Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of Dose Distributions by High-energy Electrons in Alumina Pellets Using Monte Carlo Simulations

Electron beam accelerators are broadly used to study the effects of ionizing radiation on the properties of materials. These accelerators are also used to study radiation effects in some important ceramics such as alumina. The produced high-energy electrons at MeV energies will deposit doses that are typically non-uniformly distributed within the entire material. Such distributions provide valuable information regarding the degree of internal and surface changes owing to the irradiation. In the present study, the Monte Carlo (MC) method was used to obtain the dose distributions of high-energy electrons to alumina ceramic in pellet form. The distributions obtained via MCNP5 (Monte Carlo N-Particle version 5) were normalized by experimental values. For the energy of the simulated electrons, both monoenergetic and polyenergetic source electron energies were evaluated. The distributions of the depth-dose, depth-energy, and the top and bottom surface 2D dose mesh were obtained. Results showed that either assumption of monoenergetic or polyenergetic source electron energies resulted in similar depth-dose curves. The depth-energy results showed a larger spread in energy distributions for polyenergetic as compared to monoenergetic source electrons; nonetheless, the average doses for both were similar. The 2D dose maps showed a uniform dose distribution at the top pellet surface and a significantly non-uniform distribution at the bottom of the pellet. These results emphasize the effectiveness of the MC method in determining non-uniform doses within materials, which can be used in quantifying the changes in the material properties at each separate area of the electron irradiated object.
ASSESSING THE EARLY-SEASON VIGOR OF A DIVERSE RICE POPULATION BY USING MORPHOPHYSIOLOGICAL TRAITS

Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, USA Department of Field Crop Science, Tikrit University, Salah Al-Deen Governorate, Tikrit, Iraq Delta Research and Extension Center, Mississippi State University, 82 Stoneville Road, Stoneville, MS, USA Department of Genetics and Plant Breeding, Sher-eKashmir University of Agricultural Sciences and Technology, J & K, India USDA UVB Monitoring and Research Program, Natural Resource Ecology Laboratory, and Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, USA Corn Host Plant Resistance Research Unit, Crop Science Research Laboratory, USDA-ARS, Mississippi State, MS, USA *Corresponding author email: krreddy@pss.msstate.edu Email addresses of coauthors: shj44@msstate.edu, naqeeb.hassas@yahoo.com, edredona@drec.msstate.edu, ajaz999@gmail.com, drc373@msstate.edu, wei.gao@colostate.edu, marilyn.warburton@ars.usda. gov
Therapeutic Plasma Exchange and Cytapheresis in Various Disorders – Experience from a Tertiary Care Centre in East India

Therapeutic plasmapheresis or plasma xchange has been used to treat a variety of renal, neurological, hematological and autoimmune disorders. The present communication describes our short experience in plasma Exchange in a tertiary care multispeciality hospital in eighty-five cases where two hundred ninety-six procedures in total have been done over 57 months using Cobe Spectra (USA) pheresis machine. The age of the patients varied from 15 to 85 years. The replacement fluid used was mixture of Fresh Frozen Plasma (FFP) and Normal saline. There was no procedure related death. The spectrum of disorders includes cases of antibody mediated rejection after kidney transplant, cases of removing is agglutinin for renal transplantation across Blood Group barrier, Gullian Barre Syndrome, Myasthenia Gravis, TTP, Autoimmune Hemolytic Anemia, Waldenstroms Macroglobulinemia, SLE etc. The safety and Efficacy of plasmapheresis has been reassured. It was also found to be less expensive compared to other modalities of management. Two cases of red cell cytapheresis in sickle cell anaemia during crisis has been described where it is very effective.
Modelling the struggle for existence in structured populations

