Miracle-dz/UniFAR-FTUs huggingface dataset:
ARCHIVES OF THE TURKISH SOCIETY OF CARDIOLOGY

Background: The coronavirus disease 2019 infection is a global pandemic that has affected the whole world population. We aimed to evaluate the prognostic role of cross-sectional area, muscle index, and muscle attenuation values in computed tomography-based skeletal groups [erector spinae muscle, pectoralis muscle, and total skeletal muscle] of patients hospitalized for coronavirus disease 2019 and with at least 1 cardiovascular risk factor. Methods: A total of 232 patients with coronavirus disease 2019 and at least 1 cardiovascular risk factor were enrolled in the study, retrospectively. The cross-sectional area, muscle index, and attenuation of erector spine muscle, pectoralis muscle, and total skeletal muscle were automatically measured on computed tomography images. The study population was assigned into tertiles on the basis of the total SMcsa index. The relationship between the values obtained and the length of hospital stay, admission to intensive care unit, the need for invasive mechanical ventilation, and mortality was investigated. Results: Admission to intensive care unit, need for invasive mechanical ventilation, and mortality were higher at tertile 3 groups than in the other groups (all P values <.001). Statistically, all muscle measurements were significantly lower in tertile 3 (P <.001). Diabetes mellitus, hypertension, and total SMcsa index were predictors of in-hospital mortality in patients with coronavirus disease 2019 on the basis of Cox regression analysis. In the Kaplan–Meier analysis for the proportion of survivors relative to the total SMcsa index, tertile 3 had the highest mortality (survival rates 57%, P < .001). Conclusions: Sarcopenia and attendant cardiovascular comorbidities can effectively assess disease severity and predict outcome in patients with coronavirus disease 2019.
Visualization of oil cells and preservation during drying of betel leaf (piper betel) using hot-stage microscopy

Abstract Piper betel, a well-known and widely used herb of tropical Asiatic countries, contain several bioactive constituents that possess therapeutic uses and health-promoting properties. The postharvest losses of 35% to 70% are reported due to biomass spoilage, fungal infections and dechlorophyllations. Controlled dehydration to retain the oils in the natural cellular matrix for further extraction is a potential solution for these avoidable postharvest losses. Therefore, the present investigation was undertaken to determine the impact of dehydration on microstructural changes, shrinkage and swelling of the cellular matrix, retention of oil reserves/glands, and implications for extraction yield. The betel leaf samples were dehydrated at 40, 50 and 60 °C using a hot-stage under a microscope to report microstructural changes. The moisture balance instrument was deployed to determine the drying rate at the macro level, and separately hot air drying was conducted to elucidate the drying of bulk betel leaves and its impact on oil retention. Visual inspection during dehydration gave an insight into the preservation of the oil cells/reserves. The result indicated that oil cells/reserves in the epidermal layer and traverse section of the petiole were protected and preserved during dehydration at 40 to 50 °C and were ruptured at 60 °C. The same was reflected through the yields and composition of the extracts obtained by Supercritical fluid extraction.
Data Fusion in Agriculture: Resolving Ambiguities and Closing Data Gaps

Acquiring useful data from agricultural areas has always been somewhat of a challenge, as these are often expansive, remote, and vulnerable to weather events. Despite these challenges, as technologies evolve and prices drop, a surge of new data are being collected. Although a wealth of data are being collected at different scales (i.e., proximal, aerial, satellite, ancillary data), this has been geographically unequal, causing certain areas to be virtually devoid of useful data to help face their specific challenges. However, even in areas with available resources and good infrastructure, data and knowledge gaps are still prevalent, because agricultural environments are mostly uncontrolled and there are vast numbers of factors that need to be taken into account and properly measured for a full characterization of a given area. As a result, data from a single sensor type are frequently unable to provide unambiguous answers, even with very effective algorithms, and even if the problem at hand is well defined and limited in scope. Fusing the information contained in different sensors and in data from different types is one possible solution that has been explored for some decades. The idea behind data fusion involves exploring complementarities and synergies of different kinds of data in order to extract more reliable and useful information about the areas being analyzed. While some success has been achieved, there are still many challenges that prevent a more widespread adoption of this type of approach. This is particularly true for the highly complex environments found in agricultural areas. In this article, we provide a comprehensive overview on the data fusion applied to agricultural problems; we present the main successes, highlight the main challenges that remain, and suggest possible directions for future research.
Short-Term Electricity Load Forecasting Model Based DSARIMA

