Miracle-dz/UniFAR-FTUs huggingface dataset:
Liver Transient Elastography Combined to Platelet Count (Baveno VI) Predict High Esophageal Varices in Black African Patient with Compensated Hepatitis B Related Cirrhosis

Aim: To assess the predictive value of the Baveno VI criteria for the diagnosis of large esophageal varices (EV) in Black African patient with compensated hepatitis B related cirrhosis. Methods: We carried out a cross-sectional study from January 2 to July 3 (2016), in Department of Gastroenterology at University Hospitals of Cocody (CHUC) and Yopougon (CHUY). All the black African patients included were more than 15 years old and their liver elasticity score (LES) was carried out at Yopougon University Hospital. Hepatitis B related cirrhosis was defined by LES ≥ 11 kPa (FibroScan® (Echosens, France)) with positive HBs antigen (HBsAg) and anti HBc antibody. All the patients with hepatitis B related cirrhosis performed a gastroscopy at Cocody University Hospital and esophageal varices were ranked according to societe francaise d’endoscopie digestive (SFED) classification. Data analysis was performed by SPSS model 20.0 statistics software (SPSS Inc., Chicago, IL, United States). Diagnostic performance of LES 150,000/mmm3 (Baveno VI criteria) for the diagnosis of large EV by gastroscopy was studied (area under the ROC curve, specificity (Sp), sensitivity (Se), positive predictive value (PPV) and negative predictive value (NPV). Results: During the study period, 720 patients achieved liver FibroScan® at CHUY. Of these, 60 respondents to our inclusion criteria were prospectively included in our study. Twelve (20%) of these 60 patients met the Baveno VI criteria. EV were present in 40% of cases (n = 24) with 6.7% (n = 4), 15% (n = 9) and 18.3% (n = 11) of grade 1, 2 and 3, respectively. (66.7% (n = 40) without EV or with small EV) and 33.3% (n = 20) with large EV. The Baveno VI criteria had a Se, Sp, PPV and NPV of 100%, 41.6%, 30% and 100% respectively for the diagnosis of large EV. The area under the ROC curve of a platelet count greater than 150,000/mm3, a liver elasticity score of less than 20 kPa and combination of both were respectively 0.763 [0.645 - 0.880; P = 0.272]; 0.588 [0.436 - 0.739; P = 0.01] and 0.650 [0.513 - 0.787 P = 0.005]. Conclusion: The combination of liver elasticity score 150,000/mm3, allowed the exclusion of large esophageal varices at gastroscopy with a 100 % NPV in Black African patients with compensated hepatitis B related cirrhosis.
Physiotherapy Program for Managing Adhesive Capsulitis in Patients with Diabetes: A Protocol for a Pilot Randomized Trial

Background: Adhesive capsulitis (AC) occurs five times more often in people with diabetes and leads to prolonged disability. Exercises and joint mobilization are usually used to manage AC. However, the recovery is slow and often incomplete. Aerobic exercises improve hyperglycemia and insulin sensitivity. Currently, no research has formally assessed the benefits of incorporating an aerobic training program into the treatment plan of AC in patients with diabetes. This single blind pilot randomized trial will compare the preliminary effect of a regular physiotherapy program (PT), to a regular PT program combined with a progressive walking program (PT+) in patients with and without diabetes who have AC. Methods: Patients (n= 40) will be recruited from St. Joseph's HealthCare Centre and associated primary care practices. Patients will be randomly assigned into either the regular PT program or regular PT combined with a progressive walking program. Patients will be referred to physical therapy facilities and the intervention will be chosen by the treating physical therapist. In the PT+ group, patients will be asked to perform free walking at their own pace for 30-45 minutes, five days per week, for six consecutive weeks. The primary outcome will be testing the functional performance of the shoulder using the Functional Impairment Test- Hand and Neck/ Shoulder/Arm (FIT-HaNSA) test. Secondary outcomes will include shoulder pain and function using the Shoulder Pain and Disability Index (SPADI) questionnaire; shoulder range of motion in flexion, abduction, and external rotation; muscles strength of shoulder flexors and abductors; and physical activity level using an accelerometer and the Rapid Assessment of Physical Activity (RAPA) questionnaire. The primary outcome will be evaluated at baseline and after six weeks. Secondary outcomes will be evaluated at baseline, and after three, six and 12 weeks from enrolment. Discussion: The novel approach taken in this pilot trial will establish the preliminary effect of a regular PT program combined with a progressive walking program and will evaluate a study design prior to the performance of a full-scale research project that may lead to better outcomes for managing adhesive capsulitis in people with diabetes.
USO DO MIP COMO ESTRATÉGIA DE REDUÇÃO DE CUSTOS NA PRODUÇÃO DE SOJA NO ESTADO DO PARANÁ

