Miracle-dz/UniFAR-FTUs huggingface dataset:
A data-driven caption for L2 listening

Partial and Synchronized Caption (PSC) is a tool that automatically detects difficult segments for the second language (L2) listeners and displays them in the caption while omitting easy-to-recognize cases to reduce cognitive load. Given that the number of words to be shown in this caption is limited, the main challenge lies in selecting and prioritizing difficult words. Since partialization is a classifying task, we made a dataset of labeled words in TED talks (easy vs. difficult) for a target proficiency-level. A deep classifier is trained on this dataset to automate the detection of difficult words/phrases without explicitly extracting word features. This proposed data-driven PSC outperforms its feature-based versions by adopting a selection pattern that is more similar to the annotations, capturing more complicated cases, and minimizing the false positives.
Phytoplasma-induced biochemical and genetic variations in Crassula argentea

Phytoplasma is a plant pathogenic bacteria that causes several morphological abnormalities.This study reports on biochemical and genetic variability between the phytoplasma infected (PI) and symptomless Crassula argentea plants using RAPD markers. Chemical composition of normal plants was higher of all elements. However, change in ferrous (Fe) content was not significant between normal and abnormal plants. Infected plants had potassium content higher than normal plant. Also, chlorophyll contents were decreased by phytoplasma infection. Water content was higher in infected plant than normal plant The electrophoresis revealed a high level of polymorphism among the studied plants. A total number of 67 amplified bands were generated across the PI and symptomless plants with polymorphism percentage of 32.8. The primers OPC10, OPK05 and OPU05 yielded different polymorphic banding patterns that were unique to each primer and distinguishable over the PI and symptomless plants. RAPD molecular marker analysis revealed epigenetic variations between normal and phytoplsma infected plants, and itcould be utilized for the identification of Crassula genotypes.
A review on status of ethnoveterinary medicine and challenges it faces in Ethiopia

The purpose of this review is to give an overview on the status of Ethnoveterinary medicine (EVM) in Ethiopia and to highlight its advantages, limitations, challenges it faces and make readymade document available for users. EVM comprises of traditional surgical techniques and immunization, magic religious practices and the use of herbal medicines to treat livestock diseases. Peoples in different locations with different religious, linguistic and cultural backgrounds have their own specific knowledge about use of plants which in part has gradually entered wide circulation in the country. Ethiopian farmers and pastoralists rely on traditional knowledge, practices and locally available materials, plants in particular, to control and manage domestic animal diseases. Ethiopian plants have shown very effective medicinal value for some ailments of human and domestic animals. These medicinal plants (MPs) and knowledge of their use provide a vital contribution to human and livestock health care needs throughout the country. Ethnoveterinary (EV) drugs are prepared in various dosage forms and can be administered in different ways. It is not enough that traditional medicinal plants (TMPs) are useful but has disadvantages. Some MP species of Ethiopia are reported to have been threatened. Environmental degradation, agricultural expansion, loss of forests and woodlands, over use and over harvesting, fire, cultivation of marginal lands, overgrazing and urbanization appear to be the major threats to the MPs of Ethiopia. Ethiopians have used traditional medicines (TMs) as early as the 17th century; however, very little is documented. The knowledge of traditional uses of MPs in Ethiopia has mostly been passed on by verbal communication. This method of information conveyance has probably resulted in distortion or loss of indigenous knowledge. To solve such problems and to keep the practice in hand, there must be ongoing research and documentation.
Effect of Credit Risk on Commercial Banks’ Profitability: A Case Study of Bangladesh

As a financial intermediary, the commercial banks (CBs) perform alike an overpass, through which depositors deposit is moved to deficit unit of the economy. Moreover, it plays a fundamental role in any economy by transferring financial resources from surplus unit to deficit unit. Hence, the CB services are considered as the heart of the economy and an effective credit risk management (CRM) and its practice is an ingredient part of safety, soundness, and profitability of the CB. Is an ingredient part of safety, soundness, and profitability of the CB (Asfaw and Veni, 2015).
BEHAVIOURAL FINANCE: AN INTROSPECTION OF INVESTORS PSYCHOLOGY

Purpose: Investors always try to make rational decision while analyzing and interpreting information collected from various sources for different investment avenues to arrive at an optimal investment decision. But at the same time they are influenced by various psychological factors that influence them internally and bias their investment decision. Linter (1998) studied the various factors that influence internally the informed investment decision and included them under the discipline of behavioural finance. Behavioural finance studies how people make investment decision and influenced by internal factors and bias. The main purpose of the paper is to assess impact of behavioural factors over mutual fund investment decision made by investors in Raipur city. Design/methodology/approach: The researchers conducted a survey on factors of behaviour of investors with respect to investment in mutual fund industry from 300 investors of mutual funds across different demographic profiles in Raipur city. Major Result / Findings: The researchers assessed that factors like perception, motivation, incentive potential, intensity of cues play major role in formation of intention to invest which further influence investors in Raipur city to take investment decision that determines their satisfaction with mutual fund which is based on performance and growth of a particular mutual fund. Implications: This paper helps in analyzing the factors which influence formation of intention to invest and further direct towards investment in a particular mutual fund. Various mutual fund companies can concentrate on these factors to devise strategies to pull investors to invest in their mutual fund. Originality/value: This a fairly original paper which has tested the model developed by researchers using SEM. Paper type: Empirical and descriptive
The Effects of Non-interest Activities on Banking Loan Risk in China