Forecasting short-term electrical load is very important so that the quality of the electrical power supplied can be maintained properly. The study was conducted to measure the results of electrical load forecasting based on parameter estimates and the presentation of time series data. It is important to manage stationary data, both in terms of mean and variance. Data presentation is done by determining the value of variance through the Box-Cox transformation method and the mean value based on the ACF and PACF plots. This study considers the pattern of electricity consumption which contains double seasonal patterns. The results of previous studies show the electric power prediction model, the DSARIMA model with a MAPE of 2.06%. The condition of the model used to predict the electrical load still has a tendency not to be normally distributed and it is estimated that there are outliers. Improvements to the AR and MA parameters that meet the standard error tolerance value of 5 percent are increased in this study. The results showed improvement of parameters to predict electrical load with DSARIMA model. The significance of this study was obtained by the MAPE value of 1.56 percent when compared to the actual data.
Theoretical Characterization of the Step-by-Step Mechanism of Conversion of Leukotriene A4 to Leukotriene B4 Catalysed by the Enzyme Leukotriene A4 Hydrolase

LTA4H is a bifunctional zinc metalloenzyme that converts leukotriene A4 (LTA4) into leukotriene B4 (LTB4), one of the most potent chemotactic agents involved in acute and chronic inflammatory diseases. In this reaction, LTA4H acts as an epoxide hydrolase with a unique and fascinating mechanism, which includes the stereoselective attachment of one water molecule to the carbon backbone of LTA4 several methylene units away from the epoxide moiety. By combining Molecular Dynamics simulations and Quantum Mechanics/Molecular Mechanics calculations, we obtained a very detailed molecular picture of the different consecutive steps of that mechanism. By means of a rather unusual 1,7-nucleophilic substitution through a clear SN1 mechanism, the epoxide opens and the triene moiety of the substrate twists in such a way that the bond C6-C7 adopts its cis (Z) configuration, thus exposing the R face of C12 to the addition of a water molecule hydrogen-bonded to ASP375. Thus, the two stereochemical features that are required for the bioactivity of LTB4 appear to be closely related. The noncovalent π-π stacking interactions between the triene moiety and two tyrosines (TYR267 and, especially, TYR378) that wrap the triene system along the whole reaction explain the preference for the cis configuration inside LTA4H.
A Comparison of Bioactive Metabolites, Antinutrients, and Bioactivities of African Pumpkin Leaves (Momordica balsamina L.) Cooked by Different Culinary Techniques

Prior to consumption, African pumpkin leaves (Momordica balsamina L.) are generally cooked. In this study, the effects of common household cooking methods (boiling, steaming, microwaving, stir-frying) on bioactive metabolites, carotenoids, antioxidant activity, antinutrients and inhibitory effects on α-glucosidase and α-amylase activities were examined. A set of 14 bioactive metabolites were identified in raw and cooked African leaves using UPLC-QTOF/MS. The results showed that the four different types of household cooking methods had different effects on the bioactive metabolomics profile of African pumpkin leaves. In comparison to raw leaves and leaves cooked in other methods, the concentrations of six phenolic compounds, rutin, cryptochlorogenic acid (4-caffeoylquinic acid), pseudolaroside A, isorhamnetin 3-O-robinoside, quercetin 3-galactoside, and trans-4-feruloylquinic acid, were highest in stir-fried leaves. Of all household cooking methods tested, stir-frying increased the content of lutein, β-carotene, and zeaxanthin by 60.00%, 146.15%, and 123.51%, respectively. Moreover, stir-frying African pumpkin leaves increased the antioxidant activity (DPPH and ABTS) and the inhibition of α-glucosidase and α-amylase. Compared to all four methods of household cooking, stir-frying reduced the antinutritive compounds compared to raw leaves. This work provides useful information to the consumers on the selection of suitable cooking methods for African pumpkin leaves.
Copper-Free Halodediazoniation of Arenediazonium Tetrafluoroborates in Deep Eutectic Solvents-like Mixtures

