Relevant bibliographies by topics / DCPRF

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Academic literature on the topic 'DCPRF'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "DCPRF"

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Cosci, Fiammetta, Andrea Svicher, Sara Romanazzo, Lucia Maggini, Francesco De Cesaris, Silvia Benemei, and Pierangelo Geppetti. "Criterion-related validity in a sample of migraine outpatients: the diagnostic criteria for psychosomatic research." CNS Spectrums 25, no. 4 (October 28, 2019): 545–51. http://dx.doi.org/10.1017/s1092852919001536.

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AbstractObjective.The Diagnostic Criteria for Psychosomatic Research (DCPR) are those of psychosomatic syndromes that did not find room in the classical taxonomy. More recently, the DCPR were updated, called DCPR-revised (DCPR-R). The present study was conducted to test the criterion-related validity of the DCPR-R.Methods.Two hundred consecutive subjects were enrolled at the Headache Center of Careggi University Hospital (Italy): 100 subjects had a diagnosis of chronic migraine (CM) and 100 had a diagnosis of episodic migraine (EM). Participants received a clinical assessment, which included the DCPR-revised Semi-Structured Interview (DCPR-R SSI), the Structured Clinical Interview for DSM-5 (SCID-5), and the psychosocial index (PSI).Results.Forty-seven subjects (23.5%) had at least one DSM-5 diagnosis: major depressive disorder (8.5%; n = 17) and agoraphobia (7.5%; n = 15) were the most frequent. One hundred and ten subjects (55%) reported a DCPR-R diagnosis: allostatic overload (29%; n = 58) and type A behavior (10.5%; n = 21) were the most frequent. When the incremental validity of the DCPR system over the DSM system was tested using PSI subscales as the criterion variable, the DCPR-R increased up to 0.11–0.24 the amount of explained variance. Subjects with at least one DCPR-R diagnosis showed lower PSI well-being scores (p = .001), higher PSI stress scores (p < .001), and higher PSI psychological distress scores (p = .008) than subjects without a DCPR-R diagnosis.Conclusion. The DCPR-R showed a good criterion-related validity in migraine outpatients. Thus, they might be implemented, together with the DSM-5, in the assessment of migraine subjects.
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Battaglia, Yuri, Luigi Zerbinati, Elena Martino, Giulia Piazza, Sara Massarenti, Alda Storari, and Luigi Grassi. "Psychosocial Dimensions in Hemodialysis Patients on Kidney Transplant Waiting List: Preliminary Data." Transplantology 1, no. 2 (December 15, 2020): 123–34. http://dx.doi.org/10.3390/transplantology1020012.

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Although the donation rate for deceased and living kidneys has been increasing, the donor organ availability meets only the 30% of kidney needs in Italy. Consequently, hemodialysis patients stay for a long time, an average of 3.2 years, on a waiting list for a kidney transplant with consequent relevant psychological distress or even full-fledged psychiatric disorders, as diagnosed with traditional psychiatric nosological systems. Recent studies report, however, a higher prevalence of other psychosocial syndromes, as diagnosed by using the Diagnostic Criteria for Psychosomatic Research (DCPR) in medically ill and kidney transplant patients. Nevertheless, no data regarding DCPR prevalence are available in patients waitlisted for a renal transplant (WKTs). Thus, the primary aim of this study was to identify sub-threshold or undetected syndromes by using the DCPR and, secondly, to analyze its relationship with physical and psychological symptoms and daily-life problems in WKTs. A total of 30 consecutive WKTs were assessed using the DCPR Interview and the MINI International Neuropsychiatric Interview 6.0. The Edmonton Symptom Assessment System (ESAS) and the Canadian Problem Checklist were used to assess physical and psychological distress symptoms and daily-life problems. A total of 60% of patients met the criteria for at least one DCPR diagnosis; of them, 20% received one DCPR diagnosis (DCPR = 1), and 40% more than one (DCPR > 1), especially the irritability cluster (46.7%), Abnormal Illness Behavior (AIB) cluster (23.3%) and somatization cluster (23.3%). Fifteen patients met the criteria for an ICD diagnosis. Among patients without an ICD-10 diagnosis, 77.8% had at least one DCPR syndrome (p < 0.05). Higher scores on ESAS symptoms (i.e., tiredness, nausea, depression, anxiety, feeling of a lack of well-being and distress), ESAS-Physical, ESAS-Psychological, and ESAS-Total were found among DCPR cases than DCPR non-cases. In conclusion, a high prevalence of DCPR diagnoses was found in WKTs, including those who resulted to be ICD-10 non-cases. The joint use of DCPR and other screening tools (e.g., ESAS) should be evaluated in future research as part of a correct psychosocial assessment of WKTs.
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Zhang, Quanwei, Dazhong Li, Yue Fei, Jiakang Zhang, Yu Chen, and Fei Tong. "RDCPF: A Redundancy-Based Duty-Cycling Pipelined-Forwarding MAC for Linear Sensor Networks." Sensors 20, no. 19 (September 30, 2020): 5608. http://dx.doi.org/10.3390/s20195608.

