Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics of ensiled cassava leaves and maize stover as dry season feed for ruminants

Insufficient quantity and quality of feed for ruminants during the dry season is a major limiting factor for effective production and management. Smallholder farmers generate large crop residues in the wet season, which are rich in nutrients in which ruminants can feed on in the dry season by proper ensiling. Cassava Leaves (CL) and Maize Stover (MS) residues were thus ensiled to evaluate their nutritional qualities as feed for ruminants. Fresh cassava leaves and maize stover were collected, chopped and wilted. Silages were prepared as: T1 (100%CL), T2 (100%MS), T3 (50%CL+50%MS), T4 (25%CL+ 75%MS) and T5 (75%CL+25%MS). Ensiling lasted for 21 days after which they were opened to determine the quality using physical assessment of colour, smell, texture, pH and temperature. Chemical composition of the silages comprising Crude Protein-CP, Crude Fibre-CF, Ether Extract-EE, ash content, Acid Detergent Fibre-ADF, Neutral Detergent Fibre-NDF and Acid Detergent Lignin-ADL were assessed. Nutritive values of the diets were evaluated using in vitro fermentation technique to determine Total Gas Production (TGP), methane, Metabolizable Energy (ME), Short Chain Fatty Acids (SCFA) and Organic Matter Digestibility (OMD). Coefficient of Preference (COP) was determined using a cafeteria feeding technique. Olive-green colour, alcoholic smell and firm texture were observed in the silages. The pH ranged from 4.13 to 4.73 while higher pH was observed in 100%CL. The temperature was between 31°C and 32ºC. The values obtained for the DM ranged from 64.37 to 67.9%. The CP values varied between 8.64 and 19.68%. The lowest CP of 8.64% was observed in T2 (100%MS) while 19.68% was obtained in T1 (100%CL). The ash content ranged from 8.65 to 13.00% and the CF value varied from 33.70 to 40.39%. It was observed that 100%MS had significantly (P<0.05) higher CF (40.39%) compared to other treatments. The EE values varied between 4.45 and 5.22%. The EE value in 100%CL (5.22%) was significantly (P<0.05) higher compared to other silage treatments. The NDF, ADF and ADL values varied from 62.70-69.80%, 43.95-47.90% and 22.95-25.80%, respectively and significant differences were observed. The total gas volume ranged from 8.33 to 13.8mL, methane 5.3 to 7.6, OMD (32.72-42.5%), ME (4.06-5.28kCal) and SCFA (0.15-0.27). The CoPof the silages was ≥to the unity of one with the exception of T2. It can be concluded that, combinations of 50% cassava leaves and 50% maize stover could be used as feed for ruminants.
TEXTURE CLUSTERING OF SATELLITE IMAGES USING SELF-ORGANIZING NEURAL NETWORK

: The goal of this paper is to present a texture clustering system for remote sensing image data. Texture information is useful for image data browsing and retrieval. Authors present the results of self-organizing neural network design for solving the clustering task of gray scale remote sensing image data. The architecture of neural network and the learning algorithms for this network such as: algorithm WTA (Winner Takes All), algorithm CWTA (Winner Takes All with Conscience) and classic Kohonen algorithm WTM (Winner Takes Most - the Winner receives more) are considered. Some experimental results using textures of the Brodatz album, multi-spectral and radar images are also represented.
EMPLOYEES’ ENGAGEMENT AS A DETERMINANT OF NURSES’ PERFORMANCE IN LAGOS STATE PUBLIC HOSPITALS

The concept and discourse on Employee Engagement is fast becoming an emergent concern in the field of human resource management and in literatures. Therefore, the purpose of the study is to investigate the relationship between Employee Engagement and Performance of Nurses in Lagos State Public Hospitals. A quantitative approach was used and data for this study were collected from two (2) selected public hospitals. The main instrument of data collection is questionnaire. The questionnaire was given to 180 nurses who were selected based on purposive sampling techniques, finally 166 (92.5%) usable responses were received that were used for further analysis. The hypothesized relationships were used using Pearson Product Moment correlation analysis. The study showed that perceived supervisor support, perceived organisation support and reward and recognition play a significant role at confirming employee engagement level in the healthcare industry. The study therefore recommends that organisations should put in place appropriate measures that can guarantee employee involvement which will in turn influence higher performance of employees.
Comparative Analysis of Sentiment Analysis on Social Media

