Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Pathfinding Algorithms in Partial Discharge Localization in Power Transformers

The introduction of artificial intelligence (AI) to ultra-high-frequency (UHF) partial discharge (PD) monitoring systems in power transformers for the localization of PD sources can help create a robust and reliable system with high usability and precision. However, training the AI with experimental data or data from electromagnetic simulation is costly and time-consuming. Furthermore, electromagnetic simulations often calculate more data than needed, whereas, for localization, the signal time-of-flight information is the most important. A tailored pathfinding algorithm can bypass the time-consuming and computationally expensive process of simulating or collecting data from experiments and be used to create the necessary training data for an AI-based monitoring system of partial discharges in power transformers. In this contribution, Dijkstra’s algorithm is used with additional line-of-sight propagation algorithms to determine the paths of the electromagnetic waves generated by PD sources in a three-dimensional (3D) computer-aided design (CAD) model of a 300 MVA power transformer. The time-of-flight information is compared with results from experiments and electromagnetic simulations, and it is found that the algorithm maintains accuracy similar to that of the electromagnetic simulation software, with some under/overestimations in specific scenarios, while being much faster at calculations.
Workplace Well-Being in Post-COVID-19 Indonesia: Workplace Loneliness and Happiness at Work with the Moderating Role of Perceived Social Support

Social relationships within the workplace have been recognized to be vital for employee’s well-being. In this post Covid-19 era in Indonesia, major shifts in working arrangements have the potential to impact employees’ social relationships dynamics. Loneliness can emerge as a counterpoint to having positive social relationships. This non-experimental research employs a survey method to explore Workplace Loneliness (WL), Perceived Workplace Social Support (PWSS), and Happiness at Work (HAW) in post Covid-19 pandemic Indonesia. Statistical analysis is performed on responses from 201 participants representing employees with diverse working arrangements in Indonesian organizations, sampled using convenience sampling. Key research findings are as follows: 1) Comparing three employee groups with different working arrangements (WFH, WFO, and a blend of WFH and WFO) reveals no significant differences in WL levels, yet PWSS and HAW levels among the compared groups show significant variations. 2) WL has a significant negative association with HAW. 3) A moderation analysis is performed to reveal a significant negative interaction effect of WL and PWSS on HAW. These findings contribute to existing literature by shedding light on variables related to employee perceptions of social relationships and well-being in the workplace. This research delves into how employee perceptions of both negative (loneliness) and positive (perceived social support) aspects of social relationships correlate with workplace happiness. Additionally, this research highlights the post-Covid-19 disruption context in Indonesia, which impacted variations of employees’ working arrangements.
Properties of Nanohybrid Dental Composites—A Comparative In Vitro Study

(1) Background: the current study investigated three nanohybrid composites: two commercial products ClearfilMajestyTM (CM) and HarmonizeTM (HU), compared with an experimental product PS2. (2) Methods: Two sample types were molded using Teflon dies. The first sample type was represented by standard discs (20 mm diameter and 2 mm thickness) (n = 60, 20/each material), used for surface conditioning investigation, specifically roughness monitoring and color stability analysis using AFM and the CIELab test, respectively. The second sample type was a standard cylindrical specimen (4 mm diameter and 6 mm height) for compression testing (n = 60, 20/each material). After complete polymerization, the samples were ground with sandpaper and further polished. The filler size and distribution in the polymer matrix were investigated with SEM. Data were statistically analyzed using the Anova Test followed by Tukey’s post hoc test on the Origin Lab 2019 software produced by OriginLab Corporation, Northampton, MA, USA. (3) Results: A mono-disperse system was identified in HU samples, while CM and PS2 revealed both nano- and microfiller particles. The samples’ observation after immersion in coffee and tea indicated that a lower roughness combined with optimal filler lamination within the polymer matrix assured the best color preservation. The compression strength was lower for the HU sample, while higher values were obtained for the complex filler systems within CM and PS2. (4) Conclusions: the behavior of the investigated nanohybrid composites strongly depends on the microstructural features.
Comparing ultrasound to fine needle aspiration in differentiating between benign and malignant thyroid masses

