bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive modeling of Futile Recanalization: Endovascular treatment postoperative intravenous tirofiban use was associated with a lower rate of futile recanalization
Authors: Huang Jie , Li Xiaoxiong , Liang chunrong , Li jinping , Ma Lingqiu , Ma Jinjin , Hou Mingliang , Li Ling 
Published: April 2024

Abstract

Background
Approximately 54% of patients with endovascular treatment will have futile recanalization, and the cause of this is not yet clear. Therefore, in this study, we aimed to build a risk prediction model to Identify the characteristics of such patients
Methods
Acute ischemic stroke participants from the Daping Hospital, endovascular treatment Project database were included. The predictors of futile recanalization were identified by single- and multi-factor analyses; then, the least absolute contraction and selection operator regression model (lasso) was used to optimize the characteristic variables. Finally, the prediction model was obtained by multi-factor logistic regression fitting, and a nomogram of futile recanalization risk after endovascular treatment of acute cerebral infarction was drawn. Receiver operating characteristic curve and C-index, calibration curve, and decision curve analysis were used to evaluate the discrimination, calibration degree, and clinical utility of the prediction model, respectively. Finally, a bootstrap algorithm was used to internally verify the C-index of the prediction model.
Results
Finally, predictive models showed an area under the curve of was 0.975 (90% CI: 0.953–0.997). Age (OR: 1.09, 95% CI: 1.00–1.19), the TOAST classification (OR: 0.10, 95% CI: 0.01–0.76), infection (OR: 390.18, 95% CI: 6.18–24656.32), the NIHSS score at discharge (OR: 1.40, 95% CI: 1.18–1.67), and tirofiban use (OR: 0.13, 95% CI: 0.02–0.94) were included in the model.
Conclusions
The clinical utility curve of DCA showed good clinical utility. our results support the argument that Endovascular treatment after intravenous tirofiban use was associated with a lower rate of futile recanalization.
Transition from Vulnerability to Resilience to Dust: A Mixed-Methods Research
Authors: Khakifirouz Zahra , Niknami Mehrdad , Keshavarz Marzieh , Sabouri Mohammad Sadegh 
Published: April 2024

Abstract

Dust storms (DSs) are among the major environmental problems. Deprived of coherent and scientifically acceptable policies, most governments have failed to manage effectively this recurring phenomenon. Currently, many organizations aim to enhance the resilience of communities and manage hazards such as dust through educational measures. The present study investigated the farmers’ resilience and the factors reducing their vulnerability to DS events. To this end, a mixed-methods research approach was employed. This approach includes applying the Grounded Theory and Survey methods in the qualitative and quantitative phases. Qualitative findings were analyzed using Atlas. ti 9 software and the factors affecting farmers’ resilience to dust were extracted at the end of the qualitative phase. Meanwhile, the model of the factors affecting the increased level of resilience and the effect of resilience in reducing the vulnerability of farmers to dust were extracted in the quantitative phase. The model was designed and validated using structural equation modeling (SEM) through the partial least squares (PLS) method in the SmartPLS3 software. The findings of the qualitative phase demonstrated that the factors affecting farmers’ resilience to dust include economic, education extension, and support factors. In the quantitative phase, modeling results revealed that assets and access to basic services (ABS) were among the important dimensions of resilience. Furthermore, educational and extension factors had a significant positive effect on increasing resilience and reducing vulnerability.
How effective is the early warning and risk management systems of psychiatric patients based on the Swiss cheese model？
Authors: Wang Yuxiu , Zhang Ruike , Wang Huan 
Published: April 2024

