Miracle-dz/UniFAR-FTUs huggingface dataset:
Antisocial Personality Traits, Substance Use, and Somatization: A Brief Consideration of Their Interrelation

The relationship between antisocial personality traits and the expression of somatic symptoms has been the subject of several theoretical and empirical investigations. The present study sought to advance the understanding of the relationship between these variables by testing two moderation models. It was hypothesized that the relationship between antisocial traits and somatization would be moderated by alcohol use, such that the presence of alcohol dependence would strengthen the relationship between antisocial traits and somatization. It was also hypothesized that gender would play a moderating role in the relationship between ASPD and somatization, such that the relationship would be stronger among women than among men. These models were tested in a sample of 787 criminal offenders. Gender did not emerge as a significant moderator in the relationship between antisocial traits and somatization. Although substance use did significantly moderate the relationship between antisocial traits and somatization, the direction of the effect ran counter to expectations: among participants reporting a history of alcohol dependency, the relationship between antisocial features and somatization was diminished. The implications of these findings are discussed.
Diverse Information Sources and The Community’s High Level of Knowledge About Lymphatic Filariasis in Air Salobar and Waihaong, Ambon City, Indonesia

Background: Mass Drug Administration (MDA) is a strategy to eliminate lymphatic filariasis (LF) in endemic areas. However, individuals' decision to take LF drugs in MDA is associated with their knowledge and awareness about LF. This study examined the association between the community’s level of knowledge and awareness about LF with the number of informant types and media types for LF information in Waihaong and Air Salobar Health Centers, Ambon City, Indonesia. Methodology: We used data from a household survey conducted in January 2019 involving 944 respondents aged 18-70 living in the study sites. Data analysis was performed using multivariable logistic regression. Results: We found that only 33.3% of respondents had a high level of knowledge and awareness about LF. An increased odds of having a high level of knowledge and awareness about LF was associated with respondents receiving information from more than one type of informant and one type of media (aOR=10.55, 95%CI: 2.35-47.37, p=0.002), and among female respondents (aOR=1.92, 95%CI: 1.25-2.94). Conclusions: These findings emphasize the importance of comprehensive health promotion strategies using different types of informants and media to enhance the community's knowledge and awareness about LF, which is important to support the elimination of LF in Ambon City, Indonesia.
THE USE OF ARTIFICIAL INTELLIGENCE AT THE STAGES OF EVACUATION, DIAGNOSIS AND TREATMENT OF WOUNDED SOLDIERS IN THE WAR IN UKRAINE

Abstract. Predictive analytics plays a very important role in the diagnosis and treatment of wounded soldiers, as well as in improving the various stages of their evacuation from the battlefield. Artificial Intelligence (AI) can analyze historical data, current conditions, and other factors to predict potential conflict zones or areas prone to casualties, helping military personnel plan evacuation routes accordingly. Predictive modeling with route analysis using AI algorithms can analyze historical data to identify high-risk areas prone to casualties based on past conflict patterns. AI also can aid in efficient evacuation processes by analyzing data and providing real-time insights to optimize evacuation routes and prioritize patients based on severity of injuries.
Crossroads in a Fog: Navigating Latin America's Development Challenges with Text Analytics

Latin America and the Caribbean are facing challenging times due to a combination of worsening development gaps and limited fiscal space to address them. Furthermore, the region is contending with an unfavorable external environment. Issues such as rising poverty, climate change, inadequate infrastructure, and low-quality education and health services, among others, require immediate attention. Deciding how to prioritize efforts to address these development gaps is challenging due to their complexity and urgency, and setting priorities becomes even more difficult when resources are limited. Therefore, it is crucial to have tools that help policymakers prioritize current development challenges to guide the allocation of financial support from international financial institutions and other development partners. This paper contributes to this discussion by using Natural Language Processing (NLP) to identify the most critical development areas. It applies these techniques to detailed periodic country analysis reports (Country Development Challenges, CDCs) prepared by country economists at the Inter-American Development Bank (IDB) from 2015 to 2021. The study reveals that despite the perception that new development challenges have become more critical lately, the region continues to struggle with the same challenges from the past, particularly those related to the government's institutional capacity, fiscal policy, education, productivity and firms, infrastructure, and poverty.
Effects of forest structure on the ecology of Pygmy Owl Glaucidium passerinum in the Swiss Jura Mountains