Introduction: Due to the possibility of malignancy of thyroid nodules, it is necessary to identify the type of thyroid nodule to choose the most accurate treatment possible. Objectives: Considering that there is no standard diagnostic method for masses with intermediate suspicion of malignancy, the present study was conducted to investigate the diagnostic value of ultrasound in differentiating between benign and malignant thyroid masses compared with fine needle aspiration (FNA). Patients and Methods: In this cross-sectional study, 150 patients who had been referred to an endocrinologist’s office in Bandar Abbas with a complaint of thyroid mass in 2019-2020 and had undergone ultrasound and FNA were included in the study by census. After obtaining their informed consent, the patient’s information was collected by reviewing their ultrasound and FNA reports and analyzed with descriptive and analytical tests in SPSS software version 26. Results: The sensitivity and specificity of ultrasound in detecting malignant and benign masses were 56.25% and 85.07%, respectively. The positive and negative predictive values of ultrasound were 60% and 98.27%, respectively. The number of malignant FNA reports was significantly higher in the intermediate suspicion category of patients than in patients with ultrasound results showing high suspicion of malignancy. Conclusion: Performing further diagnostic measures such as FNA and core needle biopsy after noticing an intermediate suspicion in a patient’s ultrasound seems necessary.
EFFECT OF DIGITAL MARKETING ON PURCHASING DECISIONS FOR TYPICAL BIMA FOOD PRODUCTS

Companies that can compete in a competition are companies that can apply technology in their companies. One of the factors supporting the success of companies and entrepreneurs to gain profits in a wider scope, for this reason one of the strategies that is widely used by entrepreneurs in trading is through digital marketing. This study aims to determine whether there is a significant influence of digital marketing on purchasing decisions for typical Bima food products. The research instrument used a questionnaire with a Likert scale. Data collection techniques using observation, questionnaires and literature study. Data analysis validity, reliability, simple regression test, correlation test, determination test and t test. The results of the study show that digital marketing has a significant effect on purchasing decisions for typical Bima food products
ANALYSIS DETERMINANTS THE VELOCITY OF MONEY IN INDONESIA

This study aims to analyze the effect of gross domestic product, inflation, and interest rates on the velocity of money in Indonesia for the period 2011 quarter I to 2020 quarter IV. This type of research is descriptive research with a quantitative approach. Research data was obtained from publications by the Central Bureau of Statistics (BPS) and Bank Indonesia. The data analysis technique used Multiple Linear Regression using Eviews 12. The results stated that the gross dometic product variable partially had a negative and significant effect on velocity of money, this was indicated by the value of t count > t table, which is -4.002220 > 2.021075, while the inflation variable has no effect on velocity of money with the value of t calculate < t table, which is -0.084848 < 2.021075 and the variable interest rate has a positive effect on velocity of money with the value of t calculate > t table, which is 3.200801 > 2.021075. Simultaneously (together) gross domestic product, inflation, and interest rates have a significant effect on the velocity of money in Indonesia with f calculated > f table which is 27.04354 > 2.838745.
TrICy: Trigger-Guided Data-to-Text Generation With Intent Aware Attention-Copy

Data-to-text (D2T) generation is a crucial task in many natural language understanding (NLU) applications and forms the foundation of task-oriented dialog systems. In the context of conversational AI solutions that can work directly with local data on the user's device, architectures utilizing large pre-trained language models (PLMs) are impractical for on-device deployment due to a high memory footprint. To this end, we propose TrICy, a novel lightweight framework for an enhanced D2T task that generates text sequences based on the intent in context and may further be guided by user-provided triggers. We leverage an attention-copy mechanism to predict out-of-vocabulary (OOV) words accurately. Performance analyses on E2E NLG dataset [Novikova et al. 2017] (BLEU: 66.43%, ROUGE-L: 70.14%), WebNLG dataset [Gardent et al. 2017] (BLEU: Seen 64.08%, Unseen 52.35%), and our Custom dataset related to text messaging applications, showcase our architecture's effectiveness. Moreover, we show that by leveraging an optional trigger input, data-to-text generation quality increases significantly and achieves the new SOTA score of 69.29% BLEU for E2E NLG. Furthermore, our analyses show that TrICy achieves at least 24% and 3% improvement in BLEU and METEOR respectively over LLMs like GPT-3, ChatGPT, and Llama 2. We also demonstrate that in some scenarios, performance improvement due to triggers is observed even when they are absent in training.
New Insights in Lifetime Migrations of Albacore Tuna (Thunnus alalunga, Bonnaterre, 1788) between the Southwest Indian and the Southeast Atlantic Oceans Using Otolith Microchemistry

