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Journal articles on the topic 'Databaserad design'
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Yang, Xiao Min. "Design on Engineering Database of Bridge Seismic CAD System." Advanced Materials Research 998-999 (July 2014): 962–65. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.962.
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Engineering database was the core of Bridge Seismic CAD System. It was a new engineering database for bridge seismic design based on relation database and data characteristic of bridge seismic design. The engineering databasewas suitable for storage and managing data of bridge seismic design, it was also created condition for data storage andmanagement of Bridge Seismic CAD System.
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Bahat Nauli, Sukarno, and Bosar Panjaitan. "DATABASE DESIGN FOR COSPLAY MAKING SERVICE OUTLET SELECTION RECOMMENDATION SYSTEMS." International Journal of Advanced Research 9, no. 03 (March 31, 2021): 803–10. http://dx.doi.org/10.21474/ijar01/12645.
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This research is a type of action research. Aims to design a database for a costume ordering service outlet recommendation system. The application is built using the flutter framework as the user interface, the PHP language as a data processor that is sent from the application and MySQL as the database.A recommendation system is a system that is able to identify and provide high potential content selected by users based on filtering information that takes preferences from user behavior and history.The final result of the database design shows that the database design consists of 5 tables, namely the User Table, the Orderuser Table, the Outlet Table, the Rating Table, and the Review Table, as well as the Web-based Cosplay Making Service Outlet Selection Recommendation System.
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Büscher, Alexander, Rolf Radespiel, and Thomas Streit. "Modelling and design of wing tip devices at various flight conditions using a databased aerodynamic prediction tool." Aerospace Science and Technology 10, no. 8 (December 2006): 668–78. http://dx.doi.org/10.1016/j.ast.2006.03.001.
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Gralla, Phil, Iwona Piotrowska-Kurczewski, Daniel Rippel, Michael Lütjen, and Peter Maaß. "Inverting Prediction Models in Micro Production for Process Design." MATEC Web of Conferences 190 (2018): 15007. http://dx.doi.org/10.1051/matecconf/201819015007.
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Databased prediction models are used to estimate a possible outcome for previously unknown production parameters. These forward models enable to test new production designs and parameters virtually before applying them in the real world. Cause-effect networks are one way to generate such a prediction model. Multiple inputs and stages are being connected to one large prediction model. The functional behaviour and correlation of inputs as well as outputs is obtained through data based learning. In general, these models are non-linear and not invertible, especially for micro cold forming processes. While already being useful in process design, such models have their highest impact if inverted to find process parameters for a given output. Combining methods from the mathematical field of inverse problems as well as machine learning, a generalized inverse can be approximated. This allows finding process parameters for a given output without inverting the model directly but still using inherit information of the forward model. In this work, Tikhonov functionals are used to perform a parameter identification. The classical approach is altered by changing the discrepancy term to incorporate tolerances. Thereby, small deviations of a certain pattern are being neglected and the parameter finding process is being stabilized. In addition, different types of regularization are taken into consideration. Besides theoretical aspects of this method, examples are provided to demonstrate advantages and boundaries of an application for the process design in micro cold forming processes.
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Budiawan, Heri, Hikmat Permana, and Etika Emaliyawati. "FAKTOR RISIKO HIPOGLIKEMIA PADA DIABETES MELLITUS: LITERATURE RIVIEW." Healthcare Nursing Journal 2, no. 2 (July 27, 2020): 20–29. http://dx.doi.org/10.35568/healthcare.v2i2.688.
