bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stoic attitude in patients with cancer from the NEOcoping study: Cross-sectional study
Authors: Gomez David , Carmona-Bayonas Alberto , Hernandez Raquel , Higuera Oliver , Rogado Jacobo , Pacheco-Barcia Vilma , Valero María , Gil-Raga Mireia , Mar Muñoz Mª , Carrión-Galindo Rafael , Jimenez-Fonseca Paula , Calderon Caterina 
Published: July 2022

Aim
Stoicism has been applied to describe a wide range of behaviors in the face of disease and influences an individual’s use of coping strategies. This study tested the relationship between stoicism and social support, optimism, psychological distress, and coping strategies in patients with cancer.

Method
NEOcoping is a multicenter, cross-sectional study. Participants’ data were collected using a standardized, self-report form and LSS, MSPSS, Mini-MAC, BSI-18, and LOT-R questionnaires. Linear regression analyses were used to assess the association between stoicism and distress scores in both genders. A total of 932 individuals with non-metastatic, resected cancer were recruited.

Results
Males perceived a higher risk of recurrence and toxicity with adjuvant chemotherapy and obtained higher stoic attitude scores than females. Women scored higher on somatization, depression, and anxiety. Patients with high stoicism scores were older and experienced more maladaptive coping (helplessness, anxious preoccupation), and depression, while those with lower stoicism scores had greater perceived social support, optimism, and positive attitude. In both males and females, stoicism correlated negatively with perceived social support, optimism, and positive attitude, and positively with helplessness, anxious preoccupation, and depression. In men, stoicism was directly and negatively associated with social support and optimism, and positively with anxious preoccupation. In women, stoicism was positively associated. In women, stoicism was directly and negatively associated with social support and positively with age and optimism. Stoicism was directly and positively associated with helplessness.

Discussion
A stoic attitude was associated with lower social support, reduced optimism, and passive coping strategies (helplessness and anxious preoccupation) in this series of patients with cancer.
An evolutionary machine learning algorithm for cardiovascular disease risk prediction
Authors: Ordikhani Mohammad , Saniee Abadeh Mohammad , Prugger Christof , Hassannejad Razieh , Mohammadifard Noushin , Sarrafzadegan Nizal 
Published: July 2022

Introduction
This study developed a novel risk assessment model to predict the occurrence of cardiovascular disease (CVD) events. It uses a Genetic Algorithm (GA) to develop an easy-to-use model with high accuracy, calibrated based on the Isfahan Cohort Study (ICS) database.

Methods
The ICS was a population-based prospective cohort study of 6,504 healthy Iranian adults aged ≥ 35 years followed for incident CVD over ten years, from 2001 to 2010. To develop a risk score, the problem of predicting CVD was solved using a well-designed GA, and finally, the results were compared with classic machine learning (ML) and statistical methods.

Results
A number of risk scores such as the WHO, and PARS models were utilized as the baseline for comparison due to their similar chart-based models. The Framingham and PROCAM models were also applied to the dataset, with the area under a Receiver Operating Characteristic curve (AUROC) equal to 0.633 and 0.683, respectively. However, the more complex Deep Learning model using a three-layered Convolutional Neural Network (CNN) performed best among the ML models, with an AUROC of 0.74, and the GA-based eXplanaible Persian Atherosclerotic CVD Risk Stratification (XPARS) showed higher performance compared to the statistical methods. XPARS with eight features showed an AUROC of 0.76, and the XPARS with four features, showed an AUROC of 0.72.

Conclusion
A risk model that is extracted using GA substantially improves the prediction of CVD compared to conventional methods. It is clear, interpretable and can be a suitable replacement for conventional statistical methods.
A time motion study of manual versus artificial intelligence methods for wound assessment
Authors: Mohammed Heba Tallah , Bartlett Robert L. , Babb Deborah , Fraser Robert D. J. , Mannion David 
Published: July 2022

Objectives
This time-motion study explored the amount of time clinicians spent on wound assessments in a real-world environment using wound assessment digital application utilizing Artificial Intelligence (AI) vs. manual methods. The study also aimed at comparing the proportion of captured quality wound images on the first attempt by the assessment method.

