Miracle-dz/UniFAR-FTUs huggingface dataset:
Prospection of antiviral compounds from forest plants under ongoing SARS-COV-2 pandemic

The COVID-19 pandemic is due to the spread of SARS-CoV-2, a virulent infectious coronavirus which created severe threats to the public health systems and global socioeconomic impact. It spreads over 221 countries and territories around the world and has reported a total of 130,954,934 confirmed cases with a death toll of 2,853,007. An indepth understanding of SARS-CoV-2 virus in terms of structure, variants, mechanism of infection, spread and impacts is needed to develop strategies to eradicate it. It is the condition that, India is facing second wave of SARS-CoV-2 spread in major cities like Mumbai, Delhi and Chennai. Since historic epidemics, most of the antiviral medicines are mainly developed based on medicinal plants with the aid of ethnobotanical records. Conventional medicine along with dietary therapy could be a complementary therapeutic measure to prevent and manage SARS-CoV-2 infections. Herbal drugs from medicinal and aromatic plants are major source for the development of novel antiviral drugs. Exploration of plants with numerous bioactive compounds of therapeutic importance remains mostly scanty. Identifying potential natural plant sources constitute an alternate to contain and prevent SARS-CoV-2 infection either by being a viricidal or by boosting the immune system is need of the hour. In order to prevent and contain the severe respiratory infections associated with the COVID 19 pandemic in the absence of potential medicines against the SARS-CoV-2 virus, search for antiviral compounds from natural resources gains importance. This article aimed to provide comprehensive list of plants and their active compounds of antiviral properties which would pave a way to develop herbal drug to prevent and contain SARS-CoV-2 infection.
A hybrid simulation approach for site layout planning in construction projects

Purpose This study aims to propose a hybrid simulation approach for site layout and material laydown planning in construction projects considering both the project’s continuous and discrete state. Design/methodology/approach Efficient site layout planning (SLP) is a critical task at the early stages of the project to enhance constructability and reduce safety risks, construction duration and cost. In this paper, external and internal conditions affecting SLP gets identified. Then dynamic features of project conditions and project operations are analyzed by using a hybrid simulation approach combining continuous simulation (CS) and discrete event simulation (DES). Findings An efficient site layout plan regarding the project conditions results in cost efficiency. Instead of using DES or CS alone, this paper uses a hybrid simulation approach. Such a hybrid method leads to more accurate results that enable construction managers to make better decisions, such as material management variables. The proposed approach is implemented in a real construction project (i.e. earthmoving operation) to evaluate the hybrid simulation approach’s performance. Practical implications The proposed approach is implemented in a real construction project (i.e. earthmoving operation) to evaluate the performance of the hybrid simulation approach. Originality/value Although DES is used widely in construction simulation, it involves some limitations or inefficiencies. On the other hand, modeling resource interactions and capturing the construction project’s holistic nature with CS or system dynamics face some challenges. This study uses a hybrid DES and CS approach to enhance commercial construction projects’ SLP.
Carbon Stock Density of the Different Carbon Pools in Tulu Lafto Forest and Woodland Complex: Horo Guduru Wollega Zone, Oromia Region, Ethiopia

Forest contains one of the world’s largest terrestrial C pools and play vital role in combating climate change through carbon sequestration. This study was conducted on Tulu Lafto Forest and woodland complex (here after named as TLF) with the objective of investigating carbon stock density of the different carbon pools and its variation between vegetation units. Data were collected from a total of 75 nested plots. Diameter at breast height and total height were measured for all woody individuals (trees, shrubs and lianas) that attained a DBH of 2.5 cm and above. Woody plants that did not attained a DBH of 2.5 cm and herbaceous plants were destructively harvested from subplots of 1 m2 within the main plot. All dead woods were also measured for their length and diameter and samples were taken to determine its specific wood density and decomposition class. Above and below ground biomass was estimated using allometric equation, while the litter carbon was determined by loss on ignition (LOI) method. Soil samples were also collected in order to determine soil organic carbon. The mean above and below ground C stocks were 218.4 and 43.49 t C ha-1, respectively while, C stocks in soil organic matter, dead wood and litter were 128.95, 6.15 and 2.43 t C ha-1, respectively. The total C stock density of TLF was found to be 399.42 ± 265.15 t C ha-1 of which 54.68 and 32.28% was kept in the aboveground biomass and soil, respectively. Result indicated that there is significant C stock density variation between vegetation units in the study area.
Depression, Anxiety and Stress in Women with Breech Pregnancy - "Be not Afraid": A Prospective Study