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Existing duty-cycling and pipelined-forwarding (DCPF) protocols applied in battery-powered wireless sensor networks can significantly alleviate the sleep latency issue and save the energy of networks. However, when a DCPF protocol applies to a linear sensor network (LSN), it lacks the ability to handle the bottleneck issue called the energy-hole problem, which is mainly manifested due to the excessive energy consumption of nodes near the sink node. Without overcoming this issue, the lifespan of the network could be greatly reduced. To that end, this paper proposes a method of deploying redundant nodes in LSN, and a corresponding enhanced DCPF protocol called redundancy-based DCPF (RDCPF) to support the new topology of LSN. In RDCPF, the distribution of energy consumption of the whole network becomes much more even. RDCPF also brings improvements to the network in terms of network survival time, packet delivery latency, and energy efficiency, which have been shown through the extensive simulations in comparison with existing DCPF protocols.
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Yi, Lin, Tang Yuchen, Zhang Wentao, Guo Ruipeng, and Wu Wei. "A DC Estimation Method to Improve the Accuracy of DC Power Flow." Journal of Physics: Conference Series 2474, no. 1 (April 1, 2023): 012058. http://dx.doi.org/10.1088/1742-6596/2474/1/012058.

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Abstract The DC power flow(DCPF) method greatly simplifies the process of power flow calculation compared with the AC power flow(ACPF) method. However, when the DCPF method is applied in the larger power system, its calculation deviation will be larger due to a mass of total active power loss of the system. It will be difficult to meet the requirements of the actual applications in the grid. By using ACPF as the measured values, a DC state estimation method is proposed here to correct the parameter of the DCPF model. The case study in the actual grid proves that this method can significantly relieve the calculating deviation of the DCPF method. Meanwhile, the method can effectively improve the calculation speed and better meet the accuracy requirements of practical grid applications.
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Prophater, Lorna, Boeun Kim, Basia Belza, Sarah Cameron, and Sam Fazio. "Dementia Care Coaching: A Pilot to Evaluate Acceptability and Feasibility in Care Communities." Innovation in Aging 5, Supplement_1 (December 1, 2021): 847. http://dx.doi.org/10.1093/geroni/igab046.3098.