Abstract

Background Patient safety is a key issue of healthcare. It is especially difficult for psychiatric patients to prevent accidents such as suicide, self-injury, violent behavior, flee behavior, food choking, and tumbling because of cognitive, emotional, behavioral, and volitional disorders. There is limited research on early warning and risk management of psychiatric patients based on the Swiss cheese model. This study aims to develop early warning and risk management systems for psychiatric patients based on the Swiss cheese model and to evaluate the effectiveness of clinical practice.
Methods This quasi-experimental study was conducted between January 2021 and December 2022. 6198 participants recruited from January to December 2021 who received conventional therapy and nursing were included in the control group. 6114 participants recruited from January to December 2022, were included in the experimental group. The experimental group received early warning and risk management in addition to conventional therapy and nursing.
Results There were no significant differences in the demographic characteristics between the two groups (all P>0.05). The incidence rate of adverse events and grade III and above adverse events decreased significantly following the intervention (P< 0.05). The score of the nurses' safety attitude survey was higher than that of the control group (P < 0.05).
Conclusion The implementation of early warning and risk management systems in psychiatric nursing based on the Swiss cheese model can reduce the occurrence of nursingadverse events, improve nurses’ safety attitudes, and enhance the quality and safety of nursing.
Combination of cadonilimab (anti-PD-1 and CTLA-4 bispecific antibody) with chemotherapy in anti-PD-1 resistant recurrent or metastatic nasopharyngeal carcinoma: an open-label, single-arm, phase II clinical trial
Authors: Xiang Yanqun , Jiang Yao-Fei , Bei Wei-Xin , Wang Lin , Lu Nian , Xu Cheng , Liang Hu , Ke Liang-Ru , Ye Yanfang , Fang Ting , He Shuiqing , Dong Shu-Hui , Liu Qin , Zhang Chuan-Run , Wang Xu-Guang , Xia Wei-Xiong , Zhao Chong , Xie Changqing , Liu Guoying 
Published: April 2024

Abstract

Treatment options are limited for patients with recurrent or metastatic nasopharyngeal carcinoma (RM-NPC) after failure to anti-PD-1 therapy. Cadonilimab (AK104) is a humanized bispecific antibody that targets to PD-1 and CTLA-4. We aimed to evaluate the efficacy and safety of cadonilimab plus TPC chemotherapy (NAB-paclitaxel, cisplatin or lobaplatin, and capecitabine) in patients with RM-NPC who failed to at least one line of systemic chemotherapy and anti-PD-1 therapy. In this phase II clinical trial (ChiCRT2200067057), 25 patients were enrolled and received cadonilimab plus TPC chemotherapy every three weeks for up to six cycles followed by maintenance treatment of cadonilimab plus capecitabine. Here we report on the primary outcome of objective response rate (ORR) and secondary endpoints of progression-free survival, overall survival, duration of response, and safety. This trial met its prespecified primary endpoint of ORR (68%, 95% CI, 48-88), with 3 complete response (12%), 14 partial response (56%), 6 stable disease (24%). Grade ≥3 treatment-related adverse events were occurred in 12 (48%) patients, with the most common being anemia (6[24%]) and neutropenia (6[24%]). This phase II trial shows that cadonilimab in combination with TPC chemotherapy demonstrated satisfactory antitumoral efficacy and manageable toxicities in patients with systemic chemotherapy and anti-PD-1 therapy resistance RM-NPC.
Natural Resource Revenues and Double Taxation Treaties in Developing Countries: Evidence from Neural Networks
Authors: KINDA Harouna , Tagem Abrams 
Published: April 2024

Abstract

This paper investigates the effects of double taxation treaties on resource revenue mobilization in 83 resource-rich countries from 2000 to 2019 by applying standard panel fixed effects and methods-of-moments approaches. We calculate countries’ centrality indices by year based on their importance in the tax treaty network and show that centrality indices have a negative relationship with resource revenue mobilization—findings that are robust to alternative centrality indices and government revenue aggregates. We also use the betweenness centrality index to identify countries characterized as intermediate jurisdictions (countries - classified as investment or tax hubs based on their betweenness centrality index, which is above the median), arguing that multinational companies can structure their investments to benefit from the low tax burden in these countries. Applying the entropy balancing method, we find evidence of a negative effect on resource revenue mobilization due to signing tax treaties with country-classified investment or tax hubs.
Keywords: centrality indices, double taxation treaties, entropy balancing, resource revenue mobilization, withholding taxes.
JEL Codes: F21, F23, H26, Q32
Evaluating Leadership Dynamics: A Comprehensive Cross-Sectional Study of Madinah's Primary Healthcare Centers
Authors: Abuljood Muhannad , Almatrafi Mohammed , Alsolami Ali , Aloufi Yousef , Abualkhair Ahmed 
Published: April 2024