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Pendahuluan : Identifikasi faktor-faktor yang berhubungan dengan kejadian hipoglikemia penting dilakukan untuk mengetahui faktor resiko kejadian hipoglikemia, sehingga dapat digunakan sebagai dasar acuan pencegahan hipoglikemia berat dan hipoglikemia berulang. Objektif : Bertujuan untuk melakukan Literature review mengenai faktor-faktor yang berhubungan dengan kejadian hipoglikemia pada pasien diabetes mellitus. Metode : Metode penelusuran sumber data pada Literature review ini yaitu melakukan penulusuran database terdiri dari Google Scholar, Pubmed, Ebsco dengan kata kunci yang digunakan untuk pencarian pada databased Internasioanal yang pertama yaitu “Diabetes mellitus” AND “Risk factor hypoglycemia” “OR” Predictor hypoglycemia” Sedangkan pada databased Nasional menggunakan kata kunci yang pertama yaitu “Diabetes Mellitus “ dan” Faktor resiko hipoglikemia.”. Artikel diseleksi berdasarkan kriteria inklusi dan melakukan critical apraisel pada setiap artikel. Hasil : Berdasarkan hasil pencarian ditetapkan 8 artikel dengan design Kuantitatif publikasi 10 tahun terakhir (2009-2019). Faktor resiko yang berkaitan dengan kejadian hipoglikemia pada pasien diabetes mellitus yaitu terapi insulin, sulfolinurea, dan terapi kombinasi merupakan prediktor kuat terjadinya hipoglikemia, namun ada beberapa faktor lain yang berkaitan dengan kejadian hipoglikemia diantaranya nilai HbA1c, BMI, usia, jenis kealmin, pekerjaan, tingkat pendidikan, lama menderita diabetes mellitus, penyakit penyerta (penyakit ginjal kronis), dukungan keluarga, dan gaya hidup (konsumsi alcohol). Kesimpulan: Faktor resiko kejadian hipoglikemia pada pasien diabetes mellitus berkaitan dengan faktor medikasi (pemberian insulin, sulfolinurea, terapi kombinasi) dan faktor demografi pasien, oleh karena itu pengkajian resiko hipoglikemia pada pasien diabetes mellitus penting untuk diketahui, sehingga dapat berpotensi mencegah kejadian atau menurunkan kejadian hipoglikemi dan dapat meningkatkan kualitas hidup pasien diabetes mellitus
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Ayumida, Surtika, Muhamad Tabrani, Fransisca Natalia, and Kurnia Abdurrahman Hariri. "APLIKASI PROPAS (PROGRAM PENGARSIPAN SURAT) PADA KANTOR DESA CIHAMBULU-SUBANG." Jurnal Interkom: Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi 14, no. 3 (May 4, 2021): 4–11. http://dx.doi.org/10.35969/interkom.v14i3.72.
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AbstractThe process of archiving mails at the Cihambulu Village office the writing is still conventional. thereare some deficiency including the process of writing that is not neat, archiving still using the ledger.Therefore required a program that can solving the problem, so the problems that occur at thisCihambulu Village office can be resolved. The concept of designing this system refers to the activitiesof data processing incoming mail, data processing outgoing mail, disposition making, to themanufacture of incoming mail reports and outgoing mail. some stages in the development or designof this program are software requirements analysis, program design, program code generation,program testing. The making this program using JAVA programming language, MySQL as databaseand windows 7 as operating system. Research methods used in the design of this system is the methodof interviewing, observation, and literature study. While the purpose of designing this system is toproduce a mail archiving program so that it can assist employees in data processing incoming mail,data processing outgoing mail, disposition making, making reports incoming mails and outgoingmail.
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Nehler, Therese. "A Systematic Literature Review of Methods for Improved Utilisation of the Non-Energy Benefits of Industrial Energy Efficiency." Energies 11, no. 12 (November 22, 2018): 3241. http://dx.doi.org/10.3390/en11123241.
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Improvements in industrial energy efficiency demonstrated various additional effects beyond pure energy savings and energy cost savings. Observed on many levels, these additional effects, often denoted as non-energy benefits, constitute a diverse collection, for instance, effects related to firms’ production or improvements in the work environment and the external environment. Previous studies showed the potential of including quantified and monetised non-energy benefits in energy efficiency investments. However, there seems to be a lack of methodological overview, including all the steps from observation to monetisation and inclusion in investments. This study systematically reviews the academic literature on non-energy benefits relating to methods for observation, measuring, quantification, and monetisation of the benefits. The most commonly applied research design was a case study approach, in which data on non-energy benefits were collected by conducting interviews. Furthermore, the primary methods used to enable quantification and monetisation of observed non-energy benefits were based on classifications, indexes in relation to the energy savings, or frameworks. Calculation methods, databased tools, classification frameworks, and ranking were applied to evaluate the benefits’ potential in relation to energy efficiency investments. Based on a synthesis of the review findings, this article contributes a novel scheme for improved utilisation of the non-energy benefits of industrial energy efficiency.
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Blitz, Rogério, Michael Storck, Bernhard T. Baune, Martin Dugas, and Nils Opel. "Design and Implementation of an Informatics Infrastructure for Standardized Data Acquisition, Transfer, Storage, and Export in Psychiatric Clinical Routine: Feasibility Study." JMIR Mental Health 8, no. 6 (June 9, 2021): e26681. http://dx.doi.org/10.2196/26681.