To clarify potential trans-oceanic connectivity and variation in the natal origin of albacore tuna (Thunnus alalunga) from the southwest Indian Ocean (SWI) and the southeast Atlantic (SA), lifetime otolith elemental signatures were assessed from 46 adults sampled from Reunion Island, and 26 juveniles(group 2+) sampled from two locations along the Atlantic coast of South Africa. LA-ICP-MS analysis was used to assess the multi-elemental composition in B, Ba, Mg, P, Sr, and Zn along the otolith edge (chemical signatures of the capture area), but also near the otolith primordium (spawning origin) and in an area located at 1400–1600 µm from it (nursery origin). Two groups of distinct near-primordium multi-elemental signatures, denoting potentially discrete spawning origins (SpO), were identified using hierarchical clustering. Each of the two SpO was found to contribute to the albacore stocks from all the areas sampled, suggesting a common spawning origin in some fish from the SWI and from the SA, and complex migrations between the two oceans. Three potentially discrete primary nursery sites were identified, each contributing to SA juvenile and SWI adult capture sites differently. The timing for the trans-oceanic movements observed for each albacore capture zone and its implications for local stock management are discussed.
Nursing Students' Perspectives on Academic Dishonesty During Examinations and Assignments: A Cross-Sectional Study

Background and objective Academic dishonesty or misconduct among nursing students is a crucial concern within educational institutions. In nursing education, academic dishonesty hinders the development of knowledge and skills among students, thereby jeopardizing both patient safety and the effectiveness of clinical practice. This study aimed to assess the prevalence and forms of academic dishonesty among nursing students in Saudi Arabia. Methodology The participants comprised 482 nursing students from two governmental universities in Saudi Arabia. A newly developed self-reported questionnaire was used to collect data on academic dishonesty, comprising two distinct sections: a 16-item Academic Dishonesty Questionnaire during examinations and an 11-item Academic Dishonesty Questionnaire related to assignments. Results A one-sample binomial test indicates a significant proportion of students engaging in at least one form of academic dishonesty (n = 452, 93.8%; χ²(1) = 19.176; P < 0.001). Notably, 432 (89.9%) students reported dishonesty in examinations and 385 (79.9%) in assignments. Multiple-response analysis of 7,712 responses from 482 students using the 16-item Examination Dishonesty Questionnaire showed that the majority of the students (n = 4,010, 52%) were cheating on the examination. Similarly, of the 5,302 total responses from the 11-item Assignment Dishonesty Questionnaire, 2,773 (52.3%) responses revealed engagement in academic dishonesty during the assignment. The most prevalent and statistically significant form of academic dishonesty during examinations was studying previous examination questions without the knowledge of the teacher (n = 370, 76.5%), followed by providing and collecting previous examination question papers (n = 316, 65.6%) and (n = 304, 63.1%), respectively. Similarly, the common and significant form of academic dishonesty during the completion of assignments included unfair collaboration (n = 331, 68.7%), allowing a friend to copy assignments (n = 304, 63.1%), and copying from the internet (n = 286, 59.3%) without citing the source (P < 0.001). Conclusions Our study identified a significant prevalence of academic dishonesty among Saudi nursing students, a particularly noteworthy concern within the context of a respected governmental educational institution. This emphasizes the need for implementing rigorous preventive measures to curb academic dishonesty. Based on the findings of our study, recommended interventions include providing educational workshops or similar initiatives to educate students on the consequences of cheating and plagiarism, using diverse questions to assess knowledge and skills during theory examinations and assignments, enforcing stringent penalties for copying and cheating, establishing a code of ethics, and proactively promoting ethical practices among nursing students by leveraging the influence of Islamic religious principles to address this issue.
Effect of Nigella sativa Versus Wheat Germ Oil on the Healing of Traumatic Ulcers in Albino Rats

