Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on Dominant Factor for Academic Performance Prediction using Feature Selection Methods

All educational institutions always try to investigate the learning behaviors of students and give early prediction toward student’s outcomes for interventing and improving their learning performance. Educational data mining (EDM) offers various effective prediction models to predict student performance. Simultaneously, feature selection (FS) is a method of EDM that is utilized to determine the dominant factors that are needed and sufficient for the target concept. FS method extracts high-quality data that reduce the complexity of the prediction task that can increase the robustness of decision rule. In this paper, we provide a comparative study of feature selection methods for determining dominant factors that highly affect classification performance and improve the performance of prediction models. A new feature selection CHIMI based on ranked vector score is proposed. Analysis of feature sets of each FS method to get the dominant set is executed. The experimental results show that by using the dominant set of the proposed CHIMI method, the classification performance of the proposed models is significantly improved.
Current Status and Challenges of Agricultural Biotechnology in Nigeria: A Concise Review

The population of Nigeria is projected to exceed the United States of America (USA) by the year 2050. It is predicted that this could result in geopolitical and socioeconomic crises such as shortage of food and agricultural land. In the face of this impending calamity, it is essential to take remediation steps to safeguard the survival of future generations. One potential solution is to embrace modern agricultural biotechnology. Yet, the design, development, and adoption of agricultural biotechnologies in Nigeria remain low due to several socio-economic, ethical, health or political concerns. Besides, the slow rate of adoption and implementation of agricultural biotechnology can be ascribed to lack of knowledge, high costs, and inconsistent field performance. Therefore, this paper seeks to examine the historical and current status of agricultural biotechnology developments in Nigeria. It will also identify and highlight the various challenges plaguing agricultural biotechnologies in Nigeria. The findings revealed that agricultural biotechnology has the potential to address the looming challenges of the food crisis in Nigeria. However, the authors posit that the government and relevant research organisations, industry, and academic stakeholders need to design, develop, and implement more effective and sustainable strategies to ensure the growth and development of agricultural biotechnologies in the country. It is envisaged that the findings of this study will reinforce the debates on effective R&D and the implementation of the policies and programmes on agricultural biotechnology in Nigeria. Keywords— Agricultural biotechnology, Genetic engineering, GMO crops, Biosafety,
Imaging Place using Generative Adversarial Networks

This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
The Forest-Prairie Ecotone in Northeastern Illinois'

This paper describes the vegetation of pre-settlement times in Kane County, Illinois, and discusses its composition and pattern of distribution as shown by the General Land Office Survey notes. The "pre-settlement vegetation," or the plant cover which prevailed prior to human modification by settlement, is a strong influence on the land settlement and land use pattern of an area. Kane County is situated in northeastern Illinois about 30 miles west of Lake Michigan and 25 miles south of the Wisconsin border. The county contains 513 square miles and the topography is modified by the irregular deposition of glacial material. A prominent morainal system bounds the Fox River, the main drainage system of the county, creating a narrow, but prominent, valley (Fig. 1). The remainder is, for the most part, gently rolling and well-adapted to farming, although the northern half of the county is hillier and more dissected by ravines than the southern part. Rainfall in the region averages 34 inches a year and the mean annual temperature is about 480F. (U.S.D.A., 1941). The county is located at the edge of Transeau's (1935) 'Prairie Peninsula' in the transition region between the prairie and forest, and it is because of this ecotonal position that the area was chosen for study.
Synergistic effect of citric acid and Pediocin K1, a bacteriocin produced by Pediococcus sp. K1, on inhibition of Listeria monocytogenes

Pediocin K1, a bacteriocin produced by Pediococcus sp. Kl isolated from Korean traditional fermented flatfish, inhibited certain strains of Lactobacillus, Streptococcus, and Listeria monocytogenes. Pediocin Kl was found to be stable at 90C for 30 min. Among the organisms tested, Listeria monocytogenes was the most sensitive to pediocin K1 and was completely killed when the initial inoculum size of L. monocytogenes cells was equal to or less than 10 3 CFU/ml. The degree of inhibition of Listeria monocytogenes by pediocin K1 increased 10-fold on the addition of citric acid (0.2%) to the medium, thereby showing the synergistic effect of citric acid. Listeria monocytogenes cells resistant to pediocin K 1 appeared at a frequency of about 10 -4 /cells. Once developed after exposure to pediocin Kl, the resistant phenotype still persisted in the absence of pediocin K1 in successive cultures. This infers that resistance may be attributable to genetic change(s) in the resistant cells.
3D MODELLING OF A BUILDING ORIENTED TO INDOOR NAVIGATION SYSTEM FOR USERS WITH DIFFERENT MOBILITY CONDITIONS