Deep Eutectic Solvent (DES)-like mixtures, based on glycerol and different halide organic and inorganic salts, are successfully exploited as new media in copper-free halodediazoniation of arenediazonium salts. The reactions are carried out in absence of metal-based catalysts, at room temperature and in a short time. Pure target products are obtained without the need for chromatographic separation. The solvents are fully characterized, and a computational study is presented aiming to understand the reaction mechanism.
Breast Cancer Phenotype Associated With Li-Fraumeni Syndrome: A Brazilian Cohort Enriched by TP53 p.R337H Carriers

Breast cancer (BC) is the most prevalent malignancy in women with Li-Fraumeni syndrome (LFS). The literature on BC in LFS is limited due to its rarity worldwide. A TP53 founder pathogenic variant (c.1010G>A; p.R337H) is responsible for the higher prevalence of this syndrome among women of Brazilian ancestry. Purpose The aim of the study was to describe the BC phenotype expressed by Brazilian female LFS carriers and compare the data between p.R337H and other TP53 germline pathogenic/likely pathogenic variants (non-p.R337H carriers). Methods We searched for cases of TP53 germline pathogenic/likely pathogenic variant carriers affected by BC included between 2015 and 2020 in the BLiSS (Brazilian Li-Fraumeni Study) registry at the Sírio-Libanês Hospital. Results Among 163 adult female carriers from the registry, 91 (56%) had received a BC diagnosis, including 72 p.R337H carriers. BC was the first cancer diagnosed in 90% of cases. Early onset BC (age ≤45 years) was diagnosed in 78.2% of cases (11.5% <31 years; 66.7% 31–45 years; 21.8% >45 years). The median age of BC diagnosis for p.R337H carriers was 39.5 years (range 20–69 years) compared to 34 years (range 21–63 years) for non-p.R337H carriers (p = 0.009). In total, 104 breast tumors were observed in 87 women. Bilateral BC was observed in 29.3% of cases. Histology was available for 96 tumors, comprising 69 invasive breast carcinomas, which were mostly invasive ductal carcinomas (95.6%), 25 ductal in situ carcinomas and 2 soft-tissue sarcomas. Overall, 90.5% of invasive breast carcinomas were hormone receptor (HR)-positive, 39.5% were human epidermal growth factor receptor 2 (HER2)-positive, and 32.8% showed HR and HER2 co-expression. In addition, 55.4% of patients opted for contralateral prophylactic mastectomy after a first BC diagnosis. There were no significant differences in the risk of developing contralateral BC or in the immunohistochemical profile between p.R337H and non-p.R337H groups. Conclusions The expressed phenotype of p.R337H is similar to that of other TP53 pathogenic/likely pathogenic variants, except for an average older age at the onset of disease; however, this is still younger than the general population.
Demand management for attended home delivery - A literature review

Given the continuing e-commerce boom, the design of eﬃcient and effective home delivery services is increasingly relevant. From a logistics perspective, attended home delivery, which requires the customer to be present when the purchased goods are delivered, is particularly challenging. To facilitate the delivery, the service provider and the customer typically agree on a speciﬁc time window for service. In designing the service offering, service providers face complex trade-offs between customer preferences and proﬁtable service execution. In this paper, we map these trade-offs to different planning levels and demand management levers, and structure and synthesize corresponding literature according to different demand management decisions. Finally, we highlight research gaps and future research directions and discuss the linkage of the different planning levels.
Effect of Water Depth on Heart Rate and Core Temperature During Underwater Treadmill Walking

