Miracle-dz/UniFAR-FTUs huggingface dataset:
YouTube aware Personalized Ranking System for Future ICT Education

With the various social services such as Facebook, Twitter and YouTube, many kind of bit data types are exponentially increasing. Therefore, people have difficulties to find the sub-optimal service among the overflow data in Internet. In education area, new trend with various ICT tools such as YouTube, STEAM (Science, Technology, Engineering, the Arts and Mathematics) supportive computational thinking software is famous. In this paper, we propose YouTube aware personalized recommender system for future ICT education. It is a technique to automatically rank high - visibility channels and videos in YouTube based on the personalized learning topic. To do this, we analyze the relevance of statistics such as views, likes, subscribers, and comments in YouTube, and use the R programming language with the rvest, ggplot2, stringr packages and the Chrome extension called SelectorGadget for direct data crawling. Initial experiments confirmed the possibility of the proposed technique and confirmed the possibility of extension.
Familial history of hypertension-induced impairment on heart rate variability was not observed in strength-trained subjects

Family history of hypertension is an important predictive factor for hypertension and is associated with hemodynamic and autonomic abnormalities. Previous studies reported that strength training might reduce arterial blood pressure (AP), as well as improve heart rate variability (HRV). However, the benefits of strength training in the offspring of hypertensive parents have not been fully evaluated. Here, we analyzed the impact of strength training on hemodynamics and autonomic parameters in offspring of hypertensive subjects. We performed a cross-sectional study with sedentary or physically active offspring of normotensives (S-ON and A-ON) or hypertensives (S-OH and A-OH). We recorded RR interval for analysis of HRV. AP was similar between groups. Sedentary offspring of hypertensives presented impairment of total variance of RR interval, as well as an increase in cardiac sympathovagal balance (S-OH: 4.2±0.7 vs S-ON: 2.8±0.4 and A-ON: 2.4±0.1). In contrast, the strength-trained group with a family history of hypertension did not show such dysfunctions. In conclusion, sedentary offspring of hypertensives, despite displaying no changes in AP, showed reduced HRV, reinforcing the hypothesis that autonomic dysfunctions have been associated with higher risk of hypertension onset. Our findings demonstrated that strength-trained offspring of hypertensives did not present impaired HRV, thus reinforcing the benefits of an active lifestyle in the prevention of early dysfunctions associated with the onset of hypertension in predisposed populations.
Opportunistic Medium Access for Hyper-Dense Beamformed IEEE 802.11ax Wireless Networks

This paper proposes a dynamic medium access protocol for reducing delay cost due to multiple network allocation vectors (NAVs) and also propose low-complexity and swift direction selection algorithm with opportunistic beamforming in hyper-dense IEEE 802.11ax wireless networks. The performance of our proposed algorithm is evaluated in hyper-dense scenarios.
A Facultative Electroactive Chromium(VI)-Reducing Bacterium Aerobically Isolated From a Biocathode Microbial Fuel Cell

A facultative electroactive bacterium, designated strain H, was aerobically isolated from the biocathode of a hexavalent chromium (Cr(VI))-reducing microbial fuel cell (MFC). Strain H is Gram-positive and rod shaped (1–3 μm length). 16S rRNA gene analysis suggested that this strain (accession number MH782060) belongs to the genus Bacillus and shows maximum similarity to Bacillus cereus whose electrochemical activity has never previously been reported. Moreover, this strain showed efficient Cr(VI)-reducing ability in both heterotrophic (aerobic LB broth) and autotrophic (anaerobic MFC cathode) environments. Cr(VI) removal reached 50.6 ± 1.8% after 20 h in LB broth supplemented with Cr(VI) (40 mg/L). The strain H biocathode significantly improved the performance of the Cr(VI)-reducing MFC, achieving a maximum power density of 31.80 ± 1.06 mW/m2 and Cr(VI) removal rate of 2.56 ± 0.10 mg/L–h, which were 1.26 and 1.75 times higher than those of the MFC with the sterile control cathode, respectively. This study offers a novel Gram-positive Bacillus sp. strain for Cr(VI) removal in MFCs, and shows a facile aerobic isolation method could be used to screen facultative electroactive bacteria.
Floor-Projected Guidance Cues for Collaborative Exploration of Spatial Augmented Reality Setups