Abstract. We implemented the semantic models required to develop an indoor navigation system to assist the movement of users with different physical mobility conditions inside the building of the Faculty of Agricultural Sciences of the National University of Colombia. Everything starts with the recollection of architectural data followed by an analysis and depuration of unnecessary elements (geometrically and semantically) ending with two models: 1) a CityGML model of the interior of the building (LOD4), being the data source for the IndoorGML model and for visualization, 2) an IndoorGML model, provider of the semantic network for the future application of routing algorithms. We present resulting models with the discussion of the challenges and limitations that authors face during this work.
An alternative organic diet in preventing hyperlipidemia in cholesterol- fed Sprague-Dawley rats by Arthrospira (Spirulina) platensis

This study aimed to investigate the effects of Arthrospira (Spirulina) platensis in high cholesterol-fed Sprague-Dawley rats from a blood biochemistry analysis by evaluating the total cholesterol (TC), high density lipoprotein (HDL), low density lipoprotein (LDL), triglycerides (TG), and kidney and liver function parameters (total creatinine, blood urea nitrogen, aspartate aminotransferase, and alanine aminotransferase. The highest levels of TC, LDL, and TG recorded in rats fed the high cholesterol diet were 5.85±0.16 mmol/L, 2.93±0.65 mmol/L, and 3.32±0.14 mmol/L (P<0.05), respectively. However, these cholesterol levels were significantly reduced (P<0.05) after Arthrospira supplements (150 mg/kg and 300 mg/kg) for 27 days. There were no significant changes in HDL levels for all of the treated rats. Throughout the study, the kidney and liver functions of the rats remained unaffected. In conclusion, both dosages of Arthrospira displayed tremendous potential as an anti-hyperlipidemic agent.
Portfolio Optimization Methods: The Mean-Variance Approach and the Bayesian Approach

This thesis is a discussion on the mean-variance approach to portfolio optimization and an introduction of the Bayesian approach, which is designed to solve certain limitations of the classical mean-variance analysis. The primary goal of portfolio optimization is to achieve the maximum return from investment given a certain level of risk. The mean-variance approach, introduced by Harry Markowitz, sought to solve this optimization problem by analyzing the means and variances of a certain collection of stocks. However, due to its simplicity, the mean-variance approach is subject to various limitations. In this paper, we seek to solve some of these limitations by applying the Bayesian method, which is mainly based on probability theory and the Bayes’ theorem. These approaches will be applied to form optimal portfolios using the data of 27 Dow Jones companies in the period of 2008-2017 for a better comparison. The topic of portfolio optimization is extremely broad, and there are many approaches that have been and are being currently researched. Yet, there is no approach that is proven to perform most efficiently. The purpose of this paper is to discuss two potential and popular approaches in forming optimal portfolios.
The Quest for Urban Identity: Influence of Urban Morphological Development to the Imageability of Bogor City Streets

Streets as primary circulation channels for people in moving through and to places have provided experiences and impressions as streetscapes characters become immediate sources for people in creating general image of the city. Imageable streets have become main street and representation of identity. However, city growths had always been followed by new streets developments and activities. People’s perception about the image of a city might probably change as imageable streets were altered. Bogor was known as a colonial resort city and botanical center that had undergone a dynamic process of growth and changes driven by the power of economic forces. This paper attempts to describe the influence of urban morphological development on street imageability, by comparing resident's and visitor's perception, and examining the extent of its influence to the image of the city in relation to urban identity. Conducted survey confirms that familiarity has a major influence on imageability. Morphological analysis of Bogor's street networks development reveals that street functional arrangement policy as well as development of new arterial street had an impact to street familiarity and led to some changes in the street imageability that could affect the perception on urban identity.
Development, Characterization and Pharmacokinetic Profile of Chitosan-Sodium Tripolyphosphate Nanoparticles Based Drug Delivery Systems for Curcumin

