Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of market access for power seller under the policy of selling electricity

The power market access mechanism under the policy of selling electricity is the basic link of the reform of the power system. First, combining related policy, this paper constructs the evaluation index system of market access for power sellers, and defines the access conditions of the power sellers. Then, AHP and entropy weight method are applied to empower each index. Finally, the standard data and comprehensive evaluation method are used to evaluate and sort the power sellers. And according to the actual situation of electricity market and market capacity, select the appropriate enterprises to participate in the electricity transaction by ranking results.
Employee attitude and customer satisfaction in selected hotels in Kampala, Uganda

This study adopted a cross sectional survey design to investigate the effect of employee attitude on customer satisfaction in selected hotels in Kampala, Uganda. Using simple random sampling, 179 hotel employees were considered in the study. The findings revealed that employee attitude was generally poor ((mean = 1.09), while customer satisfaction was at moderate (mean = 1.89) levels. The study also revealed a significant positive relationship between employee attitude and customer satisfaction among the selected hotel employees (R2=0.558, P<0.05). The conclusion drawn was that employee attitude was a suitable predictor of customer satisfaction in the selected hotels. The recommendation was given that then owners and hotel management have to focus on facilitating employee development, engagement and empowerment to enable them develop a more positive attitude towards their job.
A Survey on Big Data in the Media and Entertainment Industry

Big Data has affected all industries, including the media dan entertainment industries. The popularity of using mobile devices and the internet has changed the way people enjoy entertainment. This popularity also generates data streams from many sources with various data formats and large volumes, known as big data. Carrying out big data analysis can help the media industry and entertainment achieve its goals, like providing content that makes users happy, provides user experience, and increases profits. Many researchers have conducted research on the use of big data in the media and entertainment industries. The purpose of this paper is to provide an overview of the problems, challenges and various technologies related to Big Data in the media and entertainment industries. Keywords—big data, media, entertainment
Quantifying energy storage augmented capacity value of wind generation in electricity market

Wind generation has been regarded as the most promising source of renewable energy. Many utilities and electricity markets around the world are, however, finding the task of integrating wind generation into the system very challenging due to its uncertainty and intermittency. Hence, confidence shown by majority of utilities and electricity markets in wind generation as a capacity source is extremely low. These challenges have spurred a wide range of research activities in this area, and many perceive energy storage technology has a potential solution to mitigate the adverse impacts of these uncertainties and intermittencies. This paper presents a methodology to model energy storage in conjunction with wind generation to quantify their contribution to system adequacy, and to assess the ability of energy storage to augment capacity value of wind resources in meeting acceptable reliability criteria. A study has been conducted in a test system with large wind penetration operated with energy storage. A range of studies are presented considering various market operating scenarios to illustrate the contribution to augmenting capacity value to the intermittent sources in energy system planning. Furthermore, the contribution of energy storage towards capacity deferral and reliability enhancement has been assessed for different electricity market scenarios.
FAULT TOLERATING MECHANISM IN DISTRIBUTED COMPUTING ENVIRONMENT

— Large scale distributed systems encompass heterogeneous computational machines, workloads and sub-systems dispersed diversely across the cloud environment. These sub-systems frequently encounter faults and failures due to different data structures, hardware/software malfunction, and communication delay. To speed up computation in such a situation a fault tolerating infrastructure is implemented by adopting a machine learning approach. Under machine learning, an artificial neural network (ANN) captures, manipulates, and updates the states and behaviors of the sub-systems in the servers and worker's machines. Multiple layers of neurons (i. e., deep learning) can handle large scale distributed systems with large datasets. Adopting the variants of a stochastic gradient descend algorithm on sub-systems (also known as computational nodes) the efficiency, and reliability of a distributed system are enhanced significantly. In high-performance computing (HPC) applications fault tolerance mechanisms must be embedded to recover from system failures.
Trade-Offs between Urban Green Space and Densification: Balancing Outdoor Thermal Comfort, Mobility, and Housing Demand

