bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of predictors and construction of a prediction model for the quality of life in laryngeal carcinoma patients in China using revised core nursing outcomes
Authors: Ding Yongxia , Tian Yanzhi , Duan Ruirui , Xu Jing , Yang Huixian , Xu Jinxia , Tang Liyun 
Published: December 2024

Abstract
Background
This study aimed to identify potential predictors and construct a predictive model for the quality of life (QoL) in patients with laryngeal carcinoma (LC) using the revised core nursing outcomes.

Methods
We recruited 331 LC patients underwent laryngectomy between March 2018 and March 2022 from three hospitals. The revised core nursing outcomes contained 14 items in the “Physiologic Health,” “Psychosocial Health,” “Health Knowledge & Behavior,” and “Perceived Health”, while the QoL was assessed using the Chinese version of the Functional Assessment of Cancer Therapy-Head and Neck. Potential predictors of QoL were explored using logistic regression analysis, and odds ratio (OR) with 95% confidence interval (CI) was applied as effect estimates. A prediction model was constructed to predict QoL using the receiver operating characteristic (ROC) curve, and the predictive value was assessed using the area under the ROC curve (AUC).

Results
Of the 331 included patients, 137 had a poor QoL. After adjusting for potential confounding factors, we noted female sex (OR: 10.91; 95%CI: 1.24–96.14; P = 0.031), and alcohol consumption (OR: 4.55; 95%CI: 1.32–14.29; P = 0.017) were associated with an elevated incidence of poor QoL, while age 50.0–65.0 years (OR: 0.02; 95%CI: 0.00-0.15; P < 0.001), junior high school as the highest level of schooling (OR: 0.10; 95%CI: 0.03–0.33; P < 0.001), living in cities and towns (OR: 0.07; 95%CI: 0.02–0.37; P = 0.002), and partial laryngectomy (OR: 0.10; 95%CI: 0.03–0.41; P = 0.001) were associated with a lower incidence of poor QoL. Moreover, Physiologic Health score (OR: 1.16; 95%CI: 1.06–1.27; P = 0.001), Psychosocial Health score (OR: 0.48; 95%CI: 0.39–0.58; P < 0.001), Health Knowledge & Behavior score (OR: 0.92; 95%CI: 0.86–0.97; P = 0.006), and Perceived Health score (OR: 0.36; 95%CI: 0.25–0.52; P < 0.001) were associated with the incidence of QoL in LC patients. The constructed prediction model based on these factors had an AUC for predicting QoL of 0.96 (95% CI: 0.94–0.98).

Conclusions
This study found age, sex, educational status, residential location, alcohol consumption, surgical approach, and the revised core nursing outcomes are significantly associated with QoL in LC patients. The predictive value of the constructed model was high, which suggesting the clinical nurses should pay attention to the evaluation of postoperative care outcomes in order to enhance QoL.
Acute remote home monitoring of acutely ill patients with COVID-19: how Dutch home monitoring initiatives were organized during the pandemic
Authors: Smit Karin , van Uum Rick T. , Rijks Stella , van de Pol Alma C. , Ahmad Abeer , Venekamp Roderick P. , Rutten Frans H. , Zwart Dorien L. M. ,   the Dutch General Practitioners Research Consortium
Published: December 2024

Abstract
Background
Acute remote home monitoring of acutely ill patients with COVID-19 holds potential for early detection of deterioration and thus subsequentearly intervention that may prevent or mitigate progression to severe illness and need for respiratory support. Our aim was to describe common features of acute remote home monitoring programs for acutely ill patients with COVID-19 in the Netherlands.

Methods
We performed literature searches (both grey and academic) between 1st March 2020 and 1st March 2023 to identify Dutch acute remote home monitoring initiatives, excluding studies on early hospital discharge. From the available protocols, we extracted relevant information on patient eligibility, organization of acute remote home monitoring and home management.

Results
We identified and approached ten acute remote home monitoring initiatives for information regarding their used protocols. Seven out of ten protocols were retrieved and assessed. All initiatives focused on adult patients with COVID-19 who where at risk of developing severe COVID-19, and all initiatives provided close follow-up through remote home monitoring using medically certified pulse oximeters. Daily measurements included peripheral oxygen saturation (all initiatives, n = 7), body temperature (n = 6), heart frequency per minute (n = 4) and breathing rate per minute (n = 4). For follow-up and review of measured values, in most initiatives (n = 6) the physician (general practitioner or hospital physician) in charge was supported by a dedicated monitoring center. In 5 out of 7 initiatives, the general practitioner (GP) was responsible for supervising the patients and monitoring staff.

