Miracle-dz/UniFAR-FTUs huggingface dataset:
Fitalat temas› ile plazma amilaz ve lipaz düzeyleri aras›ndaki iliflkinin pubertal jinekomasti hastalar›nda deerlendirilmesi Evaluation of the correlation between plasma amylase and lipase levels and phthalate exposure in pubertal gynecomastia patients

Summary Aim: The aim of this study was to determine the correlation between plasma phthalate and pancreatic lipase and α−amylase levels in pubertal gynecomastia patients with high plasma levels of di(2-ethylhexyl)phthalate (DEHP) and its metabolite mono (2-ethylhexyl) phthalate (MEHP) which are known endocrine disrupting chemicals and to evaluate the possible effects of phthtalates in pancreas. Material and Method: The study group was composed of 40 pubertal gynecomastia patients. Plasma phthalate levels (Di(2-ethylhexyl)phthalate, DEHP and mono (2-ethylhexyl) phthalate, MEHP) were determined using HPLC. Plasma lipase and α−amylase levels were measured by using enzymatic colorimetric assay. Results: Plasma DEHP and MEHP levels in gynecomatia patients were higher than the control group significantly. Significant negative correlations existed between α−amylase and MEHP levels in gynecomastia (r=-0.388, p<0.05) and overall study groups (r=-0.353, p<0.05). Negative correlation between DEHP and α−amylase levels was found to be significant in overall study group (r=-0.323, p<0.05). Conclusions: The results suggest that phthalate exposure might cause significant decreases in α-amylase secretion. The inverse correlation observed might be explained by the PPARγ (peroxisome proliferator-activated receptor gamma)-activation of phthalates. (Turk Arch Ped 2010; 45: 366-70)
A NEW APPROACH FOR WATER ALLOCATION SCHEDULING IN IRRIGATION OPEN CHANNELS CASE STUDY: ALMANNA MAIN CANAL, AND ITS BRANCHES

In Egypt, the Agriculture sector consumes about 85.90% of the total actual consumption of water. The irrigation canals network in Egypt at all levels suffer from water losses, distorted sections, and un-equitable distribution of irrigation water among beneficiaries. With population growth, expansion of economic and industrial activities and entry of Egypt into the stage of water poverty, rationalization of the consumption of irrigation water has become an urgent requirement and a key factor in achieving sustainable water development. Although crops may need different water quantities during their growth stages, irrigation canals are constantly supplied with almost the same monthly discharge during periods of peak or minimum requirements. The objective of this study is to activate a new approach for the reasonable management of the irrigation network for the study area. This approach allows the canals network to be supplied with monthly discharges consistent with the actual water consumption of the cultivated plant. Also, it helps in rationalizing consumption during the agricultural season. The new approach was applied to Almanna main canal and its branches which belong to the Assiut governorate in Egypt, as an example of the irrigation system in Egypt. Rotational distribution is practiced at the distributary canal level. The results 355 Tarek S, Abuzeid, A New Approach for Water Allocation Scheduling in Irrigation Open Channels. indicated that applying the new approach on Almanna distributary canals can save a large amount of irrigation water that reaches about 19.375 Million cubic meters monthly, representing 48.68% of all irrigation water given to Almanna distributary canals. Also, the percentage value of the new discharges of Almanna distributary canals, which calculated according to the water needs of crops cultivated in the area, ranged between 32 and 67% of the designed discharges.
A benchmark study of the material models for forming simulation of woven fabrics

Abstract Large amounts of angular distortions occur during the forming of woven fabrics. It is extremely important to predict the angular distortions during the forming since they determine the mechanical response of the formed product. In this regard, finite element analysis (FEA) is an effective approach to predict the forming behavior of woven structures, and thus in this work an FEA simulation of a hemispherical forming process is studied by using the Viscoelastic Loose Fabric Model (MAT_234), Micromechanics Dry Fabric Model (MAT_235), and Anisotropic Hyperelastic Model (MAT_249), which are three commonly used models in LS-DYNA material library for modeling of woven structures. The results reveal that the Viscoelastic Loose Fabric Model (MAT_234) and Anisotropic Hyperelastic Model (MAT_249) provide accurate results in terms of outer contour and shear angle distribution of deformed fabric, whereas the Micromechanics Dry Fabric Model (MAT_235) fall behind these two models in terms of prediction capability.
Endoscopic and pathologic motifs for the clinical diagnosis of Epstein–Barr virus‐associated gastric cancer

