Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine-Learning-Based Prediction of 1-Year Arrhythmia Recurrence after Ventricular Tachycardia Ablation in Patients with Structural Heart Disease

Background: Ventricular tachycardia (VT) recurrence after catheter ablation remains a concern, emphasizing the need for precise risk assessment. We aimed to use machine learning (ML) to predict 1-month and 1-year VT recurrence following VT ablation. Methods: For 337 patients undergoing VT ablation, we collected 31 parameters including medical history, echocardiography, and procedural data. 17 relevant features were included in the ML-based feature selection, which yielded six and five optimal features for 1-month and 1-year recurrence, respectively. We trained several supervised machine learning models using 10-fold cross-validation for each endpoint. Results: We observed 1-month VT recurrence was observed in 60 (18%) cases and accurately predicted using our model with an area under the receiver operating curve (AUC) of 0.73. Input features used were hemodynamic instability, incessant VT, ICD shock, left ventricular ejection fraction, TAPSE, and non-inducibility of the clinical VT at the end of the procedure. A separate model was trained for 1-year VT recurrence (observed in 117 (35%) cases) with a mean AUC of 0.71. Selected features were hemodynamic instability, the number of inducible VT morphologies, left ventricular systolic diameter, mitral regurgitation, and ICD shock. For both endpoints, a random forest model displayed the highest performance. Conclusions: Our ML models effectively predict VT recurrence post-ablation, aiding in identifying high-risk patients and tailoring follow-up strategies.
Radial Nerve Palsy Associated with Humeral Shaft Fractures in Children

Background This is the first systematic review of the relationship between humeral shaft fractures and radial nerve palsy in children. The present comprehensive review is aimed at identifying important clinical findings between humeral diaphysis fractures and radial nerve injuries and assessing the effects of treatment. Methods We searched electronic bibliographic databases, including PubMed, the Cochrane Library, Scopus, and Web of Knowledge, until March 2022. This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the patients, interventions, comparisons, outcomes guidelines. Results We identified 23 original papers, of which 10 were eligible for further analysis. Cases of 32 young patients with radial nerve palsy were identified and analyzed. The prevalence of radial nerve palsy was 4.34% (eight cases out of 184 patients with humeral shaft fractures). The radial nerve was most often associated with a simple transverse fracture (12A3, 17 cases (65.4%)). Conclusions Radial nerve injury in humeral shaft fractures in children is rare, with a frequency of 4.34%. We highly recommend early surgical nerve exploration with transverse fractures in the distal third segment combined with primary radial palsy. Furthermore, we recommend making thoughtful decisions regarding early nerve exploration in the Holstein–Lewis fractures. In addition, consideration of early surgical nerve exploration in fractures resulting from high-energy trauma and open fractures despite their morphology is recommended.
INVESTIGATION OF EXON20 PIK3CA GENE MUTATION IN PLASMA OF HORMONE RECEPTOR POSITIVE BREAST CANCER PATIENTS

Objective: To determine the frequency of H1047R mutation on exon 20 PIK3CA gene in the plasma of hormone recepter positive (HR+) breast cancer (BC) women and its relationship with clinical characteristics of these patients. Subjects: Plasma was separated from venous blood of 141 female HR+ BC patients, have been treating at 108 Military Central Hospital from June 2021 to June 2023. Method: Circulating free DNA (cfDNA) was isolated from plasma by magnetic beads (Thermo Fisher Scientific). The H1047R hotspot mutation on exon 20 PIK3CA gene was detected in 141 plasma samples by an in-house Realtime PCR assay using a wild-type allele-specific blocker. Results: 47/141 samples (33,3 %) had the H1047R mutation. The H1047R mutation was present in all disease stages, both in metastatic and non-metastatic cases. Although, the rates of gene mutation in late-stage, metastatic cancer patients were higher than those in the early-stage, non-metastatic cancer group, there was no statistically significant difference between the two groups (p > 0.05). Whereas it was not linked to other clinical traits of patients with HR+BC, the H1047R mutation was more common in those with liver metastases and in those received Fulvestrant (p < 0.05). Conclusion: Peripheral blood from patients with HR+BC in all stages contained the H1047R mutation on exon 20 of the PIK3CA gene. This mutation frequently developed in patients received Fulvestrant treatment and has been related to liver metastases.
DIAGNOSTIC MODEL OF TALAROMYCOSIS IN HIV/AIDS PATIENTS

