Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevelance of Common Organisms Involved in Acute Appendicitis in Althowra Hospital, Elbyda, Libya

Background: Bacteria have been involved in the aetiopathogenesis of acute appendicitis. The known of bacteria and antibiotic sensitivity mode will assist in modulating treatment regime for acute appendicitis. Aim: This study aimed to find out the incidence of the offending organisms in acute appendicitis to determine the most effective antibiotic in a local population in Albyda city. Methods: Patients with acute appendicitis presenting between January 2019 and December 2019 were studied, At surgery 1cm rim of appendix was cut from the base and sent into the transport medium. The specimen was cultured for aerobic and anaerobic bacteria, Antibiotic sensitivity test was performed. Results: Sixty patients were conscript; Escherchia coli, gram negative bacilli were the commonest organism isolated. They were sensitive to) ciprofluxacin (65%), chloramphnical (60%) and third generation cephalosporins (52%) resistant to amoxycilin with clavulanic acid and tetracycline. The anaerobes were sensitive to metronidazole (96.5%). Original Research Article Mohamed et al.; JAMMR, 33(1): 76-81, 2021; Article no.JAMMR. 64525 77
Socio-ecological impacts of water hyacinth, Eichhornia crassipes (MART.) in Lake Tana, Gulf of Gorgora, Ethiopia

Water hyacinth is one of the aggressive alien aquatic macrophyte threatening biodiversity, economic development and human wellbeing. Currently, the macrophyte has invaded Lake Tana and its catchment causing several socio-ecological impacts. So far, there is limited information on socio-ecological impact of water hyacinth in Lake Tana specifically gulf of Gorgora. Therefore, the main aim of this study was to assess socio-ecological impact of water hyacinth in Lake Tana gulf of Gorgora, located in North West of Ethiopia from November 2019 to January 2020. Two sampling sites (infested and non-infested) were identified based on infestation of water hyacinth. A total of 30 water and 12 water hyacinth samples were collected with a survey of 50 individuals. Results revealed that water quality, phytoplankton diversity, fishing, navigation, health condition of local people, recreational and aesthetic value were impacted negatively due to infestation. Conversely, higher accumulation of toxic heavy metals and dissolved metallic ions in the root, stem and leaf of the macrophyte impacted positively. Infestation of the macrophyte significantly affected water quality and species diversity of Lake Tana. In the infested site; DO (3.3 to 4.5), SRP (0.012 to 0.023 mg L-1), TP (0.24 to 0.28 mg L- 1), NO3-N (0.74 to 0.97 mg L-1) and TN (2.1 to 3.2 mg L-1) were significantly (p < 0.01) lower than non-infested site. Generally, infestation of water hyacinth negatively impacted the society and the ecology in Lake Tana catchment. Therefore, continuous monitoring and management of the macrophyte is required.
Assessing the Maturity of Corporate Social Responsibility Practices: An Applied Study on Telecom Companies in KSA

Corporation social responsibility (CSR) practices are, nowadays, inescapable and more needed than ever considering the growing environmental institutional requirements as well as performance indicators that are increasingly including CSR issues to evaluate companies. CSR should not be considered as cost center, it is a vital source of company value and reputation. Actually, companies operating in KSA are not an exception of this CSR matter. This paper aims mainly to evaluate and analyze the maturity of CSR practices through an empirical study for Telecom companies in KSA, namely STC, Zain and Mobily. From a deepen literature review, four main CSR practices have been identified, namely: economic, ethical, legal and philanthropic practices. A questionnaire has been developed to test and validate research hypothesis. The results show a high level of CSR practices, except for the philanthropic practices.
Concussion-reporting behaviors among high school athletes in Ireland: Applying the theory of planned behavior