Abstract Objectives Based on the recent therapeutic trends for gastric cancer (GC), the clinical impact of the diagnosis of Epstein–Barr virus (EBV)‐associated GC (EBVaGC) appears to be important. We retrospectively analyzed endoscopic and pathologic motifs of GC lesions to narrow the number of candidates for EBV testing. Methods We performed EBV tests for 32 upper gastrointestinal lesions of 32 patients in the clinical setting. These tests were ordered by endoscopists or by pathologists without an endoscopist's order. EBV‐encoded small RNA1 (EBER1) in situ hybridization was used for the EBV tests. The endoscopic motif for the EBV test was the location in the upper part of the stomach or remnant stomach, mainly the depressed type with a submucosal tumor‐like protrusion of the lesion. The pathologic motif was carcinoma with lymphoid stroma (CLS) or CLS‐like histology of the lesion. We retrospectively analyzed the results of EBV tests for the endoscopic and pathologic motifs. Results The final pathological diagnoses of the 32 subjects were 26 GCs including CLS, gastric endocrine cell carcinoma, gastric hepatoid carcinoma, gastric T‐cell lymphoma, gastritis of the remnant stomach, esophageal adenocarcinoma, and esophageal squamous cell carcinoma. When nontypical lesions were excluded, the EBER1‐positive rate was 42.3% (11/26) in GCs. Of the 14 GC lesions ordered examined by endoscopists, three (21.4%) were EBVaGC. Eight of the 12 (66.7%) GCs ordered examined by pathologists were EBVaGC. Conclusions The pathologic motif is expected to be useful and the endoscopic motif may be helpful for EBVaGC diagnosis.
Sustainable Practices in International Chain Hotels in Muscat, Sultanate of Oman

Purpose: The aims of the study were to analyze the sustainable practices adopted by international chain hotel brands in Muscat; to analyze and find out the extent of the sustainable practices affecting guest satisfaction in international chain hotels in Muscat and to determine the barriers and challenges faced by international hotel chain brands in Muscat. <br><br>Design/methodology/approach: Forty questionnaires were distributed to two chain hotels’ employees in different job positions. In-depth interviews were also used to gather qualitative information from human resources departments and corporate social responsibility specialists to discuss the current trends in sustainable practices in international chain hotel brands in Muscat. The collected data was then analyzed using SPSS and Qualitative tools. <br><br>Findings: The study reveals that the hotels’ sustainability initiatives had an effective impact on cost savings and helps to reduce waste, and resource wastage. It was also found that guests are willing to pay more at the hotel to support their green initiatives and the guests were satisfied with the innovation towards the sustainability initiatives undertaken and felt their stay a memorable one. <br>Research implications: It was observed that there is a strong relationship between sustainable green practices and guest satisfaction and so maintain the sustainable practices to raise the guest expectations. Some of the guests were not aware of the sustainable practices and the employees and the creation of awareness is a must. <br><br>Social implications: Awareness within the staff and the community can be raised only through proper education and training. <br><br>Originality/Value: The study confines to international chain hotels located in Muscat, the capital of Sultanate of Oman. The study excludes the economic and social aspects of sustainability as the entire focus was on the environmental aspects of sustainable practices only. <br>
Aprendizado de Máquina Aplicado à Predição de Doenças Cardiometabólicas com Utilização de Indicadores Metabólicos e Comportamentais de Risco à Saúde

