Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-Linear Resistance Training Program Induced Power and Strength but Not Linear Sprint Velocity and Agility Gains in Young Soccer Players

Background: The present study evaluated the effects of resistance training (RT) following a non-linear periodization model in the physical fitness of young soccer athletes. Methods: Young soccer players (n = 23) were allocated into two groups: an RT group (RTG), and the control group (CON). The RTG underwent 15 weeks of non-linear RT periodization in three weekly sessions in addition to their specific soccer training. The CON continued performing the specific soccer training. Before and after the training period, all of the subjects performed one-repetition maximum (RM) tests for speed, agility, and power (vertical and horizontal jump). Results: The RTG obtained significant gains in one-RM tests (before 64.1 ± 5.8 kg, after 79.1 ± 3.3 kg) and power (vertical jump (before 56 ± 2.7 cm, after 61.3 ± 1.7 cm) and horizontal jump (before 184.5 ± 5.5 cm, after 213.6 ± 3.2 cm)). In contrast, the CON group presented a non-significant increase in one-RM tests and horizontal jump, and a significant reduction in vertical jump (before 55.4 ± 2.2 cm, after 51.3 ± 1.5 cm). Neither group presented significant gains in speed (CON: p = 0.27; RTG: p = 0.72) and agility (CON: p = 0.19; RTG: p = 0.58). Conclusion: Our data suggest that non-linear RT should be inserted into the routine of young soccer athletes for improving strength and power without impairing speed and agility.
Improving Existing Collaborative Filtering Recommendations via Serendipity-Based Algorithm

In this paper, we study how to address the sparsity, accuracy and serendipity issues of top-N recommendation with collaborative filtering (CF). Existing studies commonly use rated items (which form only a small section in a rating matrix) or import some additional information (e.g., details about the items and users) to improve the performance of CF. Unlike these methods, we propose a novel notion towards a huge amount of unrated items: serendipity item. By utilizing serendipity items, we propose concise satisfaction and interest injection (CSII), a method that can effectively find interesting, satisfying, and serendipitous items in unrated items. By preventing uninteresting and unsatisfying items to be recommended as top-N items, this concise-but-novel method improves accuracy and recommendation quality (especially serendipity) substantially. Meanwhile, it can address the sparsity and cold-start issues by enriching the rating matrix in CF without additional information. As our method tackles rating matrix before recommendation procedure, it can be applied to most existing CF methods, such as item-based CF, user-based CF and matrix factorization-based CF. Through comprehensive experiments using abundant real-world datasets with LensKit implementation, we successfully demonstrate that our solution improves the performance of existing CF methods consistently and universally. Moreover, comparing with baseline methods, CSII can extract uninteresting items more carefully and cautiously, avoiding potential items inferred by mistake.
Control Flow Integrity Based on Lightweight Encryption Architecture

Control-flow integrity (CFI) plays a very important role in defending against code reuse attacks by protecting the control flows of programs from being hijacked. However, previous CFI methods suffer from performance overheads, cost, or security issues. In this paper, we propose a new CFI based on a lightweight encryption architecture with advanced encryption standard (LEA-AES) to address the challenges above. The LEA exploits AES to encrypt and decrypt return addresses and instructions at indirect jump destinations, which protects function calls and indirect jumps from being reused by return-oriented programming (ROP) and jump-oriented programming (JOP) attacks. For ROP, the encryption and decryption of return addresses are performed when the call and ret instructions are executing; for JOP, the encryption of instructions are performed when programs are loading into memory and the decryption of instructions are performed right before they are executing. The LEA-AES does not need to revise instruction sets of CPU and its security is also guaranteed by the encryption mechanism in addition to its high performance. Experimental results showed that the run-time and loading time overheads of LEA-AES are both less than 4% and the memory overhead is 0.62%.
An Embedded Tubular PZT Transducer Based Damage Imaging Method for Two-Dimensional Concrete Structures

