bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Rise of Solar Energy and Hybrid Power: Transforming Remote Regions
Authors: Likhov Ilya 
Published: October 2024

This article explores the transformative potential of hybrid energy systems and AI in revolutionizing traditional energy grids. Despite the prevalent use of fossil fuels, traditional grids operate inefficiently, generating energy continuously without responding to demand fluctuations. This article highlights the limitations of such systems and contrasts them with hybrid energy infrastructures that integrate solar panels and energy storage solutions for more dynamic and sustainable energy management.
The article proposes several strategies for leveraging AI to optimize energy systems. By utilizing predictive analytics, AI can anticipate energy demands, optimize resource allocation, and reduce reliance on fossil fuels. This approach not only enhances grid stability and resilience but also facilitates the efficient use of renewable energy sources, such as solar power. Furthermore, AI empowers consumers with smart energy management tools, enabling informed decisions on energy usage that contribute to cost savings and environmental sustainability.
The convergence of hybrid energy systems and AI presents a promising pathway towards a sustainable energy future. By implementing AI-driven predictive capabilities, stakeholders can unlock new opportunities for efficiency, resilience, and environmental stewardship in the energy sector.
The oxidative balance score impacts serum FT4 levels and all-cause mortality in Euthyroid Participants
Authors: Xiao Qianqian , Zhang Zhanqin , Ji Shuman , Li Muzi , Zhang Bohua , Xu Qing , Xiao Chang , Guan Huaijin , Ma Lei , Mei Xiaopeng 
Published: October 2024

Abstract

Abnormal fluctuations in thyroid function within the reference range were strongly associated with increased all-cause mortality. This study aimed to analyze the association between oxidative balance score (OBS) and biomarkers of thyroid function in euthyroid adults and to further investigate whether oxidative balance status affects all-cause mortality by regulating these biomarkers. 5727 euthyroid adults were selected from the National Health and Nutrition Examination Survey (NHANES). Weighted linear regression investigated the potential association of OBS with free thyroxine (FT4) and thyrotropin (TSH). In addition, COX proportional hazard models and restricted cubic spline (RCS) were used to investigate the association between OBS, FT4, TSH, and all-cause mortality. Mediating analyses were performed to determine whether FT4 and TSH modulated the relationship between OBS and all-cause mortality. The results showed that OBS was negatively correlated with FT4 concentration in euthyroid adults. In addition, OBS and FT4 were significantly associated with all-cause mortality. Mediation analysis showed that serum FT4 level mediated the relationship between OBS and FT4 to a certain extent. Among euthyroid individuals, antioxidant OBS significantly correlates with lower FT4 levels. Adherence to an antioxidant diet and lifestyle may help maintain healthier serum FT4 levels, significantly reducing the risk of all-cause mortality.
Acute Myeloid Leukemia and Myelodysplastic Neoplasms: Clinical Implications of Myelodysplasia-Related Genes Mutations and TP53 Aberrations
Authors: Kim Hyunwoo , Lee Ja Young , Yu Sinae , Yoo Eunkyoung , Kim Hye Ran , Lee Sang-min , Lee Won Sik 
Published: October 2024