Cardiometabolic diseases, developed throughout the worker’s life,such as hypertension, diabetes, dyslipidemia and obesity are amongthe main causes of death and are associated with modifiable andcontrollable risk factors. The general objective of this study wasto apply supervised Machine Learning techniques and to comparetheir performance to predict the risk of developing cardiometabolicdisease from servers working at the School Hospital of south inBrazil. We sought to map the characteristics of individuals who aremore likely to develop cardiometabolic diseases. The machine learningmodels evaluated were Naive Bayes, Decision Tree, RandomForest, KNN, Logistic Regression and SVM. The results obtained inthe experiments showed that some supervised machine learningmodels produce a good classification, depending on the attributesand hyperparameters used.
MEMÓRIA, AUTORREGULAÇÃO E AUTOEFICÁCIA NO DESEMPENHO DA APRENDIZAGEM

O presente artigo tem como propósito analisar as teorias da memória, autorregulação e autoeficácia, buscando relacioná-los no contexto dos estudos sobre metodologia do ensino. Trata-se de um ensaio no âmbito dos estudos de cognição social em interface com a metodologia do ensino, visando fornecer subsídios para melhor compreensão do funcionamento psíquico, em particular da relação entre memória e autorregulação de aprendizagem, objetivando favorecer o desempenho frente à aprendizagem na perspectiva da autoeficácia. Deste modo, a memória ocupar-se-á por armazenar informações, obtidas do conhecimento, evocá-las e orientar o ser humano por uma consciente autorregulação, processo pelo qual desenvolverá habilidades cognitivas novas. A partir do reconhecimento da variedade de suas potencialidades como decorrência, a autoeficácia, tida como crença, aperfeiçoará e emitirá juízos no que diz respeito à qualificação de cada uma das capacidades cognitivas, devidamente consideradas, apresentando, portanto, uma total integração da pessoa, principalmente de suas capacidades.
Spectrum measurement and utilization in an outdoor 5‐GHz Wi‐Fi network using cooperative cognitive radio system

Nowadays, the popular 2.4‐GHz band is used in different systems, such as Wi‐Fi, Bluetooth, wireless sensor systems, and wireless cameras. Instead of the over‐crowded 2.4‐GHz Wi‐Fi band, this research offers the experience of using the 5‐GHz Wi‐Fi band, which provides more spectrum availability, more channels, larger bandwidth, faster data transmission, higher data rates, higher speed, and better quality of service compared to those of the 2.4‐GHz band. In this paper, practical implementation and testing of a cooperative spectrum sensing system are presented. The spectrum utilization in the 5‐GHz Wi‐Fi licensed band at six different locations is investigated to allow the transition of secondary users (SUs) to free bands. The spectrum measurement is performed on a centralized cooperative spectrum sensing system, which consists of a master cognitive radio node and five cognitive radio stations. The measurement and simulation results for the practical system are compared with the previous related measurements obtained in Singapore, Barcelona, North Dakota (USA), and Germany. They all agree that the spectrum is underutilized, and it needs to be better utilized for increasing the spectrum efficiency. The practical results show that the newly implemented system in the 5‐GHz range fulfills the requirements of users with high efficiency and high quality of service compared to those of the 2.4‐GHz system.
Advanced Classification Techniques for Improving Networks’ Intrusion Detection System Efficiency

Abstract This research aims to enhance the accuracy and speed of the intrusion detection process by using the feature selection method to reduce the feature space dimensions that eliminate irrelevant features. Further, we employed ensemble learning in the UNSW-NB15 dataset, by using a classifier of the Stacking method, to prevent the intrusion detection system (IDS) from becoming archaic, to adjust it with a modern attack resistance feature, and to make it less costly. We used logistic regression as a meta-classifier and combined random forests, sequential minimal optimization (SMO), and naïve Bayes methods. Our approach allowed us to achieve 97.88% accuracy in intrusion detection.
Novel Variants of Avian Paramyxoviruses 13 in Wild Migratory Waterfowl Reveals 2 Low Evolutionary Rate

