Miracle-dz/UniFAR-FTUs huggingface dataset:
Tick-Borne Encephalitis Virus Vaccination among Tourists in a High-Prevalence Area (Italy, 2023): A Cross-Sectional Study

Tick-borne encephalitis (TBE) represents a potential health threat for tourists in high-risk areas, including the Dolomite Mountains in northeastern Italy. The present questionnaire-based survey was, therefore, designed in order to assess knowledge, attitudes, and preventive practices (KAP) in a convenience sample of Italian tourists visiting the Dolomite Mountains, who were recruited through online discussion groups. A total of 942 participants (39.2% males, with 60.2% aged under 50) filled in the anonymous survey from 28 March 2023 to 20 June 2023. Overall, 24.1% of participants were vaccinated against TBE; 13.8% claimed to have previously had tick bites, but no cases of TBE were reported. The general understanding of TBE was relatively low; while 79.9% of participants acknowledged TBE as a potentially severe disease, its occurrence was acknowledged as high/rather high or very high in the Dolomites area by only 51.6% of respondents. Factors associated with the TBE vaccine were assessed by the calculation of adjusted odds ratios (aOR) and 95% confidence intervals through a logistic regression analysis model. Living in areas considered at high risk for TBE (aOR 3.010, 95%CI 2.062–4.394), better knowledge on tick-borne disorders (aOR 1.515, 95%CI 1.071–2.142), high risk perception regarding tick-borne infections (aOR 2.566, 95%CI 1.806–3.646), a favorable attitude toward vaccinations (aOR 3.824, 95%CI 1.774–8.224), and a tick bite(s) in a previous season (aOR 5.479, 95%CI 3.582–8.382) were characterized as being positively associated with TBE vaccination uptake. Conversely, being <50 years old (aOR 0.646, 95%CI, 0.458–0.913) and with a higher risk perception regarding the TBE vaccine (aOR 0.541, 95%CI 0.379–0.772) were identified as the main barriers to vaccination. In summary, tourists to the high-risk area of the Dolomites largely underestimate the potential occurrence of TBE. Even though the uptake of the TBE vaccine in this research was in line with European data, public health communication on TBE is required in order to improve acceptance of this effective preventive option.
Understanding Professional Medical Interpreters’ Perspectives on Advancing Accurate and Culturally Informed Patient–Provider Communication for Filipinos in Hawaiʻi: Qualitative Analysis

One in every eight persons in Hawaiʻi, USA, have limited English proficiency (LEP) and are entitled to free language assistance for federally funded services under Title IV of the Civil Rights Act of 1964. They also have the right to culturally and linguistically appropriate services (CLAS) provided by professional medical interpreters (PMIs). This study’s goals were to uncover barriers and facilitators of CLAS from the perspective of PMIs. PMIs for Filipino languages (n = 10) participated in an online survey and semi-structured interviews. Quantitative data were analyzed using descriptive statistics, and qualitative data were analyzed using conventional content analysis. Six themes emerged in the qualitative analysis: (1) cultural and social factors that can influence patient–provider communication; (2) barriers to effective patient–provider communication: patient, healthcare provider, and PMI levels; (3) facilitators of effective patient–provider communication: patient, healthcare provider, and PMI levels; (4) COVID-19 and remote interpreting barriers and facilitators; (5) strengths and weaknesses of in-person and stand-by interpreting appointments; and, (6) recommendations: system and provider levels. Proposed interventions could include advertising language services among Filipino communities and educating them about their language rights, providing additional resources for language assistance, employing more PMIs, training staff/providers, and supporting the use of PMIs versus untrained individuals.
Compromised Muscle Properties in a Severe Hypophosphatasia Murine Model

