Miracle-dz/UniFAR-FTUs huggingface dataset:
Solving Linear Volterra – Fredholm Integral Equation of the Second Type Using Linear Programming Method

في هذا البحث تم عرض تقنية جديدة لإيجاد حل لثلاثة أنواع من المعادلات التكاملية الخطية من النوع الثاني المتضمنة: معادلة فولتيرا-فريدهولم التكاملية (LVFIE) ( الحالة العامة), معادلة فولتيرا التكاملية (LVIE) و معادلة فريدهولم التكامليىة (LFIE) (كحالتين خاصتين). التقنية الجديدة تعتمد على تقريب الحل الى متعددة حدود من الدرجة (m-1) وبعد ذلك تحويل المسألة الى مسألة برمجة خطية (LPP) والتي سوف تحل لايجاد الحل التقريبي لمعادلة فولتيرا- فريدهولم التكاملية الخطية من النوع الثاني(LVFIE) . علاوة على ذلك تم استخدام الطرق التربيعية التي تضم: قاعدة شبه المنحرف (TR), قاعدة سمبسون 3/1 (SR), قاعدة بول (BR) وصيغة رومبرك للتكامل (RI) لتقريب التكامل الموجود في LVFIE , كما تم عمل مقارنات بين هذه الطرق. واخيرا لزيادة التوضيح تم اعطاء الخوارزمية المتبعة في الحل وتم تطبيقها على امثلة اختبارية لتوضيح فعالية التقنية الجديدة.
Distortion Load Identification Based on the Application of Compensating Devices

The article provides an analysis of the existing methods of identifying the consumer’s contribution to voltage distortion at a point of common coupling. The considered methods do not allow correctly and fairly determining the source of harmonic distortions, or they have limited application and difficulties in implementation. The paper proposes new methods for determining the source of high harmonics. The developed methods and techniques are based on the analysis of the grid operation modes with two connected consumers using compensating devices, such as reactive power compensation devices and passive harmonic filters. It is shown that the most promising method is the application of harmonic filters, which allows determining the share of the consumer’s contribution to the voltage distortion. The present research is carried out using a computer simulation of the existing electrical grid, to which consumers with nonlinear electric load are connected. These methods can be implemented to assess the power quality and the shareholding of different consumers connected at the point of common coupling. Furthermore, such methods appear to be feasible, as almost every enterprise currently has such facilities in operation.
ECOFRIENDLY SYNTHESIS OF CERIUM NANOPARTICLES WITH AMLA FRUIT ( EMBILICA OFFICINALIS) AND ITS ANTICANCER ACTIVITY

-The recent development and implementation of new technologies have led to a new trend, the nanorevolution unfolding the role of plants in bioand green synthesis of nanoparticles which seems to have drawn a quite unequivocal attention to the synthesis of stable nanoparticles. The synthesized nanoparticles were characterized by UV-Vis spectroscopy, FTIR, X-ray diffraction energy dispersive X-ray analysis and scanning electron microscopy. The results showed that the prepared CeNPs were nearly spherical in shape with sizes ranging from 1μm to -100.With the aim of making specific targeting of cerium nanoparticles as a drug for tumour cells and developing new anticancer agents, a novel nano-composite was developed. Cerium nanoparticles and their cancerous effects were evaluated against MDA-MB 231, a human breast cancer cell line.The results indicate that cerium nanoparticles could be a good candidate for chemotherapeutic drug.
Real-Time Detection of Actual and Early Gait Events During Level-Ground and Ramp Walking

In recent studies on gait event detection, the inertial sensor-based approaches were found to be more suitable for long term use compared to force sensors. However, inertial sensor-based algorithms exhibit some time delay. This time delay can affect the stability of the powered prosthetic and assistive devices (PPADs). Hence, several methods were proposed to reduce the same. However, it is impossible to completely eliminate the effect of delay using the existing methods. In this study, we proposed a novel early detection strategy to tackle the issue discussed above. The strategy involved the detection of both actual as well as early gait events. Thus, a total of nine gait events were detected in real-time using inertial sensors and a set of rules. The proposed method was tested for ten control subjects during both level ground as well as ramp walking, and the detection accuracy was found to be equal to 100%. Moreover, the time delay for the detection of actual gait events using the proposed method was found to be similar to that of some state-of-the-art methods and better than a few. The average early detection time was found to be equal to 123 ms that can be utilized to improve the response of PPADs.
Measurement of pancreatic protein synthesis