Within a study area of 124 km ranging from 1000 to 1677 m a.s. l. in the Swiss Jura, available cavities and nesting sites of the Pygmy Owl have been recorded. A total of 34 cavities were found, of which 14 were occupied by Pygmy Owls at least once during the period 1976–2000. Fourteen variables of the surrounding habitat were registered and compared between available and occupied cavities. Five habitat variables seemed to differ between occupied and available cavities: 1. Most Pygmy Owls breed inside of forests. 2. Breeding sites are often surrounded by regeneration. 3. Breeding Pygmy Owls are found in spruces as well as in fi rs (50%) though more available cavities are in fi rs (65%). 4. All occupied cavities had been built by Great Spotted Woodpeckers. 5. Breeding cavities are located higher above the ground than other available cavities. By marking of trees with cavities suitable for the Pygmy Owl, protection of this species shall be supported.
A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions

To address the degradation of diagnostic performance due to data distribution differences and the scarcity of labeled fault data, this study has focused on transfer learning-based cross-domain fault diagnosis, which attracts considerable attention. However, deep transfer learning-based methods often present a challenge due to their time-consuming and costly nature, particularly in tuning hyperparameters. For this issue, on the basis of classical features-based transfer learning method, this study introduces a new framework for bearing fault diagnosis based on supervised joint distribution adaptation and feature refinement. It first utilizes ensemble empirical mode decomposition to process raw signals, and statistical features extraction is implemented. Then, a new feature refinement module is designed to refine domain adaptation features from high-dimensional feature set by evaluating the fault distinguishability and working-condition invariance of feature data. Next, it proposes a supervised joint distribution adaptation method to conduct improved joint distribution alignment that preserves neighborhood relationships within a manifold subspace. Finally, an adaptive classifier is trained to predict fault labels of feature data across varying working conditions. To prove the cross-domain fault diagnosis performance and superiority of the proposed methods, two bearing datasets are applied for experiments, and the experimental results verify that the model built by the proposed framework can achieve desirable diagnosis performance under different working conditions and that it apparently outperforms comparative models.
Physical Activity in Patients with Neuromuscular Disease Three Years after COVID-19, a Longitudinal Survey: The After-Effects of the Quarantine and the Benefits of a Return to a Healthier Life-Style

Background: Quarantine was one of the strategies adopted by governments against the spread of COVID-19. This restriction has caused an increase in sedentary behaviors and a decrease in the practice of physical activity (PA), with a consequent negative impact on lifestyle both in healthy people and in those who need constant practice of PA to combat diseases, such as patients suffering from neuromuscular diseases (NMDs). Hence, this study aimed to compare PA levels among patients with NMD during and after quarantine. Methods: An adapted version of the International Physical Activity Questionnaire Short-Form and the Short-Form Health Survey were administered during COVID-19 quarantine (T0) and after 3 years (T1) to 91 Italian patients with NMDs. Results: We found a significant increase in the total PA level at T1, with no significant changes in vigorous-intensity PA. Moreover, a significant decrease in the PA level was found among the patients with different NMDs. No significant changes in physical component scores and mental component scores were detected. Conclusions: Our results suggest that it would be necessary to provide alternative indoor exercise settings to prevent the adoption of sedentary behaviors.
Anatomy, Head and Neck, Lymph Nodes

