Miracle-dz/UniFAR-FTUs huggingface dataset:
i on A comparison of personality type congruence with learning achievement of students from the primary school teacher education program at Adzkia University

Personality type can be defined as an image of oneself manifested publicly. John Lewis Holland argues that personality type influences career choices and job satisfaction. Holland's Career Theory states that the most congruent personality types for a teacher's career are social, entrepreneurial, and artistic personality. The personality types that are less suited for a teaching role include the investigative, conventional, and realistic types. This research aimed to compare the congruence or incompatibility of personality types with the learning achievement of Primary School Teacher Education students at Adzkia University. This comparative quantitative study used the personality test arranged based on the concept of Hexagonal Theory by John Holland. The research sample comprised 161 selected using a simple random sampling technique. The research results show that 60% of the students' personality is congruent with their job as a teacher, whereas the remaining 40% shows the opposite. The average academic achievement of student ’ s personality congruent with their job as a teacher is 81.6, while student personality opposite is 78.9. There is only a 2.1 point difference between the two. Furthermore, there is no difference in the learning achievement of students with the congruent personality type and those without. The hypothesis test result shows that personality type has no impact on learning achievement.
The Impact of Using WhatsApp Business (API) in Marketing for Small Business

In the evolving digital landscape and social media, leveraging communication platforms for marketing has become pivotal for small businesses. This research paper explores the impact of using the WhatsApp Business API in marketing endeavors tailored for small enterprises. The study employs a mixed-method approach, incorporating both qualitative interviews with small business owners and quantitative data analysis of marketing outcomes. Preliminary findings suggest that the WhatsApp Business API significantly enhances customer engagement, streamlines business operations, and contributes to improved sales conversion rates. The platform's direct messaging feature fosters personalized customer interactions, leading to increased trust and brand loyalty. Additionally, the paper delves into the challenges faced by small businesses in integrating this tool, including concerns related to data privacy and the potential for customer fatigue. Recommendations are provided on optimizing the use of the WhatsApp Business API, emphasizing the importance of maintaining authentic customer interactions and adhering to positive marketing practices. This study underscores the potential of WhatsApp Business API as a transformative tool for small businesses in the digital age, while also highlighting the need for strategic and responsible implementation.
Phytosociological Analysis of Woody Species in Kedarnath Wildlife Sanctuary and Its Adjoining Areas in Western Himalaya, India

Abstract The aim of the present study was to assess the variation in species composition and diversity of woody species at different altitudes (900 to 2600 m asl) in Kedarnath Wildlife Sanctuary (KWLS) and its adjoining areas in Garhwal Himalaya, India. A total of 94 woody plant species (including 44 tree and 50 shrub species) belonging to 72 genera and 44 families were reported. Density varied from 235±9 to 505±21 trees ha −1 and 4,730±474 to 9,530±700 shrubs ha −1 . Total basal cover varied from 10.49±0.66 to 42.92±2.57 m 2 ha −1 (trees) and 0.36±0.024 to 0.62±0.047 m 2 ha −1 (shrubs). Shannon-Wiener Index fluctuated between 2.30 to 3.53 (trees) and 2.74 to 3.78 (shrubs). Analysis of variance (ANOVA) indicated that altitude and aspect had significant effect on the distribution of woody species. Taxonomically, Rosaceae with 15 species emerged as the dominant family. Low value of maturity index and contiguous distribution of species denoted the early successional status of the studied forests. The conservation assessment based on altitudinal regimes and the information on species structure and function can provide baseline information for monitoring and sustaining the biodiversity.Key Words: Himalaya, Altitude, Vegetation, Diversity, Woody species
4-Phase Interleaved Charge Pump Topologies with Reversion Loss Elimination Techniques for IoT Applications

