Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmacist-social worker interprofessional relations and education in mental health: a scoping review

Background One in eight patients is affected by a mental health condition, and interprofessional mental health teams collaborate to improve patient care. While pharmacists and social workers are recognized as mental health team members, there is a lack of literature describing interprofessional relations and education between these professions, especially as it pertains to mental health. The purpose of this review was to identify and characterize reports describing pharmacist-social worker interprofessional relations and education within mental health. Methodology To address this knowledge gap, this scoping review was conducted to collect and characterize reports published between January 1, 1960 and August 18, 2023 describing pharmacist-social worker interprofessional relations and education within the field of mental health. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines were followed. Ovid MEDLINE, CINAHL, and Social Work Abstracts were searched using keywords “pharmacy student,” “pharmacist,” “social work student,” “social worker,” and “social work. ” Reports were included if they were published in English and interprofessional relations or education occurred directly between (student) pharmacists and social workers. Results Three hundred twenty records were identified and three records were included: one cross sectional study, one qualitative educational project, and one case report. Each record suggested positive patient and/or educational outcomes developing from pharmacist-social worker interprofessional relations and education. In clinical practice, pharmacist-social work teams identified mental health risk factors, reduced 30-day readmissions, and improved post-discharge telehealth care. In the classroom, a social worker improved pharmacy students’ confidence assessing patient suicidal ideations. Conclusions This scoping review identified needs and areas for future research: pharmacist interprofessional education with Master of Social Work and Doctor of Social Work degree students, transitional care and mental health outcome measure reporting using evidence-based outcomes, and development of scholarly teaching projects utilizing higher-level educational frameworks beyond learner reactions.
Deformation of products cut on AWJ x-y tables and its suppression

The aim of this study is namely investigation of the abrasive water jet (AWJ) cutting of column pieces on commercial x-y cutting machines with AWJ. The shape deformation in curved and/or stepped parts of cutting trajectories caused by both the trailback (declination angle) and the taper (inclination of cut walls) can be calculated from submitted analytical model. Some of the results were compared with data measured on samples cut on two types of commercial tables. The main motivation of this investigation is determination of the percentage difference between predicted and real distortion of cutting product, i.e. accuracy of prepared analytical model. Subsequently, the possibility of reduction of the distortion can be studied through implementation of the theoretical model into the control systems of the cutting machines with the system for cutting head tilting. Despite some limitations of the used AWJ machines the comparison of calculated dimensions with the real ones shows very good correlation of model and experimental data lying within the range of measurement uncertainty. Results on special device demonstrated that the shape deformation in curved parts of the cutting trajectory can be substantially reduced through tilting of the cutting head.
Phytochemistry and Biodiversity of Endophytic Fungal Metabolites Isolated from Medicinal Plants

It is critical to study endophytic fungi because they boost plant production which benefits both people and animals and meets nutritional needs. Four medicinal plants " Datura sramonium, Echinacea purpura, Salvia rosmarinus and Thymus vilgrus " were used to isolate twelve different fungal species. Preliminary light microscope identification showed that these species belonged to three genera Asprigillus species, Alternaria species, and Fusarium species. Antimicrobial activity was done for the intracellular (Mat) and extracellular extracts of all isolated fungi and showed that the extracellular extracts had higher activity than the intracellular (Mat) extracts. " Candida albicans " was the most sensitive fungal species, creating a disincentive zone (11±0.4 mm) with an (E2) fungal isolate, and " Pseudomonas aurogonosa " was the most sensitive bacterial species, producing a disincentive zone (26±0.5 mm) with an (E2) endophytic fungal isolate. Additionally, utilising (1, 1) diphenyl-2-picrylhydrazyl (DPPH) scavenging activity to assess the antioxidant activities for the twelve fungal isolates, it has been found that (T1) and (T3) isolated fungi have the highest antioxidant activities, with IC 50 values of 36.8 and 36.8 µg/ml, successively. Alkaloids, flavonoids, anthocyanins, tannins, and anthraquinones were found in the extracellular and intracellular (Mat) fungal extracts, which were separated using thin layer chromatography (TLC), demonstrating that the extracellular cell extracts have a higher concentration of these phytochemical groups than the intracellular cells. Additionally, the polymerase chain reaction (PCR) was used to completely identify the two most active isolated fungi (R2 and T3), identifying both isolates as Alternaria Alternata .
Characterizing Surface Deformation from 1981 to 2007 on Mount Baker Volcano, Washington

