bluuebunny/crossref_metadata_2025 huggingface dataset:
Sudden Sensorineural Hearing Loss after COVID-19 Vaccination: A Review of the Available Evidence through the Prism of Causality Assessment
Authors: Thai-Van Hung , Bagheri Haleh , Valnet-Rabier Marie-Blanche
Published: February 2024

Sudden sensorineural hearing loss (SSNHL), a rare audiological condition that accounts for 1% of all cases of sensorineural hearing loss, can cause permanent hearing damage. Soon after the launch of global COVID-19 vaccination campaigns, the World Health Organization released a signal detection about SSNHL cases following administration of various COVID-19 vaccines. Post-marketing studies have been conducted in different countries using either pharmacovigilance or medico-administrative databases to investigate SSNHL as a potential adverse effect of COVID-19 vaccines. Here, we examine the advantages and limitations of each type of post-marketing study available. While pharmacoepidemiological studies highlight the potential association between drug exposure and the event, pharmacovigilance approaches enable causality assessment. The latter objective can only be achieved if an expert evaluation is provided using internationally validated diagnostic criteria. For a rare adverse event such as SSNHL, case information and quantification of hearing loss are mandatory for assessing seriousness, severity, delay onset, differential diagnoses, corrective treatment, recovery, as well as functional sequelae. Appropriate methodology should be adopted depending on whether the target objective is to assess a global or individual risk.
Effectiveness of BNT162b2 BA.4/5 Bivalent COVID-19 Vaccine against Long COVID Symptoms: A US Nationwide Study
Authors: Di Fusco Manuela , Sun Xiaowu , Allen Kristen E. , Yehoshua Alon , Berk Alexandra , Alvarez Mary B. , Porter Thomas M. , Ren Jinma , Puzniak Laura , Lopez Santiago M. C. , Cappelleri Joseph C.
Published: February 2024

Background: Long COVID has become a central public health concern. This study characterized the effectiveness of BNT162b2 BA.4/5 bivalent COVID-19 vaccine (bivalent) against long COVID symptoms. Methods: Symptomatic US adult outpatients testing positive for SARS-CoV-2 were recruited between 2 March and 18 May 2023. Symptoms were assessed longitudinally using a CDC-based symptom questionnaire at Week 4, Month 3, and Month 6 following infection. The odds ratio (OR) of long COVID between vaccination groups was assessed by using mixed-effects logistic models, adjusting for multiple covariates. Results: At Week 4, among 505 participants, 260 (51%) were vaccinated with bivalent and 245 (49%) were unvaccinated. Mean age was 46.3 years, 70.7% were female, 25.1% had ≥1 comorbidity, 43.0% prior infection, 23.0% reported Nirmatrelvir/Ritonavir use. At Month 6, the bivalent cohort had 41% lower risk of long COVID with ≥3 symptoms (OR: 0.59, 95% CI, 0.36–0.96, p = 0.034) and 37% lower risk of ≥2 symptoms (OR: 0.63, 95% CI, 0.41–0.96, p = 0.030). The bivalent cohort reported fewer and less durable symptoms throughout the six-month follow-up, driven by neurologic and general symptoms, especially fatigue. Conclusions: Compared with unvaccinated participants, participants vaccinated with the bivalent were associated with approximately 40% lower risk of long COVID and less symptom burden over the six-month study duration.
Human Papillomavirus (HPV) Vaccine Coverage and Confidence in Italy: A Nationwide Cross-Sectional Study, the OBVIOUS Project
Authors: Montalti Marco , Salussolia Aurelia , Capodici Angelo , Scognamiglio Francesca , Di Valerio Zeno , La Fauci Giusy , Soldà Giorgia , Fantini Maria Pia , Odone Anna , Costantino Claudio , Leask Julie , Larson Heidi J. , Lenzi Jacopo , Gori Davide
Published: February 2024

Background: Human Papillomavirus (HPV) vaccination rates are still below the target due to vaccine refusal or delay, lack of knowledge, and logistical challenges. Understanding these barriers is crucial for developing strategies to improve HPV vaccination rates. Methods: This cross-sectional study used a questionnaire to investigate social and behavioral factors influencing decision making about the HPV vaccine. The survey was conducted from 11 April to 29 May 2022 and involved 10,000 Italian citizens aged ≥ 18 years. The sample was stratified based on region of residence, gender, and age group. Results: 3160 participants were surveyed about themselves, while 1266 respondents were surveyed about their children’s vaccine uptake. Among females aged ≥ 26 years, the national average HPV vaccine uptake was 21.7%, with variations across different regions. In the 18–25 age group, females had a vaccine uptake (80.8%) twice as much as males (38.1%), while vaccine uptake among male and female children aged 9–11 was similar. Conclusions: The OBVIOUS study in Italy reveals factors influencing low HPV vaccine uptake, suggesting targeted approaches, tailored information campaigns, heightened awareness of eligibility, promoting early vaccination, addressing low-risk perception among males, addressing safety concerns, and enhancing perceived accessibility to improve vaccine uptake and mitigate health risks.
COVID-19 Vaccine Coverage and Factors Associated with Vaccine Hesitancy: A Cross-Sectional Survey in the City of Kinshasa, Democratic Republic of Congo
Authors: Akilimali Pierre Z. , Egbende Landry , Kayembe Dynah M. , Kabasubabo Francis , Kazenza Benito , Botomba Steve , Tran Nguyen Toan , Mashinda Désiré K.
Published: February 2024