Introduction: Talaromycosis (formerly penicilliosis), one of the most important opportunistic infections in Southeast Asia, is a common cause of HIV-AIDS-associated death. The current diagnosis of Talaromyces marneffei relies on culture. As microbiological results are often late, taking up to 14 days for pathogens isolation, the mortality rate is high. Serum Mp1p ELISA test was used to determine an earlier diagnosis of Talaromycosis. The research objectives were: (1) to determine the cut-off value, sensitivity, and specificity of the Mp1p ELISA test in AIDS patients; (2) to develop diagnostic models (with and without Mp1p ELISA test) of talaromycosis in AIDS patients. Methods: A descriptive cross-sectional study. HIV-infected patients aged ≥18 years with TCD4 <100 cells/mm3 admitted to Ward E, Hospital for Tropical Diseases from June 2017 to July 2019 were recruited. Data analysis using SPSS 25.0 software. A receiver operating characteristic (ROC) curve and Youden index on the ROC curve was used to determine the cut-off value. The area under the ROC curve (AUC) and the 95% confidence intervals (CIs) were used to determine the discrimination power between cases and controls. Chi-square test, odds ratio (OR), and 95% confidence interval were used to find associations among variables. After multivariate analysis, the model of talaromycosis diagnosis was built by Monogram in R.3. 6.3 software. Results: 533 patients meeting the inclusion criteria were enrolled. 78.4% were male; the median age was 34 years (IQR: 29-40), and 77.5% were <40 years-old groups. 70 patients diagnosed with Talaromycosis were compared with other opportunistic infected participants (OIs). The maximum Youden index=0,856 in correlation with the 0,22 OD cut-off value of serum Mp1p presents the highest sensitivity and specificity, with SEN = 88.6% and SPE = 97.0%, respectively. Two models (with and without serum Mp1p) were built based on the adjusted OR of risk factors. Two models based on living areas, skin lesions, low platelet, and Mp1p result. The two models have high accuracy in diagnostic talaromycosis. The SEN and SPEC of the model without Mp1p were 68.6% and 98.1%, and the SEN and SPEC of the model with Mp1p were 85.7% and 98.7%. Recommendation: Serum Mp1p ELISA as well as Diagnostic models of talaromycosis are considered as novel tools for early diagnosis of Talaromycosis in AIDS patients.
The Validation of Beck’s Depression Inventory in Patients With Systemic Diseases: A Psychometric Study at a Dental Institute

Background Depression seriously threatens the world's public health, manifesting symptoms like loss of interest, fatigue, guilt, and impaired focus. Major depressive disorder is a common problem for those with chronic systemic illnesses. Since this illness has an impact on psychosocial well-being and interacts with anxiety and stress, it is crucial to assess psychological functioning. Depression-related issue has a negative impact on oral health and can cause cognitive dysfunction, social interaction problems, and low self-esteem. For the purpose of identifying and effectively managing depression in patients with systemic illnesses undergoing dental procedures, screening tools like the Beck's Depression Inventory (BDI) were used. The BDI's benefits include its strong internal consistency, sensitivity to change, broad concept validity, adaptable criteria validity for separating depressed and nondepressed people, and global dissemination. Materials and methods A cross-sectional prospective study was carried out after receiving the necessary institutional ethical approvals, and the participant's agreement was also obtained. The questionnaire was explained to the patients. The entire participation was voluntary. Results In the current study patient’s ages ranged from 34 years to maximum age of 83 years with a mean age of 59.70±13.16 years, with 40% of the population falling into the 51-65 years age group. According to the results, participants who had multiple systemic disorders were more likely to experience depression than people who had one systemic illness. The chi-square test showed no statistically significant results between the depression scores and the number of systemic diseases (p-0.574). Seventy-five per cent of individuals with depression required tooth extractions. Conclusion Those with systemic disorders who were receiving dental care in the current study showed elevated levels of depression. An important finding was the correlation between depression and tooth extraction, highlighting the need for proactive mental health assessments in dental care. Tailored interventions can mitigate the impact, enhancing the holistic well-being of patients suffering from systemic diseases and depression.
Fuzzy Neural Network Algorithm Application in User Behavior Portrait Construction