Background: Breech presentation at term is associated with higher perinatal complications through the increased incidence of cesarean section and complications by vaginal breech birth. The decision-making process between breech delivery, trial of external cephalic version or cesarean section may lead to maternal depression, stress and anxiety. Mental disorder in itself is associated with poorer maternal and fetal outcomes, such as preterm birth, small for gestational age infants, lower birth weight and increased risk for postnatal depression. This study aims to evaluate the level of psychological distress for women with breech presentation compared to cephalic presentation. We hypothesized, that women with breech presentation have higher levels of depression, stress and anxiety than other pregnant women. Secondary objectives were to analyze potential demographic risk factors and comorbidity of psychological distress in breech pregnancy. Methods: The breech study group was formed by 379 women with breech presentation. A sample of 128 women with cephalic presentation was recruited during routine clinical care. Depression, anxiety and stress symptoms were ascertained by means of the Depression-Anxiety-Stress-Score (DASS)-21 questionnaire. Categorial data was analyzed with Chi-square or exact test, continuous data with unpaired t-test or Mann-Whitney-U-test. Demographic risk factors were identified using a binary logistic regression model.Results: Prevalence of psychological distress among women with breech was not higher compared to those of other pregnant women. Symptomatic depression, anxiety and stress affected 5.8%, 14.5% and 11.9% of women with breech, respectively. Decreasing age was identified as a risk factor for anxiety (p = 0.006). Multiparity increased risk for depression (p = 0.001), for anxiety (p = 0.026) and for perinatal stress (p = 0.010). More than 80% of women with depressive symptoms had comorbidities of psychological distress.Conclusions: Breech presentation compared to cephalic presentation was not associated with higher levels of psychological distress. However, breech pregnancies are affected by symptoms of potential mental disorder. Multiparous women and younger women may need additional support and would benefit from a standardized screening tool for the assessment of perinatal psychological distress.Clinical Trial Registration: Ethical approval (EA2/241/18) was granted by the Ethics Commission of the Charité University Hospital on the 23.01. 2019 (ClinicalTrials.gov Identifier: NCT03827226)
EVIDENCIA CIENTÍFICA DE LA EFECTIVIDAD DE LOS ENJUAGUES BUCALES SOBRE LA PLACA BACTERIANA DENTAL Y LA GINGIVITIS: UNA REVISIÓN DEL ESTADO DEL ARTE

El enjuague bucal es uno de los vehículos principales para los agentes antimicrobianos de uso oral. Se emplean coadyuvante en la higiene oral diaria, junto con el cepillado y el hilo dental. Estudios previos han demostrado la efectividad de diversos principios activos de los enjuagues bucales sobre el biofilm y la inflamación gingival. Sin embargo, debido a los resultados heterogéneos entre estudios, se dificulta establecer un marco de referencia de utilidad clínica, para apoyar la toma de decisiones de los profesionales odontólogos en las recomendaciones de uso de enjuagues bucales. En este trabajo se presenta el estado actual de la evidencia científica sobre la eficacia de los enjuagues bucales sobre la placa bacteriana y la inflamación gingival. Además, se presenta un marco de referencia para la prescripción de enjuagues bucales, sustentado en los resultados más relevantes de las publicaciones científicas de los últimos años.
Integration of Droplet Microfluidic Tools for Single-cell Functional Metagenomics: An Engineering Head Start

