Miracle-dz/UniFAR-FTUs huggingface dataset:
A review on learning analytics in mobile learning and assessment

Employers are facing difficulties in selecting the most suitable candidates for employment and the transition from education to work is challenging for young graduates. Therefore, it is important to have indicators that could show the suitability of a potential candidate for his/her chosen job. A person who possesses knowledge but lacks confidence may struggle to perform assigned tasks, while an overly confident person with limited knowledge is likely to make errors in their job. Although there is existing research on learning analytics related to assessments, the research on learning analytics specifically focused on the confidence-knowledge relationship based on assessment data is still lacking. This article aims to examine the application of analytics in providing insights based on assessment data that can be utilized by potential employers. To achieve this, a systematic review was carried out, analyzing a total of 141 articles. The findings contribute to a better understanding of the use of assessment analytics in identifying the knowledge-confidence quadrants of students.
Technique for solving for microseismic source location parameters
based on adaptive particle swarm optimization

Abstract. An intelligent method is presented for locating microseismic source based on particle swarm optimization (PSO) concept. It eliminates microseismic source locating errors caused by inaccurate velocity model of the earth medium. The method uses as the target of PSO a global minimum of the sum of squared discrepancies between modeled arrival times and measured arrival times. The discrepancies are calculated for all pairs of detectors of a seismic monitoring system, Then, the adaptive PSO algorithm is applied to locate the microseismic source and obtain optimal value of the P-wave velocity. The PSO algorithm adjusts inertia weight, accelerating constants, the maximum flight velocity of particles, and other parameters to avoid the PSO algorithm trapping by local optima during the solution process. The origin time of the microseismic event is estimated by minimizing the sum of squared discrepancies between the modeled arrival times and the measured arrival times. This Sum is calculated using the obtained estimates of the microseismic source coordinates and P-wave velocity. The effectiveness of the PSO algorithm was verified through inversion of a theoretical model and two analyses of actual data from mine blasts in different locations. Compared with the classic least squares method, the PSO algorithm displays faster convergence and higher accuracy of microseismic source positioning. Moreover, there is no need to measure the microseismic wave velocity in advance: the PSO algorithm eliminates the adverse effects caused by error in the P-wave velocity when locating a microseismic source using traditional methods.
Nature and plate-tectonic significance of orogenic magmatism in the European Alps: a review

The objective of this paper is to provide a brief overview of Alpine orogenic intrusive and eruptive episodes, and to discuss their nature in relation to the plate-tectonic evolution of the European Alps. The occurrences of subduction related magmatism that remain preserved in the geological record range in age from the Late Maastrichtian to Early Miocene and are confined to three grossly concentric zones in the Western and Southern Alps. These are, structurally in successive order of occurrence: 1) an external graywacke belt containing volcaniclastic intercalations of andesitic composition in the Gurnigel-Schlieren-Wagital Flysch and Taveyanne Formation; 2) an internal array of granitic intrusive bodies and basaltic-rhyolitic, mostly andesitic dike swarms that discordantly penetrate the Alpine edifice along the Periadriatic fault system; and 3) basic, ultrabasic, and acidic lavas erupted in the Venetian volcanic province, possibly within the confines of a backarc basin. Whereas the two outer belts are predominantly calc-alkaline in composition and related to crustal compression, the innermost occurrence is mainly alkaline and appears to be related to penecontemporaneous crustal attenuation behind the exposed root of the volcano-plutonic arc and its derivative graywackes. From the pattern of intrusive and eruptive cycles, it is assumed that the entire range of orogenic magmatic activity was generated by NW-directed convergence along the northwestern edge of the Adriatic plate since at least the Maastrichtian.
Sibling Birth Order Among Undergraduate University Students and Its Influence on Personality Traits: Some Implications for Education