Abstract

Purpose
The fifth World Health Organization (WHO) classification (2022 WHO) and International Consensus Classification (ICC) of myeloid neoplasms have recently been published. We reclassified patients according to the revised classification and analyzed their prognosis to confirm the clinical utility of the new classifications.
Methods
We included 101 adult patients, including 77 with acute myeloid leukemia (AML) and 24 with myelodysplastic neoplasms (MDS), who underwent bone marrow aspiration and next-generation sequencing (NGS) between August 2019 and July 2023. We reclassified patients according to the revised criteria, then examined the differences and analyzed the prognosis using survival analysis.
Results
According to the 2022 WHO and ICC, 23 (29.9%) patients and 32 (41.6%) patients were reclassified into different groups, respectively, due to the addition of myelodysplasia-related (MR) gene mutations to the diagnostic criteria or the addition of new entities associated with TP53 mutations. The median overall survival (OS) of patients with AML and MR gene mutations was shorter than those of other AML group; however, the difference was not significant. Patients with AML and TP53 mutation had a significantly shorter OS than the other AML group (p = 0.0014, median OS 2.3 vs 10.3 months). They also had significantly shorter OS than the AML and MR mutation group (p = 0.002, median OS 2.3 vs 9.6 months).
Conclusion
The revised classifications allow for more detailed categorization based on genetic abnormalities, which may be helpful in predicting prognosis. AML with TP53 mutations is a new ICC category that has shown high prognostic significance in a small number of cases.
Building a Coronavirus Disease 2019 (COVID-19) healthcare registry in an evolving pandemic
Authors: Venkatachalam Indumathi , Conceicao Edwin Philip , Sim Jean Xiang Ying , Arora Shalvi , Yang Yue , Yee Shoon Jin , Xu Yingxi , Ong Marcus Eng Hock , Chan Sze Ling 
Published: October 2024

Abstract

Objective:
COVID-19 emerged in Wuhan, China in December 2019 and was declared a pandemic on March 11, 2020. As there were many unknowns about COVID-19, an immediate priority early in the pandemic was to collect high-quality data to understand disease characteristics and epidemiology to inform healthcare resource management. A COVID-19 registry was developed by Singapore Health Services (SingHealth) to support clinical, operational, and research needs. We describe the development process of the SingHealth COVID-19 registry.
Methods:
Patients diagnosed with COVID-19 and managed by the Singapore Health Services (SingHealth), the largest of three public healthcare clusters in Singapore that includes acute hospitals, national specialty centres, subacute hospitals, and primary health centres, were included in the registry. A combination of laboratory test results and nationally administered electronic disease tags were used to identify COVID-19 patients. A dashboard was built in the Electronic Health Intelligence System (eHIntS), the data repository within SingHealth, linking variables in a minimum data set (MDS) using patient identifiers. Healthcare utilization in different ward types was computed, and 19 comorbidities and 14 complications were derived and coded from raw data sources within eHints for hospitalized patients.
Results:
The COVID-19 registry contains more than 100 variables across 15 data domains, including raw data in long format (e.g. problem list, movement within hospital) and derived variables (e.g. comorbidities, complications, outcomes). As of December 31, 2023, the COVID-19 registry comprises of 156,262 unique patients of whom, 27,630 were admitted for COVID-19 at least once at one of the SingHealth hospitals. It has provided data for operational, clinical, and research purposes.
Conclusion:
The SingHealth COVID-19 registry is a model of how a low-cost, automated database can be developed amidst an evolving pandemic, leveraging on pandemic-necessitated standardized clinical workflows for pandemic operations, clinical management and research.
Multi-disciplinary Characterization of Embarrassment: Behavioral and Acoustic Modeling
Authors: Sipka Dajana , Vlasenko Bogdan , Stein Maria , Dierks Thomas , Magimai-Doss Mathew , Morishima Yosuke 
Published: October 2024

Abstract

Introduction: Embarrassment is a social emotion that shares many characteristics with social anxiety (SA). Most people experience embarrassment in their daily lives, but it is quite unattended in research. We characterized embarrassment in an interdisciplinary approach, introducing a behavioral paradigm and applying machine learning approaches, including acoustic analyses.
Methods:33 participants had to write about an embarrassing experience and had then, without knowing it prior, to read it out loud to the conductor. Embarrassment was then examined with two different approaches: Firstly, from a subjective view, with self-report measures from the participants. Secondly, from an objective, machine-learning approach, where trained models tested the robustness of our embarrassment data set (i.e., prediction accuracy), and then described embarrassment in a dimensional (i.e., dimension: valence, activation, dominance; VAD) and categorical (i.e., comparing embarrassment to other emotional states) way.
Results: The subjective rating of embarrassment was increased after participants read their stories out loud, and participants with higher SA scores experienced higher embarrassment than participants with lower SA scores. The state of embarrassment was predicted at 86.4% at the best of the unweighted average recall rate. While the simple VAD dimensional analyses did not differentiate between the state of embarrassment and the references, the complex emotional category analyses characterized embarrassment as closer to boredom, a neutral state, and less of sadness.
Conclusion: Combining an effective behavioral paradigm and advanced acoustic modeling, we characterized the emotional state of embarrassment, and the identified characteristics could be used as a biomarker to assess SA.
Economic Burden and Quality of Life of Maintenance Hemodialysis Patients in a Rural Area of South India: A Pharmacoeconomic Evaluation
Authors: Rajan Redlin Jani , Sultan Reema Mohammed , Saju Sanjana Mariam , Theivendren Panneerselvam , Raju Nithya 
Published: October 2024

