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Fu, H. M., Hai Feng Zhang, H. Wang, Ming Xing Zhang, and Zhuang Qi Hu. "Multifarious Fracture Features of CuZrAlGd(Ag) Bulk Metallic Glasses." Advanced Materials Research 29-30 (November 2007): 47–50. http://dx.doi.org/10.4028/www.scientific.net/amr.29-30.47.
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Multifarious fracture features, such as coarse rive-like, micro holes, rugged and flat fracture surface, were systematically investigated in the monolithic Cu46-xZr45Al7Gd2Agx (x=0, 0.5) bulk metallic glasses. The fracture planes presented different angles with the loading direction. These fracture features were completely different from the typical fracture characteristics of amorphous alloys, i.e. vein-pattern and fracturing approximately along the maximum shear stress plane. On the other hand, some tiny strips with about 50 nm intervals were also detected on the flat fracture plane. The preliminary discussions on the formation mechanisms of these exceptional features were presented.
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Vaijayanthimala, J., and T. Padma. "Synthesis Score Level Fusion Based Multifarious Classifier for Multi-Biometrics Applications." Journal of Medical Imaging and Health Informatics 9, no. 8 (October 1, 2019): 1673–80. http://dx.doi.org/10.1166/jmihi.2019.2762.
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In this paper, we are presenting a face and signature recognition method from a large dataset with the different pose and multiple features. Initially, Face and corresponding signature are detected from devices for further pre-processing. Face recognition is the first stage of a system then the signature verification will be done. The proposed Legion feature based verification method will be developed using four important steps like, (i) feature extraction from face and data glove signals using feature Extraction. The various Features like Local binary pattern, shape and geometrical features of face, then the global and local features of the signatures were extracted. (ii) Score match normalization is used to enhance the recognition accuracy using min–max and median estimations. (iii) Then the match scores are evaluated using synthesis score level fusion based feature matching through Euclidean distance, (iv) Recognition based on the final score. Finally based on the feature library the face image and signature can be recognized. The similarity measurement is done by using Synthesis score level fusion (SSF) based multifarious Neural network (MNN) Classifier with weighted summation formulae where two weights will be optimally found out using Adapted motion search optimization algorithm. Finally SSF-MNN based matching score fusion based decision classifier to determine recognized and non-recognized biometrics. Moreover, in comparative analysis, a proposed technique is compared with the existing method by several performance metrics and the proposed SSF-MNN technique efficiently recognize the face images and corresponding signature from the input databases than the existing technique.
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Xu, Pengcheng, Zhongyuan Guo, Lei Liang, and Xiaohang Xu. "MSF-Net: Multi-Scale Feature Learning Network for Classification of Surface Defects of Multifarious Sizes." Sensors 21, no. 15 (July 29, 2021): 5125. http://dx.doi.org/10.3390/s21155125.
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In the field of surface defect detection, the scale difference of product surface defects is often huge. The existing defect detection methods based on Convolutional Neural Networks (CNNs) are more inclined to express macro and abstract features, and the ability to express local and small defects is insufficient, resulting in an imbalance of feature expression capabilities. In this paper, a Multi-Scale Feature Learning Network (MSF-Net) based on Dual Module Feature (DMF) extractor is proposed. DMF extractor is mainly composed of optimized Concatenated Rectified Linear Units (CReLUs) and optimized Inception feature extraction modules, which increases the diversity of feature receptive fields while reducing the amount of calculation; the feature maps of the middle layer with different sizes of receptive fields are merged to increase the richness of the receptive fields of the last layer of feature maps; the residual shortcut connections, batch normalization layer and average pooling layer are used to replace the fully connected layer to improve training efficiency, and make the multi-scale feature learning ability more balanced at the same time. Two representative multi-scale defect data sets are used for experiments, and the experimental results verify the advancement and effectiveness of the proposed MSF-Net in the detection of surface defects with multi-scale features.
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Hameed, Abdul Zubar, Sakthivel Aravind Raj, Jayakrishna Kandasamy, Majed Abubakr Baghdadi, and Muhammad Atif Shahzad. "Chitosan: A Sustainable Material for Multifarious Applications." Polymers 14, no. 12 (June 9, 2022): 2335. http://dx.doi.org/10.3390/polym14122335.
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Due to the versatility of its features and capabilities, chitosan generated from marine crustacean waste is gaining importance and appeal in a wide variety of applications. It was initially used in pharmaceutical and medical applications due to its antibacterial, biocompatible, and biodegradable properties. However, as the demand for innovative materials with environmentally benign properties has increased, the application range of chitosan has expanded, and it is now used in a variety of everyday applications. The most exciting aspect of the chitosan is its bactericidal properties against pathogens, which are prevalent in contaminated water and cause a variety of human ailments. Apart from antimicrobial and water filtration applications, chitosan is used in dentistry, in water filtration membranes to remove metal ions and some heavy metals from industrial effluents, in microbial fuel cell membranes, and in agriculture to maintain moisture in fruits and leaves. It is also used in skin care products and cosmetics as a moisturizer, in conjunction with fertilizer to boost plant immunity, and as a bi-adhesive for bonding woods and metals. As it has the capacity to increase the life span of food items and raw meat, it is an unavoidable component in food packing and preservation. The numerous applications of chitosan are reviewed in this brief study, as well as the approaches used to incorporate chitosan alongside traditional materials and its effect on the outputs.
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AYUNTS, Anoush. "APPLYING CONTRASTIVE ANALYSIS FOR ELUCIDATING CERTAIN FEATURES OF CULTURAL FOREIGN WORDS." Foreign Languages in Higher Education 20, no. 1-2 (20) (February 28, 2022): 3–9. http://dx.doi.org/10.46991/flhe/2016.20.1-2.003.
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Understanding verbal art is a complicated and multifarious phenomenon. The present paper is devoted to the study of some problems related to certain cases of using cultural foreign words, which are revealed due to the application of the contrastive method of analysis. By the application of the method of linguopoetic confrontation of the original and the translated versions of a work of verbal art an attempt is made to identify transliterations of cultural foreign words not having their equivalents in English or French cultures. The usage of cultural foreign words in a work of fiction ensures a global aesthetic impact on the reader.
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Cosner, Shelby, Lisa Walker, Jason Swanson, Martha Hebert, and Samuel P. Whalen. "Examining the architecture of leadership coaching." Journal of Educational Administration 56, no. 3 (May 9, 2018): 364–80. http://dx.doi.org/10.1108/jea-05-2017-0049.
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Purpose The purpose of this paper is to identify the coaching structures that aspiring principals associate with developmentally consequential coaching interactions; identify structural features/functions/attributes that shape a structure’s developmental utility and use; and consider how a multifarious coaching structure might advantage the learning experiences of aspiring principals. Design/methodology/approach This qualitative study included multiple interviews with two cohorts of aspiring principals (n=20) from one preparation program and with their leadership coaches (n=5) and was framed using the theories of social capital and networks, situated learning, and distributed cognition. Findings The authors identified eight coaching structures that aspirants identified as consequential to their learning and development. The authors identified four structural features/functions/attributes that shape a structure’s developmental utility. The authors identified three factors that contribute to the developmental utility of this multifarious coaching model. Research limitations/implications This study includes a relatively small participant sample –70 percent of the aspiring principals from two cohorts within one preparation program. Data do not include direct observations of coaching interactions within the context of individual coaching structures. Practical implications The findings suggest that the structuring of leadership coaching is a critical consideration for those designing leadership coaching programs. This multifarious structuring of leadership coaching created three developmental affordances. Originality/value This paper generates new knowledge for the field of principal preparation related to the structuring of leadership coaching and ways in which structuring can shape aspirant learning experiences. These findings are likely to also be instructive to those interested in coaching more generally.