Urban green spaces reduce elevated urban temperature through evaporative cooling and shading and are thus promoted as nature-based solutions to enhance urban climates. However, in growing cities, the supply of urban green space often conflicts with increasing housing demand. This study investigates the interplay of densification and the availability of green space and its impact on human heat stress in summer. For the case of an open-midrise (local climate zone 5) urban redevelopment site in Munich, eight densification scenarios were elaborated with city planners and evaluated by microscale simulations in ENVI-met. The chosen scenarios consider varying building heights, different types of densification, amount of vegetation and parking space regulations. The preservation of existing trees has the greatest impact on the physical equivalent temperature (PET). Construction of underground car parking results in the removal of the tree population. Loss of all the existing trees due to parking space consumption leads to an average daytime PET increase of 5°C compared to the current situation. If the parking space requirement is halved, the increase in PET can be reduced to 1.3°C–1.7°C in all scenarios. The addition of buildings leads to a higher gain in living space than the addition of floors, but night-time thermal comfort is affected by poor ventilation if fresh air circulation is blocked. The protection of mature trees in urban redevelopment strategies will become more relevant in the changing climate. Alternative mobility strategies could help to reduce trade-offs between densification and urban greening.
ON THE FAMILY OF ELLIPTIC CURVES X + 1/X + Y + 1/Y + t = 0.

We study various properties of the family of elliptic curves x+1/x+y+1/y+t = 0, which is isomorphic to the Weierstrass curve E t : Y 2 = X ( X 2 + ( t 2 4 - 2 ) X + 1 ) . This equation arises from the study of the Mahler measure of polynomials. We show that the rank of E t ( Q ¯ ( t ) ) is 0 and the torsion subgroup of E t ( Q ( t ) ) is isomorphic to Z ∕ 4 Z . Over the rational field Q we obtain infinite subfamilies of ranks (at least) one and two, and find specific instances of Et with rank 5 and 6. We also determine all possible torsion subgroups of E t ( Q ) and conclude with some results regarding integral points in arithmetic progression on Et .
EFFECT OF USING THE STRATEGY OF SIMILARITIES IN TEACHING SOME BASIC SKILLS OF BASKETBALL FOR STUDENTS OF THE SECOND INTERMEDIATE

The modern teaching methods, and their importance in achieving the desired learning goals for the individual and the society, have been addressed, as it is necessary to develop the methods, ways and strategies used in the process of teaching the intermediate stages in the various fields in general and the field of physical education in particular, the importance of research is the effect of using the strategy of similarities in teaching some basic skills of basketball for students of the second intermediate. As for the problem of research, the researcher mentioned the lack of use of teachers’ strategy method similarities in the educational units because of its importance, and after study and analysis the researcher found it necessary to improve teaching methods to reach students to a better level of learning in general and learn some basic skills of basketball in particular, and for the purpose of knowing the impact of using the strategy of similarities in learning some basic skills in basketball. The researcher used the experimental method for its suitability and the nature of the research, and the sample consisted of 15 intermediate stage school students of Hittin in Baghdad. Some conclusions related to learning some of the basic skills of the basketball were reached according to the strategy of similarities and taking into account their importance in the output of the lesson as an important educational strategy, and recommended to disseminate this idea to schools alike, because of its effective impact in delivering the educational material faster to students.
AutoODE: Bridging Physics-based and Data-driven modeling for COVID-19 Forecasting

As COVID-19 continues to spread, accurately forecasting the number of newly infected, removed and death cases has become a crucial task in public health. While mechanics compartment models are widely-used in epidemic modeling, data-driven models are emerging for disease forecasting. In this work, we investigate these two types of methods for COVID-19 forecasting. Through a comprehensive study, we ﬁnd that data-driven models outperform physics-based models on the number of death cases prediction. Meanwhile, physics-based models have superior performances in predicting the number of infected and removed cases. In addition, we present an hybrid approach, AutoODE , that obtains a 57.4% reduction in mean absolute errors of the 7-day ahead COVID-19 trajectories prediction compared with the best deep learning competitor.
A study on social big data analysis using text clustering

