Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Torque Density Improvement by Third Harmonic Injection in Five-Phase Induction Machine with Full Pitch Concentrated and Distributed Winding

This paper assess the improvement of torque density by third harmonic injection in five-phase induction machine with two types of windings, full pitch concentrated and distributed windings. A quasi-rectangular waveform of air-gap flux density involves a quasi-uniform distribution flux density which reduces saturations hence decreasing iron losses. Tow sequence planes $\mathrm {d}_{1_{-}}\mathrm {q}_{1}$ and $\mathrm {d}_{3_{-}}\mathrm {q}_{3}$, fundamental and third respectively, are used to modeling five-phase induction machines. The required air-gap flux waveform is quasi-rectangular when fundamental and third sequence direct axes are aligned. To ensure this alignment a suitable indirect flux oriented control is used. The assessment is conducted by simulation using MATLAB.
Impulsive Synchronization of Fractional-Order Chaotic Systems With Actuator Saturation and Control Gain Error

This paper investigates the impulsive synchronization scheme of fractional-order chaotic systems with actuator saturation and control gain error. Based on the theory of fractional order system and impulsive differential system, discontinuous Lyapunov stability and matrix inequality approach, some new sufficient conditions are derived to guarantee the impulsive synchronization of a general class of fractional order chaotic systems. It is worth mentioning that the actuator saturation and control gain error are discussed simultaneously, which is more rigorous and practical in real systems. Finally, some simulation results verify the correctness and effectiveness of the theoretical results.
Fourth-order Electrical Tunable Microstrip LC Cross-coupled Bandpass Filter

Electronically tunable/reconfigurable bandpass filters with varied passband are the key components for multi-band/mode radio systems. Cross-coupling topology is usually used to generate transmission zeros for improving the passband selectivity. In this paper, we propose and develop a novel fourth-order electrical tunable bandpass filters with cross coupled topology based on microstrip LC tunable resonators. Electrical coupling structure and magnetic coupling structure are designed to build the cross coupled topology. SMV 1405 varactor diode is used to tune the resonator. The effect of the parasitic resistance of the varactor diode to the insertion loss of the filter is studied. The filter is simulated and measured. The measurement shows that, a pair of transmission zeros are generated beside the passband due to the cross-coupling topology. The filter can be tuned with a central frequency range of 2 GHz to 2.45 GHz, −3 dB fractional bandwidth of 5.19% to 6.75%, and insertion loss of 3.15-6.85 dB. The maximum IIP3 is 28 dBm under 30 V bias, and the minimum IIP3 is 4.5 dBm under 0 V bias.
Exploring the Benefit and Sacrifice Factors of Virtual Reality Gameplay

Although Virtual reality (VR) entertainment is now relatively popular, the adoption of VR devices is still low. In this study, a framework based benefit and sacrifice factors was developed to understand players’ intention to use VR devices to play games. Online questionnaire items were developed and published to collect the responses from university students in Taiwan. The feedback of 152 inexperienced players and 150 experienced players were collected. The eleven hypotheses were tested by using SmartPLS, a structural equation modeling (SEM) tool. The analysis results show that the influences of the benefit factors (flow, spatial presence, and relaxation) on the adoption intention in two groups are consistent. All of the positive influences are supported. Moreover, visual fatigue had the strongest negative effects on flow and intention. Players who are opener to new technology are more possible to adopt VR devices. The findings can provide insights to VR device developers to design their VR devices/contents and marketing strategies.
Factors Predicting Functional Status in End Stage Renal Disease Older Adults Receiving Hemodialysis