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Lu, Yong-Heng, Yao Wang, Feng Mei, Yi-Jun Chang, Hang Zheng, Suotang Jia, and Xian-Min Jin. "Observing multifarious topological phase transitions with real-space indicator." Nanophotonics 11, no. 1 (November 26, 2021): 153–60. http://dx.doi.org/10.1515/nanoph-2021-0559.
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Abstract First- and second-order topological phases, capable of inherent protection against disorder of materials, have been recently experimentally demonstrated in various artificial materials through observing the topologically protected edge states. Topological phase transition represents a new class of quantum critical phenomena, which is accompanied by the changes related to the bulk topology of energy band structures instead of symmetry. However, it is still a challenge to directly observe the topological phase transitions defined in terms of bulk states. Here, we theoretically and experimentally demonstrate the direct observation of multifarious topological phase transitions with real-space indicator in a single photonic chip, which is formed by integration of 324 × 33 waveguides supporting both first- and second-order topological phases. The trivial-to-first-order, trivial-to-second-order and first-to-second-order topological phase transitions signified by the band gap closure can all be directly detected via photon evolution in the bulk. We further observe the creation and destruction of gapped topological edge states associated with these topological phase transitions. The bulk-state-based route to investigate the high-dimensional and high-order topological features, together with the platform of freely engineering topological materials by three-dimensional laser direct writing in a single photonic chip, opens up a new avenue to explore the mechanisms and applications of artificial devices.
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Kant, Chandra, and G. A. Harmain. "A Model Based Study of Fatigue Life Prediction for Multifarious Loadings." Key Engineering Materials 882 (April 2021): 296–327. http://dx.doi.org/10.4028/www.scientific.net/kem.882.296.
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Loading history makes fatigue crack propagation modelling complex. This article focus on life prediction models which take into consideration the variability of fluctuating loads. In particular it emphases on the comparative studies of prediction models involving the significance of one model’s over another. The paper studies models based on multifarious loadings (constant amplitude load, variable amplitude load, overload/underload etc.). The major parameters of load interaction modelling are plasticity, crack closure, effective stress intensity, effective stress ratio and damage accumulation. For large deformation, elasto-plastic fracture mechanics based models are also included. The complexity of models, their features and focusing on their limitation and strengths are stated with various conditions and also validation of models with experimental data are reported. The paper speculates on the directions the study of crack propagation will take in future.
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Verma, Shyam B., Saumya Panda, Pietro Nenoff, Archana Singal, Shivprakash M. Rudramuruthy, Silke Uhrlass, Anupam Das, Kavita Bisherwal, Dipika Shaw, and Resham Vasani. "The unprecedented epidemic-like scenario of dermatophytosis in India: I. Epidemiology, risk factors and clinical features." Indian Journal of Dermatology, Venereology and Leprology 87 (March 23, 2021): 154–75. http://dx.doi.org/10.25259/ijdvl_301_20.
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Dermatophytosis has attained unprecedented dimensions in recent years in India. Its clinical presentation is now multifarious, often with atypical morphology, severe forms and unusually extensive disease in all age groups. We hesitate to call it an epidemic owing to the lack of population-based prevalence surveys. In this part of the review, we discuss the epidemiology and clinical features of this contemporary problem. While the epidemiology is marked by a stark increase in the number of chronic, relapsing and recurrent cases, the clinical distribution is marked by a disproportionate rise in the number of cases with tinea corporis and cruris, cases presenting with the involvement of extensive areas, and tinea faciei.
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Datta, Sougata, and Santanu Bhattacharya. "Multifarious facets of sugar-derived molecular gels: molecular features, mechanisms of self-assembly and emerging applications." Chemical Society Reviews 44, no. 15 (2015): 5596–637. http://dx.doi.org/10.1039/c5cs00093a.
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Liu, Dongxu, Guangliang Han, Peixun Liu, Hang Yang, Xinglong Sun, Qingqing Li, and Jiajia Wu. "A Novel 2D-3D CNN with Spectral-Spatial Multi-Scale Feature Fusion for Hyperspectral Image Classification." Remote Sensing 13, no. 22 (November 17, 2021): 4621. http://dx.doi.org/10.3390/rs13224621.
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Multifarious hyperspectral image (HSI) classification methods based on convolutional neural networks (CNN) have been gradually proposed and achieve a promising classification performance. However, hyperspectral image classification still suffers from various challenges, including abundant redundant information, insufficient spectral-spatial representation, irregular class distribution, and so forth. To address these issues, we propose a novel 2D-3D CNN with spectral-spatial multi-scale feature fusion for hyperspectral image classification, which consists of two feature extraction streams, a feature fusion module as well as a classification scheme. First, we employ two diverse backbone modules for feature representation, that is, the spectral feature and the spatial feature extraction streams. The former utilizes a hierarchical feature extraction module to capture multi-scale spectral features, while the latter extracts multi-stage spatial features by introducing a multi-level fusion structure. With these network units, the category attribute information of HSI can be fully excavated. Then, to output more complete and robust information for classification, a multi-scale spectral-spatial-semantic feature fusion module is presented based on a Decomposition-Reconstruction structure. Last of all, we innovate a classification scheme to lift the classification accuracy. Experimental results on three public datasets demonstrate that the proposed method outperforms the state-of-the-art methods.
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Wang, Fei, Yu Yang, Baoquan Zhao, Dazhi Jiang, Siwei Chen, and Jianqiang Sheng. "Reconstructing 3D Model from Single-View Sketch with Deep Neural Network." Wireless Communications and Mobile Computing 2021 (April 19, 2021): 1–9. http://dx.doi.org/10.1155/2021/5577530.
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In this paper, we introduce a novel 3D shape reconstruction method from a single-view sketch image based on a deep neural network. The proposed pipeline is mainly composed of three modules. The first module is sketch component segmentation based on multimodal DNN fusion and is used to segment a given sketch into a series of basic units and build a transformation template by the knots between them. The second module is a nonlinear transformation network for multifarious sketch generation with the obtained transformation template. It creates the transformation representation of a sketch by extracting the shape features of an input sketch and transformation template samples. The third module is deep 3D shape reconstruction using multifarious sketches, which takes the obtained sketches as input to reconstruct 3D shapes with a generative model. It fuses and optimizes features of multiple views and thus is more likely to generate high-quality 3D shapes. To evaluate the effectiveness of the proposed method, we conduct extensive experiments on a public 3D reconstruction dataset. The results demonstrate that our model can achieve better reconstruction performance than peer methods. Specifically, compared to the state-of-the-art method, the proposed model achieves a performance gain in terms of the five evaluation metrics by an average of 25.5% on the man-made model dataset and 23.4% on the character object dataset using synthetic sketches and by an average of 31.8% and 29.5% on the two datasets, respectively, using human drawing sketches.
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Novakovic, K. E., V. L. Villemagne, C. C. Rowe, and C. L. Masters. "Rare genetically defined causes of dementia." International Psychogeriatrics 17, s1 (September 2005): S149—S194. http://dx.doi.org/10.1017/s1041610205002012.
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Several genetic disorders, though rare, are associated or present with dementia. Developments in the field of genetics are contributing to clarify and expand our knowledge of the complex physiopathological mechanisms leading to neurodegeneration and cognitive decline. Disorders associated with misfolded and aggregated proteins and lipid, metal or energy metabolism are examples of the multifarious disease processes converging in the clinical features of dementia, either as its predominant feature, as in cases of Alzheimer's disease (AD) or frontotemporal dementia (FTD), or as part of a cohort of accompanying or late-developing symptoms, as in Parkinson's disease (PD) or amyotrophic lateral sclerosis with dementia (ALS-D). Awareness of these disorders, allied with recent advances in genetic, biochemical and neuroimaging techniques, may lead to early diagnosis, successful treatment and better prognosis.
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Condella, Craig. "Democracy, Narcissism, and the World Wide Web." Techné: Research in Philosophy and Technology 16, no. 3 (2012): 252–74. http://dx.doi.org/10.5840/techne201216317.
