Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of ankle bracing for volleyball activities

The ankle sprain is the most frequently found acute injury in volleyball. Aiming to prevent the occurrence of ankle injuries, prophylactic equipment as the bracing had been developed. This study had the purpose to evaluate the performance of the ankle muscles (tibialis anterior, peroneous longus, and medial and lateral gastrocnemius) by measuring the electrical activity in different volleyball activities (vertical jumping and lateral shuffling) with and without using ankle bracing. Nine young female volleyball athletes with ages ranging from 14 to 17 years (: 15.8 ± 1.3) were evaluated, all of them without previous injuries in the dominant member. Maximal voluntary isometric contractions (MVIC) of each muscle was collected, and after that, the electromyographic activity in different situations with and without using the bracing, randomly. The bracing used had two lateral supports. The electromyographic signal was quantified by the root mean square (RMS), and normalized by the MVIC. Analysis of the variance with repeated measurement was used to verify the difference of the electric activity of the muscles involved in each activity, with and without using the bracing, with 5% (p < 0.05) significance level. It was identified a statistically significant difference in phase I of the jumping in favor of the tibialis anterior (p < 0.001) and in phase II in favor of the three flexors muscles (p < 0.001; p = 0.01; p = 0.003) in both situations, with and without using the bracing. As to the lateral jump activity, a significant difference was observed in the phase of braked in favor of the tibialis anterior and the lateral gastrocnemius (p = 0.013) in both situations. It was found no statistical difference among muscles of the two groups. Results suggest that using the ankle bracing cannot influence the electrical activity of the muscles studied during the vertical jumping and the lateral shuffling.
Harvest - a System for Creating Structured Rate Filing Data from Filing PDFs

We present a machine-learning-guided process that can efficiently extract factor tables from unstructured rate filing documents. Our approach combines multiple deep-learning-based models that work in tandem to create structured representations of tabular data present in unstructured documents such as pdf files. This process combines CNN's to detect tables, language-based models to extract table metadata and conventional computer vision techniques to improve the accuracy of tabular data on the machine-learning side. The extracted tabular data is validated through an intuitive user interface. This process, which we call Harvest, significantly reduces the time needed to extract tabular information from PDF files, enabling analysis of such data at a speed and scale that was previously unattainable.
The Physical Mechanism of Frequency-Induced Inflection Point for Oil–Paper Insulation Under High-Frequency Square-Wave Voltage

High-frequency (HF) oil-immersed transformers with small size and light weight have been paid wide attention by researchers. Its oil–paper insulation frequently withstands HF over-voltages at frequencies of several kilohertz and above, resulting in the too early failure of oil–paper insulation. In order to investigate the effect of HF on oil–paper insulation, this article investigates the partial discharge (PD) characteristics of oil–paper insulation under HF stress. The experimental results show that a frequency-induced inflection point is existed near 10 kHz and the PD parameters of HF voltages is much higher than that ac voltages. Besides, the theoretical mechanism is expounded to interpret and understand the formation process of frequency-induced inflection points more easily. It can be found that the change in frequency causes the change in the charge decay time constant and the residual charge on the insulating surface, resulting in the formation of the frequency-induced inflection point at HF. These results might contribute to determine the characteristics of PDs between HF voltages and ac voltages. It can provide references for the research and production of HF transformers.
Accessing Financial Data through Virtual Reality

The current state of information and communication technologies, pointing out the massive use of computer graphics, is instigating new possibilities for data visualization and analysis. Large amounts of data can be represented in an effective way of understanding by the adoption of an appropriate visualization technique. In the present work, we are investigating the use of novel interaction technologies for the visualization of financial data, concretely stock market information. We are using a 3D immersive environment, in which the user is able to interact in a non-obtrusive form, being able to perceive information in several dimensions, as well as to perform interactions in a multi-modal way
Simulation Study of Single-Event Burnout Reliability for 1.7-kV 4H-SiC VDMOSFET

A single-event burnout (SEB) reliability and hardening method for 1.7-kV 4H-SiC power VDMOSFET under high liner energy transfer (LET) value range is proposed and researched by the 2-D numerical simulation. Compared with the conventional VDMOSFET with N-type multi-buffer layers, the hardened VDMOSFET not only ensures that the forward conduction capability does not deteriorate, but also reduces the peak electric field under breakdown voltage from 3.62 MV/cm to 2.98 MV/cm. The advantage of the hardened structure is providing a hole leakage path and increasing the contact area between the source metal and the N+ source, eliminating the effect of electron-hole pairs generated by heavy ion strike on the device, thus improving the SEB performance significantly. In addition, this fabricating technology is compatible with the current technological processes. This hardened structure provides a great potential in aerospace application.
Transcriptomic Analysis Reveals the Role of tmRNA on Biofilm Formation in Bacillus subtilis