By numerical continuation of equilibria, we study a size-structured model for the dynamics of a cannibalistic fish population and its alternative resource. Because we model the cannibalistic interaction as dependent on the ratio of cannibal length and victim length, a cannibal experiences a size distribution of potential victims which depends on its own body size. We show how equilibria of the resulting infinite-dimensional dynamical system can be traced with an existing method for numerical continuation for physiologically structured population models. With this approach we found that cannibalism can induce bistability associated with a fold (or, saddle-node) bifurcation. The two stable states can be qualified as ‘stunted’ and ‘piscivorous’, respectively. We identify a new ecological mechanism for bistability, in which the energy gain from cannibalism plays a crucial role: Whereas in the stunted population state cannibals consume their victims, on average, while they are very small and yield little energy, in the piscivorous state cannibals consume their victims not before they have become much bigger, which results in a much higher mean yield of cannibalism. We refer to this mechanism as the ‘Hansel and Gretel’ effect. It is not related to any individual ‘choice’ or ‘strategy’, but depends purely on a difference in population size distribution. We argue that studying dynamics of size-structured population models with this new approach of equilibrium continuation extends the insight that can be gleaned from numerical simulations of
Plant Seedling Classification Presented by Group 16

Plant Seedling Classification is a Kaggle competition with the goal to classify the new unseen images into one of the twelve mentioned categories accurately. Convolutional neural networks (CNN) have outperformed conventional meth-ods in modeling plant seedling classification. We intend to make prediction using Neural Network, feeding the model with the training set and try to tweak the number of hidden layer to get a acceptable accuracy, which is up to 0.9621. Customized CNN models with the combination of data augmentation, data cleaning help improve nearly state-of-art classification results.
Data-Driven RAN Slicing Mechanisms for 5G and Beyond

One of the main challenges when it comes to deploying Network Slices is slicing the Radio Access Network (RAN). Indeed, managing RAN resources and sharing them among network slices is an increasingly difficult task, which needs to be properly designed. The goal is to improve network performance and introduce flexibility and greater utilization of network resources by accurately and dynamically provisioning the activated network slices with the appropriate amounts of resources to meet their diverse requirements. In this paper, we propose a data-driven RAN slicing mechanism based on a resource sharing algorithm running at the Slice Orchestrator (SO) level. This algorithm computes the necessary radio resources to be used by each deployed network slice. These resources are adjusted periodically based on current estimates of achievable throughput performance derived from channel quality information, and in particular from the Channel Quality Indicator (CQI) values of the users of each network slice retrieved from the RAN. CQI information is reported to base stations by the User Equipment (UE) following standard procedures, but extracting and frequently reporting it from base stations to the SO may result in significant communication overhead. To mitigate this overhead while maintaining at the SO level an accurate view of UE channel qualities, we propose a machine learning approach to infer the stability of UE channel conditions, as well as predictive schemes to reduce the CQI reporting intensity based on the inferred channel status. Through extensive simulations, we demonstrate the efficiency of our data-driven RAN slicing framework, which allows to meet the stringent requirements of two main classes of network slices in 5G, i.e., enhanced Mobile Broadband (eMBB) and Ultra-Reliable and Low-Latency Communication (URLLC).
HOUSEHOLDS’ ECONOMIC LOSSES DUE TO FOOD WASTE: A CASE STUDY IN THE HOUSEHOLDS AT BOGOR REGENCY, WEST JAVA, INDONESIA

Food waste is one of the global agricultural problems that occur in various regions of both developed and developing countries. Food waste affects the fulfillment of food and nutrition needs of the community. This study sought (1) to describe the condition of household food consumption, (2) to compute the amount of food waste, and (3) to estimate the economic loses due to food waste at the household level. The determination of household samples and collection of food waste was carried out using the method specified in SNI number 19-3964-1994, while determination of the value of economic losses is based on the cost of wasted food method. The results showed that high-income households tended to allocate more income for non-food expenditures, whereas middleand low-income households prioritized their income for food. Rice, vegetabless, and poultry are the most frequently consumed food groups, while red meat is the food group that is rarely consumed by middleand lowincome households. The highest food waste occurs in the middle-income household group, while the lowest food waste occurs in the hohg-income household group. The value of economic losses incurred due to food waste was the highest for middle-income households and the lowest is for low-income households.
If you build it, they will change: Evaluating the impact of commuter rail stations on real estate values and neighborhood composition in the Rotterdam–The Hague metropolitan area, the Netherlands