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Against a thinker like Martin Heidegger who takes restraints on individual freedom and the promotion of authoritarianism as implicit features in the ongoing development of technology, Andrew Feenberg argues for a “democratic rationalization” of modern technology whereby people effectively choose their own futures, not in spite of their tools, but increasingly because of them. Acknowledging the Web’s democratic potential, I believe that a new threat—far different from authoritarian regimes or structures—has emerged: a rampant and multifarious narcissism that threatens to drown democratic ideals in a wave of self-obsession and self-promotion.
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Mohd Hussin, Fathin Najihah Nor, Roswanira Abdul Wahab, and Nursyafreena Attan. "Nanocellulose and nanoclay as reinforcement materials in polymer composites: A review." Malaysian Journal of Fundamental and Applied Sciences 16, no. 2 (April 15, 2020): 145–53. http://dx.doi.org/10.11113/mjfas.v16n2.1430.
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The advancement of nanotechnology has opened a new opportunity to develop nanocomposites using nanocellulose (NC) and nanoclay (NCl). Researchers have regarded these nanocomposites as promising substitutes for conventional polymers because of their characteristic and useful features, which include exceptional strength and stiffness, low weight, and low environmental impact. These features of NC and NCl explain their multifarious applications across many sectors. Here we review NC and NCl as well as various reinforced polymer composites that are made up of either of the two nanomaterials. The structural and physicochemical properties of NC and NCl are highlighted, along with the mechanical behavior and thermal properties of NC. Current nanomaterial hybrid biopolymers for the production of novel high-performance polymer nanocomposites are also discussed with respect to their mechanical properties.
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Wang, Chenwei, Jifang Pei, Zhiyong Wang, Yulin Huang, Junjie Wu, Haiguang Yang, and Jianyu Yang. "When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation." Remote Sensing 12, no. 23 (November 25, 2020): 3863. http://dx.doi.org/10.3390/rs12233863.
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With the recent advances of deep learning, automatic target recognition (ATR) of synthetic aperture radar (SAR) has achieved superior performance. By not being limited to the target category, the SAR ATR system could benefit from the simultaneous extraction of multifarious target attributes. In this paper, we propose a new multi-task learning approach for SAR ATR, which could obtain the accurate category and precise shape of the targets simultaneously. By introducing deep learning theory into multi-task learning, we first propose a novel multi-task deep learning framework with two main structures: encoder and decoder. The encoder is constructed to extract sufficient image features in different scales for the decoder, while the decoder is a tasks-specific structure which employs these extracted features adaptively and optimally to meet the different feature demands of the recognition and segmentation. Therefore, the proposed framework has the ability to achieve superior recognition and segmentation performance. Based on the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset, experimental results show the superiority of the proposed framework in terms of recognition and segmentation.
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Agarwal, Shikha. "Semantic Approach for Multifarious Ranked Novelty and Diversity in News Recommendations." Asian Journal of Engineering and Applied Technology 6, no. 2 (November 5, 2017): 18–31. http://dx.doi.org/10.51983/ajeat-2017.6.2.821.
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Information overload on web creates lots of inconvenience for end users to unearth requisite information which instigate the demand of personalized recommendations. Recommender systems strive to attain just accuracy in recommendations based on the history of user preferences, resulting in over specialized recommendations. This leads to gradual loss of user’s interest in the system. These approaches also fail to recommend other products in long list which could be of user interest but user is not aware of. This in-turn leads to sparse user profiles.In dynamic domains, novelty and diversity in coverage can handle over specialization problem. To bring useful novelty and diversity, it is proposed to semantically expand the user preferences. For this purpose our designed multi level ontology is used with linkages among concepts, entities and properties, carrying different weights. Ontology is also enriched with different relations from online semantic lexicon and annotated with additional information about entities from open and linked external knowledge source.For relevant accurate recommendations in highly dynamic domains, we propose semantic approach to implicitly capture individual user preferences in separate profiles. One profile is to capture short term dynamic interests with temporal effects and another is to capture long term static interests. Semantic profiling helps to handle preferences in manageable number of news categories which are arranged hierarchically. It also helps to handle synonymy and polysemy problems, reducing ambiguity in profiling. An additional important step of outlier analysis and rectification is proposed to handle the effects of sudden unexpected temporary drifts in dynamic user preferences. This focused analysis helps to maintain correct ranking of user preferences which is generally overlooked. The rectified ranking of user interests is fetched for semantic expansion of user preferences, to bring correct ranking in diversity and novelty.Proposed approach semantically brings reasonable multifarious novelty and diversity by analyzing different features of item. Testing is based on live data gathered from RSS feeds of popular news providers for trustworthiness. Transparency is achieved by presenting new recommendations in separate sections along with explicit trace path options, based on difference in approaches. Transparency assists end user in making decision. User’s interests in diverse and novel recommendations are updated in their individual profiles, resulting in reduction of sparsity.
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Liu, Dongxu, Guangliang Han, Peixun Liu, Hang Yang, Dianbing Chen, Qingqing Li, Jiajia Wu, and Yirui Wang. "A Discriminative Spectral-Spatial-Semantic Feature Network Based on Shuffle and Frequency Attention Mechanisms for Hyperspectral Image Classification." Remote Sensing 14, no. 11 (June 3, 2022): 2678. http://dx.doi.org/10.3390/rs14112678.
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Due to end-to-end optimization characteristics and fine generalization ability, convolutional neural networks have been widely applied to hyperspectral image (HSI) classification, playing an irreplaceable role. However, previous studies struggle with two major challenges: (1) HSI contains complex topographic features, the number of labeled samples in different categories is unbalanced, resulting in poor classification for categories with few labeled samples; (2) With the deepening of neural network models, it is difficult to extract more discriminative spectral-spatial features. To address the issues mentioned above, we propose a discriminative spectral-spatial-semantic feature network based on shuffle and frequency attention mechanisms for HSI classification. There are four main parts of our approach: spectral-spatial shuffle attention module (SSAM), context-aware high-level spectral-spatial feature extraction module (CHSFEM), spectral-spatial frequency attention module (SFAM), and cross-connected semantic feature extraction module (CSFEM). First, to fully excavate the category attribute information, SSAM based on a “Deconstruction-Reconstruction” structure is designed, solving the problem of poor classification performance caused by an unbalanced number of label samples. Considering that deep spectral-spatial features are difficult to extract, CHSFEM and SFAM are constructed. The former is based on the “Horizontal-Vertical” structure to capture context-aware high-level multiscale features. The latter introduces multiple frequency components to compress channels to obtain more multifarious features. Finally, towards suppressing noisy boundaries efficiently and capturing abundant semantic information, CSFEM is devised. Numerous experiments are implemented on four public datasets: the evaluation indexes of OA, AA and Kappa on four datasets all exceed 99%, demonstrating that our method can achieve satisfactory performance and is superior to other contrasting methods.
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Mishra, Ravendra Kumar, Sudesh Kumar Garg, Rupa Rani Sharma, and Priyanka Sharma. "Estimation Features by Transformed Bernstein kind Polynomials." International Journal of Experimental Research and Review 32 (August 30, 2023): 110–14. http://dx.doi.org/10.52756/ijerr.2023.v32.008.
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In our extensive study of literature, we delved into the multifarious manifestations of discrete operator transformations. These transformations are pivotal in mathematical analysis, especially concerning Lebesgue integral equations. Our investigation led us to corroborate the findings of Acu, Heilmann and Lorentz particularly in the context of functions normed under the L1-norm. Generalization was a key facet of our research, wherein we probed deeper into these operators' behaviors. This endeavor yielded a profound result: the derivation of a global asymptotic formula, providing invaluable insight into the long-term trends exhibited by these operators. Such formulae are instrumental in predicting the operators' behaviors over an extended span. Furthermore, our exploration unveiled a plethora of findings related to these generalized operators. We meticulously computed various moments, shedding light on the statistical characteristics of these transformations. This included an investigation into convergence properties, essential for understanding the stability and reliability of the operators in question. One of the most noteworthy contributions of our study is the elucidation of pointwise approximation and direct results. These findings offer practical applications, allowing for precise and efficient approximations in practical scenarios. This is particularly significant in fields where these operators are routinely employed, such as signal processing, numerical analysis, and scientific computing. In essence, our research has not only confirmed the foundational work of Acu, Heilmann and Lorentz but has also expanded the horizons of knowledge surrounding discrete operator transformations, offering a wealth of insights and practical implications for a wide range of mathematical and computational applications.
