Miracle-dz/UniFAR-FTUs huggingface dataset:
WHEN TECHNOLOGY-BASED LEARNING IS THE ONLY OPTION: EVALUATING PERCEIVED USEFULNESS OF SOCIAL MEDIA

During unusual times involving discontinued face to face sessions in formal education settings, mobile learning (m-learning) involving social networking sites has become a popular alternative since students are always in possession of handheld electronic devices. When connection through technology was the only option due to social distancing in current pandemic, students who were already active extensive users of social networks found online learning as a new way of getting formal education. The objective of this study was to explore how the state of student's behavioral intention for social media based online learning is driven by external factors like subjective norm and self-efficacy. To fulfill this aim, this study uses a quantitative approach to study the factors that mediate the decision behavior of students towards social media employed as a learning platform and use of m-learning involving social networks. A sample of management science students (n= 255) from four universities participated in the research. Analysis of data suggested that subjective norm and self-efficacy were significant predictors for student participation in e-learning initiatives involving social media and networks. The proposed serial mediation model revealed that self-efficacy and perceived usefulness in that order were playing a positive significant role in student use of social networking for learning. No significant differences were observed between either gender when self-efficacy, perceived usefulness, and use of social media in education were considered.
A stochastic inspection about genetic variants of Covid-19 circulating in Brazil during 2020

In this article, we investigate the existence of genetic variants of Covid-19 circulating in Brazil in the 2020 outbreak. We apply the findings of [1] about the Partition Markov Model (PMM) with gap in genetic sequences of Covid-19, see also [2]. Using a metric on those models, we define the proximity between complete genomic sequences of the NCBI base. We see that two groups can be identified among the five available sequences that come from Brazil. To verify our claims, we implement a more complete comparison consisting of fourteen sequences, including sequences from Spain and Italy. Such comparison indicates the existence of two groups, where each group includes one from the previously identified Brazilian groups. Then, we found at least two variants of Covid-19 circulating in Brazil during the 2020 outbreak. © 2022 American Institute of Physics Inc. All rights reserved.
About the effects of sentiments on topic detection in social networks

Topic detection from large textual data volumes extracted from Social Networks is an interesting research topic in the context of Big Data. The textual content present in Social Networks contains diverse information that can be exploited in order to obtain useful information. Topic detection and sentiment analysis in social networks are topics of widespread research. The study of both is sometimes intertwined as, usually, user messages revolve around a particular topic and express certain attitude of the user towards the topic discussed. However, this assumption is not valid for all messages as some of them express only general feelings or attitudes and do not refer to something in particular that covers up the topic discussed. In fact, these messages can influence the topic detection process. In this paper, we propose to obtain topics from massive quantities of text data extracted from social networks, without using previous information, and only with the use of unsupervised data mining techniques. We analyze the influence of sentiments in messages and how they affect the topic detection task. Terms related to sentiments provide useful information for a variety of applications, but not for topic detection where they represent a source of unnecessary noise. Experiments are conducted on data obtained from Twitter social network.
Effect of the fibre length on the mechanical anisotropy of glass fibre–reinforced polymer composites printed by Multi Jet Fusion

ABSTRACT Mechanical anisotropy greatly influences the applications of materials printed by additive manufacturing techniques such as Multi Jet Fusion (MJF) and selective laser sintering. However, the mechanical anisotropy of MJF-printed fibre–reinforced polymer composites has not been well understood. In this work, the effect of the fibre length on the mechanical performance of MJF-printed glass fibre–reinforced polyamide 12 (GF/PA12) composites is systematically investigated. Both experimental and simulation results confirm that longer fibres are in favour of fibre alignment in the powder spreading direction. The composite parts with longer fibres exhibit higher porosity. When GFs with an average length of 226 μm are added, the ultimate tensile strength and tensile modulus of the composites measured in the powder bed spreading direction are remarkably improved by 51% and 326%, respectively, as compared with those of neat PA12 specimens. This work provides guidance for the printing of other high-strength fibre–reinforced polymer composites.
An optimal transportation-based recognition algorithm for 3D facial expressions