In this paper, a damage imaging method for 2-D concrete structures is proposed by employing embedded tubular piezoceramic transducers. The proposed method can image the damages when few numbers of transducers are used or less experimental data is collected. First, the time difference of arrival-based delay and sum (DAS) imaging method is adopted to improve the damage localization accuracy for concrete structural health monitoring. Compared with the conventional DAS imaging algorithm, the proposed method increases the potential number of combinations between the response signals induced by the damage in each transmitter and sensor pair, improving the signal to noise ratio of the imaging map and enhancing the performance of the defect detection and location. Second, to enable the proposed method applicable to a 2-D concrete structure (such as cement concrete pavement and shear walls), embeddable tubular lead zirconate titanate (PZT) transducers rather than conventional PZT patches are used. The new tubular PZT transducers are able to generate radially uniform stress waves in a planar concrete structure. Due to the special construction of the tubular PZT transducers, the detection aperture is significantly improved. Therefore, a few transducers are needed in contrast with the conventional PZT patches. The experimental results conducted on a concrete slab with eight embedded tubular PZT transducers demonstrate that the proposed method can predict the defect accurately and efficiently even with few transducers and less experimental data.
Study on teaching methods of fundamental electrical courses in engineering education

Developing students' engineering ability is a core issue of undergraduate education on Electrical Engineering (EE) program. There are many student-centered teaching methods have been applied to technological courses, special for junior and senior, in EE program during the past decades. However, just a few of the methods were used in main fundamental electrical courses for fresh man and sophomore. The paper reviews the student-centered teaching approaches used in EE and then propose to integrate Project Based Learning(PjBL) and Problem Based Learning (PBL) pedagogical approaches into fundamental electrical courses. Our objective of proposal is to improve engineering ability for fresh man and sophomore through teaching design based on the methods. Furthermore, we design two teaching processes based on PBL and PjBL methods in Analog Electronic Circuit course.
A Road Quality Detection Method Based on the Mahalanobis-Taguchi System

As an extremely complicated task, road detection is of vital importance for the traveling comfort and driving safety. While high-end automobiles are already equipped with road detection function, most mid-range cars can only detect and evaluate road conditions leveraging remodeled or additional hardware devices built on vehicles, thereby constraining the road quality detection. With the growing popularity of smartphones, detections based on built-in sensors emerge. Most detections on built-in sensors, nevertheless, are on the basis of Euclidean distance, thus neglecting the correlation between characteristics in road quality, i.e., the acceleration sensor and gyroscope have obvious fluctuations when the vehicle passes through the larger pothole, and there is a connection between them. In this paper, we propose a novel road detection approach based on Mahalanobis–Taguchi system (MTS), leveraging smartphones for data collection and involving the correlation between characteristics. We develop an application to collect and process the data, and then classify road quality conditions. The experimental test was carried out on city roads in Xi’an, Shaanxi. Experiment results reveal that the road surface conditions, including manhole cover, pothole, and speed bump, can be well differentiated with the method based on MTS. To a certain extent, the strategy of marking road conditions to the navigation map can effectively improve not only driving experience and traveling comfort but also driving safety, thereby providing more supports for the maintenance units.
Analyzing interdependencies in a project portfolio using social network analysis metrics

As an extension to a previous study on the use of network mapping as a tool for visual representation of interdependencies in a project portfolio, this study employs five social network metrics (density, centralization, betweenness centrality, in-degree centrality, and out-degree centrality) for analyzing interdependencies within a project portfolio. Based on the in-degree and out-degree centrality values, projects can be classified, in terms of their interdependencies, as being: autonomous, dependent, linkage, or independent projects. An example is presented of a portfolio comprising 18 projects.
From Focal Stack to Tensor Light-Field Display