Pretendeu-se com este estudo comparar os custos de produção da soja convencional í quela com o monitoramento integrado de pragas – MIP- para as safras 2013/2014 a 2017/2018. O uso do MIP constitui ferramenta útil à atividade agrí­cola por viabilizar menores custos de produção sem afetar a produção, com ação corretiva apenas em caso de dano econômico, com redução de riscos às pessoas e ao ambiente. Os resultados demonstram volume de produção ligeiramente acima do sistema convencional, enquanto o número médio de aplicação de inseticidas, bem como o custo destas aplicações, oscila na casa de 50% das necessárias no sistema convencional no perí­odo. Do mesmo modo, um menor número de aplicações também significa que o produtor assume menor risco de intoxicação ou acidentes de trabalho pelo sistema MIP, assim como menor risco ao ambiente.
Machine learning to identify socio-behavioural predictors of HIV positivity in East and Southern Africa

There is a need for high yield HIV testing strategies to reach epidemic control. We aimed to predict the HIV status of individuals based on socio-behavioural characteristics.We analysed over 3,200 variables from the most recent Demographic Health Survey from 10 countries in East and Southern Africa. We trained four machine-learning algorithms and selected the best based on the f1 score. Training and validation were done on 80% of the data. The model was tested on the remaining 20% and on a left-out country which was rotated around. The best algorithm was retrained on the variables which were most predictive. We studied two scenarios: one aiming to identify 95% of people living with HIV (PLHIV) and one aiming to identify individuals with 95% or higher probability of being HIV positive.Overall 55,151 males and 69,626 females were included. XGBoost performed best in predicting HIV with a mean f1 of 76·8% [95% confidence interval 76·0%-77·6%] for males and 78·8% [78·2%-79·4%] for females. Among the ten most predictive variables, nine were identical for both sexes: longitude, latitude and, altitude of place of residence, current age, age of most recent partner, total lifetime number of sexual partners, years lived in current place of residence, condom use during last intercourse and, wealth index. Model performance based on these variables decreased minimally. For the first scenario, 7 males and 5 females would need to be tested to identify one HIV positive person. For the second scenario, 4·2% of males and 6·2% of females would have been identified as high-risk population.We were able to identify PLHIV and those at high risk of infection who may be offered pre-exposure prophylaxis and/or voluntary medical male circumcision. These findings can inform the implementation of HIV prevention and testing strategies.Swiss National Science Foundation.
SELECTION OF KOARMADA III PATROLING SHIP IN NORTH MALUKU SEA USING ANALYTIC NETWORK PROCESS METHOD

The geographical location of the North Maluku region and the extent of the sea that is difficult to reach by thesecurity forces to cause this area prone to illegal fishing, illegal loging, illegal entry, smuggling guns and liquor.The water traffic situation in this region is also very dense, almost every time we can see the ship that passesthrough this line especially in ALKI III, both merchant ships, passenger vessels, and vessels Fishermen can alsobe encountered there. This is what led to the province of North Maluku to be very vulnerable and provideopportunities to be utilized by people and other criminal acts to commit abuses in the North Maluku waters. Tomaximize marine security operations in North Maluku, the TNI AL at the Koarmada operations staff need tothink about and perform a mature calculation in the selection of patrol boats. This research uses the method ofAnalytic Network Process (ANP) because ANP is one method that can represent the level of interests of variousparties by considering the interconnectedness between criteria and sub-criteria that exist. The assignment ofpatrol vessels has three criteria, namely tactical, technical and economic. Processing of this selection data usingSuper decision software for ANP calculation. The results showed that the highest priority was KRI Tatihu-853 of0.851923, then the second priority for KRI Albakora-857 of 0.089943, then the third priority for KRI Madidihang-855 of 0.020778, then the fourth priority for KRI Layaran-854 by 0.016319, then fifth priority for KRI Sura-802 of0.010707, and the last sixth priority is KRI Kerapu-812 for 0.010329. Keywords: Maluku Utara, Ship Selection, ANP.
Improving on Simple Majority Voting by Alternative Voting Mechanisms

