bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the links between burnout and suicidal ideation in diverse occupations
Authors: Oh Dae Jong , Shin Young Chul , Oh Kang-Seob , Shin Dong-Won , Jeon Sang-Won , Cho Sung Joon 
Published: September 2023

IntroductionIt is uncertain whether burnout is associated with suicidal ideation among workers not in health care services. The aim of this study was to identify how burnout and suicidal ideation are linked among employees in various occupations and whether depression affects this link.MethodsThis cross-sectional study collected data from 12,083 participants aged 19–65 years from 25 companies and public institutions who underwent workplace mental health screening. Burnout and depression were assessed using both the Oldenburg Burnout Inventory and the Center for Epidemiologic Studies Depression Scale. Suicidal ideation was assessed by a self-rated questionnaire from the Korea National Health and Nutrition Examination Survey.ResultsExhaustion but not the cynicism dimension of burnout was associated with increased odds of suicidal ideation after adjustment for depression and other covariates (odds ratio [OR] = 1.47, 95% CI = 1.26–1.72). The association of exhaustion with suicidal ideation was significant in both depressed (OR = 1.36, 95% CI = 1.14–1.61) and not depressed (OR = 1.77, 95% CI = 1.13–2.76) participants. In exhausted participants, insufficient job control, an unfavorable occupational climate, low educational level, and depression were associated with increased odds of suicidal ideation.ConclusionExhaustion is linked with risk of suicidal ideation in employees not in health care service, regardless of depression status. Exhausted employees, particularly those having poor job resources, should be recognized as an at-risk group.
Caregiver burden and its associated factors among primary caregivers of stroke survivors at Amhara regional state tertiary hospitals: a multicenter study
Authors: Bekele Gebremariam , Yitayal Melisew Mekie , Belete Yihalem , Girma Yisak , Kassa Tesfa , Assefa Yohannes Awoke , Nigatu Solomon Gedlu , Eriku Getachew Azeze 
Published: September 2023

BackgroundCaregivers of stroke survivors play a crucial role in post-stroke functional recovery and the prevention of complications. Although the situation is incredibly stressful and intimidating and the caregiver burden is high, there is little evidence in the local Ethiopian context of the extent of the burden among caregivers of stroke survivors. Therefore, the aim of this study was to assess the level of caregiver burden and its associated factors among primary caregivers of stroke survivors in Ethiopia.MethodsA cross-sectional study was conducted in Amhara regional state tertiary hospitals from April to June 2022. A standardized questionnaire was used to record factors associated with caregiver burden, including sociodemographic, clinical, and care situation factors. The Zarit caregiver burden interview (short form) was used to assess the level of caregiver burden. A systematic random sampling method was employed to select the study participants. Multinomial logistic regression was employed to identify the potential factors associated with the level of caregiver burden.ResultsThe overall prevalence burden among primary caregivers of stroke survivors was 67%. 61.1% had a mild to moderate burden, while 5.9% had a severe burden. In multivariable multinomial logistic regression analysis, sex, household income, duration of care, and duration of caregiving hours per day were factors significantly associated with the level of burden among caregivers of stroke survivors.ConclusionsBeing female, having a low household income, caring for more than 3 months, and caring for more than 6 h per day were factors significantly associated with the burdens of the primary caregivers of stroke survivors. It is better: health care providers must recognize and screen for burdens and provide special attention.
Expanding horizons and navigating challenges for enhanced clinical workflows: ChatGPT in urology
Authors: Talyshinskii Ali , Naik Nithesh , Hameed B. M Zeeshan , Zhanbyrbekuly Ulanbek , Khairli Gafur , Guliev Bakhman , Juilebø-Jones Patrick , Tzelves Lazaros , Somani Bhaskar Kumar 
Published: September 2023