For past few years, the World Wide Web has turned into an immense wellspring of client produced content and opinionative information. Utilizing web-based life, for example, Instagram, Facebook, twitter, etc., users share their views and feelings in an advantageous manner. Web-based social networking, for example, Instagram, Facebook, twitter, etc., where a huge number of individuals prompt their individual perspectives in their everyday communication, which may be their assumptions & sentiments about specific thing. These consistently developing emotional information are, without a doubt, an incredibly rich wellspring of data for any sort of basic leadership method. To computerize examination of such information, region of Sentiment Analysis has been developed. It goes for recognizing opinionative information in the Web & characterizing it as indicated by their polarities. , regardless of whether they convey a positive/negative implication. Assessment Study is an issue of content-based examination, yet there are a few difficulties that make it troublesome when contrasted with conventional content-based investigation This unmistakably expresses there is need of an endeavor to move in the direction of these issues and it has opened up a few open doors for future research for taking care of refutations, concealed assumptions ID, slangs, polysemy. Be that as it may, the developing size of information requests programmed information examination strategies. In this paper, a literature review on various strategies utilized in the Sentiment Analysis is done to comprehend dimension of the work.
Study the effect of turnip leaves on tumor cells in vitro and in vivo

Vegetables and its by-products become and still play an important role in human nutrition and health, they are rich in phytonutriceuticals as vitamins, minerals, dietary fiber, phytochemicals and antioxidants. So, this work was carried out to study the effect of feeding tumoredmice on 5% turnip (Brassica rapavar.rapa L) leaves powder on tumor cell volume, cell viability, oxidative stress, antioxidants enzymes activities and functions of liver and kidney in female Swiss Albino mice. The results showed that the turnip leaves powder had high nutritional value; which it is rich in minerals, fiber, phenolic and flavonoid compounds. Moreover, as a result of feeding tumored female mice on turnip leaves powder 5% caused a significant(p≤0.05) decrease in volume and count (cell viability) of tumor cell for both preventive and therapeutic groups compared to the positive control group. Meanwhile, the therapeutic group revealedthe highest percentage of inhibitory for tumor cell. Moreover, the results indicated that the levels of MDA were significantly decreased, and levels of SOD and CAT were significantly(p≤0.05) increased for both preventive and therapeutic groups compared to the positive control group in liver tissues homogenate. Furthermore, liver enzymes and kidney function as urea nitrogen and creatinine of tumored female mice were decreased as a result of feeding on turnip leaves powder. So, the therapeutic group feeding on 5% turnip leaves had the lowest levels of all these analyses compared to the positive control group. Finally, turnip leaves powder and its ethanolic extract had antitumor activity against MCF-7 cells (human breast cancer cell line)in vitro and Ehrlich ascites carcinoma (EAC) in vivo. Also, it enhances the antioxidants enzymes activities in addition, turnip leaves powder caused improvement in liver and kidney function in female Swiss albino mice. So, it can be usedin preparing traditional foods for prevention and supplementation foods for cancer patient during therapeutic period.
Comparison among four maize varieties in conventional and low input cultivation

In this work we compared, using a randomized block design, four early maize (Zea mays L.) varieties: three traditional varieties (Millo Corvo, Scagliolo, Agostanello) and one modern hybrid (LG 25.38) grown in conventional vs low input farming. We recorded different agronomic parameters and we performed bromatological and ICP-MS analyses, and also quantified carotenoids, anthocyanins and mycotoxins. The analysis of agronomic parameters showed a general trend of better yields from conventional farming. Bromatological analysis did not show significant differences, we found more differences among varieties than between conventional and low input farming. Regarding minerals analysis, with the exception of the iron content, which was significantly higher from low input farming, we found high variability among the genotypes studied. The anthocyanins content, analyzed in the colored variety Millo Corvo, showed a statistically higher value in low imput farming. Finally, in both cultivation methods the level of fumonisins contamination was under the threshold limit. Taken together our data suggest that the effect of the genotypes was considerably higher than the effect of the cultivation method, hence it is the choice of the variety that will determine the nutritional value of the product harvested. Maize cultivated in conventional vs low input farming
RECONSTRUCTING EXTREME RAINFALL FIELDS IN HAITI RECONSTRUIRE DES CHAMPS DE PLUIE EXTREME EN HAÏTI RECONSTRUCCIÓN HISTÓRICA DE LOS CAMPOS DE LLUVIA EN HAITÍ

A description of the main objectives of urban drainage works in the environmental and hydraulic aspects is presented. It is mentioned the corrective actions related to the optimal operation of a rainwater management system, as well as the importance of having the intensity-duration and frequency curves for the design of works and hydraulic utilization. Employ 24-hour maximum rainfall data from 43 climatological stations, satellite images and in particular from nine stations with extensive records from 1997 to 2003, the intensity-duration and return period curves are calculated. Using the formulations proposed by Sherman and Bell, maps of intensities are created for periods of return of 10, 25 and 50 years; Taking into account durations of 10, 30, 60, 120 and 240 minutes. The results of this work present a collection of maps that allow knowing the spatial distribution of precipitation intensities throughout the country, which can be used in the design of works and in the reconstruction of the country’s infrastructure.
A novel approach: big data analysis based on multi-view data visualization using clustering similarity measure