The head and neck, as a general anatomic region, is characterized by a large number of critical structures situated in a relatively small geographic area. It is inclusive of osseous, nervous, arterial, venous, muscular, and lymphatic structures. Lymphadenopathy is a significant clinical finding associated with acute infection, granulomatous disease, autoimmune disease, and malignancy. The involvement of specific nodal groups is an indicator of pathologically-affected organs and tissues, especially in the context of malignancy. As such, intimate knowledge of the anatomic relationships of the lymphatic nodal levels and the structures they drain is critical in the delivery of appropriate therapy in many patients with cancers of the head and neck. This knowledge is especially crucial in guiding the approach to proper locoregional therapy, whether by surgery or irradiation. A detailed understanding of the principle lymphatic nodal levels of the neck is required, including their anatomical configuration and boundaries, patterns of drainage, and risk of metastatic involvement in the context of malignancy.
Wrist-to-Tibia/Shoe Inertial Measurement Results Translation Using Neural Networks

Most of the established gait evaluation methods use inertial sensors mounted in the lower limb area (tibias, ankles, shoes). Such sensor placement gives good results in laboratory conditions but is hard to apply in everyday scenarios due to the sensors’ fragility and the user’s comfort. The paper presents an algorithm that enables translation of the inertial signal measurements (acceleration and angular velocity) registered with a wrist-worn sensor to signals, which would be obtained if the sensor was worn on a tibia or a shoe. Four different neural network architectures are considered for that purpose: Dense and CNN autoencoders, a CNN-LSTM hybrid, and a U-Net-based model. The performed experiments have shown that the CNN autoencoder and U-Net can be successfully applied for inertial signal translation purposes. Estimating gait parameters based on the translated signals yielded similar results to those obtained based on shoe-sensor signals.
The Role of Interactive Technology in Retail Design: A Case Study Within the Fashion Sector

This paper explores the role of interactive technology in retail design, and the prerequisites of the designed retail environment in optimizing customer experience and brand experience. Adopting a case study method, primary data was obtained using semi-structured interviews with 20 experts directly involved in the three chosen cases. The research contributes to the lack of extensive literature on interactive technology in physical retail, specifically within the fashion field. By connecting three topics of academic research – physical retail environment, the role of interactive technology and in-store customer experience and brand experience – it suggests the prerequisites for designed retail environments in optimizing customer experience and brand experience.
Exploring Land use and Land cover change in themining areas of Wa East District, Ghana usingSatellite Imagery

Abstract Satellite imagery has been widely used to monitorthe extent of environmental change in both mine andpost mine areas. This study uses Remote sensing and GeographicalInformation System techniques for the assessmentof land use/land cover dynamics of mine relatedareas in Wa East District of Ghana. Landsat satellite imageriesof three different time periods, i.e., 1991, 2000 and2014 were used to quantify the land use/cover changes inthe area. Supervised Classification using Maximum LikelihoodTechnique in ERDAS was utilized. The images werecategorized into five different classes: Open Savannah,Closed Savannah, Bare Areas, Settlement and Water. Imagedifferencing method of change detection was used toinvestigate the changes. Normalized Differential VegetativeIndex valueswere used to correlate the state of healthyvegetation. The image differencing showed a positive correlationto the changes in the Land use and Land coverclasses. NDVI values reduced from 0.48 to 0.11. The landuse change matrix also showed conversion of savannahareas into bare ground and settlement. Open and closesavannah reduced from 50.80% to 36.5% and 27.80% to22.67% respectively whiles bare land and settlement increased.Overall accuracy of classified 2014 image andkappa statistics was 83.20% and 0.761 respectively. Thestudy revealed the declining nature of the vegetation andthe significance of using satellite imagery. A higher resolutionsatellite Imagery is however needed to satisfactorilydelineate mine areas from other bare areas in such Savannahzones.
Integrating Psychotherapeutic Interventions for Enhanced Resilience and Coping in a Cancer Patient: A Case Study