Subscriber: OUP-Reference Gratis Access; date: 15 August 2020 Subject: Econometrics, Experimental and Quantitative Methods , Economic Theory and Mathe­ matical Models , Micro, Behavioral, and Neuro-Economics Online Publication Date: Jan 2020 DOI: 10.1093/acrefore/9780190625979.013. 473 Improving on Simple Majority Voting by Alternative Voting Mechanisms Jacob K. Goeree, Philippos Louis, and Jingjing Zhang
Ecological Studies on Togyo Reservoir in Chulwon, Korea VI. The List of Phytoplankton and Periphyton

The composition of phytoplankton and periphyton community in Togyo reservoir was investigated. A total of phytoplankton was composed of 150 taxa, belonging to 6 phyla, 8 classes, 15 orders, 5 suborders, 31 families, 71 genera, 106 species, 14 varieties, 1 form and 29 unidentified species. The observed number of diatoms and green algae were much higher than others. Within diatoms the pennate diatoms appeared more than centric diatoms and solitary forms or colonial forms appeared more than filamentous forms in green algae. A total of epipelic algae was composed of 125 taxa, belonging to 3 phyla, 3 classes, 6 orders, 3 suborders, 13 families, 30 genera, 87 species, 29 varieties, 2 forms and 7 unidentified species. The diatoms appeared much more than others. Among those, the pennate diatoms dominated the centric diatoms in species number observed. A total of epilithic algae was composed of 114 taxa, belonging to 4 phyla, 4 classes, 11 orders, 3 suborders, 22 families, 38 genera, 79 species, 8 varieties, 1 form and 26 unidentified species. The observed number of diatoms and green algae were much higher than others. Within diatoms the pennate diatoms dominated the centric diatoms in species number observed. The dominance of pennate diatoms of the diatom community in the epipelic algal community and the epilithic algal community could be assumed that was due to the presence of raphe structure of pennate diatoms.
The Effect of Suction Side Tubercles on Torque Output of a Steam Turbine Low-Pressure Last Stage Blade

Flow separation and different kinds of stall flows occur under low load conditions for steam turbine last stage blades. In order to delay the flow separation and increase turbine power production, we applied suction side tubercles on steam turbine low-pressure last stage blades in the present study. The amplitude, wavelength, position, and thickness were considered as our design variables. We used the orthogonal test method (OTM) to generate modified blades with different tubercle variables that were then numerically simulated by a three-dimensional computational fluid dynamics (CFD) analysis. The blade axial torque of the nine modified tests was compared with the original blade. The results showed that the application of bionic tubercles on the suction side of the steam turbine blade is a promising solution to improve the blade axial torque for all modified tests with a maximum increase of 33.32% due to the turbulent vortices generated by bionic tubercles.
Jianite: Massive Dunite Solely Made of Virtually Pure Forsterite from Ji’an County, Jilin Province, Northeast China

A rare massive yellowish-green serpentinized dunite, covering a minimum area up to ~50 m2, has been found in Ji’an County, Jilin Province, Northeast China. It contains primary olivine and secondary serpentine (antigorite) and brucite. Other primary minerals like orthopyroxene, clinopyroxene, and aluminum-rich phase (such as garnet, spinel, and plagioclase), frequently appearing in ultramafic rocks, have not been identified. The olivine is essentially pure forsterite, with an Mg# (100 × Mg/(Mg + Fe)) of ~99.6–99.7. Due to these distinct features, we especially name the protolith of this dunite as jianite (集安岩). The forsterite grains range up to ~2 mm, show clear equilibrium textures such as nearly straight grain boundaries and ~120° dihedral angles at their triple junctions, and display no intragranular or intergranular composition variations. They are extensively ruptured and hydrated (i.e., serpentinized), with the fractures (and the grain boundaries as well) filled by fine-grained antigorite (ideally Mg6(Si4O10)(OH)8) and brucite (ideally Mg(OH)2). These secondary phases are also extremely poor in Fe, indicating a good chemical equilibrium with the forsterite. The serpentinization reaction may have proceeded as forsterite + fluid = antigorite + brucite at temperatures of ~425(25) °C and at relatively low but undetermined pressures. The fluid was likely a B-rich, but Si-poor dilute aqueous fluid, as implied by the trace element characteristics and water-related infrared features of the forsterites in equilibrium. The petrogenesis of the jianite is presently unclear.
Technology use in high school aural skills instruction