Conclusion
The acute remote home monitoring initiatives that emerged in the Netherlands during the first wave of the COVID-19 pandemic were similarly organized. Common building blocks for home monitoring include daily check of peripheral oxygen saturation, monitoring through a dedicated remote monitoring center alongside healthcare personnel and a supervising physician.
Comparing the contents of patient-reported outcome measures for fatigue: EORTC CAT Core, EORTC QLQ-C30, EORTC QLQ-FA12, FACIT, PRO-CTCAE, PROMIS, Brief Fatigue Inventory, Multidimensional Fatigue Inventory, and Piper Fatigue Scale
Authors: Rothmund Maria , Pilz Micha J. , Egeter Nathalie , Lidington Emma , Piccinin Claire , Arraras Juan I. , Groenvold Mogens , Holzner Bernhard , van Leeuwen Marieke , Petersen Morten Aa. , Ramage John , Schmidt Heike , Young Teresa , Giesinger Johannes M. ,   on behalf of the EORTC Quality of Life Group
Published: December 2024

Abstract
Background
To assess fatigue in cancer patients, several patient-reported outcome measures (PROMs) are available that differ in content. To support the selection of suitable measures for specific applications and to evaluate possibilities of quantitative linking, the present study provides a content comparison of common fatigue measures, scales, and item banks. We included the EORTC CAT Core, EORTC QLQ-FA12, EORTC QLQ-C30, FACIT-F, PROMIS Fatigue (Cancer item bank v1.0), Brief Fatigue Inventory (BFI), Multidimensional Fatigue Inventory (MFI-20), Piper Fatigue Scale (PFS-12), and PRO-CTCAE.

Methods
All items of the included measures were linked to the International Classification of Functioning, Disability and Health (ICF). Additionally, they were categorized as assessing general, physical, emotional, or cognitive fatigue. Descriptive statistics were used to display the contents covered in each measure and to allow for a qualitative comparison.

Results
The measures consist of 160 items in total and covered primarily contents of the ICF components ‘Body functions’, ‘Activities and participation’, and ‘Environmental Factors’. Most ICF codings refer to ‘b1300 Energy level’ (9–67% of the codings per instrument; 47% of all coded content). Within the broad categorization of types of fatigue, most items were classified as general fatigue (33–100% of the codings per instrument; 49% of the overall item pool). While the EORTC CAT Core focuses exclusively on physical and general fatigue, FACIT and BFI additionally assess emotional fatigue. The EORTC QLQ-FA12, PROMIS, MFI-20, and PFS-12 cover all fatigue components, including cognitive fatigue.

Discussion
The review provides an in-depth content comparison of PROMs assessing cancer-related fatigue. This can inform the selection of suitable measures in different clinical contexts. Furthermore, it will inform quantitative analyses to facilitate comparison of scores obtained with different PROMs.
Evaluating the significance of Toxoplasma gondii sporozoite antibodies in cats: a pilot study
Authors: Scott Janelle , Morris Arianne , Hawley Jennifer , Scorza Andrea Valeria , Henriksen Michala , Lappin Michael 
Published: December 2024

Abstract
Background
People can acquire Toxoplasma gondii infection by ingestion of sporulated oocysts passed in cat feces; whether this route is common in cats is unknown. The primary objectives of this study were to (a) adapt a commercially available enzyme-linked immunosorbent assay (ELISA) for the detection of T. gondii tachyzoite IgG antibodies in feline sera to detect T. gondii sporozoite IgG antibodies, (b) utilize the ELISA to confirm that exposed cats can mount an antibody response to sporozoites, (c) estimate the prevalence of sporozoite antibodies in naturally exposed cats, and (d) evaluate associations between the serologic status of naturally exposed cats and clinical signs that could be caused by toxoplasmosis.

Methods
To generate positive control sera, three male cats were orally inoculated with approximately 100,000 sporulated oocysts of the ME49 strain of T. gondii. A human antisporozoite antibody ELISA was then adapted for use with cat sera. Detectable levels of antisporozoite IgG were found in two of the three experimentally inoculated cats. The sera of 100 healthy cats and 295 clinically ill cats were assessed in the prototype sporozoite ELISA and a commercially available tachyzoite ELISA.