Vaccination against COVID-19 has been the main strategy used by most countries to limit the spread of the virus. However, vaccine uptake has been low in Africa, leading to the implementation of several interventions in order to improve vaccine coverage. This study was conducted due to the lack of information about COVID-19 vaccine coverage and the factors associated with vaccine hesitancy. This cross-sectional study was carried out in Kinshasa city using multi-stage random sampling. A total of 2160 households were included in this study. The data were analyzed using Stata 17 software. The means and standard deviations were computed for continuous data that followed a normal distribution, whereas proportions together with their 95% confidence intervals (CIs) were computed for categorical variables. The connections between dependent variables and each independent variable were tested using either Pearson's chi-square test or Fisher's exact test. The logistic regression method was employed to determine the factors that are linked to hesitation in obtaining the COVID-19 immunization. The majority of respondents were aged between 25 and 34 and 35 and 49 (28.9%). During this study, 15% (95% CI [13.25–17.9]) of respondents had received at least one dose of the COVID-19 vaccine. The prevalence of vaccine hesitancy was 67% (CI95%:64.9–69.1). Among the reasons given for refusing to be vaccinated, most respondents cited concerns about the vaccine being unsafe or causing adverse reactions (45%). Among the reasons given for accepting the vaccine, 26% thought that the vaccine prevented superinfection. The factors associated with hesitancy toward the COVID-19 vaccine were female gender, an age of less than 35 years, and living in non-slum households. Despite the interventions implemented across the country, the reluctance to be vaccinated remains a problem; this could lead to poor health outcomes, especially among the elderly and those with pre-existing conditions. It is important to step up awareness-raising campaigns in the community in order to increase the uptake of vaccination.
Hydrochemical Characteristics, Controlling Factors and Strontium Enrichment Sources of Groundwater in the Northwest Plain of Shandong Province, China
Authors: Chen Jingpeng , Wu Xiaohua , Zhao Jichu , Liu Shuai , Zhang Yuqi , Liu Jiutan , Gao Zongjun
Published: February 2024

To elucidate the hydrochemical characteristics, controlling factors, sources and mechanisms of strontium ion enrichment in groundwater in the northwest plain of Shandong Province, China, 88 groundwater samples were collected, including 51 shallow pore groundwater samples, 29 deep pore groundwater samples and 8 karst groundwater samples. The hydrochemical characteristics of the different types of groundwater were quite different. The karst groundwater samples were all fresh water with a single hydrochemical type, either HCO3-Ca or HCO3-Ca·Mg. The deep pore groundwater samples were mainly brackish water, and the shallow pore groundwater samples were brackish water–salt water, which has complex hydrochemical types. The hydrochemical characteristics of all the types of groundwater were controlled by mineral dissolution and active positive cation exchange. In shallow pore groundwater, deep pore groundwater and karst groundwater, the dissolution of silicate, evaporite and carbonate minerals dominated the hydrogeochemical process. The strontium in groundwater was derived from the dissolution of minerals with strontium isomorphism. The average contents of strontium in shallow, deep and karst groundwater were 1.59 mg/L, 0.58 mg/L and 0.50 mg/L, respectively. The strontium in shallow pore groundwater was mainly derived from the enrichment of groundwater runoff, and its sources are abundant, with silicic rock being the main source. The deep pore groundwater mainly derived from the evaporative minerals containing strontium, and the karst water mainly derived from carbonate rock dissolution with similar characteristics.
Prediction Model of Water Abundance of Weakly Cemented Sandstone Aquifer Based on Principal Component Analysis–Back Propagation Neural Network of Grey Correlation Analysis Decision Making
Authors: Kuo Wei , Li Xiaoqin , Zhang Yuguang , Li Wenping , Wang Qiqing , Li Liangning
Published: February 2024

At present, in the vast majority of coal mine production processes in China, the degree of hydrogeological exploration often lags behind geological exploration. The main difficulty in evaluating the water richness of coal seam top and bottom water-bearing beds is that the existing evaluation methods often rely on less hydrogeological investigation data. How to utilize the abundant geological exploration data in the mining area to appraise the water-rich distribution of sandstone aquifers is a feasible and challenging methodology. At present, some experts and scholars have tried to use multivariate factor analysis to solve the problem of water-richness evaluation, and they have achieved certain results, but there are some shortcomings: (1) The prediction results are mostly qualitative estimations of the water-richness grade, and there is a lack of quantitative analysis of the units-inflow; and (2) at present, the more advanced prediction methods, such as the back propagation (BP) neural network model, have the disadvantages of low accuracy, requiring many iterations, and slow convergence speed. Therefore, with geological exploration data of the 1503E working face of the Yili No.1 coal mine as the basis., this paper uses grey correlation analysis to screen out the factor indexes suitable for the evaluation of the water richness of a weakly cemented sandstone aquifer, and it combines principal component analysis (PCA) with a BP neural network. Based on the selected factor indexes, a prediction model of the water richness of a weakly cemented sandstone aquifer is established. The results show that compared with the existing methods, the prediction accuracy is higher and has a certain application value.
Water Quality Inversion of a Typical Rural Small River in Southeastern China Based on UAV Multispectral Imagery: A Comparison of Multiple Machine Learning Algorithms
Authors: Chen Yujie , Yao Ke , Zhu Beibei , Gao Zihao , Xu Jie , Li Yucheng , Hu Yimin , Lin Fei , Zhang Xuesheng
Published: February 2024

