Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationships of Self-leadership, Working Environment, and Professionalism among School Health Teachers

Purpose: This study was conducted to examine the relationships of self-leadership, working environment, and professionalism, and to identify the factors that influence professionalism among school health teachers.Methods: This study was a descriptive research study to identify the relationships of self-leadership, work environment, and professionalism among school health teachers. Data were collected from 198 people via an online survey using a structured questionnaire. The data were collected from February 7 to 24, 2023. The relationships of self-leadership, working environment, and professionalism were analyzed using multiple regression analysis.Results: The score of self-leadership of school health teachers was 3.97 points out of 5, working environment was 3.28 points out of 5, and professionalism was 4.12 points out of 5. Professional accountability and competency development were influenced by behavioral strategies of self-leadership, cognitive strategies of self-leadership, and working environment. These variables explained 35.0% and 29.5% of professional accountability, respectively. Autonomy was influenced by age, cognitive strategy of self-leadership, and working environment, and these variables explained 19.2% of the variance of autonomy. Social recognition was influenced by behavioral strategy of self-leadership, and working environment, and these variables explained 28.0% of social recognition.Conclusion: To enhance the professionalism of school health teachers, it is necessary to cultivate self-leadership that can overcome difficulties in work and properly self-criticize. Improving the working environment would help enhance the professionalism of school health teachers.
Evaluation of the added value of a high‐resolution regional climate model simulation of the South Asian summer monsoon climatology

The South Asian summer monsoon (SASM) is a continental scale weather phenomenon, which fluctuates at a range of temporal and spatial scales. Although majority of global climate models are broadly able to simulate the large scale characteristics of the SASM, they generally have major deficiencies such as constraints in reproducing observed mean precipitation. It is generally anticipated that higher resolution regional climate models (RCMs) would be able to simulate an improved mean state owing to their capacity to better simulate fine temporal and spatial scale features and variability. Here, we analyse SASM simulations using a contemporary Hadley Centre RCM, forced by ERA‐Interim reanalysis and observed sea surface temperature, at medium (0.44°) and high (0.11°) horizontal resolutions. Evaluation of the results show that, compared to the medium resolution RCM, the high resolution RCM is able to better resolve the interaction of the low level monsoon flow with the Himalayan orography leading to added value in simulating many aspects of SASM precipitation such as the seasonal mean, relative frequency distribution of daily precipitation, and various metrics of precipitation extremes. In contrast to many previous studies, maximum added value is note along the Indo‐Gangetic plain rather than over the complex Himalayas, and the added values of up to 5 mm day−1 and 50 days are noted for mean precipitation and number of wet days, respectively over the region. Similarly, added values of up to 15 and 3 mm day−1 are noted for 95th percentile of daily precipitation and simple daily intensity index, respectively over central India and the Himalayan range. These results suggest that higher resolution RCMs have the potential to add more value when downscaling global climate model climate change projections.
Pertinent Studies on Treatments for Prolonged Grief Disorder

Prolonged grief disorder (PGD) is a distinctive disorder and leads to severe impairments in people’s life. Treatments specific to PGD are urgently needed. However, there have not been enough studies on this topic and universally effective treatments have not been validated. As a result, the current paper aims to summarize some studies about pertinent treatments and list what may be their shortcomings, in order to give future direction for investigation on treatment for PGD. Results show that study of pharmacology for PGD may just start. There has not been effective medicine yet. Complicated grief treatment can be an effective way to treat PGD, but its response rate can be better, if future studies can confirm its real working factors and examine the treatment in a larger and more diverse sample group. Cognitive behavioral therapy (CBT) targeted at CG shows promising outcomes. However, its response rate should also be improved in the future. Meanwhile, as different CBT plans always have different intervention procedure, it may be hard to figure out what really works on PGD and helps to improve. Future study can try to confirm its true therapeutic factors. In all, there is much work need to be done in the future.
Adaptive NOMA/OMA in Short Packet-Based Sensor Status Update Systems With Imperfect CSI