Bacillus strains are widely distributed in terrestrial and marine environments, and some of them are used as biocontrol organisms for their biofilm-formation ability. In Bacillus subtilis, biofilm formation is fine-tuned by a complex network, a clear understanding of which still requires study. In bacteria, tmRNA, encoded by the ssrA gene, catalyzes trans-translation that can rescue ribosomes stalled on mRNA transcripts lacking a functional stop codon. tmRNA also affects physiological bioprocesses in some bacteria. In this study, we constructed a ssrA mutant in B. subtilis and found that the biofilm formation in the ssrA mutant was largely impaired. Moreover, we isolated a biofilm-formation suppressor of ssrA, in which the biofilm formation was restored to a level even stronger than that in the wild type. We further performed RNAseq assays with the wild type, ssrA mutant, and suppressor of ssrA for comparisons of their transcriptomes. By analyzing the transcriptomic data, we predicted the possible functions of some differentially expressed genes (DEGs) in the tmRNA regulation of biofilm formation in B. subtilis. Finally, we found that the overexpression of two DEGs, acoA and yhjR, could restore the biofilm formation in the ssrA mutant, indicating that AcoA and YhjR were immediate regulators involved in the tmRNA regulatory web controlling biofilm formation in B. subtilis. Our data can improve the knowledge about the molecular network involved in Bacillus biofilm formation and provide new targets for manipulation of Bacillus biofilms for future investigation.
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process

In this paper, we propose Deep amortized Relational Model (DaRM) with group-wise hierarchical generative process for community discovery and link prediction on relational data (e.g., graph, network). It provides an efficient neural relational model architecture by grouping nodes in a group-wise view rather than node-wise or edge-wise view. DaRM simultaneously learns what makes a group, how to divide nodes into groups, and how to adaptively control the number of groups. The dedicated group generative process is able to sufficiently exploit pair-wise or higher-order interactions between data points in both inter-group and intra-group, which is useful to sufficiently mine the hidden structure among data. A series of experiments have been conducted on both synthetic and real-world datasets. The experimental results demonstrated that DaRM can obtain high performance on both community detection and link prediction tasks.
Password Systems: Problems and Solutions

—In a security environment featuring subjects and objects, we consider an alternative to the classical password paradigm. In this alternative, a key includes a password, an object identiﬁer, and an authorization. A master password is associated with each object. A key is valid if the password in that key descends from the master password by using a validity relation expressed in terms of a symmetric-key algorithm. We analyse a number of security problems. For each problem, a solution is presented and discussed. In certain cases, extensions to the original key paradigm are introduced. The problems considered include the revocation of access authorizations; bounded keys expressing limitations on the number of iterated utilizations of the same key to access the corresponding object; repositories, which are objects aimed at storing keys, possibly organized into hierarchical structures; and the merging of two keys into a single key featuring a composite authorization that includes the access rights in the two keys.
EVALUATING THE REFINING CAPACITY IN LOGISTICS MANAGEMENT OF INDIAN OIL CORPORATION LIMITED.

Logistics management in the petroleum industry is a unique type of management which contains various challenges, specifically in the logistics area, that are not present in most other industries. The logistics problems influence the activities of oil companies. Logistics is the detailed organization and accomplishment of complex operations. The entire process consists of managing inventory, fulfilling orders, and shipping packages. It is a service industry thatis integral to supply chain management. Oil refining is an essential process for transforming crude oil into marketable products such as fuels, lubricants, and kerosene. A typical oil-refining process consists of several processing units such as distillation, cracking, coking, reforming, and post treatment and refining of the products. In this empirical study the author would like to emphasis on the Refining Capacity in Logistics Management of Indian Oil Corporation Limited. It includes an organization of professional activities such as planning, controlling, managing, directing, coordinating, forecasting, warehousing, and transporting. It is the skillful organization of time and cost of the better operation of all modes of transport. It involves the integration of information, transportation, warehousing, inventory management, and manufacturing or materials management. It also involves a variety of value-added services. The purpose of this article is to empirically analyze and evaluate the refining capacity in logistics management of IOCL Keywords: accomplishment, integral, upstream, downstream
Interspecific coprophagia by wild red foxes: DNA metabarcoding reveals a potentially widespread form of commensalism among animals