Purpose of reviewChatGPT has emerged as a potential tool for facilitating doctors' workflows. However, when it comes to applying these findings within a urological context, there have not been many studies. Thus, our objective was rooted in analyzing the pros and cons of ChatGPT use and how it can be exploited and used by urologists.Recent findingsChatGPT can facilitate clinical documentation and note-taking, patient communication and support, medical education, and research. In urology, it was proven that ChatGPT has the potential as a virtual healthcare aide for benign prostatic hyperplasia, an educational and prevention tool on prostate cancer, educational support for urological residents, and as an assistant in writing urological papers and academic work. However, several concerns about its exploitation are presented, such as lack of web crawling, risk of accidental plagiarism, and concerns about patients-data privacy.SummaryThe existing limitations mediate the need for further improvement of ChatGPT, such as ensuring the privacy of patient data and expanding the learning dataset to include medical databases, and developing guidance on its appropriate use. Urologists can also help by conducting studies to determine the effectiveness of ChatGPT in urology in clinical scenarios and nosologies other than those previously listed.
Socioeconomic Position and Type 2 Diabetes: The Mediating Role of Psychosocial Work Environment- the Maastricht Study
Authors: Sezer Bengisu , Koster Annemarie , Albers Jeroen , Meisters Rachelle , Schram Miranda , Eussen Simone , Dukers Nicole , de Rijk Angelique , Stehouwer Coen , Bosma Hans 
Published: September 2023

Objective: We examined the association between low socioeconomic position (SEP) and Type 2 Diabetes Mellitus (T2DM), and the mediating role of psychosocial work environment by using counterfactual mediation analysis.Methods: Data from 8,090 participants of The Maastricht Study were analysed. SEP indicators (education, income, occupation), self-reported psychosocial work stressors, (pre)diabetes by oral glucose tolerance test were measured at baseline. Incident T2DM was self-reported per annum up to 9 years. Cox regression and causal mediation analyses were performed.Results: 2.8% (N = 172) of the participants without T2DM at baseline reported incident T2DM. People with lower SEP more often had prevalent T2DM (e.g., education OR = 2.49, 95% CI: 2.16–2.87) and incident T2DM (e.g., education HR = 2.21, 95% CI: 1.53–3.20) than higher SEP. Low job control was associated with prevalent T2DM (OR = 1.44 95% CI: 1.25–1.67). Job control partially explained the association between income and prevalent T2DM (7.23%). Job demand suppressed the associations of education and occupation with prevalent T2DM. The mediation models with incident T2DM and social support were not significant.Conclusion: Socioeconomic inequalities in T2DM were present, but only a small part of it was explained by the psychosocial work environment.
Rancang Bangun dan Pengaruh Susunan Pisau Setengah Helix pada Mesin Pencacah Limbah Sayur
Authors: Nugraha Nurcahya , Pramana Tunggul 
Published: September 2023

Limbah sayur adalah sisa sayuran yang layu dan membusuk. Biasanya limbah sayur cenderung hanya menjadi sampah yang berujung di tempat pembuangan. Sampah-sampah tersebut masih mengandung kadar air yang tinggi dan memiliki potensi untuk dimanfaatkan sebagai pakan ternak atau pupuk kompos. Namun terdapat kendala dalam pemanfaatannya, kendala utama dalam pemanfaatan limbah sayur yang akan dijadikan sebagai pakan ternak adalah ukuran limbah sayur yang masih cenderung terlalu besar sehingga tidak dapat dimanfaatkan langsung sebagai pakan ternak. Oleh karena itu, diperlukan teknologi yang dapat mempermudah proses pencacahan. Salah satu teknologi pencacah yang tepat untuk memanfaatkan limbah sayur adalah mesin pencacah limbah sayur. Mesin pencacah limbah sayur dirancang menggunakan poros horizontal dan digerakkan oleh motor listrik AC dengan daya 1 hp. Digunakan mekanisme pulley dan belt untuk mereduksi putaran dan mentransmisikan daya dari motor ke pisau pencacah. Pada mesin pencacah ini digunakan susunan pisau setengah helix dan susunan sejajar. Pada mesin ini dilakukan pengujian untuk mengetahui kelebihan pemilihan pola susunan pisau setengah helix dibandingkan dengan pola susunan pisau sejajar, serta untuk mengetahui kapasitas pencacahan yang dimiliki oleh mesin. Pada penelitian ini dilakukan percobaan menggunakan kecepatan putar 1800 rpm. Mesin pencacah dengan susunan pisau setengah helix memiliki kapasitas pencacahan sebesar 231,4 kg/jam, lebih besar dibandingkan dengan susunan pisau sejajar.
Kata kunci: mesin pencacah, limbah sayur, pisau helix
Rantai Pasok Agroindustri Sabut Kelapa pada PT. Berkat Abadi Korindo Kecamatan Matuari Kota Bitung
Authors: Olad Mikha , Lolowang Tommy Fredy , Tangkere Ellen Grace 
Published: September 2023