Droplet microfluidic techniques have shown promising outcome to study single cells at high throughput. However, their adoption in laboratories studying “-omics” sciences is still irrelevant due to the complex and multidisciplinary nature of the field. To facilitate their use, here we provide engineering details and organized protocols for integrating three droplet-based microfluidic technologies into the metagenomic pipeline to enable functional screening of bioproducts at high throughput. First, a device encapsulating single cells in droplets at a rate of ∼250 Hz is described considering droplet size and cell growth. Then, we expand on previously reported fluorescence-activated droplet sorting systems to integrate the use of 4 independent fluorescence-exciting lasers (i.e., 405, 488, 561, and 637 nm) in a single platform to make it compatible with different fluorescence-emitting biosensors. For this sorter, both hardware and software are provided and optimized for effortlessly sorting droplets at 60 Hz. Then, a passive droplet merger is also integrated into our pipeline to enable adding new reagents to already-made droplets at a rate of 200 Hz. Finally, we provide an optimized recipe for manufacturing these chips using silicon dry-etching tools. Because of the overall integration and the technical details presented here, our approach allows biologists to quickly use microfluidic technologies and achieve both single-cell resolution and high-throughput capability (>50,000 cells/day) for mining and bioprospecting metagenomic data
A Review on the Prevalence of Poxvirus Disease in Free-Living and Captive Wild Birds

Avian pox is a widespread infection in birds caused by genus Avipoxvirus pathogens. It is a noteworthy, potentially lethal disease to wild and domestic hosts. It can produce two different conditions: cutaneous pox, and diphtheritic pox. Here, we carry out an exhaustive review of all cases of avian pox reported from wild birds to analyze the effect and distribution in different avian species. Avian poxvirus strains have been detected in at least 374 wild bird species, a 60% increase on a 1999 review on avian pox hosts. We also analyze epizootic cases and if this disease contributes to wild bird population declines. We frequently observe very high prevalence in wild birds in remote island groups, e.g., Hawaii, Galapagos, etc., representing a major risk for the conservation of their unique endemic avifauna. However, the difference in prevalence between islands and continents is not significant given the few available studies. Morbidity and mortality can also be very high in captive birds, due to high population densities. However, despite the importance of the disease, the current detection rate of new Avipoxvirus strains suggests that diversity is incomplete for this group, and more research is needed to clarify its real extent, particularly in wild birds.
Eco-friendly seeded Fe3O4-Ag nanocrystals: a new type of highly efficient and low cost catalyst for methylene blue reduction

Hybrid Fe3O4-Ag nanocrystals, a new type of highly efficient and reusable catalyst for methylene blue (MB) reduction, are fabricated by a novel seed deposition process. X-ray diffraction and Mössbauer spectroscopy results show that the developed iron oxides are in a pure magnetite Fe3O4 phase. Upon manipulating the amount of Ag seeds capsuled on the modified surfaces of Fe3O4 nanocrystals, the catalytic capacities on the reduction of MB can be precisely adjusted with a tunable fabrication cost control. The linear correlation of the reduced MB concentration versus reaction time catalyzed by our developed hybrid Fe3O4-Ag nanocrystals is coherent with pseudo first order kinetics. Importantly, with remarkable recyclability features, the hybrid Fe3O4-Ag nanocrystals can be easily separated by applying an external magnetic field. The tailored catalytic performances of the hybrid Fe3O4-Ag nanocrystals during MB reduction are attributed to the optimized dynamic electron transfer process, which dominates the electrochemical mechanism wherein the nucleophilic BH4− ions donate electrons to electrophilic organic MB through Ag seeds in a regulated amount. Such developed hybrid Fe3O4-Ag nanocrystals pave the way towards the mass production of highly efficient and low cost catalysts for methylene blue reduction.
Discussion on the treatment of children's mental retardation from heart and spleen based on brain gut axis theory

The theory of brain gut axis provides a new idea for the clinical treatment of brain gut related diseases. The incidence rate of children with mental retardation has been increasing year by year, and it has become a key problem that affects children's growth and development urgently. As a new research target, brain gut axis theory has an inseparable connection with this disease. Therefore, this paper aims to explore the relationship between the theory of brain gut axis and the treatment of children's mental retardation from the heart and spleen in traditional Chinese medicine, it also explores the scientific connotation of traditional medicine and modern medicine, in order to provide a new perspective for the clinical treatment of children with mental retardation.
Polarization effects on intermolecular vibrational energy transfer analyzed by
 2DIR
 spectroscopy