Methods
Clinicians practicing at Valley Wound Center who agreed to join the study were asked to record the time needed to complete wound assessment activities for patients with active wounds referred for a routine evaluation on the follow-up days at the clinic. Assessment activities included: labelling wounds, capturing images, measuring wounds, calculating surface areas, and transferring data into the patient’s record.

Results
A total of 91 patients with 115 wounds were assessed. The average time to capture and access wound image with the AI digital tool was significantly faster than a standard digital camera with an average of 62 seconds (P<0.001). The digital application was significantly faster by 77% at accurately measuring and calculating the wound surface area with an average of 45.05 seconds (P<0.001). Overall, the average time to complete a wound assessment using Swift was significantly faster by 79%. Using the AI application, the staff completed all steps in about half of the time (54%) normally spent on manual wound evaluation activities. Moreover, acquiring acceptable wound image was significantly more likely to be achieved the first time using the digital tool than the manual methods (92.2% vs. 75.7%, P<0.004).

Conclusions
Using the digital assessment tool saved significant time for clinicians in assessing wounds. It also successfully captured quality wound images at the first attempt.
Usability of German hospital administrative claims data for healthcare research: General assessment and use case of multiple myeloma in Munich university hospital in 2015–2017
Authors: AlZahmi Amal , Cenzer Irena , Mansmann Ulrich , Ostermann Helmut , Theurich Sebastian , Schleinkofer Tobias , Berger Karin 
Published: July 2022

Objectives
To assess the usability of German hospital administrative claims data (GHACD) to determine inpatient management patterns, healthcare resource utilization, and quality-of-care in patients with multiple myeloma (PwMM).

Methods
Based on German tertiary hospital’s claims data (2015–2017), PwMM aged >18 years were included if they had an International Classification of Diseases, Tenth Revision, code of C90.0 or received anti-MM therapy. Subgroup analysis was performed on stem cell transplantation (SCT) patients.

Results
Of 230 PwMM, 59.1% were men; 56.1% were aged ≥65 years. Hypertension and infections were present in 50% and 67.0%, respectively. Seventy percent of PwMM received combination therapy. Innovative drugs such as bortezomib and lenalidomide were given to 36.1% and 10.9% of the patients, respectively. Mean number of admissions and mean hospitalization length/patient were 3.69 (standard deviation (SD) 2.71 (1–16)) and 12.52 (SD 9.55 (1–68.5)) days, respectively. In-hospital mortality was recorded in 12.2%. Seventy-two percent of SCT patients (n = 88) were aged ≤65 years, 22.7% required second transplantation, and 89.8% received platelet transfusion at a mean of 1.42(SD 0.63 (1–3)).

Conclusion
GHACD provided relevant information essential for healthcare studies about PwMM from routine care settings. Data fundamental for quality-of-care assessment were also captured.
Psychosocial interventions and mental health in patients with cardiovascular diseases living in low and middle-income countries: A systematic review protocol
Authors: Hirani Saima , Gowani Ambreen , Sajjad Sehrish , Kennedy Megan , Norris Colleen M. 
Published: July 2022

Objective
The objective of this review is to evaluate the effectiveness of psychosocial interventions on mental health outcomes in adult patients with Cardiovascular Diseases (CVDs) living in low- and middle-income countries (LMICs).

Introduction
Mental health issues are highly prevalent among patients with CVDs leading to poor disease prognosis, self-care/ management, and Quality of Life (QOL). In the context of LMICs, where the disease burden and treatment gap are high and resources are inadequate for accessing essential care, effective psychosocial interventions can make significant contributions for improving mental health and reducing mental health problems among patients who live with cardiovascular diseases.

Inclusion criteria
This review will include studies published between 2010 and 2021 that evaluated the effect of psychosocial interventions on mental health outcomes (resilience, self-efficacy, QOL, depression and anxiety) on adult patients (aged ≥18 years) with any cardiovascular diseases using experimental and quasi experimental designs.