Remote sensing technology applications for water quality inversion in large rivers are common. However, their application to medium/small-sized water bodies within rural areas is limited due to the low spatial resolution of remote sensing images. In this work, a typical small rural river was selected, and high-resolution unmanned aerial vehicle (UAV) multispectral images and ground monitoring data of the river were obtained. Then, a comparative analysis of three univariate regression models and nine machine learning models (Ridge Regression (RR), Support Vector Regression (SVR), Grid Search Support Vector Regression (GS-SVR), Random Forest (RF), Grid Search Random Forest (GS-RF), eXtreme Gradient Boosting (XGBoost), Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Catboost Regression (CBR)) for their accuracy in the prediction of turbidity (TUB), total nitrogen (TN), and total phosphorus (TP) was performed. TUB can be achieved by simple statistical regression models. The CBR model exhibited the best performance for the three index inversions on the test set evaluation metrics: R2 (0.90~0.92), RMSE (7.57 × 10−3~1.59 mg/L), MAE (0.01~1.30 mg/L), RPD (3.21~3.56), and NSE (0.84~0.92). The water pollution of the study area was closely related to its land-use pattern, excessive and irrational fertilizer application, and distribution of pollutant outlets.
Seasonal and Monthly Climate Variability in South Korea’s River Basins: Insights from a Multi-Model Ensemble Approach
Authors: Ghafouri-Azar Mona , Lee Sang-Il
Published: February 2024

This study conducts a comprehensive analysis of the impacts of climate change on South Korea’s climate and hydrology, utilizing a Multi-Model Ensemble (MME) approach with thirteen Climate Model Intercomparison Project Phase 5 (CMIP5) models under two Representative Concentration Pathways, RCP4.5 and RCP8.5. We observed an average temperature increase of up to 3.5 °C under RCP8.5 and around 2.0 °C under RCP4.5. Precipitation patterns showed an overall increase, particularly during the summer months, with increases up to 20% under RCP8.5 and 15% under RCP4.5, characterized by more intense and frequent rainfall events. Evapotranspiration rates are projected to rise by approximately 5–10% under RCP8.5 and 3–7% under RCP4.5. Runoff is expected to increase significantly, particularly in the summer and autumn months, with increases up to 25% under RCP8.5 and 18% under RCP4.5. This research focuses on employing the Precipitation Runoff Modeling System (PRMS) to project future streamflow across South Korea, with an emphasis on both monthly and seasonal scales to understand the varying impacts of climate change on different river basins. These climatic changes have profound implications for agriculture, urban water management, and ecosystem sustainability, stressing the need for dynamic and region-specific adaptation measures. This study emphasizes the critical role of localized factors, such as topography, land use, and basin-specific characteristics, in influencing the hydrological cycle under changing climatic conditions.
Spatial and Temporal Variability of Soil Moisture and Its Driving Factors in the Northern Agricultural Regions of China
Authors: Cai Junjie , Zhou Bingting , Chen Shiyan , Wang Xuelin , Yang Shuyun , Cheng Zhiqing , Wang Fengwen , Mei Xueying , Wu Dong
Published: February 2024

Soil moisture, as an important variable affecting water–heat exchange between land and atmosphere, is an important feedback to climate change. Soil moisture is of great concern in Northern China, where arable land is extensive, but water resources are distributed unevenly and extremely sensitive to climate change. Using measured soil moisture data collected by the China Meteorological Administration from 164 stations during 1980–2021, we explored the drivers of soil moisture variation by analyzing its spatiotemporal variability using linear regression, partial correlation analysis, and geostatistical methods. The results indicated that (1) soil moisture increased from northwest to southeast in Northern China, with the lowest soil moisture in the IM; (2) the overall trend of soil moisture in most regions decreased, especially in the arid northwest and northeast China. However, soil moisture in some regions began to increase gradually in recent years, such as in northwestern Xinjiang and the central-eastern part of IM; and (3) soil moisture in the whole region was negatively correlated with temperature and sunshine duration and positively correlated with precipitation and relative humidity. The results of the study can provide valuable guidance for timely agricultural irrigation and the adjustment of cropping structures, thereby ensuring agricultural production and food security.
Quality and Biodegradation Process of Dissolved Organic Carbon in Typical Fresh-Leaf Leachate in the Wuhan Urban Forest Park
Authors: Tian Xiaokang , Li Siyue
Published: February 2024

The study investigated the leaching and biodegradation of dissolved organic carbon in leaf leachates from typical fresh leaves in the Wuhan Urban Forest Park, Central China. The fresh leaf-leached dissolved organic carbon quality and biodegradability, as well as their potential determinants, were examined for 12 major tree species, including deciduous trees and shrubs. A 28-day indoor incubation was conducted at two temperature conditions of 20 °C and 30 °C. Sampling was conducted within the planned time frame for experimental measurements, and a first-order kinetic model for dissolved organic carbon degradation was fitted. The utilization of the fir tree as the predominant deciduous species and cuckoo as the primary shrubs provided advantages in increasing the carbon sequestration capacity of urban forests. There was no significant difference in the degradation rate of the leaching solution at different temperatures, but the k value of the first-order kinetic model was different. At 20 °C, the dissolved organic carbon degradation rate was positively correlated with electrical conductivity and total dissolved nitrogen, while it was negatively correlated with the humification index and ratio of dissolved organic carbon to total dissolved nitrogen. At 30 °C, the degradation rate of dissolved organic carbon showed a positive correlation with total dissolved phosphorus and total dissolved nitrogen, while it was negatively correlated with the humification index, ratio of dissolved organic carbon to total dissolved nitrogen and ratio of dissolved organic carbon to total dissolved phosphorus.
Monitoring of Levee Deformation for Urban Flood Risk Management Using Airborne 3D Point Clouds
Authors: Wang Xianwei , Wang Yidan , Liao Xionghui , Huang Ying , Wang Yuli , Ling Yibo , Chan Ting On
Published: February 2024

