Miracle-dz/UniFAR-FTUs huggingface dataset:
Electrochemical Oxidation and Molecular Docking Studies of Leaves Extract of Lemon Verbena and Flowers Extract of Echium Amoenum: Green Antidotes for Treatment of Barbiturate Poisoning

Electrochemical oxidation of leaves extract of lemon verbena and the flowers extract of echium amoenum have been studied in the absence and presence of barbituric acid and 1,3 dimethyl barbituric acidin aqueous solutions and biological pH, using cyclic voltammetry method. The results showed that the electrochemically generated compounds in leaves extract of lemon verbena and the flowers extract of echium amoenum, participate in the chemical reaction with barbituric acid and 1,3 dimethyl barbituric acid. Based on our results, leaves extractof lemon verbena and the flowers extract of echium amoenum have a high antioxidant activity in comparison with galic acid, salicylic acid and quercetin as standard antioxidants and simultaneous can be useful for the treatment of barbiturate poisoning before starting clinical treatments. The antioxidant activity of luteoline and verbascoside (as the main and natural compounds in lemon verbena) against some of the reactive oxygen species (ROS) generation enzymes, Cytochrome P450 3A4 (4D75), Myeloperoxidase (1DNW) and Thyosine (3nm8) has been performed through molecular docking studies. The results indicated that these natural compounds bound exclusively to the binding site of ROS generation enzymes and has a remarkable role in suppressing the destructive effects of oxidative stress in the biological system of the human body.
Race is not prognostic in unfavorable prostate cancer: an NCDB analysis

Supplemental Digital Content is available in the text. Introduction: It is commonly held that race serves as a significant prognosticator in prostate cancer. We sought to analyze whether race impacted overall survival (OS) of men receiving standard of care treatment. Materials and Methods: All data was obtained from the NCDB (National Cancer Database) and initially contained 1,294,126 cases of prostate cancer diagnosed between 2004 and 2013. Patients were excluded if they had metastatic or nodal disease, received chemotherapy, or had noninvasive disease. Patients were grouped into 2 cohorts as per NCCN (National Comprehensive Cancer Network) criteria: favorable risk and unfavorable risk. All patients received risk-appropriate radiation therapy or surgery, and were subsequently analyzed. Black and white men were also matched 1:1 within each risk cohort using propensity scores, and multivariate analysis was conducted on these matched cohorts. Results: The final cohort 77,448 patients. Median follow-up 58.7 months (range, 48–143.5). In the favorable risk cohort, white men had superior OS compared with black men, 77.63% versus 80.57% at 10 years (hazard ratio, 0.644; 95% confidence interval, 0.536–0.773; P<0.001). In the unfavorable cohort, race was not a significant prognostic factor for OS on unmatched analysis; 10-year survival 73.6% and 71.3% (hazard ratio, 0.941; 95% confidence interval, 0.848–1.044; P=0.249), and significant interaction existed with age. Results were unchanged in propensity score matched cohorts. Conclusion: The prognostic value of race-related biological differences of prostate cancer may hold less value in higher risk disease than is commonly believed.
miR-375 Inhibits Autophagy and Further Promotes Inflammation and Apoptosis of Acinar Cells by Targeting ATG7

Objectives MicroRNAs have been considered to be closely related with the development of severe acute pancreatitis (SAP), and microRNA-375 (miR-375) was believed to be a marker of SAP. We aim to investigate the role of miR-375 in regulating SP. Methods Cerulein and lipopolysaccharide were used to establish the models of SAP. AR42J cell line was chosen for study in vitro. Flow cytometry was applied for assessing apoptosis. The contents of inflammatory factors were detected with related enzyme-linked immunosorbent assay and quantitative real-time polymerase chain reaction assays. Hematoxylin and eosin staining was applied to observe the pathological changes of pancreatic tissues. Immunohistochemistry analysis was conducted for investigating the expression of light chain 3. Results The level of miR-375 in pancreatitis tissues and cell lines was upregulated. Overexpression of miR-375 promoted inflammation and the apoptosis of acinar cells through inhibiting autophagy. The binding site between miR-375 and ATG7 was identified, and miR-375 could directly regulate the ATG7. microRNA-375 suppressed autophagy and promoted inflammation and the apoptosis of acinar cells via targeting ATG7. Conclusions We proved that miR-375 could inhibit autophagy and promote inflammation and the apoptosis of acinar cells through regulating ATG7. This study first proves that miR-375 modulates the development of SAP through targeting ATG7.
Methodology of Material Selection for Evaporator Coil in Air Conditioning System