Cancer, a formidable adversary of human health and well-being, imposes profound physical and emotional challenges upon those who are diagnosed with it. This case study embarks on an exploration into the transformative potential of psychotherapeutic interventions in a 49-year-old female who had been diagnosed with clear cell carcinoma of the left ovary. Psychotherapeutic interventions were systematically integrated into the early stages of cancer treatment. The structured psychotherapeutic interventions consisted of client-centered counselling coupled with mindfulness training and cognitive restructuring. The aim of the intervention was to provide more comprehensive and effective paradigm in cancer care. A mixed-method approach, combining qualitative and quantitative assessment using Brief-COPE scale and Brief Resilience scale was employed. Findings indicated a marked improvement in the patient's resilience, coping, and capacity to confront the physical and emotional challenges posed by cancer. The novel aspect of this research lies in its meticulous examination of a single patient's journey, showcasing the potential of a highly individualized approach.
Molecular Targeting of the BRAF Proto-Oncogene/Mitogen-Activated Protein Kinase (MAPK) Pathway across Cancers

The mitogen-activated protein kinase (MAPK) pathway is essential for cellular proliferation, growth, and survival. Constitutive activation of this pathway by BRAF mutations can cause downstream activation of kinases, leading to uncontrolled cellular growth and carcinogenesis. Therefore, inhibition of BRAF and the downstream substrate MEK has been shown to be effective in controlling tumor growth and proliferation. Over the last decade, several BRAF and MEK inhibitors have been investigated, ranging from primarily melanoma to various cancer types with BRAF alterations. This subsequently led to several Food and Drug Administration (FDA) approvals for BRAF/MEK inhibitors for melanoma, non-small cell lung cancer, anaplastic thyroid cancer, colorectal cancer, histiocytosis neoplasms, and finally, tumor-agnostic indications. Here, this comprehensive review will cover the developments of BRAF and MEK inhibitors from melanomas to tumor-agnostic indications, novel drugs, challenges, future directions, and the importance of those drugs in personalized medicine.
An Automatic DWI/FLAIR Mismatch Assessment of Stroke Patients

DWI/FLAIR mismatch assessment for ischemic stroke patients shows promising results in determining if patients are eligible for recombinant tissue-type plasminogen activator (r-tPA) treatment. However, the mismatch criteria suffer from two major issues: binary classification of a non-binary problem and the subjectiveness of the assessor. In this article, we present a simple automatic method for segmenting stroke-related parenchymal hyperintensities on FLAIR, allowing for an automatic and continuous DWI/FLAIR mismatch assessment. We further show that our method’s segmentations have comparable inter-rater agreement (DICE 0.820, SD 0.12) compared to that of two neuro-radiologists (DICE 0.856, SD 0.07), that our method appears robust to hyper-parameter choices (suggesting good generalizability), and lastly, that our methods continuous DWI/FLAIR mismatch assessment correlates to mismatch assessments made for a cohort of wake-up stroke patients at hospital submission. The proposed method shows promising results in automating the segmentation of parenchymal hyperintensity within ischemic stroke lesions and could help reduce inter-observer variability of DWI/FLAIR mismatch assessment performed in clinical environments as well as offer a continuous assessment instead of the current binary one.
PROCESS FOR RECOVERING SILICA FROM LITHOMARG CLAY: VALUE ADDITION OF UNEXPLOITEDMINING REJECT

Physico-chemical treatment was adopted for processing alumino-siliceous lithomarg clay known as saprolite. The study explained the potential of utilizing saprolite clay as fast resource for recovering silica mineral phases for value added utilization of unused mining reject. The conversion of saprolite to silica enriched low iron precursor was achieved by chemical activation with 1:1 v/v aqueous hydrochloric acid. Recovery of nano-silicate was achieved from the low iron precursor by dissolution in aqueous sodium hydroxide followed by precipitation in acid medium and centrifugation. Physical characterization of silicate nano particle was accomplished by scanning electron microscopy (SEM) and the range of impurities was determined by inductively coupled plasma (ICP) analysis.
Implementation of Brief Admission by Self-Referral in Child and Adolescent Psychiatry in Sweden: Insights from Implementers and Staff