Methods
The search will be conducted from the following databases: MEDLINE via OVID (1946—Present), EMBASE via OVID (1974 –Present), Cumulative Index for Nursing and Allied Health Literature (CINAHL) via EBSCOhost (1936—Present), PsycINFO via OVID (1806—Present), Scopus via Elsevier (1976—Present), and Cochrane Library via Wiley (1992—Present). Data will be critically appraised using standard tools and extracted by two reviewers and disagreement will be solved by the third reviewer. Meta-analysis will be performed, if possible, otherwise, data will be synthesized in narrative and tabular forms.

Discussion
The findings of this review will provide a key insight into contextually relevant psychosocial interventions for promoting mental health of patients with CVDs living in LMICs. The review findings will be potentially useful for health care providers and researchers to implement such interventions not only for reducing the burden of mental health issues but also for improving the overall well-being among patients with chronic illnesses.

Systematic review registration number
Prospero-CRD42020200773.
Optimal duration of the apnea test for determining brain death: Benefit of the short-term apnea test
Authors: Baik Seung Min , Park Jin , Kim Tae Yoon , Hong Kyung Sook 
Published: July 2022

Background
The criteria for brain death determination have not been unified globally, and there is no global consensus on the apnea test, which is essential for determining brain death. Since the apnea test is associated with many complications, we aimed to determine an optimal duration of the apnea test.

Methods
We analyzed the results of the apnea test performed for brain death determination between August 2013 and February 2021 at a single institution in South Korea. Elevations in the partial pressure of carbon dioxide and mean arterial blood pressure fluctuations over time in the apnea test were recorded.

Results
In the 1st and 2nd tests, the mean partial pressure of carbon dioxide increased by more than 20 mmHg at 3 min after the apnea test compared to before the test (P < 0.05). At 4 min in the 1st test and 5 min in the 2nd test, the partial pressure of carbon dioxide exceeded 60 mmHg (P < 0.05). The fluctuation in the mean arterial blood pressure observed for 5 min during the apnea test was not significant. There was no significant fluctuation in the mean arterial blood pressure over time in the apnea test between patients with normal chest radiography findings and those with abnormal chest radiography findings (P = 0.888).

Conclusions
Our study proposes that a short-term apnea test protocol is valid for the preservation of organs for donation.
Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis
Authors: Vitturi Bruno Kusznir , Rahmani Alborz , Dini Guglielmo , Montecucco Alfredo , Debarbieri Nicoletta , Bandiera Paolo , Battaglia Mario Alberto , Manacorda Tommaso , Persechino Benedetta , Buresti Giuliana , Ponzio Michela , Inglese Matilde , Durando Paolo 
Published: July 2022

Background
We aimed to summarise the prevalence of unemployment and early retirement among people with MS and analyze data according to a spatio-temporal perspective.

Methods
We undertook a systematic search of PubMed/MEDLINE, Scopus, SciVerse ScienceDirect, and Web of Science. We included any peer-reviewed original article reporting the prevalence of unemployment and early retirement in the working-age population with MS. We excluded articles off-topic, with other study designs, whose study sample were unlikely to be representative of the MS population and in case of unavailability of the full text or essential information. A random-effects meta-analysis was used to measure overall prevalence estimates of unemployment and early retirement. We used meta-regression and subgroup analysis to evaluate potential moderators of prevalence estimates and the leave-one-out method for sensitivity analyses.

Results
Our research identified 153 studies across 29 countries encompassing 188436 subjects with MS. The pooled overall effect size for unemployment and early retirement was 35.6% (95% CI 32.8–38.4; I2 = 99.31) and 17.2% (95% CI 14.6–20.2; I2 = 99.13), respectively. The prevalence of unemployment varied according to the year of publication (p < 0.001) and there was a statistically significant decrease in the prevalence of unemployment over time (p = 0.042). Regarding early retirement, only seven (31.8%) estimates obtained from studies that were published before 2010 were below the overall effect size in comparison to 27 (60.0%) estimates extracted from data published between 2010 and 2021 (p = 0.039). There was a significant difference in prevalence according to countries (p < 0.001). Psychiatric illness was an important clinical feature responsible for patients leaving the workforce in regions with a high MS prevalence.