Exercising using an underwater treadmill (UTM) has become a popular modality; however, few studies have focused on the physiological demands of UTM walking at varying water depths. Thus, the objective of this study was to investigate changes in heart rate (HR) and core temperature (CT) values in college-aged males and females while exercising at different water immersion depths using an UTM. Twenty participants (age = 21.50 ± 2.19 years; height = 169.04 ± 10.85cm; weight = 75.56 ± 22.28kg) walked at water depths of 10cm below the xiphoid process and at the level of the superior iliac crest (I.C.). Each UTM session lasted 15 minutes, consisting of 5-minute bouts at 1, 2, and 3 mph. Polar HR monitors and ingestible thermoregulatory pills were used to measure HR and CT. Results indicated that HR at 1 (p = .305) and 2 mph (p = .864) were not significantly different between water depths. Heart rate was significantly higher at 3 mph (p = .003) at the I.C. water level. No significant differences were found in CT at 1 (p = .919), 2 (p = .392), or 3 mph (p = .310) during either immersion depth. As a result, higher immersion depths resulted in a lower average HR during higher intensity exercise due to the increased buoyancy effects and the reduced gravity environment of the water. Thus, exercising in higher immersion depths allows participants to exercise at a higher intensity with less overall stress placed on the lower extremities.
EFFECTS OF THE ACROBATIC PROGRAM ON THE BODY COMPOSITION AND FLEXIBILITY OF ADOLESCENTS

The aim of the research was to determine the effects of acrobatics programs (ground floor and skipping) on the body composition and flexibility of adolescents. The sample consisted of 50 male adolescents, seventh grade students of the elementary school "Bubanjski Heroji" in Niš, aged 14 years ± 6 months. The experimental group (n = 25) conducted 2 x 45 min per week experimental acrobatics program (ground floor and skipping) The control group (n = 25) continued with the program of regular physical education classes (handball and volleyball) 2 x 45 min per week. The results of the study showed positive changes in body composition: BMI, %MAT, %MIT and flexibility: PLNL, RANL, ISKP caused by the acrobatics program. Based on these results, it can be concluded that the experimental program of acrobatics lasting 16 weeks is an effective method that leads to a statistically significant improvement in body composition and flexibility of adolescents.
Dimensions of Athlete-Coach Relationship and Sport Anxiety as Predictors of the Changes in Psychomotor and Motivational Welfare of Child Athletes after the Implementation of the Psychological Workshops for Coaches

(1) Background: Coach workshops based on seven principles (inspiration, explanation, expectation, support, reward, appreciation, growth, and winning) enhance the sport experience of adult athletes. Here, we report effects of such workshops with coaches of child athletes and the predictors of those changes. (2) Methods: Study participants were 8 coaches of 57 children aged between 9 and 12 years old (girls practicing gymnastics and boys practicing football). Three coaches of 28 children attended three workshops over 12 weeks, while a control group of 5 coaches of 29 children attended no workshops. Measures of motivation, relationships, anxiety, and psychomotor performance were taken on children before and after the intervention. (3) Results: There were significant effects of the workshop on motivation and psychomotor performance. The analysis of the predictors the intervention used in this study might be effective for enhancing psychomotor performance and motivation while considering components of Athlete-Coach relationship and anxiety levels as moderators. (4) Conclusions: The beneficial effects of the workshop are encouraging but need to be investigated with higher numbers of coaches and children from various sport disciplines.
Determining Factors of Motivational Dimensions (Childhood Personality and Workplace Competition Attitudes)

During the course of personality development, a child’s personality is constantly changing. Adult character traits are a result of these changes. Characteristics such as motivation, conscientiousness, diligence, work capacity and cooperativeness, change and develop throughout the years. A competitive attitude is one of the important qualities in later work-life, the way the employee relates to competitive situations within the organization and what their opinions on these situations are. The present study is the result of research carried out by the authors aiming to examine the correlations between childhood personality traits and later attitudes to workplace competition. The results show that the individual players’ attitude, has an effect on workplace performance and whether the person is result-driven, and that home life, including familial expectations, also influences the introand extroversive direction of personality development.
Antecedents of Pro-Environmental Behaviors: A Study on Green Consumption in an Emerging Market