This cross-sectional survey explores the influence of sibling birth order on university students’ personality traits. The sample consisted of 184, predominantly Chinese, Malaysian undergraduates of a private university in Malaysia. The Big-Five personality questionnaire (John & Benet-Martinez, 1998) was used for data collection, while Confirmatory Factor Analysis (CFA) and path analysis from SEM were used to analyse the data. The CFA results show a significant interrelationship between the traits of extroversion and agreeableness but no significant direct effect of birth order on personality traits. The results are consistent with the previous studies in Malaysia and around the globe and suggest the likelihood of other factors (e.g., social culture and environment) possibly influencing student personality. Subsequent research that employs various Malaysian samples is needed to further test the applicability of Sulloway’s theory in explaining the influence or effect of sibling birth order in Malaysia.
Longitudinal associations between preschool children’s theory of mind, emotion understanding, and positive peer relationships

The positive links between children’s theory of mind (ToM), emotion understanding, and positive peer relationships are well established. However, the existing literature lacks comprehensive studies investigating the longitudinal interplay between these components in preschool-aged children. This study aimed to fill this gap by examining the concurrent and longitudinal associations between young children’s social cognition and their positive peer relationships at three different time points over the course of 7 months. A sample of 211 preschool children (age in months: MT1 = 43.2, SDT1 = 6.6) underwent standardized assessments evaluating their ToM and emotion understanding, while playgroup educators reported on children’s positive peer relationships. Using multivariate latent growth modeling, we expected to find that higher levels of ToM and emotion understanding would be associated with a greater rate of change in positive peer relationships and that higher levels of positive peer relationships would be associated with a higher rate of change in ToM and emotion understanding. Contrary to our expectations, the results did not support the anticipated longitudinal associations. Nevertheless, a noteworthy correlation emerged between children’s emotion understanding and positive peer relationships at T1, in line with previous research and social-constructivist theories.
The abundance and diversity of Mollusks in mangrove ecosystem at coastal area of North Sulawesi, Indonesia

Abstract. Baderan DWK, Hamidun MS, Utina R, Rahim S, Dali R. 2019. The abundance and diversity of Mollusks in mangrove ecosystem at coastal area of North Sulawesi, Indonesia. Biodiversitas 20: 987-993. The study reported in this paper sought to analyze the abundance and diversity of Mollusks species in the coastal mangrove areas of Panango in North Sulawesi, Indonesia. Data collected in the study lent support to policy making in reducing the loss of marine biotic species in the coastal mangrove areas. Data collection used stratified-random sampling method (plot size was 10 m x 10 m) with three plots at each research station was used. Data analyzed by Odum formula for abundance, Shannon Wiener index for diversity and evenness index for evenness. The samples were collected from 2 research station covering 15 sampling sites. This research found 14 families of mollusks comprised of 11 gastropod families (21 species) and bivalve families (3 types). The highest of the relative density was found in Terebralia sp (24,24%), and the lowest relative density was obtained (1,52%) in the following species: Spondylus violaceus, Conus sp. , Semiricinula turbinoides, and Faunus ater. The diversity index of mollusks species (Gastropoda and Bivalvia) at the observation station was classified as a high category, indicating by H’ >3,32 (Station I H’= 2,19 and Station II H’= 2,12). The evenness value in range 0,4<e<0,6. This indicates that the Mollusks species found in the research site had a medium amount. This study suggests a need to regulate mangrove areas of Panango for sustainable mangrove ecosystems management.
Real-Time Anomaly Detection in Metro Train APU Compressors: Insights from Operational Data

