bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Perseverance as a Psychological Resource for Overcoming Acculturative Difficulties on Academic Satisfaction Among Chinese International Students
Authors:   The Association of Korea Counseling Psychology Education Welfare, WANG Jun , CHI Myong-Won
Published: November 2024

This study analyzes the impact of acculturative difficulties experienced by Chinese international students in Korea on their academic satisfaction and examines the mediating role of perseverance in this relationship. A survey targeting 450 Chinese international students currently residing in Korea was conducted, followed by multiple regression and mediation effect analyses. The results showed that acculturative difficulties negatively affected academic satisfaction, while perseverance had a positive effect on academic satisfaction. Moreover, perseverance significantly mediated the relationship between acculturative difficulties and academic satisfaction, suggesting that perseverance serves as an important psychological resource for overcoming adaptation challenges. These findings provide foundational data for improving the academic adaptation and satisfaction of Chinese international students and suggest practical measures, including mentoring programs, counseling services, and social support, to facilitate their successful adjustment.
The Influence of Role Loss and Self-esteem on Depression in the Elderly: A Moderated Mediating Effect of Social Support
Authors:   The Association of Korea Counseling Psychology Education Welfare, SEO Young-Seon , LEE A-Ra
Published: November 2024

This study examined the mediating effect of self-esteem in the relationship between role loss and depression in the elderly and conducted the moderated mediating model analysis to verified the moderated mediating effect of social support on self-esteem and depression. Data were collected from 305 elderly people aged 65 or older through an online survey company. Results of this study were as follows. First, the mediating effect of self-esteem was significant on the effect of role loss on depression. Second, the moderating effect of social support was significant on the effect of self-esteem on depression. Third, the mediating effect of self-esteem was significant and the moderated mediating effect of social support on the relationship between role loss, self-esteem and depression was significant. Results of this study are meaningful in that they provide specific evidence for psychotherapy intervention for the elderly experiencing depression due to role loss.
The genotype and phenotype correlation of Prader-Willi syndrome
Authors: Dai Yang-Li , Qin Yi-Fang , Chao Yun-Qi , Hu Chen-Xi , Xia Fang-Ling , Zou Chao-Chun
Published: November 2024

Prader-Willi syndrome (PWS) is a multifaceted congenital disorder resulting from the absence of paternally imprinted genes on chromosome 15q11.2-q13.1. Its clinical features vary with age, initially presenting as severe hypotonia and feeding difficulties in infancy, followed by hyperphagia in early childhood, ultimately leading to significant obesity. According to the underlying mechanism, the PWSs are divided into three main types. The deletion type with only one maternal copy accounts for 65%-75% of patients and may be divided into subtypes I to IV. Maternal uniparental disomy (mUPD) has two maternal copies, accounting for 20%-30% of patients, and is divided into the isodisomy subtype and heterodisomy subtype. Imprinting defects account for less than 5% of patients and are divided into epimutation and imprinting center deletions. The genotype-phenotype correlation has recently been investigated. Differences in the frequency and severity of specific features among various genotypes, particularly between deletion and mUPD types, have been reported. Herein, we reviewed the current literature and evidence on the genotype-phenotype correlation in PWS, which may help us to understand the mechanism and reasonable management of PWS.
Repository of SPSTL SB RAS Research Data
Authors: Kalyuzhnaya T. A. , Pleshakova M. A.
Published: November 2024

The initial data accumulated in the course of research activities is a valuable resource that can become the basis for further study, reinterpretation, revision of results, combining or comparing with other sets of comparable data in a specific field of knowledge, conducting meta-analysis, etc. Providing this data to open scientific access makes it possible to increase the visibility of research results. The article focuses on the form of organization of the initial research data: an online repository. The purpose of the article is to present the repository of the scientific library as an information system providing open access to the original research data for their promotion in the scientific information space. The analysis of domestic and foreign publications on the topic “Research Data Repository” (RID) has shown that there are not enough domestic works on this issue yet, although the range of problems considered by specialists is rather wide: from theoretical understanding of various aspects of the study of RID to the description of practical experience. Foreign publications are marked by a higher level of generalization and theorization of practical experience. The presence of l some Russian repositories of research data on the Internet and their small number registered in the Registry re3data.org suggest that this is a fairly new phenomenon for Russia or not widely spread. The creation of a repository of initial research data at the State Scientific Research Institute of the Siberian Branch of the Russian Academy of Sciences is one example of the movement towards openness of data sets: it will allow specialists, experts and reviewers to place, store and provide access to the initial data sets to verify the findings.
Módulo autobloqueante para el cambio automático de herramientas
Authors: Sánchez López Carlos , Castillo Rojo Andrea Yoselin , García Castañón Alejandra Ibeth , Reyes Ramírez Juan Gabriel , Martínez Prieto José de Jesús
Published: November 2024