The ever-growing demand of air conditioning system in commercial and household application's emphasis on long-term material’s stability. Material’s failure in air conditioning system due to temperature variance and heat flow causing reduction in cooling effect of the system. Considerable amount of heat waste in evaporator coil as a result of low thermal transitions through coil’s material resulting reduction in overall efficiency of the system. This paper provide a CES Granta’s design software-based approach being followed to select appropriate material for evaporator coil in air conditioning system. Cast iron, pure titanium, copper, low alloy steel, Stainless steel, and nickel-chromium alloys are the shortlisted candidate for evaporator coil based on design and functional requirements. Low alloy steel, titanium, and stainless steel are the top suitable candidate among which stainless steel shows promising attributes for evaporator coil in air conditioning system. This paper will help the researchers, engineers, and designers to better understand the methodology of selecting a stainless steel in evaporator system to control corrosion and provide hightemperature-resistance. Keywords— Material Selection, Evaporator, Granta’s Design CES software
The Phylogenetic Position of Osteina obducta (Polyporales, Basidiomycota) Based on Samples from Northern Hemisphere

Osteina obducta is a large bracket fungus growing mostly on gymnosperm wood in the northern hemisphere, especially on larch in China. It has been widely accepted as Oligoporus obductus in most publications. Six samples of Osteina obducta from Canada, China, Czech Republic, Russia and the USA were sequenced, and phylogenetic relationships among the species/genus and other brown rot species were inferred based on the ITS rDNA sequences. Osteina obducta is shown to represent a monophyletic lineage sister to Oligoporus in the Fomitopsidaceae. Osteina obducta should therefore be considered as the valid name for the species.
The Adoption of JavaScript Linters in Practice: A Case Study on ESLint

A linter is a static analysis tool that warns software developers about possible code errors or violations to coding standards. By using such a tool, errors can be surfaced early in the development process when they are cheaper to fix. For a linter to be successful, it is important to understand the needs and challenges of developers when using a linter. In this paper, we examine developers’ perceptions on JavaScript linters. We study why and how developers use linters along with the challenges they face while using such tools. For this purpose we perform a case study on ESLint, the most popular JavaScript linter. We collect data with three different methods where we interviewed 15 developers from well-known open source projects, analyzed over 9,500 ESLint configuration files, and surveyed 337 developers from the JavaScript community. Our results provide practitioners with reasons for using linters in their JavaScript projects as well as several configuration strategies and their advantages. We also provide a list of linter rules that are often enabled and disabled, which can be interpreted as the most important rules to reason about when configuring linters. Finally, we propose several feature suggestions for tool makers and future work for researchers.
Being a mother after a cancer diagnosis during pregnancy: Maternal psychosocial functioning and child cognitive development and behavior

Up to 51.5% of women diagnosed with cancer during pregnancy experience trauma (eg, intrusive thoughts, avoidance) and 20% report anxiety. Maternal anxiety can negatively affect child behavior among the noncancer population. This study aims to elucidate relationships between maternal distress, parenting style, and child behavior and development among women with cancer during pregnancy.
Mechanical Drying Influences Postharvest Quality of Turmeric Rhizomes