We propose a method of using a focal stack, i.e., a set of differently focused images, as the input for a novel light field display called a “tensor display. ” Although this display consists of only a few light attenuating layers located in front of a backlight, it can be viewed from many directions (angles) simultaneously without the resolution of each viewing direction being sacrificed. Conventionally, a transmittance pattern is calculated for each layer from a light field, namely, a set of dense multi-view images (typically dozens) that are to be observed from different directions. However, preparing such a massive amount of images is often cumbersome for real objects. We developed a method that does not require a complete light field as the input; instead, a focal stack composed of only a few differently focused images is directly transformed into layer patterns. Our method greatly reduces the cost of acquiring data while also maintaining the quality of the output light field. We validated the method with experiments using synthetic light field data sets and a focal stack acquired by an ordinary camera.
Institutions, Trade, and Social Cohesion in Fragile States

This paper examines the contribution of institutions, social cohesion, and trade to development per-capita income) with an emphasis on fragile states in Africa. Results from Arellano-Bond GMM estimations suggest that political institutions, openness to trade, and social cohesion affect growth in fragile states via direct and indirect mechanisms. The results indicate that, beyond certain level, openness to trade may actually be harmful to economic performance in fragile states, particularly in countries with high export concentration. Improvements in institutional quality, or more specifically in democratization, also may be harmful in the short run. On the other hand, social cohesion has a positive effect once a threshold level is reached. The results associated with the effects of political institutions and openness to trade seem to suggest the possibility of a 'catch-22', at least in the short run. If a fragile state tries to improve its political institutions or its openness to trade it may wind up with lower per-capita income. According to the formula used to allocate World Bank-IDA funds, such a country would get more aid. However, while obtaining more aid may be a good outcome, lower income implies more poverty (assuming no changes in income distribution). Thus, aid may not lead to significant poverty reduction.
Mechanical Reliability of Flexible a-InGaZnO TFTs under Dynamic Stretch Stress

Mechanical reliability of flexible amorphous indium–gallium–zinc–oxide (a-IGZO) thin-film transistors (TFTs) is investigated by monitoring the electrical characteristic of TFTs before and after the dynamic stretch stress up to 300k cycles. With increasing the stretch cycles degradation features in a decrease in the on-state current, an increase in the off-state current, but almost no change in the subthreshold region or the threshold voltage. An approximately linear dependence between the on-state current degradation and the stretch force is observed, from which the critical fracture strain of a-IGZO thin film is determined to be 0.42%. It is proposed that a very few number of nanoscaled mechanical-stress-induced cracks, which originate from the interface between the channel and the gate insulator, and develop into both layers, but introduce only insignificant amount of interface defects, can fully explain the observed degradation.
Deep-Temporal LSTM for Daily Living Action Recognition

In this paper, we propose to improve the traditional use of RNNs by employing a many to many model for video classification. We analyze the importance of modeling spatial layout and temporal encoding for daily living action recognition. Many RGB methods focus only on short term temporal information obtained from optical flow. Skeleton based methods on the other hand show that modeling long term skeleton evolution improves action recognition accuracy. In this work, we propose a deep-temporal LSTM architecture which extends standard LSTM and allows better encoding of temporal information. In addition, we propose to fuse 3D skeleton geometry with deep static appearance. We validate our approach on public available CAD60, MSRDai-lyActivity3D and NTU-RGB+D, achieving competitive performance as compared to the state-of-the art.
The Relationship Between Sense of Community in the School and Students’ Aggressive Behavior: A Multilevel Analysis

School sense of community has been associated with lower levels of students’ aggressive behaviors. The main aim of the study was to examine whether the magnitude of the influence of school sense of community on students’ aggressive behavior is similar or different across schools with different levels of aggressive behaviors. Participants were 1,800 Italian students attending 44 middle and high schools. Using multilevel modeling (a random intercepts and slopes model), we found that the magnitude of the negative relationship between sense of community in the school and students’ aggressive behaviors was stronger in schools with high levels of aggressive behavior.
Investigating the relationship between the quality of life and religious coping in mothers of children with recurrence leukemia