In this study, we investigated the use of digital technology for aural skills instruction in Advanced Placement Music Theory (APMT) classes in the United States. Our research questions focused on which technologies teachers use for aural skills, how they incorporate them, and what influences their decisions to use them. We created, piloted, and distributed a survey electronically to a stratified sample by state of 866 instructors. Participants who completed the survey (N = 317, response rate = 36%) were current APMT teachers representing 48 states. Of the 91% of respondents who used digital technologies for teaching aural skills, 93% used websites, 47% used software programs, and 38% used mobile apps. Participants incorporated technology for student practice outside class (93%) and during class (78%), and to present new material during class (55%). Of those who did not use technologies (n = 29), 41% cited lack of funds and 34% cited lack of class time. Participants noted that technology can provide extra practice for students and customization for their needs, but that students’ lack of access and limitations of the programs may temper these benefits. Implications for pedagogical practice and music teacher training are discussed.
Investigation of morphoagronomic performance and selection indices in the international safflower panel for breeding perspectives

Developing high yielding safflower cultivars with good adaptation to diverse environmental conditions can improve production in terms of seed yield and reduce the deficiency in edible oil. The genetic variability that exists among and within populations for desirable agronomic traits can be used to develop elite cultivars. A total of 94 safflower accessions from 26 different countries were used in this study to evaluate morphoagronomic performance, determine the pattern of similarity centers, and identify the best performing accessions by conducting 2 field experiments in Pakistan and Turkey using augmented design. Genetic diversity for important yield and yield traits was described including capitulum diameter 17.30 to 28.30 mm , branches per plant 5.10 to 17.30 , capitula per plant 8.70 to 80.40 , and seed yield per plant 4.86 to 51.02 g . These analyses showed a good level of variation in the current study. Using principal component analysis, it was observed that days to flower initiation, days to 50% flowering, days to flower completion, seed yield per plant, capitula per plant, branches per plant, seeds per capitulum, and capitulum diameter were the major contributors to the observed genetic variability in the evaluated safflower panel. Seed yield per plant reflected a significant and positive correlation with capitula per plant, branches per plant, and capitulum diameter, and these traits can be suggested as a selection criterion in safflower breeding programs. The hierarchical clustering was in agreement with the patterns of 7 similarity centers based on seed yield per plant, capitula per plant, capitulum diameter, and branches per plant. During this study, a few promising safflower accessions were selected for future breeding programs.
"Cara inchada", doença peridentária em bovinos

A disease of young cattle, called "cara inchada" (swollen face), was studied in Mato Grosso, Brazil. The clinical picture of the disease, in its advanced stage, is characterized by a periodontal inflammatory process with loosening and shedding of the premolar and molar teeth and by swelling of the maxillar and less frequently mandibular bone. The affected animals waste and many of them die by starvation. The disease was studied in pure and mixed bred zebu cattle. "Cara inchada" occurs in regions where pastures were formed with Guinea grass ( Panicum maximum ) after cutting the forest, on fertile low-land soils. In neighbouring areas situated in the higher country with "cerrado" vegetation the disease was not observed. Clinical examinations of cattle up to 1 year of age revealed an average incidence of the disease of 6%, but on one farm 22.6% of the calves were found to be affected. By oral examination of about 1,500 bovines on farms where "cara inchada" occurred and by postmortem examination of 30 bovines affected it was seen that initial paradental changes of the disease can already be found in 1 month old calves. Cattle from "cara inchada"-free regions brought into areas where the disease occurs, can be affected if they are transferred to these areas before the age of about 2 and a half years. Initial essentially non-inflammatory lesions of "cara inchada" were found in young calves at the medial portion of the interdental papilla between the maxillar P 2 and P 3 teeth in form of a paradontal pocket. The entrance of food and other particles is an aggravating factor of the process which finally results in an alveolar pyorrhoea and chronic ossifying periostitis. The clinical, post-mortem and histopathological findings indicate that the initial lesion takes place during eruption of the teeth, possibly due to impaired physiologic regeneration and repair of the paradontal connective tissue. The authors think that the "cara inchada" condition of cattle is caused by one or more alimentary factors.
Bidirectional Gated Recurrent Deep Learning Neural Networks for Smart Acoustic Emission Sensing of Natural Fiber–Reinforced Polymer Composite Machining Process