Abstract Purpose: To examine factors predicting of functional status including symptom experiences, co-morbidity and social support in end stage renal disease older adults receiving hemodialysis. Design: A correlation predictive design. Methods: A total of 100 end stage renal disease older adults receiving hemodialysis were selected for this research by convenience sampling. The data were collected through questionnaires: the personal information, the modified symptom experiences assessment, the Charlson Comorbidity Index, the Multidimention scale of perceived social support, and the Thai-modified functional status questionnaire. Descriptive statistic and multiple regression analysis were used to analyze data. Main findings: The findings revealed that 68% and 32% of subjects displayed mild and moderate functional status, respectively. Symptom experiences, co-morbidity, and social support significantly predicted functional status in end stage renal disease older adults receiving hemodialysis and accounted for 31.8% of variance (p < .05). Social support was the best predictor to functional status (Beta = .286 p < .05) and symptom experience was the second predictor of functional status (Beta = - .252, p < .05). Conclusions and recommendations: Nurses should pay more attention to social support in order to manage the multiple concurrent hemodialysis symptom experiences and control co-morbidity which could enhance their functional status effectively. ปจจยทำนายภาวะการทำหนาทในผสงอายโรคไตเรอรงระยะสดทายทไดรบการฟอกเลอดดวยเครองไตเทยม บทคดยอ วตถประสงค: เพอศกษาอำนาจการทำนายของปจจยประสบการณการมอาการจากการฟอกเลอดดวยเครองไตเทยม ภาวะโรครวม และแรงสนบสนน ทางสงคมกบภาวะการทำหนาทในผสงอายโรคไตเรอรงระยะสดทายทไดรบการฟอกเลอดดวยเครองไตเทยม รปแบบการวจย: การวจยหาความสมพนธเชงทำนาย วธดำเนนการวจย: ผสงอายโรคไตเรอรงระยะสดทายทไดรบการฟอกเลอดดวยเครองไตเทยม จำนวน 100 ราย ไดดรบการคดเลอกเขาศกษาแบบสะดวกการเกบรวบรวมขอมล โดยใหกลมตวอยางตอบแบบสอบถามขอมลสวนบคคลแบบสอบถามประสบการณการมอาการจากการฟอกเลอดดวยเครองไตเทยม แบบสอบถามภาวะโรครวม แบบสอบถามการรบรแรงสนบสนนทางสงคม และแบบสอบถามภาวะการทำหนาท วเคราะหขอมลดวยสถตเชงพรรณนาและการวเคราะหการถดถอยพหคณ ผลการวจย: ผสงอายโรคไตเรอรงระยะสดทายทไดรบการฟอกเลอดดวยเครองไตเทยมมภาวะการทำหนาทในระดบนอยและปานกลาง รอยละ 68 และ รอยละ 32 ตามลำดบ ปจจยดานประสบการณการมอาการจากการฟอกเลอดดวยเครองไตเทยม ภาวะโรครวม และแรงสนบสนนทางสงคม สามารถรวมทำนายภาวะการทำหนาทไดรอยละ 31.8 โดยแรงสนบสนนทางสงคม (Beta = .286 p < .05) สามารถรวมทำนายภาวะการทำหนาทไดดทสด รองลงมา คอ ประสบการณการมอาการจากการฟอกเลอดดวยเครองไตเทยม (Beta = - .252, p < .05). สรปและขอเสนอแนะ: พยาบาลควรใหความสำคญกบการใชปจจยดานการสนบสนนทางสงคมในการจดการกบประสบการณมอาการทเกดขนพรอมกนหลายอาการ และควบคม โรครวม เพอการสงเสรมภาวะการทำหนาทของผสงอายโรคไตเรอรง ระยะสดทายทไดรบการฟอกเลอดดวยเครองไตเทยมใหดยงขนน คำสำคญ : ภาวะการทำหนาท ประสบการณการมอาการ ภาวะโรครวม แรงสนบสนน ทางสงคม โรคไตเรอรงระยะสดทาย
Interstitial Lung Disease-Complicated Anti-MDA5 Antibody in Clinically Amyopathic Dermatomyositis Patients: Report of Two Cases With Distinct Clinical Features

Two patients presented simultaneously to our hospital with distinct clinical features associated with the presence of anti-MDA5 antibodies: the first one was admitted for a skin rash resembling to a toxic epidermal necrosis (Lyell syndrome) and the second one presented with pulmonary manifestations attributed to a diffuse fibrosing interstitial pneumonitis on chest CT-scan. In addition to the skin lesions involving 40% of the body surface area, the first patient developed a rapid diffuse interstitial pneumonitis with respiratory distress justifying the initiation of a systemic immunosuppressive treatment. However, she died 3 weeks after her admission from mesenteric thrombosis associated with septic shock. The second patient respiratory condition worsened despite an intensive immunosuppressive treatment with high doses of intravenous methylprednisolone and cyclophosphamide and plasmapheresis, and required lung transplantation. Anti-MDA5 antibody titer declined and disappeared on anti-rejection treatment. These two cases underline the diagnostic conundrum and the therapeutic difficulties in patients with anti-MDA5 antibodies and clinically amyopathic dermatomyositis (CADM) or interstitial lung disease (ILD), who may undergo rapidly-progressive and fatal outcome. Presence of anti-MDA5 antibodies should always be suspected when confronted to CADM patients with cutaneous ulcerations or ILD to allow a rapid and adapted treatment initiation.
Damaged Insula Network Contributes to Depression in Parkinson’s Disease