Results
The ELISA estimated that prevalence of antisporozoite IgG was 2% in healthy cats and 3.1% in clinically ill cats; in contrast, the overall estimated prevalence of antitachyzoite IgG was 15%. Only two of 395 cats (0.5%) had both antisporozoite and antitachyzoite IgG.

Conclusions
While experimentally infected and naturally exposed cats developed antisporozoite antibodies, the low prevalence did not allow for the evaluation of associations among clinical signs.

Graphical Abstract
Community-based psychosocial support interventions to reduce stigma and improve mental health of people with infectious diseases: a scoping review
Authors: Anindhita Mariska , Haniifah Matsna , Putri Arieska Malia Novia , Karnasih Artasya , Agiananda Feranindhya , Yani Finny Fitry , Haya Marinda Asiah Nuril , Pakasi Trevino Aristaskus , Widyahening Indah Suci , Fuady Ahmad , Wingfield Tom 
Published: December 2024

Abstract
Background
Stigma experienced by people with infectious diseases impedes access to care, leading to adverse psychosocial consequences. Community-based interventions could prevent or mitigate these consequences but lack robust evidence. This scoping review aimed to identify and critically appraise community-based psychosocial support interventions to reduce stigma and improve mental health for people affected by stigmatizing infectious diseases including tuberculosis (TB), HIV/AIDS, and leprosy.

Methods
This was a scoping review of literature indexed in PubMed, Web of Science, Elton B. Stephens Company (EBSCO) database, as well as reports in the World Health Organization repository, published from January 2000 to June 2023. We included research articles and reports addressing stigma and mental health disorders among individuals with TB, HIV/AIDS, or leprosy and/or their household members in low- and middle-income and/or high TB burden countries. We extracted information regarding types of psychosocial interventions and their reported impact on health and psychosocial indicators.

Results
Thirty studies were included in this review: 21 (70%) related to HIV/AIDS, seven (23%) leprosy, and two (7%) TB. Of these, eleven were quantitative studies, nine qualitative, and ten mixed-methods. Eleven community-based interventions were reported to reduce infectious disease-related stigma, predominantly internalized and enacted stigma, and improve adherence to medication, quality of life, health-related knowledge, depression symptoms, and psychosocial wellbeing. Most studies involved lay people in the community as supporters of those affected. The predominant reported mechanism of intervention effect was the ability of supporters to enable those affected to feel seen and listened to, to accept their diagnosis, to improve their self-esteem, and to facilitate continuation of their daily lives, and thereby reducing anticipated stigma, self-stigma, and mental illness. Adequate training for lay people was reported to be essential to ensure success of interventions.

Conclusions
This review identified a paucity of high-quality evidence relating to community-based interventions to reduce stigma for infectious diseases. However, such interventions have been reported to reduce stigma and improve mental health among people with HIV/AIDS, leprosy, and TB. Engaging affected communities and peers, through the conception, planning, training, implementation, and evaluation phases, was reported to be essential to optimise intervention uptake, impact, and sustainability.
Dynamic response analysis of ancient pagodas under rockfall impact
Authors: Li XiaoPeng , He Qing , Zhao Guangxing , Ling Kangjie , Liu Dewen , Liu Yang 
Published: December 2024

Abstract
In order to protect the precious cultural heritage of the pagoda in the mountainous area from the damage caused by falling rocks, we provide targeted and effective research support and protection strategy basis. ABAQUS finite element analysis software is used to accurately simulate and analyze the response of the pagoda under the impact load of falling rocks. Firstly, the geometric modeling of the tower structure is carried out in a meticulous manner to ensure that the model accurately reflects the real shape and structural characteristics of the tower, and the material properties are assigned to it rigorously and accurately, so as to construct a finite element model that is highly adapted to the actual situation. Subsequently, the impacts of falling rocks on the pagoda under different working conditions, such as different velocities, radii, impact angles and impact heights, are comprehensively and systematically simulated to assess the structural safety and stability of the pagoda from all angles. This paper clearly reveals that the velocity, radius, impact angle and impact height of falling stones are the core key position in the structural safety assessment of the pagoda, and they are the decisive factors affecting the structural safety of the pagoda. These findings not only deepen the scientific knowledge of the response mechanism of the pagoda under the impact of falling rocks, but also provide a solid theoretical foundation and a clear direction for the subsequent development of accurate and efficient protection measures against falling rocks.
From adiposity to steatosis: metabolic dysfunction-associated steatotic liver disease, a hepatic expression of metabolic syndrome – current insights and future directions
Authors: Basil Bruno , Myke-Mbata Blessing K. , Eze Onyinye E. , Akubue Augustine U. 
Published: December 2024