This article studies the information freshness in short packet-based sensor status update systems, where a control center constantly sends status packets to two Internet of Things (IoT) nodes to update the information, and the timeliness of status updates is characterized by age of information (AoI). To improve the AoI performance, the control center can adaptively select nonorthogonal multiple access (NOMA) or orthogonal multiple access (OMA) mode to send packets. In particular, considering that the IoT nodes cannot obtain accurate channel state information (CSI) in advance and the ideal successive interference cancellation (SIC) cannot be realized in actual short packet communications, we analyze the relationship of CSI estimation accuracy over time and investigate the effect of imperfect CSI and SIC on status updates. To reduce the weighted AoI of the two nodes, we formulate a Markov decision process (MDP), where the control center can choose to send pilot and send packet via NOMA/OMA mode at each slot. We carefully analyze the state transitions in the MDP and transform the weighted AoI minimization problem into a linear programming problem, and then, the optimal scheme is obtained by solving the linear programming problem. The extensive simulation results show that the proposed adaptive NOMA/OMA scheme can significantly reduce the weighted AoI of the system.
Polymer-coated urea rates, timings, and ratio combinations with non-coated urea for corn

Abstract Using enhanced efficiency fertilizers, such as polymer-coated urea (PCU), may be a good nitrogen (N) management option for increased corn (Zea mays L.) grain productivity, improved grain quality and N apparent recovery efficiency. The objective of this study was to evaluate the effect of N application timings (pre-emergence or topdress), N rates (0, 84, 126 and 168 kg N ha−1) and ratios of PCU with non-coated urea (NCU) (100:0, 75:25, 50:50, 25:75 and 0:100) on corn growth, grain yield, quality and N-use efficiency. Grain yield and protein concentration increased with increasing rates of N for both topdressed and pre-emergence timings. The topdressed treatments produced greater grain yields with higher grain protein concentration than pre-emergence applied treatments in most years. Grain N removal and apparent recovery efficiency was higher from topdressed than the pre-emergence timing. The use of PCU over NCU and topdressing over pre-emergence N application was evident.
Forainiferal biostratigraphy of the Egerian flysch sediments in the Silesian Nappe, Outer Carpathians, Polish part of the Bieszczady Mountains

Biostratygrafia otwornicowa utworow egeru plaszczowiny śląskiej Karpoat zewnetrznych w polskiej cześci Bieszczadow Planktonic and benthic Foraminifera have been studied from the youngest deposits of the Krosno beds in the inner part of the Silesian Nappe (Outer Carpathians) in the Bieszczady Mountains. The studied part of the Krosno beds consists of Egerian (upper Oligocene–lower Miocene) flysch sediments, deposited within the Outer Carpathian Basin, a part of the Central Paratethys. Two interval zones: Tenuitella munda Zone and Globigeri- nelloides primordius Zone have been distinguished basing on the succession of planktonic Foraminifera. Additionally, Paragloborotalia inaequiconica Interval Subzone has been defined within the first one. Occurrence of calcareous nannoplankton, dinocyst assemblages and isochronous horizons of coccolith limestones (the Jaslo Limestone and Zagorz Limestone) enabled correlation of the planktonic foraminiferal zones with chronostrati- graphy. The boundary between the two distinguished zones corresponds to the base of NN1 nannoplankton Zone (defined by the occurrence of Helicosphaera scissura) equivalent to the Oligocene/Miocene boundary. The base of the P. inaequiconica Subzone corresponds to the position of the Zagorz Limestone, refferred to NP 24 Zone (early Egerian). The benthic foraminiferal assemblages are dominated by bathyal, calcareous, hyaline, smooth-walled taxa, indicative of anoxic environment. The benthic assemblages remained relatively stable throughout the late Oligocene and were more diversified during the earliest Miocene, most probably in response to the oxygenation of bottom waters, due to the opening of new connections between the Central Paratethys and the Mediterranean region.
Use Of TikTok Slang Among Malaysian Generation Z