Green consumption such as buying green food, purchasing eco-label products, purchasing recycled products, or zero-wasted shopping is becoming more common in developing countries. The paper, using value theory, identity theory and self-regulation theory, aims to develop and validate an integrative theoretical model that explain consumer willingness to pay and purchase behavior. A cross-sectional survey with PLS-SEM analysis of 279 individual consumers in green consumption in Dalat, Vietnam, reports that 14 of 15 hypotheses are empirically supported. The findings affirm the influence of value orientation (egoistic, altruistic and biospheric value), on self-regulation (self-efficacy and outcome expectation) through environmental identity. This is also one of the first, with the mediating role of self-regulation between identity and behavior, to provide a new lens of value–identity-self-regulation as an insightful alternative to both the traditional perspective of value–belief-norm and the emerging perspective of value-identity-norm in determining pro-environmental behavior.
Biomarkers and Genetic Markers of Hepatocellular Carcinoma and Cholangiocarcinoma—What Do We Already Know

Simple Summary Hepatocellular carcinoma and cholangiocarcinoma continue to remain a serious threat. In this review, we describe the most common biomarkers and genetic markers currently used in the diagnosis of hepatocellular carcinoma and cholangiocarcinoma. It can be observed that biomarkers and genetic markers might be applied in various parts of diagnosis including screening tests in a high-risk group, non-invasive detection, control of therapy, treatment selection, and control of recurrence. Also, it can be seen that nowadays there is a need for more specific markers that would improve the detection in early or very early stages of both types of cancers and further research should be focused on it. Abstract Hepatocellular carcinoma (HCC) is the most common primary liver cancer with an increasing worldwide mortality rate. Cholangiocarcinoma (CCA) is the second most common primary liver cancer. In both types of cancers, early detection is very important. Biomarkers are a relevant part of diagnosis, enabling non-invasive detection and control of cancer recurrence, as well as in the application of screening tests in high-risk groups. Furthermore, some of these biomarkers are useful in controlling therapy and treatment selection. Detection of some markers presents higher sensitivity and specificity in combination with other markers when compared with a single detection. Some gene aberrations are also prognostic markers in the two types of cancers. In the following review, we discuss the most common biomarkers and genetic markers currently being used in the diagnosis of hepatocellular carcinoma and cholangiocarcinoma.
Application of SVM to power system short-term load forecast

The statistics learning method of SVM ( Support Vector Machines ) is introduced to short-term load forecast of power system.Sample data is constituted by filtering the historical data through clustering method.The object function considers both the fitness of prediction and error loss function.The large-scale optimization problem is solved by LIBSVM method.Corresponding software was developed and used to forecast the short-term load of a practical power system ,and the final forecast error is low.
Understanding the Impact of Social Networks on ESL Proficiency

Given the importance of English for academic success and socio- economic mobility in Pakistan, proficiency in English as a Second language (ESL) is a necessity for Pakistani learners who aspire for better employability, social mobility, and academic success. However, despite the importance of comprehensible input in L2 for language learners’ progression, most Pakistani ESL learners have limited L2 exposure or opportunities to develop their L2 skills, particularly in their home networks wherein the use of Urdu or regional languages is favored. Adopting the theoretical lens of Milroy's social network theory (1987), this study investigates how Pakistani ESL learners’ social networks comprising family members, friends and peers promote or hinder their L2 learning. The data for the study was collected through questionnaires and interviews implemented with BS undergraduate ESL learners at a Pakistani university. This study finds that participants with weak and multiplex ties are more likely to make gains in L2 proficiency. In contrast, strong and uniplex ties hinders Pakistani ESL learners from improving their L2 proficiency as the learners tend to predominantly use Urdu or regional languages when communicating within such networks. Based on these findings, it is argued that social networks can be leveraged by ESL learners to gain exposure to English and opportunities for L2 learning.