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Background Empirically driven personalized diagnostic applications and treatment stratification is widely perceived as a major hallmark in psychiatry. However, databased personalized decision making requires standardized data acquisition and data access, which are currently absent in psychiatric clinical routine. Objective Here, we describe the informatics infrastructure implemented at the psychiatric Münster University Hospital, which allows standardized acquisition, transfer, storage, and export of clinical data for future real-time predictive modelling in psychiatric routine. Methods We designed and implemented a technical architecture that includes an extension of the electronic health record (EHR) via scalable standardized data collection and data transfer between EHRs and research databases, thus allowing the pooling of EHRs and research data in a unified database and technical solutions for the visual presentation of collected data and analyses results in the EHR. The Single-source Metadata ARchitecture Transformation (SMA:T) was used as the software architecture. SMA:T is an extension of the EHR system and uses module-driven engineering to generate standardized applications and interfaces. The operational data model was used as the standard. Standardized data were entered on iPads via the Mobile Patient Survey (MoPat) and the web application Mopat@home, and the standardized transmission, processing, display, and export of data were realized via SMA:T. Results The technical feasibility of the informatics infrastructure was demonstrated in the course of this study. We created 19 standardized documentation forms with 241 items. For 317 patients, 6451 instances were automatically transferred to the EHR system without errors. Moreover, 96,323 instances were automatically transferred from the EHR system to the research database for further analyses. Conclusions In this study, we present the successful implementation of the informatics infrastructure enabling standardized data acquisition and data access for future real-time predictive modelling in clinical routine in psychiatry. The technical solution presented here might guide similar initiatives at other sites and thus help to pave the way toward future application of predictive models in psychiatric clinical routine.
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Larasati, Anastasia Diah, Aditya Firman Nugroho, and Maria Marlina Tei. "Self Care Management Activities to Improve Psychological Serenity of Cancer Patients." Jurnal Keperawatan Jiwa 8, no. 3 (July 31, 2020): 337. http://dx.doi.org/10.26714/jkj.8.3.2020.337-352.
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Cancer patients need intensive psychological assistance when undergoing the process of cancer treatment. Nurses have a duty to provide holistic nursing care, namely by handling psychological serenity in cancer patients. The purpose of making this study is to provide scientific information to nurses related to self care management activities that can be educated to patients in order to provide psychological calm while undergoing treatment independently. The design used was a literature review study, using various databased CINAHL, PubMed, Science Direct, Google Schoolar, and Medline. Searching for articles was carried out by collecting themes about Self Care Management, Nursing Activities and Psychological Serenity of cancer patients. The criterion for inclusion in the search for literature sources is the year the article was published, starting from 2010 to 2020, in English, and full article. Search keywords are self care management, nursing activities, self activities, self care, psychological serenity, and psychological problems. A total of 25 articles were analyzed and produced 6 themes, including sports, self-management through spiritual activities, shared care with health practitioners or fellow cancer survivors, implementing positive self talk, listening to instrumental music therapy, and doing art making and art therapy. The application of appropriate innovation selfcare management to the psychological symptoms of cancer patients can also help improve the Quality of Life of cancer patients.
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Armaghani, Danial Jahed, Panagiotis G. Asteris, Seyed Alireza Fatemi, Mahdi Hasanipanah, Reza Tarinejad, Ahmad Safuan A. Rashid, and Van Van Huynh. "On the Use of Neuro-Swarm System to Forecast the Pile Settlement." Applied Sciences 10, no. 6 (March 11, 2020): 1904. http://dx.doi.org/10.3390/app10061904.
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In civil engineering applications, piles (deep foundations) are pushed into the ground in order to perform as steady support of structures. As these type of foundations are able to carry a huge amount of load, they should be carefully designed in terms of their settlement. Therefore, the control and estimation of settlement is a significant issue in pilling design and construction. The objective of the present study is to introduce a modeling process of a hybrid intelligence system namely neural network optimized by particle swarm optimization (neuro-swarm) for estimation of pile settlement. To do that, properties results of several piles socketed into rock mass together with their settlements were considered as established databased to propose neuro-swarm model. Then, several sensitivity analyses were carried out to determine the most influential particle swarm optimization parameters for pile settlement prediction. Eventually, five neuro-swarm models were constructed to understand the behavior of this hybrid model on them in pile settlement prediction. As a result, according to results of five performance indices, dataset number 4 showed the highest prediction capacity among all five datasets. The coefficient of determination (R2) and system error values of (0.851 and 0.079) and (0.892 and 0.099) were obtained respectively for train and test stages of the best neuro-swarm model which reveal the capability level of this hybrid model in predicting pile settlement. The modeling process introduced in this study can be useful for the researchers who are interested to work on the same hybrid technique.