Los dispositivos de cambio automático de herramientas (CAH) son componentes esenciales en diversas industrias, particularmente en los procesos de fabricación con manufactura de alta tecnología. La presente investigación tiene como objetivo facilitar el cambio automático de herramientas en máquinas que permitan dos o más procesos de fabricación conocidas como máquinas híbridas. Se analizaron dispositivos de almacenamiento y cambio automático de herramientas en máquinas de control numérico y en impresoras 3D. Se evaluaron los procesos de mecanizado CNC, la impresión 3D, el grabado con láser, el plóter de corte y el plóter de dibujo. Se consideró también la similitud de la cinemática en el cambio de herramientas a través del tipo de los elementos de unión. Tomando como variables de diseño la geometría y las dimensiones generales de cada una de las herramientas de los procesos seleccionados, se logró que los diversos portaherramientas se puedan colocar en un mismo dispositivo de sujeción. Como resultado, se obtuvo la propuesta de un módulo autobloqueante que permite la carga y descarga de herramientas que se utilizan en los procesos previamente citados. El módulo permite prescindir de un actuador para la sujeción y liberación de las herramientas, aunque por el momento está en etapa de prueba para herramientas de bajo peso.
STRATEGI PEMBELAJARAN VOKAL ANAK SECARA DARING DI PURWACARAKA MUSIC STUDIO BUARAN
Authors: Septini Roida , Lucy Martiati
Published: November 2024

At the end of 2019, a new virus was discovered from the city of Wuhan, China. The virus is called coronavirus or commonly known as COVID-19. The closure of educational institutions was something that often happens during the COVID-19 pandemic which aims to avoid the spread of the virus in many countries including Indonesia. Purwacaraka Music Studio (PCMS) Buaran is one of non-formal course institution that changed learning method from in-person learning to online learning, because of the pandemic. The purpose of this study is to perceive the online learning strategy for children aged 7-11 years in vocal class during the COVID-19 pandemic at Purwacaraka Music Studio Buaran. This research used descriptive qualitative method, by using data collection techniques through observation, interviews, and documentation. The outcome of the research states there is a development of children's abilities and interests in vocal learning, this development is caused by new teaching strategy that have been implemented by teachers. The strategy is the lecture method with a brief explanation of the song material that has been adjusted carefully to the abilities of each student. As well as a demonstration method where students are given various vocalizing accompaniments and song material made and recorded by the teacher. This research shows that quality teacher preparation gives an positive impact on learning outcomes in online classes.
LEARNING PRE-PRODUCTION MUSIC THROUGH MODERN MUSIC STUDENTDAY ACTIVITIES IN SMA PLUS PGRI CIBINONG
Authors: Kusumah Satria Manggala
Published: November 2024

Abstract: The aim of the study is to gather more in-depth data about how Learning Music Production through "Modern Music StudentDay" Activities in SMA Plus PGRI Cibinong. The method used in this study is a qualitative research method by using descriptive qualitative. The result of the study from learning music production through "Modern Music StudentDay" activities in SMA Plus PGRI Cibinong viewed from the pre-production stage is the process of creating songs,. There is a learning component to support the learning process of music production in terms of pre-production, namely the existence of objectives, materials, methods, media and evaluation of learning. The learning material is; (1) Make determine the theme of the song; (2) Create song lyrics; (3) Create a melodic riff for a song. These material is to prepare for the music recording stage later on. The learning method used is lecture method, demonstration method and discussion method. Learning evaluation, educators do not carry out learning evaluations in the form of assessing the results of student learning outcomes data which is carried out systematically and continuously.
Learning The Art of Music With Pianica Media For Deaf Students
Authors: Manurung Elvita Turema , Ichwan Clemy Ikasari , Hermawati Sri
Published: November 2024

Abstract: The purpose for this research is for knowing the learning of music with piano media for deaf students at SDLB/B Pangudi Luhur. When the research was carried out from November to December 2020 offline. The object of this study is learning the art of music with piano media at SDLB/B Pangudi Luhur. The research method used in this research is descriptive qualitative. Data collection through observation, interviews with sources and experts, as well as written sources. In addition, the data analysis technique used in this study was by making notes on field results that had been carried out, making interview transcripts. Doing triangulation by re-examining the results of data analysis from data collection in the form of observations, interviews. The results of this study are that through learning the art of music with piano media, deaf students at SDLB/B Pangudi Luhur succeeded in playing a song "Ambikan Bulan Bu" using the Maternal Reflective Method (MMR) and the Demonstration Method. The two methods are used interchangeably by the teacher to get the desired learning outcomes.
Keywords: Learning, Pianica, Special Needs, Deaf
The Rhytmic Pattern of Tifa in Cakalele Dance
Authors: Giovan Jeremy
Published: November 2024