Facial expression recognition (FER) is an active topic that has many applications. The development of eﬀective algorithms for FER has been a competitive research ﬁeld in the last two decades. In this paper, we propose a fully automatic 3D FER method based on the sparse approximation of 2D feature images. For a prescribed feature deﬁned on the 3D facial surface, we apply a parameterization that not only maps the facial surface onto the unit disk but also locally preserves the feature. To ensure the uniqueness of the solution, some aligning constraints are further taken into account while computing the desired parameterization. The facial surface associated with the feature is then converted into the 2D image of the parameter domain. To recognize the expression of a test facial image, we apply an existing 2D expression recognition model, which is built upon sparse representation. Numerical experiments indicate that the accuracy of the proposed FER algorithm reaches 71.42% on a benchmark facial expression database, which is promising for practical applications.
Quantifying trade‐offs of land multifunctionality evaluated by set pair analysis in ecologically vulnerable areas of northwestern China

Land systems in drylands have been experiencing increasing conflicts among multiple land functions. The improvement of one function is often at the cost of other functions, and trade‐offs occur. Previous studies often cannot adequately address the fuzziness and lack an optimal benchmark when assessing land multifunctionality, and neglect the nonlinear features when quantifying the trade‐offs. Taking the Heihe River Basin (HRB) in China as a study area, we applied the set pair analysis (SPA) to develop a novel framework for assessing land multifunctionality at a grid scale from the production‐living ecological aspects. We then utilized the constraint line fitted with segmented quantile regression to identify the trade‐offs among land functions. The results showed that our developed model could effectively measure land multifunctionality. The overall land multifunctionality in the HRB increased between 2000–2015, and the increased production and living functions made more contributions. From 2000 to 2015, the relationship between production function and ecological function changed from the status of synergy to trade‐off, and the degree first increased and then decreased. The coupling coordination degree index showed that the coordination among land functions was high in the south and low in the north, which was mainly controlled by ecological functions. The effects of natural and anthropogenic drivers on land functions showed nonlinear characteristics, and thresholds existed for some factors showing the abrupt change in influence. We concluded that our research provides reliable and detailed information about the interactions among land functions, which is essential for sustainable land use and territorial spatial planning.
Linear Motor Driven Leg-Press Dynamometer for Testing, Training, and Rehabilitation: A Scoping Review with a Focus on the Concept of Serial Stretch Loading

Background: The purpose of this scoping review was to analyze the evidence of acute and long-term effects of the application of leg-press strength training with or without serial stretch-loading stimuli on various biomechanical and physiological outcomes. Methods: This review was performed in accordance with PRISMA for Scoping Reviews recommendations, and two researchers independently searched the following databases: PubMed, Web of Science, Scopus, ScienceDirect, ProQuest, Cochrane, and Google Scholar. All studies that used unique leg-press device for testing, acute responses and long-term adaptation were included in this review, irrespective of the measured outcomes. A total of 13 studies were included in this review, with 5 focused on the testing capabilities of the device and acute training responses and 8 focused on the long-term adaptations in various physical and physiological outcomes. Results: Regarding the acute responses after leg-press strength training with or without serial stretch-loading stimuli, visible changes were observed in the muscle force, rate of force development, and hormonal concentrations between pre- and postmenopausal women (only one study). Long-term studies revealed different training adaptations after performing leg-press strength training with unique serial stretch-loading stimuli. A positive trend for leg-press strength training with serial stretch-loading was recorded in the young population and athletes; however, more variable training effects favoring one or the other approach were achieved in the older population. Conclusions: In summary, this review shows the uniqueness and usability of a leg-press device that is capable of various exercising modes, including special serial stretch-loading stimuli. The use of this device can serve as a positive addition to training regiments, and the main application appears to be suitable for rehabilitation needs.
Optimal concentration of Syzygium aromaticum powder added to Anchovy TURLM Medium to Prevent The Degradation Shape of Mycobacterium tuberculosis Cells