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Tsang, Carmen, Azeem Majeed, and Paul Aylin. "Consultations with General Practitioners on Patient Safety Measures Based on Routinely Collected Data in Primary Care." JRSM Short Reports 3, no. 1 (January 2012): 1–9. http://dx.doi.org/10.1258/shorts.2011.011104.
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Objectives To gauge the opinions of doctors working, or interested, in general practice on monitoring patient safety using administrative data. The findings will inform the development of routinely collected databased patient safety indicators in general practice and elsewhere in primary care. Design Non-systematic participant recruitment, using personal contacts and colleagues’ recommendations. Setting Face-to-face consultations at participants’ places of work, between June 2010 and February 2011. Participants Four general practitioners (GPs) and a final year medical student. The four clinicians had between eight to 34 years of clinical practice experience, and held non-clinical positions in addition to their clinical roles. Main outcome measures Views on safety issues and improvement priorities, measurement methods, uses of administrative data, role of administrative data in patient safety and experiences of quality and safety initiatives. Results Medication and communication were the most commonly identified areas of patient safety concern. Perceived safety barriers included incident-reporting reluctance, inadequate medical education and low computer competency. Data access, financial constraints, policy changes and technology handicaps posed challenges to data use. Suggested safety improvements included better communication between providers and local partnerships between GPs. Conclusions The views of GPs and other primary care staff are pivotal to decisions on the future of English primary care and the health system. Broad views of general practice safety issues were shown, with possible reasons for patient harm and quality and safety improvement obstacles. There was general consensus on areas requiring urgent attention and strategies to enhance data use for safety monitoring.
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Safirin Karis, Mohd, Nursabillilah Mohd Ali, Muhammad Izzuddin Azahar, Shafrizal Nazreen Shaari, Nurasmiza Selamat, Wira Hidayat Mohd Saad, Amar Faiz Zainal Abidin, Kamaru Adzha Kadiran, and Zairi Ismael Rizman. "Warning Sign Analysis of Traffic Sign Data-Set Using Supervised Spiking Neuron Technique." International Journal of Engineering & Technology 7, no. 3.14 (July 25, 2018): 227. http://dx.doi.org/10.14419/ijet.v7i3.14.16898.
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In this paper, two types of conditions have been applied to analyze the performance of SNN towards usable traffic sign, which are hidden region and rotational effect. There are 20 warning traffic signs being focused on where there are regularly seen around Malacca area. These traffic sign needed to be embedded in this system as a databased to counter the output for mean error and recognition process for both conditions applied. Early hypothesis was design as the mean error and recognition process will degraded its performance as more intrusion get introduced in the system. For hidden region, the values show a critically rising error value at 62.5% = 0.123. While for mean error rotational effect, the values show an increasing abruptly for error value between 80 ̊ to 90 ̊ with 0.087% to 0.130%. For recognition process at 6.25% hidden region, 100% of images are correctly matchup to its own image. At 50% of hidden region, there is only 10% of image that able to be recognize while at 56.25% and 62.5% are leaving to outperform. At 10 ̊ rotation, 100% of images are perfectly recognized to its own image. At 60%, there is 30% of image able to recognize leaving others at 70%, 80% and 90% degrees rotation of images were outperformed. In view of element occasion driven handling, they open up new skylines for creating models with a colossal sum limit of recollecting and a solid capacity to quick adjustment. SNNs include another component, the transient hub, to the representation limit and the handling capacities of neural systems.
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Costello, Ashley, Cian Hehir, Drona Sharma, Owen Doody, and Dervla Kelly. "Management of psychotropic medications in adults with intellectual disability: a scoping review protocol." HRB Open Research 4 (March 22, 2021): 30. http://dx.doi.org/10.12688/hrbopenres.13170.1.