In this paper we present a floor-based user interface (UI) that allows multiple users to explore a spatial augmented reality (SAR) environment with both monoscopic and stereoscopic projections. Such environments are characterized by a low level of user instrumentation and the capability of providing a shared interaction space for multiple users. However, projector-based systems using stereoscopic display are usually single-user setups, since they can provide the correct perspective for only one tracked person. To address this problem, we developed a set of guidance cues, which are projected onto the floor in order to assist multiple users regarding (i) the interaction with the SAR system, (ii) the identification of regions of interest and ideal viewpoints, and (iii) the collaboration with each other. In a user study with 40 participants all cues were evaluated and a set of feedback elements, which are essential to guarantee an intuitive self-explaining interaction, was identified. The results of the study also indicate that the developed UI guides users to more favorable viewpoints and therefore is able to improve the experience in a multi-user SAR environment.
Does effective gaze behavior lead to enhanced performance in a complex error-detection cockpit task?

The purpose of the current study was to examine the relationship between expertise, performance, and gaze behavior in a complex error-detection cockpit task. Twenty-four pilots and 26 non-pilots viewed video-clips from a pilot’s viewpoint and were asked to detect malfunctions in the cockpit instrument panel. Compared to non-pilots, pilots detected more malfunctioning instruments, had shorter dwell times on the instruments, made more transitions, visited task-relevant areas more often, and dwelled longer on the areas between the instruments. These results provide evidence for three theories that explain underlying processes for expert performance: The long-term working memory theory, the information-reduction hypothesis, and the holistic model of image perception. In addition, the results for generic attentional skills indicated a higher capability to switch between global and local information processing in pilots compared to non-pilots. Taken together, the results suggest that gaze behavior as well as other generic skills may provide important information concerning underlying processes that can explain successful performance during flight in expert pilots.
Effects of brown rice particle size on energy and nutrient digestibility in diets for young pigs and adult sows.

The objective of this study was to evaluate the effects of brown rice particle size on the apparent total tract digestibility (ATTD) of energy and nutrients in diets fed to pigs at four different stages and determine the optimal particle size (OPS) of brown rice for young pigs and adult sows. Eighteen weanling piglets (initial body weight (BW): 10.2 ± 0.4 kg), 18 growing barrows (initial BW: 35.6 ± 1.5 kg), 24 gestating sows (initial BW: 220 ± 2.8 kg), and 24 lactating sows (initial BW: 208 ± 3.8 kg) were allotted to 1 of 3 or 4 diets based on completely randomized design with six replicates per diet. Within each stage, brown rice-soybean meal diets were formulated, and the only difference among diets was the brown rice used was ground to the specified particle size. Each stage lasted 19 days, including 7 days for cage adaptation, 7 days for diet adaptation, and 5 days for total feces and urine collection. For weanling and growing pigs, the results showed that pigs fed brown rice milled to 600 μm had a greater ATTD of dry matter (DM), gross energy (GE), and crude protein (CP) than pigs fed brown rice ground to 800 μm. However, there was no improvement in the ATTD of energy and nutrients for pigs fed brown rice milled to 600 μm versus 400 μm. The concentration of nitrogen (N) in feces significantly reduced (p < 0.01) as brown rice particle size decreased from 800 to 400 μm. However, there were no differences in phosphorus (P) output and absorbed P among diets. For gestating and lactating sows, a reduction in particle size from 1,000 to 800 μm significantly improved (p < 0.01) the ATTD of DM, GE, and CP in diets. However, there was also no improvement in the ATTD of energy and nutrients for pigs fed brown rice milled from 800 to 400 μm. In conclusion, considering the energy required for milling and nutrient digestibility, milling brown rice to 600 and 800 μm are recommended in diets for young pigs and adult sows, respectively. The OPS of brown rice for pigs at different physiological stages should be considered to economically and accurately formulate diets.
Taming the Latency in Multi-User VR 360°: A QoE-Aware Deep Learning-Aided Multicast Framework