Surface deformation studies at active volcanoes are used to detect changes to magmatie source regions beneath the volcano. At Mount Baker, Washington, continued elevated gas (CO2 and H2S) and heat flux from fumaroles in Sherman Crater indicate the presence of a degassing magma reservoir. Campaign geographic positioning system surveys in 2006 and 2007 provide slope distance measurements of all 19 trilateration lines on Mount Baker. These data are compared with previous slope distance measurements acquired in 1981 and 1983 with electronic distance measurement. The results indicate that surface deformation has occurred on Mount Baker during the last quarter century. Slope distances have predominantly shortened around the edifice at rates of less than 2 mm/yr. The greatest slope length change detected (HDLY-RSVT) is -17 ± 4 ppm on the northern flank of the voleano. A nonlinear least-squares regression fits a uniform surface strain-rate model to the weighted slope change data. The strain model results indicate contractional strain accumulation on Mount Baker with an areal dilation rate of-420 ± 140 nanostrain/yr. The observed strain-rate is distinctly different, by at least an order of magnitude, than the expected regional secular strain-rate from tectonic sources. Elastic dislocation models are used to invert for the loeation, and strength of a point source at depth. The inversion uses a discrete grid search to find the global minimum of the residuals from a nonlinear least squares algorithm. The optimal model prediets a volume change of -11 x 10^ m^, located 1500 meters east-northeast of the summit at a depth of 5.4 km (MSL). However, the global minimum in not well defined, resulting in a wide range of suitable souree parameters. The model can account for much of the deformation detected, indieating that a spherical source model is appropriate, at least to a first order, for modeling physical changes to the magmatic or hydrothermal system at Mount Baker. These results suggest that the magmatie and hydrothermal system at Mount Baker has depressurized, likely from the eombined result of cooling, mass loss, and/or densification, since 1981. This study also provides a new baseline for precise geodetic study of ongoing quiescent degassing at Mount Baker.
Uranium Sequestration by pH Manipulation using NH3 Injection in the Vadose Zone of Hanford Site 200 Area

Laboratory batch experiments to quantify the role of major pore water constituents on uranium (VI) precipitation/removal in synthetized pore water samples injected with NH3 gas were completed in (Chapter 1 and Chapter 2). The formation of U(VI) minerals that would be present in the precipitate samples formed from these synthetized pore water solutions is fundamental to determine the uranyl mineral that could have been formed after the SPW solutions were treated by the injection of NH3. The combination of the XRD and SEM-EDS analyzes were used to find a correlation with the results obtained in the batch experiments and the speciation modeling (Chapter 6). SEM/EDS images and elemental composition analyzes for precipitated samples with low and elevated uranium following by XRD analysis were conducted. The results helped in a better understanding of the uranyl mineral formation in the precipitate samples. The formation of amorphous Si correlated with the removal of U(VI), Si, and Al from the solution. With Ca presence, the SEM images displayed dense amorphous regions high in silica content, where EDS elemental analysis delivered higher U atomic percentages in some samples. XRD revealed the presence of uranyl minerals, but none of them were uranyl silicate minerals as expected. The formation of uranium phases could not be identified in U(VI) low content precipitates.
Dual Polarized Antenna with Wide Beamwidth Utilizing TM01 Mode for X-Band Applications

