bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social work scope of practice with Parkinson's disease: A qualitative study
Authors: Kreitzer Linda , Shurer Jessica , Book Elaine , Zerden Lisa , Guan Ting 
Published: November 2023

Summary The field of social work has seen increased recognition across many sectors in recent years. Evolving racial, political, and medical paradigms and the COVID-19 pandemic have shown the importance of a person-centered approach to health and mental health. One such area of practice is neurology, specifically work with people with Parkinson's disease (PD), which is the second most common neurodegenerative disease, currently impacting more than 10 million people worldwide. While social workers have long played key roles in multidisciplinary teams in PD care settings, research and literature offering assessment and evidence in this area remain limited. This research study used a mixed-methods approach with additional in-depth qualitative interviews conducted with 11 social workers. This article presents findings from the 11 interviewees who are presently working with people with PD using thematic analysis. Findings Themes emerging were an in-depth detailed role of the social worker, the importance of strong relationships working with people with PD and their families, multidisciplinary teams, and the community. Institutional challenges were highlighted concerning supporting social work positions and encouraging social work intervention from the beginning of diagnosis to the end stages of the disease. COVID-19 proved very challenging for social workers, multidisciplinary teams, and families, and yet positive practices were identified as well. Applications The impact of this study reinforces the essential role specialized PD social workers play in multidisciplinary PD teams and recognition needed to increase their role through early intervention reflected in increasing social work positions in neurology.
Quantitative radial force measurements of Woven EndoBridge devices
Authors: Kutbay Ugurhan , Algin Oktay 
Published: November 2023

Background Lateral/radial forces and the mechanical properties of Woven EndoBridge (WEB) devices have significant importance for therapeutic success. In other words, adequate apposition of the lateral wall of a cerebral aneurysm is critical for preventing recurrence or re-rupture risk. Objective This study aimed to investigate the pressure values applied by different WEB devices to the lateral walls of aneurysms and the relationships between these pressure measurements and the diameters of WEB devices. Methods By placing four WEB devices of different sizes and types between two rigid metal plates, the lateral forces applied by these WEB devices to plates of different apertures were measured quantitatively. We tested a single device of each size over multiple periods. The total number of examined WEB devices is four. Results There was a significant negative relationship between plate distances and pressure values (correlation coefficient:–0.956, p = 0.000). The lateral wall apposition pressure of a 4- or 5-mm aperture size was higher than a 6-mm aperture size for SL-type WEB devices with a 7-mm diameter. Similarly, the lateral wall apposition pressure detected for a 3- or 3.5-mm aperture size was higher than a 4-mm aperture size for W5-4.5-3 and W5-5-3.6. It was observed that maximum lateral wall pressure was detected in plate measurements of SLS-type devices compared to SL-type devices. The diameter and height values of 3 of the 4 unconstrained WEB devices analyzed differed from the catalog values. Conclusion It seems that SLS-type devices apply more pressure on the aneurysm's lateral borders than SL-type devices.
Preferences for telehealth: A qualitative study with people accessing a new mental health service
Authors: Honey Anne , Hines Monique , Barton Rebecca , Berry Bridget , Gilroy John , Glover Helen , Hancock Nicola , Waks Shifra , Wells Karen 
Published: November 2023