ABSTRACT
Jeremy Giovan. 2020. The Rhythmic Pattern of Tifa in Cakalele Dance. Research. Department of Music Education, Faculty of Language and Art, Jakarta State University.
            The Aim of The Study was to find out the rhythmic pattern of tifa in Cakalele Dance and to write the rhythmic patterns’ notation and to document in the form of scientific papers.. The Research Method used to compile this research is the descriptive qualitative research method which explains the research object based on interview results, literature study, and video observation. This research was conducted on July 2018 until January 2020 in Jakarta and Bogor. The Study Result proves that the rhythmic pattern of tifa in Cakalele Dance has a very important role to organize the show course where tifa is the main instrument and the most important compared to the other instruments. There is one basic rhythmic pattern as a guide to accompany The Cakalele Dance, but as time goes along with human’s creativity then new rhythmic patterns were created as the variation of the basic rhythmic pattern itself. The rhythmic pattern of tifa in accompanying The Cakalele Dance tend to be constant and stabile, so there will not be any changes of rhythmic pattern during the show. The probability of rhythmic pattern change will only happen if there is a pause in the show course. The Implicationof this research is the documentation of the rhythmic patterns’ notation of tifa which adjusted according to the hit shape as a learning and preservation source for general public especially artists and academicians who wanted to learn about the knowledge.
Keywords: Rhythmic Pattern, Tifa, Accompaniment Music, Cakalele Dance.
Integrating transitional-flow signatures into hybrid event beds: implications for hybrid-flow evolution on a submarine lobe fringe
Authors: Łapcik Piotr , Baas Jaco H.
Published: November 2024

Alongside turbidites and debrites, hybrid event beds are now recognized as a common occurrence in deep-marine environments. Yet, many variations in the standard H1–H5 facies model of Haughton et al. (2009, Marine and Petroleum Geology, v. 26, p. 1900–1918) have been described since its introduction, with the role of transient-turbulent flows, i.e., flows that are transitional between fully turbulent turbidity currents and fully laminar debris flows, being particularly enigmatic.

Based on a comprehensive dataset collected from the lobe fringe and distal fringe of a submarine fan (Silurian Aberystwyth Grits Group and Borth Mudstone Formation, West Wales, U.K.), transitional-flow signatures were integrated into the standard hybrid-event-bed model. These signatures include muddy sandstones and sandy mudstones with large ripples (formed by turbulence-enhanced transitional flows), low-amplitude bed waves and heterolithic lamination (formed by turbulence-attenuated transitional flows), and banding (formed by turbulence-enhanced to turbulence-attenuated transitional flows).

The field data reveal that: a) H1 divisions are generated by turbulent flows that form not only massive, structureless facies but also plane-parallel-laminated and ripple-cross-laminated facies, b) H2 divisions are formed by transitional flows that form banded facies, but also facies with large ripples and low-amplitude bed waves, as well as heterolithic facies, c) H3 divisions are formed by laminar debris flows of varied rheology, d) H4 divisions can form from both tractional turbulent and transitional flows, and e) H5 divisions can be hemipelagic, deposited from the dilute tail of the flow or originate from cohesive freezing of a late-stage muddy debris flow.

Based on embedded Markov-chain analysis, the vertical stacking of facies in the five principal hybrid-event-bed divisions suggests a transformation from turbidity current via transitional flow to debris flow (H1 to H3), followed by a repetition of this transformation in the H4 and H5 divisions, but in overall finer-grained sediment. In addition to this complete extended facies model for hybrid event beds, three incomplete bed types could be defined: turbulent-flow-prone, transitional-flow-prone with an H3 division, and transitional-flow-prone without an H3 division.

The sedimentary successions in the study area reveal a basinward change from predominantly turbidites and turbulent-flow-prone hybrid event beds via a mixture of turbulent-flow and transitional-flow signatures in hybrid events beds to H3-missing hybrid event beds with transitional-flow and muddy-debrite signatures. Hence, sediment gravity flows became increasingly muddy and cohesive from lobe fringe to lobe distal fringe.
Acid Fracturing Design Modifications with the Development of a Tight Deep Carbonate Reservoir
Authors: Kydyrgazy A. , Yessaliyeva-Gozukara A. , Schomaker S. , Bibolova A. , Issayev D. , Azhigaliyeva A. , Berdibekov A. , Manakhayev R. , Tlepbergenov N. , Fan Yong , Slobozhaninov A. , Kruglov R.
Published: November 2024

Acid fracturing is a widely accepted technique to enhance production for carbonate reservoirs. This has been considered suitable for Tengiz Unit 2 reservoir development, which is characterized by tight matrix quality and low level of natural fracturing. Given the recent initiation of multi-stage acid fracturing in the development of Unit 2 (U2), it is essential to quickly integrate the most effective operational strategies and the latest data on reservoir characterization into the planning of upcoming operations.

The methodology involved formulating the stimulation plan by integrating open hole logging data from Unit 2 intervals, considering relatively higher water-cut production from new wells, and utilizing acid fracturing simulations informed by existing geomechanical rock properties. This approach aimed to determine the ideal treatment sizes and flow rates for the job designs. The use of conformance control liners (CCL) in the lower completion, coupled with the EverGreen Burner (Management of Residual Materials, MRM, suite) for the initial well cleanup, enables the independent testing of Unit 2 to evaluate the success of the acid fracturing operations completing the full cycle of acid frac execution and assessment.