Background Sport-related concussion is a significant public health issue, especially among children and adolescents. A growing body of evidence suggests that athletes who do not immediately report concussion and continue to play while concussed take longer to recover than their counterparts. Yet, many child and adolescent athletes do not immediately report concussion symptoms to a responsible adult. Aim This study examined the utility of the Theory of Planned Behavior (TPB) in predicting concussion reporting intentions and in-season reporting behaviors among high school, Gaelic Athletic Association (GAA) athletes in the Republic of Ireland. Methods High school GAA athletes aged 12-18 years completed surveys at baseline and at three-month follow-up. Concussion-related perceived behavioral control (PBC), attitudes, subjective norms, and reporting intentions were assessed at baseline. In-season concussion reporting behaviors were assessed at three-month follow-up. Hierarchical linear regression models were used to examine the relationship between the constructs of the TPB and baseline reporting intentions. Logistic regression models were used to examine the relationship between the constructs of the TPB and in-season reporting behaviors. All data were collected during the 2016–2017 academic year. Results A total of 153 adolescent athletes were included (n = 102 [66.7%] females; Mage = 14.4 years, [SD = 1.6]). Consistent with the TPB, results revealed that PBC and reporting intentions contributed to the prediction of in-season reporting behaviors. Reporting intentions, in turn, were strongly influenced by PBC, attitudes, and subjective norms. PBC was the strongest predictor of concussion reporting intentions and in-season reporting behaviors; the stronger the athletes’ PBC, the stronger their reporting intentions and the more likely they were to have reported concussion symptoms during the current season. Conclusion Although the findings from the current study must be interpreted cautiously given the small sample size, the findings suggest that the TPB has some utility in the prediction of concussion reporting intentions and reporting behaviors. However, our findings suggest that the TPB should not be used in isolation; other models that incorporate personal factors and environmental constraints may be needed to better our understanding of concussion reporting intentions and behaviors among high school athletes. Concussion education programs that include strategies to enhance PBC over concussion reporting may help improve concussion reporting behaviors among high school athletes.
Beneficial health effects of rutin supplementation in patients with diabetes mellitus

Flavonoids, dietary antioxidant compounds may offer some protection against early- stage diabetes mellitus and its associated complications. The present study aimed to evaluate the effect of rutin on overall health of patients with diabetes mellitus. The effects of rutin were tested by using it as a supplement with their regular medications. The total trial period was of 120 days conducted with a gap of 30 days each. It consisted of 30 patients aging between 40-50 years, having diabetes mellitus since last 5 years. These patients were given Rutin Tablets for 60 days. Fasting Blood Sugar (FBS), Body Mass Index (BMI), blood pressures, lipid profile, serum urea and creatinine, electrolytes, SGOT (serum glutamic oxaloacetic transaminase), SGPT (serum glutamic pyruvic transaminase) and Alkaline phosphatase (ALP) were measured at baseline and then after every 30 days. Rutin tablets were stopped for next 60 days. All of above parameters were again measured on 90 th and 120 th day. The results showed that rutin decreased the levels of FBS, systolic and diastolic blood pressure, HDL, Serum Urea and creatinine significantly (P<0.05), whereas significant increase (P<0.05) in TGL, HDL, VLDL were seen. Decrease in the level of SGOT, SGPT, ALP and BMI is not significant.
Machine Learning Based Prediction of Phases in High-Entropy Alloys

Abstract “The answer to the question “why HEAs exhibit such exceptional properties” lies in their phases” [1]. The implementation of machine learning (ML) approaches for the classification of solid solution high-entropy alloy (HEA) phases is, therefore, a topical theme in material informatics. For this study, we construct a new dataset based at least 430 peer-reviewed experimental publications including at least 40 metallurgy-specific predictor features. This study proposes a systematic framework incorporating of (a) six feature selection schemes, (b) construction of feature ensembles, and (c) the implementation of eight general ML classifiers. The classifiers, namely: regression tree (DT), linear discriminant analysis (LDA), naїve Bayes (NB), generalized linear regression (GLMNET), random forest (RF), artificial neural networks (NNET), k-nearest neighbors (kNN), and support vector machines (SVM) were trained and evaluated on classifying HEA solid solution phases across feature ensemble sizes. Feature selection results identify the most discriminating predictor features and against intuition, the post-treatment heat-treatment features performed poorly. The RF, SVM, kNN, and NNET classifiers outperformed the other algorithms used with accuracy rates of 97.5%, 95.8%, 94.5%, and 94.0%, respectively. Furthermore, five alloy systems were used to test the validity and applicability of the model - stabilization phases, production of phase transitions, and the triangulation of experimental and ab initio study findings were demonstrated.
Exploration of Epigenetic State Hyperdopaminergia (Surfeit) and Genetic Trait Hypodopaminergia (Deficit) During Adolescent Brain Development.