Immersive virtual reality (VR) applications require ultra-high data rate and low-latency for smooth operation. Hence in this paper, aiming to improve VR experience in multi-user VR wireless video streaming, a deep-learning aided scheme for maximizing the quality of the delivered video chunks with low-latency is proposed. Therein the correlations in the predicted field of view (FoV) and locations of viewers watching 360° HD VR videos are capitalized on to realize a proactive FoV-centric millimeter wave (mmWave) physical-layer multicast transmission. The problem is cast as a frame quality maximization problem subject to tight latency constraints and network stability. The problem is then decoupled into an HD frame request admission and scheduling subproblems and a matching theory game is formulated to solve the scheduling subproblem by associating requests from clusters of users to mmWave small cell base stations (SBSs) for their unicast/multicast transmission. Furthermore, for realistic modeling and simulation purposes, a real VR head-tracking dataset and a deep recurrent neural network (DRNN) based on gated recurrent units (GRUs) are leveraged. Extensive simulation results show how the content-reuse for clusters of users with highly overlapping FoVs brought in by multicasting reduces the VR frame delay in 12%. This reduction is further boosted by proactiveness that cuts by half the average delays of both reactive unicast and multicast baselines while preserving HD delivery rates above 98%. Finally, enforcing tight latency bounds shortens the delay-tail as evinced by 13% lower delays in the 99th percentile.
The Design of Cost Efficient Health Monitoring System based on Internet of Things and Big Data

Nowadays, penetration of the Internet of Things (IoT) technology was spread in various domains. One of the promising business domains of IoT adoption is healthcare. With the vast amount and variance of smart wearable device based on IoT principles on the market, a consumer could easily find equipment to track their health status (i.e., blood pressure, heart rate, body temperature, etc.). But, those devices have two drawbacks. First, the significant cost of investment was required for implementing those devices on a massive scale (i.e., patient monitoring in a hospital). The second drawback is the lack of platform which can efficiently manage multiple devices concerning storing and organizing the data generated by those wearable devices. In this paper, we introduced a cost-efficient design of healthcare monitoring system based on IoT technology. This design proposed holistic approach from providing less expensive hardware for sensing purposes and a sub-platform for managing acquired data from sensing activity based on big data technology.
Boosting the Performance of Nested Spatial Mapping with Unequal Modulation in 802.11n

This paper shows that the performance of nested spatial mapping, a method devised to convert dual data streams of MIMO system into a corresponding single stream with the down-scaling of the secondary stream, can be improved by the adoption of unequal modulation. This method helps to lower the required SNR of 256-QAM equivalent throughput of the nested spatial mapping compared with the previous works. Furthermore, it allows the achievement of the 1024-QAM equivalent peak throughput boosted up to 108.3Mbps, 25% increase from previous works or 50% increase from the peak conventional single data stream, with a single antenna configuration while still staying in the grammar of 802.11n.
Potential targets of TMEM176A in the growth of glioblastoma cells

Background Human transmembrane protein 176A (TMEM176A) is upregulated in several tumors. Growing evidence has suggested the high clinical value of TMEM176A as a biomarker for early tumor diagnosis. However, less is known about the function of TMEM176A in glioblastomas (GBMs). Methods In this study, we systematically analyzed the effect of TMEM176A knockdown and overexpression in GBM cells (U87, T98G and A172) on cell proliferation, cell cycle and cell apoptosis. Results Our results indicated that TMEM176A acted as a tumor-promoting factor in GBM cells. Moreover, a specific ERK1/2 inhibitor, U0126, suppressed the function of TMEM176A in GBM cells. Therefore, we proposed that TMEM176A may be involved in a pathway including ERK1/2 in the regulation of the cell cycle. Moreover, we also found that TMEM176A affected the expression of Bcl2 and played a central role in apoptosis of GBM cells. Conclusion Taken together, our results not only elucidated the multiple functions of TMEM176A in GBM cells but also provided a deep insight into the potential targets of TMEM176A in the growth of GBM cells.
The 3D imaging of mesenchymal stem cells on porous scaffolds using high‐contrasted x‐ray computed nanotomography

