Miracle-dz/UniFAR-FTUs huggingface dataset:
Leadership of The School Principle in Improving Teacher Performance in Elementary Schools

The role of school leadership in improving teacher performance is an important thing to do to produce professional teachers. School principals must have the necessary skills to fulfill their roles effectively and efficiently, maximizing school resourcesThis study employs a purely quantitative methodology. The research subjects include the school principal and three teachers from SD Negeri 5 Juli. Regardless of the method, data collection is carried out through observation, conversation, and documentation. The information is then analyzed by means of data editing, data presentation, and the drawing of conclusions and verification. The purpose of this study is to provide a detailed description of the role of the school principal in boosting teacher performance. Research findings indicate that the role of the head can be improved through teacher competence enhancement (both formally and informally), extensive academic supervision, the development of a productive school culture, and the provision of rewards based on performance. In addition, it's crucial to have resources that aid instructors in their teaching.
Anti-Algics in the Therapeutic Response of Breast and Urological Cancers

The effect of anti-algics on tumor progression and the overall survival of patients is controversial and remains unclear. Herein, we disclose the in vitro effects of the local anesthetics lidocaine, ropivacaine, and levobupivacaine on breast (MCF7), prostate (PC3, LNCaP), and bladder (TCCSUP, HT1376) cancer cell lines, both as monotherapy and in combination with standard-of-care therapeutics. Assays for cell proliferation, viability, death profile, and migration were performed. Additionally, we explored the clinical outcomes of opioid use through a cross-sectional study involving 200 metastatic prostate cancer patients. The main clinical data collected included the type of opioid therapy administered, dosage, treatment duration, disease progression, and overall survival. Results obtained demonstrate that treatment with local anesthetics has a promising selective anti-tumor effect on these types of cancer, with higher effects when associated with docetaxel. This points out the use of local anesthetics as an added value in the treatment of prostate carcinoma patients. Alternatively, chronic opioid use was correlated with reduced overall survival (p < 0.05) and progression-free survival (p < 0.05) at each treatment line in the observational study. While these results provide valuable insights, larger prospective studies are imperative to comprehensively evaluate the clinical impact of opioid analgesics in prostate cancer patients.
Low-Power Consumption IGZO Memristor-Based Gas Sensor Embedded in an Internet of Things Monitoring System for Isopropanol Alcohol Gas

Low-power-consumption gas sensors are crucial for diverse applications, including environmental monitoring and portable Internet of Things (IoT) systems. However, the desorption and adsorption characteristics of conventional metal oxide-based gas sensors require supplementary equipment, such as heaters, which is not optimal for low-power IoT monitoring systems. Memristor-based sensors (gasistors) have been investigated as innovative gas sensors owing to their advantages, including high response, low power consumption, and room-temperature (RT) operation. Based on IGZO, the proposed isopropanol alcohol (IPA) gas sensor demonstrates a detection speed of 105 s and a high response of 55.15 for 50 ppm of IPA gas at RT. Moreover, rapid recovery to the initial state was achievable in 50 μs using pulsed voltage and without gas purging. Finally, a low-power circuit module was integrated for wireless signal transmission and processing to ensure IoT compatibility. The stability of sensing results from gasistors based on IGZO has been demonstrated, even when integrated into IoT systems. This enables energy-efficient gas analysis and real-time monitoring at ~0.34 mW, supporting recovery via pulse bias. This research offers practical insights into IoT gas detection, presenting a wireless sensing system for sensitive, low-powered sensors.
IMPACT OF DERIVATIVE WARRANTS INTRODUCTION ON THAILAND STOCK MARKET VOLATILITY