Abstract

Objective
The intersection of economics and quality of life in hemodialysis patients with CKD-ESRD is complex. Hemodialysis is a life-saving treatment for patients with end-stage kidney disease (ESRD), but it is also a very expensive treatment and has a considerable influence on a patient's quality of life, both physically and emotionally. This study aims to predict the cost of illness and quality of life in maintenance dialysis patients in a rural area of South India.
Methods
Individuals from tertiary care hospitals (N = 55) were filtered to satisfy the study inclusion criteria. We used the cost of illness as a predictor to analyse patients’ direct cost, indirect cost and intangible cost using the KDQOL 36 for a period of 6 months. Costs were estimated in terms of Indian national rupees (INR; 1 USD ~ INR82.52).
Results
In our study, 76.3% had haemodialysis thrice a week. A total of 52.7% spent INR 100–200 for laboratory investigation monthly. A total of 47.2% had lost their wages of INR 1000–3000 per visit, and 52.7% of patient care takers had lost < INR 3000 of their wages due to this procedure. KDQOL-36 analysis showed significant (p value < 0.05) impact of physical and mental functioning, burden of kidney disease, symptoms, and effects of kidney disease on daily life in haemodialysis patients
Conclusion
The cost of maintenance haemodialysis significantly burdens patients and caregivers, particularly those from lower socioeconomic backgrounds in rural areas. This study emphasizes the need for improved access to hemodialysis treatment and support services for CKD-ESRD patients in rural areas. To address this, policy must expand rural hemodialysis centers, address resource constraints, and raise kidney disease awareness, and clinical care must prioritize patients, engage them in decision-making, and ensure safe hospital practices.
Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: A prospective cohort study
Authors: Hu Zeyin , Luo Mengna , He Ruoying , Wu Zhenming , Fan Yuying , Li Jia 
Published: October 2024

Abstract

Objective: To develop and validate a risk prediction model for predicting the risk of Peripherally Inserted Central Catheter-Related venous thrombosis (PICC-RVT) in cancer patients with PICCs.
Method: A prospective cohort study of 281 cancer patients with PICCs was conducted from April 2023 to January 2024. Data on patient-, laboratory- and catheter-related risk factors were collected on the day of catheterization. Patients were investigated for PICC-RVT by Doppler sonography in the presence of PICC-RVT signs and symptoms. Univariate and multivariate regression analyses were used to identify independently associated risk factors of PICC-RVT and develop a risk prediction model.
Results: 275 patients were finally included for data analysis, and 18 (6.5%) developed PICC-RVT. Four risk factors were identified as key predictors of PICC-RVT, including “diabetes requiring insulin (OR:8.016; 95%CI:1.157-55.536), major surgery (within 1 month and operation time >45 minutes) (OR:0.023; 95%CI:1.296-30.77), reduced limb activities of the PICC arm (OR:6.687; 95%CI:2.024-22.09)” and “catheter material (OR:3.319; 95%CI:0.940-11.723)”. The nomogram model was developed and internally validated with an area under the receiver operating characteristics curve (AUC) of 0.796 (95%CI:0.707-0.885). The Hosmer–Lemeshow goodness-of-ft was 1.685 (p=0.194).
Conclusion: The nomogram prediction model had good predictive performance. This model could help identify patients at the highest risk for PICC-RVT to guide effective prophylaxis. Further external validation studies of this nomogram model on a large sample are required.
A combination of unexplained extreme fatigue and weight gain in a previously healthy middle-aged man with moderate alcohol habits, with later diagnosed hyperuricemia, hypertension, diabetes and large bilateral ulcerating heel tophi: a case report
Authors: Sato Rie , Halling Anders 
Published: October 2024