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Abstract The Alzheimer’s Association (AA) Dementia Care Practice Recommendations (DCPR) outline ten recommendations to achieve quality care with a person-centered focus. The AA has developed tools to assist care communities (CC) to evaluate their status within the recommendations by working with a trained coach to maximize adoption and implementation of these recommendations. The purpose of this pilot was to evaluate the acceptability and feasibility of pairing trained DCPR coaches with CC teams to implement the DCPR tools. Seven CCs were recruited and four received the DCPR overview and self-assessment. Of the four CC, one withdrew and did not receive the intervention. The remaining three were located in a suburban area, nonprofit, and with memory care units. Data was collected from November 2019 through March 2020. Nine CC staff participated with a mean age 35.8 years and had worked for 11.8 years. Baseline mean scores on the Organizational Readiness to Implementing Change (ORIC) scale were 4.6 for the commitment domain and 4.4 for the efficacy domain. Mean scores on the Nursing Home Employee Satisfaction Survey were high. Sixty-nine percent of CC participants were satisfied with their jobs (greater than 4). Findings from mid-project interviews with the coaches revealed difficulty with scheduling appointments, significant efforts needed to get the “right” people at the table and need for the DCPR tools to be more user-friendly. No post-intervention results were collected due to closing of the CCs to visitors due to COVID. The DCPR tools shows promise and are being evaluated in additional CCs.
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Phan, Van Chuan, Van Minh Truong, Thanh Trung Bui, Thi Phuc Nguyen, and Dieu Quynh Tran Ngọc. "Application of correlation pattern recognition technique for neutron– gamma discrimination in the EJ-301 liquid scintillation detector." Nuclear Science and Technology 8, no. 2 (September 1, 2021): 19–26. http://dx.doi.org/10.53747/jnst.v8i2.87.

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The ability to distinguish between neutrons and gamma-rays is important in the fast -neutron detection, especially when using the scintillation detector. A dual correlation pattern recognition (DCPR) method that was based on the correlation pattern recognition technique has been developed for classification of neutron/gamma events from a scintillation detector. In this study, an EJ-301 liquid scintillation (EJ301) detector was used to detect neutrons and gamma-rays from the 60Co and 252Cf sources; the EJ301 detector's pulses were digitized by a digital oscilloscope and its pulse-shape discriminant (PSD) parameters were calculated by the correlation pattern recognition(CPR) method with the reference neutron and gamma-ray pulses. The digital charge integration (DCI) method was also used as a reference-method for comparison with DCPR method. The figure-ofmerit (FOM) values which were calculated in the 50 ÷ 1100 keV electron equivalent (keVee) region showed that the DCPR method outperformed the DCI method. The FOMs of 50, 420 and 1000 keVee thresholds of DCPR method are 0.82 , 2.2 and 1.62, which are 1.55, 1.77, and 1.1 times greater than the DCI method, respectively.
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Fava, G. A., J. Guidi, P. Porcelli, C. Rafanelli, A. Bellomo, S. Grandi, L. Grassi, et al. "A cluster analysis-derived classification of psychological distress and illness behavior in the medically ill." Psychological Medicine 42, no. 2 (July 18, 2011): 401–7. http://dx.doi.org/10.1017/s0033291711001231.

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BackgroundThe classification of psychological distress and illness behavior in the setting of medical disease is still controversial. Current psychiatric nosology does not seem to cover the spectrum of disturbances. The aim of this investigation was to assess whether the joint use of DSM-IV categories and the Diagnostic Criteria for Psychosomatic Research (DCPR), that provide identification of syndromes related to somatization, abnormal illness behavior, irritable mood, type A behavior, demoralization and alexithymia, could yield subtyping of psychosocial variables in the medically ill.MethodA cross-sectional assessment using both DSM-IV and the DCPR was conducted in eight medical centers in the Italian Health System. Data were submitted to cluster analysis. Participants were consecutive medical out-patients and in-patients for whom a psychiatric consultation was requested. A total of 1700 subjects met eligibility criteria and 1560 agreed to participate.ResultsThree clusters were identified: non-specific psychological distress, irritability and affective disturbances with somatization.ConclusionsTwo-step cluster analysis revealed clusters that were found to occur across clinical settings. The findings indicate the need of expanding clinical assessment in the medically ill to include the various manifestations of somatization, illness behavior and subclinical distress encompassed by the DCPR.
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Zhang, Xiao Ying, Ning Ding, and Chen Li. "Applications of Homotopy Algorithm for Solving Optimal Power Flow of Power System." Applied Mechanics and Materials 494-495 (February 2014): 1627–30. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1627.