This research focuses on the impacts of non-interest business activities of commercial banks on the quality of bank loans. Chinese commercial banks are expanding into many fields relative to traditional savings and loans, and the effects of these non-interest business lines are showing up not just in financial statements, but also in their total operating and risk management. Taking annual data on 60 commercial banks in China from 2009 to 2017, this study uses empirical analysis to verify what influences exist and identifies the impacts of non-interest activities on the traditional business of commercial banks to test how the risk-taking operations of such banks change with a greater amount of non-interest activities. We want to see whether the reforms of Chinese banks have negative influences on their bank lending behaviors from the perspective of credit risk. Findings do show a significantly positive relationship between credit risk and non-interest activities in the group of large banks, but there is no such correlation for small commercial
ISLAMIC PHILANTHROPY: RATIONALITY FOR A NEW ECONOMICS WELFARE SYSTEM

Seeing the reality lack of welfare society, it’s requires new concepts to improve economics, social, cultural and religious comprehensively in a welfare system. To achieve this objective is needed a new paradigm of thinking about the concept, that is new thinking to create system welfare in all side. To realize these goals, must find an ideal concept; one way is to look from religion perspective. In this paper we propose Islamic concept, as primary basis, where in Islamic theory philanthropy is a main factor inside economics welfare. Then will see how function and position of Islamic philanthropy in terms of Maqasid al-Syariyyah, combined with the current economic welfare. This paper brings two issues, first how authenticity Islamic philanthropy itself and whether it has rationality value in economic? Second is whether Islamic philanthropy gave an affect for economic welfare system? Method used is the thrusts of economic welfare theory involving with philanthropic activities that have been applied by west society, what weaknesses of it, and then compared with the concept of Islamic philanthropy. Results of this study found that Islamic philanthropy having rationality in economic theory; this can be proved by a function of income, expenditures and life satisfaction by personal utility. These functions having wide implications, this may be able to affect in welfare system at the macroeconomic level.
Dynamic response of the tower of a NREL5MW wind turbine generator

Considering the complexity of the aerodynamic interaction between a non-homogeneous, nonstationary wind field and a wind turbine, one can easily establish that the constructive elements of the turbine will be exposed to dynamic loads, which will eventually lead to forced motion and particularly to forced vibrations. One of the most significant elements of every wind turbine is the tower of the generator. The tower is subjected to forced vibrations and transmits all dynamic loads that appear in the wind turbine. That is why a dynamic analysis of the tower is worth executing. In this research such an analysis is made considering the tower of the generator as Euler-Bernoulli beam structure and considering it as a LoveKirchhoff shell structure.
MECHANICAL PROPERTIES OF COWPEA BEANS AT DIFFERENT MOISTURE CONTENTS

Cowpea production has gained considerable ground in Brazil. Cowpea grain undergo different types of pressure and may crack and break during processing and storage, thus, there is a need to classify the mechanical properties of the beans. Therefore, this study aimed to evaluate the influence of the moisture content of cowpea beans on the maximum compressive force for fixed deformation and determine the proportional modulus of deformity under compression. The cowpea cultivars Novaera and Tumucumaque were evaluated at different moisture contents (0.12; 0.15; 0.18; 0.20; and 0.23 decimal d.b.). The experiment was arranged in completely randomized design for each moisture content and 10 deformation rates were applied (0.02; 0.04; 0.06; 0.08; 0.10; 0.12; 0.14; 0.16; 0.18; and 0.20 mm). The compression force was assessed using a universal testing machine and the proportional deformation modulus was determined. Following, hardness and elasticity of cowpea beans as a function of the moisture content were established. The compressive force required to deform cowpea beans decreases with increasing moisture content: between 2 and 105 N (Tumucumaque) and between 2 to 97 N (Novaera). The proportional deformation modulus of cowpea increased as the moisture content and deformation reduced, ranging from 4.9 x 107 to 31.9 x 107 Pa (Tumucumaque) and from 5.9 x 107 to 42 x 107 Pa (Novaera).
Systematic optimization of Long Short-Term Memory model for predicting NYSE Arca Airline Index (XAL) during COVID-19