A multistage implementation of an Interleaved Charge Pump (ICP) Topology is used in this paper in a 4-phase clocking scheme to optimize the design for scalability, eliminate all reversion losses, and eliminate level shifters for PMOS charge transfer switch (CTS) control to reduce voltage overstress and breakdown concerns. In addition, to address low-input power conditions, an ICP topology for startup and bulk modulation techniques are applied to the ICP design. Furthermore, The designs are capable of supporting inputs as low as 250mV, and extended load ranges, implemented utilizing TSMC’s 65nm process technology. At a low input power roughly 140uW, measured data indicated a peak PCE of 90.9%.
Physical Education Teachers' Perceptions of Challenges Facing Distance Learning of Physical Education Curriculum: *Note: Sub-titles are not captured in Xplore and should not be used

This study sought to explore the challenges and difficulties of distance education for the physical education curriculum as perceived by physical education teachers. Data were collected using a survey questionnaire, which consisted of 23 statements for four challenges. The challenges were managerial and environmental, challenges for teachers, challenges for students, and challenges related to the teaching tools and contents. The study participants were 48 physical education teachers affiliated with private schools in Al Ain city, United Arab Emirates. The findings of the study revealed that teachers faced many difficulties of distance education for the physical education curriculum in light of the Corona pandemic. The use of distance education tools and content were at the top of these challenges, followed by the managerial and environmental challenges, while the challenge for students ranked last. In addition, the findings of the study suggested that qualification and experience do not influence the perceptions of participants toward challenges facing physical education in distance education.
An urban sprawl index based on multivariate and Bayesian factor analysis with application at the municipality level in Valencia

Urban sprawl is now a common and threatening phenomenon in Europe, severely affecting environmental and economic sustainability. An analytical characterization and measurement of urban sprawl are required to gain a better understanding of the phenomenon and to propose the possible solutions. Traditional factor analysis techniques, especially Principal Component Analysis and Factor Analysis, have been commonly used. In this paper, we additionally test Independent Component Analysis with the aim to obtain a multidimensional characterization of the sprawl phenomenon. We also use Bayesian Factor Analysis to obtain a single (unidimensional) measuring index of sprawl, which also allows us to obtain the uncertainty of the inferred index, in contrast to traditional approaches. All these techniques have been applied to study the phenomenon of urban sprawl at the municipality level in Valencia, Spain using a wide set of variables related to the characteristics and patterns of urban land use.
Simultaneous Localisation and Mapping of a Mobile Robot in a Static Environment

In the realm of robotics and AI, the Simultaneous Localization And Mapping (SLAM) problem pertains to enabling an autonomous robot to map its surroundings while maintaining awareness of its global position and movement during navigation. This project delves into SLAM within the confines of a static environment, examining four chosen algorithms: Graph-SLAM, EKF-SLAM, Fast-SLAM, and ICP-SLAM. The study involves both theoretical analysis and algorithmic comparisons, which are drawn from previous research. Practical simulations are employed to evaluate the algorithms based on speed, efficiency, and accuracy. The results obtained are then compared with literature to test their consistency. The study culminates in the development of a practical SLAM algorithm for a mobile robot, which draws inspiration from the investigated algorithms, and is rigorously tested across diverse scenarios, followed by resource analysis and different map configurations.
Instantaneous Angular Speed Estimation using Acoustic Emission in Gas Foil Bearings

The instantaneous angular speed (IAS) is a vital state variable of rotating systems, giving insight into the current function of the system and valuable information for condition monitoring algorithms. In this work, we demonstrate that it is possible to estimate the rotor’s IAS from acoustic emission signals (AE) recorded in a gas foil bearing. To do so, we record AE, acceleration, and a reference IAS simultaneously before applying two IAS estimation methods to both signals. Their results are then compared to the reference and among each other. The estimated IAS based on the AE envelope signal was slightly more accurate than the results based on the typically used acceleration signal. However, subharmonic vibrations, which often cause difficulties estimating the IAS, were also more prevalent in the AE envelope. These findings suggest that AE-based algorithms may be able to estimate the IAS from their underlying data without additional sensors in the future.
A novel GAN-Based Intra Prediction Mode for HEVC