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Introduction: Psychotropic medications are commonly prescribed among adults with intellectual disability (ID), often in the absence of a psychiatric diagnosis. As such, there is great disparity between the estimated prevalence of mental illness and the rates of psychotropic medication use amongst people with ID. ‘Off-label’ use of these medications may account for much of this discrepancy, in particular their use in the management of challenging behaviour. This has come under scrutiny due to the myriad of side effects and the deficiency of high-quality data supporting their use for this indication. Understanding the causes and justifications for such disparity is essential in discerning the efficacy of current prescription practice. Objective: To explore the existing evidence base regarding the prescription and management of psychotropic medications in adults with ID. The aim will be achieved through identifying the psychotropic medications commonly prescribed, the underlying rationale(s) for their prescription and the evidence available that demonstrates their appropriateness and effectiveness. Additionally, the paper will seek to evaluate the availability of any existing guidance that informs the management of these medications, and the evidence and outcomes of psychotropic medication dose reduction and/or cessation interventions. Inclusion criteria: This review will consider studies that focus on the use of psychotropic medications amongst patients with ID. Methods: Research studies (qualitative, quantitative and mixed design) and Grey Literature (English) will be included. The search will be conducted without time restrictions. Databases will include: Ovid MEDLINE, Embase, CINAHL, JBI Evidence Synthesis, Cochrane Central Register of Controlled Trials, Cochrane Databased of Systematic Reviews, PsycINFO and Scopus. A three-step search strategy will be followed, with results screened by two independent reviewers. Data will be extracted independently by two reviewers using a data extraction tool with results mapped and presented using a narrative form supported by tables and diagrams.
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Aqif, Tanzeela, and Abdul Wahab. "Developing an understanding of the determinants, disclosures, and outcomes of CSR practices – a focus on developed and developing countries: a past review of 10 years." Journal of Global Responsibility 12, no. 3 (August 16, 2021): 289–316. http://dx.doi.org/10.1108/jgr-03-2021-0032.
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Purpose The increased awareness among consumers and strong competition have forced companies to put extra efforts and fulfill their social responsibility along with earning profits. The research aims to review corporate social responsibility (CSR)-related literature specifically determinants, outcomes and disclosure of CSR while adapting a comparative approach for developing and developed countries. Design/methodology/approach Based on theoretical frameworks of CSR, the authors have reviewed past studies conducted in past 10 years. While using keywords and synonyms, the databases such as JSTOR, Emerald, SpringerLink and ScienceDirect were used for searching impact factor and Scopus journals. Thematic analysis has been used as a method in the paper while identifying the key themes in study and presented them separately. Only those articles have been included which have key words in abstract. The review has been done while using logical process to improve inter-rater reliability. The key databased have been used to cover articles from multiple and diverse domains. The authors studied the key themes of literature found and identified the gaps. The paper has also incorporated the comments of authors who conducted credible studies. Findings It has been found that there are different determinants which lead the companies to involve in CSR practices in developing and developed countries. It has also been found that consumers are more aware about CSR in developed countries which effects the CSR decisions by firms. There is lack of literature available in developing states and researchers have been focused to conduct studies mainly developed countries such as in Europe and USA. Mostly the CSR behavior of companies has been linked with their financial and reputational benefits in empirical studies. There is large gap in literature on CSR involvement in small companies. The authors have developed and presented model which provides comparison of determinants leading toward CSR involvement by companies in developed and developing countries. Another framework has been developed which summarized all the factors which force the company to take part in CSR activities. Practical implications The study has made significant contribution toward research field and summarized the determinants based on social and economic factors of countries. The study also presented the comparison between CSR in developing and developed country which is valuable contribution by the authors. The study has also found lack of progress in theory development in this area which needs further attention by researchers. The authors have developed a model and framework which will contribute in field of CSR. Originality/value This is the review paper which provides integrated view of literature regarding determinants, outcomes and disclosure of CSR in developing countries while using a comparative approach.
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SAPTADI, DARMAWAN, R. R. SRI HARTATI, ASEP SETIAWAN, BAMBANG HELIYANTO, and SUDARSONO SUDARSONO. "PENGEMBANGAN MARKA SIMPLE SEQUENCE REPEAT UNTUK Jatropha spp." Jurnal Penelitian Tanaman Industri 17, no. 4 (June 19, 2020): 140. http://dx.doi.org/10.21082/jlittri.v17n4.2011.140-149.