In the low-lying, river-rich Pearl River Delta in South China, an extensive network of flood defense levees, spanning over 4400 km, plays a crucial role in urban flood management. These levees are designed to withstand floods and storm surges, yet their failure can lead to significant human and economic losses, highlighting the need for robust urban flood defense strategies. This necessitates the development of a sophisticated geographic information system for the levee network and rapid, accurate assessment methods for levee conditions to support water management and flood mitigation efforts. This study focuses on the levees along the Hengmen waterway in the Pearl River Delta, utilizing airborne Light Detection and Ranging (LiDAR) technology to gather 3D spatial data of the levees. Employing the Cloth Simulation Filter (CSF) algorithm, non-ground point cloud data were extracted. The study improved upon the region-growing algorithm, using a seed point set approach for the automatic extraction of levee point cloud data. The accuracy and completeness of levee extraction were evaluated using the quality index. This method achieved effective extraction of four levee types, showing significant improvements over traditional algorithms, with extraction quality ranging from 72% to 83%. Key research outcomes include the development of a novel method for detecting localized levee depressions based on the computation of the variance of angles between normal vectors in single-phase levee point cloud data. An adaptive optimal neighborhood approach was utilized to accurately determine the normal vectors, effectively representing the local morphology of the levee point clouds. Applied in three levee depression detection experiments, this method proved effective, demonstrating the capability of single-phase data in identifying regions of levee depression deformation. This advancement in levee monitoring technology marks a significant step forward in enhancing urban flood defense capabilities in regions such as the cities of the Pearl River Delta in China.
The Variation in the Water Level of Lake Baikal and Its Relationship with the Inflow and Outflow
Authors: Sinyukovich Valery N. , Georgiadi Aleksandr G. , Groisman Pavel Y. , Borodin Oleg O. , Aslamov Ilya A.
Published: February 2024

Lake Baikal is the largest freshwater lake in the world, accounting for about 20% of the world’s fresh surface water. The lake’s outflow to the ocean occurs only via the Angara River, which has several hydroelectric power plants (HPPs) along its watercourse. The first such HPP, Irkutsk HPP, was built in 1956 and is located 60 km from the Angara River’s source. After two years, the backwater from this HPP expanded to the lake shores and began raising the Baikal Lake level. Currently, there is a dynamic balance between the new lake level, the lake inflow from its tributaries, and the Angara River discharge through the Irkutsk HPP. However, both the Angara River discharge and the Baikal Lake level were distorted by the HPP construction. Thus, to understand the changes to the lake basin over the past century, we first needed to estimate naturalized lake levels that would be if no HPP was ever built. This was an important task that allowed (a) the actual impact of global changes on the regional hydrological processes to be estimated and (b) better management of the HPP itself to be provided through future changes. With these objectives in mind, we accumulated multi-year data on the observed levels of Lake Baikal, and components of its water budget (discharge of main tributaries and the Angara River, precipitation, and evaporation). Thereafter, we assessed the temporal patterns and degree of coupling of multi-year and intra-annual changes in the lake’s monthly, seasonal, and annual characteristics. The reconstruction of the average monthly levels of Lake Baikal and the Angara River water discharge after the construction of the Irkutsk HPP was based on the relationship of the fluctuations with the components of the Lake water budget before regulation. As a result, 123-year time series of “conditionally natural” levels of Lake Baikal and the Angara River discharge were reconstructed and statistically analyzed. Our results indicated high inertia in the fluctuations in the lake level. Additionally, we found a century-long tendency of increases in the lake level of about 15 cm per 100 years, and we quantified the low-frequency changes in Lake Baikal’s water levels, the discharge of the Angara River, and the main lake tributaries. An assessment of the impact of the Irkutsk HPP on the multi-year and intra-annual changes in the Lake Baikal water level and the Angara River discharge showed that the restrictions on the discharge through the HPP and the legislative limitations of the Lake Baikal level regime have considerably limited the fluctuations in the lake level. These fluctuations can lead to regulation violations and adverse regimes during low-water or high-water periods.
Representing Hourly Energy Prices in a Large-Scale Monthly Water System Model
Authors: Dogan Mustafa Sahin , White Ellie , Yao Yiqing , Lund Jay R.
Published: February 2024

