Miracle-dz/UniFAR-FTUs huggingface dataset:
The Application of Data Mining and BI to the Study of and
Efforts to Enhance Academic Performance

The higher education sector has expressed worry about the high rate of academic failure among university students. The first year of college has the highest attrition rate because students leave because of their academic performance. There has been much discussion and effort put into attempting to determine what may have led to this disappointing showing. Therefore, there are numerous potential applications for the capacity to forecast a student's achievement in higher education. The suggested approach makes use of data mining methods to determine what factors significantly impact and influence undergraduate students' performance. The academic pattern is then analysed using students' demographic and previous academic achievement data. The information is buried in the school database, waiting to be uncovered by data mining tools. Midterm assessments, end-of-semester examinations, abilities, ethics, grasping capacity, extracurricular activities, and other educational data sets may all be mined for this kind of information. Such extraction is facilitated by data categorization algorithms combined with decision trees, and the resulting analysis may be used to generate semantic rules for foretelling students' final grades. Semantic web technologies like ontologies and semantic rules are used by the system to improve the quality of the lessons and exercises that are given to each
REMAJA SEBAGAI PELAKU CYBERBULLYING DALAM MEDIA SOSIAL

Masa peralihan menuju dewasa menimbulkan berbagai tantangan bagi remaja untuk bisa mengembangkan kemampuan sosial dan emosionalnya. Penggunaan media sosial yang tidak seimbang dengan pengawasan, perhatian, dan rasa tanggung jawab dapat menimbulkan perilaku cyberbullying. Artikel ini bertujuan untuk mengkaji mengenai remaja sebagai pelaku cyberbullying dalam media sosial. Metode yang digunakan dalam artikel ini adalah studi literatur terhadap bahan bacaan, seperti jurnal, buku, dan penemuan hasil penelitian yang berkaitan dengan cyberbullying dan kondisi psikososial remaja. Hasil yang diperoleh adalah kondisi psikososial remaja yang sedang membutuhkan pengakuan terhadap diri dan lingkungannya menyebabkan penggunaan media sosial secara tidak bertanggung jawab dan dapat menimbulkan perilaku cyberbullying. The transitional period to adulthood poses various challenges for adolescents to develop their social and emotional abilities. The use of social media that is not balanced with supervision, attention, and a sense of responsibility can lead to cyberbullying. This article aims to examine teenagers as perpetrators of cyberbullying in social media. The method used in this article is a literature study of reading materials, such as journals, books, and research findings related to cyberbullying and adolescent psychosocial conditions. The results obtained are that the psychosocial condition of adolescents who are need of recognition of themselves and their environment causes the use of social media to be irresponsible which can cause adolescents to engage in cyberbullying behavior.
High Accuracy Swin Transformers for Imagebased Wafer Map Defect Detection

: A wafer map depicts the location of each die on the wafer and indicates whether it is a Product, Secondary Silicon, or Reject. Detecting defects in Wafer Maps is crucial in order to ensure the integrity of the chips processed in the wafer, as any defect can cause anomalies thus decreasing the overall yield. With the current advances in anomaly detection using various Computer Vision Techniques, Transformer Architecture based Vision models are a prime candidate for identifying wafer defects. In this paper, the performance of Four such Transformer based models – BEiT (BERT Pre-Training of Image Transformers), FNet (Fourier Network), ViT (Vision Transformer) and Swin Transformer (Shifted Window based Transformer) in wafer map defect classification are discussed. Each of these models were individually trained, tested and evaluated with the “MixedWM38” dataset obtained from the online platform, Kaggle. During evaluation, it has been observed that the overall accuracy of the Swin Transformer Network algorithm is the highest, at 97.47%, followed closely by Vision Transformer at 96.77%. The average Recall of Swin Transformer is also 97.54%, which indicates an extremely low encounter of false negatives (24600 ppm) in contrast to true positives, making it less likely to expose defective products in the market.
The Social Orders of Existence of Affordances