Metro train systems are vital components of modern urban transportation networks. Ensuring the reliable operation of auxiliary power units (APU) is crucial for the overall performance and safety of metro trains. Anomaly detection in APU compressors can help prevent failures and minimize downtime, enhancing the efficiency and reliability of metro services. Conventional methods of anomaly detection in industrial settings often rely on rule-based systems or threshold-based alarms. While these approaches may be effective to some extent, they may not capture subtle anomalies or adapt well to evolving operating conditions. The primary challenge is to develop a system capable of continuously monitoring APU compressors and detecting anomalies in their operation. This involves analyzing operational data in real-time to identify deviations from normal behavior that may indicate impending failures or performance issues. Therefore, the Metro systems are relied upon by millions of commuters daily for efficient and timely transportation. APU compressors play a critical role in maintaining optimal conditions within train compartments. Detecting anomalies in real-time can prevent potential malfunctions or breakdowns, ensuring passenger safety and minimizing disruptions to metro services.The project, "Real-Time Anomaly Detection in Metro Train APU Compressors: Insights from Operational Data," aims to revolutionize maintenance practices in metro systems by leveraging advanced data analytics and machine learning techniques. By collecting and analyzing real-time operational data from APU compressors, this research endeavors to develop a system capable of autonomously and accurately detecting anomalies. The integration of machine learning algorithms allows for the identification of complex patterns indicative of potential issues, enabling timely interventions to prevent failures and ensure the uninterrupted operation of metro train systems. This advancement holds great promise for enhancing the safety, efficiency, and reliability of urban transportation networks.
The Role of Rv1476 in Regulating Stress Response and Intracellular Survival of Mycobacterium tuberculosis

The virulence of Mycobacterium tuberculosis (M. tuberculosis) is related to many factors, including intracellular survival, cell wall permeability, and cell envelope proteins. However, the biological function of the M. tuberculosis membrane protein Rv1476 remains unclear. To investigate the potential role played by Rv1476, we constructed an Rv1476 overexpression strain and found that overexpression of Rv1476 enhanced the intracellular survival of M. tuberculosis, while having no impact on the growth rate in vitro. Stress experiments demonstrated that the Rv1476 overexpression strain displayed increased susceptibility to different stresses compared to the wild-type strain. Transcriptome analysis showed that Rv1476 overexpression causes changes in the transcriptome of THP-1 cells, and differential genes are mainly enriched in cell proliferation, fatty acid degradation, cytokine–cytokine receptor interaction, and immune response pathways. Rv1476 overexpression inhibited the expression of some anti-tuberculosis-related genes, such as CCL1, IL15, IL16, ISG15, GBP5, IL23, ATG2A, IFNβ, and CSF3. Altogether, we conclude that Rv1476 may play a critical role for M. tuberculosis in macrophage survival.
An Optimal Delay Tolerant and Improved Data Collection Schema Using AUVs for Underwater Wireless Sensor Networks

This paper presents two Elliptical Trajectories for Efficient Data-gathering and Delay-tolerant (TETD2) routing schemes for Underwater Wireless Sensor Networks (UWSNs). The TETD2 protocol consists of two phases. The first phase involves creating an atomic-shaped trajectory for an Autonomous Underwater Vehicle. In second phase, to improve the delay tolerance of the protocol, communication between random nodes (RNs), destination nodes (DNs), autonomous underwater vehicles (AUVs) and the sink node have been proposed. The latency between RNs in the network reveals the necessary time for choosing the prospective forwarders for making association linkages. The shortest path from a multipath environment sends a packet from its origin to the destination node using the RNs-to-DNs model in the shortest time possible. To gather data as quickly as possible, the novel trajectory model maximizes the number of DNs for RNs associations. In addition, a cooperation process has been introduced to allow for data sharing from parent AUV to child and onward to the sink node. The performance of TETD2 was tested using the network simulator (NS-2) and compared to the currently used method for data-gathering, the Effective Data Gathering (AEDG) protocol. The simulation results showed that TETD2 outperformed the ASEDG in terms of throughput and end-to-end delay. The TETD2 protocol offers a promising solution for efficient data-gathering in UWSNs and has the potential to significantly improve the performance of such networks.
Design and Analysis of Ultra-low Power Voltage Controlled Oscillator in Nanoscale Technologies

