Miracle-dz/UniFAR-FTUs huggingface dataset:
Technology-Enhanced Learning Physical Education? A Critical Review of the Literature

Purpose: In this review, the three components of pedagogy (i.e., teaching, learning, curriculum) were used to critically investigate what is argued to be “enhanced” by digital technology. Method: Using a critical methodology, an answer was sought to the question, “What aspect(s) of pedagogy is claimed to be enhanced by the use of digital technology in PE? ” The final set of papers are presented in terms of the claimed technological enhancement in teaching, learning, and curriculum. Findings: Interestingly, technology enhancements are presented most prevalently in terms of “enhancing student learning” in areas such as health or motivational variables. Technology was mainly used as a substitute for the teacher and not transformative of teaching and learning. Discussion/Conclusion: A critical analysis regarding what is done in the “name of PE. ” This paper concludes by presenting suggestions on how to move the field forward and to debate the roles of digital technology in PE.
AGEING AND POTENTIAL ANTI-AGING PHYTOCHEMICALS: AN OVERVIEW

This is the era, which aggressively corroding the life style, mental ability, discretion, semblance of humans. Today every human being wants to post-pone his/her ageing and different theories have been given time to time for aging. Regarding this many products are present in market, synthetic as well as natural molecule. Now days it is recommended to highly involved in anti-aging properties of Pharmacophore/phytochemicals of natural origin. This is because these phytochemicals have less side effects comparison with synthetic one and more easily trustable to human beings. The researchers are efficiently involved in assaying anti-aging procedures with different animals using different photochemical as well as their extracts and also study done at molecular level. Most of the study concluded that the Pharmacophore which contain large numbers of –OH group (Polyphenols) have greater property of anti-aging than having less numbers of –OH groups.
Human Primary Olfactory Amygdala Subregions Form Distinct Functional Networks, Suggesting Distinct Olfactory Functions

Three subregions of the amygdala receive monosynaptic projections from the olfactory bulb, making them part of the primary olfactory cortex. These primary olfactory areas are located at the anterior-medial aspect of the amygdala and include the medial amygdala (MeA), cortical amygdala (CoA), and the periamygdaloid complex (PAC). The vast majority of research on the amygdala has focused on the larger basolateral and basomedial subregions, which are known to be involved in implicit learning, threat responses, and emotion. Fewer studies have focused on the MeA, CoA, and PAC, with most conducted in rodents. Therefore, our understanding of the functions of these amygdala subregions is limited, particularly in humans. Here, we first conducted a review of existing literature on the MeA, CoA, and PAC. We then used resting-state fMRI and unbiased k-means clustering techniques to show that the anatomical boundaries of human MeA, CoA, and PAC accurately parcellate based on their whole-brain resting connectivity patterns alone, suggesting that their functional networks are distinct, relative both to each other and to the amygdala subregions that do not receive input from the olfactory bulb. Finally, considering that distinct functional networks are suggestive of distinct functions, we examined the whole-brain resting network of each subregion and speculated on potential roles that each region may play in olfactory processing. Based on these analyses, we speculate that the MeA could potentially be involved in the generation of rapid motor responses to olfactory stimuli (including fight/flight), particularly in approach/avoid contexts. The CoA could potentially be involved in olfactory-related reward processing, including learning and memory of approach/avoid responses. The PAC could potentially be involved in the multisensory integration of olfactory information with other sensory systems. These speculations can be used to form the basis of future studies aimed at clarifying the olfactory functions of these under-studied primary olfactory areas.
Implications of the Revised Common Rule for Qualitative Health Research: Opportunities, Concerns, and Recommendations