Different methods have been used to measure protein synthesis involving administration of isotopically labeled amino acids with subsequent measurement of the incorporation of label into protein. For animal studies this is usually a radioactive isotope due to cost and ease of measurement while human studies have usually used stable isotopes (16, 17). Protein synthesis in the exocrine pancreas has been analyzed in studies involving pancreatic stimulation by diet (6, 11, 25), hormones (insulin, CCK) (1, 9, 10, 12, 19, 21, 24, 26-28) as well as in different models of acute pancreatitis (4, 5, 13, 15, 18, 22). Most of the early studies were done using different ways of administering the labeled amino acid as a tracer and some were lacking an accurate assessment of the specific radioactivity of the precursor amino acid at the site of protein synthesis. As indicated with all these studies, the amino acid labeled analysis can be performed using pancreatic tissue obtained in vivo or in vitro with isolated pancreatic cell fragments or lobules. While total protein synthesis is the usual parameter measured, the same principles apply to determination of the synthesis of individual proteins after isolation by immunoprecipitation or gel electrophoresis. Measurement of pancreatic protein synthesis in vivo. The Flooding Dose technique. For in vivo experiments, the use of readily accessible compartment pools, such as the intracellular free amino acids or plasma pools, to estimate precursor labeling is based on the assumption that the experimental treatment does not alter the relationship between the labeling of the sampled pool and that of the aminoacyl-tRNA, the direct precursor of protein synthesis. However, experimental conditions have the potential to alter precursor enrichment either by affecting the amount of labeled amino acid entering the cell or by affecting the contribution of unlabeled amino acids derived from protein degradation to the charging of aminoacyl-tRNA. In these cases, the problem of accurately determining precursor enrichment may be minimized by the flooding dose technique (3).
Do Community Health Centers Have Contextual Effect on the Risk of Recurrence in Patient with Tuberculosis? A Multilevel Evidence from Surakarta, Central Java

Background: Community Health Centers play­ed an important role in tuber­culosis con­trol. Ho­w­ever, Community Health Centers’ con­tex­tual effect toward tuberculosis recurrence has not yet been discovered. The study aims to analyze socio-demography and clinical factors of first tuber­culosis episode and Community Health Centers’ contextual effect toward tuber­culosis recurrence. Subjects and Method: It was analytic obser­vational study with case control approach. The study was conducted in the city of Sura­kar­ta, Central Java, from December 2019 up to January 2020. Sample collection toward 204 tuberculosis patients who had completed their treatment or were confirmed cured, were con­duc­ted by using simple random sampling at individual level and stratified random sampling at community health centers level. The de­pen­dent variable was tuber­culosis recurrence. The independent variables were family income, le­vel of education, BCG vaccination status, smo­­­­king history, initial bac­terio­logical test, weight gain, DM, and COPD. The data were collected through medical record and interview. The data were analyzed by using multi­level multiple logistic regression with Stata 13. Results: In individual level, the preventive factor toward tuberculosis recurrence among other were high income (OR= 0.24; 95% CI= 0.06 up to 0.92; p= 0.037), high level of educa­tion (OR= 0.18; 95% CI= 0.04 up to 0.84; p= 0.029), BCG vaccination status (OR= 0.11; 95% CI= 0.02 up to 0.67; p= 0.017), and high weight gain (OR= 0.06; 95% CI= 0.01 up to 0.28; p< 0.001). Meanwhile, the independent predictors toward tuberculosis recurrence (OR= 7.11; 95% CI= 1.65 up to 30.64; p= 0.009) and diabetes mellitus (OR= 10.85; 95% CI= 2.13 up to 55.29; p= 0.004). In the level of Community Health Centers, high ratio between health workers/ tuberculosis patients significantly cor­related with lower tuberculosis (OR= 0.01; 95% CI< 0.01 up to 0.44; p= 0.016). Community health Centers had contextual effect toward tuberculosis re­currence with Intra-Class Cor­relation (ICC) by 38.67%. Conclusion: Factors in individual and com­munity health centers level may affect tuber­culosis recurrence. Community Health Centers has contextual effect toward tuberculosis re­cur­rent. Keywords: Tuberculosis recurrence, tuber­culosis, predictor, Community Health Center, multi­­level analysis Correspondence: Muvida. Masters Program in Public Health, Universitas Sebelas Maret, Jl. Ir. Su­ta­­mi No. 36 A, Surakarta 57126, Central Java. Email: muvida­md@­gmail.com. Mobile: +628­965­1­4­­50435. Journal of Epidemiology and Public Health (2020), 5(1): 65-78 https://doi.org/10.26911/jepublichealth.2020. 05.01. 07
Clinical research nursing and factors influencing success: a qualitative study describing the interplay between individual and organisational leadership influences and their impact on the delivery of clinical research in healthcare