Background The risk for all addictive drug and non-drug behaviors, especially, in the unmyelinated Prefrontal Cortex (PFC) of adolescents, is important and complex. Many animal and human studies show the epigenetic impact on the developing brain in adolescents, compared to adults. Some reveal an underlying hyperdopaminergia that seems to set our youth up for risky behaviors by inducing high quanta pre-synaptic dopamine release at reward site neurons. In addition, altered reward gene expression in adolescents caused epigenetically by social defeat, like bullying, can continue into adulthood. In contrast, there is also evidence that epigenetic events can elicit adolescent hypodopaminergia. This complexity suggests that neuroscience cannot make a definitive claim that all adolescents carry a hyperdopaminergia trait. Objective The primary issue involves the question of whether there exists a mixed hypo or hyper-dopaminergia in this population. Method Genetic Addiction Risk Score (GARS®) testing was carried out of 24 Caucasians of ages 12-19, derived from families with RDS. Results We have found that adolescents from this cohort, derived from RDS parents, displayed a high risk for any addictive behavior (a hypodopaminergia), especially, drug-seeking (95%) and alcohol-seeking (64%). Conclusion The adolescents in our study, although more work is required, show a hypodopaminergic trait, derived from a family with Reward Deficiency Syndrome (RDS). Certainly, in future studies, we will analyze GARS in non-RDS Caucasians between the ages of 12-19. The suggestion is first to identify risk alleles with the GARS test and, then, use well-researched precision, pro-dopamine neutraceutical regulation. This "two-hit" approach might prevent tragic fatalities among adolescents, in the face of the American opioid/psychostimulant epidemic.
Improving Nutrient Uptake, Growth, Yield and Protein Content in Chickpea by the Co-Addition of Phosphorus Fertilizers, Organic Manures, and Bacillus sp. MN-54

The main purpose of this study was to examine the impact of different phosphorus (P) fertilizers and organic manures alone and in combination with Bacillus sp. MN-54 on growth, yield, nutrient uptake, chlorophyll (SPAD value) and crude proteins content of chickpea. The simple manure (SM), processed manure (PM), single super phosphate (SSP), and rock phosphate (RP) were applied individually and in different combinations to the soil in pots, and the chickpea seeds treated with Bacillus sp. MN-54 were sown in the selective pots. Results showed that individual use of SM, PM, SSP, RP, and strain MN-54 significantly increased (P ≤ 0.05) the nutrient uptake, growth, yield, and protein content of chickpea as compared to control treatments. While the combined use of SM or PM, SSP or RP, and MN-54 further enhanced this effect. Among different treatments, combined use of RP, PM and MN-54 proved the most effective treatment showing increase of 37.5 and 42.6% in shoot and root lengths, 43.4 and 38.3% in fresh and dry shoot weights, 36.1 and 36.5% in fresh and dry root weights, 45.8% in no. of pods, 43.6% in nodules counts, 16.0% in 100-grain weight and 31–36% nutrient uptake over control treatments. Our findings suggest that the co-addition of organic manures and P fertilizers along with plant growth promoting bacteria (i.e., Bacillus sp. MN-54) not only increases the growth and yield but also improves nodulation, nutrient uptake, and crude proteins content in chickpea.
JENDL/DEU-2020: deuteron nuclear data library for design studies of accelerator-based neutron sources