Background and objective: Nigella sativa (NS) oil has been used as an ointment for relief from abscesses, nasal ulcers, orchitis, eczema, and swollen joints. The nutritional and biological values of wheat germ oil (WGO) are imperative points for testing its wound healing properties in traumatic ulcer. The aim of the study was to evaluate and compare the ability of NS versus WGO in promoting the healing of induced traumatic ulcer in albino rats clinically and histologically. Materials and methods: This study was carried out after the approval of the Research Ethics Committee (REC) of the Faculty of Dentistry, Suez Canal University, in Ismailia, Egypt, on 60 albino rats with induced labial ulcer according to calculated sample size. All animals were anaesthetized with an intraperitoneal injection of 10% ketamine. The ulcer was produced on the labial mucosa corresponding to the midline between the lower two incisors of each rat. After induction of the ulcer, rats were randomly divided into four groups according to the treatment medicament: Group A (negative control group): 15 rats which remained without treatment; Group B (positive control): 15 rats which received daily a topical application of 1 ml of cetylpyridinium chloride (CPC) and lidocaine gel; Group C (NS group): 15 rats which received a daily topical application of 1 mm of NS oil painted by a brush covering the whole area of the ulcer; and Group D (WGO group): 15 rats which received 1 mm of WGO. The ulcers were measured using a digital caliper and were recorded using a digital camera at days 0, 3, 7, and 9, the largest (D) and smallest (d) diameters of the lesion were recorded, and the ulcer area was calculated using the following formula: A=π×D/2×d/2. Tissue samples were taken for histological examination, and the labial mucosa was dissected out and embedded in paraffin wax blocks. The blocks were cut with microtome to obtain sections of 4-5 μm thickness to be stained with hematoxylin and eosin stain and Masson's trichrome stain. All sections were examined under a light microscope, and the presence of inflammatory cells and collagen tissue remodeling were evaluated. Results: Within the control group, there are statistically non-significant changes in the mean of the surface area of ulcer when comparing changes in 10 rats who survived till the seventh day and inflammatory cell count when comparing changes in five rats who were sacrificed at the seventhday. There was a significant decrease in surface area and inflammatory cell count in five rats who survived till the ninth day. Within the WGO group only, all survived rats had healed ulcer at the ninth day. There is a significant decrease in inflammatory cell count in five rats who survived till the ninth day. Conclusion: WGO was significantly more effective in the treatment of animal-induced ulcer compared to NS oil or CPC and lidocaine oral gel.
Projecting the Potential Distribution of Abies koreana in Korea Under the Climate Change Based on RCP Scenarios

The projection of climate-related range shift is critical information for conservation planning of Korean fir (Abies koreana E. H. Wilson). We first modeled the distribution of Korean fir under current climate condition using five single-model species distribution models (SDMs) and the pre-evaluation weighted ensemble method and then predicted the distributions under future climate conditions projected with HadGEM2-AO under four CO2 emission scenarios, the Representative Concentration Pathways (RCP) 2.6, 4.5, 6.0 and 8.5. We also investigated the predictive uncertainty stemming from five individual algorithms and four CO2 emission scenarios for better interpretation of SDM projections. Five individual algorithms were Generalized linear model (GLM), Generalized additive model (GAM), Multivariate adaptive regression splines (MARS), Generalized boosted model (GBM) and Random 20 구경아. 김재욱. 공우석. 정휘철. 김근한 forest (RF). The results showed high variations of model performances among individual SDMs and the wide range of diverging predictions of future distributions of Korean fir in response to RCPs. The ensemble model presented the highest predictive accuracy (TSS = 0.97, AUC = 0.99) and predicted that the climate habitat suitability of Korean fir would increase under climate changes. Accordingly, the fir distribution could expand under future climate conditions. Increasing precipitation may account for increases in the distribution of Korean fir. Increasing precipitation compensates the negative effects of increasing temperature. However, the future distribution of Korean fir is also affected by other ecological processes, such as interactions with co-existing species, adaptation and dispersal limitation, and other environmental factors, such as extreme weather events and land-use changes. Therefore, we need further ecological research and to develop mechanistic and process-based distribution models for improving the predictive accuracy.
Source parameters of the 15 November 1995 Border Town, Nevada, earthquake sequence