Abstract

Objectives: This study focuses on the effectiveness of healthcare leadership in primary health care centers in Madinah, Saudi Arabia, examining the interplay between leadership styles, emotional intelligence, and their impact on leadership effectiveness. Emphasizing the critical role of primary healthcare as outlined by the World Health Organization, the research addresses the gap in understanding leadership dynamics within the Saudi healthcare context.
Methods: A cross-sectional design was used, involving 89 managers and deputies from 48 primary health care centers in Madinah city, Saudi Arabia in 2023. primary health care centers in Madinah. The methodology included a comprehensive questionnaire assessing leadership effectiveness, emotional intelligence, and socio-demographic variables. Data analysis was performed using SPSS version 26, incorporating chi-square tests, t-tests, ANOVA, Pearson correlation, and binary logistic regression for statistical evaluation.
Results: The findings revealed a high level of leadership effectiveness (79.8%) among the study participants. Emotional intelligence emerged as a significant factor in effective leadership, evidenced by a strong positive correlation (r=0.75; p=0.001) between emotional intelligence and leadership effectiveness. The study also observed a predominant preference for democratic leadership styles among participants, with no significant variance in leadership effectiveness across different styles. A notable area for improvement identified was self-awareness among healthcare leaders.
Conclusion: The research concludes that effective healthcare leadership, significantly influenced by emotional intelligence, is essential for reaching a high-quality primary healthcare. It advocates for the integration of emotional intelligence training, especially focusing on self-awareness, in leadership development programs for healthcare professionals.
Calibrating the compass of care Nurses' experience of everyday coping in the complex home care setting
Authors: Brimi Ann-Kristin , Sjølie Berit Mosseng 
Published: April 2024

Abstract

Background Public home care services are a significant part of the healthcare system in Norway. The increase in patient numbers has put pressure on the service to meet legal requirements while maintaining economic sustainability and service quality. Concepts such as everyday coping, rooted in the principles of occupational and physical therapy, have been introduced as a shifting mindset to transform caregiving into self-reliance. Despite a distinct shifting mindset, there is little knowledge about how concepts of everyday coping influence nurses’ role in home care. The aim of this study was to gain knowledge about how nurses’ experience of everyday coping in home health care influences nurses’ role in caring for patients. Methods An interpretive approach was chosen following Graneheim and Lundman’s qualitative content analysis. The data were collected through individual semistructured interviews. Eight nurses with different seniority levels and varied work experience were recruited as respondents for this study. The respondents represented two different home care service institutions in rural northern Norway. Results “Calibrating the compass of care” emerged as an overarching metaphor to describe nurses’ experiences of how the concept of everyday coping in home health care influences nurses’ role in caring for patients based on three themes: 1) labyrinth landscape with resource-constrained settings; 2) navigating ethical crossroads; and 3) navigating nursing instincts through formal mandates. Conclusions Despite the intentions to maintain quality of service in home care services through an approach to everyday coping and self-reliance for patients, nurses experience implications for their caregiving. Nurses find the resource-constrained situation demanding when patients introduce their unique needs. Furthermore, they face dilemmas and challenges that intersect with patients’ expectations and their professional responsibilities. For instance, they balance the desire to promote patient independence with the need to provide essential care, especially for elderly and frail individuals. Finally, the nurses express the challenges they experience in following formal procedures while respecting the patient’s autonomy. The results of this study show that changes in Norwegian home care may have been implemented without a clear understanding of the consequences for the core values of nursing care.
Local convergence for a Chebyshev-type method free from second derivative in Banach spaces
Authors: Ruan Dongdong , Wang Xiaofeng 
Published: April 2024