Alternative clinical diagnostic media for Mycobacterium tuberculosis (MTB) include Anchovy Sweet Seaweed Medium (TURLM). This media reported has good sensitivity and specificity, as well as growth speed, colony count, and fertility rates for MTB examination. In this study, six different types of clove flower powder were added to the TURLM media (Syzygium aromaticum). The goal of this study was to look at the vegetative shape of MTB bacteria in six different TURLM variations. This study was conducted at Microbiology Laboratory of the Medical Laboratory Technician Department at Politeknik Kesehatan Kementerian Kesehatan in Mataram, Indonesia. These findings revealed that complete MTB vegetative cells were mostly found in TURLM media with the addition of 0.5 g clove flower powder
Experimental Study on the Fiber-Matrix Interface Behavior of FRCM/CRM Reinforcement Systems

Masonry existing buildings are subjected to significant structural damages when seismic events occur. Over the last decades, innovative techniques like composite materials based on inorganic mortar (FRCM – Fiber Reinforced Cementitious Matrices) have emerged as attractive solutions for the strengthening of civil structures. FRCM shows better compatibility with masonry substrates with respect to Fiber Reinforced Polymers. The effectiveness of FRCM reinforcement systems relies on the composite-substrate bond behavior which is affected by many parameters, leading to different failure mechanisms. Although numerous studies investigate the FRCM-substrate bond, few attentions have been paid to the study of fiber grid-matrix interface behavior. In this study, the preliminary results of a wider experimental campaign aimed at investigating the interface behavior between fiber and mortar accounting for the contribution of transversal grid wires are presented. Different typologies of fiber and mortar were tested and the results are compared and discussed.
Development and Evaluation of Integrated Chrono-Nutrition Weight Reduction Program among Overweight/Obese with Morning and Evening Chronotypes

This paper describes the development of an integrated chrono-nutrition weight reduction program and the evaluation of the attendance, retention, satisfaction and compliance towards the chrono-nutrition components among morning and evening chronotypes for overweight/obese non-shift workers. The present study was conducted in two phases: Phase I was composed of needs assessments on the chronotypes’ dietary patterns and chrono-nutrition through a scoping review and integrating the chrono-nutrition components (temporal eating pattern, meal timing and sleeping habits) alongside the existing weight reduction module, SLIMSHAPE™. Phase II consisted of a feasibility study to evaluate the integrated chrono-nutrition weight reduction program (SLIMSHAPE™ Chrono). A total of 91 overweight/obese non-shift workers participated in the 12-week weight reduction program (Age: 39.6 ± 6.3 years; 74.7% women; BMI: 31.2 ± 4.5 kg/m2). Low attrition rate was recorded, with 85 participants (93.4%) completing the pre- and post-intervention assessments. Overall, morning and evening chronotypes had increased their % energy intake in the early eating window (MT: 64.8 vs. 67.2%, ET: 62.7 vs. 65.6%, Mean difference (MD): 2.8, 95%CI: 0.3, 5.1, p = 0.028) and reduced their intake in the late eating window (MT: 35.2 vs. 32.8%, ET: 37.3 vs. 34.4%, MD: −2.8, 95%CI: −5.1, −0.3, p = 0.028) and earlier midpoint of eating (MT: 14:02 vs. 13:49; ET: 14:27 vs. 14:18, 95%CI: −0.4, −0.02, p = 0.029) and had a reduced night eating syndrome score (MT: 10.0 vs. 8.9; ET: 10.7 vs. 8.9, MD: −1.5, 95%CI: −2.5, −0.5, p = 0.004). There was no significant change in the first (MT: 08:12 vs. 08:04, ET: 08:24 vs. 08:22, MD: −0.1, 95%CI: −0.2, 0.03, p = 0.170) and last mealtime (MT: 19:52 vs. 19:33, ET: 20:29 vs. 20:14, MD: −0.3, 95%CI: −0.6, −0.04, p = 0.081), eating duration (MT: 11.7 vs. 11.5 h, ET: 12.1 vs. 11.9 h, MD: −0.2, 95%CI: −0.6, 0.2, p = 0.251) and the elapse time between sleep onset and last meal (MT: 3.1 vs. 3.5 h, ET: 3.5 vs. 3.2 h, MD: 0.1, 95%CI: −0.3, 0.4, p = 0.678). In terms of sleep, evening chronotypes increased their sleep duration (MD: 0.8 h, 95% CI: 0.4, 1.2, p < 0.001) and reduced social jetlag (MD: 19 min, 95% CI: 1.7, 36.3, p = 0.031) post-intervention compared to morning chronotypes. The integrated chrono-nutrition weight reduction program among morning and evening chronotypes improved the temporal pattern of energy intake, meal timing, night eating syndrome and sleep habits post-intervention. The chrono-nutrition practice could be a potentially modifiable behavior as an adjunct strategy in weight management.
AHP for evaluating the traffic safety of a highway