In latest wired and wireless communication equipment, VCO (voltage-controlled oscillator) is the major building block and particularly used as the stable high frequency clock generator. VCO performance is measured through frequency range, power supply used, area occupied, power consumption, delay, and phase noise. VCO is the cascaded of odd number of inverter stages in a ring format, hence it is also articulated as a ring oscillator. Today’s portable communication devices are battery operated. Hence, low power and area efficient designs play a key role in battery life enhancement and device size reduction. Device scaling improves the effective silicon area utilization, but it leads to more leakages. Therefore, low power techniques along with the technology scaling is the best way of low power designs. In this article, discussed various low power schemes. The ring oscillator designs are carried out in various nano meter scaled technologies such as 180nm, 90nm,65nm and 45nm. A 5-stage ring oscillator is implemented in each technology along with low power schemes, simulated in Cadence virtuoso, and noted power, delay, and area. Observed that the proposed ring oscillator with sleepy keeper technique generated a stable frequency of oscillations in the range of 1GHz-2GHz. A control voltage of 1.8V to 0.4V is applied and targeted the power less than 30mW and delay in 0.25p sec.
Will Music Give Me Power? Effects of Listening to Music during Active and Passive Rest Intervals on Power Output during Resistance Exercise

The study aimed to evaluate the impact of listening to preferred music during active/passive rest on power output and heart rate in barbell squats (BS) and bench presses (BP). Fifteen participants (13 males and 2 females), moderately resistance trained, were engaged in four randomized experimental sessions with varying rest intervals (active/passive) and music presence (listening or not). Each session involved three sets of three repetitions of BS and BP at a 50% one-repetition maximum. ANOVA showed a significant main effect of the set for BP relative mean and peak power output (p < 0.001; both). The post hoc comparisons indicated a significantly higher BP relative mean and peak power output in set_2 (p < 0.001; effect size [ES] = 0.12 and p < 0.001; ES = 0.10) and set_3 (p < 0.001; ES = 0.11 and p = 0.001; ES = 0.16) in comparison to set_1. Moreover, a main effect of the set indicating a decrease in BS relative peak power output across sets was observed (p = 0.024) with no significant differences between sets. A significantly higher mean heart rate during active rest in comparison to passive rest was observed (p = 0.032; ES = 0.69). The results revealed no significant effect of listening to music on relative power output and heart rate during BS and BP.
Strategies for Bovine Respiratory Disease (BRD) Diagnosis and Prognosis: A Comprehensive Overview

Simple Summary Bovine Respiratory Disease (BRD) poses a significant challenge in managing cattle health. This intricate disease affects both the upper and lower respiratory tracts in cattle and is influenced by various environmental, host, and microbial factors. The lack of standardized definitions complicates diagnosis and treatment, with dairy and beef cattle being commonly affected. Environmental stressors such as overcrowding, transportation, and poor ventilation increase susceptibility, while pathogens like Mannheimia haemolytica, Pasteurella multocida, Histophilus somni, and Mycoplasma bovis contribute to its manifestation. Despite antibiotics being the conventional treatment, the rise of antimicrobial resistance is a major concern. Current diagnostic strategies rely on observing clinical signs like fever, cough, and nasal discharge, requiring skilled personnel for accurate detection. However, modern diagnostic tools, including imaging, biomarkers, and automated analysis, offer new perspectives on BRD diagnosis. This review provides a comprehensive exploration of BRD, its existing diagnostic strategies, and the potential of emerging field-based diagnostic technologies for timely and optimal care. Abstract Despite significant advances in vaccination strategies and antibiotic therapy, bovine respiratory disease (BRD) continues to be the leading disease affecting the global cattle industry. The etiology of BRD is complex, often involving multiple microbial agents, which lead to intricate interactions between the host immune system and pathogens during various beef production stages. These interactions present environmental, social, and geographical challenges. Accurate diagnosis is essential for effective disease management. Nevertheless, correct identification of BRD cases remains a daunting challenge for animal health technicians in feedlots. In response to current regulations, there is a growing interest in refining clinical diagnoses of BRD to curb the overuse of antimicrobials. This shift marks a pivotal first step toward establishing a structured diagnostic framework for this disease. This review article provides an update on recent developments and future perspectives in clinical diagnostics and prognostic techniques for BRD, assessing their benefits and limitations. The methods discussed include the evaluation of clinical signs and animal behavior, biomarker analysis, molecular diagnostics, ultrasound imaging, and prognostic modeling. While some techniques show promise as standalone diagnostics, it is likely that a multifaceted approach—leveraging a combination of these methods—will yield the most accurate diagnosis of BRD.
Maximizing Time and Expectations in the Mentor–Mentee Relationship: 10 Tips to Guide Your Journey