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Ma, Dik-Lung, Chun Wu, Sha-Sha Cheng, Fu-Wa Lee, Quan-Bin Han, and Chung-Hang Leung. "Development of Natural Product-Conjugated Metal Complexes as Cancer Therapies." International Journal of Molecular Sciences 20, no. 2 (January 15, 2019): 341. http://dx.doi.org/10.3390/ijms20020341.
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Platinum-based drugs have revolutionized cancer care, but are unfortunately associated with various adverse effects. Meanwhile, natural product scaffolds exhibit multifarious bioactivities and serve as an attractive resource for cancer therapy development. Thus, the conjugation of natural product scaffolds to metal complexes becomes an attractive strategy to reduce the severe side effects arising from the use of metal bearing drugs. This review aims to highlight the recent examples of natural product-conjugated metal complexes as cancer therapies with enhanced selectivity and efficacy. We discuss the mechanisms and features of different conjugate complexes and present an outlook and perspective for the future of this field.
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Ye, Dongdong, Weize Wang, Zhou Xu, Changdong Yin, Haiting Zhou, and Yuanjun Li. "Prediction of Thermal Barrier Coatings Microstructural Features Based on Support Vector Machine Optimized by Cuckoo Search Algorithm." Coatings 10, no. 7 (July 21, 2020): 704. http://dx.doi.org/10.3390/coatings10070704.
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Microstructural features have a vital effect on the comprehensive performance of thermal barrier coatings (TBCs) and highly depend on the thermal spray processing parameters. Herein, a novel hybrid machine-learning method was proposed to predict the microstructural features of TBCs using thermal spray processing parameters based on a support vector machine method optimized by the cuckoo search algorithm (CS-SVM). In this work, atmospheric-plasma-sprayed (APS) TBCs samples with multifarious microstructural features were acquired by modifying the spray powder size, spray distance, and spray power during thermal spray processing. The processing parameters were used as the inputs for the CS-SVM model. Then, the porosity, the pore-to-crack ratio, the maximum Feret’s diameter, the aspect ratio, and the circularity were counted and treated as the targets for the CS-SVM model. After optimization and training procedure of the CS-SVM model, the predicted results were compared to the results of experimental data, as a result, the squared correlation coefficient (R2) of CS-SVM model showed that the prediction accuracy reached by over 95%, and the root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) were less than 0.1, which also verified the reliability of the CS-SVM model. Finally, this study proposed a novel and efficient microstructural feature prediction that could be potentially employed to improve the performance of TBCs in service.
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Możdżyńska-Nawotka, Małgorzata. "An Inspiring Object: A Wedding Uchikake Kimono from the Collection of the National Museum in Kraków and its Multiple Representations." Costume 56, no. 2 (September 2022): 183–207. http://dx.doi.org/10.3366/cost.2022.0230.
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The article is concerned with a Japanese wedding uchikake kimono, c. 1800–1850, acquired by distinguished Polish collector Feliks ‘Manggha’ Jasieński in 1900, the nuanced issues surrounding its multiple representations in Polish painting and photography during the period 1900–1908, and the multifarious meanings with which the garment was imbued. The uchikake’s original features exerted a seminal formal influence upon its representations. The interpretive process was also informed by perceptions concerning the woman’s status in society and marriage in Japan and in the West, Western and Japanese artistic traditions, as well as current Japonisme in art and fashion. In each of its representations, the uchikake also conveyed personal meanings important to the artist/wearer.
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Yang, Kan, Kaixuan Jiang, Zhengwen Xu, Yali Song, and Jinxin Wang. "Targeting sphingosine kinase 1 for the treatment of pulmonary arterial hypertension." Future Medicinal Chemistry 11, no. 22 (November 2019): 2939–53. http://dx.doi.org/10.4155/fmc-2019-0130.
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Pulmonary arterial hypertension (PAH), characterized by high morbidity and mortality, is a serious hazard to human life. Until now, the long-term survival of the PAH patients is still suboptimal. Recently, sphingosine kinase 1 (SPHK1) has drawn more and more attention due to its essential role in the pulmonary vasoconstriction, remodeling of pulmonary blood vessels and right cardiac lesions in PAH patients, and this enzyme is regarded as a new target for the treatment of PAH. Here, we discussed the multifarious functions of SPHK1 in PAH physiology and pathogenesis. Moreover, the structural features of SPHK1 and binding modes with different inhibitors were summarized. Finally, recent advances in the medicinal chemistry research of SPHK1 inhibitors are presented.
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Dharmaiah, G., O. D. Makinde, and K. S. Balamurugan. "Influence of Magneto Hydro Dynamics (MHD) Nonlinear Radiation on Micropolar Nanofluid Flow Over a Stretching Surface: Revised Buongiorno’s Nanofluid Model." Journal of Nanofluids 11, no. 6 (December 1, 2022): 1009–22. http://dx.doi.org/10.1166/jon.2022.1890.
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A mathematical model is proposed to explore MHD micropolar nanofluid flow across a permeable stretching plane under non-linear radiation. Implication of heat generation with activation energy, Neild’s condition and Second order momentum slip of micropolar nanoparticles on the sheet is an additional features in respect novelty. For nanofluid, Buongiorno’s model, which includes thermophoresis and Brownian motion, is assumed. With the aid of new similarity transformations, the governing PDEs are reduced into nonlinear ODEs. Later, these reduced eq’s are numerically solved using 4th order Range–Kutta method adopting shooting technique and coded in MATLAB. To validate the imparted findings, a comparison with previously published limited case studies is included. The salient fluid flow characteristics of three distributions are expressed figuratively for multifarious selected germane parameters. Applications of the study arise in materials processing.
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Chakraborty, Avishek, Sankar Prasad Mondal, Shariful Alam, Ali Ahmadian, Norazak Senu, Debashis De, and Soheil Salahshour. "The Pentagonal Fuzzy Number:Its Different Representations, Properties, Ranking, Defuzzification and Application in Game Problems." Symmetry 11, no. 2 (February 16, 2019): 248. http://dx.doi.org/10.3390/sym11020248.
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In this paper, different measures of interval-valued pentagonal fuzzy numbers (IVPFN) associated with assorted membership functions (MF) were explored, considering significant exposure of multifarious interval-valued fuzzy numbers in neoteric studies.Also, the idea of MF is generalized somewhat to nonlinear membership functions for viewing the symmetries and asymmetries of the pentagonal fuzzy structures. Accordingly,the construction of level sets, for each case of linear and nonlinear MF was also carried out. Besides, defuzzification was undertaken using three methods and a ranking method, which were also the main features of this framework.The developed intellects were implemented in a game problem by taking the parameters as PFNs, ultimately resulting in a new direction for modeling real world problems and to comprehend the uncertainty of the parameters more precisely in the evaluation process.
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Yasenchuk, Yuri, Ekaterina Marchenko, Victor Gunther, Andrey Radkevich, Oleg Kokorev, Sergey Gunther, Gulsharat Baigonakova, et al. "Biocompatibility and Clinical Application of Porous TiNi Alloys Made by Self-Propagating High-Temperature Synthesis (SHS)." Materials 12, no. 15 (July 28, 2019): 2405. http://dx.doi.org/10.3390/ma12152405.