The November 1995 Border Town, Nevada, earthquake sequence occurred near the California-Nevada border approximately 20 km northwest of Reno, Nevada. The largest earthquake of the sequence (Mw = 4.5) was widely felt throughout the Reno-Sparks-Truckee region. This event occurred on a west-dipping high-angle fault at a depth of 14 km and shows dip-slip motion on a preferred fault-plane orientation of strike N10°E, dip 70° W, and rake −75°. We have relocated 27 aftershocks and one foreshock of the event using records from the local network and two portable digital instruments. The largest aftershocks also align along a N10°E trend and define the preferred fault plane. All of the aftershocks occur within a small volume with a 2- by 2-km horizontal extent and between depths of 10 and 14 km. Simultaneous determination of M0, fc, and κ is made by fitting spectra using various starting models (i.e., initial Δσs and κ) based on an f−2 spectral shape. M0 ranges from 1018 to 1023 dyne × cm for 14 events and hypocentral distances were less than 15 km. We fit S-wave spectra with different starting models to test the stability of Δσs. The results show that Δσs and κ converged to different values depending on the starting model and the magnitude because of an attenuation-source dimension trade-off. For example, a model starting with a stress drop of 10 bars produced an average Δσs of 27 bars and an apparent scaling breakdown below Mw 3. Starting the search at 50 bars produced an average Δσs of 69 bars and no magnitude dependence. We cannot resolve any breakdown in self-similarity because we find plausible spectral models for all magnitudes where Δσs is nearly constant at 60 bars. Seismograms of the four largest aftershocks, Mw 3.0 to 3.4, were deconvolved using smaller aftershocks as empirical Green's functions. Event radii estimated from the pulse widths yield stress drop averaging 34 bars, within the range of the frequency-domain results.
The nature of memory impairment in multiple sclerosis: understanding different patterns over the course of the disease

Introduction Memory deficit is one of the most common and severe cognitive impairments in patients with multiple sclerosis and can greatly affect their quality of life. However, there is currently no agreement as to the nature of memory deficit in multiple sclerosis. Methods This cross-sectional study, carried out at the Dr. Josep Trueta and Santa Caterina hospitals in Girona (Spain), was designed to determine the semiology of verbal memory deficit in the different stages of the disease. To this end, a modification of Rey’s verbal auditory test was created by introducing two recognition trials between the five learning trials, thus monitoring what happens in terms of acquisition versus the retrieval of information during the learning phase. Linear regression models were used to evaluate verbal episodic memory performance between-groups adjusting results by age, sex, educational level, and the presence of anxiety and/or depressive symptoms. Results 133 patients with multiple sclerosis, clinically isolated syndrome, and radiologically isolated syndrome and 55 healthy controls aged 18–65 years were assessed. It was observed that the memory processes of multiple sclerosis patients worsen with the progression of the disease. In this respect, patients in pre-diagnostic phases (radiologically isolated syndrome and clinically isolated syndrome) show no differences in verbal episodic memory compared to the healthy controls. Patients in the inflammatory stage (relapsing–remitting multiple sclerosis) show a previously learned information retrieval deficit, while patients in progressive stages (secondary progressive multiple sclerosis and primary progressive multiple sclerosis) do not even correctly acquire information. Discussion These results provide significant information to assist in understanding the nature of memory deficits in multiple sclerosis over the course of the disease. These results are discussed in terms of possible cognitive rehabilitation strategies depending on the evolutive stage and are related to neuropathological mechanisms involved in the progression of the disease.