In many metropolitan regions, transit-oriented developments are built to motivate the use of sustainable travel by promoting urban growth within walking distances of public transport stations. Changes in residential property values are a common way to assess the success of transit-oriented developments. However, studies that focus on property values alone have reported mixed effects. This paper attempts to evaluate the land value impact around commuter rail stations by analyzing the change in property values within the context of the transformation of socio-spatial neighborhood attributes. The study sets out to estimate the effect of Randstad Rail stations using real estate transaction data of residential properties and neighborhood socio-spatial attributes in the Rotterdam–the Hague metropolitan area of the Netherlands covering a period from 1985 to 2018. Adopting a quasi-experimental design, the effect is estimated for properties within different catchment zones around three commuter rail stations using a Difference-in-Differences Model and Multivariate Analysis of Variance. The results demonstrate the overall negative effect of the Randstad Rail on the value of residential properties at a distance equal to or less than 400 meters from the selected rail stations in the range of -18.8% to -11.5%. In contrast, a positive effect is observed for the residential properties located within a radius of 400 to 800 meters from the rail stations, which is estimated to be +15% to +33.2%. The findings also indicate a considerable socio-spatial transformation in the neighborhood composition after the opening of the rail stations in terms of neighborhood population density, land-use density, housing characteristics, and car ownership, which significantly affect the magnitude and direction of the impact.
Effect of Intellectual Capital on Sustainable Financial Performance of Indonesian Pharmaceutical Firms with Moderating Role Knowledge Management

In modern era, intangibles assets that include intellectual capital are equally important for the performance of any organization. This study intended to examine the role of Intellectual Capital (Human Capital, Relational Capital and Structural Capital) in sustainable financial performance of Indonesian pharmaceutical firms with moderating role of knowledge management. To achieve the objective of study, the data was collected by using cross sectional method and analysed by PLS statistical software. The results of this study show that Intellectual Capital (Human Capital, Relational Capital and Structural Capital) has significant relationship with sustainable financial performance of pharmaceutical firms. Components of intellectual capital are crucial to increase the financial performance of pharmaceutical firms in Indonesia. Furthermore, study found that knowledge management has moderating role on the relationship of human capital and structural capital with sustainable financial performance, however, knowledge management has no moderating role on the association of relational capital with sustainable financial performance of firms. The study presents a new empirical insight for managerial decision for pharmaceutical firms in Indonesia.
Metabolic Syndrome as a Risk Factor for Idiosyncratic Drug-Induced Autoimmune Hepatitis (DIAIH) Following Nitrofurantoin Exposure

Background: Non-alcoholic fatty liver (NAFLD) and metabolic syndrome have been characterized as a risk factors for drug induced liver injury (DILI). Drug-induced autoimmune hepatitis (DIAIH) is a potentially fatal disease, with a wide variety of causative drugs, one of the most common is Nitrofurantoin used for prevention of urinary tract infection. Despite its idiosyncratic pattern of damage, there is no consensus regarding which patients are at increased risk to develop DIAIH following exposure. Methods and Results: Reviewing our institution’s medical records between 2000 2015 we identified 11 patients who presented with hepatitis following long-term treatment with nitrofurantoin, exhibiting a mixed pattern of elevated liver enzymes. Liver biopsies revealed heavy plasma cells infiltrates and bridging necrosis. Cessation of nitrofurantoin, and administration of steroids normalized liver function tests and reversed symptoms. Prevalence of metabolic syndrome was double then expected among our patients. Conclusion: Nitrofurantoin can cause idiosyncratic DIAIH in patients with metabolic syndrome and should be considered as a risk factor. In the presence of metabolic syndrome or fatty liver, alternative preventive treatment options for urinary tract infection should be sought, otherwise quarterly laboratory follow-up is advised to recognize early and potentially reversible liver damage.
Effect of nitrogen and water supplies on durum wheat (Triticum turgidum var. durum) response under semi-arid environment