Water system management models represent different purposes, such as water supply, flood control, recreation, and hydropower. When building large-scale system models to represent these diverse objectives, their most appropriate time steps for each purpose often do not coincide. A monthly time step is usually sufficient for water supply modeling, but it can be too coarse for flood control, hydropower, and energy operations, where hourly time steps are preferred. Large-scale water management and planning models mostly employ monthly time steps, but using monthly average energy prices underestimates hydropower revenue and overestimates pumping energy cost because these plants tend to operate during times with above- or below-average energy prices within any month. The approach developed here uses hourly varying prices depending on the percent of monthly operating hours. This paper examines an approach that approximately incorporates hourly energy price variations for hydropower and pumping into large-scale monthly time-step water system model operations without affecting water delivery results. Results from including hourly varying energy prices in a large-scale monthly water supply model of California (CALVIN) are presented. CALVIN is a hydroeconomic linear programming optimization model that allocates water to agricultural and urban users with an objective to minimize total scarcity costs, operating costs, and hydropower revenue loss. Thirteen hydropower plants are modeled with hourly varying prices, and their revenue increased by 25 to 58% compared to revenue calculated with monthly average constant energy prices. Hydropower revenue improvements are greater in critically dry years. For pumping plants modeled with hourly varying prices, the energy use cost decreased by 10 to 59%. This study improves system representation and results for large-scale modeling.
Revisão sistemática sobre a cognição social em musicoterapia: perspectivas e relações
Authors: Moriá Ivan , Sampaio Renato Tocantins
Published: February 2024

There is a constant investigation in the literature about deficits in social cognition (SC) in people with schizophrenia (Green et al., 2008). In a music therapy session (MT), it is possible to notice numerous musical and extramusical phenomena that emerge through coactive musical prac-tice, which can be related to the domains of SC. In searching for a be�er understanding of SC in MT, this article proposes a systematic review to identify studies on this relationship. Studies related to the neuroscience of music can contribute to the understanding of SC domains, creat-ing bridges between neurophysiological domains related to emotions, social behavior, and so-cial cognition stimulated through music. This study aims to establish a relationship between coactive musical practices in MT with SC to promote, in future research, the development of an evaluation protocol to identify and evaluate these extramusical phenomena systematically.
O canto como uma alternativa para a manutenção da saúde física e mental em tempos de distanciamento social
Authors: Jaber Maíra dos Santos
Published: February 2024

As humanity faced the new coronavirus pandemic, a rather peculiar musical phenomenon gained notoriety. Italian citizens broke the silence of confinement from their balconies and joined their neighbors to sing from a distance. The phenomenon became known as balcony singing and quickly spread around the world. What is so special about singing that makes it able to connect people and help them remain optimistic in such challenging times? This is the question I want to answer. This study aims to discuss the reactions that singing can provoke in the individual and what these reactions teach us about the role it can play in maintaining physical and mental health in times of social distancing. To collect data on the effects of par-ticipation in singing activities during the pandemic, questionnaires were applied to 31 partic-ipants of distance singing or choral singing classes. The results of this research are consistent with the reviewed studies and suggest that singing can be an alternative for maintaining physical and mental health in times of social distancing, bringing several positive effects to the individual's well-being.
Robo-Advisory in India: The Upcoming Game Changer in Indian Financial Markets
Authors: Gohil Mr. Mihir , Shetty Mr. Akhil , Akre Mr. Sandesh
Published: February 2024

A Robo-Advisor is a digital platform that provides financial planning services which is automated and algorithm-driven and it has little or no supervision of a human. Globally the robo-advisory fintech service is expected to grow at a CAGR of 53.54% from 2020 to 2025. The primary advantage of robo-advisors is that the costs are very low (0.2%-0.5%) compared to traditional advisors (around 1%-2%). Another advantage is their 24x7 accessibility since it is on a digital platform. The clients can execute the trades by pressing a few buttons rather than calling the advisor, explaining the needs and the returns. The third advantage is there is no minimum client investment needed in robo-advisors since traditional advisors require minimum ticket size of atleast Rupees 2.5 Lakhs. With increased penetration of the internet in the country, faster growing population with expected share of more than 33% of the millennials and the youth in total population, shifting perspective of Indian investors from fixed deposits to mutual funds and equities, and growing acceptance of FinTech services, Robo-advisors are the perfect game changers in the Indian investment scenario in the next 20 years.
PENGARUH MOTIVASI DAN MINAT TERHADAP KEBERHASILAN USAHA MELALUI KEMAMPUAN BERWIRAUSAHA PADA MAHASISWA PESERTA WMK UNIVERSITAS PADJADJARAN
Authors: Sukarno Husein Faryuki , Rasmini Mas
Published: February 2024

The main challenges in the growth of entrepreneurship in Indonesia lie in the low motivation and interest of the community, stemming from uncertainty about business success, lack of access to resources, and reluctance to take potentially inhibiting risks in the entrepreneurial ecosystem. Limited capabilities and knowledge in entrepreneurship also pose significant barriers to the growth of the number of entrepreneurs in Indonesia. Some individuals may lack sufficient knowledge about practical steps to start and run businesses, such as business planning, financial management, or marketing strategies. This research focuses on measuring the influence of interest and motivation on business success through entrepreneurial capabilities. The method employed in this research is quantitative, utilizing data collection techniques involving questionnaires and interviews. The data analysis technique used is square equation modeling (SEM). The study concludes that motivation and interest significantly impact business success, with entrepreneurial capabilities serving as a mediating variable.