In the present work, we analyze the influence of the polarization effects taking place during the course of a 2DIR spectroscopy experiment performed on a molecular system undergoing an intermolecular vibrational energy transfer process. When both donor and acceptor molecules participating in the vibrational energy transfer are embedded in a host solvent, they face rotational diffusion that strongly distorts the resulting 2DIR spectra. It could be expected that the difference between rotational diffusion constants will be of particular interest. For this purpose, the polarization effects are discussed according to the different orderings of the laser-molecule interactions. Next, we study the distortions of the spectra as a function of the rotational diffusion constants of the individual molecules. The knowledge of these polarization effects are relevant to the interpretation of the spectra. Finally, the conclusions reached in this work for a vibrational energy transfer are valid for any other type of third-order optical process performed on the same molecular system.
Continuous Monitoring of Parasitic Elements in Boost Converter Circuit

The given paper explains the necessity of condition monitoring for DC/DC boost converter circuit. Further, an analytical model of circuit parasitic estimation is presented based on measured quantities in the circuit. The implementation of continuous estimation of circuit parasitic elements is analytically explained and verified by simulations and experimental results. Obtained results are acceptable for condition monitoring.
Improvement of Phantom Pain by the Bioresonance Technology

Introduction: Phantom limb pain (PLP) is a sensation caused by missing an organ in the body, which can be due to amputation. The prevalence of PLP due to amputation is about 82% for upper limbs and 54% for lower limbs. Case Presentation: This research describes the case of a 71-year-old female patient who developed PLP after having three middle fingers on her left hand amputated due to dipping in a meat grinder. She underwent bioresonance therapy for PLP treatment for 19 months and achieved positive results. Conclusions: Regarding the role of PLP in the patients undergoing amputation, bioresonance therapy might be beneficial in managing this condition.
GLOBAL DEVELOPMENT OF THE ECO-INDUSTRY SECTOR

Eco-industry has become an equal and recognized economic sector developing in all economic systems in the world. The main reason of its creation was the worsening state of the natural environment in the second half of the twentieth century and also the growing ecological awareness of the contemporary societies. However, the differences in its production level and the resulting regional specializations in its scope in the recent decades are determined by a number of economic, technological and institutional factors. The article discusses the functioning definitions and difficulties in their development and application, as well as the sources of the data on the size of the eco-industry sector in the world. In addition, calculations regarding the growth rate of the eco-industry sector in 1996, 2004, 2012 and 2017 and its internal global industrial structure in 2016 were presented. In the final part of the work there were given and analysed the reasons and consequences related to the explanation of the different production volumes of the eco-industry sector in various countries of the world.
Effects of the Addition of Calcium Acetate into Silicate-Based Electrolytes on the Properties of MAO Coatings Produced on Zirconium

Effects of the Addition of Calcium Acetate into Silicate-Based Electrolytes on the Properties of MAO Coatings Produced on Zirconium S. Cengiza,∗, Y. Azakli, M. Yazici, B. Gayretli, Y. Gencer and M. Tarakci Gebze Technical University, Department of Materials Science and Engineering, 41400 Gebze, Kocaeli, Turkey Ondokuz Mayis University, Department of Materials Science and Engineering, 55139 Kurupelit, Samsun, Turkey
Amélioration des propriétés mécaniques du béton à partir de l'insertion des nanotubes de carbone : une étude par la dynamique moléculaire