This study examines the usage of TikTok slang among Generation Z. The specific objectives are to 1) determine the perceived frequencies of usage; 2) identify the contexts during which TikTok slang are used; 3) determine how the slang are acquired; and 4) find out the reasons why the slang is used. The participants were 102 Generation Z participants aged 10-25 in Malaysia. An online questionnaire was used to collect data. The results showed that 52% of the participants frequently used TikTok slang in communication but 6.9% never used it. As for sources of acquiring slang, social media was the most influential. Friends are more important than family in spreading use of TikTok slang, mainly because TikTok slang is mostly used among young people rather than adults. Over half of the participants frequently used TikTok slang at school or at work but less during social gatherings, and the least during formal meetings. The main reason for the Generation Z participants to use TikTok slang is for fun (73.5%) but one-third of the participants used slang to be creative, show solidarity with ingroup and to be efficient in communication. The study suggests that TikTok slang has possibly spread from social media use into face-to-face communication in school and work settings.
The Effectiveness of the Smartphone-Based WeChat Platform on Reducing Time to Diagnosis and Treatment of ST-segment Elevation Myocardial Infarction

Background : This study evaluated the effectiveness of the smartphone-based WeChat platform in reducing the ischemia time of ST-segment elevation myocardial infarction (STEMI). Methods : A total of 198 STEMI patients who underwent primary percutaneous coronary intervention (PCI) from January 2022 to August 2022 in our hospital were enrolled in this retrospective cohort study. Patients were divided into two groups according to whether their electrocardiograms (ECGs) were posted on the WeChat platform. The two groups were compared for the following: diagnosis time of first ECG, time from first medical contact (FMC) to catheterization laboratory (CL) activity, bypass emergency department (ED) or critical care unit (CCU), time of door to wire, time of door to balloon, time of FMC to wire, heart failure during hospitalization, cardiogenic shock during hospitalization, malignant arrhythmia during hospitalization, death during hospitalization, total hospital cost, and length of stay. Results : The diagnosis time for the first ECG was 10.05 ± 3.30 mins in the control group and 2.50 ± 0.82 mins in the WeChat group ( p < 0.05). The time from FMC to CL activity was significantly shorter in the WeChat group compared to the control group ( p < 0.05). None of the control group patients bypassed the ED, compared to 80 (80%) of patients in the WeChat group ( p < 0.05). The time from door to wire was 60.22 ± 12.73 mins in the WeChat group and 92.56 ± 20.23 mins in the control group ( p < 0.05). The time of FMC to wire was also significantly shorter in the WeChat group than in the control group ( p < 0.05). The WeChat group had a significantly lower rate of heart failure during hospitalization than the control group ( p < 0.05). However, the two groups showed no significant differences for cardiogenic shock during hospitalization, malignant arrhythmia during hospitalization, death during hospitalization, total hospital cost, and length of stay. Conclusions : The smartphone-based WeChat platform demonstrated high efficacy and accessibility in reducing the ischemia time for STEMI patients. Our results indicate that social media platforms such as WeChat could be a useful approach for improving the prognosis of cardiovascular disease.
Impact of Catchment Scale on Rainfall Runoff Modeling: Kalu Ganga River Catchment upto Ratnapura

Lumped rainfall-runoff models are popular among hydrologists as they are convenient for modeling basins. The accuracy of a lumped model could be increased by dividing the catchment into several sub-catchments to represent variations in the basin. This paper discusses the improvements that could be achieved by considering a catchment in several sub-catchments. In this study, lumped model HEC-HMS has been used to model Kalu Ganga River catchment upto Ratnapura. The paper compares the diverse modeling methods available in the HEC-HMS software for modeling losses, modeling transformation of rainfall to runoff and modeling baseflow. The results indicate that the performance of the rainfall-runoff model significantly improves when the basin is modeled in many sub-catchments. Further, the study shows that alternative methods available for loss, transform and baseflow in the HEC-HMS perform differently. For Kalu Ganga River basin the deficit constant method, Snyder unit hydrograph method and recession method were found to be the most suitable methods for the three components.
Measurement of the Growth of the Main Commercial Rays (Raja clavata, Raja brachyura, Torpedo marmorata, Dipturus oxyrinchus) in European Waters Using Intercalibration Methods