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Porous TiNi alloys fabricated by self-propagating high-temperature synthesis (SHS) are biomaterials designed for medical application in substituting tissue lesions and they were clinically deployed more than 30 years ago. The SHS process, as a very fast and economically justified route of powder metallurgy, has distinctive features which impart special attributes to the resultant implant, facilitating its integration in terms of bio-mechanical/chemical compatibility. On the phenomenological level, the fact of high biocompatibility of porous SHS TiNi (PTN) material in vivo has been recognized and is not in dispute presently, but the rationale is somewhat disputable. The features of the SHS TiNi process led to a multifarious intermetallic Ti4Ni2(O,N,C)-based constituents in the amorphous-nanocrystalline superficial layer which entirely conceals the matrix and enhances the corrosion resistance of the unwrought alloy. In the current article, we briefly explore issues of the high biocompatibility level on which additional studies could be carried out, as well as recent progress and key fields of clinical application, yet allowing innovative solutions.
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Khan, Najeeb Alam, Oyoon Abdul Razzaq, Avishek Chakraborty, Sankar Parsad Mondal, and Shariful Alam. "Measures of Linear and Nonlinear Interval-Valued Hexagonal Fuzzy Number." International Journal of Fuzzy System Applications 9, no. 4 (October 2020): 21–60. http://dx.doi.org/10.4018/ijfsa.2020100102.
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In the view of significant exposure of multifarious interval-valued fuzzy numbers in neoteric studies, different measures of interval-valued generalized hexagonal fuzzy numbers (IVGHFN) associated with assorted membership functions (MF) are explored in this article. Considering the symmetricity and asymmetricity of the hexagonal fuzzy structures, the idea of MF is generalized a bit more, to nonlinear membership functions. The construction of level sets, accordingly for each case of linear and nonlinear MF are also carried out. In addition, the concepts of generalized Hukuhara (gH) differentiability for the interval-valued generalized hexagonal fuzzy functions (IVGHFF) are also the main features of this framework. Illustratively, the developed intellects are implemented on a logistic population growth problem, by taking ecological functions as IVGHFFs. For the further numerical demonstrations of the model, artificial neural network with simulated annealing (ANNSA) algorithm is utilized.
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Kiapidou, Eirini-Sophia. "Writing letters and chronography in parallel: the case of Michael Glykas’ letter collection and Biblos Chronike in the 12th century." Byzantinische Zeitschrift 113, no. 3 (August 1, 2020): 837–52. http://dx.doi.org/10.1515/bz-2020-0036.
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AbstractThis paper focuses on the 12th-century Byzantine scholar Michael Glykas and the two main pillars of his multifarious literary production, Biblos Chronike and Letters, thoroughly exploring for the first time the nature of their interconnection. In addition to the primary goal, i. e. clarifying as far as possible the conditions in which these two works were written, taking into account their intertextuality, it extends the discussion to the mixture of features in texts of different literary genre, written in parallel, by the same author, based on the same material. By presenting the evidence drawn from the case of Michael Glykas, the paper attempts to stress the need to abandon the strictly applied taxonomical logic in approaching Byzantine Literature, as it ultimately prevents us from constitute the full mark of each author in the history of Byzantine culture.
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Olabanji, Olayinka Mohammed, and Khumbulani Mpofu. "Fusing Multi-Attribute Decision Models for Decision Making to Achieve Optimal Product Design." Foundations of Computing and Decision Sciences 45, no. 4 (December 1, 2020): 305–37. http://dx.doi.org/10.2478/fcds-2020-0016.
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Abstract Manufacturers need to select the best design from alternative design concepts in order to meet up with the demand of customers and have a larger share of the competitive market that is flooded with multifarious designs. Evaluation of conceptual design alternatives can be modelled as a Multi-Criteria Decision Making (MCDM) process because it includes conflicting design features with different sub features. Hybridization of Multi Attribute Decision Making (MADM) models has been applied in various field of management, science and engineering in order to have a robust decision-making process but the extension of these hybridized MADM models to decision making in engineering design still requires attention. In this article, an integrated MADM model comprising of Fuzzy Analytic Hierarchy Process (FAHP), Fuzzy Pugh Matrix and Fuzzy VIKOR was developed and applied to evaluate conceptual designs of liquid spraying machine. The fuzzy AHP was used to determine weights of the design features and sub features by virtue of its fuzzified comparison matrix and synthetic extent evaluation. The fuzzy Pugh matrix provides a methodical structure for determining performance using all the design alternatives as basis and obtaining aggregates for the designs using the weights of the sub features. The fuzzy VIKOR generates the decision matrix from the aggregates of the fuzzified Pugh matrices and determine the best design concept from the defuzzified performance index. At the end, the optimal design concept is determined for the liquid spraying machine.
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Thomaskutty, Johnson. "Jesus and Spirituality: Reading the Fourth Gospel in the Light of the Indian Culture." Religions 12, no. 9 (September 17, 2021): 780. http://dx.doi.org/10.3390/rel12090780.
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The Gospel of John is considered as one of the significant literary masterpieces that appeals to Indian spirituality and ideals in multifarious ways. The Gospel has unique features as a universalistic rhetoric that encompasses feelings and aspirations of Indians. The character of Jesus in the Gospel and His assimilative power to contemporary realities reverberate the situational aspects of Indian communities. In the current article, first of all, an attempt is made to explore the character of Jesus and the impression of the Johannine spirituality in relation to Indian realities. We also attempt to place the Fourth Gospel in Indian context in order to derive an interpretative dynamism that takes into account both the Jesus of John and the diverse religious and cultural aspects of today’s context. The character of Jesus and the spirituality reflected in John have much in common with the mystical traditions of the Indian religions.
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Cacciatore, Matilde, Carla Guarnotta, Marco Calvaruso, Sabina Sangaletti, Ada Maria Florena, Vito Franco, Mario Paolo Colombo, and Claudio Tripodo. "Microenvironment-Centred Dynamics in Aggressive B-Cell Lymphomas." Advances in Hematology 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/138079.
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Aggressive B-cell lymphomas share high proliferative and invasive attitudes and dismal prognosis despite heterogeneous biological features. In the interchained sequence of events leading to cancer progression, neoplastic clone-intrinsic molecular events play a major role. Nevertheless, microenvironment-related cues have progressively come into focus as true determinants for this process. The cancer-associated microenvironment is a complex network of nonneoplastic immune and stromal cells embedded in extracellular components, giving rise to a multifarious crosstalk with neoplastic cells towards the induction of a supportive milieu. The immunological and stromal microenvironments have been classically regarded as essential partners of indolent lymphomas, while considered mainly negligible in the setting of aggressive B-cell lymphomas that, by their nature, are less reliant on external stimuli. By this paper we try to delineate the cardinal microenvironment-centred dynamics exerting an influence over lymphoid clone progression in aggressive B-cell lymphomas.
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Zhang, Yujie, and Zebin Wang. "Feature Engineering and Model Optimization Based Classification Method for Network Intrusion Detection." Applied Sciences 13, no. 16 (August 18, 2023): 9363. http://dx.doi.org/10.3390/app13169363.
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In light of the escalating ubiquity of the Internet, the proliferation of cyber-attacks, coupled with their intricate and surreptitious nature, has significantly imperiled network security. Traditional machine learning methodologies inherently exhibit constraints in effectively detecting and classifying multifarious cyber threats. Specifically, the surge in high-dimensional network traffic data and the imbalanced distribution of classes exacerbate the predicament of ideal classification performance. Notably, the presence of redundant information within network traffic data undermines the accuracy of classifiers. To address these challenges, this study introduces a novel approach for intrusion detection classification which integrates advanced techniques of feature engineering and model optimization. The method employs a feature engineering approach that leverages mutual information maximum correlation minimum redundancy (mRMR) feature selection and synthetic minority class oversampling technique (SMOTE) to process network data. This transformation of raw data into more meaningful features effectively addresses the complexity and diversity inherent in network data, enhancing classifier accuracy by reducing feature redundancy and mitigating issues related to class imbalance and the detection of rare attacks. Furthermore, to optimize classifier performance, the paper applies the Optuna method to fine-tune the hyperparameters of the Catboost classifier, thereby determining the optimal model configuration. The study conducts binary and multi-classification experiments using publicly available datasets, including NSL_KDD, UNSW-NB15, and CICIDS-2017. Experimental results demonstrate that the proposed method outperforms traditional approaches regarding accuracy, recall, precision, and F-value. These findings highlight the method’s potential and performance in network intrusion detection.