ABSTRACT Intensive fast neutron sources using deuteron accelerators have been proposed for various applications. To contribute to the design study of such neutron sources, a deuteron nuclear data library for 6,7Li, 9Be, and 12,13C up to 200 MeV, JENDL/DEU-2020 is developed. Evaluation of JENDL/DEU-2020 is performed by employing the code system DEURACS with particular attention to neutron production data. Toward the evaluation of JENDL/DEU-2020, some modifications are made to DEURACS. Validation of the library is performed through simulation with the Monte Carlo transport calculation codes. From the simulation, it is shown that calculation results based on JENDL/DEU-2020 reproduce measured neutron production data well in incident energies up to 200 MeV. The new library is expected to make a large contribution to diverse design studies of deuteron accelerator neutron sources.
Conduct risk within the United States financial sector

ABSTRACT Conduct risk in the Financial Services sector has become an area for research especially since the 2008 financial crisis. New and revised regulations and guidelines are being implemented in an effort to, on the one hand facilitate regulatory censure and on the other hand to guide and ensure better behaviour amongst senior management and their decisions in relation to incentive policies. This paper provides a micro-level examination of conduct risk events within financial institutions sanctioned by the Securities and Exchange Commission. From these risk events a number of internal organisational failings were then extrapolated and categorised, and further conceptualised within the Hofstede cultural perspective of organisational decision-making in relation to financial services behaviour.
Grade Diagnosis of Human Glioma Based on Fingerprint and Artificial Neural Network

Grade diagnosis of human glioma based on fingerprint and artificial neural network Wenyu Peng, Shuo Chen, Dongsheng Kong, Xiaojie zhou, Xiaoyun Lu, and Chao Chang # Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science, Xi’an Jiaotong University, Xi’an 710049, China Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing 100071, China Department of Neurosurgery, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, P.R. China National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Science, Shanghai 201210, China.
A novel approach of GEF and GA for the optimization of multi-objective wire EDM process during the machining of DC53 super alloy

In components manufacturing, the Wire EDM is more popular due to its outstanding features of high dimensional accuracy, lower cost of production and good surface finish as there is no physical contact between the wire and work piece. However, for the steel with higher hardness, it is difficult to obtain these features up to the required extent. Moreover, with the help of optimum process parameters selection the WEDM performance characteristics should be improved. The most commonly studied responses for this process are material removal rate (MRR), Surface finish, Kerf width, wire consumption, roundness error. Among these, the responses like Kerf width, MRR and surface roughness are the primary responses. It is observed that pulse on time, pulse off time, servo voltage, peak current and wire feed are the influencing input parameters to these primary responses. Therefore, in the present work, the optimal level of input parameters is estimated for these responses using the Grey-Entropy-Fuzzy (GEF) and Genetic Algorithm (GA) during wire EDM of steel grade DC53 with high hardness of HRC58normally used in stamping dies, injection moulding and compression Moulding etc. To convert the multi objective problem into a single objective, the grey relational coefficient (GRC) has been calculated using Grey Relational Analysis and the weight-age of each response is approximated during the entropy method. To estimate the relation among the input parameters and single objective (GRC) fuzzy mathematical modelling technique termed as GEF has been applied. The optimal performance has been calculated using GA and GEF model is considered as fitness function. Five conformational tests on optimum parameter combination suggested by GA has been performed. The predicted values and experimental values have been found to be in good agreement with a standard error of 3.31% hence the prediction performance of the GREG-Fuzzy is quite satisfactory.
Chemical and lithium isotope characteristics of murakamiite and Li–rich pectolite from Iwagi Islet, Southwest Japan