Hypophosphatasia (HPP) is a rare metabolic bone disorder characterized by low levels of tissue non-specific alkaline phosphatase (TNAP) that causes under-mineralization of the bone, leading to bone deformity and fractures. In addition, patients often present with chronic muscle pain, reduced muscle strength, and an altered gait. In this work, we explored dynamic muscle function in a homozygous TNAP knockout mouse model of severe juvenile onset HPP. We found a reduction in skeletal muscle size and impairment in a range of isolated muscle contractile properties. Using histological methods, we found that the structure of HPP muscles was similar to healthy muscles in fiber size, actin and myosin structures, as well as the α-tubulin and mitochondria networks. However, HPP mice had significantly fewer embryonic and type I fibers than wild type mice, and fewer metabolically active NADH+ muscle fibers. We then used oxygen respirometry to evaluate mitochondrial function and found that complex I and complex II leak respiration were reduced in HPP mice, but that there was no disruption in efficiency of electron transport in complex I or complex II. In summary, the severe HPP mouse model recapitulates the muscle strength impairment phenotypes observed in human patients. Further exploration of the role of alkaline phosphatase in skeletal muscle could provide insight into mechanisms of muscle weakness in HPP.
Evaluation with PSR Model and GIS Analysis of Agricultural Non-point Source Pollution in Danjiangkou Reservoir of the Mid-Route of the South-to-North Water Transfer Project

The Danjiangkou Reservoir is the water source area of the Middle Route of the South-to-North Water Diversion Project.Thus the water pollution there will directly affect the water quality of the Water Transferred.And Agricultural Non-point Source Pollution(ANPS)had found to be one of major pollute source in the reservoir area,controlling this kind of pollution,therefore is of great importance for ensuring the successful water diversion.Based on the conceptual Model of Pressure-State-Response(PSR),the ANPS including pollutions by poultry and livestock breeding,soil erosion,chemical fertilizers loss,human excrements,domestic waste,straw wastes,aquaculture and rural domestic sewage was evaluated using Equivalent Pollution Loading Method with the data covering five counties in water source area in 2007.Spatial distribution characteristics and pollution characteristics of key regions was identified.The results showed that the primary pollution sources were poultry and livestock breeding,soil erosion and chemical fertilizers loss.According to PSR Model,Xichuan County,Yun County,Danjiangkou City,Yunxi County and Xixia County were suffered non-point pollution in a descending order.Through GIS mapping,the spatial distribution of ANPS in these couties were illustrated which would be conducive to constituting pertinent pollution control measures.
FACTORS AFFECTING EARNINGS MANAGEMENT IN MANUFACTURING COMPANIES LISTED ON INDONESIAN STOCK EXCHANGE

This research aims to determine the effect of leverage, firm size, profitability, liquidity, information asymmetry, and earnings power on earnings management in manufacturing companies listed on the Indonesia Stock Exchange (IDX) throughout 2018-2020. In this research 171 observational data are used in which obtained from 57 manufacturing companies that have met established criteria, where the samples are selected using purposive sampling technique. The data were calculated and processed using Microsoft Excel 2016 dan EViews 12. This research tested the classical assumption before testing the hypothesis and used the multiple linear regression model method, which the suitable model for this research is Fixed Effect Model (FEM). Leverage, profitability, and earnings power have significant effects on earnings management, while firm size, liquidity, and information asymmetry have insignificant effects on earnings management.
Hypoglycaemic and anti-hyperglycaemic activity of aqueous extract of Azanza garckeana leaves in normal and alloxan -induced diabetic rats

The aqueous extract of Azanza garckeana (AG) leaves was tested for hypoglycaemic and anti-hyperglycaemic activities. The extract was administered to Wistar rats orally at 100 and 150 mg/kg doses in oral glucose tolerance test (OGTT), glucose baseline conditions and diabetic conditions. OGTT was tested with the administration of the aqueous extract to normal rats and blood glucose levels were measured for each animal at 30, 60 and 120 minutes after glucose loading. For the hypoglycaemic activity, the extract was administered to normal rats and blood glucose levels were measured for each animal, at 30, 60 and 120 minutes. Alloxan induced diabetic rats were used to determine the anti-hyperglycaemic activity. The extract was administered for 14 days and blood glucose levels were measured for each animal at a weekly interval for 2 weeks. The OGTT study in normal rats showed that administration of the extract at 150 mg/kg reduced blood glucose levels within 30 to 60 minutes after glucose administration, as was also observed with the standard drug (glibenclamide). For the hypoglycaemic study, fasting blood glucose test in normal rats showed that aqueous extract of AG leaf at 150 mg/kg, produced significant (P < 0.05) blood glucose reduction at 60 minutes after administration while glibenclamide revealed significant reduction throughout the time as compared with normal control. 150 mg/kg was the most effective dose during the anti-hyperglycaemic study as it had a significant reduction in blood glucose levels after the 7th day. However glibenclamide had a more significant reduction when compared with treated groups. In conclusion, these results clearly indicate that aqueous leaf extract of Azanza garckeana possess hypoglycaemic and anti-hyperglycaemic effects in normal and diabetic rats and thus support its traditional use to treat diabetes. Therefore, a detailed mechanism-based study and isolation of bioactive compounds responsible for the observed activities of Azanza garckeana is recommended.
Digital design and additive manufacturing of structural materials in electrochemical and thermal energy storage systems: a review