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Conrad, Jobst. "Climate Research and Climate Change: Reconsidering Social Science Perspectives." Nature and Culture 4, no. 2 (June 1, 2009): 113–22. http://dx.doi.org/10.3167/nc.2009.040201.
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The article provides a general overview of social sciences perspectives to analyze and theorize climate research, climate discourse, and climate policy. First, referring to the basic paradigm of sociology, it points out the feasible scope and necessary methodology of environmental sociology as a social science concerning the analysis of physical nature. Second, it illustrates this epistemological conception by few examples, summarizing main results of corresponding climate-related social science investigations dealing with the development dynamics of climate research, the role of scientific (climate impact) assessments in politics, varying features and changes of climate discourses, climate policy formation, and knowledge diffusion from climate science. The receptivity of climate discourse and climate policy to the results of problem-oriented climate research is strongly shaped and limited by its multifarious character as well as by their own (internal) logics. The article shows that social sciences contribute their specific (conceptual) competences to problem-oriented research by addressing climate change and corresponding adaptation and mitigation strategies.
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Lakshmi, Buddolla Anantha, and Young-Joon Kim. "Modernistic and Emerging Developments of Nanotechnology in Glioblastoma-Targeted Theranostic Applications." International Journal of Molecular Sciences 23, no. 3 (January 31, 2022): 1641. http://dx.doi.org/10.3390/ijms23031641.
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Brain tumors such as glioblastoma are typically associated with an unstoppable cell proliferation with aggressive infiltration behavior and a shortened life span. Though treatment options such as chemotherapy and radiotherapy are available in combating glioblastoma, satisfactory therapeutics are still not available due to the high impermeability of the blood–brain barrier. To address these concerns, recently, multifarious theranostics based on nanotechnology have been developed, which can deal with diagnosis and therapy together. The multifunctional nanomaterials find a strategic path against glioblastoma by adjoining novel thermal and magnetic therapy approaches. Their convenient combination of specific features such as real-time tracking, in-depth tissue penetration, drug-loading capacity, and contrasting performance is of great demand in the clinical investigation of glioblastoma. The potential benefits of nanomaterials including specificity, surface tunability, biodegradability, non-toxicity, ligand functionalization, and near-infrared (NIR) and photoacoustic (PA) imaging are sufficient in developing effective theranostics. This review discusses the recent developments in nanotechnology toward the diagnosis, drug delivery, and therapy regarding glioblastoma.
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Ciocan, Lucian Toma, Jana Ghitman, Vlad Gabriel Vasilescu, and Horia Iovu. "Mechanical Properties of Polymer-Based Blanks for Machined Dental Restorations." Materials 14, no. 23 (November 29, 2021): 7293. http://dx.doi.org/10.3390/ma14237293.
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The tremendous technological and dental material progress led to a progressive advancement of treatment technologies and materials in restorative dentistry and prosthodontics. In this approach, CAD/CAM restorations have proven to be valuable restorative dental materials in both provisional and definitive restoration, owing to multifarious design, improved and highly tunable mechanical, physical and morphological properties. Thus far, the dentistry market offers a wide range of CAD/CAM restorative dental materials with highly sophisticated design and proper characteristics for a particular clinical problem or multiple dentistry purposes. The main goal of this research study was to comparatively investigate the micro-mechanical properties of various CAD/CAM restorations, which are presented on the market and used in clinical dentistry. Among the investigated dental specimens, hybrid ceramic-based CAD/CAM presented the highest micro-mechanical properties, followed by CAD/CAM PMMA-graphene, while the lowest micro-mechanical features were registered for CAD/CAM multilayered PMMA.
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Pandeeswari, D., A. Hariharasudan, C. Gangalakshmi, P. Madhumitha, and C. Saranya. "Linking Metanarrative: Lexical Content in Preeti Shenoy’s A Hundred Little Flames." World Journal of English Language 12, no. 2 (March 15, 2022): 14. http://dx.doi.org/10.5430/wjel.v12n2p14.
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The Postmodern metanarrative abbreviates the relation between entrap the texts that are wreaked by incidents, quotes, allusions, translation and so on. The aim of the study spotlights on the postmodern tendency of metanarrative in Preeti Shenoy’s selected text, A Hundred Little Flames. Preeti Shenoy is a multifarious postmodern writer. The term metanarrative is linked with dialect in the texts. The features of metanarrative are dialect, incident, way of narration and allusion etc. Jean Francois Lyotard is one among notable theorist of metanarrative. The present study has adopted only Lyotard’s metanarrative theory. The methodology of the study splits into three metanarrative concepts – narration towards knowledge, narration towards dialect and narration towards nostalgia. Lyotard proposed these three diverse concepts in his famous book The Postmodern Condition. These metanarrative concepts are adapted to the present study, and the authors have investigated the metanarrative elements in the select text of Shenoy. The results of the study are evaluated with other studies under postmodern metanarrative.
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Kumar, Pratyush. "Review Essay: A “Countertenor’s” polyphonic rendition of the Constituent Assembly Debates." Verfassung in Recht und Übersee 54, no. 4 (2021): 552–73. http://dx.doi.org/10.5771/0506-7286-2021-4-552.
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The Indian Constituent Assembly Debates is a remarkable deliberative document to create the written constitution of the democratic republic of India based on an open society. By its very nature the text is polyphonic and had multifarious voices with a dominant and uniting trend to create a liberal constitutional state with Indian features suited to Indian conditions. The intention, and rightfully so, was not to bring about a “revolution” in the nature of a Russian, Chinese or even the French variant, soon slipping into dictatorships of either party or bureaucratic elites or charismatic individuals; but was to create a democratic polity based on liberal constitutional values drawing from India’s history and cultural conditions. This rich text running into few thousand pages is being explored in some of its aspects in the present work. Though, the tone and tenor of the present work is not representing the dominant voice of a soprano but that of a countertenor who is castrated to reach the higher octave.
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Manjunath, R. M., Kumuda valli, Yathindra Sai Ganesh, and Marzan G. "Gendroid- A Conceptual Bio-Info Android App and Its Challenges." Data Analytics and Artificial Intelligence 3, no. 2 (February 1, 2023): 116–20. http://dx.doi.org/10.46632/daai/3/2/22.
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Bioinformatics is a vast multifarious domain having a share of concepts from Mathematics, Computer Programming to Biological Sciences. It is the leading thrust area in research perspective. It demands knowledge of both Computers and Biology. Latterly has seen an exponential usage of Apps be it for educational purposes or for commercial use. Android app development is playing a key role in creating the demand for newer concepts, which has already dominated the Bio world. Bioinformatics, especially gene analysis has motivated the developers to create many apps related to the bio functionalities. But due to its vast nature and voluminous data, the development cycle is demanding more expertise from the developers. Various Bio-apps are in the market but are not sufficiently covering all the features. This article lists the existing bio-apps with usage analytics based on number of downloads. It strives to explain the conceptual model of Gendroid, a multipurpose bio-app with its prospective development challenges.
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Mosqueira, Lis-Slimak, and Denning. "High-Throughput Phenotyping Toolkit for Characterizing Cellular Models of Hypertrophic Cardiomyopathy in Vitro." Methods and Protocols 2, no. 4 (October 26, 2019): 83. http://dx.doi.org/10.3390/mps2040083.