Abstract
In this paper, local convergence for a Chebyshev-type method free from second derivative is studied in Banach spaces. Previous studies prove convergence under conditions based on the third or higher derivative. However, we study the convergence under Lipschitz continuity conditions based on the first derivative. In contrast to the conditions used in previous studies, the conditions of our convergence are weaker. In this way, uniqueness of the solution and the radii of convergence balls also are analyzed. Also, Taylor expansion, which is often used in convergence analysis, is avoided. Thus the applicability of the method is extended. Two numerical examples are used to prove the criteria of convergence.
Mathematics Subject Classification (2010). 99Z99; 00A00.
Research on small target detection in aerial images based on Yolov7 and Transformer
Authors: zhang xiaoli , zuo guocai , gao le , wang yusi 
Published: April 2024

Abstract

With the further development of the network, it has become more rare to obtain effective feature information of small targets in aerial images, and the resulting detection accuracy has become more challenging. To solve this problem, this paper combines the target detection algorithm YOLOv7, and introduces the neighborhood attention transformer (NAT) module based on it. A small target detection method based on Yolov7 and Transformer for aerial images is proposed. Compared with the traditional CNN module, the local feature Transformer at any two locations can interact and correlate, obtain more context information and capture more global information. By introducing location offset information, NAT also retains the advantages of visual Transformer, and further improves the effect of local feature extraction. In addition, considering the limited computing resources of edge computing devices, this paper adopts Light-weight Convolutional Encoder Network (LCEN) and introduces an embedded hierarchical attention network in the feature extraction stage. To balance the detection accuracy and inference speed of the model. The experimental data fully prove that the proposed method is effective in solving the problem of small target detection in aerial images. In addition, when compared with other mainstream aerial small target detection models on the two datasets, the proposed method shows higher average accuracy. It is especially worth mentioning that compared with the latest aerial scene target detection model TPH-YOLOv5, the average accuracy of the proposed method is improved by 7.34%.
Surgery lengthens survival for collecting duct carcinoma: Analysis of Hospital-Based Cancer Registry data in Japan
Authors: Kandori Shuya , Suzuki Shuhei , Kojo Kosuke , Isoda Bunpei , Tanaka Takazo , Nitta Satoshi , Shiga Masanobu , Nagumo Yoshiyuki , Ikeda Atsushi , Kawahara Takashi , Hoshi Akio , Negoro Hiromitsu , Mathis Bryan J. , Okuyama Ayako , Higashi Takahiro , Nishiyama Hiroyuki 
Published: April 2024

Abstract

Background To identify the prognosis of Japanese patients with collecting duct carcinoma (CDC).
Methods We used a hospital-based cancer registry data in Japan to extract CDC cases that were diagnosed in 2013, histologically confirmed, and determined the first course of treatment. We further investigated treatment modalities and estimated overall survival (OS) by the Kaplan-Meier method.
Results A total of 61 CDC patients were identified. The 5-year OS rates for all CDC patients in Japan at 2013 were 23.6% (95% CI: 15.0-37.4), with a median OS of 14 months (95% CI: 12-24). The 5-year OS rate for CDC patients at stages I, III, and IV were 53.0% (95% CI: 29.9-94.0), 35.7% (95% CI: 19.8-64.4), and 3.4% (95% CI: 0.5-23.7), respectively. Noteworthy, the 1-year OS for stage IV patients was 27.6% (95% CI: 0.5-23.7) and the median OS was only 5 months (95% CI: 4-12). We further examined the OS for advanced disease according to treatment modalities. The median OS for chemotherapy alone was significantly shorter than surgery alone (4 months [95% CI: 4-4] vs. 15 months [95% CI: 13-68]; p<0.001).
Conclusions Japanese CDC patients face poor prognoses similar to Western countries, especially in advanced cases that receive only chemotherapy. Surgery appears necessary for advanced disease.
"30% fewer workers for electric vehicle assembly": harbinger or myth?
Authors: Weng Andrew , Ahmed Omar , Ehrlich Gabriel , Stefanopoulou Anna 
Published: April 2024

