Miracle-dz/UniFAR-FTUs huggingface dataset:
Explaining Individuals’ Usage of Social Commerce: A Data Mining Approach

With the use of Web 2.0 technology, e-commerce is undergoing a radical change that enriches consumer involvement and enables a better understanding of economic value. This emerging phenomenon is known as social commerce. Social commerce (s-commerce) presents a new alternative for consumers to search for and find information about products they are seeking to buy. In spite of its universality, the adoption of this burgeoning technology is affected by several factors. This research project is an initial attempt to explore individuals’ intention of s-commerce usage through the data mining approach. The data was collected via a web-based questionnaire survey of 360 social network site (SNS) users in Jordan. Data mining techniques were then used to analyze the collected data in order to figure out what group of features is best for predicting s-commerce adoption among SNS users. The results showed that data characteristics related to gender, monthly income, civil status, number of connections, and prior online shopping experience are key factors in the classification process. The findings may assist researchers in investigating social commerce issues and aid practitioners in developing new s-commerce strategies.
Inférence et réseaux complexes

Modern science is often concerned with complex objects of inquiry: intricate webs of social interactions, pandemics, power grids, ecological niches under climatological pressure, etc. When the goal is to gain insights into the function and mechanism of these complex systems, a possible approach is to map their structure using a collection of nodes (the parts of the systems) connected by edges (their interactions). The resulting complex networks capture the structural essence of these systems. Years of successes show that the network abstraction often suffices to understand a plethora of complex phenomena. It can be argued that a principled and rigorous approach to data analysis is chief among the challenges faced by network science today. With this in mind, the goal of this thesis is to tackle a number of important problems at the intersection of network science and statistical inference, of two types: The problems of estimations and the testing of hypotheses. Most of the thesis is devoted to estimation problems. We begin with a thorough analysis of a well-known generative model (the stochastic block model), introduced 40 years ago to identify patterns and regularities in the structure of real networks. The main original contributions of this part are (a) the unification of the majority of known regularity detection methods under the stochastic block model, and (b) a thorough characterization of its consistency in the finite-size regime. Together, these two contributions put regularity detection methods on firmer statistical foundations. We then turn to a completely different estimation problem: The reconstruction of the past of complex networks, from a single snapshot. The unifying theme is our statistical treatment of this problem, again based on generative modeling. Our major results are: the inference framework itself; an efficient history reconstruction method; and the discovery of a phase transition in the recoverability of history, driven by inequalities (the more unequal, the harder the reconstruction problem). We conclude with a short section, where we investigate hypothesis testing in complex systems. This epilogue is framed in the broader mathematical context of simplicial complexes, a natural generalization of complex networks. We obtain a random model for these objects, and the associated efficient sampling algorithm. We finish by showing how these tools can be used to test hypotheses about the structure of real systems, using their homology groups.
Analisis Volatily Spillover Bitcoin Terhadap Ethereum, Tether, dan Emas Dunia Menggunakan Metode EGARCH

Penelitian ini bertujuan untuk menganalisis pengaruh volatilitas spillover harga bitcoin terhadap harga ethereum, harga tether dan juga harga emas dunia pada periode tahun 2016-2021 menggunakan data mingguan. Penelitian ini dilakukan karena cryptocurrency memiliki peran yang besar dalam investasi, sebagai aset alternatif dalam berinvestasi dengan return yang diberikan cenderung tinggi dan juga memanfaatkan teknologi digital sehingga lebih fleksibel dalam transaksi. Di lain sisi aset yang dimiliki kripto memiliki manfaat dalam membantu proses transaksi ataupun pertukaran mata uang lain dalam bentuk dollar, rupiah ataupun mata uang lainnya.Analisis dalam penelitian ini menggunakan model exponential generalized autoregresive conditional heteroscedasticity (EGARCH) dengan teknik pengambilan sampel berupa purposive sampling. Hasil menunjukkan bahwa terdapat pengaruh volatilitas spillover antara bitcoin dengan ethereum. Selain itu, terdapat shock positive yang lebih banyak dari pada shock negative pada volatilitas harga bitcoin terhadap harga ethereum. Sedangkan untuk volatilitas spillover antara bitcoin dengan tether dan emas dunia tidak dapat dibuktikan karena data harga variabel tersebut bersifat homokedastisitas, sehingga tidak dapat dilanjutkan dengan model EGARCH karena tidak memenuhi syarat permodelan.
Impacts of Intimate Partner Violence on Academic Performance of Married Female Students