Background: Water and nitrogen (N) are the important compounds in plant production and its deficit is a growth limiting factor. Materials and Methods: A field trial was conducted to evaluate the effect of three nitrogen fertilization applied at different rates (0, 100 and 200 kg N/ha) of three wheat (Triticum turgidum var. durum) cultivars (Maali, Selim and Nasr) under the same cropping practices (sowing date, seeding rate, row space and seeding depth). Durum wheat response was assessed under supplemental irrigation and rainfed conditions. Plant number/m2 (PN), tillers number/plant (NT), spike number/m2 (SN), kernel number/spike (KN), thousand kernel weight (TKW), fresh weight shoot (FWS), dry weight shoot (DWS) and height plant (HP) were studied. Results: Variance analysis showed that all traits were significantly (P<0.01) influence by N fertilization expect NT in general for most cultivars. A signifiant increase in nitrogen application rate had resulted in an increase of component of yield. The optimum yield was produced for all cultivars at 200 kg N/ha rate. Results showed that cultivar Maali and Selim were more affected by nitrogen fertilization than cultivar Nasr. Selim variety showed the important TKW, KN and SP for all N regimes. Regardless of cultivar, results showed that supplemental irrigation significantly increased PN, SN, FWS and TKW with respect to the rained treatment. Maali and Selim were less affected by supplemental irrigation than Nasr. Conclusion: Combined the two factor (Nitrogen and water supply), the optimum yield was produced for all cultivars at supplemental irrigation and nitrogen rate of 200 kg N/ha and the Selim variety had the most performing one. Thus, this variety could be recommended for semi-arid region as Siliana site. Key Word: durum wheat, nitrogen fertilization, semi-arid environment, supplementary irrigation Abbreviations: N: nitrogen; PN: Plant number/m2; TN: tillers number/plant; SN: spike number/m2: KN: kernel number/spike; TKW: thousand kernel weight; FWS: fresh weight shoot; DWS: dry weight shoot and PH: plant height. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 25-11-2020 Date of Acceptance: 09-12-2020 -------------------------------------------------------------------------------------------------------------------------------------
Comparative evaluation of levetiracetam and valproic acid as monotherapy on cognitive impairment in patients of epilepsy

Background: Cognitive decline with AEDs (Anti-epileptic drugs) is associated with learning and memory deficits especially in the younger age group. The data regarding the impact of levetiracetam and valproic acid as monotherapy on cognition in epileptic patients is scarce. The present study was done for evaluation of cognitive decline associated with the use of AEDs.Methods: Present study was a prospective study on 60 patients on AEDs for a period of 12 weeks. Patients were enrolled from the Department of Neurology, Swami Rama Himalayan University, Dehradun, Uttarakhand, India and divided into group A (levetiracetam) and group B (valproic acid) with 30 patients in each group. Permission from the institutional ethics committee and written informed consent was taken from all the patients. They were analyzed for cognitive impairment using MMSE and MoCA scales at baseline and 12 weeks.Results: The mean duration of disease was 2.13±1.1 years and 2.08±1.1 years and mean age of the patients was 14.67±1.9 years in group A and 16.20±1.6 years in group B. GTCS was present in 31 patients (52%) followed by partial seizures in 29 patients (48%). The mean change in the MMSE scores from baseline to 12 weeks was significant in group A 1.30±1.1 (p value <0.05) and change group B was -0.20±1.4 not statistically significant. The mean change was observed in MoCA scores from baseline to 12 weeks was significant in both groups A and B by 1.17±1.1 and -0.70±1.1 respectively (P value <0.05). Conclusions: Patients on levetiracetam showed cognitive improvement, whereas patients on valproic acid showed a decline in the MMSE and MoCA scores.
Cultural Capital Based on Agency Theory (study at Village Credit Institutions in Bali)