Simple Summary Poor quality of biological information, such as age and growth parameters, could be a source of variability with a significant impact on stock assessment results. Concerning the ageing process, variability is frequently linked to differences in the interpretation of calcified structures. The evaluation of precision and accuracy therefore represents a keystone in the ageing procedure. Abstract The intercalibration of age readings represents a crucial step in the ageing procedure; the use of different sampling methods, structures, preparation techniques, and ageing criteria can significantly affect age and growth data. This study evaluated the precision and accuracy of ageing for the most important North Atlantic (NA) and Mediterranean (M) ray species, Raja clavata, Raja brachyura, Torpedo marmorata, and Dipturus oxyrinchus, through exchange exercises carried out by readers from different laboratories. In addition, growth parameters were estimated from the obtained data. A total of 663 individual batoids were analysed. R. clavata and R. brachyura samples were obtained from both the NA and the M, while vertebral centra of T. marmorata and D. oxyrinchus were only available for the M. High reading variability was observed for all four evaluated species in terms of CV, APE, and PA. D. oxyrinchus and T. marmorata showed relatively slow growth and the von Bertalanffy model with fixed t0 and Gompertz’s model were, respectively, the most precise models for each of these species. In R. brachyura, females had a faster growth rate compared to combined sexes. The vbt0p proved the most precise model for describing growth in this species, and no statistical differences were found between the NO and the M. For R. clavata, the best-fitting model was the vbt0p for females and males in the NO and for females from the M, while the best-fitting model for males from the M and sexes combined for both areas was log.p. Distinct growth patterns were observed between the two study areas.
Evolution of fabric anisotropy in cyclic liquefaction of sands

Cyclic liquefaction of sands is influenced by many factors including the initial fabric. Yet, it is difficult to quantify the soil fabric using laboratory technology. In this study, discrete element method (DEM) is used to numerically simulate the process of liquefaction under undrained cyclic loading. Samples with the same void ratio and varying degrees of fabric anisotropy are prepared by the pre-shearing method. Fabric evolution before and after cyclic liquefaction is quantified by the coordination number, angular distribution and the principal direction of inter-particle contacts. The DEM study demonstrated that the coordination number decreases and the fabric anisotropy increases gradually when the sand is cyclically sheared to approach the initial liquefaction. In this process, the principal direction of the anisotropic fabric tensor is not coaxial with the stress tensor. After initial liquefaction, all samples with different initial fabric evolve towards a same fabric, which is strongly anisotropic. The principal direction of the fabric aligns with the principal direction of the stress in the post-liquefaction stage.
Past and future trends of hydroclimatic intensity over the Indian monsoon region

The hydroclimatic intensity index (HY‐INT) is a single index that quantitatively combines measures of precipitation intensity and dry spell length, thus providing an integrated response of the hydrological cycle to global warming. The HY‐INT index is a product of the precipitation intensity (PINT, intensity during wet days) and dry spell length (DSL). Using the observed gridded rainfall data sets of 1951–2010 period, the changes in HY‐INT, PINT, and DSL over the Indian monsoon region have been examined in addition to changes in maximum consecutive dry days (MCD). We have also considered 10 Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models for examining the changes in these indices during the present‐day and future climate change scenarios. For climate change projections, the Representative Concentration Pathway (RCP) 4.5 scenario was considered. The analysis of observational data during the period 1951–2010 suggested an increase in DSL and MCD over most of central India. Further, statistically significant (95% level) increase in HY‐INT is also noted during the period of 1951–2010, which is mainly caused due to significant increase in precipitation intensity. The CMIP5 model projections of future climate also suggest a statistically significant increase in HY‐INT over the Indian region. Out of the 10 models considered, seven models suggest a consistent increase in HY‐INT during the period of 2010–2100 under the RCP4.5 scenario. However, the projected increase in HY‐INT is mainly due to increase in the precipitation intensity, while dry spell length (DSL) showed little changes in the future climate.
Defect engineering of 1T′ MX 2 (M = Mo, W and X = S, Se) transition metal dichalcogenide-based electrocatalyst for alkaline hydrogen evolution reaction