Intimate partner violence (IPV) happens to both genders. However, women experience harsher consequences and are more often to be victims of more extreme types of IPV because women have traditionally been viewed as men's property. Effects of IPV also include academic underachievement because physical and mental health problems caused by IPV affect academic performance. Gender differences exist in the occurrence of IPV. Therefore, this qualitative exploratory case study research has been conducted through in-depth interviews from a feminist perspective to determine how IPV has been influencing the academic performance of married female students. In this study universe of the researchers is Karachi. Researchers used Purposive sampling with a sample size of 10 married female students. Data is analyzed through the thematic analysis method. It is found that significant correlations were observed between IPV and the academic performance of married female students; It has impacted the GPA and completion of the degree. Due to IPV, married female students are experiencing impaired cognition and academic challenges. It decreased academic motivation, college/ university attachment, and attendance of married female students. IPV severely impacted the academic performance of married female students.
Applications of categorical marginal models in test construction

We discuss the statistical testing of three relevant hypotheses involving Cronbach’s alpha: one where alpha equals a particular criterion; a second testing the equality of two alpha coefficients for independent samples; and a third testing the equality of two alpha coefficients for dependent samples. For each of these hypotheses, various statistical tests have been proposed previously. Over the years, new tests have depended on progressively fewer assumptions. We propose a new approach to testing the three hypotheses that relies on even fewer assumptions, is especially suited for discrete item scores, and can be applied easily to tests containing large numbers of items. The new approach uses categorical marginal modelling. We compared the Type I error rate and the power of the marginal modelling approach to several of the available tests in a simulation study using realistic conditions. We found that the marginal modelling approach had the most accurate Type I error rates, whereas the power was similar across the statistical tests. This chapter has been published as Kuijpers, R. E. , Van der Ark, L. A. , & Croon, M. A. (2013). Testing hypotheses involving Cronbach’s alpha using marginal models. British Journal of Mathematical and Statistical Psychology, 66, 503-520.
Seasonal variation of antibiotic-producing actinomycetes from Menengai crater, Kenya

Objectives: The indiscriminate use of antibiotics has led to an upsurge in antibiotic resistance in many parts of the world. This study aimed at determining the seasonal variation of antibiotic-producing actinomycetes from Menengai crater, Kenya. Methods: Soil samples were collected in February which receives 52mm of rainfall, July (100mm), and May (194mm). Actinomycetes were isolated using serial dilution and spread plate bioassays. The antibiotic property of the isolates against Staphylococcus aureus (ATCC 25923), Streptococcus pneumoniae (ATCC 49617), Enterococcus faecalis (ATCC 29212) , Escherichia coli (ATCC 25922) , Pseudomonas aeruginosa (ATCC 27853) and Proteus vulgaris (ATCC 49990) was determined using primary and secondary screening methods. Based on the size of the zone of inhibition and a broad spectrum of activity, four actinomyces coded PAN 25, 41, 75, and 110 were selected for further analysis. Results: The physicochemical properties of the soil samples did not vary significantly (P=0.42). However, the number of actinomycetes isolated varied significantly (P=0.035) between February, May, and July. The mean zone of inhibition varied between 22±0.3 in PAN 110 to 27±0.3mm in PAN 75. Isolate PAN 110 produced an 829bp fragment, PAN 75 (971bp), PAN 41 (1250bp), and PAN 110 (829bp). The 16S rRNA gene sequence and nucleotide BLAST from NCBI revealed that isolate PAN 110 had 99% similarity with S. acrimycini strain K30, PAN 75 ( S. luteogriseus strain ZG728), PAN 41 ( S. indiaensis ), and PAN 25 ( Streptomyces variabilis ). Conclusion: Very dry and wet conditions reduced the number of actinomycetes isolated from the soils of the Menengai crater.
Positive and Negative Results in Approximation and Parameterized Complexity

Several real-Life problems are NP-Hard and cannot be solved in polynomial time.The two main options to overcome this issue are: approximation and parameterized complexity. In this thesis, we present a new technique called greediness-For-Parameterization and we use it to improve the parameterized complexity of many problems. We also use this notion to obtain parameterized algorithms for some problems in bipartite graphs. Aiming at establishing negative results on the approximability in subexponential time and in parameterized time, we introduce new methods of sparsification that preserves approximation. We combine those "sparsifiers" with known or new reductions to achieve our goal. Finally, we present some hardness results of games such as Bridge and Havannah.
Consumers’ awareness of the ethical issues associated with textile materials in the context of the ecological transition