Background Clinical research delivery is a term increasingly used to describe the work undertaken to implement studies which explore and test prevention, diagnosis and treatment in healthcare. Such studies range from multi-site clinical trials to single site observational projects. Whilst widely acknowledged as fundamental to effective healthcare, clinical research is complex to deliver and is met with challenges in the busy clinical environment. The perceptions and experiences of Clinical Research Nurses, whose work is central to this agenda, have emerged as important, yet frequently overlooked insights in relation to the potential success of research delivery. Increased understanding of these insights is essential to address the barriers and maximise facilitators to success in clinical research. Aim To better understand how the perceptions and experiences of Clinical Research Nurses relate to potential for success in research delivery. Methods Seven focus groups and two one-to-one interviews (27 participants) were conducted in a large tertiary North East England National Health Service Foundation Trust between March and June 2017. Results Clinical Research Nurses’ described perceptions and experiences of working to co-ordinate and deliver a range of research as individuals, within their teams, throughout the wider organisation, and beyond. Two key elements situated within an overarching theme of leadership emerged as likely to impact on how successfully they were able to practise: • the individual (self-leadership). • the organisation (leadership culture). Conclusions The framework emerging from this study illustrates a complex interplay between personal attributes and organisational culture, mediated by national strategies and targets associated with the clinical research agenda. When situated within the concept of leadership, it broadens the potential for understanding the underlying issues and increases the range of possible support mechanisms to improve experiences for Clinical Research Nurses. Framing the challenges in this way contributes new knowledge to the dialogue surrounding clinical research delivery.
Analysis and Mitigation of Subsynchronous Resonance in Series-Compensated Grid-Connected System Controlled by a Virtual Synchronous Generator

Analogizing the subsynchronous resonance (SSR) phenomenon of the series-compensated grid-connected system based on synchronous generator, the virtual synchronous generator (VSG) also has the low-frequency oscillation problem owing to the impedance interaction between VSG and series-compensated network. Stability of the series-compensated grid-connected system controlled by VSG is analyzed by the impedance-based Nyquist stability criterion. Due to the inductive impedance of VSG, VSG is easy to couple with the series-compensated network in the low-frequency areas, which can lead to the SSR. With the increase of the series compensation level, the stability of VSG becomes worse and the induced oscillation frequency becomes higher. Therefore, a modulation signal feedforward active-damping control strategy with time-delay compensation is proposed to suppress this SSR, which directly feeds the active-damping control signal to the pulsewidth modulation modulator for reshaping the output impedance of VSG from the inductance to the resistance–inductance. Moreover, a value range of virtual resistance is given with considering the influence on the regular operation of VSG. Finally, the simulation and experimental results verify the correctness of the SSR analysis and the feasibility of the proposed active-damping control strategy.
Distribution of Meloidogyne enterolobii in Eastern North Carolina and Comparison of Four Isolates