Because a traffic system is very complex,it's quite difficalt to evaluate the traffic safety of a highway.In this paper,an attribute value with a fuzzy interval number was given in order to investigate the effects of "human being","automobile"and"road"on the traffic security of a high way,an evaluation system is set up,and a judging matrix is formed by AHP.A new method for evaluating the traffic satety of a highway is put forward using a judgment model based on a fuzzy model with a fuzzy interval number.
Sensitivity Enhancement of SAW Pressure Sensor Based on the Crystalline Direction

This work presents the sensitivity enhancement of AlN based surface acoustic wave (SAW) pressure sensor fabricated on the Si (100) wafer. Based on the theoretical analysis, a novel concept is proposed to improve pressure sensitivity with crystalline direction. The effect of wave propagation along < 100> and < 110> crystalline direction on pressure sensitivity of the SAW sensor has been studied by the finite element method. The simulation results indicate that the Si (100) based SAW sensor oriented in < 110> direction shown to possess high sensitivity compared to < 100> direction. The increase in sensitivity along the < 110> direction is due to a larger <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> (velocity sensitivity to strain coefficient) value that results in increased velocity and large frequency shift. Two SAW pressure sensors, PS<inline-formula> <tex-math notation="LaTeX">$_{< 100>}$ </tex-math></inline-formula> and PS<inline-formula> <tex-math notation="LaTeX">$_{< 110>}$ </tex-math></inline-formula> with wave propagation along < 100> and < 110> directions, respectively, have been fabricated on Si (100) wafer to verify the sensitivity enhancement concept. Both sensors have been tested for the pressure range from 0–2 MPa. The measured sensitivity for the PS<inline-formula> <tex-math notation="LaTeX">$_{< 100>}$ </tex-math></inline-formula> and PS<inline-formula> <tex-math notation="LaTeX">$_{< 110>}$ </tex-math></inline-formula> are obtained as 112.68 ppm/MPa and 203.83 ppm/MPa, respectively, Which is significantly improved by 80%. Additionally, the repeatability and linearity of PS<inline-formula> <tex-math notation="LaTeX">$_{< 110>}$ </tex-math></inline-formula> have been measured and the deviation of the measured pressure sensitivity curve from the best linear fit is very small. The obtained results show that the developed sensor design has sufficiently high sensitivity with linear response and can be used for high pressure sensing applications.
Tracking Sleep, Temperature, Heart Rate, and Daily Symptoms Across the Menstrual Cycle with the Oura Ring in Healthy Women