This paper presents a triple-port dual-polarized antenna designed for X-band applications with a wide beamwidth. The antenna utilizes 50 Ω probe feeding structure, resulting in a small size of 20 × 20 mm 2 . The proposed antenna is developed for X-band applications, operating at 10.7 GHz with a bandwidth of 200 MHz. The structure comprises two stacked substrates with electrical properties (2.2, and 4.5 permittivities, 1.5 mm height). The top layer features a rectangular patch with two ports for exciting orthogonal polarizations, while the middle layer includes a circular patch serving as a ground plane for the rectangular patch. The excitation of TM01 mode in the circular patch generates a conical radiation pattern, and the antenna exhibits an overlapping bandwidth from 10.3 GHz to 10.9 GHz. The peak gains, illustrated over the frequency range, reach 5.2 dBi for the circular patch and 7 dBi for the rectangular patch. Fabrication and measurements of the antenna demonstrate good agreement between experimental and simulation results.
Interaktivni 3D prikaz terena Slovenije na spletu

V sklopu magistrskega dela smo implementirali interaktivni 3D prikaz digitalnega modela terena Slovenije na spletu. Model je izdelala Agencija Republike Slovenije za okolje s pomocjo tehnologije LIDAR. Velikost vseh podatkov o visini v skrceni obliki znasa približno 60 GB. Take kolicine podatkov ne moremo neposredno prenasati za prikaz v brskalniku, zato smo jih morali poenostaviti in organizirati v vec nivojev podrobnosti. Implementirali smo strežniski program, ki podatke na zahtevo streže aplikaciji v brskalniku odjemalca, ta pa skrbi za njihovo upodabljanje. Po implementaciji upodabljanja smo primerjali resitev, ki uporablja obstojece knjižnice, in lastno tehniko, ki je sledila metodi CDLOD.
Antimicrobial Stewardship in Pediatric Emergency Medicine: A Narrative Exploration of Antibiotic Overprescribing, Stewardship Interventions, and Performance Metrics

Antibiotic overprescribing is prevalent in pediatric emergency medicine, influenced by clinician–caregiver dynamics and diagnostic uncertainties, and poses substantial risks such as increasing antibacterial resistance, adverse drug reactions, and increased healthcare expenditures. While antimicrobial stewardship programs have proven effective in optimizing antibiotic use within inpatient healthcare settings, their implementation in pediatric emergency medicine presents specific challenges. Existing biomarkers like white blood cell count, C-reactive protein, procalcitonin, and presepsin have limitations in their ability to distinguish (serious) bacterial infections from other etiologies of fever. Furthermore, rapid antigen detection tests and guidelines aimed at guiding antibiotic prescriptions for children have not consistently reduced unnecessary antibiotic use. To improve antibiotic prescribing practices, potential strategies include the utilization of decision support tools, audit and feedback, establishing follow-up procedures, implementing safety netting systems, and delivering comprehensive training and supervision. Notably, host genome signatures have also gained attention for their potential to facilitate rapid and precise diagnoses of inflammatory syndromes. Standardized metrics are crucial for evaluating antimicrobial use within pediatric healthcare settings, enabling the establishment of benchmarks for assessing antibiotic utilization, quality enhancement initiatives, and research endeavors.
DAMPAK PARTISIPASI DALAM PERENCANAAN STRATEGIS TERHADAP BUDGETARY SLACK: AUTONOMUS BUDGET MOTIVATION DAN KEADILAN PERSEPSIAN

Kesenjangan anggaran dipengaruhi oleh berbagai faktor seperti asimetri informasi, kompleksitas tugas, komitmen organisasi, maupun ketidakpastian lingkungan. Namun terdapat inkonsistensi hasil pada berbagai penelitian sebelumnya. Penelitian ini bertujuan untuk menguji pengaruh partisipasi dalam perencanaan strategis melalui keadilan persepsian dan autonomous budget motivation terhadap kesenjangan anggaran. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dan verifikatif dengan pendekatan kuantitatif. Unit analisis dalam penelitian ini adalah individu dengan jabatan Manager yang terlibat dalam proses penyusunan usulan anggaran pada perusahaan pelayaran tahun 20XX. Data penelitian ini diambil menggunakan metode survey, dengan jumlah populasi penelitian adalah 90 orang, metode sampling yang digunakan adalah purposive sampling. Adapun Teknik analisis data menggunakan Partial Least Square – Structural Equation Modelling (PLS – SEM). Berdasarkan hasil penelitian, dapat disimpulkan bahwa partisipasi manajer dalam perencanaan strategis secara siginifikan positif mempengaruhi keadilan persepsian dan autonomous budget motivation yang dirasakan oleh para manajer tingkat menengah dan dapat menurunkan kesenjangan anggaran yang terjadi pada organisasi.
An Analysis of Machine Learning for Detecting Depression, Anxiety, and Stress of Recovered COVID-19 Patients