The guava root-knot nematode (RKN), Meloidogyne enterolobii, is a particularly aggressive pathogen with limited known distribution in the United States. In 2011, M. enterolobii was identified on field crops in North Carolina for the first time. In collaboration with the North Carolina Department of Agriculture and Consumer Services Nematode Assay Laboratory, RKN-positive samples from the eastern half of North Carolina submitted to the laboratory were analyzed for Meloidogyne species identification using polymerase chain reaction (PCR) of individual nematodes. PCR primers specific for Meloidogyne incognita, M. javanica, M. arenaria, M. hapla, and M. enterolobii were used to analyze DNA from 203 RKN-positive samples representing a variety of field and vegetable crops grown in counties in the eastern half of North Carolina. M. incognita was the predominant species identified (32% of samples), and M. enterolobii was identified in 6% of samples including ones from sweetpotato, tobacco, and soybean crops. New detections of M. enterolobii were found in Nash, Greene, Sampson, and Harnett counties in addition to the previously identified locations in Johnston, Wayne, Columbus, and Wilson counties. Four isolates of M. enterolobii populations were collected from soybean and sweetpotato crops in Johnston, Greene, and Wilson counties and reared on ‘Rutgers’ tomato plants in the greenhouse. Potential differences in virulence among the four M. enterolobii populations were not detected in greenhouse infection assays on six selected resistant and susceptible sweetpotato genotypes in two independent tests.
Relationship between excessive daily sleepy and quality of life in military firefighters

Objective: To relate excessive daytime sleepiness and quality of life in military firefighters. Method : quantitative, transversal research, carried out with 129 military firefighters working in Rio Grande do Sul, who had been performing operational and administrative assistance for more than six months in the function. For the data collection, a sociolaboral and lifestyle questionnaire, Epworth Sleepiness Scale and the World Health Organization Qualityof Life were used. Data were analyzed using descriptive and analytical statistics. Results: Firefighters predominated with no sleepiness and a good general perception of quality of life. An association was identified between drowsiness and the child variables (p = 0.044), experienced risk at work (p <0.001) and resting place (p = 0.010). There was a statistical difference between the domains of quality of life and the variables sleepiness and experienced risk at work (p <0.05). Conclusion : Excessive daytime sleepiness influences the perception of quality.
Distributed Online Learning of Cooperative Caching in Edge Cloud

Cooperative caching can unify storage across edge clouds and provide efficient delivery of popular contents under effective content placement. However, the placement and delivery are non-trivial in cooperative caching due to the decentralized property of edge clouds, as well as the temporal and spatial correlation of the placement. We propose a new distributed online learning approach to jointly optimize content placement and delivery without the a-priori knowledge on file popularity and link availability. Content placement and delivery can be asymptotically optimized in real-time by running distributed online learning at individual edge servers by exploiting stochastic gradient descent (SGD). The proposed approach can allow operations at different timescales by integrating mini-batch learning for farsighted content placement. The optimality loss, stemming from the different timescales, can asymptotically reduce, as the SGD stepsize declines. Simulations confirm that the proposed approach outperforms existing techniques in terms of cache hit ratio and cost effectiveness. Insights are shed on the optimal placement of popular contents.
Heterogeneous graph inference based on similarity network fusion for predicting lncRNA–miRNA interaction

LncRNA and miRNA are two non-coding RNA types that are popular in current research. LncRNA interacts with miRNA to regulate gene transcription, further affecting human health and disease. Accurate identification of lncRNA–miRNA interactions contributes to the in-depth study of the biological functions and mechanisms of non-coding RNA. However, relying on biological experiments to obtain interaction information is time-consuming and expensive. Considering the rapid accumulation of gene information and the few computational methods, it is urgent to supplement the effective computational models to predict lncRNA–miRNA interactions. In this work, we propose a heterogeneous graph inference method based on similarity network fusion (SNFHGILMI) to predict potential lncRNA–miRNA interactions. First, we calculated multiple similarity data, including lncRNA sequence similarity, miRNA sequence similarity, lncRNA Gaussian nuclear similarity, and miRNA Gaussian nuclear similarity. Second, the similarity network fusion method was employed to integrate the data and get the similarity network of lncRNA and miRNA. Then, we constructed a bipartite network by combining the known interaction network and similarity network of lncRNA and miRNA. Finally, the heterogeneous graph inference method was introduced to construct a prediction model. On the real dataset, the model SNFHGILMI achieved AUC of 0.9501 and 0.9426 ± 0.0035 based on LOOCV and 5-fold cross validation, respectively. Furthermore, case studies also demonstrate that SNFHGILMI is a high-performance prediction method that can accurately predict new lncRNA–miRNA interactions. The Matlab code and readme file of SNFHGILMI can be downloaded from https://github.com/cj-DaSE/SNFHGILMI.
Tid1 Mediates Agrin and Muscle Specific Kinase Signaling at the Neuromuscular Junction