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<p>ABSTRAK</p><p>Pemuliaan tanaman jarak pagar (Jatropha curcas L.) untukmenghasilkan varietas berdaya hasil dan berkadar minyak tinggi perludilakukan. Penggunaan marka molekuler dapat membantu mempercepattercapainya tujuan pemuliaan tanaman jarak pagar. Marka simple sequencerepeat (SSR) merupakan marka ko-dominan yang efektif untuk mendu-kung program pemuliaan tanaman, tetapi penerapannya pada jarak pagarmasih terbatas. Penelitian yang dilakukan bertujuan untuk : (i) merancangprimer spesifik SSR menggunakan aksesi DNA jarak pagar yang tersediadi GenBank DNA database dan (ii) mengevaluasi efektivitas pasanganprimer yang dirancang untuk menghasilkan marka SSR yang polimorfikuntuk jarak pagar dan J. multifida. Dua puluh delapan pasang primerspesifik SSR telah berhasil dirancang menggunakan aksesi DNA asal jarakpagar yang ada di GenBank DNA database. DNA genomik jarak pagar danJ. multifida yang diisolasi dapat digunakan sebagai templat untukamplifikasi PCR. Dari 28 pasang primer yang dikembangkan, semuanyamampu menghasilkan marka SSR dari genom jarak pagar dan hanya 19pasang primer yang menghasilkan marka SSR dari genom J. multifida.Dari 19 pasangan primer spesifik SSR yang dievaluasi mampu dihasilkan44 alel dengan ukuran produk amplifikasi berkisar antara 100-360 bp.Sebanyak 35 alel (79,5%) yang diamati merupakan alel yang polimorfik.Marka SSR yang didapatkan tidak polimorfik intra-aksesi jarak pagar atauintra-aksesi J. multifida tetapi polimorfik untuk inter-aksesi kedua spesies.Karena marka SSR yang dihasilkan bersifat polimorfik untuk aksesi jarakpagar dengan aksesi J. multifida maka dapat digunakan sebagai markauntuk mendeteksi hasil persilangan F 1 inter-spesies J. curcas x J. multifida.</p><p>Kata kunci : Jatropha curcas L., jarak pagar, J. multifida, DNA berulang,rancangan primer</p><p>ABSTRACT</p><p>Development of Simple Sequence Repeat Markers forJatropha spp.</p><p>Breeding of physic nut (Jatropha curcas L.) to obtain new varietiesthat are high in yield and oil content needs to be conducted. Molecularmarker could be used to assist breeding of physic nut (J. curcas). Simplesequence repeat (SSR) marker is a co-dominant marker and theoretically itcould be used to support physic nut breeding program. However, onlylimited information has been available regarding molecular analysis ofphysic nut. The objectives of this research were: (i) to design SSR specificprimer based on DNA sequences available in the GenBank DNA databaseand (ii) to evaluate effectiveness of the primer pairs to produce polymor-phic SSR markers for J. curcas and J. multifida. Twenty eight primer pairswere designed and developed using physic nut DNA available in theGenBank DNA database. Total genomic DNA isolated from J. curcas andJ. multifida could be used as DNA templates for PCR amplification. Of the28 primer pairs developed in this research yielded SSR marker using J.curcas genomic DNA, while only 19 out of 28 pairs yielded SSR markersusing J. multifida genomic DNA. As many as 44 alleles with the size ofamplified products ranged from 100-360 bp were identified. Thirty fivealleles (79.5%) out of 44 identified ones were polymorphic. Results ofanalysis indicated that identified SSR markers generated using thedesigned primers were not polymorphic intra accession of J. curcas norintra-accession of J. multifida either. However, the generated SSR markerswere polymorphic for inter-accession of the two Jatropha species. Sincethe generated markers were only polymorphic for J. curcas and J.multifida, they could be used as markers for identifying interspecific F 1hybrids derived from crossing between J. curcas and J. multifida.</p><p>Key words: Jatropha curcas L., physic nut, J. multifida, DNA repeatsequence, primer design</p>
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"DESIGN OF MECHANISM CONSIDERING THE ASPECT OF FIELD DATABASED MODELLING." Journal of Xidian University 14, no. 9 (September 22, 2020). http://dx.doi.org/10.37896/jxu14.9/115.
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Apri Wenando, Febby, Dony Novaliendry, and Ahmaddul Hadi. "PERANCANGAN SISTEM PELAPORAN KEUANGAN SMK NEGERI 1 KECAMATAN LUAK BERBASIS JARINGAN." Voteteknika (Vocational Teknik Elektronika dan Informatika) 2, no. 2 (November 16, 2018). http://dx.doi.org/10.24036/voteteknika.v2i2.3305.