Objectives: This study explores different machine learning models (KNN: k-nearest neighbor, MLP: Multilayer Perceptron, SVM: Support Vector Machine) to identify the optimal model for accurate and rapid mental health detection among the recovered COVID-19 patients. Other techniques are also investigated, such as feature selection (Recursive Feature Elimination (RFE) and Extra Trees (ET) methods) and hyper-parameter tuning, to achieve a system that could effectively and quickly indicate mental health. Method/Analysis: To achieve the objectives, the study employs a dataset collected from recovered COVID-19 patients, encompassing information related to depression, anxiety, and stress. Machine learning models are utilized in the analysis. Additionally, feature selection methods and hyper-parameter tuning techniques are explored to enhance the model’s predictive capabilities. The performance of each model is assessed based on accuracy metrics. Findings: The experimental results show that SVM is the most suitable model for accurately predicting an individual’s mental health among recovered COVID-19 patients (accuracy ≥ 0.984). Furthermore, the ET method is more effective than the RFE method for feature selection in the anxiety and stress datasets. Novelty/Improvement:The study lies in the understanding of predictive modeling for mental health and provides insights into the choice of models and techniques for accurate and early detection. Doi: 10.28991/HEF-2024-05-01-01 Full Text: PDF
Pruning With Scaled Policy Constraints for Light-Weight Reinforcement Learning

The increasing computational demands of Deep Reinforcement Learning (DRL) models, particularly for embedded systems in autonomous vehicles and drones, present significant challenges owing to their extensive neural network complexities. Previous DRL compression strategies predominantly focused on unstructured pruning, effective for reducing model size but requiring specialized hardware for computational acceleration. Conversely, DRL models with structured pruning applied can be accelerated on standard hardware, though they typically encounter performance issues at higher pruning rates due to structural constraints. In response to these challenges, this paper introduces an advanced structured pruning methodology, combined with scaled policy constraints (SPC) for DRL models. Our approach overcomes the performance limitations of conventional structured pruning, achieving high pruning rates while maintaining robust model performance. Enhanced performance restoration after pruning is achieved by fine-tuning with SPC and applying structural regularization, thus ensuring efficient decision-making with a minimal computational burden. Extensive evaluations on the D4RL benchmark and in a drone control simulation environment confirm the effectiveness of our method. Our approach maintains performance integrity even at high pruning rates, with less than a 2% decrease in normalized score at 90% pruning in D4RL and preserving cumulative reward at 87% pruning in drone control simulation. Significantly, our approach also enables considerable computational acceleration on standard hardware. We implemented our method on the NVIDIA Jetson Xavier NX board and achieved a 2.5-fold speed-up on devices with NVIDIA Volta GPUs and over double the speed-up on those with NVIDIA Carmel ARMv8.2 CPUs. These outcomes highlight our method’s suitability for real-time, resource-constrained applications, demonstrating its practicality and efficiency.
Impact of Growth Hormone on Microglial and Astrocytic Function.

The role of growth hormone (GH) in the central nervous system (CNS) involves neuroprotection, neuroregeneration, formation of axonal projections, control of cognition, and regulation of metabolism. As GH induces insulin-like growth factor-1 (IGF-1) expression in many tissues, differentiating the specific functions of GH and IGF-1 in the organism is a significant challenge. The actions of GH and IGF-1 in neurons have been more extensively studied than their functions in nonneuronal cells (e.g., microglial cells). Glial cells are fundamentally important to CNS function. Microglia, astrocytes, oligodendrocytes, and tanycytes are essential to the survival, differentiation, and proliferation of neurons. As the interaction of the GH/IGF-1 axis with glial cells merits further exploration, our objective for this review was to summarize and discuss the available literature regarding the genuine effects of GH on glial cells, seeking to differentiate them from the role played by IGF-1 action whenever possible.
EfficientTTS 2: Variational End-to-End Text-to-Speech Synthesis and Voice Conversion