Background/Objectives: As the use of big data increases in various fields, the use of social big data analysis for social media is increasing rapidly.This study proposed a method to apply text clustering for analysis by related topics of texts extracted using text mining of social big data. Methods/Statistical analysis: R was used for data collection and analysis, and social big data was collected from Twitter. The clustering model applicable to the related subject analysis of Twitter text was compared and selected and text clustering was performed. Text clustering is analyzed through a cluster dendrogram by generating a corpus, then grouping similar entities from the term-document matrix, and removing the sparse words. Findings: In this study, text clustering improves the difficulty in analyzing by word association and subject in text mining methods such as word cloud. Especially, in the text clustering model for the related topic analysis of social big data, the hierarchical clustering model based on the cosine similarity was more suitable than the non-hierarchical model for identifying which terms in the tweet have an association with each other. In addition, cluster dendrogram has been found to be effective in analyzing text contexts by grouping several groups of similar texts repeatedly in the visualization process. Improvements/Applications: This study can be used to confirm ideas and opinions of various participants by using Social Big Data, and to analyze more precisely the complex relationship between the prediction of social problems and the phenomenon.
Digestive fate of transgenic DNA and protein in livestock tissues fed genetically modified feed ingredients: A review

The digestive fate of ingested transgenic DNA and/or proteins in livestock fed a diet containing genetically modified (GM) feed is at present the topic of scientific discussion. A number of studies have investigated the possible transfer and accumulation of novel DNA and/or proteins from transgenic plants in tissues samples of various livestock species, but the data reported are sometimes controversial. Therefore, this study aimed to evaluate the potential transfer and accumulation of transgenic DNA/ proteins from transgenic feed ingredients to livestock through reviewing scientific publications on experimental studies in large and small ruminants, monogastric and fish. Most of the studied experiments were conducted in Europe, and in majority these experiments, transgenic maize or soybean, or both, expressing insect resistant or herbicide tolerant or combination of both, were fed to the experimental animals. More than 50% of the experimental studies evaluated, reported the detection of transgenic DNA/protein from a number of analyzed samples of various livestock species. Transgene detection either in form of DNA or protein was more prevalence in the experimental studies when monogastric animals or fish were used as the experimental animals. Although, these transgenes were also detected in the tissues, organs and products of large and small ruminants, yet the detection frequency was less when compare with that in non-ruminants and fish. Thus overall, findings from this study indicated that transgenic DNA is not completely degraded during feed processing and digestion and that DNA fragments could be detected by well-established detection methods such as PCR or qPCR in a number of organs and tissues of livestock animals.
An Anonymity Preserving Framework for Associating Personally Identifying Information with a Digital Wallet

Article history: Received: 23 October, 2020 Accepted: 19 December, 2020 Online: 10 January, 2021 Growing adoption of cryptocurrencies by institutional investors coupled with recurring incidents of loss of access to digital wallets have resulted in emergence of custodial services for high net worth individuals and institutions. However, such services are not economically feasible for the wider community of crypto owners who are left with no recourse for recovery of lost funds. This paper proposes a framework, AFAP, for associating certain personally identifying information with a digital wallet so that a user may prove ownership of the said wallet. Thus, the owner is able to establish his/her claim over funds associated with such a wallet in case of loss of access to it. We show that the proposed scheme has no adverse effect on anonymity, privacy and forgetfulness of personal information of the wallet owner.
Structural Stability of LiNiO2 Cycled above 4.2 V