Every new acid frac job has been based on the experience of the preceding jobs allowing for several areas for improvement. Acid recipe and volumes were the most frequent subjects to change that tested utilization of retarded acid, diverter acid system, pad gel and hydrochloric acid. On the other hand, the different intervals of Unit 2 were targeted for stimulation implying the varying nature of reservoir properties, the water risk and frac gradients in particular. Thus, the wells and reservoir compartments of interest showed contrasting productivity and water-cut that also has been a significant driver to manage the intensity of treatment by injection rate and acid volumes. The staged stimulation approach leveraged the benefits of CCL completion in the tight formation which accommodated selective treatment and delivered proper isolation between the stages. Some on-fly adjustments based on the set of calibration tests are also going to be shared along with the enhancement suggestions for execution process.

The aggregate of rigless equipment, MRM well clean-up spread, slickline/wireline tools, permanent downhole gauges, and CCL well completion provide great flexibility and efficiency in planning and execution of acid fracturing in the described conditions of the tight almost undepleted carbonate reservoir. Analysis of treatment charts might shed light on the effectiveness of treatment fluid systems in terms of anticipated pressure behavior. The well flowing data and further surveillance also backs up the assessment of the acid frac reducing the uncertainties for water and productivity.
Integrating Multi-Source Experiment Data and Variational Diffusion Model for Intelligent Constructing Digital Core: A Case Study of Sandstone Reservoir in the Turgay Basin Central South Kazakhstanc
Authors: Wang Lian , Zhang Liang , Deng Rui , Wang Hehua , Zhao Xing , Xu Bing
Published: November 2024

Digital core technology is increasingly indispensable for the purpose of efficient development of sandstone reservoir in the Turgay basin central south Kazakhstan which could conduct multiple analyses and experiments without damaging the actual rock core, thereby enhancing efficiency, cutting costs, and minimizing resource wastage. The conventional methods for constructing the digital core mainly include high costs, while the construction cost of physical experimental methods is relatively high and the numerical reconstruction methods exhibit lower efficiency. An intelligent digital core construction framework combining multi-source experimental data with generative deep learning algorithms called MSED-GDL is proposed for quick and efficient reconstruction of the digital core. The framework begins with a U-net based autoencoder that encodes three-dimension (3D) images into a compact latent variable space, enhancing computational efficiency. This is followed by micro-seepage simulation and other processing on the 3D core database to gather multimodal data, including porosities, permeabilities, two-dimension (2D) thin section images, etc. A latent diffusion model is then employed to reconstruct high-fidelity 3D digital cores in seconds, capable of handling incomplete multimodal data inputs. To validate the MSED-GDL framework, 10000 digital core samples with the property of one typical sandstone reservoir in the Turgay basin central south Kazakhstan and a resolution of 256x256x256 were generated using Perlin noise and threshold filtering. Meanwhile, an autoencoder was adopted to compress these into a 16x16x16 tensor representation. Subsequently, the seepage simulations yielded multimodal data—comprising section images, mercury intrusion curves, phase permeability curves, permeabilities, etc. in various data forms (images, series, scalars). The latent diffusion model reconstructed the 3D digital cores using reverse diffusion and iterative denoising, achieving a reconstruction with minimal deviation from actual samples. The permeability, porosity, average throat radius, pore throat ratio, pore throat distribution, and relative permeability curve of the reconstructed digital core have strong consistency with multi-source experimental data indicating that the reconstructed three-dimensional digital core, in terms of geological, physical, and geometric, and other parameters that affect underground flow characteristics, has statistical significance similar to the original digital core and can serve as an approximate replacement for the original digital core.
Well Management Logic Optimization: Simulation Case Study on Kashagan Field
Authors: Nogerbek Nurbol , Pradja Kurnia , Galiyeva Gulnara , Hayat Sharjeel
Published: November 2024

This paper discusses the optimization of well management strategies for production forecasting using dynamic reservoir modeling in a giant oil field that employs gas injection. Over the years of production, a significant evolution in the field knowledge has occurred, driven by the integration of additional data and information into the reservoir model. Continuous model updates have become essential, ensuring that the reservoir simulations reflect the latest field conditions. In parallel, these updates are accompanied by enhancements to the field and well management logic within the simulation. The well management logic is continuously refined based on the deepening understanding of the reservoir, with the ultimate goal of maximizing field recovery.

Depending on the field phase, well management logic evolves to address specific needs. In the pre-development stage, the logic primarily guided rate balancing based on well potential. As production commenced, surveillance data provided more detailed information, triggering adjustments in the management logic. The challenges encountered during production were integrated into the 3D dynamic model to improve forecasting accuracy. Furthermore, this information led to updates in the well and field management logic, ensuring more informed guidance for production and operational strategies, ultimately aimed at maximizing recovery. This paper shares the lessons learned and implementation of well management strategies throughout the eight years of production, offering valuable insights for optimizing recovery in similar large-scale, gas-injected oil fields.
Structural molecular and developmental evidence for cell-type diversity in cnidarian mechanosensory neurons
Authors: Nakanishi Nagayasu , Baranyk Julia , Malir Kristen , Silva Miguel , Rieck Sakura , Scheve Gracie
Published: November 2024