Avian paramyxovirus 13 (APMV-13), formerly known as Avian orthoavulavirus 13, is found scatteredly in wild birds around the world. Although four complete genome sequences of APMV-13 had been identified since the first discovery in Japan in 2003, the information available on the genetic variation and biological characteristics of APMV-13 is still limited. In the present study, we isolated six APMV-13 strians from fecal samples of wild migratory waterfowls during annual (2013-2018) viral surveillance of wild bird populations from wetland in China. The phylogenetic analyses showed that they had very close relationship in HN and F genes. The molecular clock estimations also showed a low evolutionary rate of APMV-13. However, there are obvious sequence differences among these strains. Bean goose/Hubei/V97-1/2015 is 1,953 nt in size (ORF, 1, 776 nt), which is a unique size and longer than other reported APMV-13 strians. Additionally, Swan goose/Hubei/VI49-1/2016 has four repeats of conserved sequences “AAAAAT” in the 5’-end trailer, which is unprecedented in the APMV-13. These findings reveal the existence of novel variants within APMV-13, which highlights the importance of continuous monitoring the specific species of APMVs.
Use of plants by Myzus persicae in agroecosystems: Potential applications in conservation biological control

Myzus persicae (Sulzer) is a highly polyphagous aphid species that attacks several economically important crop plants. Here, trophic webs involving M. persicae, its host plants and its parasitoids were described and quantified in wheat, oat and alfalfa agroecosystems from central Argentina, with special emphasis on the sub‐habitats where interactions occur: crops and adjacent field margins. Three fields cultivated with each crop species and their margins were sampled during three years; aphid abundance and mummification percentage were compared among crop plants and the diverse natural vegetation in the borders. Interactions were described using a quantitative food web approach, and abundance and mummification percentage e data were analysed using a generalized linear model. Four plant species present in the borders (Capsella bursa‐pastori, Rapistrum sp., Melilotus sp. and Trifolium repens) hosted M. persicae and its parasitoids. The alfalfa agroecosystem produced a significantly higher number of aphids than oat and wheat; however, in all cases, crops and borders sustained similar aphid abundance. A total of six Aphidiinae species attacked M. persicae, with no significant differences in the richness of parasitoid species between the borders and the crops, but with significant differences in parasitoid abundance, being higher in the crops. Mummification percentage were higher in crops than in the borders, with Lysiphlebus testaceipes, Aphidius colemani and A. ervi being the most abundant species. Almost 70% of M. persicae individuals were collected from fields borders, which highlights the importance of including these sites in studies of trophic interactions in crop fields.
Vehicular Crowdsourcing for Congestion Support in Smart Cities

Under present-day practices, the vehicles on our roadways and city streets are mere spectators that witness traffic-related events without being able to participate in the mitigation of their effect. This paper lays the theoretical foundations of a framework for harnessing the on-board computational resources in vehicles stuck in urban congestion in order to assist transportation agencies with preventing or dissipating congestion through large-scale signal re-timing. Our framework is called VACCS: Vehicular Crowdsourcing for Congestion Support in Smart Cities. What makes this framework unique is that we suggest that in such situations the vehicles have the potential to cooperate with various transportation authorities to solve problems that otherwise would either take an inordinate amount of time to solve or cannot be solved for lack for adequate municipal resources. VACCS offers direct benefits to both the driving public and the Smart City. By developing timing plans that respond to current traffic conditions, overall traffic flow will improve, carbon emissions will be reduced, and economic impacts of congestion on citizens and businesses will be lessened. It is expected that drivers will be willing to donate under-utilized on-board computing resources in their vehicles to develop improved signal timing plans in return for the direct benefits of time savings and reduced fuel consumption costs. VACCS allows the Smart City to dynamically respond to traffic conditions while simultaneously reducing investments in the computational resources that would be required for traditional adaptive traffic signal control systems.
Modeling pedestrian group behavior in crowd evacuations