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Hypertrophic cardiomyopathy (HCM) is a prevalent and complex cardiovascular disease characterised by multifarious hallmarks, a heterogeneous set of clinical manifestations, and several molecular mechanisms. Various disease models have been developed to study this condition, but they often show contradictory results, due to technical constraints and/or model limitations. Therefore, new tools are needed to better investigate pathological features in an unbiased and technically refined approach, towards improving understanding of disease progression. Herein, we describe three simple protocols to phenotype cellular models of HCM in vitro, in a high-throughput manner where technical artefacts are minimized. These are aimed at investigating: (1) Hypertrophy, by measuring cell volume by flow cytometry; (2) HCM molecular features, through the analysis of a hypertrophic marker, multinucleation, and sarcomeric disarray by high-content imaging; and (3) mitochondrial respiration and content via the Seahorse™ platform. Collectively, these protocols comprise straightforward tools to evaluate molecular and functional parameters of HCM phenotypes in cardiomyocytes in vitro. These facilitate greater understanding of HCM and high-throughput drug screening approaches and are accessible to all researchers of cardiac disease modelling. Whilst HCM is used as an exemplar, the approaches described are applicable to other cellular models where the investigation of identical biological changes is paramount.
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Somnath Shankhari. "Deconstructive Features of Culture and Natural Instinct in Jhumpa Lahiri’s Short Stories “Interpreter of Maladies” and “Sexy”: A Criticism of the Values of Life." Creative Launcher 5, no. 5 (December 30, 2020): 160–68. http://dx.doi.org/10.53032/tcl.2020.5.5.21.
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Jhumpa Lahiri in her collection of short stories, “The Interpreter of Maladies”, has accentuated on the multifarious level of complexities that ooze along the repository of feelings and emotions of an individual, in a subterraneous manner. Two short stories of the book, namely “The Interpreter of Maladies” and “Sexy” unveil the lack of contentment, frustrations and craving for a harmoniously reciprocal relationship amongst the protagonists, who through their life struggle, sometimes prioritizes the culture with its prevalent ideals, while on the other hand instinctively let their individualities float on the intrinsic urge to follow the passionate longing for a natural instincts. Derrida's deconstruction deals with the tactics of decentering as well as subverting the privileged term in favour of the prominence of the marginalized one, and thereby promoting a free play of dominance of both the central and repressed ideas and meanings without having a hierarchy. Now, in both the above mentioned stories, conforming to the features of deconstruction the prime characters show their allegiance to the dominant cultural ethics, notions, values, ideas, customs and behaviour, but an instinctive, repressed personal yearning for the affinity with a more compatible and considerate partner, which remains subterraneous in their psyche and constantly strives to possess the centre of their instrumental impetuses of life.
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Colozza, Noemi, Veronica Caratelli, Danila Moscone, and Fabiana Arduini. "Origami Paper-Based Electrochemical (Bio)Sensors: State of the Art and Perspective." Biosensors 11, no. 9 (September 10, 2021): 328. http://dx.doi.org/10.3390/bios11090328.
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In the last 10 years, paper-based electrochemical biosensors have gathered attention from the scientific community for their unique advantages and sustainability vision. The use of papers in the design the electrochemical biosensors confers to these analytical tools several interesting features such as the management of the solution flow without external equipment, the fabrication of reagent-free devices exploiting the porosity of the paper to store the reagents, and the unprecedented capability to detect the target analyte in gas phase without any sampling system. Furthermore, cost-effective fabrication using printing technologies, including wax and screen-printing, combined with the use of this eco-friendly substrate and the possibility of reducing waste management after measuring by the incineration of the sensor, designate these type of sensors as eco-designed analytical tools. Additionally, the foldability feature of the paper has been recently exploited to design and fabricate 3D multifarious biosensors, which are able to detect different target analytes by using enzymes, antibodies, DNA, molecularly imprinted polymers, and cells as biocomponents. Interestingly, the 3D structure has recently boosted the self-powered paper-based biosensors, opening new frontiers in origami devices. This review aims to give an overview of the current state origami paper-based biosensors, pointing out how the foldability of the paper allows for the development of sensitive, selective, and easy-to-use smart and sustainable analytical devices.
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Priyadharshini, P., S. Mohan, A. Hariharasudan, and J. Sangeetha. "Authenticity of liberal feminism in Namita Gokhale's texts." Linguistics and Culture Review 5, S1 (July 8, 2021): 46–59. http://dx.doi.org/10.21744/lingcure.v5ns1.1312.
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Liberal feminism abbreviates women’s right and their empowerment. The aim of this study highlights liberal feminism in Namita Gokhale’s works The Book of Shadows (2001), Priya: In Incredible Indyaa (2011) and Things to leave Behind (2016). The features of liberal feminism exhibit the women protagonists’ grief and exertion to attain their goal and their responsibilities. Namita Gokhale is a multifarious writer, and her popular works are The Book of Shadows (2001), Priya: In Incredible Indyaa (2011) and Things to leave Behind (2016). Indian Fiction in general as well as in Indian English Fiction, both original and in translation (Gupta, 2020). The selected works have the issues of liberal feminism ideas that reflect throughout her writing. In Namita Gokhale’s works, the major protagonists that represent liberal feminist attributes are Rachita, Priya and Tilottama. Each character has the reflection of liberal feminist ideas through their life. The notable thinkers of liberal feminism are John Stuart Mill, Mary Wollstonecraft, Betty Friedan, Rosemarie Tong, Susan Moller Okin, Martha Nussbaum and Zillah Eisenstein.
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Singh Chowhan, Rahul. "Mobile Agent based Workflow Management System (MAWFMS) for Information Flow and Business Processes." Oriental journal of computer science and technology 11, no. 1 (March 23, 2018): 40–49. http://dx.doi.org/10.13005/ojcst11.01.08.
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Mobile agents are a very novice field with wider scope of research in the stream of a integrated coherent networks, parallel programming, automated learning, remote execution and artificial intelligence. A mobile agent is a representative that is often treated as moving object developed using any object oriented programming language. Using a WFMS is an emerging current trend in modeling, research methodologies and implementing the information/data flow and various related business processes within an organization. Work is often credited as a task, information, a document, data, announcements or a job that passes through different nodes within an organization. The integration of WFMS involves the automation of various processes such as tasks, documents, processed data, and information or rules to accomplish a task. This automation within the technology can be achieved by integration of agent based technology that makes use of Mobile Agent Paradigm. This paper briefs about various features, benefits and role mobile agents in Workflow management system. This also highlights how the implementation of MAWFMS can smoothen and simplifies the workflow managements in multifarious event based environments.
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Skrede, Joar, and Herdis Hølleland. "Uses of Heritage and beyond: Heritage Studies viewed through the lens of Critical Discourse Analysis and Critical Realism." Journal of Social Archaeology 18, no. 1 (February 2018): 77–96. http://dx.doi.org/10.1177/1469605317749290.
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Uses of Heritage (2006) has been an important contribution to the development of Heritage Studies. Resting on a thorough ‘re-read’ of this modern classic, the article analyses the text applying some central concepts from Critical Discourse Analysis and Critical Realism in order to review the arguments put forward. One of the linguistic features from Critical Discourse Analysis we draw on is ‘nominalization’, which refers to replacing verb processes with a noun construction. Re-reading Uses of Heritage and other succeeding publications, it is apparent that the phrase ‘Authorized Heritage Discourse’ is nominalized and reified into an entity obscuring who does what to whom, thereby making the ‘Authorized Heritage Discourse’ a self-evident unit of explanation. Furthermore, the insistence on viewing heritage as a cultural process rather than as ‘things’ is not readably compatible with Critical Realism’s non-reductionist stance. Wrapping up, we nonetheless argue that really taking Critical Discourse Analysis and Critical Realism on board could provide a rule of conduct for the future developments of Heritage Studies, where multifarious conceptions of heritage can co-exist.