Rapid development of AI-IoT environment has great potential for the improvement of video codec technology. The traditional intra prediction in high efficiency video coding (HEVC) generates linear predictions based on some predefined directions for the encoding. However, in the traditional intra prediction method, complex textures need to be encoded by small blocks even if a high resolution video is encoded. To solve this problem, we proposed a new intra prediction mode using the generative adversarial network (GAN). The proposed new framework consists of a traditional video encoder and an embedded generator module including a CNN function. The simulation results show that the proposed algorithm can achieve an improvement of 5.0% BD-rate comparing to the original HEVC algorithm.
Control of silicate weathering by interface-coupled dissolution-precipitation processes at the mineral-solution interface

The mechanism of surface coating formation (the so-called surface altered layers [SALs] or leached layers) during weathering of silicate minerals is controversial and hinges on understanding the saturation state of the fluid at the dissolving mineral surface. Here we present in-situ data on the evolution of the interfacial fluid composition during dissolution of wollastonite (CaSiO3), obtained using interferometry and micro pH and ion-selective electrodes. Steep concentration gradients develop at the mineral interface as soon as it makes contact with the solution. This interfacial fluid becomes supersaturated with respect to amorphous silica that forms a surface coating, limiting fluid access to the mineral surface and hence affecting the dissolution rate. The thickness of the supersaturated zone and the precipitated layer depends on the relative rates of mass transport and surface reaction in the system; this effect could contribute to the discrepancy between dissolution rates measured in the field and in the laboratory. As well, our results have implications for predictions of silicate weathering rates and hence climate evolution, as different assumptions on dissolution mechanisms affect calculations on CO2 drawdown during weathering and consequent effects on estimates of global mean temperatures.
Hybrid CNN & Random Forest Model for Effective Guava Leaf Disease Diagnosis

This paper presents a detailed evaluation of a guava leaves disease categorization model, to contribute to the precise and early identification of numerous guava plant diseases. Precision, recall, F1-score, support, or accuracy metrics are used to evaluate the model's performance across multiple illness classes. Anthracnose, Rust, Powdery Mildew, Cercospora Leaf Spot, Bacterial Wilt, Guava Witches' Broom, Guava Whitefly, and Guava Leaf Miner are among the diseases represented in the collection. Individual disease classes get notable precision levels, with Anthracnose reaching 88.05% or Rust achieving 83.14%. Similarly, memory rates demonstrate the model's capacity to recognize positive occurrences, with Anthracnose recall rates of 74.87% and Guava Whitefly recall rates of 82.05%. The F1 scores offer a balanced picture of the model's precision versus recall trade-off, particularly high values indicating accurate disease detection. The macro, weighted, and micro averages provide information about the model's performance as a whole. The macro average produces an average precision of 76.73%, recalls of 86.00%, as well as an F1-score of 75.80% when each class is treated equally. The weighted average, when class distribution is taken into consideration, yields precision, recall, and F1-scores of 85.40%, 86.00%, or 84.90%, respectively. The micro average, which reflects a balanced approach, has a 74.87% precision, recall, and F1 score. The findings show the model's ability to discriminate guava leaf illnesses, arguing for its potential utility in overall disease management. The study emphasizes the need for proper disease detection for sustainable crop production, with the model provided as a promising tool for assisting farmers and specialists in limiting potential losses resulting from guava leaf diseases.
Çataltepe (Lapseki-Çanakkale) Pb-Zn±Cu±Ag Yataği'nin Jeolojisi ve Alterasyon Özellikleri Geology and the Alteration Features of the Çataltepe (Lapseki- Çanakkale) Pb-Zn±Cu±Ag Deposit

The Cataltepe Pb-Zn±Cu±Ag deposit, to the east of Lapseki (Canakkale), in the northwestern part of Biga Pen- insula, is hosted by marbles, and at the contact between marbles and other rocks of the Camlica metamorphics (Cretaceous). In the area, still under operation, the strike and dip of the mineralization are N40W/40 o NE which is nearly parallel to schistosity of marbles and other metamorphic rocks. The microscopic investigations indicate that
Wind-Solar-BESS Dynamic Modeling Applications In Hybrid Plants: An Analysis of Electromechanical Stability Support In The Casa Nova System Case