Proper drying of turmeric rhizomes is very important for the quality of final product. Therefore, studies were undertaken to examine the effect of different methods of drying on the physico-chemical composition and quality characteristics of turmeric rhizomes. Fresh turmeric rhizomes were subjected to drying by two different methods. In one method turmeric rhizomes were dried in open sun and in second method they were subjected to drying in mechanical dryer at 60°C. Results revealed that moisture content of samples was reduced from 82.4 to 9.2% within 29 days in sun drying method whereas it took only 3 days to dry the samples to 9.1% moisture level in mechanical dryer. Slightly higher percentages of curcumin and oleoresin were found in sun dried samples as compared to mechanical drying. Sun dried samples of turmeric were found contaminated with aflatoxin B1 (120 μg/kg), while there were no contantminats in mechanically dried samples. The results revealed that mechanical drying is better than sun drying as it achieved the desired moisture and quality within 3 days compared to 29 days in sun drying, thus saving considerable time. There was no microbiological activity detected in mechanically dried samples. Hence, mechanical drying can safely be adopted for turmeric drying at commercial level.
HIV risk in partners of migrants and residents in Rakai, Uganda: an observational cohort study

ii Acknowledgements . iv List of tables . vii List of figures . vi
How to Explain Your Black-Box Models in SAS ® Viya ®

SAS ® Visual Data Mining and Machine Learning in SAS ® Viya ® offers a number of algorithms for training powerful predictive models, such as gradient boosting, forest, and deep learning models. Although these models are powerful, they are often too complex for people to understand by directly inspecting the model par ameters. The “black - box” nature of these models limits their use in highly regulated industries such as banking, insurance, and health care. This paper introduces various model-agnostic interpretability techniques available in SAS Viya that enable you to explain and understand machine learning models. Methods include partial dependency (PD) plots, independent conditional expectation (ICE) plots, local interpretable model-agnostic explanations (LIME), and Shapley values. This paper introduces these methods and demonstrates their use in two scenarios: a business-centered modeling task and a health-care modeling task. Also shown are the two different interfaces to these methods in SAS Viya: Model Studio and the SAS Viya programming interface.
Path Planning on Road Network by Caching

: In road network navigation services, path planning is a basic function, which finds a route between the given source and destination. In case of mobile users on road, they face various dynamic situations, like unstable GPS signals, abrupt change in driving direction and unexpected traffic conditions. In these scenarios, the path planning service needs to provide its outcome as early as possible. This paper proposes a system, namely, Cache Based Path Planning (CBPP), which provide result to new path planning query efficiently by fully utilizing previous historical queried-paths. CBPP utilizes the partially matched queries to answer sub parts of the new query. Hence, the server only needs to compute the paths for unmatched path segments of the query, thus reduces the overall workload of the system. This system decreases almosty30% of the computation cost on average.
Understanding Responses to Stimuli (Emotions) using Brainwaves in Order to Regulate them and Utilize the Data to Develop Intelligent Machines

: This is a review paper based on research papers written by various authors. The topics and/or themes discussed in this review paper belong to a currently very active field of research, known as the ARTIFICIAL INTELLIGENCE. Most of the major tech companies are focusing in this arena, and trying to develop even more intelligent machines. Ages ago, the abacus was invented which assisted in mathematical calculation. Further, the calculators were invented which could solve massive amounts of calculations in a very short span of time. Then the digitization happened. And the computers were invented, which not only helped in computing math, but assisted in a lot of things as well. And people, since a very long time, have been trying to improve the machines. Their responses, computation rate and capabilities. And thus, work has been continuously carried out, since a very long time, to construct intelligent machines. Allan Turing is said, to have constructed the first intelligent machine during the world war. And since then, it has been an area of constant and rigorous research to make the machines more intelligent, so that they can ease our work as well as daily routine. This review discusses five research papers, based on Neural Networks, Brain Computer Interface, Brainwaves and Artificial Intelligence. This review discusses the methods used by the authors of the research papers, and how those methods might or might not help, in an ongoing research which discusses the possibilities of integrating emotions of a person into a machine, and accordingly the performance of the machine on its own, without human interference in certain situations and cases. This review discusses the pros and cons of the research papers, and the improvements which are either available already, or which can be implemented, to obtain better results and ease as well as fasten the advancements in the field.
The Confounding Effect of Population Structure on Bayesian Skyline Plot Inferences of Demographic History