—With the increasing number of online users, constructing user behavior profiles has received widespread attention from relevant scholars. In order to construct user behavior profiles more accurately, the research first designed an adaptive fuzzy neural network algorithm based on the momentum gradient descent method. It uses momentum gradient descent to optimize and learn the parameters adjusted by error backpropagation algorithm and least squares estimation method and optimizes the structure of the fuzzy neural network through subtraction clustering. Finally, the improved algorithm is applied to the construction of user behavior profiles. The results showed that in error analysis, the error range of the improved algorithm was within [-0.10, 0.10], and the accuracy was relatively high. In indicator calculation, the improved algorithm had a recall rate of 0.07 and 0.09 higher than the other two algorithms, an accuracy rate of 0.03 and 0.07 higher than the other two algorithms, and an F1 score of 0.07 and 0.08 higher than the other two algorithms, indicating good overall performance. In the ROC curve, the average detection rate of the designed user behavior profiling model was 0.065 and 0.155 higher than the other two models, respectively, with higher detection accuracy. These results demonstrated the effectiveness of improved algorithms and design models, providing certain reference value for the development of related fields.
The emotional labour of teleworkers conducting online counselling during Covid‐19.

Drawing on emotional labour theory, this paper explores the barriers to emotionally complex telework, with a specific focus on the space, interface and pace of work. We examine the working lives of mental health counsellors who adapted from in‐person delivery to online delivery whilst working from home, during the Covid‐19 pandemic. Our qualitative data set comprises of semi‐structured online interviews with 31 counsellors across the United Kingdom. Findings reveal that boundary issues, increased technical interruptions, increased screen time and associated fatigue, and increased contact‐ability due to digitalisation were key barriers to conducting emotionally complex tasks and exacerbated the emotional labour of participants creating more negative outcomes. This resulted in heightened emotion management in the home space, emotional dissonance, stress and in some cases, burn‐out.
ASSESSING THE KNOWLEDGE OF SMALLPOX AND MONKEYPOX VIRUS AMONG THE UNIVERSITY OF TLEMCEN MEMBERS IN THE WAKE OF COVID-19: A 2023 CROSS-SECTIONAL STUDY

Background: A recently-surfaced virus called Monkeypox virus (MPXV) has gained widespread attention as it dominates the news, creating a sense of panic among people due to the potential threat it poses to their health. Materials and Methods: To evaluate knowledge about this virus and its disease, and to raise consciousness among the members of the Faculty of Natural and Life Sciences and Earth and Universe Sciences at the University of Tlemcen, we launched an online web-based survey for a twenty days’ period that contained sociodemographic and perceptiveness questions about the emergent virus, its disease, and vaccination. Results: Our findings showed that the majority of the respondents of our study have a satisfactory level of knowledge about this emerging virus and its disease. Moreover, most participants showed a positive attitude towards the vaccine, considering it the best preventive means to fight against Monkeypox disease. Conclusion: Although the MPXV may not become a pandemic, but knowing the various ways that contribute to its spread is essential to avoid any possibility of a new one, especially in Algeria.
Application of Problem-Based Learning in Biotechnology Learning Contains Local Potential Jruek Drien Aceh to Improve Problem-Solving and Self-Directed Learning Skills of High School Students