Objectives To examine preferences for telehealth versus in-person services for people who sought mental health support from an unfamiliar service during the COVID-19 pandemic and to identify the factors that influenced these preferences. Methods Data are drawn from semi-structured interviews with 45 participants (32 people who accessed mental health services, 7 informal support people, and 6 people who accessed services themselves as well as identifying as informal supports). Data relating to experiences of telehealth, comparisons with in-person services and preferences were coded inductively and analysed using qualitative content analysis. Results Just over half of the participants in our sample preferred telehealth or at least regarded it as a suitable option. Those who preferred telehealth were more likely to have had direct experience, particularly via videoconferencing, as part of their access to this new mental health service. Reasons for preferring in-person services included belief in the superiority of interpersonal communication in these settings, compatibility with personal communication style and discomfort with technology. Those preferring telehealth cited its convenience, elimination of the need to travel for services, the comfort and safety afforded by accessing services at home and the ability to communicate more openly. Conclusions Hybrid models of care which harness the unique benefits of both in-person and remote service modalities appear to have a legitimate place in models of mental health care outside of pandemic situations. These results illuminate the potential of telehealth services when engaging with people seeking mental health help for the first time and in situations where existing relationships with service providers have not yet been established.
Challenges and Potentials of Implementing Discussion-Based Instruction in Elementary and Middle School Classrooms: An Interview With Catherine Snow at Harvard Graduate School of Education
Authors: Deng (邓兹韵) Ziyun , Xu (徐敬宜) Jingyi , Jiang (蒋奕楠) Yinan , Choi (최유진) Yoo Jin , Koomplee (สุชาครีย์ คุ้มปลี) Suchakrey , Ye (叶羽) Yu 
Published: November 2023

Highlights This article consists of an interview with Professor Catherine Snow, an expert on English language and literacy education. The interview aims to introduce discussion-based instruction to educational practitioners. Discussion-based instruction inspires students to take initiatives and increases their engagement in the classroom. It is recommended that a dilemma without a singular answer should be set as the discussion topic. Discussion-based instruction can be combined with traditional lecture-based instruction. It helps students become better readers, thinkers, and writers, facilitating their achievements in standardized assessments. The article highlights that teachers can switch their roles from being owners and conveyors of knowledge to becoming fellow knowledge seekers with their students.
The relationship between uncertainty and acute procedure anxiety among surgical patients in Chinese mainland: the mediating role of resilience
Authors: Wu Min , Dai Suwan , Wang Rong , Yang Silan 
Published: November 2023

Abstract
Background
Surgery, as one of the main diagnostic and treatment methods, is a routine work in medical settings. Patients undergoing surgery often experience acute procedure anxiety due to uncertainty. There is ample evidence showing that uncertainty is a risk factor for the acute procedure anxiety in surgical patients. However, little is known about the psychological processes mediating this relationship. Therefore, this study aims to evaluate resilience as a mediator of the association between uncertainty and anxiety.

Methods
A population-based cross-sectional survey with a convenience sampling method was conducted, involving 243 surgical patients in Jiaxing, Zhejiang province of China was carried out. Relevant data were collected by self-reporting questionnaires, including demographic characteristics questionnaire, Amsterdam Preoperative Anxiety and Information Scale (APAIS-C), Mishel’s Illness Uncertainty Scale (MUIS), Connor-Davidson Resilience Scale (CD-RISC). Pearson correlation analysis was employed to examine correlations between various variables. A path model was used to assess the mediation effect of resilience with respect to uncertainty and acute procedure anxiety.

Results
In the path model, uncertainty have an indirect effect on acute procedure anxiety through resilience. The results suggest that resilience has a mediating role in uncertainty and acute procedure anxiety among surgical patients.

Conclusions
These findings call for the development of interventions targeting the role of resilience in effectively predicting and preventing acute procedure anxiety and uncertainty among surgical patients.
Cluster features in fibrosing interstitial lung disease and associations with prognosis
Authors: Wang Yuanying , Sun Di , Wang Jingwei , Yu Shiwen , Wu Na , Ye Qiao 
Published: November 2023

Abstract
Background
Clustering is helpful in identifying subtypes in complex fibrosing interstitial lung disease (F-ILD) and associating them with prognosis at an early stage of the disease to improve treatment management. We aimed to identify associations between clinical characteristics and outcomes in patients with F-ILD.

Methods
Retrospectively, 575 out of 926 patients with F-ILD were eligible for analysis. Four clusters were identified based on baseline data using cluster analysis. The clinical characteristics and outcomes were compared among the groups.