Abstract Vertebrate animals are known to consume other species' faeces, yet the role of such coprophagy in species dynamics remains unknown, not least due to the methodological challenges of documenting it. In a large‐scale metabarcoding study of red fox and pine marten scats, we document a high occurrence of domestic dog DNA in red fox scats and investigate if it can be attributed to interspecific coprophagia. We tested whether experimental artifacts or other sources of DNA could account for dog DNA, regressed dog occurrence in the diet of fox against that of the fox’s main prey, short‐tailed field voles, and consider whether predation or scavenging could explain the presence of dog DNA. Additionally, we determined the calorific value of dog faeces through calorimetric explosion. The high occurrence of dog DNA in the diet of fox, the timing of its increase, and the negative relationship between dog and the fox's main prey, point to dog faeces as the source of DNA in fox scats. Dog faeces being highly calorific, we found that foxes, but not pine martens, regularly exploit them, seemingly as an alternative resource to fluctuating prey. Scattered accounts from the literature may suggest that interspecific coprophagia is a potentially frequent and widespread form of interaction among vertebrates. However, further work should address its prevalence in other systems and the implications for ecological communities. Tools such as metabarcoding offer a way forward.
Users’ Acceptance and Sense of Presence towards VR Application with Stimulus Effectors on a Stationary Bicycle for Physical Training

—This research’s objective is to identify lacking elements in various effectors utilized in current physical training for cyclists. This encompasses both virtual reality-based system and indoor conventional training. Another objective is to identify user’s acceptance from the use of vProCycle; which acts as the primary instrument of this study. Virtual Reality (VR) technology is a computer-generated simulation experience where immersive surroundings replicate lifelike environments – and is used for cyclists’ physical training. Distinctive combinations of stimulus effectors (such as altitude, wind-effect, visuals, audio etcetera) have been applied to simulate actual world training environment. This is in order to increase the fidelity of presence for the participants involved, with emphasis on the five human senses. However, in this research the focus is only on hearing, sight, and interaction. The methodology of this mixed-mode pilot study is inclusive of 2 cyclists as participants and a 30 minute training session inside the hypoxic chamber room, whereby they have experienced a VR visual route replica of L'Étape du Tour, France. Variables composed of distinctive stimulus effectors are employed during the training, and survey interviews are utilized to gain users’ insight. Results from this pilot study on the presence level indicate that the cyclists’ have given high scores. This high score means that the cyclists were immersed while using the vProCycle system. In addition, the cyclists’ also gave a high score on the level of technology acceptance towards using vProCycle. The main contribution from this study is to understand how various combinations of stimulus effectors can be applied in a VR-based training system.
Temperature Dependence on Fin-FET Electrical Parameters for Al2O3 and HfO2 Dielectric Materials: A Comparative Study

Scaling down of device dimensions comes with both pros and cons which includes higher device density, lesser area requirement and increase in leakage contribution as well. This leakage sources limit the device scaling up-to certain dimensions but by introduction of multi gate Field Effect Transistors (FET) and use of different gate oxides, the device dimension can be tuned accordingly so that the leakage effects are minimized. Temperature plays a key role to affect the device performance as the size is reduced further. This paper deals with the effect on Fin-FET device performance for different gate oxides by varying the environment temperature from 273 K to 450 K.
Changing Hospital Care For Older Adults: The Case for Geriatric Hospitals in the United States

Hospital care of frail older adults is far from optimal. Although some geriatric models of care have been shown to improve outcomes, the effect size is small and models are difficult to fully implement, sustain and replicate. The two root causes for these shortcomings are competing interests (high revenue generating diseases, procedures and surgeries) and current hospital cultures (for example a culture of safety that emphasizes bed alarms and immobility rather than frequent ambulation). Geriatric hospitals would be hospitals completely dedicated to the care of frail older patients, a group which is most vulnerable to the negative consequences of a hospitalization. They would differ from a typical adult hospital because they could implement evidence based principles of successful geriatric models of care on a hospital wide basis, which would make them sustainable and allow for scaling up of proven outcomes. Innovative structural designs, unachievable in a typical adult hospital, would enhance mobility while maintaining safety. Financial viability and stability would be a challenge but should be feasible, likely through affiliation with larger health care systems with other hospitals because of cost savings associated with geriatric models of care (decreased length of stay, increased likelihood of discharge home, without increasing costs).
CGS 30440 : A Dual Inhibitor of Angiotensin-Converting Enzyme and Neutral Endopeptidase 24

For nearly two decades, angiotensin converting enzyme (ACE) inhibitors have been used in the management of hypertension and as adjunctive therapy in the treatment of congestive heart failure (15,26,27). Clinical studies have demonstrated that ACE inhibitors decrease the morbidity and mortality following myocardial infarction (49) and prevent heart failure in patients with left ventricular dysfunction (50,63). Captopril, the first ACE inhibitor discovered in 1975, has been approved for the treatment of nephropathy associated with type 1 diabetes mellitus (38). Clearly, the success achieved with ACE inhibitors in the management of cardiovascular diseases demonstrates the important role that the renin-angiotensin system plays in the etiology of these conditions. Upon the demonstration that neutral endopeptidase (NEP) 24.11 was the enzyme responsible for the degradation of the endogenous vasodilator and natriuretic hormone, atrial natriuretic peptide (ANP; 17,34,45), interest grew in the inhibition of this enzyme as a new therapeutic approach to hypertension and heart failure. Intravenous infusions of ANP reduce blood pressure while causing diuresis and increased urinary excretion of sodium and cGMP (32). Short-term studies of renal failure in rats with reduced renal mass have demonstrated some improvement in renal function with the use of phosphoramidon, a NEP inhibitor (36,72). As a result, several NEP inhibitors have been evaluated clinically for the treatment of hypertension and congestive heart failure (CHF). In one study involving patients with essential hypertension, substantial lowering of blood pressure was observed (44). However, most clinical trials have reported modest or no significant effects (7,43,54–57). Consequently, meaningful clinical improvements in the treatment of any cardiovascular disease with this class of compound have yet to be established.
Hyperprolactinaemia and female reproductive function: what does the evidence say?