Mastery of 21st-century skills by students is very dependent on the education and learning process. This research aims to measure the increase in students' problem-solving and self-directed learning skills. One of the biotechnology lessons that highlights the local potential of Aceh's Jrek Drien which can be a solution to overcome this problem. The research method used was quasi-experimental with a nonequivalent control group design. The population in this study was class X (Ten) students with a research sample of two classes, experimental and control classes, the research sample was determined based on convenience sampling. Data collection instruments used a problem-solving skills description test and a self-rating scale self-directed learning (SRSSDL) questionnaire. The results of the research showed that students' problem-solving skills increased with an average gain score for the experimental group of 22.44, while for the control group, it was 15.00 with the N-gain score for the experimental group being in the medium category and the control group being in the medium category of 0.320. Meanwhile, the students' self-directed learning ability obtained an average score of 81.61 for the experimental group and 79.12 for the control group. Students showed a positive response to the implementation of problem-based learning containing the local potential of Jrek Drien in the good category. Based on the research findings and results, it is stated that there is a significant difference in the increase in learning outcomes of students' problem-solving skills and self-directed learning between the experimental and control classes
Unveiling Key Drivers of Industry 4.0 Adaptation in CKD Automotive Manufacturing Companies: Evidence From Asia and South America

The paper investigates the drivers of Industry 4.0 adaptation in the CKD automotive industry. The methodology is based on a cross-sectional empirical study, where the samples were drawn using simple random sampling. Four hypotheses were developed, and the data were collected using an online survey and a standardised questionnaire. Survey responses were received from white-collar employees at a CKD automotive manufacturer encompassing multiple CKD plants in Asia and South America. One hundred fifty survey responses were received and next analysed using Structural Equation Modelling (SEM) in SmartPLS software. Based on the findings, three drivers, namely, business competitiveness, customer satisfaction, and operational improvement, positively affect the Industry 4.0 adaptation in CKD manufacturing companies. However, the financial benefit factor does not affect the adaptation of Industry 4.0 in manufacturing industries. This study contributes to the existing knowledge in understanding the drivers for Industry 4.0 adaptation. In addition, these findings might aid the practitioners and government in tailoring the policy related to Industry 4.0 in CKD automotive manufacturing industries.
Submarine landslides - geometry and nomenclature.

Submarine landslides are extremely numerous and variable, both in geometry and in origin. The vertical exaggeration inherent in seismic profiles commonly conveys a false impression of failure geometry and leads to inconsistency in terminology. Depth/length ratios indicate that many subaqueous failures are basically translational with only localized and limited noncircular rotational components. The commonly used term "slump" is too general and imprecise, and its usage should be discontinued in favor of nomenclature based upon analysis of the precise crosssectional geometry of individual features.
Prospects in Medical Tourism – India

India has a potential to come-up as a popular tourist destination. What is required is a proper planning to market the country. A branding of the nation needs to be done. In present scenario not just a hillock, a heritage site of a forest is the mode of attraction for the tourist. Whereas, there are several other things coming up with a tense speed. And in this race “Medical tourism” is emerging as a major area attracting tourist not just from different parts of the country but internationally as well. With the experience of so many years in rendering brilliant medical services, India started attracting more and more people from all around the world and is slowly growing into global medical centre. Medical tourism is quickly becoming a way out to mix leisure with healthcare. And the thing which is attracting tourists towards India is the low cost treatment as compared to many of the western countries. Many of the research shows the medical treatment cost is low by an average of 40 to 60%, when compared to western standards. This is the cost of full package which includes accommodation, cost of treatment and accessibility (international). As the popular slogan that goes around in the industry says, India offers “First World treatment at Third World prices. ” India produces almost 28,000 to 30,000 doctors and nurses each year and is known worldwide for its competent and qualified professionals in this field.
Mate Guarding Behaviour in Response to Temperature in Parthenium Beetle Zygogramma bicolorata Pallister

Insects are ectothermic organisms in which most of the biochemical, physiological and behavioral processes may depend on thermal conditions of surrounding environments. Here, we anticipated that the copulatory parameters may also depends on different rearing conditions. So, it was hypothesized that developmental thermal conditions might play crucial role in modulation of mate guarding as well as reproductive outputs of Zygogramma bicolorata Pallister (Coleoptera: Chrysomelidae). In result, deaths of larval instars and pupa were observed along with underdeveloped adults at extreme developmental thermal conditions (15°C and 35°C). On the other hand, maximum time to commencement of mating (TCM) was observed at 20°C and minimum at 25°C. But latent period (LP) and mate guarding duration (MGD) were maximum at 30°C and minimum at 20°C and 25°C respectively. Further, result showed increase level of reproductive output at 20°C. So, it can be concluded that developmental temperature significantly influenced mate guarding and reproductive attributes.
Assessment of Sudden Cardiac Death Risk in Pediatric Primary Electrical Disorders: A Comprehensive Overview