This study aims to review 13 litertures to obtain an overview of the organizational structure and cultural capital which is the development of the theory of intellectual capital (intellectual capital) in relation to credit risk, efficiency and financial performance. The novelty of this researchis where cultural capital which is the development of intellectual capital is measured by the collective culture and organizational culture typical of VCI based on agency theory. Like other financial institutions, VCI operations cannot be separated from risks, including credit risk, which can affect the efficiency and financial performance of the VCI. The results show that for VCI management, this theory does not necessarily apply. Supervisor, VCI administrators and employees come from local customary villages who are generally very attached to their interests as citizens based on collective cultural thinking. Besides that, with its unique organizational structure, wherethe customary Bendesa directly acts as chairman of the supervisory board, it will color the VCI organizational culture which complements the spirit of the collective culture to achieve the VCI goals.
Purification and Characterization of α-L-rhamnosidase from Bacillus amyloliquefaciens –D1

Rhamnosidase enzyme important role in debittering technology of citrus fruit juices. The other industrial sector considered a potential user of wine enhancement, antibiotic preparation, preparation of rhamnose, prunin and hydrolysis of glycoside. The enzyme rhamnosidase enzyme isolated from in animals, plants, and microbial sources. The present study was attempted to purification and characterization of rhamnosidase enzyme from Bacillus amyloliquefaciensD1. α-Lrhamnosidase enzyme which was extracted from the fermented broth of Bacillus amyloliquefaciens-D1 was purified about 3.08-fold with yield 35.77 by ammonium sulfate precipitation followed by Sephadex G-100 column chromatography. The purity of the enzyme was confirmed by High-performance chromatography and 12% SDS-PAGE indicate a single peak showed and molecular weight found 67kDa. The purified enzyme optimum pH and temperature were 6.0 and 40°C respectively. The effects of mental activity found showed that Fe2+ (131.4%) and NaCl (129.37%) were strong activators, while KCL and Cu2+ was a strong inhibitor of the rhamnosidase enzyme production. The enzyme kinetic constants Km and Vmax were 15.09 (mg/ml) and 2.22 (mg/ ml/min), respectively. Further exploitation of the strain in large scale field application will help in citrus processing and bioprocess industries.
​Investigating Success Factors on Employee Performance of Accommodation and Food Service Industry in Penang, Malaysia

The accommodation and food service market in Malaysia is very active. However, inconsistent with the rapid development of the accommodation and food service industry, accommodation and food service industry generally face problems such as shortage and loss of talent, poor service quality and competition in industry. The purpose of this paper was to investigate the successful factors that affected the employee performance of accommodation and food service industry in Penang, Malaysia. The factors that examine in this paper were training, working environment, reward and leadership. Data was gathered from the employee from accommodation and food service industry in Penang, Malaysia. The research was a quantitative research method. The researcher used a sample size determination table and used cluster sampling technique to select samples to make the samples more representative. The questionnaire was consisted of two section. The five-Likert scale was used to collect the primary data and 201 responses were properly filled and returned. SPSS was used to analyze the data collected through the questionnaire. The frequency, reliability and descriptive were calculated and explained. The results showed that there was a positive correlation between all independent variables and dependent variable. It was found that the effect of the independent variables on dependent variable was 52.9%, while the remaining 47.1 were affected by factors that were not covered by this study. In this study, it also found that training and working environment have a significantly impact on employee performance, however, reward and leadership have no significant impact on employee performance. Based on the findings, the research results were discussed and recommendations are provided for managers and future research.