Results
Cluster 1 was characterized by a high prevalence of comorbidities and hypoxemia at rest, with the worst lung function at baseline; Cluster 2 by young female patients with less or no smoking history; Cluster 3 by male patients with highest smoking history, the most noticeable signs of velcro crackles and clubbing of fingers, and the severe lung involvement on chest image; Cluster 4 by male patients with a high percentage of occupational or environmental exposure. Clusters 1 (median overall survival [OS] = 7.0 years) and 3 (OS = 5.9 years) had shorter OS than Clusters 2 (OS = not reached, Cluster 1: p < 0.001, Cluster 3: p < 0.001) and 4 (OS = not reached, Cluster 1: p = 0.004, Cluster 3: p < 0.001). Clusters 1 and 3 had a higher cumulative incidence of acute exacerbation than Clusters 2 (Cluster 1: p < 0.001, Cluster 3: p = 0.014) and 4 (Cluster 1: p < 0.001, Cluster 3: p = 0.006). Stratification by using clusters also independently predicted acute exacerbation (p < 0.001) and overall survival (p < 0.001).

Conclusions
The high degree of disease heterogeneity of F-ILD can be underscored by four clusters based on clinical characteristics, which may be helpful in predicting the risk of fibrosis progression, acute exacerbation and overall survival.
States’ racial resentment correlates with administrative distancing and lower rates of health plan selection in affordable care act marketplaces: a cross sectional analysis
Authors: Snowden Lonnie R , Graaf Genevieve 
Published: November 2023

AbstractBackgroundIn the United States, the Affordable Care Act (ACA) pursued equity in healthcare access and treatment, but ACA implementation varied, especially limiting African Americans’ gains. Marketplaces for subsidized purchase of coverage were sometimes implemented with limited outreach and enrollment assistance efforts. Reflecting state’s ACA receptivity or reluctance, state’s implementation may rest on sociopolitical stances and racial sentiments. Some states were unwilling to provide publicly supported healthcare to nonelderly, non-disabled adults— “the undeserving poor” —who evoke anti-black stereotypes. The present study assessed whether some states shunned Affordable Care Act (ACA) marketplaces and implemented them less vigorously than other states, leading to fewer eligible persons selecting insurance plans. It assessed if states’ actions were motivated by racial resentment, because states connote marketplaces to be government assistance for unworthy African Americans.MethodsUsing marketplace and plan selection data from 2015, we rated states’ marketplace structures along a four-level continuum indicating greater acceptance of marketplaces, ranging from states assuming sole responsibility to minimal responsibility. Using national data from a four-question modern racism scale, state-wide racial resentment estimates were estimated at the state level. Analysis assessed associations between state levels of racial resentment with states’ marketplace structure. Further analysis assessed relationships between both state levels of racial resentment and states’ marketplace structure with states’ consumer plan selection rates—representing the proportion of persons eligible to enroll in insurance plans who selected a plan.ResultsRacial resentment was greater in states with less responsibility for the administration of the marketplaces than actively participating states. States higher in racial resentment also showed lower rates of plan selection, pointing to less commitment to implementing marketplace provisions and fulfilling the ACA’s coverage-improvement mission. Differences persisted after controlling for differences in conservatism, uninsurance, poor health, and rejection of Medicaid expansion.ConclusionsResentment of African Americans’ purported irresponsibility and entitlement to government assistance may interfere with states structuring and operating marketplaces to maximize health insurance opportunities for everyone available under the ACA.Trial registrationN/A.
Machine learning radiomics of magnetic resonance imaging predicts recurrence-free survival after surgery and correlation of LncRNAs in patients with breast cancer: a multicenter cohort study
Authors: Yu Yunfang , Ren Wei , He Zifan , Chen Yongjian , Tan Yujie , Mao Luhui , Ouyang Wenhao , Lu Nian , Ouyang Jie , Chen Kai , Li Chenchen , Zhang Rong , Wu Zhuo , Su Fengxi , Wang Zehua , Hu Qiugen , Xie Chuanmiao , Yao Herui 
Published: November 2023

Abstract
Background
Several studies have indicated that magnetic resonance imaging radiomics can predict survival in patients with breast cancer, but the potential biological underpinning remains indistinct. Herein, we aim to develop an interpretable deep-learning-based network for classifying recurrence risk and revealing the potential biological mechanisms.