Predicting stock prices has been both challenging and controversial. Since it first spread through the United States, the COVID-19 pandemic has impacted the stock market in a multitude of ways. Thus, stock price prediction has become even more challenging. Recurrent neural networks (RNN) have been widely used in many fields to predict financial time series. In this study, Long Short-Term Memory (LSTM), a special form of RNN, is used to predict the stock market direction for the US airline industry by using NYSE Arca Airline Index (XAL). The LSTM model was optimized through changing different hyperparameters of the model architecture to find the best combination for increased accuracy and performance evaluated by several metrics, including raw RMSE (3.51) and MAPA (4.6%), and very high MAPA (95.4%) and R^2 (0.978).
Sustainability in Career Development: The Impact of Career Development Culture and Career Support of Senior Management on Career Satisfaction

The study examined whether career development culture and career support of senior management impact employee career satisfaction. This study validated two new questionnaires: career development culture and career support of senior management. Based on the extended model of social cognitive career theory, the study proposed that these two variables positively impact on employee career satisfaction. Private sector employees (N=196) representing a range of manufacturing and service sector firms from the private sector in Sri Lanka participated in a survey. It is found that, career development culture and the career support of senior management positively impact on career satisfaction. The current findings provide implications to the extended model of social cognitive career theory by testing the hypothesized relationships with a cross sectional study. The current findings propose that an organization should develop a career development culture and the senior management should support employees’ career development in such a way that increases their career satisfaction. The study is subject to common method and common source bias, since this is a cross sectional study with a survey. Future research could be conducted with the representation of broader category of employees and industries, which promotes the generalizability of findings.
UWS Academic Portal Strength adaptation to squat exercise is different between Caucasian and South Asian novice exercisers Knox,

This study compared the progression of muscular strength (MS) adaptation between agematched Caucasian (CAUC) and South Asian (SOU) men during 6 weeks (3 x week) of resistance training. MS was determined pre and post intervention by 3-repetition maximum (3RM) strength tests, and data were analysed using repeated measures ANOVA. Preintervention upper and lower body 3RM were similar between groups and both upper and lower body 3RM increased in CAUCs (P<0.001) and SOUs (P<0.001) following resistance training. However, lower body strength adaptation (3RM) was higher in CAUCs compared with SOUs (P=0.002). There was a significant group x time interaction in strength progression of the squat exercise (P=0.03) from session 7 through to 18 (completion). The present study offers novel but provisional data that lower body strength adaptation is slower in SOU than CAUC men despite comparable adaptation to upper body strength.
Tensor, Tensor Networks, Quantum Tensor Networks in Machine Learning: An Hourglass Architecture

Quantum tensor networks in machine learning (QTNML) are envisioned to have great potential to advance AI technologies. Recent works show that (quantum) tensor networks provide powerful simulations of quantum machine learning algorithms on classical computers. We observe that tensor, tensor networks and quantum tensor networks in machine learning exhibit a layered architecture that resembles an hourglass. In this paper, we describe a seven-layer architecture to characterize the role of tensor, tensor networks and quantum tensor networks in machine learning, point out current challenges and discuss recent innovations. As a cornerstone data structure, tensor and tensor networks lie at the waist of the hourglass-shaped architecture, while the lower and upper layers tend to see frequent innovations. We expect tensor, tensor networks and quantum tensor networks continue to serve as an ampliﬁer for computational intelligence, a transformer for machine learning innovations, and a propeller for AI industrialization.
A Facile Synthesis of a Three-Dimensional Flexible 3C-SiC Sponge and Its Wettability

Controllable synthesis of flexible ceramic whiskers at low cost remains a challenge despite their importance for many applications. In this work, a large-scale flexible SiC sponge has been successfully synthesized using carbon thermal reduction of gangue at 1500 °C for 2 h in an argon atmosphere by controlling the reaction atmosphere. The phase and microstructure investigated by XRD, SEM, TEM, and Raman spectroscopy revealed that the flexible SiC sponge was cubic single crystalline with a diameter of 100–500 nm and several millmeters in length. The good flexibility of SiC whiskers was attributed to their typical morphology of a straight line with a smooth surface. Besides this, another novel bamboo-like whisker consisting of twin transition and direct transformation also contributed to the flexibility of SiC whiskers. In addition, the sponge surface displays a good hydrophobicity. This provides SiC whiskers as a great promising candidate for the development of flexible illumination batteries and supercapa.
Investigating the Role of Management Information Systems Technology on the Performance of Sports Organizations