Conclusions
Unemployment and early retirement due to MS remain highly prevalent, despite a slight decline in the last decade. The prevalence of unemployment and early retirement varies globally.
OER Impact Assessment: A framework for higher education institutions and beyond. Approaches to assess the impact of Open Educational Resources
Authors: Ebner Martin , Orr Dominic , Schön Sandra 
Published: July 2022

Abstract
The purpose of this paper is to provide an overview of approaches to and insights for impact assessment on open educational resources (OER) in higher education and building on this to sketch a framework for university focussed OER impact assessment. The authors describe the literature on impact assessment in the OER context and the existing contributions to OER impact assessment in higher education. Findings of the analysis are that there are few contributions on the effects of OER in general or of specific OER initiatives. Four contributions are presented in more detail. From these examples and the literature analysis, derivations, and challenges for OER impact assessment are drawn, such as the large diversity in OER purposes and the invisibility of the re-usage of OER. The contribution sketches a framework model for describing OER-relevant results, outcomes, and impact, and more specifically demonstrates how this can be done for exemplary OER-related objectives. This contribution is thus of relevance to funding bodies and institutions working in the context of higher education that wish to systematically evaluate and monitor statements about the effectiveness of OER activities according to the UNESCO (2019) OER recommendation.
Continuity properties and Bargmann mappings of quasi-Banach Orlicz modulation spaces
Authors: Toft Joachim , Üster Rüya , Nabizadeh Morsalfard Elmira , Öztop Serap 
Published: July 2022

Abstract
We deduce continuity, compactness and invariance properties for
quasi-Banach Orlicz modulation spaces on

ℝ
d

{\mathbb{R}^{d}}

. We characterize such spaces
in terms of Gabor expansions and by their images under the Bargmann transform.
Construction of an IoT customer operation analysis system based on big data analysis and human-centered artificial intelligence for web 4.0
Authors: Liu Xinxin , Liu Baojing , Han Chenye , Li Wei 
Published: July 2022

Abstract
Internet of thing (IoT) building sensors can capture several types of building operations, performances, and conditions and send them to a central dashboard to analyze data to support decision-making. Traditionally, laptops and cell phones are the majority of Internet-connected devices. IoT tracking allows customers to close the distance between devices and enterprises by collecting and analyzing various IoT data through connected devices, customers, and applications on the network. There is a lack of requirements for IoT edge applications security and approval. There are no best practices regarding operations focused on IoT incidents. IoT elements are not covered by audit and logging requirements. In this article, a big data analytics-based customer operation (BDA-CO) system analyzes the operation. With the exponential rise in data usage, the explosive development in the IoT devices reflects the ideal overlap of big data growth with IoT. Big data analytics continuously evolving network raises trivial questions about the performance, distribution of data, analysis, and protection of data collection. IoT modifies almost all the construction industry characteristics. Human-centered artificial intelligence is described as systems that always improve because of human input while also delivering an effective experience between the human and the robotic. The IoT is the key factor that ensures greater building performance. It was the first evolution of technology in a long time to turn genuine inventions into an industry that depended heavily on paper and manual processes. The benefits of the IoT in construction are now quite obviously much heavier than those of current manual processes. As a result, more construction companies explore and incorporate IoT strategies to address their productivity challenges, increasing efficiencies and profits. The simulation analysis shows that the proposed BDA-CO model enhances the trust score of 98.5%, accuracy detection ratio of 93.4%, probability ratio of 97.6%, and security ratio of 98.7% and reduces the false negative ratio of 21.3%, response time of 10.5%, delay rate of 19.9%, and packet loss ratio of 15.4% when compared to other existing techniques.
Low and high postpubertal ethanol use: damage on adulthood reproduction and offspring
Authors: Fioravante Vanessa Caroline , Godoi Alana Rezende , Camargo Victória Mokarzel de Barros , Pinheiro Patricia Fernanda Felipe , Martinez Marcelo , Padovani Carlos Roberto , Martinez Francisco Eduardo 
Published: July 2022