This study aims to determine the production process of processing, coconut coir fishing nets and describe the flow of products, information flows and financial flows in the supply chain of fishing nets at PT. Berkat Abadi Korindo, Matuari District, Bitung City. This research was conducted for 2 months from September to October 2022. The sampling method used the purposive sampling method with the purpose and objective of the research, namely by selecting one of the staff/employees at PT. Berkat Abadi Korindo. The research uses primary data obtained from direct observation and interviews with respondents using a questionnaire. The analytical method used in this study is a descriptive analysis with a qualitative and quantitative approach. The results showed that supply chain actors in product flow, information flow and financial flow were farmers, collectors, PT. Berkat Abadi Korindo, expedition services and customers. Product flow in the Jaring Ikan supply chain, namely the supply of raw materials from coconut coir supply farmers to PT. Berkat Abadi Korindo, coconut fiber rope products has been exported to customers using expedition services. The flow of information that flows, namely information about the supply of raw materials from suppliers to factories and then product information from factories to customers. The financial flow that flows is in the form of payments made which pay to suppliers in cash/cash while for customer payments to the factory, namely the transfer payment system.
A Multi-task Deep Learning Algorithm for Sleep Stage Scoring and Sleep Arousal Detection
Authors: Huo Jiayan , Li Huayu , Roveda Janet , Quan Stuart F , Li Ao 
Published: September 2023

<p>Sleep plays a crucial role in our overall health and well-being. Analyzing sleep stages and the frequency of arousals can enhance our understanding of sleep quality and help protect individuals' sleep health. This study delves into the application of deep learning for the simultaneous tasks of sleep staging and sleep arousal identification using the single-lead electrocardiogram (ECG) signal. A deep learning model was developed and evaluated on the Multi-Ethnic Study of Atherosclerosis (MESA) dataset, demonstrating promising performance. The model achieved comparable or improved results compared to existing approaches. It was able to predict sleep stages with an average accuracy of 0.79 ($\kappa=0.68$) and arousal with an area under receiver operating characteristic (AUROC) of 0.935. Notably, the model's fairness across different cohorts based on sex, age, and ethnicity was explored, revealing consistent performance regardless of these factors. The model's ability to automatically extract relevant features, such as instantaneous heart rate and heart rate variability, was investigated, shedding light on its interpretability. </p>
Privacy-Preserving Probabilistic Data Encoding for IoT Data Analysis
Authors: Zaman Zakia , Xue Wanli , Gauravaram Praveen , Hu Wen , Jha Sanjay K. 
Published: September 2023

<p>In this research, we have proposed a novel differentially private Bloom Filter data encoding technique, that enables the use of the Deep Learning Algorithm for downstream analysis. </p>
<p>We have used public datasets to evaluate the proposed method.</p>
Synergy in Technology How Generative AI Augments the Capabilities of Customer Data Platforms
Authors: Dhoni Pan 
Published: September 2023