The alkaline electrolyzer (AEL) is a promising device for green hydrogen production. However, their energy conversion efficiency is currently limited by the low performance of the electrocatalysts for the hydrogen evolution reaction (HER). As such, the electrocatalyst design for the high-performance HER becomes essential for the advancement of AELs. In this work, we used both hydrogen (H) and hydroxyl (OH) adsorption Gibbs free energy changes as the descriptors to investigate the catalytic HER performance of 1T′ transition metal dichalcogenides (TMDs) in an alkaline solution. Our results reveal that the pristine sulfides showed better alkaline HER performance than their selenide counterparts. However, the activities of all pristine 1T′ TMDs are too low to dissociate water. To improve the performance of these materials, defect engineering techniques were used to design TMD-based electrocatalysts for effective HER activity. Our density functional theory results demonstrate that introducing single S/Se vacancy defects can improve the reactivities of TMD materials. Yet, the desorption of OH becomes the rate-determining step. Doping defective MoS2 with late 3d transition metal (TM) atoms, especially Cu, Ni, and Co, can regulate the reactivity of active sites for optimal OH desorption. As a result, the TM-doped defective 1T′ MoS2 can significantly enhance the alkaline HER performance. These findings highlight the potential of defect engineering technologies for the design of TMD-based alkaline HER electrocatalysts.
Application of joint intensity algorithms to the registration of emission topography and anatomical images

In current practice, it is common in medical diagnosis or treatment monitoring for a patient to require multiple examinations using different imaging techniques. Magnetic resonance (MR) imaging and computed tomography (CT) are good at providing anatomical information. Three-dimensional functional information about tissues and organs is often obtained with radionuclide imaging modalities: positron emission tomography (PET) and single photon emission tomography (SPET). In nuclear medicine, such techniques must contend with poor spatial resolution, poor counting statistics of functional images and the lack of correspondence between the distribution of the radioactive tracer and anatomical boundaries. Information gained from anatomical and functional images is usually of a complementary nature. Since the patient cannot be relied on to assume exactly the same pose at different times and possibly in different scanners, spatial alignment of images is needed. In this thesis, a general framework for image registration is presented, in which the optimum alignment corresponds to a maximum of a similarity measure. Particular attention is drawn to entropy-based measures, and variance-based measures. These similarity measures include mutual information, normalized mutual information and correlation ratio which are the ones being considered in this study. In multimodality image registration between functional and anatomical images, these measures manifest superior performance compared to feature-based measures. A common characteristic of these measures is the use of the joint-intensity histogram, which is needed to estimate the joint probability and the marginal probability of the images. A novel similarity measure is proposed, the symmetric correlation ratio (SCR), which is a simple extension of the correlation ratio measure. Experiments were performed to study questions pertaining to the optimization of the registration process. For example, do these measures produce similar registration accuracy in the non-brain region as in the brain? Does the performance of SPET-CT registration depend on the choice of the reconstruction method (FBP or OSEM)? The joint-intensity based similarity measures were examined and compared using clinical data with real distortions and digital phantoms with synthetic distortions. In automatic SPET-MR rigid-body registration applied to clinical brain data, a global mean accuracy of 3.9 mm was measured using external fiducial markers. SCR performed better than mutual information when sparse sampling was used to speed up the registration process. Using the Zubal phantom of the thoracic-abdominal region, SPET projections for