In big data, data visualization is annotable concept to represent data for competent data analysis to handle high dimensional data. In data visualization, there are three main properties i) to characterize without loss of data patterns ii) without any changes in data pattern change the attributes iii) data visualization among structure and unstructured data attributes for data examination. There are various types of data visualization are existing virtually to identify data analysis (i.e. topic based data revelation, attribute based data visualization, audio based data visualization and text based data visualization in different data sets). Parallel coordinate is proficient and effective data visualization tool to analyze and handle multi attribute high dimensional data. It is based 5Ws density sending and receiving data visualization, it also read data patterns and attributes with reduces the overlapping to data patterns. Parallel measure is a labeling property to characterize data with affiliation objects in data set appraisal with different pair of attributes. We need to get better parallel coordinate tool to sustain multi-attribute object relations, so we recommend and implement novel method i.e. (Similarity Measure Centered with Multi Viewpoint (SMCMV)) approach and related clustering approaches to represent data. Using multi-viewpoint, we can accomplish assessment based similarity index with data visualization. Using multi viewpoint, we present hypothetical analysis based on multi attributes presentation. Our experimental results gives best data representation in data visualization with capable similarity measure on real time document evaluation with different known collected clustering approaches.
Minimising The Estimation Error Of Forecasting The Electricity Consumption In Malaysia

This paper presents a study on minimising the estimation error of forecasting the electricity consumption in Malaysia. A robust and accurate forecasts of electricity consumption are deemed crucial for the supplier to arrive on fair estimations of electricity supply optimally. Thus, identifying the best model to forecast the electricity consumption accurately may hinder energy wastage. This research aims to examine which model gives the least error in estimating the future electricity consumptions in Malaysia. Two models were tested namely Artificial Neural Network (ANN) and Regression Methods. In analysing these models, this research applies the Microsoft Excel and SAS Enterprise Miner (SAS) software. The data were extracted from the Department of Statistics Malaysia (DOSM), CEIC Data Company and The Statistics Portal. Results indicate that ANN produces least error as compared to the Regression Method as the former fits the data well whilst the latter overfits the data. The ANN model uses NNTool from MATLAB is used for forecasting future electricity consumption. The forecasted values (2020-2022) proved to provide more interpretable forecasts. This study may benefit the electricity supplier, consumers and also the Government of Malaysia, in particular the Ministry of Energy and Natural Resources. It may provide insights on estimating the optimum amount of energy to be generated. This will definitely increase the savings and reduce wastage from every angle. Ultimately, the environment is saved too.
Reliability and Construct Validity of the Malay Version of Subjective Experience Exercise Scale (SEES) Among Smokers

SEES is an instrument used to examine the affective state of exercise associated with mood. This study was aimed to determine the psychometric properties of Malay version. The original scale underwent forward and backward translation, cognitive debriefing and field testing. The psychometric properties were evaluated based on reliability and construct validity among 152 smokers. The translated SEES had shown satisfied reliability with Cronbach alpha of 0.80, 0.73 and 0.73 and a significant positive correlation with Profile of Mood Scale (POMS). The current study provides psychometric evidence for an appropriate, reliable and valid tool for SEES Malay version. Keywords: Translation validation; Subjective Exercise Experience Scale; Construct validity eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bsby e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5iSI3. 2572
PROBLEMY EKOROZWOJU – PROBLEMS OF SUSTAINABLE DEVELOPMENT

This study aims to discuss the impacts of intellectual capital and corporate character on sustainable competitive advantage. The structural equation model is used to analyze the relationships between intellectual capital, corporate character and sustainable competitive advantage, which are mediated by technological innovation and business model innovation, based on a survey of 377 observations in China. The empirical results indicate that the intellectual capital and corporate character are as the doors that enterprises can open to acquire technological innovation and business model innovation, which are b eneficial to achieving and maintaining sustainable competitive advantage. The findings provide some implications for entrepreneurs that their enterprises should focus on the coordination and balance of intellectual capital and corporate character for better achieving the perfect integration of cost leading strategy and differentiation strategy on the basis of mixing technological innovation and business model innovation together. Such strategy helps enterprises to realize sustained growth. This study provides scholars a new binary perspective to explore the source of sustainable competitive advantage.
A Review on the Adsorption Studies of Tetracycline onto Various Types of Adsorbents