<p>In an era marked by data-driven decision-making, Customer Data Platforms (CDPs) have emerged as pivotal tools for aggregating and analyzing customer data. However, as these platforms grapple with increasingly complex data sets and real-time customer engagement demands, there is a pressing need for more advanced, scalable solutions. This study explores the synergy between Generative Artificial Intelligence (AI) and CDPs, aiming to understand how the integration of generative algorithms can augment the capabilities of these platforms. Employing a multi-method research approach, including case studies, empirical analyses, and expert interviews, this paper investigates various applications of Generative AI within CDPs, such as data augmentation, real-time decision-making, and customer personalization. Moreover, the ethical implications of using generative algorithms, especially concerning data privacy and security, are critically examined. The study reveals that Generative AI can significantly enhance the functionality, performance, and efficiency of CDPs while also posing new questions around ethical considerations. Our findings offer invaluable insights for businesses, marketers, and technologists seeking to leverage the synergistic potential of these two advanced technological paradigms. </p>
Design and Implementation of a Fuzzy Logic-based Personalized Daylight Glare Index (DGI) Control System for Aircraft Cabin Windows
Authors: Liu Jasper , Vashishtha Kritika , Xi Fengfeng (Jeff) 
Published: September 2023

<p>The aim is to take full advantage of the natural sunlight inside the aircraft cabin. The paper presents the design of an intelligent window system for aircraft cabins, aiming to enhance the flight experience by automatically maintaining a personalised comfortable light level by changing the transparency of the electrochromic window. The system utilizes an adaptive Neural Fuzzy Inference System (ANFIS) to create personalized light levels, considering factors such as gender, age, activity, and Daylight Glare Index (DGI). The light level is controlled through a Proportional-Derivative (PD) based controller, which adjusts the transparency of the electrochromic window to achieve and maintain the desired lighting conditions. The automatic transparency control of the window and controller performance is realised in the test chamber. </p>
FACTORS ASSOCIATED TO EARLY INTRODUCTION OF COMPLEMENTARY FEEDING : META ANALYSIS STUDY IN INDONESIA
Authors: Azrimaidaliza Azrimaidaliza , Helmizar Helmizar , Huda Chica Nahdatul 
Published: September 2023

More than 40% of mothers in the world, including Indonesia, have given food other than breast milk when the baby is less than six months old. Various factors can lead to early complementary feeding in Indonesia. The novelty of this research is because it examines about factors associated with early complementary feeding in Indonesia. This study aimed to determine the factors associated with early complementary feeding in Indonesia. This study used a quantitative design and meta-analytical analysis technique. Articles were included in this study, which were searched using Google Scholar, Garuda Portal, and ISJD databases. A total of 1,157 identification articles, with keywords ((early complementary feeding, complementary feeding administration in infants aged 0-6 months, early breastfeeding or prelacteal feeding) and (factors or factors related to, risk factors, knowledge) mother or education level, family support, support health workers, promotion of complementary feeding products, baby porridge, baby biscuits, formula or culture) and (cross sectional or case control) and (region in Indonesia)). The search was performed using the Indonesian language. Fifteen articles were systematically reviewed and included in this meta-analysis. There is no significant relationship between maternal education level, family support, support from health workers and culture with early complementary feeding in Indonesia. Mothers’ low knowledge of exclusive breastfeeding and complementary feeding is one of the factors contributing to early complementary feeding in Indonesia. Conclusion is Mother which low knowledge is at risk 2.63 times to have early introduction of complementary feeding for baby (95% Cl; 1.14-6.09).
On the Long Tails of Specimen Data
Authors: Ariño Arturo H. 
Published: September 2023

A recent article by K.R. Johnson and I.F.P. Owens in Science (Johnson and Owens 2023) suggested that the 73 main natural history museums around the world collectively hold over 1 billion records of accessioned "specimens" (taken as collection units), a result remarkably close to, but obtained through a completely different method from, research published a decade earlier by A.H. Ariño in Biodiversity Informatics (Ariño 2010). Both sets of approaches have benefitted from information available at the Global Biodiversity Information Facility (GBIF), which in the intervening years has grown by an order of magnitude, although mostly through observation-based occurrences rather than through accretion of specimen records in collections. When comparing the estimated size of collections and the amount of digital data from those collections, there is still a huge gap, as there was then. Digitization efforts have been progressing, but they are still far from reaching the goal of bringing information about all specimens into the digital domain.
While the larger institutions may doubtlessly have greater overall resources to try and make their data available than smaller institutions, how do they compare in terms of data mobilization and sharing? Not surprisingly, the distribution of the collection sizes shows a long tail of small institutions that, nonetheless, are also embarking on digitization efforts. Will this long tail of science actually manage to have all their biodiversity data available sooner than the larger institutions? It is becoming more widely recognized that data usability is predicated on data becoming findable, accessible, interoperable and reusable (FAIR, Wilkinson et al. 2016). What could be the consequences of having a data availability bias towards having many tiny collections available for ready use, rather than a much smaller (although surely very significant) fraction of larger collections of a comparable type?
This presentation explores and compares the distribution of potential versus readily available data in 2010 and in 2023, examines what trends might exist in the race to universal specimen data availability, and whether the digitization efforts might be better targeted to achieve greater overall scientific benefit.
Regional Data Platform of West and Central African Herbaria
Authors: Ainsa Alice , Pamerlon Sophie , Archambeau Anne-Sophie , Beauvieux Rémi , Radji Raoufou , Chevillotte Hervé 
Published: September 2023