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This paper introduces an homotopy algorithm which has convergence stability to solve the alternating current optimal power flow problem. The complicated Alternating Current Power Flow (ACPF) can simplify as simple Direct Current Power Flow (DCPF). The homotopy participation factor is introduced into the linear DCPF to make DCPF convert back into ACPF gradually to realize Alternating Current Power Flow Homotopy method (ACPFH). The homotopy curves are generated to solve a series of nonlinear problems.The traditional method can not solve the unstable points,because the calculate process always turn up Jacobian matrix.But the Homotopy method can calculate all results. It is a superiority for Homotopy,and then can explore power system problem more entirety.This novel algorithm is different from Newton - Raphson method, because it isnt sensitive to the initial point selection and has the global convergence.The homotopy algorithm is applied to IEEE - 3, 9, 14, 30, 36, 57, 118 node testing systems for power flow optional calculation, the simulation results show that the novel algorithm can solve power flow problem better and its calculating speed is much faster than the traditional algorithm, it can calculate the optimal value more direct.
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Rao, Yunbo, Menghan Zhang, Zhanglin Cheng, Junmin Xue, Jiansu Pu, and Zairong Wang. "Semantic Point Cloud Segmentation Using Fast Deep Neural Network and DCRF." Sensors 21, no. 8 (April 13, 2021): 2731. http://dx.doi.org/10.3390/s21082731.

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Accurate segmentation of entity categories is the critical step for 3D scene understanding. This paper presents a fast deep neural network model with Dense Conditional Random Field (DCRF) as a post-processing method, which can perform accurate semantic segmentation for 3D point cloud scene. On this basis, a compact but flexible framework is introduced for performing segmentation to the semantics of point clouds concurrently, contribute to more precise segmentation. Moreover, based on semantics labels, a novel DCRF model is elaborated to refine the result of segmentation. Besides, without any sacrifice to accuracy, we apply optimization to the original data of the point cloud, allowing the network to handle fewer data. In the experiment, our proposed method is conducted comprehensively through four evaluation indicators, proving the superiority of our method.
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A. Basińska, Małgorzata, and Agnieszka Woźniewicz. "Diagnostic Criteria for Psychosomatic Research – revised version by Giovanni A. Fava and his research team." Psychiatria i Psychologia Kliniczna 21, no. 2 (July 30, 2021): 121–27. http://dx.doi.org/10.15557/pipk.2021.0013.

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Diagnostic Criteria for Psychosomatic Research (DCPR), developed by a team of Italian and American researchers at the end of the 20th century, was elaborated and then revised based on observations and studies conducted by clinicians. In this paper, we present their current version known as DCPR-R. This classification system departs from the functional/organic dichotomy of disorders. The new criteria allow for the assessment of the role of multiple emotional/behavioural dimensions and responses in the functioning of an affected person. The revised version has four diagnostic modules, i.e., stress, illness behaviour, psychological manifestation, and personality. The authors introduced an additional factor to describe life experiences that contribute to stress (allostatic overload). Illness behaviours include health anxiety, disease phobia, hypochondriasis, thanatophobia, illness denial, persistent somatisation, conversion, and anniversary reaction. Irritable mood, somatic symptoms secondary to a psychiatric disorder and demoralisation are psychological manifestations. Type A behaviour pattern and alexithymia are considered personalityrelated factors. The authors of DCPR-R proposed a certain number of criteria to be met in order to diagnose each of these syndromes. The system makes it possible to clearly determine the presence of a given syndrome, but it does not allow to assess its severity. Psychosomatic syndromes play an important role in the development and/or course of somatic diseases. Inclusion of these syndromes in clinical diagnosis has made it possible to expand the spectrum of information about patient’s functioning, and, once they are diagnosed, offer appropriate psychological assistance, which will translate into an improvement in the quality of life.
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Dissertations / Theses on the topic "DCPRF"

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Kuka, Mário. "Využití jazyka P4 k popisu akcelerovaného zařízení na ochranu před DoS útoky." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403162.