The propagation of converter-interfaced generation (CIG) is drawing attention, due to the issues elicited by their large-scale application, and also their potential to advance more complex operational modes. In such context, a multitude of strategies for alternative sources hybridization have been explored, concerned with, for example, overall intermittency attenuation or frequency and voltage support. This work evaluates the potential of support control modes for one wind, solar, and BESS hybrid plant, through the combined application of CIG devices' dynamic modeling techniques. Regarding the modeling, DQO-based controls are derived from the Western Electricity Coordinating Council generic framework, whereas an average (RMS) current source model with implemented phase-locked loop is used for the integration with the AC network (ABC signals being recovered directly from Park-Clarke transformations). The Casa Nova wind complex, in northeastern Brazil, is taken as a reference, with an equivalent system implemented on PSCAD. Although all CIG are treated as grid-following, results indicated that the frequency and voltage support controls enabled the hybrid plan to conveniently improve transient characteristics simply through dynamic modulation of active/reactive power outputs. However, in nominal terms, the improvements were relatively small due to the comparably smaller capacity of the plant.
The Comparison of Anthropometry and Quality of Life Before and During Ramadan Fasting Among Middle-Aged Population in Kuala Nerus,

Ramadan fasting refers to 29 or 30 days of mandatory fasting practice among Muslims. Muslims abstain from various activities, including eating, drinking, sexual activity, smoking, and taking medication from sunrise to dusk. Growing evidences showed the potential effect of Ramadhan fasting as one of strategies to reduce weight. However, limited studies investigated its effects on variables such as anthropometry and quality of life among middle-aged population. The aim of this study is to compare the anthropometry and quality of life before and during Ramadan among community-dwelling middle-aged population in the age range of 35 to 65 years old in Kuala Nerus, Terengganu. This prospective observational study was carried out from March to April 2023 involving 110 participants in Kuala Nerus, Terengganu, Malaysia. Anthropometry parameters such as weight (kg), height (cm), body mass index (kg/m²), waist circumference (cm), body fat percentage (%), total muscle mass (kg), and total body water (%) were measured using a weighing scale, stadiometer, bioelectrical impedance analysis (BIA) and measuring tape respectively. Short Form 36 questionnaire (SF-36) was used to measure the level of quality of life among the participants. Findings showed the significant reductions in weight (kg) (67.1±13.0 vs 69.8±13.3, p<0.001), body mass index (kg/m2) (26.1±4.4 vs27.6±4.5, p<0.001), waist circumference (cm) (91.2±15.1 vs 94.9±15.32, p<0.001), body fat percentage (%) (28.2±8.9 vs 30.1±8.78, p<0.001), and muscle mass (kg) (45.3±9.1 vs 45.9±9.4, p=0.016) during Ramadhan as compared to before Ramadhan. There were also significant improvements in various aspects of quality of life observed during Ramadan compared to before, including physical functioning (86.1±12.3 vs 79.1±15.1, p<0.001), physical health (80.8±20.9 vs 66.6±34.1, p<0.001), emotional problems (89.0±17.3 vs 75.4±31.7, p<0.001), social functioning (84.5±13.9 vs 73.9±15.5, p<0.001), pain (83.3±14.8 vs 70.2±18.7, p<0.001), general health (84.3±13.0 vs 70.4±17.8, p<0.001) and emotional or wellbeing (79.7±8.4 vs 76.4±10.9, p=0.044). Correlational analysis found that higher total body water during Ramadan fasting was positively correlated with higher energy levels (p=0.015). This study’s limitation is that these findings confine to local population. Future studies should involve a wider population to provide better understanding on the health benefits of Ramadan fasting. In conclusion, the current study showed the significant potential of Ramadhan fasting in improving anthropometry outcomes and quality of life among middle-aged adults.
Plant Pathogen Forensics: Capabilities, Needs, and Recommendations