Deploying a conserved mechanosensory neuron known as the concentric hair cell, cnidarians have evolved diverse mechanoreceptors from hydroid filiform tentacles to jellyfish statocysts. However, it is unknown whether cnidarian mechanoreceptor evolution has relied solely on repurposing a single ancestral mechanosensory neuron type. Here we report evidence for cell-type diversity of mechanosensory neurons in sea-anemone cnidarian Nematostella vectensis. Uncovered in the ectoderm of feeding tentacles are conventional type I hair cells and previously unrecognized type II hair cells differing in the structure of apical sensory apparatus and synapses. Moreover, we identify TRP channel-encoding gene polycystin-1 as a type-II-hair-cell-specific essential mediator of gentle touch response. Ontogenically, type I and type II hair cells derive from distinct postmitotic precursors that begin forming at different phases of larval development. Taken together, our findings suggest that anatomically, molecularly, and developmentally distinct mechanosensory neurons diversified within Cnidaria, or prior to the divergence of Cnidaria and Bilateria.
Innovative Metrics for Quality-Adjusted Life Years: A New Standard for Healthcare Cost-Benefit Analysis
Authors: Tanizawa Yusuke , Ito Kazuya , Takashima Ryuta
Published: November 2024

To address the recent rise in healthcare expenditure due to an aging population, the rational allocation and efficient use of resources, based on scientific evidence, has become indispensable. This study presents a more valid quality-adjusted life years (QALY) estimation based on the value of statistical life, which can be used for cost-benefit analysis (CBA) of policy interventions and the efficient allocation of healthcare resources. We assess the accuracy of conventional QALY estimates while proposing a new, more rational, and flexible QALY estimation that combines age and scenario factors, demonstrating their validity. Our numerical analysis suggests that updating QALY by considering regional characteristics such as population, age distribution, and changes in quality of life (QoL) can lead to a more accurate CBA. Using this metric enables more rational policy budgeting based on scientific evidence and indicates the potential for achieving greater efficiency in the allocation of healthcare resources. Furthermore, increasing the proportion of healthy individuals with a gradual decline in QoL can help reduce healthcare expenditure.
Second IBTR outcomes of repeat lumpectomy with or without radiotherapy in patients with ipsilateral breast tumor recurrence (IBTR) after breast conserving surgery: a single-center retrospective cohort study
Authors: Shin Eunju , Yoo Tae-Kyung , Lee Sae Byul , Chung Il Yong , Kim Jisun , Ko Beom Seok , Kim Hee Jeong , Lee Jong Won , Lee Hye In , Jung Jinhong , Ahn Seung Do , Kim Su Ssan , Son Byung Ho
Published: November 2024

Purpose
Managing ipsilateral breast tumor recurrence (IBTR) after breast-conserving surgery is challenging. This study aimed to investigate the outcomes of repeat lumpectomy for IBTR, with or without radiotherapy, and to identify factors associated with improved second IBTR-free survival.
Methods
We conducted a retrospective study of 128 patients who underwent repeat lumpectomy for IBTR between 1994 and 2013. Patients were divided into four groups based on radiotherapy status: no radiotherapy, radiotherapy after the first operation, radiotherapy after the second operation, and radiotherapy after both operations. Clinicopathological characteristics, including age, interval to IBTR, tumor size, histological grade, hormone receptor status, and human epidermal growth factor receptor 2 (HER2) status of second operation tumor tissue, were compared among the groups. Kaplan-Meier survival analyses were performed to evaluate second IBTR-free survival rates, and Cox regression analysis was used to identify independent prognostic factors.
Results
The median follow-up period was 65.5 months, with an overall second IBTR rate of 25.0%. Most patients (84.4%) were 40 years old or younger at the initial operation, and 57% were 40 years old or younger at the second operation, with no significant differences in age distribution by radiotherapy (RT) status. Significant differences were observed in the interval to IBTR (p=0.039) and node metastasis (p=0.011) among the groups, while other factors such as histologic grade and receptor status showed no significant differences.
Younger age at the second operation was significantly linked to a higher likelihood of second IBTR (p=0.002). Patients who received RT after the first but not the second operation, or no RT at all, had higher chances of second IBTR recurrence compared to those who received RT after the second operation (p=0.042). Multivariable analysis indicated that receiving RT after the second operation was significantly associated with improved second IBTR-free survival (HR: 0.119, 95% CI: 0.015–0.928, p=0.042).
Conclusions
Our study indicates that younger age at IBTR is a significant factor for second recurrence. Radiotherapy after repeat lumpectomy, irrespective of prior radiotherapy was administered following the initial operation, improves the rate of IBTR-free survival in patients undergoing repeated lumpectomy for IBTR. This study provides valuable insights into the management of patients with IBTR after breast-conserving surgery and highlights the importance of considering radiotherapy.
Unfolding insights about resilience and its coping strategies by medical academics and healthcare professionals at their workplaces: A thematic qualitative analysis
Authors: Guraya Salman Yousuf , Dias Jacqueline Maria , Eladl Mohamed Ahmed , Rustom Ayah Mohammad Rajai , Alalawi Fatima Audi Saleem , Alhammadi Majid Hassan Saleh , Ahmed Yusra Ahmed Mohammed , Shamsi Amna Ali Omran Taryam Al , Bilalaga Sarah Juman , Nicholson Alfred , Malik Hani , Guraya Shaista Salman
Published: November 2024