In January 2019, revisions to federal regulations that outline requirements for ethical oversight of human subjects research (The Revised Common Rule) went into effect. These revisions reflect major changes in thinking about risk and protection of research subjects. The Revised Common Rule (RCR) considerably curtails federal oversight of social and behavioral science, with most non-interventional research and “benign” behavioral interventions becoming exempt from mandated Institutional Review Board (IRB) approval, although determination of exemption remains with IRBs. As two qualitative health researchers serving on IRBs, we consider how this contraction of federal oversight dovetails with longstanding criticisms of IRB oversight of qualitative research. We explore the passage of the RCR as a point of potentially important change in procedure and principle in relation to ethical oversight of qualitative health research. We identify challenges and opportunities with these changes at the institutional, professional, and individual levels for ethical and impactful qualitative research.
Impact of channel structure on a manufacturer's bundling decision with an application to digital goods

This paper studies the impact of channel structure on an upstream manufacturer's bundling incentive, with a focus on the implications of channel structure for bundling digital goods. We consider a distribution channel with a manufacturer and a retailer. The manufacturer produces two products and sells them either separately or in the form of bundles to end consumers through a downstream retailer. Our analysis reveals that a manufacturer may have a stronger incentive to bundle when selling through a downstream retailer than when selling directly to consumers. Bundling serves as a tool for the manufacturer to reduce the harm associated with the well‐documented double marginalization problem. Therefore, our paper provides a new rationale to the bundling literature, which has traditionally focused on the role of bundling in helping a firm price‐discriminate consumers or gain competitive advantages against peer firms. Further, contrary to the conventional wisdom that asymmetries in bundled products hurt a firm's bundling incentive, we show that asymmetries can strengthen the manufacturer's incentive to bundle in a distribution channel. We also find that, as the marginal production costs decrease, a decentralized channel structure is more likely to lead to manufacturer bundling than a centralized one. Our results help explain the prevalence of bundling, especially digital products, in practice.
Emotional Intelligence Measures: A Systematic Review

Emotional intelligence (EI) refers to the ability to perceive, express, understand, and manage emotions. Current research indicates that it may protect against the emotional burden experienced in certain professions. This article aims to provide an updated systematic review of existing instruments to assess EI in professionals, focusing on the description of their characteristics as well as their psychometric properties (reliability and validity). A literature search was conducted in Web of Science (WoS). A total of 2761 items met the eligibility criteria, from which a total of 40 different instruments were extracted and analysed. Most were based on three main models (i.e., skill-based, trait-based, and mixed), which differ in the way they conceptualize and measure EI. All have been shown to have advantages and disadvantages inherent to the type of tool. The instruments reported in the largest number of studies are Emotional Quotient Inventory (EQ-i), Schutte Self Report-Inventory (SSRI), Mayer-Salovey-Caruso Emotional Intelligence Test 2.0 (MSCEIT 2.0), Trait Meta-Mood Scale (TMMS), Wong and Law’s Emotional Intelligence Scale (WLEIS), and Trait Emotional Intelligence Questionnaire (TEIQue). The main measure of the estimated reliability has been internal consistency, and the construction of EI measures was predominantly based on linear modelling or classical test theory. The study has limitations: we only searched a single database, the impossibility of estimating inter-rater reliability, and non-compliance with some items required by PRISMA.
Novel Strategy of Proxalutamide for the Treatment of Prostate Cancer through Coordinated Blockade of Lipogenesis and Androgen Receptor Axis