SUMMARY A biological attack on U.S. crops, rangelands, or forests could reduce yield and quality, erode consumer confidence, affect economic health and the environment, and possibly impact human nutrition and international relations. Preparedness for a crop bioterror event requires a strong national security plan that includes steps for microbial forensics and criminal attribution. However, U.S. crop producers, consultants, and agricultural scientists have traditionally focused primarily on strategies for prevention and management of diseases introduced naturally or unintentionally rather than on responding appropriately to an intentional pathogen introduction. We assess currently available information, technologies, and resources that were developed originally to ensure plant health but also could be utilized for postintroduction plant pathogen forensics. Recommendations for prioritization of efforts and resource expenditures needed to enhance our plant pathogen forensics capabilities are presented.
Inhibitory Regulation of Rac Activation, Membrane Ruffling, and Cell Migration by the G Protein-Coupled Sphingosine-1-Phosphate Receptor EDG5 but Not EDG1 or EDG3

ABSTRACT Sphingosine-1-phosphate (S1P) is a bioactive lysophospholipid that induces a variety of biological responses in diverse cell types. Many, if not all, of these responses are mediated by members of the EDG (endothelial differentiation gene) family G protein-coupled receptors EDG1, EDG3, and EDG5 (AGR16). Among prominent activities of S1P is the regulation of cell motility; S1P stimulates or inhibits cell motility depending on cell types. In the present study, we provide evidence for EDG subtype-specific, contrasting regulation of cell motility and cellular Rac activity. In CHO cells expressing EDG1 or EDG3 (EDG1 cells or EDG3 cells, respectively) S1P as well as insulin-like growth factor I (IGF I) induced chemotaxis and membrane ruffling in phosphoinositide (PI) 3-kinase- and Rac-dependent manners. Both S1P and IGF I induced a biphasic increase in the amount of the GTP-bound active form of Rac. In CHO cells expressing EDG5 (EDG5 cells), IGF I similarly stimulated cell migration; however, in contrast to what was found for EDG1 and EDG3 cells, S1P did not stimulate migration but totally abolished IGF I-directed chemotaxis and membrane ruffling, in a manner dependent on a concentration gradient of S1P. In EDG5 cells, S1P stimulated PI 3-kinase activity as it did in EDG1 cells but inhibited the basal Rac activity and totally abolished IGF I-induced Rac activation, which involved stimulation of Rac-GTPase-activating protein activity rather than inhibition of Rac-guanine nucleotide exchange activity. S1P induced comparable increases in the amounts of GTP-RhoA in EDG3 and EDG5 cells. Neither S1P nor IGF I increased the amount of GTP-bound Cdc42. However, expression of N17-Cdc42, but not N19-RhoA, suppressed S1P- and IGF I-directed chemotaxis, suggesting a requirement for basal Cdc42 activity for chemotaxis. Taken together, the present results demonstrate that EDG5 is the first example of a hitherto-unrecognized type of receptors that negatively regulate Rac activity, thereby inhibiting cell migration and membrane ruffling.
Generation Y Health Professional Students’ Preferred Teaching and Learning Approaches: A Systematic Review

Generation Y or Millennials are descriptors for those born between 1982 and 2000. This cohort has grown up in the digital age and is purported to have different learning preferences from previous generations. Students are important stakeholders in identifying their preferred teaching and learning approaches in health professional programs. This study aimed to identify, appraise, and synthesize the best available evidence regarding the teaching and learning preferences of Generation Y health professional students. The review considered any objectively measured or self-reported outcomes of teaching and learning reported from Generation Y health professional student perspectives. In accordance with a previously published Joanna Briggs Institute Protocol, a three-step search strategy was completed. Two research articles (nursing and dental hygiene students) and three dissertations (nursing) were critically appraised. All studies were crosssectional descriptive studies. A range of pedagogical approaches was reported, including lecture, group work, and teaching clinical skills. Based on the Joanna Briggs Institute levels of evidence, reviewers deemed the evidence as Level 3. Some generational differences were reported, but these were inconsistent across the studies reviewed. There is, therefore, insufficient evidence to provide specific recommendations for the preferred educational approaches of health professional students and further research is warranted.