Background
Health care professionals (HCPs) and medical and health academics (MHAs) strive to maintain and promote population health through evidence-based medical education and practice. At their workplaces, due to the demanding nature of work, HCPs and MHAs face substantial degree of physiological, psychological, and physical stress including burnout. Resilience has therefore become a fundamental necessity in the medical field. Our research aimed to acquire an in-depth comprehension of how HCPs and MHAs understand, cultivate, and sustain resilience when confronted with challenges and stressors at their workplaces.
Methods
We reviewed the existing corpus of literature on resilience, stressors, and coping strategies and followed an iterative process of deliberations for the development of a questionnaire. It was validated by content experts and was piloted on a small group of MHAs of the University of Sharjah (UoS) and HCPs from different hospitals of the United Arab Emirates to test its relevance, clarity of items, internal consistency, and inter-observer validity. The validated questionnaire was then used for in-depth interviews on HCPs and MHAs. Lastly, we adopted the Braun and Clarke 6-stage thematic model for qualitative data analysis.
Results
Our study recorded insights of 170 participants; 69 MHAs and 101 HCPs. Through an inductive thematic analysis of responses, three overarching themes with sub-themes emerged; cognitive mastery (cognitive appraisal and problem-solving abilities), affective well-being (gratification from professional efficacy and social support), and conative efficiency (proactive approaches and introspection and reflection). Other main findings highlighted stress-related factors, realistic expectations, personal well-being and work-life balance. MHAs were concerned about academic output and research, while HCPs were stressed about patient care, delivery of services, and workload. These constructs showcase an intricate interplay between cognitive mastery, affective well-being, and conative efficiency.
Conclusion
The findings of our study bestow valuable insights into the dynamic nature of resilience in the medical profession. The synergies and dissimilarities in work-life balance, personal productivity, and job-specific stressors among HCPs and MHAs demand a well-structured resilience program. The themes of cognitive mastery, affective well-being, and conative efficiency are interconnected and can help foster work-life balance and personal well-being of HCPs and MHAs to improve their resilience.
Analysis of the incidence and mortality of tetanus in children aged 0-5 years in 204 countries from 1990 to 2021
Authors: He Li , Liu Cheng , Zhang Jin Hui , Deng Dachuan , He JiangShan , Tian Lin , Zhou Wenlai , Zheng Xiangde
Published: November 2024

Background: Tetanus is a vaccine-preventable disease. Understanding trends in the incidence and mortality of tetanus in infants and young children is essential to develop prevention and intervention strategies.
Methods: Data on tetanus incidence and mortality among children aged 0-5 years from 1990 to 2021 were obtained from the Global Burden of Disease Study (GBD) 2021. Estimated annual percentage changes (EAPC) were calculated to assess the trends in the change of children’s tetanus incidence and mortality and the burden of disease. The relationship between disease burden and sociodemographic index (SDI) was also analyzed.
Results: Globally, the incidence of children's tetanus decreased from 308,931 cases in 1990 to 17,788 cases in 2021. Similarly, tetanus mortality among children has decreased significantly over the past 30 years, from 24.62 per 100,000 to 1.34 per 100,000, with little gender difference observed. The highest rates were seen in Caribbean, Central Sub-Saharan Africa, Eastern Sub-Saharan Africa, North Africa and Middle East, South Asia, Southeast Asia, and Western Sub-Saharan Africa, with 2.3 per 100 000, 3.48 per 100 000, 6.59 per 100 000, 2.04 per 100 000, 4.13 per 100 000, 3.48 per 100 000 and 3.6 per 100 000, respectively. The incidence and mortality of tetanus in children are significantly different in areas with different SDI levels. The incidence and mortality in areas with low SDI are higher than those in areas with high SDI.
Conclusion: The incidence and mortality of tetanus in children have decreased to varying degrees worldwide, but they are still high in some regions, especially in countries with low SDI, which highlights the impact of socioeconomic factors on the outcome of the disease. More targeted supportive measures are imperative for mitigating the global burden posed by children’s tetanus.
Investing in Hypertension Care in Lagos, Nigeria: Quantifying the Costs to Close the Treatment Gap based on Real-World Data
Authors: Dieteren Charlotte , Gómez-Pérez Gloria , Bellaar Atze , Baningbe Bolanle , Ifeanyichi Martilord , de Wit Tobias , Dada Ibironke , Zamba Emmanuella , Andel Judith van
Published: November 2024

Low- and middle-income countries (LMICs) house 66% of all hypertension patients, many of whom are undertreated, leading to severe health risks and higher healthcare costs. This study examined the required investments to improve hypertension control in Lagos, Nigeria, using real-world medical records and cost data. We found that both adherence to consultations and medications according to guidelines was significantly associated with reduction of a 5–6 mmHg in systolic blood pressure. These reductions correspond to a 6–14% decrease in cardiovascular complication risk and would require an average annual investment of USD 120 per patient. The medication costs being the main cost driver. Statewide, providing complete care for all hypertension patients would require an annual investment of $300 million, or $5,000 to $13,000 per saved life year. The identified required investments are currently far outside an acceptable range when comparing to the GDP of Lagos State, Nigeria. To make chronic care investments feasible, hypertension management must become more efficient, including reducing high medication costs through bulk purchasing, adopting innovative, group based blended care models, and increasing health insurance coverage.
Intrinsic metal-support interactions break the activity-stability dilemma in electrocatalysis
Authors: Lv Ruitao , Zhou Lingxi , Yang Menghao , Liu Yihong , Kang Feiyu
Published: November 2024