Abstract

Background: It is well-known that urate is a risk factor for gout but hyperuricemia is also a condition associated with common diseases such as hypertension, obesity and diabetes mellitus.
Case presentation: A caucasian male in his late 50’s who had developed a moderate drinking habit over 10 years (2-3 glasses of wine at weekends) from a previous habit of almost no alcohol use and no previous past medical history developed extreme general fatigue, which made movement increasingly difficult. This resulted in weight gain for 1.5 years before he developed numbness and about 4 years later ulcerating tophi in both of his heels. After the condition of his heels got worse, he consulted a private orthopedic surgeon who referred him to his GP where he was diagnosed with hyperuricemia, hypertension, diabetes mellitus, and obesity. Both heel tophi were removed surgically. After both the large heel tophi were surgically removed, lifestyle changes were made and medical treatment by his General Practitioner (GP) was initiated for his hyperuricemia, hypertension, and diabetes mellitus. Most of his laboratory tests and clinical symptoms such as fatigue and being overweight quickly improved, however it has been taking a longer time for inflammation to get normalized.
Conclusion: Hyperuricemia is a condition that is often untreated or undertreated, but it has been shown that hyperuricemia itself has a relationship in the development of diseases such as hypertension, diabetes mellitus and cardiovascular diseases, which could eventually be life-threatening. However, hyperuricemia can induce unexplainable extreme fatigue, which results in less movement and the development of weight gain and other lifestyle-related diseases e.g. hypertension and diabetes mellitus. Treatment for hyperuricemia should be considered even if the patient has not developed gout exacerbations, because hyperuricemia may not only cause gout, which reduces patients’ quality of life, but also has a relationship with life-threatening diseases.
SF-BARI Score for assessment of long-term results in patients with BMI ≥ 50 Kg/m2 submitted to Roux-en-Y Gastric Bypass or Sleeve Gastrectomy
Authors: Costa-Pinho André , Araújo-Teixeira João , Rodrigues Sara , Santos-Sousa Hugo , Resende Fernando , Preto John , Lima-Costa Eduardo 
Published: October 2024

Abstract

Introduction: To improve treatment of patients with BMI ≥ 50 Kg/m2, it is necessary to standardize reports and to assess long-term outcomes. The SF-BARI score was developed to provide a comprehensive evaluation of MBS outcomes. This article explores the long-term results of RYGB and SG in patients with BMI ≥ 50 Kg/m2 using the SF-BARI Score, and assesses variables that may influence this score.
Methods: Retrospective cohort study of patients with BMI ≥ 50kg/m2 submitted to Roux-en-Y Gastric Bypass (RYGB) or Sleeve Gastrectomy (SG) between January 2010 and September 2021, with more than 5 years of follow-up. Several data were collected, and the SF-BARI score was calculated and analyzed. Statistical analysis was performed to identify variables that influenced the score.
Results: We identified 89 patients with long-term follow-up (mean 96.6 months, SD 18.9) after RYGB or SG. The mean SF-BARI score was 94.2 (SD 29.5) with most patients’ outcomes categorized as Good. Seventy-six (85.4%) patients had %TWL ≥ 20, but only 34.8% patients had a final BMI < 35 kg/m². Statistical analysis revealed that younger patients have higher SF-BARI score related to comorbidities improvement.
Conclusion: Our findings suggest that both RYGB and SG lead to satisfactory long-term outcomes for treatment of patients with BMI above 50 kg/m², according to the SF-BARI Score. However only one third achieved a BMI below 35 kg/m². Younger patients seem to achieve better results, particularly comorbidity improvements. SF-BARI score is a comprehensive and intuitive web-based tool that may contribute for the standardization of reporting outcomes after MBS.
Mapping the social networks of key actors in the development of health technology assessment in Iran
Authors: Behzadifar Meysam , Bakhtiari Ahad , Azari Samad , Shahabi Saeed , Martini Mariano , Saran Maryam , Ehsanzadeh Seyed Jafar , Behzadifar Masoud 
Published: October 2024