Objective: Prostate cancer (PCa) is the most common malignant tumor diagnosed in men in developed countries. In developing countries, the PCa morbidity and mortality rates are also increasing rapidly. Since androgen receptor (AR) is a key driver and plays a critical role in the regulation of PCa development, AR-targeted agents provide a key component of current therapy regimens. However, even new-generation AR antagonists are prone to drug resistance, and there is currently no effective strategy for overcoming advanced PCa aggressiveness, including drug-resistance progression. The aim of this study was to evaluate the potential efficacy and novel therapy strategy of proxalutamide (a newly developed AR antagonist) in PCa. Methods: Four PCa cell lines with various biological heterogeneities were utilized in this study, namely, androgen-sensitive/-insensitive with/without AR expression. Proliferation, migration and apoptosis assays in PCa cells were used to evaluate the effective therapeutic activity of proxalutamide. The changes in lipid droplet accumulation and lipidomic profiles were analyzed to determine the influence of proxalutamide on lipogenesis in PCa cells. The molecular basis of the effects of proxalutamide on lipogenesis and the AR axis was then further investigated. Results: Proxalutamide significantly inhibited the proliferation and migration of PCa cells, and its inhibitory effect was superior to that of enzalutamide (Enz, second-generation AR antagonist). Proxalutamide induced the caspase-dependent apoptosis of PCa cells. Proxalutamide significantly diminished the level of lipid droplets in PCa cells, changed the lipid profile of PCa cells and reduced the content of most lipids (especially triglycerides) in PCa cells. Proxalutamide attenuated de novo lipogenesis by inhibiting the expression of ATP citrate lyase (ACL), acetyl CoA carboxylase (ACC), fatty acid synthase (FASN) and sterol regulatory element-binding protein-1 (SREBP-1). Moreover, proxalutamide also decreased AR expression in PCa cells, and its inhibitory effect on lipogenesis did not depend on its ability to down-regulate AR expression. However, Enz had no effect on AR expression, lipid accumulation or lipid de novo synthesis in PCa cells. Conclusions: By co-targeting the AR axis and endogenous adipogenesis, a novel and promising strategy was established for proxalutamide to combat the progress of PCa. The unique effect of proxalutamide on the metabolic reprogramming of PCa provides a potential solution to overcome the resistance of current AR-targeted therapy, which will help to effectively prolong its clinical service life.
Field Procedures for Testing Terrestrial Laser Scanners (TLS) A Contribution to a Future ISO Standard

SUMMARY ISO 17123 describes Field Test Procedures for different Geodetical Sensor Systems (e.g. Levels, Total Stations or GNSS-Systems). However, a standard for Terrestrial Laser Scanners (TLS) does not yet exist. Following the ISO 17123 philosophy, suggestions for simplified and full test procedures for TLS are given and proven through test measurements. The major aim of this contribution is to accelerate the discussion on TLS Field Test Procedures and the design process for a future ISO 17123 Part 9. ZUSAMMENFASSUNG Die ISO-Norm 17123 beschreibt Feldprufverfahren fur verschiedene geodatische Sensorsysteme (z.B. Nivelliere, Tachymeter, GNSS-Systeme). Fur Terrestrische Laserscanner (TLS)gibt es bis jetzt keine standardisieren Prufverfahren. Basierend auf der Grundphilosophie der ISO 17123 werden Vorschlage fur einfache und umfassende Feldprufverfahren gemacht. Die praktische Anwendbarkeit wird durch entsprechende Testmessungen nachgewiesen. Hauptziel dieses Beitrags ist es, die Diskussion uber Feldtestverfahren fur TLS sowie die Erstellung einer kunftigen Teilnorm 9 der ISO 17123 zu beschleunigen.
Field Performance of Instrumented Concrete Pipe Under Deep Burial

Two 1.524-m-diameter, reinforced concrete pipes were instrumented to compare field results with design calculations. A computer program, Standard Installation Direct Design, developed by the American Concrete Pipe Association was used to design the pipe. Instrumented pipes were completely monitored until 11.9 m of cover had been placed. Measurements of soil contact pressures and vertical and horizontal deflections continued for 6 months. The computer-simulated and observed responses of the buried concrete pipe installations were compared. Pipe contact pressures measured at the invert were much smaller than those assumed from calculations of thrust and moment. Design moments were conservative compared with the experimentally measured values. Thrusts are difficult to calculate accurately and show large experimental variations.
Intelligent Transportation Scheduling System Based on Fuzzy Control