This study presents an X‐ray computed nanotomography (nano‐CT) based, high‐resolution imaging technique. Thanks to a voxel resolution of 540 nm, this novel technique is suitable for observing the 3D morphology of soft biopolymeric scaffolds seeded with stem cells. A sample of highly porous collagen scaffold seeded with contrasted mesenchymal stem cells (MSC) was investigated by using lab‐based nano‐CT. The whole volume of the sample was analysed without its destruction. To evaluate the potential of nano‐CT, a comparison measurement was done using a standard microscopy technique. Scanning electron microscopy (SEM) combined with energy dispersive X‐ray analysis (EDX) established an extension and local accumulation of the contrasting agent – heavy metallic osmium tetroxide. The presented imaging technique is novel as it will help to understand better the behaviour of cells while interacting with three‐dimensional biomaterials. This is crucial for both experimental and clinical tissue engineering applications in order to limit the risk of uncontrolled cell growth, and potentially tumour formation.
Expression of β-catenin in human trophoblast and its role in placenta accreta and placenta previa

Objectives To investigate the expression of β-catenin in chorionic villi, and to explore its roles in placenta accreta and placenta previa. Methods We compared β-catenin expression in the control group, placenta accreta group (lesion area and normal zones), and placenta previa group (placental central and placental edge zones) by immunohistochemistry, Western blotting, and RT-PCR techniques. Results Compared with the normal group, the placenta accreta group had a longer length of stay, greater bleeding volume, and lower newborn birth weight. Further, the expression of β-catenin was lower in both placenta previa and placenta accreta groups than in the control group, as measured by immunohistochemistry. Compared with the control group, expression of β-catenin was significantly lower in the placenta previa and placenta accreta groups by Western blotting and RT-PCR. Importantly, the level of placental β-catenin was significantly different when compared between the lesion and normal zones of placenta. Conclusion The expression of β-catenin in placenta accreta might play an important role in the regulation of placental cell invasion; low expression of β-catenin in placenta accreta might be responsible for excessive trophoblastic invasion.
A bilobal model of Ca2+-dependent inactivation to probe the physiology of L-type Ca2+ channels

&NA; L‐type calcium channels (LTCCs) are critical elements of normal cardiac function, playing a major role in orchestrating cardiac electrical activity and initiating downstream signaling processes. LTCCs thus use feedback mechanisms to precisely control calcium (Ca2+) entry into cells. Of these, Ca2+‐dependent inactivation (CDI) is significant because it shapes cardiac action potential duration and is essential for normal cardiac rhythm. This important form of regulation is mediated by a resident Ca2+ sensor, calmodulin (CaM), which is comprised of two lobes that are each capable of responding to spatially distinct Ca2+ sources. Disruption of CaM‐mediated CDI leads to severe forms of long‐QT syndrome (LQTS) and life‐threatening arrhythmias. Thus, a model capable of capturing the nuances of CaM‐mediated CDI would facilitate increased understanding of cardiac (patho)physiology. However, one critical barrier to achieving a detailed kinetic model of CDI has been the lack of quantitative data characterizing CDI as a function of Ca2+. This data deficit stems from the experimental challenge of uncoupling the effect of channel gating on Ca2+ entry. To overcome this obstacle, we use photo‐uncaging of Ca2+ to deliver a measurable Ca2+ input to CaM/LTCCs, while simultaneously recording CDI. Moreover, we use engineered CaMs with Ca2+ binding restricted to a single lobe, to isolate the kinetic response of each lobe. These high‐resolution measurements enable us to build mathematical models for each lobe of CaM, which we use as building blocks for a full‐scale bilobal model of CDI. Finally, we use this model to probe the pathogenesis of LQTS associated with mutations in CaM (calmodulinopathies). Each of these models accurately recapitulates the kinetics and steady‐state properties of CDI in both physiological and pathological states, thus offering powerful new insights into the mechanistic alterations underlying cardiac arrhythmias. &NA; L‐type calcium channels undergo Ca2+‐dependent inactivation (CDI) in order to precisely control the entry of Ca2+ into cells such as cardiomyocytes. Limpitikul et al. develop a bilobal model of CDI and use it to understand the pathogenesis of arrhythmias associated with mutations in CaM.
Pathogens in space: Advancing understanding of pathogen dynamics and disease ecology through landscape genetics