The Stock Exchange of Thailand (SET) first launched derivative warrants on SET50 index (SET50 DWs) on April 17, 2014. They are currently the most active DWs on the SET. This research uses the GARCH family models augmented with dummy variable to analyze the effect of SET50 DWs on stock market volatility. The sample data consist of daily returns of SET50 index from the period October 30, 2012 to December 30, 2019. The empirical results indicate that the coming into market of SET50 DWs reduces stock market volatility. The GARCH (1,1) TARCH (1,1), and EGARCH (1,1) models are not radically different from each other in their output. However, the asymmetric TARCH (1,1) model is found to provide the best fit in modelling volatility. The SET50 index shows the existence of leverage effect, where negative shocks have a greater impact on the volatility than positive shocks. Introducing SET50 DWs lowers the price volatility of SET50 index so investor having a portfolio investment with a correlation to the performance of SET50 index should adjust hedge ratio appropriately to manage investment risk. There is also a suggestion for policy makers to support the launch of DWs to lower the volatility in underlying spot market resulting in improved efficiency.
Patient and family experiences of lysosomal storage diseases in Canada: A qualitative interview study

Abstract Canadian patients and families affected by rare genetic lysosomal storage diseases (LSDs) suffer from numerous challenges related to disease management, including issues navigating healthcare and social support services, access to orphan drugs, and intensive treatment regimens. These challenges significantly impact people's quality of life, yet they remain obscure and have not been the subject of comprehensive analysis. Thus, we conducted qualitative interviews with Canadian patients and caregivers living with LSDs to advance current understanding of their experiences with rare‐disease (RD) management and health systems navigation to support patient‐focused RD policies and programs and improve the health outcomes of the 2.8 million Canadians affected by RDs. This study employed a qualitative descriptive research design with inductive thematic analysis. The study data were collected using semi‐structured interviews. Thirty Canadian participants were interviewed in person or remotely via video chat to allow for an interactive discussion and the acquisition of rich data related to the insights and perceptions of people with LSDs. Between April and November 2019, 30 participants (16 patients and 14 caregivers) with experiences with nine types of LSDs and living in seven Canadian provinces were interviewed. Five themes were identified using comprehensive thematic analysis. These themes were the complexity of the diagnosis process; navigation of healthcare systems; psychological, social, and financial implications of LSDs; access to social support services; and access to orphan drugs. Our findings reveal that patients' access to appropriate healthcare and social services is subject to significant delays and lacks care coordination. The process of accessing orphan drugs in Canada is extremely complex and convoluted. The study results also illuminate experiences of RD stigma when navigating healthcare and social support systems. Our study offers new insights into the complex nature and extensive needs of Canadians with LSDs that are currently unmet. The management of these complex diseases requires holistic patient care and support beyond having access to orphan drugs. Our findings highlight the importance of bridging existing gaps between health and social care for RD patients. Policymakers should utilize these results when developing the forthcoming national RD strategy.
A First-Order, Morphological Response Model (FORM) for Predicting Hydrologically Induced Bathymetric Change in Coastal-Plain Estuaries

ABSTRACT Kidd, I.M. ; Davis, J., and Fischer, A. , 2017. A first-order morphological response model (FORM) for predicting hydrologically induced bathymetric change in coastal-plain estuaries. Estuarine hydrodynamic modeling is complex, and predicting bathymetric outcomes from imposed hydrological changes requires models to encompass time periods spanning years, decades, or longer. Within this work, a first-order response model (FORM) was developed that doesn't require temporal or process components and represents a considerable computational saving compared with two-dimensional/three-dimensional morphodynamic models. FORM enables a final regime to be predicted using knowledge of only the initial regime and the causal change in the tidal prism. It builds on the power width/distance relationship (y = axn) for a simple estuary and allows for the addition of storages or tributaries. FORM was validated using data from 2004 and pre-1968 for the Petitcodiac River, New Brunswick, Canada, where considerable bathymetric change has occurred because of the Moncton Barrage. Linear regression of the modeled upper Tamar River estuary, Tasmania, Australia, revealed a significant and positive relationship between the predicted and actual estuarine widths (R2 = 0.89 p < 0.001, slope = 1.0085). Historical channel widths, representing various phases of estuarine geomorphology and development were modeled for 1830 and 1890 and were validated against data from an 1830 navigation chart. As a further validation of the 1806 result, the volume of silt accretion associated with the bathymetric change was calculated. The result (13.4 × 106 m3) was within the range of the observed volume of accretion since 1806 (10.0 × 106–15.0 × 106 m3). The model extends the applicability of existing regime models to similar coastal-plain estuaries composed of multiple tributaries, channels, and storages, regardless of synchronicity.
Productivity and profitability analysis of cauliflower as sole and intercropping with red amaranth and radish leafy vegetable