Résumé : Des ﬁgures centrales de la tradition phénoménologique, telles qu’Aron Gurwitsch, Jean-Paul Sartre et Maurice Merleau-Ponty, se sont largement inspirées de la psychologie de la gestalt dans leurs écrits. Le dialogue entre la phénoménologie et la psychologie qu’ils ont entamé se poursuit aujourd’hui dans le domaine des sciences cognitives incarnées. Nous reprenons cette conversation à partir de la riche analyse phénoménologique de la perception du monde culturel réalisée par Aron Gurwitsch. Ses descriptions phénoménologiques de la perception du monde culturel ressemblent de façon frappante aux travaux de la science cognitive incarnée qui s’inspirent de la psychologie écologique de Gibson. Gibson a inventé le terme « aﬀordance » pour désigner les possibilités d’action qui peuvent être directement perçues par les personnes [Gibson 1979]. Cependant, dès ses premiers écrits, Gibson a fait une distinction entre une forme de perception universelle, strictement individuelle et non sociale, et une perception du monde soumise à des inﬂuences sociales et culturelles. Nous utilisons Gurwitsch pour argumenter contre la compréhension individualiste de la perception directe de Gibson. Chaque aﬀordance qui peut être sélectionnée comme objet de perception se réfère à un contexte socioculturel plus large, que Gurwitsch a appelé un « ordre d’existence ». Nous terminons notre article en abordant la question de la relation entre la description phénoménologique du monde perceptif et les explications de l’expérience perceptive fournies par la science cognitive incarnée. Abstract: Central ﬁgures in the phenomenological tradition, such as Aron
The alpha effect and its saturation in a turbulent swirling flow generated in the VKS experiment

We report the experimental observation of the alpha-effect. It consists in the generation of a current parallel to a magnetic field B0 applied to a turbulent swirling flow of liquid sodium. At low magnetic Reynolds number, Rm, we show that the magnitude of the alpha-effect increases like Rm2 and that its sign is determined by the flow helicity. It saturates and then decreases at large Rm, primarily because of the expulsion of the applied field B0 from the bulk of the flow. We show how this expulsion is affected by the flow geometry by varying the relative amplitudes of the azimuthal and axial flows.
Rapidly evolving episodic outflow in IRAS 18113−2503: clues to the ejection mechanism of the fastest water fountain

GO was supported by the Xinjiang Key Laboratory of Radio Astrophysics grant 2016D03020, NSFC 11503072, the National Key R&D Program of China grant 2018YFA0404602, the Youth Innovation Promotion Association of the Chinese Academy of Sciences, the Joint Institute of VLBI ERIC, Kagoshima University, and the MEXT Monbukagakusho scholarship. JFG, JMT, and LFM are partially supported by MINECO (Spain) grants AYA2014-57369-C3 and AYA2017-84390-C2-R (co-funded by FEDER). HI and GO were supported by the MEXTKAKENHI program (16H02167). HI, JMT and JFG were supported by the Invitation Program for Foreign Researchers of the Japan Society for Promotion of Science (JSPS grants S17115 and S14128). DT was supported by the ERC consolidator grant 614264. MAG acknowledges support from the MINECO grant AYA2014-57280-P, co-funded by FEDER. MAPT received support from the MINECO grants AYA2012-38491-C02-02 and AYA2015-63939-C2-1-P. JRR acknowledges support from the project ESP2015-65597-C4-1-R (MINECO and FEDER). LU received support from the University of Guanajuato (Mexico) grant ID CIIC 17/2018.
GameAware Streaming Interfaces

We present three game demos built using our game streaming system, MARS (Metadata Augmented Real-time Streaming). Current streaming interfaces fall short of providing viewer interaction mechanisms beyond the chat channel. Additionally, personalized interaction, where viewers can independently interact with the game content being streamed, is not widely supported. We used MARS to render real-time metadata from the game being streamed onto an overlay that viewers can interact with. In building MARS, we enabled the creation of novel viewing experiences and established a design space that needs to be explored further. We created three demo games to showcase MARS’ capabilities; a tower defense game with contextual information available for viewers, a visual novel with accessibility features enabled, and an asymmetric cooperative game requiring the streamer and viewers to work together. The focus of this paper is on motivating our design decisions for the demos and what potential they hold for playful experiences in live streaming. To this end, we use three games as probes into this yet unexplored design space, with the end-goal of creating novel stream experiences using the MARS system.
Boswellia serrata Extract, 5-Loxin®, Prevents Joint Pain and Cartilage Degeneration in a Rat Model of Osteoarthritis through Inhibition of Inflammatory Responses and Restoration of Matrix Homeostasis

Osteoarthritis (OA) is a chronic, progressive joint disease associated with pain, functional impairment, and diminished quality of life in affected individuals. At a societal level, it also has a high economic burden. Boswellia serrata has been reported to have potent anti-inflammatory, antiarthritic, and analgesic effects. The aim of this study was to explore the therapeutic potential and possible underlying mechanism of 5-Loxin®, a standardized Boswellia serrata extract, in a rat model of OA. The OA model was established by the intra-articular injection of 50 μL of monosodium iodoacetate (MIA) (60 mg/mL). 5-Loxin® was administered orally, and efficacy was evaluated through serum analysis, real-time polymerase chain reaction (PCR), histologic staining, and micro-computed tomography (micro-CT). Results indicated that administration of 5-Loxin® can relieve OA joint pain through inhibition of both inflammatory processes and cartilage degeneration. In the group of rats treated with 5-Loxin®, the suppression of inflammatory enzymes such as cyclooxygenase (COX)-2 and 5-lipoxygenase (LOX) resulted in a significant reduction in the prostaglandin (PG) E2 and leukotriene (LT) B4 levels. Moreover, 5-Loxin® ameliorated the deterioration of the main components of the articular extracellular matrix (ECM), such as glycosaminoglycans (GAGs) and aggrecan, through the downregulation of matrix metalloproteinases (MMPs). These findings suggest that 5-Loxin® may be a potential therapeutic agent for the treatment of OA.
Structure formation and microlensing with axion miniclusters