Abstract
Background
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing health concern and the risk of its development is connected with the increasing prevalence of metabolic syndrome (MetS) which occurs as a result of some complex obesity-induced metabolic changes. It is a common chronic liver disease characterized by excessive fat accumulation in the liver, the tendency to progress to more severe forms, and a corresponding increase in morbidity and mortality. Thus, effectively addressing the rising burden of the disease requires a thorough understanding of its complex interrelationship with obesity and MetS.

Main Body
MASLD results from complex interactions involving obesity, insulin resistance, and dyslipidaemia, leading to hepatic lipid accumulation, and is influenced by several genetic and environmental factors such as diet and gut microbiota dysbiosis. It has extensive metabolic and non-metabolic implications, including links to MetS components like hyperglycaemia, hypertension, and dyslipidaemia, and progresses to significant liver damage and other extra-hepatic risks like cardiovascular disease and certain cancers. Diagnosis often relies on imaging and histology, with non-invasive methods preferred over liver biopsies. Emerging biomarkers and OMIC technologies offer improved diagnostic capabilities but face practical challenges. Advancements in artificial intelligence (AI), lifestyle interventions, and pharmacological treatments show promise, with future efforts focusing on precision medicine and novel diagnostic tools to improve patient outcome.

Conclusion
Understanding the pathogenic mechanisms underlying the development of MASLD within the context of metabolic syndrome (MetS) is essential for identifying potential therapeutic targets. Advancements in non-invasive diagnostic tools and novel pharmacological treatments, hold promise for improving the management of MASLD. Future research should focus on precision medicine and innovative therapies to effectively address the disease and its consequences.
The types, characteristics, and contemporary implications of the Interaction-Exchange-Integration History of Chinese religious-cultures
Authors: Sun Wuhu , Banbur Dorje , Li Yue 
Published: December 2024

AbstractHistorically, China’s religious culture centered on the triumvirate of Confucianism, Taoism, and Buddhism, fostering a diverse, multi-ethnic, and multi-faceted communication model. Whether through grand narratives of official diplomacy, subtle and organic grassroots interactions, or the catalytic efforts of scholars, these exchanges consistently promoted interaction, exchange, and integration among numerous ethnic groups in China. The harmonious coexistence and vibrant interactions of multiple ethnicities and diverse religious beliefs not only enriched and expanded the mainstreams of traditional Chinese culture, namely Confucianism, Taoism, and Buddhism—developing flourishing branches and generating new innovations—but also infused fresh vitality into each ethnicity’s cultural practices. Together, these exchanges formed the profound, enduring, diverse and unified Chinese culture. This article primarily examines the types and characteristics of Interaction-Exchange-Integration History among diverse religious cultures of ethnic groups such as the Han, Tibetan, and Mongolian in Chinese history and derives insights from them for the contemporary era.
Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning
Authors: Wang Linxuan , Xu Jinghua , Zhang Shuyou , Tan Jianrong , Fei Shaomei , Shi Xuezhi , Pang Jihong , Luo Sheng 
Published: December 2024

AbstractThis study presents an energy consumption (EC) forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning (FTL). To predict the EC of manufacturing products, particularly from scale-down to scale-up, a general paradigm was first developed by categorizing the overall process into three main sub-steps. The operating electrical power was further formulated as a combinatorial function, based on which an operator learning network was adopted to fit the nonlinear relations between the fabricating arguments and EC. Parallel-arranged networks were constructed to investigate the impacts of fabrication variables and devices on power. Considering the interconnections among these factors, the outputs of the neural networks were blended and fused to jointly predict the electrical power. Most innovatively, large artifacts can be decomposed into time-dependent laser-scanning trajectories, which can be further transformed into fusionable information via neural networks, inspired by large language model. Accordingly, transfer learning can deal with either scale-down or scale-up forecasting, namely, FTL with scalability within artifact structures. The effectiveness of the proposed FTL was verified through physical fabrication experiments via laser powder bed fusion. The relative error of the average and overall EC predictions based on FTL was maintained below 0.83%. The melting fusion quality was examined using metallographic diagrams. The proposed FTL framework can forecast the EC of scaled structures, which is particularly helpful in price estimation and quotation of large metal products towards carbon peaking and carbon neutrality.
Adenomyosis or endometrial carcinoma? Radiological pitfalls in postmenopausal diagnosis: a case report
Authors: Kumar Naina , Sharma Abhimanyu , Mangla Mishu , Srirambhatla Annapurna 
Published: December 2024