In April 2021, a Biodiversity Information for Development (BID) project was launched to deliver a regional data platform of West and Central African herbaria, which just concluded in April 2023. A dataset containing 168,545 herbarium specimens from 6 different countries: Togo, Gabon, Ivory Coast, Benin, Guinea Conakry and Cameroon, is now visible on the Global Biodiversity Information Facility (GBIF) website and will be regularly updated. A checklist datatset (Radji 2023a) and an occurrence dataset (Radji 2023b) obtained from herbarium parts are also available on GBIF.
In addition, a Living Atlases portal for herbaria in West and Central Africa has been created to allow users to search, display, filter, and download these data. This application reuses open source modules developed by the Atlas of Living Australia (ALA) community (Morin et al. 2021).
In addition to that, the RIHA platform (Réseau Informatique des Herbiers d'Afrique / Digital Network of African Herbaria) enables herbarium administrators to manage their own data. Thanks to all these tools, the workflow (Fig. 1) for data publication on GBIF is carried out regularly and easily and the addition of new member herbaria from West and Central Africa can be easily incorporated.
Elevating the Fitness of Use of GBIF Occurrence Datasets: A proposal for peer review
Authors: Barve Vijay 
Published: September 2023

Biodiversity data plays a pivotal role in understanding and conserving our natural world. As the largest occurrence data aggregator, the Global Biodiversity Information Facility (GBIF) serves as a valuable platform for researchers and practitioners to access and analyze biodiversity information from across the globe (Ball-Damerow et al. 2019). However, ensuring the quality of GBIF datasets remains a critical challenge (Chapman 2005).
The community emphasizes the importance of data quality and its direct impact on the fitness of use for biodiversity research and conservation efforts (Chapman et al. 2020). While GBIF continues to grow in terms of the quantity of data it provides, the quality of these datasets varies significantly (Zizka et al. 2020). The biodiversity informatics community has been working diligently to ensure data quality at every step of data creation, curation, publication (Waller et al. 2021), and end-use (Gueta et al. 2019) by employing automated tools and flagging systems to identify and address issues. However, there is still more work to be done to effectively address data quality problems and enhance the fitness of use for GBIF-mediated data.
I highlight a missing component in GBIF's data publication process: the absence of formal peer reviews. Despite GBIF encompassing the essential elements of a data paper, including detailed metadata, data accessibility, and robust data citation mechanisms, the lack of peer review hinders the credibility and reliability of the datasets mobilized through GBIF.
To bridge this gap, I propose the implementation of a comprehensive peer review system within GBIF. Peer reviews would involve subjecting GBIF datasets to rigorous evaluation by domain experts and data scientists, ensuring the accuracy, completeness, and consistency of the data. This process would enhance the trustworthiness and usability of datasets, enabling researchers and policymakers to make informed decisions based on reliable biodiversity information.
Furthermore, the establishment of a peer review system within GBIF would foster collaboration and knowledge exchange among the biodiversity community, as experts provide constructive feedback to dataset authors. This iterative process would not only improve data quality but also encourage data contributors to adhere to best practices, thereby elevating the overall standards of biodiversity data mobilization through GBIF.