Raised levels of prolactin are common and can result in the inhibition of ovulation and infertility. This review summarises the published evidence on the association between hyperprolactinaemia and fertility in women. The evidence on the assessment and treatment of the subfertile woman with clinical or biochemical evidence of hyperprolactinaemia is discussed. The management of hyperprolactinaemia in pregnancy is discussed.
Fruit and Vegetable Peel-Enriched Functional Foods: Potential Avenues and Health Perspectives

Fresh fruit and vegetables are highly utilized commodities by health-conscious consumers and represent a prominent segment in the functional and nutritional food sector. However, food processing is causing significant loss of nutritional components, and the generation of waste is creating serious economic and environmental problems. Fruit and vegetables encompass husk, peels, pods, pomace, seeds, and stems, which are usually discarded, despite being known to contain potentially beneficial compounds, such as carotenoids, dietary fibers, enzymes, and polyphenols. The emerging interest in the food industry in the nutritional and biofunctional constituents of polyphenols has prompted the utilization of fruit and vegetable waste for developing enriched and functional foods, with applications in the pharmaceutical industry. Moreover, the utilization of waste for developing diverse and crucial bioactive commodities is a fundamental step in sustainable development. Furthermore, it provides evidence regarding the applicability of fruit and vegetable waste in different food formulations especially bakery, jam, and meat based products.
Visualization of Accidents Data in United States

Car accidents cause a lot of damage in real life including human souls, economic problems, and so on. The number of human deaths caused by car accidents increasing daily is vast spread. The economic problems caused by car accidents cause an economic problem for both people and countries. Python programming language was used in the paper to visualize some properties and issues. Python libraries were used like Pandas, NumPy, Matplotlib, and Seaborn for visualization purposes. The paper introduced some shapes that display the dataset and the problem in an understandable way for the readers. This study will help people to avoid accidents even in a small way.
The Clinical Research Office of the Endourological Society Ureteroscopy Global Study: Indications, Complications, and Outcomes in 11,885 Patients

Abstract Purpose: To assess the current indications for ureteroscopy (URS) treatment, outcome in terms of stone-free rate, and intra- and postoperative complications using the modified Clavien grading system. Patients and Methods: The Clinical Research Office of the Endourological Society collected prospective data as part of the URS Global Study for consecutive patients treated with URS at centers around the world for 1 year. URS was performed according to study protocol and local clinical practice guidelines. The stone size and location were recorded and postoperative outcome and complications, graded according to the modified Clavien grading system, reported. Results: Between January 2010 and October 2012, 11,885 patients received URS at 114 centers in 32 countries; 1852 had only renal stones, 8676 had only ureteral stones, and 1145 patients had both types of stone. Fragmentation was performed principally using a laser device (49.0%) or a pneumatic device (30.3%); no device was used in 17.9% of the pat.
A Novel Ex Vivo Bone Culture Model for Regulation of Collagen/Apatite Preferential Orientation by Mechanical Loading

The anisotropic microstructure of bone, composed of collagen fibers and biological apatite crystallites, is an important determinant of its mechanical properties. Recent studies have revealed that the preferential orientation of collagen/apatite composites is closely related to the direction and magnitude of in vivo principal stress. However, the mechanism of alteration in the collagen/apatite microstructure to adapt to the mechanical environment remains unclear. In this study, we established a novel ex vivo bone culture system using embryonic mouse femurs, which enabled artificial control of the mechanical environment. The mineralized femur length significantly increased following cultivation; uniaxial mechanical loading promoted chondrocyte hypertrophy in the growth plates of embryonic mouse femurs. Compressive mechanical loading using the ex vivo bone culture system induced a higher anisotropic microstructure than that observed in the unloaded femur. Osteocytes in the anisotropic bone microstructure were elongated and aligned along the long axis of the femur, which corresponded to the principal loading direction. The ex vivo uniaxial mechanical loading successfully induced the formation of an oriented collagen/apatite microstructure via osteocyte mechano-sensation in a manner quite similar to the in vivo environment.