By using natural resources and agricultural inputs more effectively, intercropping is a desirable technique to boost crop output and economic return. The present study was conducted to figure out the most lucrative crop mix for an intercropping system of cauliflower with red amaranth and radish leafy vegetable. A randomized complete block design with three replications was used to set up the experiment. Treatments included nine different cropping systems, including sole cauliflower, sole red amaranth, sole radish leafy vegetable, cauliflower-red amaranth intercropping (1:1), cauliflower-leafy radish intercropping (1:1), cauliflower-red amaranth-leafy radish intercropping (1:1:1), cauliflower-red amaranth-leafy radish intercropping (2:1:1), cauliflower-red amaranth-leafy radish intercropping (1:2:1) and cauliflower-red amaranth-leafy radish intercropping (1:1:2) Productivity parameters of three intercrops (cauliflower-red amaranth-leafy radish) were collected and measured based on their yield and yield contributing traits in different stages of their growth upto the final harvest. And equivalent yield and land ratio along with benefit cost ratio were analyzed to check their profitability. Result illustrated that cauliflower, red amaranth and leafy radish produced the highest yield of 25.4, 13.5 and 18.6 tha-1, respectively when cultivated as a sole crop. However, when all of the three vegetables were grown as intercropping in different cropping system, cauliflower with red amaranth and leafy radish (1:1:1) produced the highest yield (33.2 tha-1) followed by cauliflower-red amaranth-radish intercropping (1:2:1) and cauliflower-red amaranth-radish intercropping (2:1:1) with the yield of 30.0 t ha-1 and 29.8 tha-1. After assessing the productivity and economic return, cauliflower with red amaranth and leafy radish (1:1:1) obtained the highest gross return (997102 Tk ha-1) and net return (512102 Tk ha-1) using the highest land equivalent ratio (2.0) followed by 900900 Tk ha-1 and 435900 Tk ha-1, respectively in the cropping system cauliflower-red amaranth-radish intercropping (1:2:1). The present study concluded that intercropping leafy vegetables (red amaranth and leafy radish) and cauliflower boosted overall productivity and economic return more than sole intercropping cauliflower.
Guided Growth Technique for Epiphysiodesis and Hemiepiphysiodesis: Safety and Performance Evaluation

Background: Guided-growth modulation is a first-line treatment widely adopted to correct lower-limb angular deformities and limb-length discrepancies (LLD) in the paediatric population. Methods: We conducted a retrospective study to evaluate the safety and performance of a new construct (8-Plate Plus or Guided-Growth Plate System Plus, Orthofix S.r.l) used to correct angular deformities and LLD in non-skeletally mature children. The primary endpoint was safety (from plate implantation to removal). The secondary endpoint was performance; patients treated for LLD achieved complete correction if a pre- and post-surgery difference of <0 was observed; angular deformities performance was measured in terms of IMD, ICD, mMPTA, and mLDFA. Results: We performed 69 procedures in 41 patients. A total of 10 patients had an LLD, and 31 had an angular deformity. We observed nine minor complications in the hemiepiphysiodesis group. One patient experienced rebound. All 10 LLD patient treatments were successful. A total of 30/31 patients with an angular deformity had a successful treatment; the remaining patient had a partial correction. Conclusions: Guided-growth by temporary epiphysiodesis or hemiepiphysiodesis was safe and effective for angular deformities and limb-length discrepancies. Further prospective and/or randomized controlled trial studies assessing more significant cohorts of patients and a comparison group could add evidence to our findings.
Investigating Activity Recognition for Hemiparetic Stroke Patients Using Wearable Sensors: A Deep Learning Approach with Data Augmentation