Key words: Motivation, Interest, Entrepreneurial Capabilities, Sustainability
Temporal Shift Module with Pretrained Representations for Speech Emotion Recognition
Authors: Shen Siyuan , Liu Feng , Wang Hanyang , Wang Yunlong , Zhou Aimin
Published: February 2024

Recent advances in self-supervised models have led to effective pretrained speech representations in downstream speech emotion recognition tasks. However, previous research has primarily focused on exploiting pretrained representations by simply adding a linear head on top of the pretrained model, while overlooking the design of the downstream network. In this paper, we propose a temporal shift module with pretrained representations to integrate channel-wise information without introducing additional parameters or floating-point operations per second. By incorporating the temporal shift module, we developed corresponding shift variants for 3 baseline building blocks: ShiftCNN, ShiftLSTM, and Shiftformer. Furthermore, we propose 2 technical strategies, placement and proportion of shift, to balance the trade-off between mingling and misalignment. Our family of temporal shift models outperforms state-of-the-art methods on the benchmark Interactive Emotional Dyadic Motion Capture dataset in fine-tuning and feature-extraction scenarios. In addition, through comprehensive experiments using wav2vec 2.0 and Hidden-Unit Bidirectional Encoder Representations from Transformers representations, we identified the behavior of the temporal shift module in downstream models, which may serve as an empirical guideline for future exploration of channel-wise shift and downstream network design.
Universal and High-Fidelity Resolution Extending for Fluorescence Microscopy Using a Single-Training Physics-Informed Sparse Neural Network
Authors: Ye Zitong , Huang Yuran , Zhang Jinfeng , Chen Yunbo , Ye Hanchu , Ji Cheng , Jin Luhong , Gan Yanhong , Sun Yile , Tao Wenli , Han Yubing , Liu Xu , Chen Youhua , Kuang Cuifang , Liu Wenjie
Published: February 2024

As a supplement to optical super-resolution microscopy techniques, computational super-resolution methods have demonstrated remarkable results in alleviating the spatiotemporal imaging trade-off. However, they commonly suffer from low structural fidelity and universality. Therefore, we herein propose a deep-physics-informed sparsity framework designed holistically to synergize the strengths of physical imaging models (image blurring processes), prior knowledge (continuity and sparsity constraints), a back-end optimization algorithm (image deblurring), and deep learning (an unsupervised neural network). Owing to the utilization of a multipronged learning strategy, the trained network can be applied to a variety of imaging modalities and samples to enhance the physical resolution by a factor of at least 1.67 without requiring additional training or parameter tuning. Given the advantages of high accessibility and universality, the proposed deep-physics-informed sparsity method will considerably enhance existing optical and computational imaging techniques and have a wide range of applications in biomedical research.
Sex-Specific and State-Dependent Neuromodulation Regulates Male and Female Locomotion and Sexual Behaviors
Authors: Jiang Xinyu , Sun Mengshi , Chen Jie , Pan Yufeng
Published: February 2024

Males and females display dimorphic behaviors that often involve sex-specific locomotor patterns. How the sexually dimorphic locomotion is mediated is poorly understood. In this study, we identify a neuropeptide that oppositely regulates locomotion for efficient sexual behaviors in
Drosophila
males and females. We find that males are less active than females if isolated. However, when sexually aroused through activating homologous but sexually dimorphic pC1 neurons, males exhibit higher activity levels than females. We discover diuretic hormone 44 (DH44) that functions in pC1 neurons in a sex-specific way to inhibit male locomotion and promote female locomotion. Surprisingly, DH44 exerts opposite effects in sexually aroused flies to promote male locomotion and suppress female locomotion, which is crucial for successful male courtship and female receptivity. These findings demonstrate sexually dimorphic and state-dependent control of locomotor activity by pC1 neuronal activity and DH44 modulation.
ESTIMASI RISIKO PASAR PADA DATA RETURN KURS HARIAN DENGAN VALUE AT RISK MENGGUNAKAN MODEL–MODEL VOLATILITAS GARCH
Authors: Purnama Cateryna
Published: February 2024

Volatility is a critical tool in analyzing financial data. GARCH models are common tools widely use to forecast financial data volatility. This research discusses the measurement of market risk using the Value at Risk volatility model GARCH, IGARCH, and EGARCH for the USD major currency pairs which consist of seven currency pairs with the observation period July 2016 – September 2022. The results of the analysis show that the calculation of returns does not comply with the normal distribution, so the estimation of losses using the normal distribution VaR can be biased, instead this research used student’s t distribution error. The test results show that the IGARCH volatility model at a confidence level of 99% and 95% proves to be valid after the Kupiec test and Conditional Coverage Test are carried out on all tested currencies. Meanwhile, risk measurement using the EGARCH model is invalid on the EUR/USD, USD/CHF and AUD/USD exchange rates. Besides that, risk measurement using the SGARCH model is invalid on the EUR/USD and AUD/USD exchange rates.
BRAND EQUITY, CUSTOMER SATISFACTION, DAN PURCHASE INTENTION: ANALISIS PADA FRANCHISE F&B ASING
Authors: Angela Angela , Kesumahati Erilia
Published: February 2024

The research in this article examines the factors that influence Purchase Intention in foreign F&B franchises using Service Quality and Digital Marketing variables mediated by Customer Satisfaction and Brand Equity. The study uses primary data collected through distributing questionnaires in the form of a Google Form to urban residents who have visited foreign F&B franchises in Batam City, which is then analyzed with secondary data. A total of 326 data from respondents who met the criteria were used and analyzed using the SmartPLS program. The results of the study show that Service Quality, Customer Satisfaction, Brand Equity, and Digital Marketing have a significant positive effect on Purchase Intention. This research shows that the importance of Service Quality, Customer Satisfaction, Brand Equity, and Digital Marketing in increasing Purchase Intention of F&B Franchise in Batam City.
Policy Innovation of The Cikolelet Village Government in Developing the Village into a Tourism Village
Authors: Rahmawati Rahmawati , Purnaweni Hartuti , Warsono Hardi , Yuniningsih Tri
Published: February 2024