Purpose: This study aimed to provide the method of preparation, characterization of curcumin-loaded chitosan-sodium tripolyphosphate (NaTPP) nanoparticle, and evaluate its pharmacokinetic profiles. Methods: Curcumin-loaded chitosan-NaTPP nanoparticles were synthesized using ionic gelation methods. Curcumin was dissolved using surfactants and cosurfactants. Chitosan polymer was then mixed in the curcumin solution and dripped with NaTPP solution until nanoparticle formation. The mucoadhesive study was evaluated by measuring the fluorescence of curcumin within the prepared nanoparticles. The pharmacokinetic profiles of curcumin particles and nanoparticles were then assessed in rats by administering a single oral dose of 100 mg/kg BW. Blood samples were taken from nine predetermined time points, and curcumin plasma concentrations were then analyzed using UPLC-MS/MS. Results: The particle size of the curcumin nanoparticles obtained were 11.5 nm. Entrapment efficiency (EE) of curcumin nanoparticles were exceeding 99.97%, and drug loading capacity (DLC) was 11.34%. The mucoadhesive properties of the nanoparticles were superior to that of curcumin particles. Pharmacokinetic evaluation in rats revealed that curcumin nanoparticles resulted in an increase of area under the curve (AUC), maximum concentration (Cmax), earlier time to reach maximum concentration (Tmax), and lower clearance (CL). Conclusion: Curcumin-loaded chitosan-NaTPP nanoparticles is an effective formulation to improve curcumin plasma concentrations. Thus, enable its applications for the treatment of various diseases.
Formative Evaluation of UNICEF’s Monitoring Results for Equity System (MoRES)

Evaluation title: FORMATIVE EVALUATION OF UNICEF’S MONITORING RESULTS FOR EQUITY SYSTEM (MoRES) Year: 2014 Office and person in charge of management response: Programme Division, Ted Chaiban, Director Overall response to the evaluation: The formative evaluation of MoRES used an approach based on case studies and theory. The evaluation affirms that the concepts underpinning MoRES present UNICEF with a number of opportunities for achieving better results for the most disadvantaged children. It also provides important insights into the conceptual, technical and operational issues that need to be addressed in order to strengthen the approach as it is being applied in wider and more varied contexts. In addition, the evaluation provides a helpful analysis of the overall governance of MoRES and management of institutional change, noting both positive aspects and shortcomings. This analysis will be helpful for guiding the further mainstreaming of MoRES and informing major corporate initiatives in the future. Overall, the findings and recommendations of the formative evaluation – together with knowledge and insights gained from ongoing field experiences – have been very valuable in informing adjustments and adaptations of MoRES application by partners at country level to ensure that the approach fulfils its primary purpose to accelerate results for the most disadvantaged children.
Prevalence of work-related musculoskeletal disorders in agricultural farmers of Bhaktapur District, Nepal

Background: Work-related musculoskeletal disorders are present in a range of occupations. This is confirmed from a number of studies done around the world. However, few attempts have been done to document the presence of musculoskeletal disorders in occupational diseases in Nepal and there are hardly any studies done to see musculoskeletal disorders in farmers of Nepal. Nepal is an agricultural country and traditional practices in farming are adopted demanding a lot on the manual work. Objectives: Aim of this study is to find out the prevalence of musculoskeletal disorders in Bhaktapur district of Nepal. Methods: This is a descriptive cross-sectional study design. A convenience sample of 246 farmers from Bhaktapur district, Nepal aged between 24-65 years, were included in the study. The Nordic musculoskeletal questionnaire was a tool adapted to measure MSDs in the farmers. Descriptive analysis of data was done. Results: Farmers (n=246) reported pain in all the nine areas of the body mentioned in the questionnaire. More than 70% of farmers have some kind of musculoskeletal disorders. However, six major areas of pain were identified as: Neck-31(12.6 %), Shoulder-26(10.6%), Elbow- 30(12.2%), Low back- 89(36.2%), Knee- 53(21.5%) and ankle 32(13%). Conclusion: The prevalence of musculoskeletal disorders in farmers is very high. Lack of awareness about the MSDs and improper knowledge of ergonomics causes the problems.
Crystal Engineering and Molecular Architecture

The aim of this paper is to provide a link between research projects and education to optimize teaching and learning of related subjects. In a research project, three compounds including an intermolecular proton transfer compound, a hydrated carboxylic acid, and a metallic complex were synthesized, all of them have non-covalent interactions such as O−H∙∙∙O, O−H∙∙∙N and C−H∙∙∙O hydrogen bonds as well as van der Waals forces and π-π stacking resulting to different supramolecular structures. The structures of compounds are characterized by single crystal X-ray diffraction method. The classic concepts and definitions related to the subject are given in the last section.
Recommendations for Fat Scoring