Sudden cardiac death (SCD) in children is a devastating event, often linked to primary electrical diseases (PED) of the heart. PEDs, often referred to as channelopathies, are a group of genetic disorders that disrupt the normal ion channel function in cardiac cells, leading to arrhythmias and sudden cardiac death. This paper investigates the unique challenges of risk assessment and stratification for channelopathy-related SCD in pediatric patients—Brugada syndrome, catecholaminergic polymorphic ventricular tachycardia, idiopathic ventricular fibrillation, long QT syndrome, Anderson–Tawil syndrome, short QT syndrome, and early repolarization syndrome. We explore the intricate interplay of genetic, clinical, and electrophysiological factors that contribute to the complex nature of these conditions. Recognizing the significance of early identification and tailored management, this paper underscores the need for a comprehensive risk stratification approach specifically designed for pediatric populations. By integrating genetic testing, family history, and advanced electrophysiological evaluation, clinicians can enhance their ability to identify children at the highest risk for SCD, ultimately paving the way for more effective preventive strategies and improved outcomes in this vulnerable patient group.
Dietary Supplementation with Nucleotides, Short-Chain Fructooligosaccharides, Xylooligosaccharides, Beta-Carotene and Vitamin E Influences Immune Function in Kittens

Simple Summary Newborns are susceptible to infectious disease, and early life represents a critical developmental window of the immune system, which is important for preventing and fighting disease. There is evidence that nucleotides, oligosaccharides and vitamins can positively influence immune function; however, the evidence that is specifically applicable to cats is limited. This current study fed domestic short hair kittens either a dry format control diet or a test diet fortified with nucleotides, short-chain fructooligosaccharides, xylooligosaccharides, β-carotene and vitamin E until the kittens reached 28 weeks of age. The kittens followed a routine preventative medication schedule for vaccination and a suite of health, metabolism and immune parameters were measured at regular intervals throughout the study. All kittens remained healthy and did not display any clinically relevant signs of adverse health. Antibodies are produced following infection or vaccination. The level of antibody, the proportion of kittens who demonstrated an acceptable response to vaccination and the proportion of kittens who reached the recognised protective level of antibody were greater in kittens fed the test diet. The test diet group demonstrated a stronger antibody-mediated response to vaccination. Antibodies play a role in preventing disease; thus, this suggests that the test diet supports immune defence against immune challenges. Abstract Nucleotides, short-chain fructooligosaccharides (scFOS), xylooligosaccharides (XOS), β-carotene and vitamin E are reported to enhance immune function; however, the evidence of this in cats is limited. The aim of this study was to determine the immunomodulatory effects of these ingredients in kittens. Forty domestic short hair kittens were designated in litters to control or test diet for 28 weeks. Test diet was fortified with 0.33 g nucleotides, 0.45 g scFOS, 0.3 g XOS, 0.7 mg β-carotene and 66.5 mg vitamin E per 100 g diet. Kittens were vaccinated against feline parvovirus (FPV) and herpesvirus (FHV) at 10, 14 and 18 weeks. Kittens remained healthy, with no measured evidence of adverse health. Serum FPV and FHV antibody titres were significantly (p < 0.05) higher in the test diet group at week 23 and 27, respectively. A significantly (p < 0.05) higher proportion of test diet group kittens demonstrated an adequate response (four-fold titre increase) to FHV vaccination and a significantly (p < 0.05) higher proportion reached a protective antibody titre for FHV. Serum IgM was significantly (p < 0.05) higher in the test diet group. The test diet group demonstrated a stronger humoral immune response to vaccination, suggesting the diet supports immune defence, enabling a greater response to immune challenges.