Abstract

Background
Health Technology Assessment (HTA) plays a crucial role in informing health policy and ensuring the effective allocation of resources. In Iran, the development and implementation of HTA involve various key actors with differing levels of influence, interest, and support. Understanding the social networks and power dynamics among these actors is essential for optimizing HTA processes.
Methods
This study employed Social Network Analysis (SNA) to map the relationships and interactions among 27 identified stakeholders involved in HTA development in Iran. Data were collected through an online questionnaire distributed to 83 participants, assessing five dimensions: power, position, interest, influence, and support. Network metrics, including degree centrality, closeness centrality, betweenness centrality, and eigenvector centrality, were calculated to evaluate the roles and connections of each actor.
Results
The analysis revealed that the Ministry of Health and Medical Education, Food and Drug Administration, Insurance Organizations, and the Islamic Consultative Assembly (Parliament) are the most influential actors in the HTA network. The Plan and Budget Organization and National Institute of Health Research emerged as key connectors with high centrality metrics. Despite this, the network exhibited limited connectivity and sparse interactions among some actors, notably the Chamber of Commerce.
Conclusion
The study highlights the central roles of key institutions in HTA development while identifying gaps in stakeholder communication and connectivity. Enhancing collaboration and addressing these gaps are critical for improving HTA processes in Iran. Strengthening central coordination and stakeholder engagement will facilitate more effective HTA implementation and informed health policy decisions.
Differences in enrichment and soil safety thresholds of five vegetables grown in Cd-polluted soil of Chengdu Plain，China
Authors: Sun Xin , Gao Yang , Pan Shengwang 
Published: October 2024

Abstract

By analyzing the differences in the enrichment capacity of Cd in several vegetables, the health risks posed by the edible parts of vegetables to human beings under different levels of soil Cd contamination in Chengdu pain were assessed, and the corresponding vegetable-soil Cd safety thresholds were established. We compared and analyzed the enrichment capacity of various vegetable varieties for Cd under various soil Cd contamination levels (0.13, 0.20, 0.32, 0.73, and 1.02 mg kg− 1) using five commonly grown vegetable varieties (Lactuca sativa var longifoliaf. Lam(Romaine lettuce), Lactuca sativa var. ramosa Hort. (Cos lettuce), Brassica campestrisL.ssp.chinensis Makino var.communis Tsen et Lee(pakchoi), Raphanus sativus L. (oleander), and Lactuca sativa var. angustata(lettuce)) as research targets. We also assessed potential issues with food safety and health risks associated with Cd in vegetables using the Hazard Quotient (HQi) criterion for human health risk assessment. The possible hazards to food safety and health from lead (Cd) in vegetables were assessed using the HQi criteria, and the Cd safety levels for vegetable soil were definited. Results of the assessment of the health risk of food intake indicated that lettuce was more likely to pose a risk than the other four vegetables and that children were more likely to pose a risk than adults with the same intake of vegetables. The enrichment capacity of soil Cd in lettuce was found to be significantly higher than that of Romaine lettuce, Cos lettuce, pakchoi, and oleander(n = 5, P < 0.05). For the Chengdu Plain, the soil Cd safety thresholds were 0.32 mg kg− 1 for Romaine lettuce, Cos lettuce, pakchoi and oleander, and 0.20 mg kg− 1 for lettuce. These findings offer a scientific foundation for ensuring the quality and safety of vegetables, improving the environmental quality standards of Cd in farmland soils, and attaining the safe utilization of contaminated farmland.