La production de nouvelles generations de beton avec des proprietes physiques, structurales et techniques ameliorees est tres importante, mais elle n'est pas possible sans utiliser divers types d'additifs. Les nanotubes de carbone sont des materiaux prometteurs qui possedent des proprietes specifiques permettant leurs utilisations pour une grande variete de materiaux composites, y compris le beton. Certaines etudes experimentales ont revele que les nanotubes de carbone peuvent ameliorer les proprietes mecaniques du beton avec une petite quantite d'additifs, en fournissant une structure moins defectueuse de la matrice de ciment. Cependant, les resultats sont encore insuffisants et necessitent d'etre elucides sur les processus se produisant a l'echelle nanometrique dans la structure en beton modifiee par les nanotubes de carbone. Ainsi, cette these, a pour objectif principal l'etude de l'amelioration des proprietes mecaniques du beton modifie par les nanotubes de carbone. Afin de modeliser la structure atomique du gel de la Silicate de Calcium Hydratee, nous avons choisi la tobermorite 11A avec deux rapports differents de Ca/Si correspondants a 0,83 et 1. Divers types de nanotubes incorpores sont testes pour etudier les proprietes mecaniques du nouveau composite resultant. En outre, l'effet de la concentration de nanotubes de carbone dans le ciment est egalement detaille. Enfin, nous etudions l'effet de la pression uniaxial sur la structure du beton incluant des nanotubes de carbone. Nos travaux montrent qu'il possible d'ameliorer les caracteristiques mecaniques du beton en inserant des nanomateriaux en general, et des nanotubes de carbone en particulier.
Improvement in credit card fraud detection using ensemble classification technique and user data

Financial fraud is a serious problem in banking system. Credit card fraud is growing with increasing Internet usage, as it becomes very simple to collect user data and do fraud transaction. Fortunately, all records including fraud and legit transactions are present in the financial record. Improved data mining techniques are now capable to find solutions for such outlier detections. Financial data is freely available in many sources, but this data has some challenges like,1) the profile of legit and fraudulent behavior changes constantly, 2) there is a class imbalance problem in dataset, because less than 3% transaction are fraud, 3) transaction verification latency is also one more problem. All this data issues are handled using pre-processing techniques like cleaning and reduction. Main aim of this research is to find out, output attribute "is Fraud", with better time complexity. To this end, K-means, Random Forest and J48 algorithm is used, and its accuracy rates are compared to find best fit pre-processing and machine learning algorithm. It is observed that accuracy rate of Random Forest is 93.8% when both global and local dataset is used.
Prevalence and Determinants of Overweight and Obesity among Urban School Going Adolescents in South Kerala - A Community Based Cross Sectional Study

BACKGROUND Obesity is being designated as a global epidemic by the world health organisation. The problem of obesity is confined not only to adults but also to children and adolescents. Various studies also indicate that the prevalence of overweight and obesity amongst children of all ages is increasing in developing countries in the past few decades. The present study was undertaken to find the prevalence of overweight and obesity among school going adolescents 13 to 17 years of age in urban wards A cross-sectional study with a sample size of 1100 selected through multistage random sampling was conducted. Physical measurements as well as data regarding sociodemographic variables, dietary behaviour, physical activity, perception of body weight, and awareness regarding overweight and obesity were obtained using a pretested semi structured questionnaire. Descriptive analysis was done, followed by bivariate and multivariate analysis to find out the major determinants of overweight and obesity. improving our schools with more playtime periods and giving health education on healthy eating practices. Balancing interventions are of utmost necessity. There is an equal proportion of students who are underweight especially in the schools of government sector.
Just‐in‐time defect prediction for software hunks

Just‐in‐time defect prediction can remind software developers and managers to verify and fix bugs at the moment they appeared, thus improving the effectiveness and validity of bug fixing. Existing studies mainly focus on just‐in‐time prediction for software files (JIT‐F). JIT‐F is a binary classification problem, which classifies (hence predicts) a file change as buggy or clean. This article provides a detailed analysis of just‐in‐time defect prediction for software hunks (JIT‐H), which predicts bugs at a finer level of granularity, and hence further improves the efficiency of bug fixing. Classification is performed using the ensemble technique of bagging—aggregated combinations of random under sampling plus multiple classifiers (J48 and Random Forest). An empirical study with 10 open source projects was conducted to validate the effectiveness of JIT‐H. Experimental results show that JIT‐H is effective at predicting defects in software hunk changes. Compared with JIT‐F, JIT‐H is more cost effective. Additionally, analysis on the change features indicates that Text Vector features and hunk change level features are of more importance than features in other groups and levels.