ABSTRACT Additive manufacturing is increasingly utilised in the energy conversion and storage field. It offers great flexibility to fabricate structural materials with improved physical properties, and other advantages such as material waste reduction, fabrication time minimisation, and cost-effectiveness. In this review, current developments in additive manufacturing of energy storage devices are discussed. The digital design approaches of structural materials and mainstream additive manufacturing techniques, including vat photopolymerization, powder bed fusion, material jetting, binder jetting, material extrusion, and directed energy deposition, are summarised. Then, a comprehensive review of recent advances in the electrochemical and thermal energy storage field is provided. In the end, an integrated framework considering digital design and additive manufacturing is proposed for a wide range of energy applications.
An Intelligent IoT and ML-Based Water Leakage Detection System

Water is a precious resource, and much of it is wasted due to the leakage of pipelines. Timely identification of leakage could curb the wastage. Traditional leakage detection methods are time-consuming, inefficient and cause substantial water loss. Onsite, real-time leakage detection could reduce water loss and mitigate associated environmental and economic impacts. In this paper, we have proposed and developed an edge ML-based low-power IoT device to detect water leakage and notify the user. We developed the device in three stages. At first, an experiment was set up to capture real-life audio data of leak and non-leak signals. A piezoelectric contact microphone was used to capture the audio signals and to keep the unwanted environmental noise minimal. In the second step, an ML model was developed. The ML model was then quantized and pruned, resulting in a lightweight model of 11 KB in size with 98.96% accuracy. Finally, a node was implemented with an ML model and radio communication capability. If it detected any leakage, the node started beeping noise and broadcasting low-energy RF messages. The primary node could alert the user of potential leakage. These sensor nodes could be set up in the home or industrial environment. The device’s maximum current draw was 216.8 mA while transmitting data, and the minimum current draw was only 5.46 mA while sleeping. The node could run for more than 25 days on a single 3500 mAh battery.
(2019). MRI Indices of Cortical Development in Young People with Psychotic Experiences: Influence of Genetic Risk and Persistence of Symptoms. Schizophrenia Bulletin, 45(1), 169-179.

Background: Psychotic experiences (PEs) are considered part of an extended psychosis phenotype and are associated with an elevated risk of developing a psychotic disorder. Risk of transition increases with persistence of PEs, and this is thought to be modulated by genetic and environmental factors. However, it is unclear if persistence is associated with progressive schizophrenia-like changes in neuroanatomy. Methods: We examined cortical morphometry using MRI in 247 young adults, from a population-based cohort, assessed for the presence of PEs at ages 18 and 20. We then incorporated a polygenic risk score for schizophrenia (PRS) to elucidate the effects of high genetic risk. Finally, we used atlas-based tractography data to examine the underlying white matter. Results: Individuals with persisting PEs showed reductions in gyri-fication (local gyrification index: lGI) in the left temporal gyrus as well as atypical associations with brain volume (TBV) in the left occipital and right prefrontal gyri. No main effect was found for the PRS, but interaction effects with PEs were identified in the orbitofrontal, parietal, and temporal regions. Examination of underlying white matter did not provide strong evidence of further disturbances. Conclusions: Disturbances in lGI were similar to schizophrenia but findings were mostly limited to those with persistent PEs. These could reflect subtle changes that worsen with impending psychosis or reflect an early vulnerability associated with the persistence of PEs. The lack of clear differences in underlying white matter suggests our findings reflect early disturbances in cortical expansion rather than progressive changes in brain structure.
Factors Affecting Operational Performance nad How It Effect Corporate Sustainability (From the Perspective of Fintech P2P Lending Companies in Indonesia)