Brief admission by self-referral, which allows patients to briefly admit themselves to a psychiatric ward, is a crisis intervention designed to reduce suicide and self-harm. This method was introduced in Sweden for adult patients in 2015, achieving high patient satisfaction and good acceptance among staff. In 2018, the method was adapted and implemented in pediatric psychiatry. The present study comprehensively describes the multifaceted strategies for implementing brief admissions, including planning, education, financing, restructuring, quality management, and policy implementation and reform. It also includes staff’s opinions of the practice of brief admissions for young people. Neither of these topics has been addressed in the existing literature. During the study period (April 2018–April 2021), 63 brief admission contracts were established. The number of new contracts increased exponentially (12.7%) per quarter (p < 0.05), and staff satisfaction with both the implementation and its benefits for unstable patients was high. Brief admission by self-referral can be successfully implemented in pediatric psychiatry and appears to be a functional crisis management method for adolescents.
Mixed-Frequency Predictive Regressions

Mixed-Frequency Predictive Regressions ∗ Markus Leippold † and Hanlin Yang ‡ January 21, 2019 Abstract This paper explores the performance of mixed-frequency predictive regressions for stock re- turns from the perspective of a Bayesian investor. We develop a parameter learning approach for sequential estimation, allowing for belief revisions. Empirically, we find that mixed-frequency models improve predictability, not only because of the combination of predictors with different frequencies but also due to the preservation of the time-variation in the volatility of predictors. Mixed-frequency models produce higher volatility timing benefits, compared to temporally aggregate models.Therefore, our results highlight the importance of consistently incorporating predictors of mixed frequencies and correctly specifying the volatility dynamics in predictive regressions
Polyacrylic-Coated Solid Nanoparticles Increase the Aquaporin Permeability to Hydrogen Peroxide

Aquaporins (AQPs) allow the diffusion of hydrogen peroxide (H2O2) and act as ROS scavenging systems, which are important for controlling the redox state of cells. Recently, cerium oxide nanoparticles were found to increase the water and H2O2 permeability by modulating AQPs. To further analyze the action of nanoparticles (NPs) on AQP, we examined the effect of the NPs presenting different core compositions (CeO2, Gd2O3, Fe3O4, and TiO2), hydrodynamic sizes, and surface functionalization. The NPs produced an increase in H2O and H2O2 permeability as a general trend. The hydrodynamic sizes of the NPs in the range of 22–100 nm did not produce any significant effect. The chemical nature of the NPs’ core did not modify the effect and its intensity. On the other hand, the NPs’ functionalized surface plays a major role in influencing both water and H2O2 permeability. The results suggest that NPs can play a significant role in controlling oxidative stress in cells and might represent an innovative approach in the treatment of a number of pathologies associated with an increased oxidative status.
Wind Speed Simulation of Wind Farm Using WRF Model

There is an urgent need to fully understand ground wind distribution in order to provide technical support for the planning of wind power plants.The objective of this study is to evaluate the capability of the weather research and forecasting(WRF) model in the simulation of ground wind distribution.Four different schemes of land surface process(SLAB,Noah,RUC Pleim-Xiu) were selected in the WRF model to simulate the wind power of Wujiangyuan wind farm in Guizhou province during the time from 08:00,June 16 to 08:00,June 23,2008(Beijing time),with a horizontal resolution of 1 km.The simulated near-surface wind field and the effects of the four different land surface processes were compared and analyzed.It is concluded that the WRF model can be applied to effectively simulate the near-surface wind variation in the region of interest.The Noah scheme is able to predict the maximum wind velocity,which is closest to the measured field data;the SLAB scheme and the Noah scheme are able to simulate the 7-day wind power density,which is close to the field measurement.With reference to the field measurement and simulation results,the WRF model is found to perform adequately and accurately in simulating,analyzing and predicting the near-surface wind field in this wind farm.Furthermore,the terrain and ground surface roughness have significant effects on the accuracy of simulation results.