Many models have been developed in recent years to describe pedestrian group behavior. Most prior research on group behavior focuses mainly on small groups and does not provide a general approach for grouping pedestrians with respect to different group sizes. They also analyze pedestrian group dynamics in normal circumstances. However, people's reactions who are aware of an emergency are not the same as how they respond to normal or usual situations. The central focus of this paper is to study pedestrian group behavior during evacuation. To accomplish these objectives, a new model is proposed with some extensions of a social force model in its emergency context. The new extensions are intended to simulate the single leader‐centered and group‐centered crowd behavior in emergencies. Besides small pedestrian groups, larger ones are also considered, and extensions are added in this direction. The model is calibrated using the results of an existing experimental study. Then, the model is verified by testing for the occurrence of certain emergent patterns. The results indicate that the proposed model can capture these trends. Additionally, the model is validated by comparing the simulation results with experimental results available in the literature. Also, several different evacuation scenarios are used to evaluate the proposed model. The simulation results show that leader‐centered behavior performs better than group‐centered behavior with respect to the evacuation time for small groups. The number of leaders also affects the evacuation time. Moreover, an increase in the number of leaders positively influences the effect of the width of the door on evacuation time, but the size of this effect depends on the number of leaders. Finally, group‐centered behavior results in less evacuation time than leader‐centered behavior in the presence of multiple exits, and leader‐centered (also called single leader‐centered in this study) behavior causes a more unbalanced use of the exits than group‐centered behavior.
Global patterns of offshore wind variability

Using the 40-year hourly gridded ERA5 reanalysis, we study the offshore patterns of wind variability using the probability density function (PDF) and the power spectral density (PSD). To summarize wind variability, we compute the Weibull parameters from the PDF and the PSD for six spectral bands: interannual, annual, multimonth, storm, diurnal, and semidiurnal. We characterize the storm spectral peak using a Gaussian function in log 10 frequency space. These parameters are plotted along two pole-to-pole transects through the Atlantic Ocean at 25 (cid:1) W and the Pacific Ocean at 170 (cid:1) W longitude and at 16 current and proposed offshore wind sites. We test the idea that coastal and open-ocean wind statistics may be described by a single set of meridional profiles. In the storm band variance exceeding 20 m 2 s − 2 The Weibull shape parameter is close to k = 2. The storm interval varies from 4 to 7days depending on location. In the Northern Hemisphere only, the annual variance is significant, exceeding 3m 2 s − 2 . In the equatorial region, we find steadier winds with small storm variance less than 3m 2 s − 2 . The Weibull shape parameter is k =4 or greater, suggesting the possibility of a high capacity factor there. The storm interval can exceed 15days. The equatorial zone has an annual wind variance reaching 2m 2 s − 2 , comparable to the storm variance. In the tropical Pacific, we find interannual variance associated with El Niño-Southern Oscillation (ENSO). Semidiurnal variance is detected in the tropics from the atmospheric tide.
Availability, accessibility, effectiveness, safety, and cost-utility of mechanical thrombectomy for ischaemic stroke in Latin American countries, a systematic review protocol

Introduction. Stroke is a significant cause of death and disability in Latin American countries. Intravenous recombinant tissue-plasminogen activator is the standard of treatment during the first 4.5 hours since stroke onset; however, a significant proportion of patients remain untreated due to late hospital arrival. Mechanical thrombectomy (MT) revolutionised stroke care by increasing the treatment window period up to 24 hours in eligible patients. Reports from Latin American countries describing the use of MT have been published, but no systematic review approach has evaluated MT in the region. Therefore, we present a systematic review protocol to assess the availability, accessibility, effectiveness, safety, and cost-utility of MT in Latin America. Material and methods. Randomised and non-randomised trials will be identified in CINAHL, MEDLINE, Web of Science, SciELO, EMBASE, and LILACS databases. Grey literature sources and clinical trial registries will be consulted. The approval of MT in the American Stroke Association was published in 2015; thus, the study search will be limited to papers published from 2015. The literature search will be conducted from February 1st, 2021, to March 31st, 2021. Additional search strategies will include citation tracking using Google Scholar and Web of Science and reference list check of the included articles. If necessary, authors from studies will be contacted for further data. Results. The results will be presented following the synthesis without meta-analysis (SWIM) guidelines. Conclusions. The results of this systematic review may be helpful for clinicians, policymakers, and stakeholders in the region.