P2P lending is a direct lending and borrowing service between lenders and borrowers based on information technology platforms. P2P lending fintech companies face various problems related to the quality of business ethics and cyber risk management, which have an impact on operating performance and company sustainability. This study aims to prove empirically whether there is an influence of the business ethics and cyber risk management on operating performance and its implications for the sustainability of P2P lending fintech companies registered and licensed at the OJK. The research data was collected through a questionnaire instrument, which was collected from 104 P2P lending fintech companies registered/licensed at the OJK until the end of December 2021. The data were analyzed using the statistical technique of Structural Equation Modeling (SEM). The results showed that the quality of cyber risk management had a significant positive effect on operating performance. The test results also show that the business ethics and cyber risk management has a significant positive effect on the sustainability of the P2P lending fintech business. However, business ethics has a significant positive effect on operating performance. The findings of this study add to the limitations of the research literature on the elaboration of performance determination and business sustainability in P2P lending fintech.without repeating what has already been done by others.
Assessment of PD-L 1 expression in a tumor improves the accuracy of predicting the risk of regional breast cancer metastases

Background: Improving the accuracy of axillary lymph node (ALN) status assessment and the search for new markers associated with the risk of breast cancer (BC) metastasis continues to be an urgent problem. Aim: To establish the prognostic significance of the expression of PD-L1 in a tumor for assessing the risk of BC metastasis in ALNs. Materials and methods: A retrospective, case‒control cohort study included 158 patients aged 30 to 85 years with newly diagnosed BC. The material for the study was tumor samples obtained by trephine biopsy. The expression of PD-L1 in the tumor was studied on the invasive component of puncture biopsy specimens by immunohistochemistry using PD-L1 polyclonal antibodies. Statistical analysis was performed using Statistica 12.0 software. Receiver operating characteristic (ROC) curves for PD-L1 and Ki67 were constructed to discriminate cases with and without metastases in the ALNs. Univariate and multivariate analyses were performed to establish independent predictors associated with the risk of BC metastasis. A value of p < 0.05 was considered statistically significant. Results: According to the results, independent predictors of a high risk of BC regional metastasis were T2 (OR = 5.81, 95% CI = 1.75–19.35, p = 0.004) and T3-4 (OR = 43.07, 95% CI = 9.31–199.2, p < 0.0001) stages of BC, absence of an intraductal component (OR = 3.68, 95% CI = 1.32–10.33, p = 0.013), presence of lymphovascular invasion (OR = 3.32, 95% CI = 1.34–8.22, p = 0.009), luminal B HER2-positive (OR = 6.82, 95% CI = 1.13–42.26, p = 0.036) and triple negative (OR = 8.52, 95% CI = 1.12–64.89, p = 0.038) molecular biological subtypes of BC, and PD-L1 expression coefficient greater than 1.65 (OR = 6.39, 95% CI = 2.54–16.09, p = 0.0001). Based on the data obtained, an original noninvasive method for assessing a high risk of BC regional metastasis was developed, the sensitivity of which was 80.9%, the specificity - 82.6%, and the accuracy - 85.7%. The area under the curve (AUC) was 0.876 (95% CI = 0.818–0.924, р < 0.0001). Conclusion: The results of the study indicate that the assessment of PD-L1 expression in a tumor can improve the accuracy of predicting the risk of regional BC metastasis.
Controls on valley spacing in landscapes subject to rapid base‐level fall