Background: Leukemia is a life-threatening chronic disease for children. The recurrence of the disease causes tension and reduces the quality of life for the family, especially for mothers. Religion is an important humanitarian aspect of holistic care that can be very effective in determining the health level of the patient and the family members. The present study aims at investigating the role of religious coping (RCOPE) in the quality of life for mothers of children with recurrent leukemia. Methods: This is a cross-sectional study of the descriptive-correlational type. Two-hundred mothers with children aging 1–15 years suffering from leukemia were selected using a continuous sampling method. The data were collected using questionnaires eliciting information about personal information, Persian version of the Caregiver Quality of Life Index-Cancer, and RCOPE. The collected data were analyzed in SPSS using descriptive tests and independent samples t-test. Results: The result of examining the relation between life quality and demographic features of mothers showed that education level, income, and occupation had a significant statistical relationship with general quality of life mothers. The results of examining the relationship between quality of life and RCOPE of mothers showed that RCOPE was positively correlated only with the positive coping dimension quality of life (P < 0/001). Negative RCOPE had a significant reverse statistical correlation with general quality of life and all its aspects. Conclusion: The quality of life for the participants in this study was significantly related to RCOPE. Mothers with negative RCOPE faced low scores for quality of life, and religious support can improve their life quality. Further longitudinal studies are required to investigate the effects of establishing support communities.
Aortic Arch Width and Cardiovascular Disease in Men and Women in the Community

Background We sought to determine whether increased aortic arch width (AAW) adds to standard Framingham risk factors and coronary artery calcium (CAC) for prediction of incident adverse cardiovascular disease (CVD) events in community‐dwelling adults. Methods and Results A total of 3026 Framingham Heart Study Offspring and Third Generation cohort participants underwent noncontrast multidetector computed tomography from 2002 to 2005 to quantify CAC. We measured AAW as the distance between the centroids of the ascending and descending thoracic aorta, at the level of main pulmonary artery bifurcation or the right pulmonary artery. We determined sex, age group, and body size specific cut points for high (≥90th percentile) AAW from a healthy referent group (N=1471) and dichotomized AAW as high or not high across all study participants. Clinical covariates were obtained at Offspring cycle 7 (1998–2001) or Third Generation cycle 1 (2002–2005) examinations. The primary CVD outcome was a composite of myocardial infarction, coronary insufficiency, cerebrovascular accident, first hospitalization for heart failure, or CVD death. Cox proportional hazards models were used to estimate hazard ratio of high AAW on time‐to‐incident CVD after adjustment for Framingham risk factors and CAC. Net reclassification improvement was used to assess the effect of adding AAW to the baseline Framingham risk factor+CAC model. A total of 2826 participants (aged 51±11 years, 48% women) had complete covariates and were free of CVD at multidetector computed tomography. Over a median 8.9 years of follow‐up, there were 135 incident CVD events. High AAW was independently predictive of CVD events (hazard ratio, 1.55; P=0.032) and appropriately reclassified participants at risk: net reclassification improvement, 0.31 (95% confidence interval, 0.15–0.48). Conclusion AAW augments traditional CVD risk factors and CAC for prediction of incident adverse CVD events among community‐dwelling adults.
Design and Parameter Study of Integrated Microfluidic Platform for CTC Isolation and Enquiry; A Numerical Approach