Measuring the daily use of an affected limb after hospital discharge is crucial for hemiparetic stroke rehabilitation. Classifying movements using non-intrusive wearable sensors provides context for arm use and is essential for the development of a home rehabilitation system. However, the movement classification of stroke patients poses unique challenges, including variability and sparsity. To address these challenges, we collected movement data from 15 hemiparetic stroke patients (Stroke group) and 29 non-disabled individuals (ND group). The participants performed two different tasks, the range of motion (14 movements) task and the activities of daily living (56 movements) task, wearing five inertial measurement units in a home setting. We trained a 1D convolutional neural network and evaluated its performance for different training groups: ND-only, Stroke-only, and ND and Stroke jointly. We further compared the model performance with data augmentation from axis rotation and investigated how the performance varied based on the asymmetry of movements. The joint training of ND + Stroke yielded an increased F1-score by a margin of 31.6% and 10.6% compared to ND-only training and Stroke-only training, respectively. Data augmentation further enhanced F1-scores across all conditions by an average of 11.3%. Finally, asymmetric movements decreased the F1-score by 25.9% compared to symmetric movements in the Stroke group, indicating the importance of asymmetry in movement classification.
Effects of Anesthetics on Cardiac Repolarization in Adults: A Network Meta-Analysis of Randomized Clinical Trials.

OBJECTIVES Prolongation of cardiac repolarization, especially the heart rate-corrected QT (QTc) interval, is associated with life-threatening dysrhythmias. This study aimed to identify the anesthetic with the lowest risk of prolonging cardiac repolarization and provide guidance for anesthesia management in patients with cardiac diseases or long QT syndrome. METHODS Randomized controlled trials (RCTs) comparing the effects of anesthetics on cardiac repolarization indices were searched for in multiple databases. The primary outcome was QTc; and the secondary outcomes were other repolarization indices. A network meta-analysis was conducted using a frequentist approach and registered with the International Prospective Register of Systematic Reviews (PROSPERO) database (CRD42022304970). RESULTS Thirteen RCTs investigating 953 adults with normal QTc interval and without cardiovascular diseases were included. Direct meta-analyses found that propofol had less influence than sevoflurane (95% confidence interval (CI): 16.10, 33.54) and desflurane (95% CI: 4.85, 35.36), and sevoflurane had less influence than desflurane (95% CI: 6.96, 19.39) on QTc prolongation. Network analysis found that propofol had less influence than sevoflurane (95% CI: 17.78, 29.63), halothane (95% CI: 11.29, 41.24), desflurane (95% CI: 23.79, 39.88), and isoflurane (95% CI: 20.11, 46.10), and sevoflurane had less influence than desflurane (95% CI: 0.43, 15.82) on QTc prolongation. The rank order of cumulative ranking curve analysis was propofol (100%), sevoflurane (63.8%), halothane (49.5%), desflurane (21.1%), and isoflurane (15.6%). The direct meta-analysis found that propofol had less influence than sevoflurane on QT prolongation (95% CI: 23.12, 57.86). Other secondary outcomes showed no conclusive findings. CONCLUSIONS This meta-analysis found that propofol had a minimal effect on QTc prolongation, followed by sevoflurane and desflurane in adults with normal QTc interval and without cardiovascular diseases. Propofol is the best anesthetic for adult patients with long QT syndrome or cardiac diseases, but still needs more robust evidence.
Big Five Personality Traits and Compulsive Buying: The Mediating Role of Self-Esteem

The inter-relationships between the Big Five personality traits, self-esteem, and compulsive buying are supported by strong empirical evidence. What is yet unknown is to what extent self-esteem can channel the influence of personality traits on compulsive buying. The main objective of this study is to explore the possible mediating role of self-esteem in the link between the Big Five personality traits and compulsive buying. Path analysis results, using a sample of 487 university students, generally confirm the suitability of the proposed model in which self-esteem mediated the effects of the Big Five personality traits (neuroticism, extraversion, agreeableness, openness to experience, and conscientiousness) on compulsive buying. Moreover, a direct effect of neuroticism and conscientiousness on compulsive buying was found. Finally, based on the finding that self-esteem acts as a necessary filter in the analysis of the five factors–compulsive buying relationship, several action-oriented guidelines for the prevention or intervention of this behavioral problem are suggested.
Multicultural and Multireligious Understanding