Policy innovations made by the Cikolelet Village Government to become a tourist village and various village development efforts are efforts to overcome various problems faced by the village government and the community. The policy innovation is to change from underdeveloped villages to developing and advanced villages in 2021 according to the Village Development Index indicators. In 2017 Cikolelet Village was designated as the first tourist village in Serang Regency.  Policy innovation is a major part of the transformation process or creating irreversible transformations based on a set of new order principles. Indicators of policy innovation, namely the creation stage, design stage and implementation stage according to Robert and King, are used as an analysis knife as well as innovation attributes according to Rogers to complete the description of Cikolelet Village Government's policy innovation in developing tourist villages.  The research method used is qualitative with a case study approach. Key informants consisted of the Cikolelet village head, Pokdarwis head Anindya Pramita, Bumdes director and Cikolelet village officials. Data analysis used source triangulation according to Miles and Huberman. The results showed that the innovation of tourism village development policies in Cikolelet Village has run optimally, marked by the achievement of the 2021 ADWI award as the Most Favorite Tourism Village and encouraging other tourism villages in Serang Regency to adopt Cikolelet Village's tourism development policy innovations.
Financial Technology: MSME Capability To Connect In The Digital Ecosystem In The Field Of Finance (Case Study in Rokan Hilir Regency)
Authors: Mubarak Husni
Published: February 2024

This study aims to determine the financial knowledge capabilities of UMKM actors and digital payment systems that are often used by UMKM actors in Rokan hilir District in running their business. Data collection techniques were carried out using surveys and observations. The research population is all UMKM actors in Rokan hilir Regency. This study used a probability sampling design with a simple random sampling method of 238 people. Based on the results of the research that has been done, it can be concluded that there are still many UMKM actors who only have basic financial knowledge skills, which are 35%. UMKM actors use Mobile Banking the most to run their business, which is 78%, while the least is using SMS Banking at 7%.
‘We’re Going to Make You into a Proper Woman’: Postfeminist Gender Performativity and the Supernatural in Penny Dreadful (2014-2016)
Authors: Pedro Dina
Published: February 2024

Neo-Victorian Gothic fiction exploits the supernatural to achieve social and sexual emancipation for women, shaping the narrative into what Esther Saxey defines as the ‘liberation plot’ (2010). John Logan’s Penny Dreadful (2014-2016) explores how female characters transgress heteronormative gender roles with the assistance of supernatural forces. My main aim is to show how the series fails to grant the female protagonists a sense of feminist liberation, punishing them instead for their subversion of socially imposed gender acts. In applying Saxey’s (2010) and other supplementary approaches to gender emancipation, I analyse the female characters’ failed attempt at achieving it by unleashing their supernatural doubles. In doing so, I show that—in spite of Penny Dreadful’s apparent advocacy for female emancipation—its misogynistic vilification of vindictive women can be understood as part of the show’s postfeminist context of production.
English Literary Studies in Sweden 1950-2019: Doctoral Research Projects and Disciplinary Renewal
Authors: Hansson Heidi
Published: February 2024

The focus of doctoral research is of great significance for the development of an academic discipline and the potential for innovation. A significant number of PhD graduates however expect to be employed as university teachers, and the correlation between competence needs as suggested by the undergraduate curriculum and PhD research appears to be weak. Based on library catalogue data and digital archives, this study investigates interrelations between the initial research orientation of individual scholars and the development of English as a university subject in Sweden. Dissertation topics 1950-1999 indicate a gradual shift from a dominance of linguistics in the earlier decades to a dominance of literary studies towards the end of the period. Dissertations in the field of English-language literature between 2000 and 2019 demonstrate a growing interest in literatures outside England and the United States, a predominance of studies of prose and a move towards contextual modes of criticism centred on social or political theories. Studies of modern or contemporary literature dominate greatly whereas there are few dissertations on older literature. Undergraduate course plans and literature lists for 2020 from the major research universities show a strong connection between first-term literature courses and current research, as indicated by the topics of PhD dissertations from the first two decades of the twenty-first century. The teaching of older literature is not supported by new research to the same extent, however, which means that it may become increasingly difficult to ensure the close links between research and study programmes stipulated in the Swedish Higher Education Act (1992:1434).
A megtartó szeretettel kísért rendkívüli életút : A palavesszőtől a virtuális világig (Dr. Tassy Istvánné Dr. Mészáros Olga gránit diplomás pedagógusra emlékezünk)
Authors: Varga László
Published: February 2024

Dr. Tassy Istvánné dr. Mészáros Olga tanári diplomáját a – Trianon okán akkor Szegeden működő – kolozsvári m. kir. Ferencz József Tudományegyetemen, földrajz-természetrajz szakon szerezte 1937-ben. Professzorai a kor jeles tudósai voltak, kortársai közül is többen a tudomány neves képviselői lettek. Mészáros Olga földrajzból doktorált 1938-ban. A bécsi döntést követően, 1940-ben szüleivel hazaköltöztek Erdélybe, s ott, az ugyancsak Kolozsvárra visszatelepülő egyetemen, tanársegédként folytatta a munkát. A háború, a családi és hadi helyzet hamarosan az Erdélyből való menekülést hozta el számukra. Nagyon nehéz idők után Sopronban telepedtek le, de könnyű idők ezután sem következtek. Az ifjú tanár 1956-ban kezdett tanítani, először egy közeli faluban, majd Sopron egyik általános iskolájában, végül a soproni Felsőfokú Óvónőképző Intézetben egészen nyugdíjazásáig.
Pengelolaan Kelas pada Mata Pelajaran Pendidikan Agama Islam di SMA Al-Kholidiyah Teluk Jambe
Authors: Erma Januarsih Nina , Nurlela Nurlela , Selawati Selawati , Syaefi Abdurahman Rizal syaefi abdurahman , Karnia Nia
Published: February 2024