Many coalescent-based methods aiming to infer the demographic history of populations assume a single, isolated and panmictic population (i.e. a Wright-Fisher model). While this assumption may be reasonable under many conditions, several recent studies have shown that the results can be misleading when it is violated. Among the most widely applied demographic inference methods are Bayesian skyline plots (BSPs), which are used across a range of biological fields. Violations of the panmixia assumption are to be expected in many biological systems, but the consequences for skyline plot inferences have so far not been addressed and quantified. We simulated DNA sequence data under a variety of scenarios involving structured populations with variable levels of gene flow and analysed them using BSPs as implemented in the software package BEAST. Results revealed that BSPs can show false signals of population decline under biologically plausible combinations of population structure and sampling strategy, suggesting that the interpretation of several previous studies may need to be re-evaluated. We found that a balanced sampling strategy whereby samples are distributed on several populations provides the best scheme for inferring demographic change over a typical time scale. Analyses of data from a structured African buffalo population demonstrate how BSP results can be strengthened by simulations. We recommend that sample selection should be carefully considered in relation to population structure previous to BSP analyses, and that alternative scenarios should be evaluated when interpreting signals of population size change.
Variable Selection Using Random Forests in SAS ®

Random forests are an increasingly popular statistical method of classification and regression. The method was introduced by Leo Breiman in 2001. A good prediction model begins with a great feature selection process. This paper proposes the ways of selecting important variables to be included in the model using random forests. The variables to be included in the model are indexed or ranked according to the score of importance of each variable. The comparison of performance between random forest models (variables selected by the random forest method) and logistic regression models (variables selected by the stepwise method) is demonstrated.
Potential Mechanism for the Elimination of Suicide Attempts by Modified Electroconvulsive Therapy in Drug-naive Patients with Suicidal Depressive Episode: A Pilot Study Report

Background:Modified electroconvulsive therapy (MECT) can rapidly eliminate suicide attempts in patients with suicidal depression. However, no study has investigated the neural mechanisms by which MECT eliminates suicide attempts. Currently, we conducted a study to explore the potential mechanisms by which MECT eliminates suicide attempts in patients with suicidal depressive episodes. Methods:Four drug-naive patients with suicidal depressive episode underwent structural and resting-state functional magnetic resonance imaging scanning before and after MECT treatment. The voxel-based morphometry (VBM) and functional connectivity density mapping(FCDM) methods were used to analyze the imaging data. The gray matter volume (GMV) and resting-state global functional connectivity density (rs-gFCD) were used to evaluate the structural and functional alterations, respectively, that occurred subsequent to MECT. Results:The VBM analysis revealed that MECT induced a GMV increase that was primarily localized to the left dorsolateral prefrontal cortex and bilateral thalamus. The FCDM analysis revealed that MECT induced an rs-gFCD decrease that was mainly localized in the left medial superior frontal gyrus and bilateral orbitofrontal cortex. No overlap existed between brain regions that exhibited structural and functional alterations. Conclusion:The structural and functional alterations subsequent to MECT were mainly located in the brain regions that are related to the suicide attempts in suicidal depressive patients. The brain regions that exhibited structural alterations did not overlap with those that exhibited functional alterations, which suggests that the structural and functional alterations contributed independently to the efficacy of MECT in the elimination of suicide attempts in patients with suicidal depression
Human enterovirus A71 (EV-A71) isolated from acute flaccid paralysis patients without symptoms of hand foot and mouth disease