Landscape genetics has provided many insights into how heterogeneous landscape features drive processes influencing spatial genetic variation in free‐living organisms. This rapidly developing field has focused heavily on vertebrates, and expansion of this scope to the study of infectious diseases holds great potential for landscape geneticists and disease ecologists alike. The potential application of landscape genetics to infectious agents has garnered attention at formative stages in the development of landscape genetics, but systematic examination is lacking. We comprehensively review how landscape genetics is being used to better understand pathogen dynamics. We characterize the field and evaluate the types of questions addressed, approaches used and systems studied. We also review the now established landscape genetic methods and their realized and potential applications to disease ecology. Lastly, we identify emerging frontiers in the landscape genetic study of infectious agents, including recent phylogeographic approaches and frameworks for studying complex multihost and host‐vector systems. Our review emphasizes the expanding utility of landscape genetic methods available for elucidating key pathogen dynamics (particularly transmission and spread) and also how landscape genetic studies of pathogens can provide insight into host population dynamics. Through this review, we convey how increasing awareness of the complementarity of landscape genetics and disease ecology among practitioners of each field promises to drive important cross‐disciplinary advances.
iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Person identification in the wild is very challenging due to great variation in poses, face quality, clothes, makeup and so on. Traditional research, such as face recognition, person re-identification, and speaker recognition, often focuses on a single modal of information, which is inadequate to handle all the situations in practice. Multi-modal person identification is a more promising way that we can jointly utilize face, head, body, audio features, and so on. In this paper, we introduce iQIYI-VID, the largest video dataset for multi-modal person identification. It is composed of 600K video clips of 5,000 celebrities. These video clips are extracted from 400K hours of online videos of various types, ranging from movies, variety shows, TV series, to news broadcasting. All video clips pass through a careful human annotation process, and the error rate of labels is lower than 0.2\%. We evaluated the state-of-art models of face recognition, person re-identification, and speaker recognition on the iQIYI-VID dataset. Experimental results show that these models are still far from being perfect for the task of person identification in the wild. We proposed a Multi-modal Attention module to fuse multi-modal features that can improve person identification considerably. We have released the dataset online to promote multi-modal person identification research.
Modified Palygorskite Improves Immunity, Antioxidant Ability, Intestinal Morphology, and Barrier Function in Broiler Chickens Fed Naturally Contaminated Diet with Permitted Feed Concentrations of Fusarium Mycotoxins

This study investigated effects of modified palygorskite (MPal) on immunity, antioxidant capacity, and intestinal barrier integrity in broiler chickens challenged with permitted feed Fusarium mycotoxin concentrations. One-day-old chicks were allocated into three treatments with eight replicates. Chickens in three groups were fed a basal diet with normal corn (control), contaminated diet containing moldy corn, with Fusarium mycotoxins contents in the diets lower than permitted feed mycotoxin concentrations, and the contaminated diet supplemented with 1 g/kg MPal for 42 days, respectively. Compared with control, moldy corn decreased bursa of Fabricius weight, jejunal secreted immunoglobulin A concentration, ileal superoxide dismutase (SOD) activity, jejunal and ileal villus height (VH) and VH/crypt depth (CD) ratio, and jejunal zonula occludens-1 and mucin 2 mRNA abundances at 42 days as well as ileal VH/CD ratio at 21 days; while they increased jejunal malondialdehyde accumulation at 21 and 42 days, jejunal SOD activity at 21 days, and serum diamine oxidase activity at 42 days, which were almost recovered by MPal. Moreover, dietary MPal upregulated ileal claudin-2 mRNA abundance compared with other two groups. The results indicated that MPal addition exerted protective effects on immunity, oxidative status, and intestinal barrier integrity in chickens challenged with permitted feed Fusarium mycotoxins levels.