Fat scoring will be most valuable for pooled analyses if banders use the same scoring scale, but currently there are many systems in use. Moreover, most scoring systems have minimal descriptions of the score criteria, so there is a good deal of scope for individual interpretation. If fat scoring is to be done at all, I recommend adoption of the Kaiser scale that is used widely in Europe, which has been well tested and which minimizes individual variation in scoring because its descriptions are so detailed. Alternatively, other scales already in use could be improved along the Kaiser model by providing detailed descriptions and illustrations to delineate the lower and upper limits of each fat class.
ERP Adoption and Acceptance in Saudi Arabia Higher Education: A Conceptual Model Development

Enterprise resource planning (ERP) systems are integrated information systems inter-connecting different functional areas within organisations. It has been widely implemented by large manufacturers globally to enhance operational excellence. However, ERP in the Higher Education sector is less accepted and research in this area still remains at its infancy. Although many higher education institutions (HEIs) have implemented ERP solutions or are in the course of implementing the ERP systems, the failure rate ERP projects within HE is much higher than in other sectors. Through critically examining the existing literature the aim of this research is to develop an extended technology acceptance model (TAM) taking into account the critical factors of ERP adoption for HEIs. Two categories of these factors have been identified from literature based upon a conceptual model is developed. It was clear from reviewing the literature that the main categories of factors that have been studied extensively and shown to be key to understanding ERP adoption and acceptance are: the individual-related factors such as computer self-efficacy and organisational-related factors such as top management.
Effects of local dexmedetomidine administration on the neurotoxicity of ropivacaine for sciatic nerve block in rats

Dexmedetomidine, used as an adjuvant to local anesthetics (LAs), may prolong the duration of peripheral nerve block. However, the effect of dexmedetomidine on the neurotoxicity of LAs is not completely understood. The present study was designed to investigate the efficacy of two doses of dexmedetomidine as an adjuvant to ropivacaine and its protective effect against the neurotoxicity of LAs. Paw withdrawal thermal latency testing was used to detect the sensory blockade. Extensor postural thrust testing was used to detect the motor blockade. The results demonstrated that the addition of dexmedetomidine to ropivacaine prolonged the duration of sensory and motor blockade in a dose-dependent manner compared with ropivacaine alone. TUNEL staining was performed to examine apoptosis. Western blotting was used to detect the Cleaved caspase-3 expression levels. The results showed that the addition of dexmedetomidine to ropivacaine decreased the rate of apoptosis and caspase-3 expression levels in a dose-dependent manner compared with ropivacaine alone (P<0.05). In addition, the rate of apoptosis and caspase-3 expression levels were significantly lower in the high-dose dexmedetomidine group compared with the low-dose dexmedetomidine group (P<0.05). The results suggested that the addition of dexmedetomidine to ropivacaine for sciatic nerve block in rats not only prolonged the duration of sensory and motor block of the sciatic nerve, but also markedly alleviated ropivacaine-induced neurotoxicity by decreasing caspase-3-dependent sciatic nerve cell apoptosis. Furthermore, the present study indicated that dexmedetomidine was more effective at a dose of 20 µg/kg compared with 6 µg/kg.
Investigation of pesticidal ability of humic acid derived from palm oil Empty Fruit Bunch (EFB) vermicompost

Purpose Humic Acid (HA), a plant’s growth promoter readily available in compost was found to have insect repelling functional groups. This study was conducted to investigate the pesticidal ability of HA extracted from Empty Fruit Bunches (EFB) vermicomposts at Carbon to Nitrogen (C:N) ratio of 25, 30 and 35. Methods The vermicomposts were prepared using EFB, a palm oil mill by-product as the base material with underutilized organic wastes (fishmeal, bonemeal, and bunch ash) as additives to enhance the macronutrients of vermicomposts. Composting was conducted for 52 days with earthworms as composting agents. HA (mass yield of 2.34 – 2.63%) was extracted from the matured vermicomposts through alkaline extraction before acid precipitation. The insect repelling effectiveness of HA, Garlic Extract (GE) and 87% GE + 13% HA was evaluated by spraying them onto soil samples in different compartments with crickets. Results Vessel with lesser crickets indicates agent sprayed repels insect better. Results showed 87% GE + 13% HA repels insect most effectively, followed by 100% HA and lastly 100% GE. The macronutrients (Nitrogen, Phosphorus and Potassium) were improved upon mixing additive materials to the vermicompost. Conclusion HA alone possesses some ability to repel crickets. It performs better when it is coupled with GE as HA acts as a diluent to promote GE absorption into soil thus enhancing the pesticidal effect. This demonstrates EFB has potential as a precursor material for high value vermicompost with insect repellent ability, thus presenting an opportunity for respective industries to generate value-added products while solving by-product underutilization issue.