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This thesis describes the development of a networking device used to defend against (D)DoS attacks using P4 language. The main purpose was to design flexible device using P4 lan-guage based on already existing device, this would allow us to quickly react and respond to new more complex DDoS attacks. The design of the device dealt with the transfer of individual parts of the firmware into the P4 language. Subsequently, the entire device firmware was designed for hardware accelerators with FPGA technology. The firmware had been designed with respect to the limitations of current P4 language compilers. The device has been tested under laboratory conditions for functionality and performance. The device will be deployed in the network infrastructure of CESNET.
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DEEPANSHU. "EFFECT OF GEOGRID ORIENTATION FOR CONE PENETRATION RESISTANCE OF SAND USING NUMERICAL AND ANALYTICAL MODELLING." Thesis, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18297.

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In the present study, the problem of low resistance offered by the soil to penetration is solved to a great extent by reinforcing the soil withgeogrid. The results of the cone resistance vs penetration were observed to be dependent on the orientation of geogrids. The geogrids were reinforced at bottom of the container and depth of 5.5cm and 11cm in the horizontal direction. The cone resistance is determined atthe densities of 1.54 g/cc, 1.59 g/cc, and 1.65 g/cc respectively of soil. Nineexperimental data set valuesled us to the conclusion that the best cone resistance was offered at the maximum dry density and the water content being at optimum moisture content.When geogrids being reinforced at bottom of the container and a depth 11 cm of the soil layer, the cone resistance was observed to be 3.6 times higher than that obtained in the case when the soil was not reinforced.1.2 times higher cone resistance was observed than that when the geogrids are reinforced in three layers of the soil. The analytical results were analyzed with a numerical modeling program. The results were validated by performing numerical modeling against the field results. A dimensionless cone penetration resistance factor(DCPRF) led us to the validation of the numerical model. DCPRF relates the ratio of cone penetration resistance obtained in the analytical modeling with the numerical modeling. DCPRF converges to unity as the value of the factored load is increased. DCPRF in sand reinforced with geogrid has more importance than cone penetration alone observed in the literature.
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Conference papers on the topic "DCPRF"

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Ye, Jing, Yu Hu, and Xiaowei Li. "DCPUF." In FPGA'16: The 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2847263.2847312.

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"DCPerf 2016 Keynote." In 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2016. http://dx.doi.org/10.1109/icdcsw.2016.48.

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"DCPerf 2014 Committees." In 2014 IEEE 34th International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2014. http://dx.doi.org/10.1109/icdcsw.2014.44.

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"DCPerf 2012 Committees." In 2012 32nd International Conference on Distributed Computing Systems Workshops (ICDCS Workshops). IEEE, 2012. http://dx.doi.org/10.1109/icdcsw.2012.93.

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Chen, Da, JunMin Wu, and Shuai Gao. "SSFCN-DCRF." In ICVISP 2018: The 2nd International Conference on Vision, Image and Signal Processing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3271553.3271612.

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"DCPerf 203: Organizing Committee." In 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2013. http://dx.doi.org/10.1109/icdcsw.2013.79.

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"DCperf 2011 Committee Members." In 2011 31st International Conference on Distributed Computing Systems Workshops (ICDCS Workshops). IEEE, 2011. http://dx.doi.org/10.1109/icdcsw.2011.5.

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"DCPerf 2016 Workshop Organizers." In 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2016. http://dx.doi.org/10.1109/icdcsw.2016.44.

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"DCPerf 2013: Message from the Chairs." In 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2013. http://dx.doi.org/10.1109/icdcsw.2013.78.

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"Message from the DCPerf 2014 Workshop Organizers." In 2014 IEEE 34th International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2014. http://dx.doi.org/10.1109/icdcsw.2014.42.

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