Natural fiber–reinforced polymer (NFRP) composites are increasingly considered in the industry for creating environmentally benign product alternatives. The complex structure of the fibers and their random distribution within the matrix basis impede the machinability of NFRP composites as well as the resulting product quality. This article investigates a smart process monitoring approach that employs acoustic emission (AE)—elastic waves sourced from various plastic deformation and fracture mechanisms—to characterize the variations in the NFRP machining process. The state-of-the-art analytic tools are incapable of handling the transient dynamic patterns with long-term correlations and bursts in AE and how process conditions and the underlying material removal mechanisms affect these patterns. To address this gap, we investigated two types of the bidirectional gated recurrent deep learning neural network (BD-GRNN) models, viz., bidirectional long short-term memory and bidirectional gated recurrent unit to predict the process conditions based on dynamic AE patterns. The models are tested on the AE signals gathered from orthogonal cutting experiments on NFRP samples performed at six different cutting speeds and three fiber orientations. The results from the experimental study suggest that BD-GRNNs can correctly predict (around 87 % accuracy) the cutting conditions based on the extracted temporal-spectral features of AE signals. 1 Department of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA (Corresponding author), e-mail: zimo.zmw@gmail.com, https:// orcid.org/0000-0001-9667-0313 2 Department of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA 3 Capital One Financial Corp, Richmond, VA, USA 4 Arts et Metiers Institute of Technology, MSMP, HESAM Université, Châlons-enChampagne, F-51006, France 5 Texas A&M University, Department of Mechanical Engineering, 3123 TAMU, College Station, TX 77843, USA 6 Texas Engineering Experiment Station, Institute for Manufacturing Systems, College Station, TX 77843, USA
Analysis of Labor Informality in Villavicencio – Colombia (2015-2018)

In this article the socioeconomic profile of the employed population in the informal sector of the municipality of Villavicencio (Colombia) is determined, and for this, the data obtained from the Great Integrated Household Survey GEIH (2015-2018) are used and a probit model is applied. It is concluded that being a woman, having a low level of education, earning low income, being single, working more hours per week, not having a work contract, not having a retiree plan, belonging to the subsidized health regime, increase the probability of being in the informal labor market.
Data-Driven Modelling and Prediction of CoAP Throughput in a Grid Network Topology

: In this study, we propose new models for predicting the average throughput in a 4x4 grid Constrained Application Protocol (CoAP)-based IoT network using Support Vector Machine (SVM) and Multiple Linear Regression (MLR). Two different CoAP congestion control mechanisms have been considered: the default CoAP congestion control (CC) and the CoAP Simple Congestion Control/Advanced (CoCoA). On the client-side, we run 3, 6, 9, 12 or 15 CoAP clients requesting packets, sized with 12, 24, 36 or 48 bytes, from different CoAP servers over 4x4 grid IoT network configured with packet delivery ratios of 90, 95 or 100. In total, 60 different experimental scenarios, each of which was run 10 times to determine the average throughput of default CoAP CC and CoCoA clients, were created. Using 10-fold cross-validation, the performance of the prediction models has been evaluated using several performance metrics. The results show that combining packet delivery ratio and number of concurrently sending clients in a model leads to the highest correlation with the average CoAP throughput of the IoT network. Particularly, this model produces the lowest prediction error among all SVM-based and MLR-based models, regardless of whether the default CoAP CC or CoCoA is used as the congestion control mechanism.