In this paper, intelligent control system in the intersection was designed by use of the control principles of green light length. The green light time from four groups were controlled by actual traffic flow, which could be detected by use of inductive sensors to auto-adjust the length of time. Secondly, combined with the traffic scale, road, time and seasonal changes situation, turn-left controller was tried to add in the traffic lights system by use of fuzzy control method at the crossroads. The feasibility of control principles from green light length were verified by debug in the PLC program.
Spatiotemporal analysis of forest cover change and associated environmental challenges: a case study in the Central Highlands of Vietnam

Abstract Spatiotemporal regression combining Theil-Sen median trend and Man-Kendall tests was applied to MODIS time-series data to quantify the trend and rate of change to forest cover in the Central Highlands, Vietnam from 2001 to 2019. Several MODIS data products, including Percent Tree Cover (PTC), Evapotranspiration (ET), Land Surface Temperature (LST), and Gross Primary Productivity (GPP) were selected as indicators for forest cover and climate and carbon cycle patterns. Emerging hot spot analysis was applied to identify patterns of long-term deforestation. Spatial regression analysis using Geographically Weighted Regression (GWR) was performed to understand variations in the relationship between vegetation changes and trends in LST, ET, and GPP. Our analysis reveals that deforestation occurred significantly in the study area with a total decrease of 14.5% in PTC and a total of 7314 deforestation hot spots were identified. Results indicate that forest cover loss explains 72.9%, 67.7%, and 89.4% of the changes in ET, GPP, and LST, respectively, and the levels of influence are heterogenous across space and dependent on the types of deforestation hot spots. The approach introduced in our study can be performed worldwide to address complex research questions about environmental challenges that emerge from deforestation.
A Highly Linear GaN MMIC Doherty Power Amplifier Based on Phase Mismatch Induced AM–PM Compensation

This article presents a highly linear Doherty power amplifier (DPA) based on phase mismatch. When output phase mismatch (OPM) is introduced, i.e., the phase shift of the output impedance transformer deviates from 90°, the power-combining network (PCN) will exhibit a certain amplitude-to-phase (AM–PM) characteristic. When input phase mismatch (IPM) is introduced, i.e., the main and auxiliary branches are not phase-aligned, the AM–PM of the PCN can be further finely tuned. By choosing proper OPM and IPM, the AM–PM of the overall DPA can be compensated by that of the PCN while maintaining reasonable back-off and saturated performances. Moreover, the PCN with phase mismatch shows gain expansion, and thus the amplitude-to-amplitude (AM–AM) distortion of the DPA can also be improved to some extent. A fully integrated DPA is implemented in a $0.25~\mu \text{m}$ gallium nitride (GaN)-HEMT process to validate the proposed method. The fabricated DPA realizes an AM–PM of 2° and an AM–AM of 0.3 dB at 6.3 GHz, with a saturated power of 41.1 dBm and a 6 dB back-off drain efficiency (DE) of 45%. Applying a 200 MHz signal with a 7.8 dB peak-to-average power ratio (PAPR), a raw adjacent channel power ratio (ACPR) of −42 dBc and an average DE of 37.4% are measured at the output power of 33.1 dBm. When the carrier frequency is swept from 6.1 to 6.5 GHz, a raw ACPR below −39 dBc and an average DE better than 37% are maintained.
Thick Film Resistors with High TCR

New resistor compositions prepared by using special kinds of glass, CdO and ruthenium compound have been developed. The properties of resistors prepared from various compositions were tested in relation to peak firing temperature varying in the range from 760°C up to 850°C. In this way conditions were found for resistor preparation with constant, positive and relatively high TCR (2,500 ppm/°C) and high long‐term stability at 95% relative humidity at 40°C, and with various sheet resistivity (500 ohms/sq.? 3,000 ohms/sq.). This system is typical in containing only small amounts of ruthenium compound ranging from 6 wt % to 12 wt %. The resistors can be used for temperature measurement as temperature sensors.
Optimal estimation and sensor selection for autonomous landing of a helicopter on a ship deck