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Jing, Lu Yang, Dong Xiang Chen, Tai Yong Wang, and Peng Wang. "Research on SVM Based Diagnosis System for Oil Tubing." Key Engineering Materials 693 (May 2016): 1405–11. http://dx.doi.org/10.4028/www.scientific.net/kem.693.1405.
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Oil tubing is one of the most used equipment in oil extraction operations. An effective diagnosis system for it can provide multifarious benefits such as improved safety, efficient production and reduced costs for maintenance. In this paper, a support vector machine (SVM) based diagnosis system for oil tubing is studied and designed. SVM method has many advantages in solving the problem of small sample, pattern recognition of high dimensionality and nonlinear problems, which is fitable to the situation of oil tubing diagnosis. The SVM based diagnosis system for oil tubing is consisted of two parts: The hardware system part, including the detector and conditioning circuit board, and the software system part, including the SVM based analysis system. The detector is disposed on the wellhead and detects the leakage of magnetic field. The conditioning circuit board focuses on signal amplification and noise removal. The SVM based analysis system diagnoses the faults by the features of detected signal. An experiment platform is designed to certify the whole system and prove it perform well with a high diagnosis accuracy.
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Hook, Alan, Danielle Barrios-O'Neill, and Jolene Mairs Dyer. "A Transmedia Topology of Making a Murderer." Non-fiction Transmedia 5, no. 10 (December 31, 2016): 124. http://dx.doi.org/10.18146/2213-0969.2016.jethc117.
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This article constructs a transmedia topology of the Making a Murderer text, demonstrating influences of various forms of documentary, interactive gaming culture, and post-digital writing on the series itself as well as on the paratextual cloud of works that grew up around it. Here we define transmedia topology as a tracing of what we could call the geography of the text, as defined by its features and boundaries (or lack thereof). We will discuss the intentionality of the series creators, as well as the emergence of a transmedial textuality that is owed largely to audiences and the textual terrain. The Making a Murderer series thus becomes the basis for a larger transmedia narrative that sprawls across social-digital networks, a pastiche of multifarious public reaction and unsanctioned investigation. The article maps the ecologies of interaction, participation and creation with and of the text by the audience to map the thresholds of the transmedial text and investigate new approaches to analysing transmedial work in the context of non-fiction media forms.
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Xing, Yan, Jieqing Tan, Peilin Hong, Yeyuan He, and Min Hu. "Mesh Denoising Based on Recurrent Neural Networks." Symmetry 14, no. 6 (June 14, 2022): 1233. http://dx.doi.org/10.3390/sym14061233.
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Mesh denoising is a classical task in mesh processing. Many state-of-the-art methods are still unable to quickly and robustly denoise multifarious noisy 3D meshes, especially in the case of high noise. Recently, neural network-based models have played a leading role in natural language, audio, image, video, and 3D model processing. Inspired by these works, we propose a data-driven mesh denoising method based on recurrent neural networks, which learns the relationship between the feature descriptors and the ground-truth normals. The recurrent neural network has a feedback loop before entering the output layer. By means of the self-feedback of neurons, the output of a recurrent neural network is related not only to the current input but also to the output of the previous moments. To deal with meshes with various geometric features, we use k-means to cluster the faces of the mesh according to geometric similarity and train neural networks for each category individually in the offline learning stage. Each network model, acting similar to a normal regression function, will map the geometric feature descriptor of each facet extracted from the mesh to the denoised facet normal. Then, the denoised normals are used to calculate the new feature descriptors, which become the input of the next similar regression model. In this system, three normal regression modules are cascaded to generate the last facet normals. Lastly, the model’s vertex positions are updated according to the denoised normals. A large number of visual and numerical results have demonstrated that the proposed model outperforms the state-of-the-art methods in most cases.
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Bhattacharjee, Somenath. "Environmental Resources, Traditional Economic Organization and Its Role in the Empowerment of Marginal Tribal Women." Contemporary Voice of Dalit 13, no. 1 (April 15, 2021): 95–104. http://dx.doi.org/10.1177/2455328x211003366.
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Social inequality lies in certain features of all human societies. Predominantly in most of the countries, men enjoy authority, power and rights over resources. On the other hand, by empowerment we mean, to a large extent, the increase of women’s relative access to economic opportunities and resources. The anthropological study of economic organization is a focal point for discovering the relationship between material and non-material aspects of the environmental resources and human behaviour as well as the social system within which it is exchanged and distributed as cultural goods and services. In India, tribal people are found to be dwelling in the hills and forest-covered regions. Their livelihood and traditional economic organization is intimately associated with multifarious natural and environmental resources. In tribal societies, womenfolk play a very crucial role. In this context, environmental resources related to traditional economic organization have generated a scope of income for them, and it can generate a wider potential for their economic self-dependence. The present study has been done on the Karbi tribal group, of Karbi Anglong, Assam, to analyse the significance of environmental resources in the empowerment of women.
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Oláh, Judit, Attila Lehotzky, Sándor Szunyogh, Tibor Szénási, Ferenc Orosz, and Judit Ovádi. "Microtubule-Associated Proteins with Regulatory Functions by Day and Pathological Potency at Night." Cells 9, no. 2 (February 4, 2020): 357. http://dx.doi.org/10.3390/cells9020357.
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The sensing, integrating, and coordinating features of the eukaryotic cells are achieved by the complex ultrastructural arrays and multifarious functions of the cytoskeleton, including the microtubule network. Microtubules play crucial roles achieved by their decoration with proteins/enzymes as well as by posttranslational modifications. This review focuses on the Tubulin Polymerization Promoting Protein (TPPP/p25), a new microtubule associated protein, on its “regulatory functions by day and pathological functions at night”. Physiologically, the moonlighting TPPP/p25 modulates the dynamics and stability of the microtubule network by bundling microtubules and enhancing the tubulin acetylation due to the inhibition of tubulin deacetylases. The optimal endogenous TPPP/p25 level is crucial for its physiological functions, to the differentiation of oligodendrocytes, which are the major constituents of the myelin sheath. Pathologically, TPPP/p25 forms toxic oligomers/aggregates with α-synuclein in neurons and oligodendrocytes in Parkinson’s disease and Multiple System Atrophy, respectively; and their complex is a potential therapeutic drug target. TPPP/p25-derived microtubule hyperacetylation counteracts uncontrolled cell division. All these issues reveal the anti-mitotic and α-synuclein aggregation-promoting potency of TPPP/p25, consistent with the finding that Parkinson’s disease patients have reduced risk for certain cancers.
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Pandeeswari, D., A. Hariharasudan, and Nishad Nawaz. "intertextualistic phenomenon in preeti shenoy's life is what you make it, it happens for a reason and a hundred little flames." Linguistics and Culture Review 5, S1 (July 8, 2021): 70–82. http://dx.doi.org/10.21744/lingcure.v5ns1.1313.
Full textAbstract:
Postmodern intertextuality abbreviates the relation between the texts that has related to incidents, quotes, allusions, translation and so on. The aim of the study accolades on the postmodern tendency of intertextuality in Preeti Shenoy’s selected texts, Life is What You Make It, It Happens for a Reason and A Hundred Little Flames. Preeti Shenoy is a multifarious postmodern writer. The term intertextuality has linked with other texts. The features of intertextuality are quotation, scenes, characters, narration, allusion etc. The notable theorists of intertextuality are Julia Kristeva, Roland Barthes and Mikhail Bakhtin, and the present study has adopted the intertextual concepts from the considered theorists. The methodology of the study splits into four intertextual concepts -- description of a word, different circumstances link, language and dialogue. The first two concepts, proposed by Julia Kristeva, are description of a word and different circumstances link. Roland Barthes has proposed the intertextual concepts of language and dialogue. Mikhail Bakhtin also has proposed the intertextual concept of language. These intertextual concepts are adopted in the present study, and the authors have investigated the intertextual elements in the select texts of Shenoy.