Being the second cause of mortality across the globe, there is now a persistent effort to establish new cancer medication and therapies. Any accomplishment in treating cancers entails the existence of accurate identification systems empowering the early diagnosis. Recent studies indicate CTCs’ potential in cancer prognosis as well as therapy monitoring. The chief shortcoming with CTCs is that they are exceedingly rare cells in their clinically relevant concentration. Here, we simulated a microfluidic construct devised for immunomagnetic separation of the particles of interest from the background cells. This separation unit is integrated with a mixer subunit. The mixer is envisioned for mixing the CTC enriched stream with lysis buffer to extract the biological material of the cell. Some modification was proposed on mixing geometry improving the efficacy of the functional unit. A valuation of engaged forces was made and some forces were neglected due to their order of magnitude. The position of the magnet was also optimized by doing parametric study. For the mixer unit, the effect of applied voltage and frequency on mixing index was studied to find the optimal voltage and frequency which provides better mixing. Above-mentioned studies were done on isolated units and the effect of each functional unit on the other is not studied. As the final step, an integrated microfluidic platform composed of both functional subunits was simulated simultaneously. To ensure the independence of results from the grid, grid studies were also performed. The studies carried out on the construct reveal its potential for diagnostic application.
Glioblastoma Stem-Like Cells Are More Susceptible Than Differentiated Cells to Natural Killer Cell Lysis Mediated Through Killer Immunoglobulin-Like Receptors–Human Leukocyte Antigen Ligand Mismatch and Activation Receptor–Ligand Interactions

Glioblastoma (GBM) is the most aggressive brain malignancy in adults, where survival is approximately 14.6 months. Novel therapies are urgently needed and immunotherapy has hailed a new dawn for treatment of solid tumors. Natural killer (NK) cells may be amenable therapeutic effectors against heterogeneous GBM, since they also do not require co-stimulation and antigen specificity. However, it is unclear how culture media routinely used in pre-clinical studies affect GBM cell responses to NK-mediated cytotoxicity. We hypothesized that the culture medium would affect GBM cell phenotype, proliferation, and responses to NK cytotoxicity. We investigated in paired analyses n = 6 patient-derived primary GBM cells propagated in stem cell or serum-containing medium for morphology, proliferation, as well as susceptibility to NK cytolysis and related this to expression of surface and intracellular lineage markers, as well as ligands for NK cell activating and inhibitory receptors. We genotyped the GBM cells for human leukocyte antigen (HLA) as well as the killer immunoglobulin-like receptors (KIR) of the n = 6 allogeneic NK cells used as effector cells. Culture in serum-containing medium induced a switch in GBM cell morphology from suspension neuropsheres to adherent epithelial–mesenchymal-like phenotypes, which was partially reversible. The differentiated cells diminished expression of nestin, CD133 (prominin-1), and A2B5 putative glioma stem-cell markers, attenuated growth, diminished expression of ligands for activating NK cell receptors, while upregulating class I HLA ligands for NK cell inhibitory receptors. When maintained in serum-containing medium, fewer GBM cells expressed intercellular cell adhesion molecule-1 (ICAM-1) and were less susceptible to lysis by NK cells expressing αLβ2 integrin receptor (LFA-1), mediated through combination of inhibitory KIR–HLA ligand mismatch and diminished activation receptor–ligand interactions compared to cells maintained in stem cell media. We conclude that development of preclinical immunotherapy strategies against GBM should not use cells propagated in serum-containing media to avoid misinterpretation of potential therapeutic responses.
An Empirical Analysis of the Correlation of Syntax and Prosody

The relation of syntax and prosody (the syntax--prosody interface) has been an active area of research, mostly in linguistics and typically studied under controlled conditions. More recently, prosody has also been successfully used in the data-based training of syntax parsers. However, there is a gap between the controlled and detailed study of the individual effects between syntax and prosody and the large-scale application of prosody in syntactic parsing with only a shallow analysis of the respective influences. In this paper, we close the gap by investigating the significance of correlations of prosodic realization with specific syntactic functions using linear mixed effects models in a very large corpus of read-out German encyclopedic texts. Using this corpus, we are able to analyze prosodic structuring performed by a diverse set of speakers while they try to optimize factual content delivery. After normalization by speaker, we obtain significant effects, e.g. confirming that the subject function, as compared to the object function, has a positive effect on pitch and duration of a word, but a negative effect on loudness.