Recently, the field of Text-to-Speech (TTS) has been dominated by one-stage text-to-waveform models which have significantly improved speech quality compared to two-stage models. In this work, we propose EfficientTTS 2 (EFTS2), a one-stage high-quality end-to-end TTS framework that is fully differentiable and highly efficient. Our method adopts an adversarial training process, with a differentiable aligner and a hierarchical-VAE-based waveform generator. These design choices free the model from the use of external aligners, invertible structures, and complex training procedures as most previous TTS works have. Moreover, we extend EFTS2 to the voice conversion (VC) task and propose EFTS2-VC, an end-to-end VC model that allows high-quality speech-to-speech conversion. Experimental results suggest that the two proposed models achieve better or at least comparable speech quality compared to baseline models, while also providing faster inference speeds and smaller model sizes.
Impact of the Development of Industrial Bio Agricultural Model against the Additional Value of Farming on Dry Land in Tabanan Bali

The main objectives of this study are (1) to analyze the impact of the development of bioindustry farming models on value added farming on dry land in Tabanan Bali (2) to analyze what factors influence farming value added in the development model of bioindustry in dry land in Tabanan Bali and . The study was conducted in Antapan Village with a sample of 45 farmers, data collected by survey techniques using questionnaires. Data were analyzed using descriptive analysis, R / C, and multiple linear regression. The results of the study found that the impact of the development of bio industry farming models could provide added value for farming from processed products in the form of fruit-flavored vegetable juice; avocado, pineapple and srikaya and processed products of spinach chips with an average value of IDR. 9,302,500 / year. The factors that influence the added value of farming in the bio industry farming model in Antapan Village are, the number of seeds, the amount of use of organic fertilizer and the amount of labor use.
Factors of Affecting Tax Avoidance in The Property and Real Estate Sector 2017-2020

Tax avoidance is a legal strategy used by taxpayers to decrease their tax liabilities, safely and without violating tax laws. But the reality is that many taxpayers deviate from the rules to carry out this tax avoidance. The goal of the research is to gather empirical evidence on tax avoidance profitability, leverage, capital intensity, and institutional ownership. The population in this study is a real &estate property sector company listed on the Indonesia Stock Exchange for 2017 - 2020. The sample selection technique uses purposive sampling and obtained by 9 companies with a time of 4 years so that 36 samples were observed. The data analysis model in this study is regression of panel data using Eviews Software 11.0. The results showed that profitability, leverage, capital intesity and institutional ownership had simultaneous influences on tax avoidance. Studies indicate institutional ownership has a negative and significant impact on tax avoidance. Capital intensity has a positive impact on tax avoidance, while profitability and leverage have no effect on tax avoidance.
Clinical Effect of Psychological Nursing Combined with Fluoxetine in the Treatment of Postoperative Anxiety in Patients with Endometrial Cancer

Background : This study aimed to assess the effectiveness of a combined approach involving psychological nursing and fluoxetine in improving the mental well-being and quality of life in patients undergoing hysterectomy. Methods : Patients were categorized into three groups: control, intervention group A, and intervention group B, based on the nursing plan. The control group received routine nursing care, whereas intervention group A received routine nursing care and psychological support. Intervention B received routine nursing care, psychological support, and fluoxetine treatment. Psychological symptoms, anxiety, depression, quality of life, and nursing satisfaction were compared between the three groups before and after nursing interventions. Results : The outcomes of intervention groups A and B were superior to those of the control group. Furthermore, intervention group B outperformed intervention group A. After the interventions, the nursing satisfaction was higher in both intervention groups, A and B, compared to the control group. In contrast, intervention B exhibited the highest satisfaction scores, surpassing those of intervention group A. Conclusions : The combination of psychological nursing and fluoxetine therapy for patients with endometrial cancer undergoing hysterectomy holds significant promise in alleviating anxiety and depression, improving their overall quality of life, and increasing nursing satisfaction.