This thesis presents a complete state estimation framework for landing an unmanned helicopter on a ship deck. In order to design and simulate an optimal state estimator, realistic sensor models are required. Selected inertial, absolute and relative sensors are modeled based on extensive data analysis. The short-listed relative sensors include monocular vision, stereo vision and laser-based sensors. A state estimation framework is developed to fuse available helicopter estimates, ship estimates and relative measurements. The estimation structure is shown to be both optimal, as it minimises variance on the estimates, and flexible, as it allows for varying degrees of ship deck instrumentation. Deck instrumentation permitted ranges from a fully instrumented deck, equipped with an inertial measurement unit and differential GPS, to a completely uninstrumented ship deck. Optimal estimates of all helicopter, relative and ship states necessary for the autonomous landing on the ship deck are provided by the estimator. Active gyro bias estimation is incorporated into the helicopter’s attitude estimator. In addition, the process and measurement noise covariance matrices are derived from sensor noise analysis, rather than conventional tuning methods. A full performance analysis of the estimator is then conducted. The optimal relative sensor combination is determined through Monte Carlo simulation. Results show that the choice of sensors is primarily dependent on the desired hover height during the ship motion prediction stage. For a low hover height, monocular vision is sufficient. For greater altitudes, a combination of monocular vision and a scanning laser beam greatly improves relative and ship state estimation. A communication link between helicopter and ship is not required for landing, but is advised for added accuracy. The estimator is implemented on a microprocessor running real-time Linux. The successful performance of the system is demonstrated through hardware-in-the-loop and actual flight testing. Stellenbosch University http://scholar.sun.ac.za
Designing Microstructural Architectures With Thermally Actuated Properties Using Freedom, Actuation, and Constraint Topologies

In this paper, we demonstrate how the principles of the freedom, actuation, and constraint topologies (FACT) approach may be applied to the synthesis, analysis, and optimization of microstructural architectures that possess extreme or unusual thermal expansion properties (e.g., zero or large negative-thermal expansion coefficients). FACT provides designers with a comprehensive library of geometric shapes, which may be used to visualize the regions wherein various microstructural elements can be placed for achieving desired bulk material properties. In this way, designers can rapidly consider and compare a multiplicity of microstructural concepts that satisfy the desired design requirements before selecting the final concept. A complementary analytical tool is also provided to help designers rapidly calculate and optimize the desired thermal properties of the microstructural concepts that are generated using FACT. As a case study, this tool is used to calculate the negative-thermal expansion coefficient of a microstructural architecture synthesized using FACT. The result of this calculation is verified using a finite element analysis (FEA) package called ale3d.
Permanent-magnet synchronous motors: a comprehensive approach to cogging torque suppression

Torque ripple minimization in permanent-magnet synchronous motors is traditionally achieved either by special motor design or by an adequate control of the driver. Due to motor-driver interactions, the choice of driver or motor design must consider the respective performance of each. The approach presented provides appropriate current shapes for driving a given motor without torque ripple and/or appropriate back-EMF shapes for a given current or voltage supply. Reluctance torque, due to the interaction between the rotor magnets and the stator slots, is also taken into consideration. >
Thermomechanical analysis of gold-based SiC die-attach assembly

The thermomechanical stresses due to mismatch of the coefficients of thermal expansion (CTE) of the base material (SiC) and the packaging has a significant impact on the stresses in MEMS pressure sensors used in high-temperature applications, to 600/spl deg/C. The pressure sensor studied essentially consists of a SiC die attached to an AlN substrate using a gold die attach. Characterization of the stress distribution within the die attach, die and substrate along with the fatigue resistance of the die attach at 600/spl deg/C is essential to estimating the reliability of the packaging structure. A parametric study has been performed using nonlinear finite element analysis to optimize the die-attach thermomechanical performance at high temperatures. This study includes the effects of varying porosity levels and varying reference temperatures (stress-free temperature). This study also provides information about the mechanical deformations of the pressure sensor due to the thermomechanical load, which must be compensated, for the effective performance of the pressure sensor. The outcome of the study provides guidelines to optimize the design of the pressure sensor.