Over the past few decades, the usage of antibiotics is growing on a rapid phase. The continuous use in the treatment against several bacterial infections paves a way to increased resistant strains. Environmental pollution created by antibiotics is considered as a serious problem though no toxic reports were known until now. The pharmaceutical compounds present in the environment are known as “Emerging Pollutants. ” Among antibiotics, tetracycline (TET) class of drugs were known to exist for several years. Within 3–4 years of the discovery of the first class of TET, the resistant strains were also identified. TET usage is not only limited for human therapy but also greatly used in veterinary and agricultural purposes. These compounds have been detected in the environment, especially in aquatic farms, groundwater, surface water, etc., thus, it becomes vital to take some measures in removing these compounds from the ecosystem to some extent. Many degradation methodologies and mechanisms were applied to remove TET but were highly limited to synthetic effluents. Adsorption is a common practice at the industrial level, especially in effluent treatment processes. In this study, removal of TET through adsorption using various adsorbents was reviewed extensively.
Application of Chebyshev neural network to solve Van der Pol equations

In dynamics, the Van der Pol oscillator is a non-conservative oscillator with non-linear damping. The problems of single-well, double-well and double-hump Van der Pol-Dufing equations are studied in this paper. The Chebyshev Neural Network (ChNN) model will be applied to obtain the numerical solutions of these types of equations for the first time. The hidden layer is eliminated by expanding the input pattern by Chebyshev polynomials which employs a single layer neural network. In order to modify the network parameters and to minimize the computed error function, a feed forward neural network model with error back propagation principle is used. The obtained numerical results form the ChNN model will be compared with the analytical solutions, namely Homotopy Perturbation Method (HPM), Homotopy Analysis Method (HAM), Differential Transform Method (DTM) and exact. Comparisons of the solutions obtained with existing numerical results show that this method is a capable tool for solving this kind of nonlinear problems.
Regression Test Case Prioritization: A Systematic Literature Review

The techniques associated with the Test Case Prioritization (TCP) are used to reduce the cost of regression testing to achieve the objectives that the modifications in the target code would not impact the functionality of updated software. The effectiveness of the TCP is measured based on the cost, the code coverage, and fault detection ability. The regression testing techniques proposed so far are focusing on one or two effectiveness parameters. In this paper, we presented a state-of-art review of the approaches used in regression testing in detail. The second objective is to combine these effective adequacy measures into a single or multi-objective TCP task. This systematic literature review is conducted to identify the state-of-the-art research in regression TCP from 2007 to 2020. The research identifies fifty-two (52) relevant studies that were focusing on these three selection parameters to justify their findings. The results reveal that there were six families of regression TCP in which meta-heuristic regression TCP were reported in 38% and generic regression TCP techniques in 31%. The parameters used as prioritization criteria were cost, code coverage, and fault detection ability. The code coverage is reported by 38%, cost in 17%, and cost and code coverage in 31%. There were three sources for datasets were identified named Software artefact Infrastructure Repository (SIR), Apache Software Foundation, and Git Hub. The measurement and metrics used to validate the effectiveness are inclusiveness, precision, recall, and retest-all. Keywords—Software testing; regression testing; test case prioritization; cost; code coverage; fault detection ability
EFFECTS OF HYDROTHERMAL AGEING ON THE MICROBOND INTERFACIAL SHEAR STRENGTH OF NaOH TREATED SISAL FIBRE REINFORCED POLYESTER COMPOSITES

Engineering structural failures can be related to the fracture of one or more of the constituent materials that form a composite. Such failures often occur unpredictably and suddenly. It is, therefore, necessary to minimise undesired failures and their consequences when designing and analysing modern-day structures. To suitably design structural components, not only do the fundamental mechanical properties of the components’ material constituents need to be known, but also the effects of the service environment on these properties. Moisture is one critical environmental factor that can be destructive to properties of composite materials. Composite constituent components, most especially in natural fibrereinforced composites constantly absorb or desorb moisture due to varying temperature and relative humidity levels in their service environment. In this regard, this paper presents results of a study on the influence of hydrothermal effects on the composite material microbond interfacial shear strength as a function of ageing period under different thermal loading states. Results from the microbond test coupled with Scanning Electron Microscope (SEM) fractographic analyses indicate that debonding is an established fracture mechanism in this hydrothermally aged NaOH treated sisal fibrepolyester composite systems.
Equity liquidity, firm investment and financial performance: An assessment of the role of financial development

This paper examines the impact of equity liquidity (EQLQ) on firm performance (FPER) and firm investment (FINV) decisions. It also examines whether financial sector development (FSD) decreases the importance of EQLQ for firms’ financial performance and investment policy. An unbalanced panel dataset for 360 non-financial Pakistani firms covering the period 2001-2018 is used. The results suggest that increased EQLQ has significant positive impacts on firms’ investment decisions and financial performance. However, we find that enhanced FSD significantly reduces the investment-favoring and performanceenhancing role of EQLQ. The findings on the effects of EQLQ on both FINV and FPER are consistent with the several theoretical channels identified in literature. The evidence on the moderating role of FSD is also inline with our theoretical conjecture. The findings have several implications for investors, managers, and