Penelitian ini bertolak dari adanya masalah dalam pengelolaan kelas di SMA Al-Kholidiyah Teluk Jambe seperti ada anak yang tidur pas jam pelajaran, memainkan HandPhone pada saat jam pelajaran, dan kondisi ruangan kelas yang sangat panas, oleh karena itu peneliti ingin mengetahui bagaimana pengelolaan kelas pada mata pelajaran Pendidikan Agama Islam di SMA Al-Kholidiyah Teluk Jambe. Penelitian ini menggunakan pendekatan kualitatif deksriptif, subjek penelitian guru Pendidikan Agama Islam. Teknik pengumpulan data yang digunakan adalah dengan wawancara, observasi, dan dokumentasi dengan metode analisis data, penyajian data dan menarik kesimpulan.

Hasil dari penelitian ini menunjukan bahwa 1. Perencanaan pengelolaan kelas ada beberapa yaitu mempersiapkan peraturan kelas, mempersiapkan kegiatan pembelajaran dengan menyiapkan absen, buku penilaian siswa, dan buku LKS siswa, 2. Pelaksanaan pengelolaan kelas bersifat fisik dimana ruang kelas tempat berlangsungnya pembelajaran sudah luas dan besar akan tetapi ruangan yang panas disebabkan oleh plafon terlalu rendah, pengaturan tenpat duduk berbaris berjajar, ventilasi dan pencahayaan yang sudah cukup. Pengelolaan bersifat non fisik tipe kepemimpinan guru , sikap guru dalam menghadapi siswa yang melanggar yaitu sabar, memberikan teguran dan memberikan nasihat agar tidak melanggar lagi. Suaru guru PAI juga sudah jelas terdengar. 3. Usaha pencegahan dalam mengatasi masalah pengelolaan kelas yaitu menunjukan  sikap tanggap, memperhatikan semua siswa, dan menegur apabila ada yang melanggar, 4. Usaha penyembuhan dalam mengatasi masalah pengelolaan kelas yaitu menegur, memberi nasihat, dan memberi hukuman.
Implementasi Pengelolaan Kelas dalam Pembelajaran PAI di Kelas V SD Negeri Duren IV Klari
Authors: Widhyanti Altobelli Trapsilo Sheva Rizky , Wibowo Alsalim Satrio , Mulia Vina
Published: February 2024

Pembahasan tentang pendidikan tidak pernah jauh jauh dari seorang guru. Guru adalah sebutan bagi mereka para pendidik yang mengajar di sekolah. Guru merupakan profesi untuk mengajar, melatih, membimbing, mengarahkan, menilai, dan mengevaluasi para siswa di pendidikan formal seperti di SD, SMP, SMA dan sekolah pendidikan formal lainnya. Sehingga dalam hal ini kita tahu bahwa tugas guru memiliki andil yang cukup besar dalam menyukseskan sebuah pembelajaran. Dalam penyuksesan sebuah pembelajaran di kelas, seorang guru harus mampu mengkoordinir, mengelola, dan mengatur kelas sehingga kelas yang dipakai menjadi nyaman untuk kegiatan belajar mengajar. Tujuan dari laporan observasi ini untuk mengetahui dan memahami bagaimana bentuk pengelolaan kelas di kelas V SDN DUREN IV KLARI. Metode yang digunakan dalam hal penelitian ini dengan metode kualitatif dengan teknik pengumpulan datanya menggunakan observasi, wawancara, dan dokumentasi. Hasil dari laporan ini berupa informasi mengenai bagaiman pengelolan kelas di kelas V SDN DUREN IV KLARI.
Phacoemulsification combined with High-Frequency Deep Sclerotomy (HDFS) in Primary Open Angle Glaucoma Patients in DR. Achmad Mochtar Bukittinggi Hospital
Authors: YUSARDI ROMI
Published: February 2024

Introduction & ObjectivesGlaucoma is the leading cause of irreversible blindness. Phacoemulsification-trabeculectomycombined procedure is performed for cataract and glaucoma patients. High-Frequency DeepSclerotomy is a minimally invasive surgical technique to control IOP in POAG. The study aims toinvestigate whether IOP can be significantly reduced by phacoemulsification-HDFS combinedprocedure.

MethodsData were collected from August 2022 to March 2023 in this retrospective non-randomized study. Atotal of 20 eyes patient had undergone phacoemulsification combined with High-Frequency DeepSclerotomy (HDFS). Intraocular pressure (IOP) was measured before and after surgery on the firstday, 1, 2, 3 weeks, and 1st month postoperatively.

ResultsAfter performing phacoemulsification combined with HDFS, the IOP was reduced from 29,87 mmHgto 16,67 mmHg, which is highly significant (p< 0,001). Mild hyphema is present in 1 (5%) case afterthe procedure.

ConclusionHDFS combined with phacoemulsification is a potent surgical method that significantly reduces theIOP