Electrocatalysis plays a central role in clean energy conversion and sustainable technologies. However, the trade-off between activity and stability of electrocatalysts significantly hinders their practical applications, notably in the oxygen evolution reaction (OER) for producing hydrogen and solar fuels. Here we report a steam-assisted synthesis armed with machine learning screening of an integrated ruthenium-titanium-manganese electrode, featuring intrinsic metal-support interactions. These atomic-scale interactions with self-healing capabilities radically address the activity-stability dilemma across all pH levels. Consequently, our electrode achieved high mass activities, 48.5, 112.8 and 74.6 times those of benchmark ruthenium oxides in acidic, neutral and alkaline conditions, respectively; and stable operation for up to 3,000 hours, a multi-fold improvement in stability over the reported advanced catalysts. The breakthrough in activity-stability limitations highlights the potential of intrinsic metal-support interactions for enhancing electrolysis and other heterogeneous catalysis.
Improving the Supercapacitance Performance of V 2 O 5 Interconnected Al 2 O 3 Composite Electrode for Energy Storage Application
Authors: Vijayakumar P. , Gomathi A , Sivakumar P. , Maadeswaran P. , Sethupathi N.
Published: November 2024

Designing and synthesizing of transition metal oxide complex nanostructures were involving a high-capacity electrodes for energy storage applications. In this research work, we have systematically synthesised the V2O5/Al2O3 composite electrode which is evaluated the charge storage activities in an aqueous system to confirmed the supercapacitor properties. Further, the obtained composite electrode was estimated by various physico-chemical techniques. The XRD pattern, FE-SEM, TEM images and BET analysis were confirms orthorhombic crystalline structure of V2O5/Al2O3 as mixed crystalline in phase and good formation of the composite electrode with remarkable porous properties. The charge storage activities of this composite electrode were evaluated via three-electrode system in 1 M KOH electrolyte solution. As output result, the V2O5/Al2O3 composite electrode achieved the 746.6 F g− 1 at the current density value of 1 A g− 1. Interestingly, the electrode was attained the 87.4% stability retention in 3000 cycles. These acceptable electrochemical performances are ascribed to the synergistic effect metal oxides, which is coexistence of various electronic states of this V2O5/Al2O3 composite.
Regime switching forecasting for cryptocurrencies
Authors: ZUO Xiaorui , Agakishiev Ilyas , Härdle Wolfgang , Becker Denis
Published: November 2024

There are many ways to model complex time series. The simplest approach is to increase the complexity, and thus, the flexibility of the model, for the entire time series. As an example, one could use a neural network. Another solution would be to change the parameters of a model dependent on the "state" or "regime" of the time series. A typical example here would be the Hidden Markov model (HMM). This paper combines the two concepts to create a Reinforcement Learning (RL) model that adds variables that depend on the state of the time series. To test the concept, the RL model is used with cryptocurrency data to determine the share to invest into the cryptocurrency index CRIX in order to maximize wealth. The results have shown that cryptocurrency metadata is useful as supplementary data for analysis of the respective prices. The Reinforcement learning model with regimes shows potential for investment management, but comes with some caveats.
Giant Cardiac Hemangioma: Case Report and Literature Review
Authors: COUTINHO HENRIQUE , Kikuta Gustavo , Filgueiras Marcos , Wajsbrot Bruno , Muñoz Juan , Zurita Paolo , Jazbik Pedro , de Paiva Heitor Caramurú , Rodrigues Fabiana , Rainho André , Coutinho Joaquim Henrique
Published: November 2024

Introduction: Primary cardiac tumors are extremely rare, posing significant diagnostic and therapeutic challenges. Among them, cardiac hemangiomas are particularly uncommon, constituting only a small percentage of benign heart tumors. Although benign, their unpredictable behavior and potential compression of adjacent cardiac structures can lead to significant complications. This study reports a rare case of a giant cardiac hemangioma, along with a comprehensive literature review.
Case Report: A 58-year-old female patient presented with progressive abdominal pain and dyspnea. Imaging studies revealed a heterogeneous mass within the pericardial sac. Cardiac magnetic resonance imaging (MRI) confirmed a lesion measuring 119 x 117 x 67 mm without apparent invasion of the cardiac wall. The patient underwent complete surgical resection of the tumor, with a satisfactory postoperative recovery. Histopathological examination confirmed the diagnosis of a giant cavernous hemangioma.
Discussion: The literature review highlights the rarity of cardiac hemangiomas and the importance of complete resection to ensure a favorable prognosis. A multidisciplinary approach, combined with the use of advanced imaging modalities, is essential for accurate diagnosis and appropriate surgical planning.
Conclusion: Effective management of giant cardiac hemangiomas requires an integrated approach among various specialties, aimed at early diagnosis and complete resection. Long-term follow-up is necessary to detect potential recurrences.
Improved Accuracy of PCG Signal Classification for Myocardial Infarction Biomarker Using Automatic Feature Selection and Boosting Process
Authors: Puspasari Ira , Watanabe Nobuo , Ohwada Masahiro , Ahmadi Nur , Pramudyo Miftah , Setiawan Agung W. , Mengko Tati L. R. , Adiono Trio
Published: November 2024