Technology and management information systems are a general strategy for dealing with the complexity of too much information and fragmented communications. The aim of this research is to investigate the role of management information systems (MIS) technology on the performance of sports organizations. The quantitative method used the questionnaire-survey. The MIS variables were information system quality (ISQ), information system strategy (ISS), and organizational size. Fifty participants were recruited from the Sports and Youth General Administration in Tabriz, Iran. Data were analyzed using SPSS and PLS structural equation model. The proposed model was supported by empirical data. More specifically, the results also showed positive and significant effects of ISQ, ISS, and organizational size on organizational performance; which implies that the higher the management information systems, the higher the organizations performance. Therefore, if management information systems are implemented properly, it will lead to user satisfaction; the system will also reduce administrative errors and assist in organizational decision-making.
A review on supercapacitor materials and developments

Energy storage is a big problem today in the world for humanity depend on the challenges of conventional storage devices. So the researchers are studying to invent new energy storage devices and materials for many years. The supercapacitor (SC) is invented and presented as an alternating storage device recently. There were a lot of studies about SC in literature. These studies are focused on materials of SC components, modelling of SC, and applications of SC. In this paper, the working principle of SC, the advantages of SC, the classification of SC, and new developments of SC are investigated. Some material applications of SC are presented in this study also. The manufacturing developments are investigated for some SC materials and presented some novel applications also.
High Performance Computing Primitives for Tensor Networks Learning Operations on GPUs

Tensor decompositions and tensor networks that factorize multi-dimensional data into latent factors have become a powerful tool for big data analytics and machine learning. However, time and space complexities of the algorithms grow rapidly with the size of tensors. Exploiting parallelisms of tensor network learning operations and accelerating them on many-core GPUs are promising. In this paper, we develop efﬁcient primitives for tensor network learning operations on GPUs by exploiting tensor algorithm parallelism. First, we implement and optimize key operations to improve resource utilization, including tensor matricization and matricized tensor times Khatri-Rao product (MTTKRP), highly-parallel Jacobi-based singular value decomposition (SVD), and batch operations. Second, we fully optimize the data transfer, memory access and reduce memory footprint, even employ more efﬁcient calculation processes with smaller computational complexity. Thirdly, we support several tensor networks learning operations, such a CP, Hierarchical Tucker (HT), tensor-train (TT) and tensor-ring (TR) tensor decompositions. Finally, we evaluate on a Tesla V100 GPU and tested tensors up to 1,200 × 1,200 × 1,200. Compared with the TensorLab library, our implementation of CP decomposition achieves up to 5 . 56 × speedup. Compared with GPU baseline implementations, the proposed GPU implementations of HT, TT and TR decompositions achieve up to 4 . 67 × , 6.67 × and 6.36 × speedups, respectively.
Influence of Prey Type on the Biology and Life-Table Parameters of Neoseiulus californicus (McGregor) (Acari: Phytoseiidae)

Biological characteristics, life table parameters and predation rate of the predatory mite Neoseiulus californicus (McGregor) under the laboratory conditions of 25 ± 2°C, 75% R.H. and photoperiod of 12L: 12D was studied. Prey types were Brevipalpus phoenicis (Geijskes) motile stages, Tetranychus urticae Koch eggs and motile stages and Tegolophus guavae (Boczek) motile stages. The predator completed developmental stages on tested prey types with a life cycle of 7.02 to 10.25 days. Its developmental time was significantly affected by prey species as T. urticae motile stages shortened its development more than other ones. Female longevity ranged between 16.70 and 28.2 days. Longest female longevity and highest fecundity one was recorded on T. urticae motile stages (49.3 eggs/female), whereas lowest fecundity (12.6 eggs/female) was recorded on motile stages of T. guavae. The highest consumption rate of adult female was 496.2 individuals when fed on T. guavae; while the lowest was 161.2 individuals on T. urticae motile stages. Net reproduction rate of increase (Ro), intrinsic rate of natural increase (rm) and finite rate of increase (λ) were highest on T. urticae motile stages as 35.59, 0.272 and 1.31, respectively.
Pathogenicity of CYP17α mutations in the occurence of uterine fibroids and breast fibroadenomas

Background. Uterine fibroids and breast fibroadenomas are a real public health problem. Despite the efforts made, the etiological factors are still unknown. In addition, these tumors share histopathological similarities, including a higher prevalence in black women. To better understand the factors involved, we set out to assess the genetic characteristics of uterine fibroids and breast fibroadenomas in Senegalese women using CYP17α genes. Results. For the CYP17α gene, 196 mutations were found among which, 65 are specific to uterine fibroids, 112 mutations specific to breast fibroadenomas and 19 common to both pathologies. Analysis of the pathogenicity of missense mutations reveals that many mutations are considered to be a simple polymorphism and 21 non-synonymous mutations appear to be potentially damaging, including 6 specific to patients with uterine fibroids; 14 found in patients with breast fibroadenomas. Conclusion. As a genetic marker of risk, the codons 12, 17, 20, 60 and 72 of CYP17α can be a tool to identify high-risk groups of women for prevention and treatment protocols.