What controls the architecture of drainage networks is a fundamental question in geomorphology. Recent work has elucidated the mechanisms of drainage network development in steadily uplifting landscapes, but the controls on drainage‐network morphology in transient landscapes are relatively unknown. In this paper we exploit natural experiments in drainage network development in incised Plio‐Quaternary alluvial fan surfaces in order to understand and quantify drainage network development in highly transient landscapes, i.e. initially unincised low‐relief surfaces that experience a pulse of rapid base‐level drop followed by relative base‐level stasis. Parallel drainage networks formed on incised alluvial‐fan surfaces tend to have a drainage spacing that is approximately proportional to the magnitude of the base‐level drop. Numerical experiments suggest that this observed relationship between the magnitude of base‐level drop and mean drainage spacing is the result of feedbacks among the depth of valley incision, mass wasting and nonlinear increases in the rate of colluvial sediment transport with slope gradient on steep valley side slopes that lead to increasingly wide valleys in cases of larger base‐level drop. We identify a threshold magnitude of base‐level drop above which side slopes lengthen sufficiently to promote increases in contributing area and fluvial incision rates that lead to branching and encourage drainage networks to transition from systems of first‐order valleys to systems of higher‐order, branching valleys. The headward growth of these branching tributaries prevents the development of adjacent, ephemeral drainages and promotes a higher mean valley spacing relative to cases in which tributaries do not form. Model results offer additional insights into the response of initially unincised landscapes to rapid base‐level drop and provide a preliminary basis for understanding how varying amounts of base‐level change influence valley network morphology. Copyright © 2015 John Wiley & Sons, Ltd.
Assessment of River Water Quality Using Macroinvertebrate Organisms as Pollution Indicators of Tamirabarani River Basin, Tamil Nadu, India

River monitoring study was conducted to assess the current water quality status employing macrobenthic organisms as pollution indicators at 12 sampling stations of the perennial river Tamirabarani during March to December 2008. The river is the main source for potable water supply, irrigation, domestic uses, industrial processes etc., to the two districts namely Tirunelveli and Thotthukudi with the population of more than 42,96,261 people. Based on the physicochemical study, the river water quality deteriorates mainly due to organic contaminants which was measured through high BOD, COD and TKN content of the water samples and due to high discharge of domestic discharges, sewage wastes, open defecation, livestock discharges all along the river course. A sum of 3372 macrobenthic individuals comprising of 58 families were collected during the study. The macrobenthic abundance (97 numbers) was perceived at Pabanasam (T1) during March and June; less (36 numbers) assemblage was observed at Thiruppudaimaruthur (T4). The Family Biotic Index level indicates excellent quality at 10.42% of the sampling stations, very good quality at 6.25% stations, good quality at 25% stations, fair quality at 20.83% stations, fairly poor quality at 16.67% stations and poor quality of water at 20.83% of the stations; EPT and EPT/C Index shows uneven distribution of pollution sensitive and pollution tolerant organisms throughout the river system. ASPT and BMWP score of the study showed the water quality from excellent to poor. At present the perennial river is under threat of anthropogenic disturbances during festival periods especially at upstream areas, Tirunelveli city and suburban reaches due to higher pilgrimage and various religious and rituals practices.
THE MEDIATION ROLE OF THE HUMAN DEVELOPMENT INDEX IN ECONOMIC GROWTH AND LABOR FORCE PARTICIPATION IN UNEMPLOYMENT: EVIDENCE FROM EAST JAVA PROVINCE DATA

Every developed and developing country is experiencing economic problems. The good and bad of a country's economy, one of which can be seen from the unemployment rate. The research methodology used is associative and explanatory research with a quantitative approach. This study consists of the independent variables in the form of Economic Growth and Labor Force Participation Rate, the dependent variable is in the form of unemployment, while the intervening variable is in the form of the Human Development Index (IPM). The object of this research is 38 regencies/cities in East Java Province. With a period from 2017 to 2022. The type of data used is in the form of secondary data which includes journals and websites such as the Central Bureau of Statistics or BPS Statistik Indonesia. The data analysis method used is PLS-SEM (Partial Least Square Path Modeling) with the help of SmartPLS 3.0. Based on the data and results of research that has been done, it was found that economic growth has a positive and significant effect on HDI (Human Development Index), economic growth has a significant positive effect on unemployment, the labor force participation rate has a negative and insignificant effect on HDI (development index). Man). The labor force participation rate has a negative and significant effect on unemployment, and the HDI (Human Development Index) has a negative and significant effect on unemployment.