If the symmetry breaking responsible for axion dark matter production occurs during the radiation-dominated epoch in the early Universe, then this produces large amplitude perturbations that collapse into dense objects known as axion miniclusters. The characteristic minicluster mass, M0, is set by the mass inside the horizon when axion oscillations begin. For the QCD axion M0∼10-10 M⊙, however, for an axionlike particle, M0 can approach M⊙ or higher. Using the Press-Schechter formalism we compute the mass function of halos formed by hierarchical structure formation from these seeds. We compute the concentrations and collapse times of these halos and show that they can grow to be as massive as 106M0. Within the halos, miniclusters likely remain tightly bound, and we compute their gravitational microlensing signal taking the fraction of axion dark matter collapsed into miniclusters, fMC, as a free parameter. A large value of fMC severely weakens constraints on axion scenarios from direct detection experiments. We take into account the non-Gaussian distribution of sizes of miniclusters and determine how this affects the number of microlensing events. We develop the tools to consider microlensing by an extended mass function of nonpointlike objects, and we use microlensing data to place the first observational constraints on fMC. This opens a new window for the potential discovery of the axion.
Advances in data compression and pattern recognition

In this thesis, we present our contributions to two important areas of computer science, namely data compression and pattern recognition. In the area of data compression, we introduce an enhanced version of the static Fano coding, based on the concept of the rearrangement of two lists. The algorithm is formally analyzed and rigorously tested empirically. Its superiority over other similar algorithms has been demonstrated. We introduce a greedy algorithm for the adaptive Fano coding. We formalize the partitioning algorithms for the multi-symbol input and the binary output. The empirical results on the well-known benchmarks demonstrate the advantageous properties of our greedy algorithm. This greedy algorithm has also been extended for the multi-symbol output alphabet. We also present a more efficient algorithm which uses a new tree structure derived from the binary search tree, namely the Fano binary search tree. This new scheme, the corresponding tree-based operators, and the conditional shifting heuristic used to consistently maintain this Fano tree, have been theoretically analyzed and tested on well-known benchmarks files. In the area of pattern recognition, we present the formal theory for optimal pairwise linear classifiers, and a formal analysis of why heuristic functions work. With regard to the theory of optimal pairwise linear classifiers, we derive the necessary and sufficient conditions for the classifier to be optimal and as a pair of straight lines for the two-dimensional case, when the underlying distribution is normal. This, in particular, resolves Minsky's paradox, which has been open since 1957. The corresponding classifiers have been empirically analyzed on synthetic and real-life data showing its superiority over the traditional Fisher's approach. These results have also been extended for the case of multi-dimensional features. We also present a formal analysis that relates the accuracy of heuristic functions to the optimality of the solutions that heuristic algorithms yield. We prove that given a heuristic algorithm, which could utilize either of two heuristic functions, the more accurate heuristic has a higher probability of yielding a superior solution. This result has also been tested for the database query optimization problem.
Chemical transformations and transport phenomena at interfaces

Interfaces, the boundary that separates two or more chemical compositions and/or phases of matter, alters basic chemical and physical properties including the thermodynamics of selectivity, transition states, and pathways of chemical reactions, nucleation events and phase growth, and kinetic barriers and mechanisms for mass transport and heat transport. While progress has been made in advancing more interface‐sensitive experimental approaches, their interpretation requires new theoretical methods and models that in turn can further elaborate on the microscopic physics that make interfacial chemistry so unique compared to the bulk phase. In this review, we describe some of the most recent theoretical efforts in modeling interfaces, and what has been learned about the transport and chemical transformations that occur at the air–liquid and solid–liquid interfaces.
The Effect of Problematic Smartphone Use on Physical Activity Level and Musculoskeletal Pain

Abstract Objectives The aim of this study was to examine the effects of problematic smartphone use on physical activity level and musculoskeletal pain. Methods Two hundred eighty university students (185 female; 95 male; mean age: 20.84±2.37 years) were included in the study. The International Physical Activity Questionnaire was used to determine the level of physical activity. Problematic smartphone use was determined using the Smartphone Addiction Scale-Short Form (SAS-SF) and musculoskeletal pain using the Nordic Musculoskeletal System Questionnaire. Results When SAS-SF scores were examined, it was seen that 31.8% (89 people) of the participants had problematic smartphone use. A moderate negative correlation was found between problematic smartphone use and physical activity level (p=0.0001; r=−0.419). Neck (p=0.017) and back pain (p=0.040) severity was higher in people with problematic smartphone use. Conclusions The findings show that problematic smartphone use has negative effects on both physical activity level and pain severity. For this reason, problematic smartphone use should be questioned in university students with neck and back pain.
Determining Factors Resulting to Employee Attrition Using Data Mining Techniques