The neuromuscular junction (NMJ) has a structure that is optimized to relay signals from nerve to muscle. As part of its organizational scheme, certain muscular proteins, like nicotinic acetylcholine receptors (AChRs), are clustered preferentially at the NMJ. Clustering of AChRs at the NMJ is essential for efficient neurotransmission. The major factor which strengthens and sustains the NMJ localization of AChRs is the motoneuron-derived glycoprotein agrin. Agrin acts via a receptor complex that includes the muscle-specific receptor tyrosine kinase (RTK) MuSK. Although MuSK has been well characterized, the signaling pathway by which it mediates agrin-induced clustering of AChRs remains elusive. Understanding this process will provide insights for the treatment of a variety of muscle weakness disorders, such as myasthenia gravis and muscular dystrophy. For instance, some forms of myasthenia gravis are caused by autoantibodies directed against MuSK. Future therapies could be designed to circumvent dysfunctional portions of the clustering cascade. In addition, studying this pathway may reveal mechanisms important for the formation and maintenance of synapses. A bacterial two-hybrid assay was used to screen a rat muscle cDNA library for binding partners of the cytoplasmic domain of mouse MuSK. The mammalian homologue of the Drosophila protein, tumorous imaginal discs, tid1, was identified as a specific MuSK binding protein. Interestingly, tid1 has recently been shown to bind to and to modulate the signaling of the ErbB2 and Trk families of RTKs. Biochemical assays confirmed that tid1 binds to MuSK. Tid1 was colocalized with AChR clusters in cultured myotubes and at rodent NMJs. Denervation dispersed tid1 and AChRs from the postsynaptic membrane of the NMJ. Overexpression of the N-terminal half of tid1 in myotubes induced aneural AChR clustering. Short hairpin RNA (shRNA)-mediated knockdown of tid1 inhibited spontaneous and agrin-induced AChR clustering in cultured myotubes and resulted in the disassembly of preformed NMJs in skeletal muscles of adult mice. Furthermore, the amplitudes of spontaneous miniature endplate potentials (MEPPs) and evoked endplate potentials (EPPs) were significantly reduced in muscles electroporated with tid1-targeted shRNA. These results implicate tid1 as a novel NMJ player and define a new class of molecules in the agrin/MuSK signaling cascade.
Effect of ozone treatment on microbiological and physicochemical properties of soymilk beverage

Ozone is a strong oxidant and potent desinfecting agent. An ozonation process for microbial inactivation in some beverages has been done. Accordingly, the ozonation process was performed in soymilk. Soymilk was ozonated under different exposure time: 1, 3, 5, 10, and 15 minutes and evaluated for the changes of microbiological and physicochemical properties. The assays were carried out by using an experimental design fully randomized and results were statistically evaluated by Duncan’s Multiple Range test (p < 0.05). Following the ozone treatment, a significant reduction in pH occurred at 1 minute treatment, whereas a significant increasement was recorded after 3 minutes treatment. A significant increasement in total dissolve solid was observed at 5, 10, and 15 minutes. Microbial reduction was recorded 0.19 log cycles at 1 min., 0.35 log cycles at 3 min, and 0.57 log cycles at 5 minutes ozone treatment. In contrast, an increase of microbial population occurred at 10 and 15 minutes. The findings presented here could be a prelude for the potential application of ozone treatment of soymilk in the food industry.
The complete chloroplast genome of Chrysopogon aciculatus (Retz.) Trin

Abstract Chrysopogon aciculatus (Retz.) Trin. is one of the most important warm-season turfgrass and one of the distribution centers in China, widely distributed in tropical regions of South China. In this study, the complete chloroplast genome sequence of C. aciculatus was determined from Illumina pair-end sequencing data. The complete chloroplast genome sequence of C. aciculatus is 140,696 base pairs (bp) in length, including one large single-copy region (LSC, 82,667 bp), one small single-copy region (SSC, 12,539 bp), and a pair of inverted repeat regions (IRs) of 22,745 bp. Besides, the complete chloroplast genome contains 134 genes, including 85 protein-coding genes, 41 tRNA genes, and 8 rRNA genes. Phylogenetic analysis showed that C. aciculatus (Retz.) Trin. was most closely related to C. serrulatus. The complete chloroplast genome will provide reference for the further investigation and research of C. aciculatus.