A spherical stoichiometric LiNiO2 particle, which was composed of compactly packed nanosized primary particles, was prepared and cycled at different cutoff voltages to explicitly demonstrate the effect of phase transitions during Li deintercalation/intercalation on the Li-ion intercalation stability of LiNiO2. The capacity retention was greatly improved by suppressing the H2 → H3 phase transition at 4.1 V, such that 95% of the initial capacity (164 mAh g–1) was retained after 100 cycles when cycled at 4.1 V. At 4.2 and 4.3 V, continuous capacity loss (81% of 191 mAh g–1 at 4.2 V and 75% of 232 mAh g–1 at 4.3 V after 100 cycles) was observed during cycling, and these electrodes incurred extensive structural damages (micro-, hairline and nanoscale cracks observed by transmission electron microscopy) from the repeated lattice contraction and expansion accompanying the H2 → H3 transition, in agreement with the cycling data.
PERFORMANCE OF SILVER MONTAZAH HENS FED MASH OR PELLETED DIETS CONTAINING CORN-WITH-COBS MEAL WITH OR WITHOUT ENZYME SUPPLEMENTATION

A factorial experiment (4×2×2) was conducted to evaluate the response of laying hens to feeding experimental diets containing graded levels of corn-with-cobs meal (0, 10, 20 and 30%) with or without Kemzyme supplementation (0 and 1 g/kg diet) in the form of mash or pellets. Thus, 16 isocaloric and isonitrogenous diets were formulated and used from 28 to 52 weeks of age. A total of 384 Silver Montazah laying hens were randomly chosen, individually caged in an open sided house and exposed to a daily photoperiod of 16 hr, and managed similarly. All hens were fed their respective experimental diets and had free access to water throughout the experimental period. The most important results obtained could be summarized as follows: Dietary level of corn-with-cobs meal (CCM) had no significant effects on body weight change, feed consumption, egg weight, egg shape index and yolk index or serum total protein, albumin, calcium, inorganic phosphorus, or activity of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in blood serum of hens. Increasing dietary level of CCM positively affected feed conversion, egg production rate and egg mass. In addition, Haugh units and serum and egg cholesterol were significantly increased when the level of CCM reached 30%. However, neither dietary enzyme supplementation nor diet form (mash vs. pellets) had significant effects on body weight change, feed consumption, feed conversion, egg production rate, egg weight, egg mass, shell thickness, egg shape index, yolk index, Haugh units or egg cholesterol, or serum levels of total protein, albumin, cholesterol, calcium, inorganic phosphorus, and activity of ALT and AST in blood serum. According to the obtained results, corn-with-cobs meal can be included up to 30% in diets of Silver Montazah laying hens, without compromising their productive performance or egg quality, with no need for pelleting the diets or adding exogenous enzymes.
Yield, quality and cost of jute (Corchorus species) seed production as influenced by herbicide application time

Jute is the most important fibre crop for Bangladesh and second important for world. Bangladesh requires about 6000 tons of jute seed. Among this quantity Bangladesh produce whole amount of Corchorus capsularis L. (white jute) seed but only very little amount of Corchorus olitorius L. (tossa jute) seed. Production of tossa jute seed is not too profitable because of high production cost for that reason farmers of Bangladesh are not interested to produce seed of tossa jute. And production cost of jute seed is mainly associated with labor cost that is mainly for weeding. This study was conducted to assess the best herbicide application time to enhance seed productivity, quality and reduction the cost of production. In this experiment two Corchorus species were grown using three different herbicide application times and no herbicide application used as control. The results indicated that for tossa jute (BJRI tossa pat-8) maximum plant population, plant height, branch/plant, capsule/plant, seed/capsule, seed yield, germination capacity, field emergence capacity, seed vigour and CVG were found in Control plot. Maximum 1000 seed weight and MGT were recorded in herbicide applied at 13th days after cutting transplanting. Maximum capsule length found at 10th days of herbicide application. For white jute (CVL-1) highest plant population, plant height, branch/plant, seed/capsule, capsule length, germination capacity, field emergence capacity, seed vigour and CVG were recorded in control plot. Highest capsule/plant, 1000 seed weight and seed yield were found in herbicide applied at 13th days after cutting transplanting. Maximum MGT found in herbicide applied at 16th days after cutting transplanting. Result revealed that herbicide use reduce the production cost of jute seed compare to manual seed production technology.
LIGHTWEIGHT CRYPTOGRAPHY ALGORITHMS FOR POINTS ADDITION AND POINT DOUBLING ON JACOBI ELLIPTIC CURVES USING ANCIENT MATHEMATICAL TECHNIQUES