Background and Objective The ovulatory menstrual cycle is characterized by hormonal fluctuations that influence physiological systems and functioning. Multi-sensor wearable devices can be sensitive tools capturing cycle-related physiological features pertinent to women’s health research. This study used the Oura ring to track changes in sleep and related physiological features, and also tracked self-reported daily functioning and symptoms across the regular, healthy menstrual cycle. Methods Twenty-six healthy women (age, mean (SD): 24.4 (1.1 years)) with regular, ovulatory cycles (length, mean (SD): 28.57 (3.8 days)) were monitored across a complete menstrual cycle. Four menstrual cycle phases, reflecting different hormone milieus, were selected for analysis: menses, ovulation, mid-luteal, and late-luteal. Objective measures of sleep, sleep distal skin temperature, heart rate (HR) and vagal-mediated heart rate variability (HRV, rMSSD), derived from the Oura ring, and subjective daily diary measures (eg sleep quality, readiness) were compared across phases. Results Wearable-based measures of sleep continuity and sleep stages did not vary across the menstrual cycle. Women reported no menstrual cycle-related changes in perceived sleep quality or readiness and only marginally poorer mood in the midluteal phase. However, they reported moderately more physical symptoms during menses (p < 0.001). Distal skin temperature and HR, measured during sleep, showed a biphasic pattern across the menstrual cycle, with increased HR (p < 0.03) and body temperature (p < 0.001) in the mid- and late-luteal phases relative to menses and ovulation. Correspondingly, rMSSD HRV tended to be lower in the luteal phase. Further, distal skin temperature was lower during ovulation relative to menses (p = 0.05). Conclusion The menstrual cycle was not accompanied by significant fluctuations in objective and perceived measures of sleep or in mood, in healthy women with regular, ovulatory menstrual cycles. However, other physiological changes in skin temperature and HR were evident and may be longitudinally tracked with the Oura ring in women over multiple cycles in a natural setting.
Combining Shift to Biogas Production in a Large WWTP in China with Optimisation of Nitrogen Removal

Despite the huge current challenges in sewage sludge treatment and disposal in China, anaerobic sludge stabilisation (AnSS) is still not a state-of-the-art process in WWTP in the country. However, the potential benefits of anaerobic sludge stabilisation may outweigh the drawbacks. One of these drawbacks is the backload from the sludge liquor that increases the nutrient load in the biological treatment stage. This work shows via computer modelling that not only can the sludge production and disposal costs be significantly reduced, but also that, with sensible automation and operational strategies (e.g., bypass of primary clarifiers, use of a centrate dosing strategy, incorporation of ammonium nitrogen sensors, etc.), the effects of the backload can be counteracted for nitrogen removal, even considering that wastewater in China often has an unfavourable C/N ratio for nitrogen removal. The tested strategies would even improve the overall plant performance in terms of norm compliance, sludge production, energy use, and energy production
Forward privacy multikeyword ranked search over encrypted database

Dynamic searchable encryption (SE) aims at achieving varied search function over encrypted database in dynamic setting, which is a trade‐off in efficiency, security, and functionality. Recent work proposes a file‐injection attack which can successfully attack by utilizing some information leaked in the update process. To mitigate this attack, some SE schemes with forward privacy are proposed. However, these schemes are designed to achieve single keyword or conjunctive keyword search, which cannot support multikeyword search. Moreover, these schemes do not consider the function of results ranking. In this paper, we propose a forward privacy multikeyword ranked search scheme over encrypted database. We design a forward privacy multikeyword search scheme based on the classic MRSE scheme. Our scheme makes the cloud cannot obtain the actual match results of the past query with the newly updated files by adding the well‐chosen dummy elements to the original index and query vectors. We rank the search results based on the matched keyword number and the T F × I D F $TF\times IDF$ rule in the dynamic setting. Our scheme uses only the symmetric encryption primitive. We implement our scheme for COVID‐19 data set and the experimental evaluation results show that the proposed scheme is secure and efficient.