Abstract

It has been widely hypothesized that the transition to battery electric vehicles will require 30% fewer assembly workers compared to internal combustion engine vehicles. This work uses publicly available datasets on vehicle production and employment to show that vehicle assembly plants in the U.S. that have previously assembled internal combustion vehicles but have since fully transitioned to assembling battery electric vehicles have required more, not fewer, workers to assemble the same number of vehicles. Our study suggests that widespread loss of employment at electric vehicle assembly sites is a smaller risk than many fear. Moreover, our study serves as a call for more regionally-focused analyses of the transition's effects on labor using data-driven and macro-level surveying approaches.
Patient-Centered Lean Healthcare Management from a Humanistic Perspective
Authors: Chen Min , Guan Qing , Zhuang Jianmin 
Published: April 2024

Abstract

Background
Healthcare organizations are under pressure to improve services because of an aging population and increasing healthcare demands. Lean healthcare management, focused on enhancing service quality and efficiency with limited resources, tends to overlook patients' emotional needs and experiences. This study advocates integrating medical humanities with lean healthcare to develop a patient-centered service model.
Methods
The study employs literature review to discuss the critical role of medical humanities in lean healthcare frameworks, both theoretical and practical. Additionally, it conducts a qualitative study through semi-structured interviews to explore strategies for developing a humanistic lean healthcare model. The study conducted semi-structured interviews with 8 management staff and doctors at a tertiary hospital that actively adopts this approach.
Results
Eight (5 female and 3 male) management staff and doctors were interviewed between January and March 2024 at their chosen location. Firstly, the study identifies key benefits of integrating medical humanities into lean healthcare, including: (1) Enhancing service personalization and comprehensiveness. (2) Building trust in doctor-patient relationships. (3) Boosting healthcare team satisfaction. Secondly, it highlights strategies for a humanistic approach: (1) Comprehensive patient assessments and personalized treatments. (2) Enhanced doctor-patient communication for emotional resonance. (3) Medical environment optimization for humanized services. (4) Development of humanistic qualities in healthcare professionals. (5) Effective use of information technology. Additionally, the study also addresses potential issues with lean healthcare's focus on profitability and proposes preventive measures: (1) Implement a scientific evaluation and incentive mechanism. (2) Enhancing transparency and oversight in healthcare. (3) Cultivating a Patient-centric medical culture.
Conclusions
A patient-centered lean healthcare model, informed by medical humanities, can guide medical institutions in enhancing service quality and efficiency, supporting comprehensive medical reforms in China. It can also serve as a reference for other countries.
The COVID-19 pandemic immediately increased the suicide rate in Kobe, Japan, especially among populations without psychiatry and primary care physician visits: Interrupted time-series analysis using a population-based database
Authors: Miyamori Daisuke , Nagasaki Yasushi , Yoshida Shuhei , Kashima Saori , Omori Wataru , Itagaki Kei , Ito Masanori 
Published: April 2024

Abstract

Background
Japan has one of the lowest numbers of deaths due to coronavirus disease (COVID-19). However, the annual number of suicides increased for the first time in 2020, after a downward trend since 2007.
Objective
This study aimed to identify high-risk populations and assess the impact of medical visits on suicide trends in Japan following the COVID-19 pandemic.
Method
This quasi-experimental study used a population-based database from Hyogo Prefecture between 2012 and 2022. Interrupted time-series analyses were used to identify immediate and slope changes in the monthly number of suicides during the exposure period (2020-2022) compared with the control (2012-2019). The analysis was stratified according to the status of psychiatric department and primary care physician visits.
Results: A totalof 2181 cases were included. Two-thirds of the cases were male, with a median age of 54. Primary care physicians and psychiatric history were present in 69% and 40% of the patients, respectively. The level change was 4.46 (95%CI; 1.83, 7.09), 3.04 (95%CI; 1.45, 4.64), and 3.07 (95%CI; 0.60, 5.53), in the overall, no primary care physician visit, and no psychiatric visits groups, respectively, which were significant. The level change was not significant in the groups with primary care and psychiatric department visits, at 1.07 (95%CI; -0.84, 2.98) and 0.64 (95%CI; -1.05, 2.33), respectively. The slope changes were not significant in any group.
Conclusion: This study suggests that visits to a medical institution may have helped prevent the rapid increase in suicides during the early stages of the COVID-19 pandemic.