Myocardial Infarction (MI) is a leading cause of death worldwide. Traditional MI diagnosis relies on clinical evaluation, Electrocardiogram (ECG) findings, cardiac biomarkers, and imaging studies. This study introduces an innovative approach by applying machine learning to phonocardiogram (PCG) data, aiming to differentiate between normal, segment elevation myocardial infarction (STEMI) and non-ST segment elevation myocardial infarction (NSTEMI). Building upon previous research where a bagging method achieved 86% accuracy, this study enhances predictive performance using advanced boosting algorithms such as AdaBoost and Gradient Boosting. Our model, tested on 104 subjects of Indonesian and Japanese origin, utilized 18 extracted features with a mutual information value of 0.821 bits, demonstrating their high relevance. AdaBoost and Gradient Boosting achieved 88.3% and 93% accuracy without parameter tuning, respectively. With parameter tuning, these methods further improved, with AdaBoost reaching 94% accuracy and sensitivity, while Gradient Boosting achieved an accuracy of 98.3% and a sensitivity of 95%. These results highlight the model’s potential to revolutionize MI diagnosis using PCGs, showcasing the efficacy of machine learning in enhancing clinical decision-making and improving patient outcomes.
Intelligent Monitoring and Fuzzy control of MIG welding seam tracking based on Passive visual Sensing
Authors: Zhu Ming , Zhu Ming , Ma Qingsong , Lei Runji , Weng Jun , Shi Yu
Published: November 2024

To reduce the risk of personnel operation and further improve welding efficiency, weld seam tracking in MIG welding process arc has to be developed for automatic manufacturing. Weld seam tracking system mainly contains intelligent monitoring and fuzzy control. For monitoring part, an optical testing platform and a passive visual detecting device are established to analyze groove and arc position. Also preprocessing workflow and adaptive enhancement algorithm are built to increase image gray values. Deep learning program is used to select and locate interest area to improve the accuracy of detection. The arc position calculation model is also proposed to extract geographic location. For control part, based on welder's operation skills, fuzzy logic rules are programmed to control the arc position at the middle of gap. Also control experiments are carried out and compared with manual adjustment. Results show that: (1) with preprocessing workflow and adaptive enhancement algorithm, the average gray value of the groove area and the arc area increased by 114% and 100%;(2) by using deep learning, the interest area, which contains information of groove shape and oscillating arc position and could be selected accurately, and the mAP index is as high as 99.27%. (3) based on the preset deviation test, the pixel error of the alignment deviation detection is within 8 pixels. And with the alignment deviation, distance can be controlled between ± 0.5 mm.
Efficacy and Safety of Intravitreal rAAV2-ND4 Therapy for Leber’s Hereditary Optic Neuropathy
Authors: Wei Wenbin , Jiang Libin , Guo Sitong , Li Bin , Xiao Su , Wang Fei
Published: November 2024

Background:
This study aimed to assess the safety and efficacy of a rAAV2 carrying normal ND4 (rAAV2-ND4) (NR082) in individuals with visual loss due to LHON carrying the m.11778G > A mutation. Additionally, it aimed to determine a safe dose of NR082 for intravitreal injection.
Methods:
This is a single-arm, open-label, dose-finding clinical trial. A total of 12 participants with the m.11778G > A mitochondrial DNA mutation and vision loss exceeding 6 months in both eyes were enrolled in this trial. The participants received NR082 by unilateral intravitreal injections. 6 participants were received 1.5*109 vg, 0.05mL (Group I), and 6 participants received 4.5*109 vg, 0.05mL (Group II) and were followed for 52 weeks and underwent ocular and systemic safety assessments, with visual structure and function examinations.
Results
In Group I, baseline best-corrected visual acuity (BCVA) in injected eyes improved from 1.86 ± 0.36 LogMAR at baseline to 1.59 ± 0.10 LogMAR at week 52 post intravitreal rAAV2-ND4. In Group II, baseline BCVA was 2.15 ± 0.23 LogMAR, improving to 1.92 ± 0.32 LogMAR at week 52. Two eyes in Group I and four eyes in Group II showed significant improvement after 52 week. No serious ocular or systemic adverse events or dose-limiting toxicity were reported. Adverse events possibly related to treatment included uveitis, subconjunctival hemorrhage, vitreous opacity and keratic precipitates.
Conclusion
This phase 1/2 trial in LHON demonstrated no serious safety concerns in the 12 participants. Further follow-up of these and additional participants is required to confirm these findings.