The ecological transition requires the transformation of consumers’ practices. However, for this transformation to occur, consumers must first be aware of the impacts of their practices. This article aims to understand how such awareness is achieved, through the study of textile materials in clothing. The analysis of 21 interviews conducted twice reveals the stages of the awareness process of textile materials. Reflection (moving from lived experience to representations) and then disadaptation (events creating a discrepancy between reality and representations) lead to conceptualization, from which the ethical issues involved gradually emerge. The first level of awareness concerns the impacts of textile materials on the durability of clothing. The second level concerns their impacts on the living world. These results, which fall within the scope of Transformative Consumer Research, provide guidelines to support changes in consumers’ practices toward a more ethical consumption.
FROM ADAPTATION TO RESILIENCE: THE CAPABILITY OF WOMEN SMALLHOLDER FARMERS IN THE NABDAM DISTRICT OF THE UPPER EAST REGION

The study discusses adaptation practices and the resilience of smallholder farmers to agriculture productivity. The study sampled 248 women smallholder farmers in the study communities. Purposive sampling techniques were used to gather data from women smallholder farmers. The findings indicate that drought, pest and disease infestation, reduced rainfall, and flooding were climate change occurrences that affect crop yields as farmers record low productive output. The findings also indicate that mixed cropping, mixed farming, integrated soil fertility management and forecasting were adaptation practices. Findings further show that livelihood diversification, climate-smart agriculture (CSA), dry season gardening and improved variety were also the major resilience strategies among women smallholder farmers. The study recommends that the Ministry of Food and Agriculture should prioritize a dry season gardening support scheme for women smallholder farmers to sustain their adaptative capacity to climate change; the Nabdam District Assembly should create an enabling environment for women smallholder farmers to effectively maximum livelihood diversification; and International Non- Governmental Organization (INGO) including Action Aid Ghana (AAG) should scale-up support to women smallholder farmers in their intervention programs focusing on dry season gardening. Keywords: Smallholder Farmer, Adaptation, Resilience, Climate Change, Climate-Smart Agriculture, Livelihood Diversification, Agriculture Productivity and Drought.
Cervical spondylosis and its homoeopathic therapeutics

Cervical Spondylosis is a degenerative disease associated with ageing and also occupation. In today’s fast moving stressful life, Man has forgotten himself. His life style is more of sedentary work now a days, Long hours in front of computers, every time using mobile with bending neck, lack of exercise etc., Most commonly computer professionals whose work demands a lot of work sitting on a chair in a bent down posture causing undue strains on the vertebral column tend to be more affected by Cervical Spondylosis. All these activities have given rise to several chronic diseases like HTN, DM, and Spondylosis etc. In every diseased condition, homoeopathic treatment is on the basis of symptoms similarity, after considering patient’s physical general and mental generals together and find out the similimum. Homoeopathic medicines are extremely effective in reducing weight by speeding up the metabolic rate. This article emphasis in incidence, etiology, Risk factor, clinical features and management of cervical Spondylosis with discussion on Homoeopathic medicines indicated in this clinical condition.
Structure-preserving finite difference schemes for the Cahn-Hilliard equation with dynamic boundary conditions in the one-dimensional case

The structure-preserving finite difference schemes for the one dimensional Cahn-Hilliard equation with dynamic boundary conditions are studied. A dynamic boundary condition is a sort of transmission condition that includes the time derivative, namely, it is itself a time evolution equation. The Cahn-Hilliard equation with dynamic boundary conditions is well-treated from various viewpoints. The standard type consists of a dynamic boundary condition for the order parameter, and the Neumann boundary condition for the chemical potential. Recently, Goldstein-Miranville-Schimperna proposed a new type of dynamic boundary condition for the Cahn-Hilliard equation. In this article, numerical schemes for the problem with these two kinds of dynamic boundary conditions are introduced. In addition, a mathematical result on the existence of a solution for the scheme with an error estimate is also obtained for the former boundary condition.
S-100 Immunostain-an aid to diagnosis in tuberculoid leprosy

Introduction: Leprosy is one of chronic granulomatous disease that is caused by Mycobacterium leprae. This bacillus has a high affinity for skin and peripheral nerve cells. In multibacillary (lepromatous leprosy) cases, the demonstration of acid fast bacilli usually concludes the diagnosis, which is not the case with paucibacillary (tuberculoid leprosy) cases. The diagnosis of tuberculoid leprosy is often difficult as most of the cases do not show acid fastness with 5% H 2 SO 4 and hematoxylin and eosin (H&E) stain also fails to demonstrate nerve involvement in granulomas. This study evaluates the utility of S-100 staining in identifying nerve fragmentation and differentiation of tuberculoid leprosy from other cutaneous
HOW COVID-19 AND GOVERNMENT ACTIONS AFFECTED STOCK INDEXES