Background: Human enterovirus A-71 (EV-A71) is one of the causative agents for hand, foot, and mouth disease (HFMD). It is also reported to cause acute flaccid paralysis (AFP) during HFMD outbreaks and very rare to isolate them from non-HFMD cases. Materials and Methods: A total of 2809 stool samples from AFP cases were cultured on RD and L20B cells. Positive on L20B was screened for poliovirus and those only positive on RD were subjected to non-polio EV (NPEV) screening by real-time polymerase chain reaction. Phylogenetic analysis using VP1 and VP4 gene was constructed. Results: A total of 74 EVs were isolated, 61 were NPEV and 13 were poliovirus Sabin like. The NPEVs were identified as coxsackieviruses, echoviruses, and EV-A71. Phylogenetic analysis showed that this EV-A71 belong to subgenogroup B5. Conclusions: The discovery of EV-A71 which caused AFP in patients but not related or associated with HFMD outbreaks showed that this virus could circulate independently. It should be investigated thoroughly as their ability to cause paralysis on the eradication of polio.
Performance of Broilers Fed Diets Containing Wet or Sun Dried Fermented Mixture of Grated Cassava Roots and Palm Kernel Cake as Replacement for Maize

The cost and effectiveness of drying processes have often limited the incorporation of solid state fermented agro by-products into poultry feeding programs. In this study, the efficacy of replacing maize with wet or sundried solid state fermented mixture of grated cassava root meal and palm kernel cake (FEMCARPP) was evaluated. 120 three weeks old broiler chickens were randomly allotted to four treatment diets replicated 3 times with 10 birds per replicate. The maize in control diet (T1) was replaced with either of wet, dry FEMCARPP or a 1:1 mixture of cassava meal and palm kernel cake (CSM-PKC) in treatments T2, T3 and T4 respectively. Performance data was collected on the live weight, weight gain and feed conversion efficiency. Though the chicks fed wet FEMCARPP had lower live weight gains and feed intake (p<0.05), their feed conversion ratio was similar (p>0.05) to the control and other treatment groups. Cost of feed per kg weight gained was best among chicks fed wet FEMCARPP suggesting that feeding broilers with solid state fermented mixture of grated cassava and palm kernel cake to broiler finishers without further processing such as sun drying would be effective in replacing maize in broilers diets.
EFFECTS OF INTERNAL FLAWS IN STATIC AND DYNAMIC BEHAVIOR OF COMPOSITE PLATES

يكيتاتسلاا كولسلا ةساردل ةددحملا رصانعلا ةيرظن تمدختسا ) تاحازلاا ( يكيمانيدلا كولسلاو ،رحلا زازتهلاا ، مادختساب كلذو بيعلا دوجو مدعو دوجوب ةبآرملا حئافصلل Higher .Order Shear Deformation Theory (HOST7) . ناديدج ناجذومن حارتقا مت بيعلا ليثمتل صلا يف حئاف رملا ققَ ه بآرملا ه . ةحرتقملا جذامنلا تققد لكشب صلل يِعيبطلا ددرتلا سايقب يبيرجت ةحيف نودبو عم لا بيع تممص ةحيفصلا هذه ، و لامعتساب تئيّهُ فايللأا جِنتارو ةِيجاجزلا epoxy . ةيولعلا تاقبطلا يف بيعلا نوكي امدنع ددرتلا لقي امنيب دادزت ةحازلإا نأ ،جئاتنلا تنيب ةيلفسلاو . آ يعيبطلا ددرتلا ليلقتو فارحنا ىصقأ ةميق ةدايز ىلإ بيعلا ةحاسم ةدايز يدؤت كلذ . ترهظأ جئاتنلا يددعلا لحلاو يلمعلا لحلا جئاتن ةنراقم دنع ديج قفاوت .
Method of Automatic Parking of a Car - Theoretical Considerations and Simulation Studies

: The paper is concerned with the problem of automatic parking of a car. Current state of the art in self-driving cars and methods of automatic parking were discussed. For simulation studies, the kinematic bicycle model of the vehicle was assumed. A method of solving the problem of automatic parking was proposed. The idea of this method consists in planning characteristic poses of the vehicle and realization of motion between these poses using pose controller. Results of simulation research were presented and discussed, which confirmed the correctness of the approach.