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Schoolasan organization needsasystemtosupport all activitiesboth academicorschoolmanagement. Fields of school management system are management of curriculum, studentmanagement, personnel management, financialmanagementandpreventivemanagement ofschool facilities and infrastructure. Financial managementisthe managementactions/financialadministration, including record keeping, payroll, implementation, accountabilityandreporting. Design payroll report system forSMANegeri 1X Koto Diatasuseful to support thesmooth running ofthe services thatthe payrollreportsystemwillbe betterorganizedinterms ofexpenditureandincome. Thissystem designusingMySQLfor Databaseand programming languagePHP.Design system of payrollSMANegeri 1X Koto Diatasimplementedtofacilitate theadministrative officerand theparties involved in thepayrollreport ofschool. In theservice ofprocessorreportwill befaster and more accuratebecause thecalculationis done automatically. Keywords: Systems, Payroll Report, Payroll Systems, SchoolsPayroll
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Okal, Harriette A., Felix K. Ngetich, and Jeremiah M. Okeyo. "Spatial Evaluation of Droughts Using Selected Satellite-based Indices in the Upper Tana River Watershed, Kenya." International Journal of Plant & Soil Science, October 1, 2019, 1–13. http://dx.doi.org/10.9734/ijpss/2019/v30i130164.
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Aims: To identify the most appropriate drought indices for the identification and monitoring of historical meteorological and agricultural drought incidences and to explore the spatial characteristics of these droughts.
Study design: GIS-based empirical research design.
Place and Duration of Study: Upper Tana River Watershed, Kenya drought analysis covering a period of 1981 to 2013.
Methodology: National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) provided raster maps for Normalized Difference Vegetation Index (NDVI) agricultural drought index, while GeoClim databased through Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) was used for retrieval of raster maps for Standardized Precipitation Index (SPI) meteorological drought index. ArcGIS version 10.3.1 facilitated image enhancement and correction for better visualization and interpretation.
Results: Agricultural drought years were in 1983, 1987, 1993, 1996, 2000, 2004, 2005, 2008, and 2009 while meteorological drought years were in 1983, 1984, 1992, 1996, 1999, 2002, 2003, and 2011.
Conclusion: Meteorological drought triggered events of agricultural drought. Both droughts showed a widespread pattern and were found to manifest at relatively same intervals during the study period.
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B.H., Yogeshwary, T. L. Purushottama, and M. Z. Kurian. "MBER Space Time Equalization assisted Multiuser Detection." International Journal of Electronics and Electical Engineering, July 2012, 47–50. http://dx.doi.org/10.47893/ijeee.2012.1010.
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A novel minimum bit-error rate (MBER) space–time-equalization (STE)-based multiuser detector (MUD) is proposed for multiple-receive-antenna-assisted space-division multiple-access systems. It is shown that the MBER-STE-aided MUD significantly outperforms the standard minimum mean-square error design in terms of the achievable bit-error rate (BER). Adaptive implementations of the MBER STE are considered, and both the block-databased and sample-by-sample adaptive MBER algorithms are proposed. The latter, referred to as the least BER (LBER) algorithm, is compared with the most popular adaptive algorithm, known as the least mean square (LMS) algorithm. It is shown that in case of binary phase-shift keying, the computational complexity of the LBER-STE is about half of that required by the classic LMS-STE. Our simulation results demonstrate that the MBER ST-DFE assisted MUD is more robust to channel estimation errors as well as to potential error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE assisted MUD.
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Poirier, Lindsay. "Classification as Catachresis: Double Binds of Representing Difference with Semiotic Infrastructure." Canadian Journal of Communication 44, no. 3 (September 17, 2019). http://dx.doi.org/10.22230/cjc.2019v44n3a3455.