The COVID-19 virus created a health crisis that led to one of the biggest economic crises in the world. This study analyzes the effects of different variables on the stock indexes of 15 different countries grouped into five areas/regions: Europe, the United States, South America, New Zealand, and Asia. The variables include data regarding COVID-19 on infections and death as well as news regarding government actions. The descriptive statistics and the regression analysis expose differences between the areas across all the variables. The variables with the strongest effects are the number of infected people and the number of recoveries, except for South America where only the number of infected people had the strongest effect. In addition, in the United States and New Zealand, infection of famous people and/or people in key positions is the most significant variable, while in Asia and South America it was the behavior of the public and in Europe it was the restrictions on the education system.
Effect of COVID-19 on Musculoskeletal Performance in Gait and the Timed-Up and Go Test

Introduction: The total number of confirmed cases of COVID-19 caused by the SARS-CoV-2 virus infection is over 621 million in the world. In approximately 63% of cases, the patient still experiences persistent symptoms 30 days after the onset of symptoms or hospitalisation, and 45.9% of patients have experienced or will experience symptoms for at least three months. Despite the prevalence of chronic symptoms and pathological changes that may affect gait and functional mobility in people with a history of COVID-19, there are few publications investigating the impact of these abnormalities. This study aims to determine the long-term effects of COVID-19 on gait and the Timed-Up and Go Task. Material and Methods: A total of 30 individuals took part in the experiment. The subjects in the study group were infected with the COVID-19 virus and required hospital treatment. Prior to the study, the subjects had no chronic diseases or other conditions affecting the musculoskeletal system. The non-infected by COVID-19 group was a healthy population with no history of COVID-19 disease. The study used the inertial system wireless motion analysis system based on 15 inertial sensors (inertial measurement units, IMUs). IMU sensors were placed on the following body segments: head, sternum, middle and lower spine, shoulder, arm, forearm, hand, shank, for the left and right limb. Movement task reports generated from the recording were created using myoRESEARCH 3.10. The subjects in the study group were asked to perform a movement task test—the Timed-Up and Go Test (TUG): sit-to-stand, walk (3 m) without change in direction, walk termination, and stand-to-sit. Results: It took 46% longer for those infected by COVID-19 (participants) to complete the entire movement task compared to those in the not-infected by COVID-19 group. Sit-to-Stand Time [s] was greater in the infected by COVID-19 group and was 2.1 ± 0.7. Mean Walking Speed [m/s] was lower than in the not-infected by COVID-19 group and was 0.26 ± 0.07. Walking cadence [steps/min] was lower and was 21.2 ± 1.2. Infected by COVID-19 participants achieved a smaller anterior pelvic tilt angle (p < 0.001) and a smaller hip flexion angle (p = 0.025), with an increase in knee (p < 0.001) and ankle (p < 0.001) flexion angles. Conclusions: Individuals in the infected by COVID-19 group present changes in the ranges of motion and the time to complete the TUG task, despite the fact that at least eight weeks passed after hospital discharge.
Leak-edge detection

An edge detection technique is applied herein to improve leak detection for pressurized pipe flow, based on a transient test analysis. The information contained in a signal is interpreted, especially when it is sharp and isolated: The sudden brightness changes an image and the pressure variations due to a pressure wave trespassing the measurement section. Herein, the analogy between edge and leak detections is further developed. After recalling the main characteristics of an edge detection technique based on the wavelet analysis, the application to leak detection in a pipe is presented. The multi-scale product of the wavelet transform is used to detect sharp pressure variations. Both the simplicity and the reliability of this technique as compared to others make it suitable to develop a rational and automatic procedure. Both numerical and experimental pressure signals were used to evaluate the effects of the noise and the test conditions. It is demonstrated that the wavelet analysis of numerical signals facilitates to recognize small step variations, i.e. small leaks, using low cost transducers. The experimental tests corroborate the numerical results.
The impact of SMES characteristics on management accounting practices: Evidence from the state of Amazonas

This research seeks to identify Management Accounting Practices (MAP) used by Small and medium-sized enterprises (SMEs) and the factors that explain the adoption of those practices. This study is relevant due to the scarcity of studies in this context, especially, in developing countries. Our study shows that SMEs use mostly traditional MAPs. We provide evidence that the traits of the owner/manager, and the age and sector of activity of the SME influence the adoption of MAPs. This study contributes: empirically, by providing statistical evidence of the contingency factors associated with the adoption of MAP by SMEs in a developing country; theoretically, by enriching the literature on MAPs and contingency factors. Our results suggest clues for the development of public policies to support the small business environment and the importance of Management Accounting education. For future research, this study can be extended, namely to other developing countries.