A BSTRACT . This paper includes lightweight cryptography efﬁcient algorithms for point additions and point doubling on Jacobi elliptic curve using Ancient Mathematics Techniques (AMT). AMT reduces the time complexity occurring in point doubling and point addition in Jacobi elliptic curves namely, Jacobi In-tersections curve, Jacobi Quartic curve and twisted Jacobi Intersections curve. To get the square of any numbers we have used the Dvandva-yoga technique and Urdhva-tiryagbhyam technique is used for the multiplications of any numbers. MATLAB for 16-bits and 32-bits multiplications and squares is used for coding and synthesis. The results we obtained indicated that the AMT based methodology shows better and reliable operational performance compared to conventional methods, in the term of speed, processing time and power consumption of multipliers. The beneﬁts or effect of using some AMT over Jacobi elliptic curves was examined and explained with graphs and tables.
In-vivo anthelmintic efficacy of powder formulation of Embelia ribes fruits and Vernonia anthelmintica seeds on ovine gastrointestinal nematodes

Powder formulation of Embelia ribes fruits and Vernonia anthelmintica seeds was evaluated in-vivo for anthelmintic efficacy against gastrointestinal nematodes in sheep. In this study, twelve naturally infected female sheep were selected based on egg per gram (EPG) and then randomly divided into two groups, group I (G I) and group II (G II) having six animals each. G I animals was treated with powder formulations of Embelia ribes fruits and Vernonia anthelmintica seeds (1:1) at the dose rate of 600 mg/kg.b. wt. orally whereas G II animals were left as untreated infected control. Faecal and blood samples were collected on days 0,3,7 and 10 PT to record reduction in faecal egg count and improvement in haematological and biochemical parameters post treatment. On day 10 PT, 62.07% reduction in faecal egg count was observed. Post treatment, there was improvement in haematological, total protein and albumin level indicating reduction in worm burden. AST, ALT and serum creatinine values post treatment suggested no side effects. Coproculture before and after treatment revealed Haemonchus contortus to be a predominant strongyle. The study revealed promising activity of the herbal formulations which can be further exploited to improve the efficacy against gastrointestinal nematodes of sheep.
Anemia: Considerations for the Dental Practitioner

Anemia is a condition of decreased red blood cell number or hemoglobin concentration, or of disturbance in their function, ultimately leading to decreased oxygen transport to tissues. Many factors and diseases may lead to anemia, with wide manifestations systemically as well as orally. Therefore, a sound understanding of this condition is essential for the dental practitioner, with emphasis on alerting signs, dental management and proper communication with patient’s physician.
Model-based predictive control of dc-dc converter for EV applications

Background/Objectives: The power performance of electric vehicle chargers depends on the control efficiency of the power converters with on-board and off-board types. In this paper, a new control method is proposed for power converter of fast electric vehicle chargers in order to improve the power efficiency. Methods/Statistical analysis: The proposed control method is the optimal control to minimize the performance objectives from the predicted output, based on the system model. The discretized model of DC-DC converter with sampling time is derived by using lifting operation for taking into account with the desired prediction time. Findings: The existing conventional controllers are obtained by off-line optimal solution and applied to the systems. Once the control gain is determined, the controller is able to reflect the system response at the real-time. Improvements/Applications: The proposed control method has advantages to deal with system performances at real-time and the control actuation is updated every sampling time via the derived mathematical model. It can be directly applicable to real electric vehicle charger systems in industry.