The purpose of the current study was to investigate EFL instructors’ attitude towards English oral interaction in EFL classroom. For the study, a constructivism paradigm, a descriptive case study design and a qualitative research approach were employed. The participants were eight EFL instructors selected through purposive sampling technique. The data collection instrument was semi-structured interview. A phenomenological data analysis strategy was utilised. The data were analyzed in terms of the three components of attitude: cognitive, affective and behavioural components. Regarding cognitive component, all the EFL instructors perceived oral interaction as essential in promoting learners’ skills. Pertaining to affective component, the EFL instructors preferred oral interaction. Concerning behavioural component of their attitude towards oral interaction, the EFL instructors were enthusiastic to employ oral interaction in EFL classrooms. Therefore, the findings of the study portrayed that the EFL instructors had positive attitude towards oral interaction in the classroom. The findings indicated that, the EFL instructors utilized most of the oral interaction patterns in EFL classroom. Moreover, the EFL instructors employed the different patterns of English oral interaction most often in EFL classrooms.
Local wisdom of Talang Mamak Tribe, Riau, Indonesia in supporting sustainable bioresource utilization

Titisari PW, Elfis, Zen IS, Khairani, Janna N, Suharni N, Sari TP. 2019. Local wisdom of Talang Mamak Tribe, Riau, Indonesia in supporting sustainable bioresource utilization. Biodiversitas 20: 190-197. Study the Talang Mamak tribe is an isolated community that lives traditionally in the downstream Indragiri River, Riau Province, Indonesia. This tribe is one of the oldest Malay tribes (Proto Malay), relatively still maintaining hunting and gathering mode of life even though now some of them began to settle and farm. The study aims to identify their local wisdom and analyze it in the context of bioresource utilization to sustain their living needs. Data were collected through observation, interviews, documentation, and triangulation. The informants to be interviewed were selected using purposive sampling. The study showed that the local wisdom of Talang Mamak Tribe had sustainable dimension in managing bioresources which inherited from their ancestors. This cultural heritage guides the community to always live in harmony with the universe which is reflected in ritual activities such as melambas and basolang menugal (clearing land for farming), manumbai (harvesting timber from the forest) and manjumbai (harvesting honey). Sociologically, the traditions or customs carried out by the Talang Mamak tribe are an effort to preserve and maintain bioresource, so as to create a balance of relations between humans and nature.
Mechanisms of near-surface current and upwelling variability in the tropical Atlantic

The upwelling regions of the eastern equatorial oceans provide not only sources of cold water in a relatively warm environment but also influence the atmospheric circulation and the biological productivity in the tropics. However, the sources of the upwelling waters are well known only for the equatorial upwelling but remained unclear for the off-equatorial upwelling in the Guinea and Angola Dome. A main aspect of this work is to contribute to the understanding of the mean pathways into these Dome regions. A second part of this work focused on interannual to decadal variability of the equatorial near-surface currents related to fluctuations of the subtropical-tropical cell (STC) and the conveyer belt (MOC) return flow.
Impact of Infrastructure Investment on Tax: Estimating Spillover Effects of the Kyushu High-Speed Rail Line in Japan on Regional Tax Revenue

This paper analyzes the impact of infrastructure investment on tax revenues and on the regional economy by studying the effect of the Kyushu high-speed rail line (shinkansen train) in Japan. The effects of the Kyushu high-speed rail line on the economy has often been debated. We estimated its impact in the Kyushu region by using the difference-in-difference method, and compared the tax revenues of regions along the railway line with other regions that were not affected by it. Our findings show a positive impact on the region’s tax revenue following the connection of the Kyushu rapid train with large cities such as Hiroshima and Osaka. Tax revenue in the region significantly increased during the construction in 1991–2003, and dropped after the start of operations in 2004–2010. The rapid train’s impact on the neighboring prefectures of Kyushu is positive. The difference-in-difference coefficient methods reveal that corporate tax revenue was lower than personal income tax revenue during construction. However, the difference in corporate tax revenues rose after connectivity with large cities was completed. The railway’s connectivity to large cities has a significant economic impact not only in the case of Japan but also in other cases such as Uzbekistan.