We report in situ major and trace element and Li isotope analyses of murakamiite and Li – rich pectolite in an albitite and whole – rock analyses of the albitite and host granite from Iwagi Islet, SW Japan. The albitite forms small bodies that are several tens of centimeters to tens of meters in size, disseminated in a host granite of Late Cretaceous age. The studied murakamiite – bearing albitite contains albite, sugilite, aegirine – augite, quartz, murakamiite – Li – rich pectolite, microcline, katayamalite, and accessory minerals. It shows conspicuous strain – induced textures. The murakamiite and Li – rich pectolite form a solid solution with Li × 100/(Li + Na) atomic ratios ranging from 44.2 to 60.1, and the Na line pro ﬁ les show a zoning structure in which Na decreases from core to rim. Major and trace element compositions of murakamiite – pectolite normalized to that of albitite in-dicate the enrichments of some elements, particularly in Mn, Ca, Li, Sr, and REEs, roughly on the same order of magnitude (~ 10 times). The albitite – normalized element concentrations vary systematically with ionic radius of the element; the normalized concentrations of cations with the same valence roughly form a simple convex parabolic curve when plot against the ionic radius. This indicates that the element partitioning of murakamiite and pectolite during metasomatism to form albitite took place under a strong control of crystal structure, quasi – equilibrated with metasomatic ﬂ uids and coexisting minerals. The δ 7 Li values of murakamiite and Li – rich pectolite show a wide range from − 9.1 to +0.4 ‰ (average − 2.9 ‰ ), and no obvious correlation with Li contents was observed. These δ 7 Li values should have resulted from hydrothermal ﬂ uid – rock interactions at the temperatures of 300 – 600 °C. The very low δ 7 Li values down to − 9.1 ‰ may have originated from intra – crystalline Li isotope di ﬀ usion, or involvement of deep – seated, Li – Na – enriched subduction – zone ﬂ uids with low δ 7 Li values. ,
Identifying the Immunological Gene Signatures of Immune Cell Subtypes

The immune system is a complicated defensive system that comprises multiple functional cells and molecules acting against endogenous and exogenous pathogenic factors. Identifying immune cell subtypes and recognizing their unique immunological functions are difficult because of the complicated cellular components and immunological functions of the immune system. With the development of transcriptomics and high-throughput sequencing, the gene expression profiling of immune cells can provide a new strategy to explore the immune cell subtyping. On the basis of the new profiling data of mouse immune cell gene expression from the Immunological Genome Project (ImmGen), a novel computational pipeline was applied to identify different immune cell subtypes, including αβ T cells, B cells, γδ T cells, and innate lymphocytes. First, the profiling data was analyzed by a powerful feature selection method, Monte-Carlo Feature Selection, resulting in a feature list and some informative features. For the list, the two-stage incremental feature selection method, incorporating random forest as the classification algorithm, was applied to extract essential gene signatures and build an efficient classifier. On the other hand, a rule learning scheme was applied on the informative features to construct quantitative expression rules. A group of gene signatures was found as qualitatively related to the biological processes of four immune cell subtypes. The quantitative expression rules can efficiently cluster immune cells. This work provides a novel computational tool for immune cell quantitative subtyping and biomarker recognition.
Prevalence of Malocclusion and Its Relationship with Deleterious Oral Habits Among 18-25 Years Old Adults Attending A Private Dental College- A Hospital Based Cross Sectional Study

Abnormal oral habit could alter a normal growth of oro-facial structure and alo related to malocclusion which is caused by various reasons such as unusual repetitive behaviours in oral cavity To evaluate the prevalence of malocclusion and its association with deleterious oral habits in adults from 18-25 years old. The present cross-sectional study was undertaken to evaluate the prevalence of malocclusion and its association with deleterious oral habits in adults, from 1825years old in south Indian population. Case sheets of 158 patients were evaluated for adverse oral habits and malocclusion. The collected information from the case sheet of the patients was entered in Microsoft Excel 2012.Descriptive statistics were expressed by means of frequency and percentage and Chi-square test was used to find the association between Independent variables (Age and Gender) and Deleterious Oral Habits. Level of statistical significance was set at p<0.05. Total sample size n=158,out of which patients with biting habits-52.91%,Tongue thrusting25.58%,Mouth breathing-15.82%,Lip biting-8.86%,Thumb sucking-6.33%,biting and lip biting3.80%,Tongue thrusting and lip biting-3.80%,Thumb sucking biting, Thumb sucking and mouth breathing-0.63%. In conclusion, the majority of the study population had a biting habit and Angle’s class I malocclusion and also found that there was no relationship between Malocclusion and deleterious oral habits among the study subjects enrolled in the present study.