: Business Process Outsourcing is a budding industry which currently employs millions of workers in the Philippines which draws applicants from undergraduate to professionals. It provides high-quality, well-paying jobs to millions of Filipinos while inspiring economic activity and investments all around. However, attrition rate of around 50 percent in the current year is a big challenge to predict employee turnover. This study came up with a model that can be adopted in the organization to predict possible attrition and guide the employers particularly the HR team in determining first-hand the type of applicant that they have by applying Data Mining techniques. The authors extracted significant predictors among the given data from a BPO company. Fast Correlation-Based Filtering Algorithm was performed to remove irrelevant data and increase learning accuracy. 1470 records with 21 attributes were initially provided and 17 were identified as significant after filtering and preprocessing of data was performed. The preprocessed data was used for model building with the application of Naïve Bayes Algorithm. The resulting model predicted percentage probability of hoppers and stayers. Among the 17 given variables, Total Working Years, Marital Status and Age ranked as the top predictors in determining possibility of attrition. The data was split into 60% training data or a total of 882 records and 40% testing data or a total of 588 records. The predicted number of stayers is 542 or 92.2% and the predicted hoppers or who likely to resign are 46 or 7.8% The model was tested and evaluated to check accuracy of result through confusion matrix cross validation technique which yielded an accuracy percentage of 84.69%.
Optimization of mechanical structures using interval analysis

The problem of optimal design consists in finding the optimum parameters according to a specified optimality criterion. Existing optimization methods [25, 27] usually are not reliable or cannot use the nondifferentiable, not continuous objective functions or constraints. An interval global optimization method is very stable and robust, universally applicable and fully reliable. The interval algorithm guarantees that all stationary global solutions have been found. In this paper the algorithm is applied to optimization of mechanical systems, calculation of extreme values of mechanical quantities and to optimization of structures with uncertain parameters.
A Taxonomy of image matching techniques for stereo vision

Stereo vision is a method of depth perception, in which depth information is inferred from two (or more) images of a scene, taken from different perspectives. Applications of stereo vision include aerial photogrammetry, autonomous vehicle guidance, robotics, industrial automation and stereomicroscopy. A key issue in stereo vision is that of image matching, or identifying corresponding points in a stereo pair. The difference in the positions of corresponding points in image coordinates is termed the parallax or disparity. When the orientation of the two cameras is known, corresponding points may be projected back to find the location of the original object point in world coordinates. Matching techniques are typically categorised according to the nature of the matching primitives they use and the matching strategy they employ. This report provides a detailed taxonomy of image matching techniques, including area based, transform based, feature based, phase based, hybrid, relaxation based, dynamic programming and object space methods. A number of area based matching metrics as well as the rank and census transforms were implemented, in order to investigate their suitability for a real-time stereo sensor for mining automation applications. The requirements of this sensor were speed, robustness, and the ability to produce a dense depth map. The Sum of Absolute Differences matching metric was the least computationally expensive; however, this metric was the most sensitive to radiometric distortion. Metrics such as the Zero Mean Sum of Absolute Differences and Normalised Cross Correlation were the most robust to this type of distortion but introduced additional computational complexity. The rank and census transforms were found to be robust to radiometric distortion, in addition to having low computational complexity. They are therefore prime candidates for a matching algorithm for a stereo sensor for real-time mining applications. A number of issues came to light during this investigation which may merit further work. These include devising a means to evaluate and compare disparity results of different matching algorithms, and finding a method of assigning a level of confidence to a match. Another issue of interest is the possibility of statistically combining the results of different matching algorithms, in order to improve robustness.
Investigation and Experimental Validation of Kriging-NARX Modeling for Real-Time Hybrid Simulation

ABSTRACT This study proposes the use of nonlinear autoregressive with exogenous input (NARX) to emulate dynamic behavior of analytical substructures in real-time hybrid simulation (RTHS). The training of the NARX model can be conducted numerically, and its implementation presents a good representation of structural dynamics with minimum computational demands on the RTHS equipment. A Kriging metamodel is further introduced to surrogate the NARX model coefficients to account for ground motion uncertainties. RTHS of a single-degree-of-freedom (SDOF) structure with a self-centering viscous damper are conducted as proof of concept to experimentally demonstrate the effectiveness of proposed Kriging-NARX metamodeling approach.