Background Depression is common in patients with Parkinson’s disease (PD). Our previous studies suggest that depressed PD patients have altered insula structures. It is, however, still unknown whether the altered structures cause disruption of insula functional networks, further contributing to depression in PD. Methods In the present study, 17 depressed PD patients, 17 non-depressed PD patients, and 17 normal controls were enrolled. All subjects went through neurological and psychiatric clinical assessments. Resting-state functional magnetic resonance imaging and seed-based insula functional analyses were performed to examine the insula functional connectivity alterations in PD patients. Results We found that compared with normal controls, PD patients exhibited significantly decreased insula functional connectivity widely across the whole brain. Compared with non-depressed PD patients, depressed patients showed further decreased functional connectivity in the middle frontal gyrus and inferior parietal lobe. Furthermore, connectivity between the left anterior insula and middle frontal gyrus was positively correlated with the cognitive scale score. Conclusion These results suggest that insula networks were severely damaged in PD patients, and that the disrupted connection between the salience network and executive control network might contribute to depression in PD.
Sector Metalens for Sharp Focusing of Laser Light

In this paper we have investigated a 16-sector metalens fabricated in a thin film of amorphous silicon and consisting from a set of subwavelength binary diffractive gratings. The metalens converts linearly polarized incident light into an azimuthally polarized optical vortex and focuses it. Experimentally using scanning near-field optical microscope it was shown that the metalens forms an elliptical focal spot with diameters smaller than the diffraction limit: FWHMx = 0. 32λ and FWHMy = 0. 51λ. The experimental results are close to the results of numerical simulation obtained using FDTD-method FWHMx = 0. 37λ and FWHMy = 0. 49λ.
Hepcidin-to-Ferritin Ratio Is Decreased in Astrocytes With Extracellular Alpha-Synuclein and Iron Exposure

Astrocytes are the most abundant glial cells in the central nervous system (CNS). As indispensable elements of the neurovascular unit, they are involved in the inflammatory response and disease-associated processes. Alpha-synuclein (α-syn) is released into the extracellular space by neurons and can be internalized by adjacent astrocytes, which activates glial cells to induce neuroinflammation. We were interested in whether astrocyte-mediated neuroinflammation is modulated by intracellular iron status and extracellular α-syn. Our results showed that recombinant α-syn (1 μg/ml and 5 μg/ml) treatment for 24 h did not affect the expression of the iron transporters divalent metal transporter 1 (DMT1) and ferroportin 1 (FPN1), nor those of iron regulatory protein (IRP) 1 or IRP2. Several proinflammatory cytokines, including tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 exhibited up-regulated mRNA levels in 5 μg/ml α-syn-treated astrocytes. TNF-α release was increased, indicating that inflammatory responses were triggered in these cells. Pretreatment with the iron-overload reagent ferric ammonium citrate (FAC, 100 μmol/L) for 24 h had no effects on mRNA levels and release of proinflammatory cytokines. Inflammatory responses triggered by α-syn were not affected by iron overload. The iron chelator desferrioxamine (DFO, 100 μmol/L) exerted suppressive effects on TNF-α mRNA levels, although no change was observed for TNF-α release. Hepcidin mRNA levels were down-regulated significantly in astrocytes co-treated with FAC and α-syn, although independent treatment with either FAC or α-syn did not alter hepcidin levels. In contrast, hepcidin mRNA levels were up-regulated in DFO and α-syn co-treated cells. As expected, ferritin protein levels were up-regulated or down-regulated with FAC or DFO treatment, respectively. Following the up-regulation of ferritin mediated by α-syn, hepcidin-to-ferritin levels were indicative of modulatory effects in α-syn-treated astrocytes with altered iron status. Therefore, we propose that the hepcidin-to-ferritin ratio is indicative of a detrimental response in primary cultured astrocytes experiencing iron and extracellular α-syn.
La declaración GATHER para la presentación precisa y trasparente de los estudios sobre estimaciones de salud procedentes de múltiples fuentes de información y poblaciones