On the road to becoming seasoned child and adolescent psychiatrists, a good goal is to end up in the fast lane. This lane is generally furthest from the entry point and takes several lane changes before becoming a reality. The fast lane is often considered the smoothest, most effective, and the most fun! The goal is not to necessarily drive fast, but to merge into a streamlined lane you know will get you where you need to go. In this light, a mentor is your co-pilot, your wingman, your passenger. They check your blind spot, gently guide you while you pick up speed to merge, and hopefully leave you with the confidence you need to drive independently. They can tell you to turn on your signal, teach you to use your mirrors, but most importantly, they can empower you to have confidence in your direction of travel.
Use of Cactus Pear Meal in the Feeding of Laying Hens in Semi-Intensive System

Simple Summary This study explores the effectiveness of the use of cactus pear meal in the feeding of laying hens to improve production and reduce costs. The objective was to evaluate the impact of different proportions of this flour on the birds’ diet. The variety “Miúda” of cactus pear was found to be the most efficient, improving energy utilization and nutrient digestibility. Although the birds’ productive performance was not significantly affected by the use of up to 9% of flour in the diet, improvements were observed in egg quality, including in the texture and color of the yolk, as well as a healthier composition in terms of fatty acids and cholesterol. The study concludes that a 3% inclusion of cactus pear meal is the most economically suitable, offering benefits without compromising quality or performance. These findings are important for egg farmers who seek sustainable and economical alternatives, thus contributing to a more conscious society regarding food production and nutrition. Abstract Little information is available in the literature on the use of cactus pear meal (CPM) in poultry diets; therefore, it is important to evaluate diets that provide excellent performance and lower production costs. Our objective was to study the use of Miúda CPM in the diets of laying hens. In the first study, two diets for male and female chicks were used—1: 80% reference diet + 20% Miúda cactus pear meal (CPM) and 2: 80% reference diet + 20% Gigante cactus pear meal (CPM). The variety Miúda provided a better use of metabolizable energy, as well as a greater digestibility coefficient of dry matter, protein, and mineral matter. In the second study, a control diet was compared to three diets with different levels of Miúda CPM for laying hens in the proportions of 3%, 6%, and 9%. No significant differences were found in productive performance. However, there were significant differences in the some parameters egg quality, texture and color profile of the cooked yolk, egg composition, fatty acids and cholesterol in the yolk. It is possible to use 9% Miúda CPM in the diet of laying hens in a semi-intensive system that does not compromise performance and egg quality, and using 3% Miúda CPM provides a higher economic return.
From Main Street to Wall Street: Analysis of Retail Trading Power After The GameStop Squeeze

Social media can be used as a tool to help investors gather and disseminate information about the stock market. However, this tool also presents opportunities for market manipulation through mass coordination that many retail traders use to gain an advantage over more prominent market participants. Analyzing millions of mentions sent on the social media platform Reddit in r/WallStreetBets, we found that an abnormally higher number of mentions is associated with a price and volume increase of the security. Examining these dependent variables through a descriptive and correlational study through the years, along with mentions in various sized companies, we found that smaller to larger-sized companies retained and increased some retail influence through the evolution of the pump-and-dump tactics, while the general market (ETFs) had zero to no real longterm retail influence. Our findings indicate an evolution to modern-day market structure as retail traders have increased long-term power in the market, though limited in their effect on the whole market