Abstract
Background
Adenomyosis and endometrial carcinoma present distinct pathological conditions that pose considerable diagnostic hurdles, especially in postmenopausal women, as they share common clinical manifestations. Furthermore, postmenopausal adenomyosis may exhibit radiological features resembling those of endometrial carcinoma, potentially leading to misdiagnosis and inappropriate management.

Case presentation
A 64-year-old para four and live four (P4L4) postmenopausal woman, who had been postmenopausal for 15 years, sought evaluation at the Gynecological Outpatient Department due to heavy postmenopausal bleeding lasting 30–45 days. Ultrasonography and MRI findings indicated a loss of the endo-myometrial junctional zone, delayed enhancement of the lesion, and suspected myometrial invasion, suggestive of endometrial malignancy, alongside a polypoidal lesion. Given the strong suspicion of endometrial carcinoma, the patient underwent hysteroscopy-guided endometrial biopsy. However, histopathological analysis revealed disordered proliferative endometrium with no evidence of malignancy. Considering the patient's age, symptoms, and MRI findings, exploratory laparotomy with total abdominal hysterectomy and bilateral salpingo-oophorectomy was planned. Subsequent histopathological examination confirmed adenomyosis of the uterus, with the fallopian tubes and ovaries found to be healthy.

Conclusion
The present case report underscores the radiological challenges encountered in distinguishing adenomyosis from endometrial carcinoma in postmenopausal women, emphasizing the importance of a multidisciplinary approach to enhance diagnostic accuracy and improve patient outcomes in this population.
Subclinical cardiac dysfunction detected by speckle-tracking echocardiography in patients with liver cirrhosis undergoing liver transplantation
Authors: Thu Nguyen Tai , Hai Pham Dang , Ly Nguyen Thi Kieu , Son Pham Nguyen , Thanh Nguyen Huu , Thien Dang Hoang 
Published: December 2024

Abstract
Background
Cirrhosis is associated with chronic cardiovascular dysfunction termed cirrhotic cardiomyopathy (CCM), characterized by myocardial hypertrophy and diastolic dysfunction. Detecting early cardiac changes is crucial, especially in patients undergoing liver transplantation. Objective: This study aims to evaluate left ventricular systolic function in cirrhotic patients undergoing liver transplantation using speckle-tracking echocardiography.

Methods
A prospective observational study was conducted involving 54 cirrhotic patients who underwent liver transplantation, along with 28 age- and sex-matched healthy controls. Echocardiography, including conventional and two-dimensional speckle tracking echocardiography (2D-STE), was performed at baseline and one-month post-transplantation.

Results
The mean age in the cirrhotic group was 52.2 ± 12.7 years, with no significant difference compared to the control group. Viral hepatitis was the predominant etiology of cirrhosis (68.6%). Conventional echocardiography did not reveal significant differences between groups in LV ejection fraction [62% (56–69) vs. 59% (56–62); p = 0.830]. However, in cirrhotic patients, 2D-STE demonstrated significantly lower LV global longitudinal strain (LV-GLS) [17.5 (15.5–19.1) vs 19.0 (18.0–19.7), p = 0.006]. Post-transplantation, conventional echocardiography indices remained unchanged, while 2D-STE showed remarkable improvement in LV function, with increased LV-GLS compared to pre-transplantation value.

Conclusions
2D-STE is a valuable tool for detecting and monitoring left ventricular systolic dysfunction in liver cirrhosis patients, particularly following transplantation. While conventional echocardiography may not detect subtle changes, 2D-STE reveals improvements in LV function post-transplantation, emphasizing its role in assessing cirrhotic cardiomyopathy.