Correspondencia: Dr. Ferrán Catalá-López Departamento de Medicina Facultad de Medicina y Odontología Universidad de Valencia Avda. Blasco Ibáñez no 15 46010 Valencia ferran_catala@hotmail.com Cita sugerida: Catalá-López F, Pérez Andrés C. La Declaración GATHER para la presentación precisa y trasparente de los estudios sobre estimaciones de salud procedentes de múltiples fuentes de información y poblaciones Rev Esp Salud Pública. 2016;Vol. 90: 22 de agosto. e1-e3. La utilización de los indicadores de salud de la población puede servir para medir patrones epidemiológicos, valorar su estado de salud y la carga de las enfermedades, fijar prioridades sobre la asignación de recursos e identificar grupos poblacionales a los que deberían dirigirse las intervenciones y los programas de salud(1-6). Clásicamente, la esperanza de vida al nacer, la mortalidad por todas las causas, la mortalidad infantil, la mortalidad materna, la prevalencia e incidencia de enfermedad han sido algunos de los principales indicadores empleados para medir la salud de las poblaciones e incluso para definir su grado de desarrollo social. En las últimas décadas se han propuesto otras medidas del tipo de las expectativas de salud (health expectancies) como la esperanza de vida libre de discapacidad, o del tipo de los diferenciales de salud (health gaps) como son los años de vida ajustados por discapacidad, que miden de manera conjunta las consecuencias mortales y no mortales de las enfermedades, las lesiones y los factores de riesgo a nivel poblacional(7). Sin embargo, se reconoce que en numerosas ocasiones difícilmente se dispone de toda la información necesaria para generar las estimaciones más precisas y actualizadas por sexo, edad, espacio (geografía), tiempo (año) o problema de salud. Debido a las limitaciones de los propios datos, a menudo se utilizan diversas técnicas y modelos de simulación, más o menos complejos, que permiten establecer estimaciones integrando diversas fuentes de información (encuestas, estudios prospectivos, registros y sistemas de información) y asumiendo supuestos que no siempre se presentan con suficiente detalle. Para que las estimaciones obtenidas sean fiables y válidas para su correcta interpretación posterior y para la toma decisiones en políticas de salud pública, es necesaria la presentación clara, transparente y exacta de la información y de los métodos utilizados(8-10).
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification

While colorectal cancer (CRC) is third in prevalence and mortality among cancers in the United States, there is no effective method to screen the general public for CRC risk. In this study, to identify an effective mass screening method for CRC risk, we evaluated seven supervised machine learning algorithms: linear discriminant analysis, support vector machine, naive Bayes, decision tree, random forest, logistic regression, and artificial neural network. Models were trained and cross-tested with the National Health Interview Survey (NHIS) and the Prostate, Lung, Colorectal, Ovarian Cancer Screening (PLCO) datasets. Six imputation methods were used to handle missing data: mean, Gaussian, Lorentzian, one-hot encoding, Gaussian expectation-maximization, and listwise deletion. Among all of the model configurations and imputation method combinations, the artificial neural network with expectation-maximization imputation emerged as the best, having a concordance of 0.70 ± 0.02, sensitivity of 0.63 ± 0.06, and specificity of 0.82 ± 0.04. In stratifying CRC risk in the NHIS and PLCO datasets, only 2% of negative cases were misclassified as high risk and 6% of positive cases were misclassified as low risk. In modeling the CRC-free probability with Kaplan-Meier estimators, low-, medium-, and high CRC-risk groups have statistically-significant separation. Our results indicated that the trained artificial neural network can be used as an effective screening tool for early intervention and prevention of CRC in large populations.
Health behavior of young adult men and the association with body composition and physical fitness during military service