Graphical abstract

Abstract
The relationship between adolescent ethanol uses and its impacts throughout life are not conclusive. Thus, we evaluated if the low and high consumption of ethanol at postpuberty interferes with the reproduction and ethanol-naive offspring and if the effects are dose-related. Female and male rats were divided into three groups: low drinker (L), high drinker (H) and control (C). The L and H groups were exposed to ethanol up to 10 % from 65 to 80 days with withdrawal after this period. The ethanol consumed by low drinkers was 1.41 ± 0.21 g/kg/day and by high drinkers 4.59 ± 0.45 g/kg/day. The study was conducted in two phases. The first phase verified the reproductive capacity in adulthood on generations (litter size and sex ratio). Data were collected over 10 years. The second phase analyzed the parent reproductive parameters (body weight, reproductive organ weight, sperm parameters and estrous cycle) and the pup development. We observed a reduced litter size in both drinker groups. Gestational body weight gain and feed consumption were lower in L and H. We observed an alteration in reproductive organs weight in both sexes of H. Females presented a longer estrous cycle duration. Males presented an increase in abnormal sperm, a decrease in sperm count and accelerated transit time. The ethanol-naive offspring development was also impaired. We conclude that low and high postpubertal alcohol use impairs long-term reproductive parameters, even after alcohol withdrawal. There is also impaired ethanol-naive offspring. Besides, the effects are dose-related.

Lay summary
The effects of alcohol use have been reported in several studies. However, better knowledge about early alcohol use and its impact on reproduction in adulthood, after abstinence and on ethanol-naive offspring could help improve preventive measures and mechanisms of action. One of the methods used was retrospective analysis which allows to evaluate the effects of postpubertal ethanol use on the reproductive capacity of rats over generations. Despite our limitations, we verified that the post-adolescent period acts as a susceptibility window, and lifestyle at this age modulates the long-term reproductive parameters. The early ethanol use impairs reproduction function since sperm parameters and the estrous cycle have been altered. The dose of alcohol also contributes to damage on the drinkers’ reproduction and on the physical development of ethanol-naive offspring. Future studies are necessary to identify the mechanism involved in long-term alcohol use effects, even in withdrawal, as well as ethanol-naive offspring outcomes.
ENDOCELL-Seud: a Delphi protocol to harmonise methods in endometrial cell culturing
Authors: Romano Andrea , Guo Sun-Wei , Brosens Jan , Fazlebas Asgerally , Gargett Caroline E , Giselbrecht Stefan , Gotte Martin , Griffith Linda , Taylor Hugh S , Taylor Robert N , Vankelecom Hugo , Chapron Charles , Chang Xiao-Hong , Khan Khaleque N , Vigano’ Paola 
Published: July 2022

In vitro
culturing of endometrial cells obtained from the uterine mucosa or ectopic sites is used to study molecular and cellular signalling relevant to physiologic and pathologic reproductive conditions. However, the lack of consensus on standard operating procedures for deriving, characterising and maintaining primary cells in two- or three-dimensional cultures from eutopic or ectopic endometrium may be hindering progress in this area of research. Guidance for unbiased in vitro research methodologies in the field of reproductive science remains essential to increase confidence in the reliability of in vitro models. We present herein the protocol for a Delphi process to develop a consensus on in vitro methodologies using endometrial cells (ENDOCELL-Seud Project). A steering committee composed of leading scientists will select critical methodologies, topics and items that need to be harmonised and that will be included in a survey. An enlarged panel of experts (ENDOCELL-Seud Working Group) will be invited to participate in the survey and provide their ratings to the items to be harmonised. According to Delphi, an iterative investigation method will be adopted. Recommended measures will be finalised by the steering committee. The study received full ethical approval from the Ethical Committee of the Maastricht University (ref. FHML-REC/2021/103). The study findings will be available in both peer-reviewed articles and will also be disseminated to appropriate audiences at relevant conferences.

Lay summary
Patient-derived cells cultured in the lab are simple and cost-effective methods used to study biological and dysfunctional or disease processes. These tools are frequently used in the field of reproductive medicine. However, the lack of clear recommendations and standardised methodology to guide the laboratory work of researchers can produce results that are not always reproducible and sometimes are incorrect. To remedy this situation, we define here a method to ascertain if researchers who routinely culture cells in the lab agree or disagree on the optimal laboratory techniques. This method will be used to make recommendations for future researchers working in the field of reproductive biology to reproducibly culture endometrial cells in the laboratory.