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Background This article explores the results of a three-year ethnographic study of how semiotic infrastructures—or digital standards and frameworks such as taxonomies, schemas, and ontologies that encode the meaning of data—are designed. Analysis It examines debates over best practices in semiotic infrastructure design, such as how much complexity adopted languages should characterize versus how restrictive they should be. It also discusses political and pragmatic considerations that impact what and how information is represented in an information system.Conclusion and implications This article suggests that all databased representations are forms of data power, and that examining semiotic infrastructure design provides insight into how culturally informed conceptions of difference structure how we access knowledge about our social and material worlds.Contexte Cet article explore les résultats d’une étude ethnographique ayant duré trois ans sur la manière de concevoir les infrastructures sémiotiques, c’est-à-dire les normes et cadres numériques tels les taxonomies, schémas et ontologies qui donnent un sens aux données.Analyse L’article examine les débats sur les meilleures pratiques dans la conception des infrastructures sémiotiques, tels que le niveau de complexité qu’un langage adopté devrait démontrer par rapport à son caractère restrictif. Il rend compte aussi de considérations politiques et pragmatiques ayant un impact sur le choix d’informations représentées dans un système d’information et la manière de les représenter.Conclusion et implications Cet article suggère que toute représentation dans une base de données est une utilisation de données à des fins de pouvoir, et que l’examen de la manière dont les infrastructures sémiotiques sont conçues peut nous aider à mieux comprendre comment les notions de différence informées culturellement structurent la façon dont nous appréhendons les connaissances de nos univers sociaux et matériaux.
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Yin, Xueqiang, and Athreya Tao Chen. "A Survey on Service Level Components in Big-Cloud-IoT Systems with Hybrid Meta-heuristic Techniques." International Journal of Advanced Information and Communication Technology, July 5, 2020, 95–101. http://dx.doi.org/10.46532/ijaict-2020022.
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Big data is one such technology. When we receive huge volume of data, there will be high demand in processing the huge data. It can also be said challenging task in big data processing. The increases in IoT devices in the network system collect more data to be processed in centralized devices called cloud storage. Every big data is processed and stored in the cloud. To overcome the performance and latency issues in large data computation, big cloud processing system uses edge computing in it. One of the key components of IoT is edge computing. We combine big data with cloud and edge computing in this paper as hybrid edge computing system. In the edge computing system, huge number of IoT devices computes services in its nearby network edge. Data sharing and transmission between the various service components may affect performance of the system. The main aim of this research article is to reduce the delay in data transfer between the components. This optimization goal is achieved by new Hybrid Meta-heuristic optimization (HMeO) algorithm. New HMeO algorithm designed for IoT devices to deploy the service components. MHO model is design to optimize the process by selecting the edge computing with minimum latency. Our proposed HMeO algorithm is compared with existing genetic algorithm and ant colony algorithm. The result shows HMeO algorithm provides more performance and efficient in in-depth data analysing and locating the component in big databased cloud environment.
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Dobrowolska-Kulanová, M., M. Štefaňáková, and O. Orosová. "Effectiveness of the universal substance use prevention program on alcohol consumption among adults." European Journal of Public Health 29, Supplement_4 (November 1, 2019). http://dx.doi.org/10.1093/eurpub/ckz186.461.
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Abstract Background Universal substance use prevention program (PUNAV) is a 24-hour course primarily aimed at developing the competencies of future teachers and prevention trainers. One of the key strategies in the PUNAV is correcting the misperceptions and this way changing normative beliefs about risky behaviour, which, when overestimated, are a predictor of risky behaviour. Objective To explore whether the participation in PUNAV has an effect on alcohol use of future teachers and whether this relationship is mediated by descriptive normative belief regarding alcohol use while considering gender as a possible moderator of these processes. Methods The sample consisted of university students from Slovakia; n = 277, 78% women, Mage=22.23, SD = 2.12. The PUNAV effect was explored within an experimental design. The potential pre-test effect was rejected based on a comparison within the experimental groups and within the control groups (using Solomon model of four groups). The bootstrapping analysis was used to test for moderated mediation according to gender using SPSS Process macro and linear regressions. Results The results showed that participation in the PUNAV has a direct effect on alcohol consumption (AUDIT subscore) only among men (b=-1.88, 95%CI -2.9- -.8). An indirect effect through the descriptive normative beliefs about alcohol use (effect size: -.25, BootCI: -.46 - -.07) was found when the whole sample was taken into account. Participation in PUNAV was found to be related to normative beliefs about alcohol use (β=-.32, p<.001) and these were related to alcohol consumption (β=.20, p<.001). Conclusions Participation in the PUNAV, which aims primarily to develop the competencies of future teachers proved useful for prevention showing a significant effect with respect to their alcohol consumption. Acknowledgement: This work was supported by grant projects APVV-0253-11 and APVV-15-0662. Key messages Well-designed and databased prevention programs can affect risk behaviour among adult population. The importance of normative beliefs as a major strategy to achieve effectiveness of prevention programs has been constantly supported by empirical evidence.