The prevalence of overweight and obesity among adolescents has increased worldwide at the population-level, reflecting inactive lifestyle and excessive energy intake. The comorbidities of obesity, e.g. impaired glucose tolerance and high blood pressure increase the risk for cardiovascular diseases. The first manifestation of cardiovascular diseases can be detected in young adulthood, and prevention should be focused to those at highest risk. This study was aimed to evaluate the changes in body weight and body composition, physical fitness and cardiometabolic risk factors, associated with physical exercise during military service. Furthermore, this study investigated the association of antenatal and lifestyle factors with the body composition and physical fitness among young men. The material of this study consisted of 1046 men (mean age 19.2 years) who began their compulsory military service in the Sodankylä Jaeger Brigade in 2005. The conscripts’ cardiometabolic risk factors, body weight, body composition, fitness, and lifestyle habits were evaluated at baseline and after 6–12 months military service. The data on the participants’ mothers’ antenatal and participants’ childhood period was available for 508 offsprings, who belonged to the 1986 Northern Finland Birth Cohort. During the military service the prevalence of metabolic syndrome decreased in the overall cohort from 6.1% to 3.6%, and the reduction was present among overweight and obese conscripts. The reduction in metabolic syndrome was associated with the reduction in waist circumference, weight loss and improvement in muscle fitness. Some lifestyle factors e.g. maternal smoking during pregnancy and conscripts’ smoking, alcohol consumption and binge drinking were associated with the conscripts’ body composition and fitness test results. Military service was especially beneficial for those reporting weekly binge drinking, who showed the greatest reduction in body weight and fat, and improvements in physical fitness and lifestyle habits. This study shows that unbeneficial lifestyle habits can be seen as detrimental to the body composition and fitness levels of young men. Furthermore, the physical exercise is in important role for reducing the metabolic syndrome, already present in young men. Maternal smoking during pregnancy was associated with reduced aerobic fitness in the subjects, underlining its longstanding consequences on offspring’s health.
Localization in supersymmetric field theories

Lecture One: • Introduction to Euclidean path-integrals and exact results • Operators: order, disorder & defect theories • Supersymmetry on curved manifolds • Supersymmetric localization Lecture Two: • S partition function of 2d N = (2, 2) gauge theories • One-loop determinants: harmonics, cohomological argument, index theorems Lecture Three: • Zamolodgikov metric of CFTs and S partition function • Higgs branch localization • Vortex moduli space in Ω-background, through “ADHM” construction Lecture Four: • T 2 partition function of 2d N = (0, 2) gauge theories: the elliptic genus • The Jeffrey-Kirwan residue • Topologically twisted index of 3d N = 2 theories • Black holes in AdS4 and dual ABJM • Entropy from large N limit of the index
Differential Transform Algorithm for Functional Differential Equations with Time-Dependent Delays

An algorithm using the differential transformation which is convenient for finding numerical solutions to initial value problems for functional differential equations is proposed in this paper. We focus on retarded equations with delays which in general are functions of the independent variable. The delayed differential equation is turned into an ordinary differential equation using the method of steps. The ordinary differential equation is transformed into a recurrence relation in one variable using the differential transformation. Approximate solution has the form of a Taylor polynomial whose coefficients are determined by solving the recurrence relation. Practical implementation of the presented algorithm is demonstrated in an example of the initial value problem for a differential equation with nonlinear nonconstant delay. A two-dimensional neutral system of higher complexity with constant, nonconstant, and proportional delays has been chosen to show numerical performance of the algorithm. Results are compared against Matlab function DDENSD.
Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery

This paper presents an evolution-based hyperheuristic (EHH) for addressing the capacitated location-routing problem (CLRP) and one of its more practicable variants, namely, CLRP with simultaneous pickup and delivery (CLRPSPD), which are significant and NP-hard model in the complex logistics system. The proposed approaches manage a pool of low-level heuristics (LLH), implementing a set of simple, cheap, and knowledge-poor operators such as “shift” and “swap” to guide the search. Quantum (QS), ant (AS), and particle-inspired (PS) high-level learning strategies (HLH) are developed as evolutionary selection strategies (ESs) to improve the performance of the hyperheuristic framework. Meanwhile, random permutation (RP), tabu search (TS), and fitness rate rank-based multiarmed bandit (FRR-MAB) are also introduced as baselines for comparisons. We evaluated pairings of nine different selection strategies and four acceptance mechanisms and monitored the performance of the first four outstanding pairs in 36 pairs by solving three sets of benchmark instances from the literature. Experimental results show that the proposed approaches outperform most fine-tuned bespoke state-of-the-art approaches in the literature, and PS-AM and AS-AM perform better when compared to the rest of the pairs in terms of obtaining a good trade-off of solution quality and computing time.