Methods
In this multicenter study, 1113 nonmetastatic invasive breast cancer patients were included, and were divided into the training cohort (n = 698), the validation cohort (n = 171), and the testing cohort (n = 244). The Radiomic DeepSurv Net (RDeepNet) model was constructed using the Cox proportional hazards deep neural network DeepSurv for predicting individual recurrence risk. RNA-sequencing was performed to explore the association between radiomics and tumor microenvironment. Correlation and variance analyses were conducted to examine changes of radiomics among patients with different therapeutic responses and after neoadjuvant chemotherapy. The association and quantitative relation of radiomics and epigenetic molecular characteristics were further analyzed to reveal the mechanisms of radiomics.

Results
The RDeepNet model showed a significant association with recurrence-free survival (RFS) (HR 0.03, 95% CI 0.02–0.06, P < 0.001) and achieved AUCs of 0.98, 0.94, and 0.92 for 1-, 2-, and 3-year RFS, respectively. In the validation and testing cohorts, the RDeepNet model could also clarify patients into high- and low-risk groups, and demonstrated AUCs of 0.91 and 0.94 for 3-year RFS, respectively. Radiomic features displayed differential expression between the two risk groups. Furthermore, the generalizability of RDeepNet model was confirmed across different molecular subtypes and patient populations with different therapy regimens (All P < 0.001). The study also identified variations in radiomic features among patients with diverse therapeutic responses and after neoadjuvant chemotherapy. Importantly, a significant correlation between radiomics and long non-coding RNAs (lncRNAs) was discovered. A key lncRNA was found to be noninvasively quantified by a deep learning-based radiomics prediction model with AUCs of 0.79 in the training cohort and 0.77 in the testing cohort.

Conclusions
This study demonstrates that machine learning radiomics of MRI can effectively predict RFS after surgery in patients with breast cancer, and highlights the feasibility of non-invasive quantification of lncRNAs using radiomics, which indicates the potential of radiomics in guiding treatment decisions.
Extracellular matrix modulates the spatial hepatic features in hepatocyte-like cells derived from human embryonic stem cells
Authors: Farhan Faiza , Trivedi Manjari , Di Wu Priscilla , Cui Wei 
Published: November 2023

Abstract
Background
Human pluripotent stem cell (hPSC)-derived hepatocyte-like cells (HLCs) can provide a valuable in vitro model for disease modelling and drug development. However, generating HLCs with characteristics comparable to hepatocytes in vivo is challenging. Extracellular matrix (ECM) plays an important role in supporting liver development and hepatocyte functions, but their impact on hepatocyte differentiation and maturation during hPSC differentiation remains unclear. Here, we investigate the effects of two ECM components—Matrigel and type I collagen on hepatic differentiation of human embryonic stem cells (hESCs).

Methods
hESC-derived HLCs were generated through multistage differentiation in two-dimensional (2D) and three-dimensional (3D) cultures, incorporating either type I collagen or Matrigel during hepatic specification and maturation. The resulting HLCs was characterized for their gene expression and functionality using various molecular and cellular techniques.

Results
Our results showed that HLCs cultured with collagen exhibited a significant increase in albumin and alpha-1 anti-trypsin expression with reduced AFP compared to HLCs cultured with Matrigel. They also secreted more urea than Matrigel cultures. However, these HLCs exhibited lower CYP3A4 activity and glycogen storage than those cultured with Matrigel. These functional differences in HLCs between collagen and Matrigel cultures closely resembled the hepatocytes of periportal and pericentral zones, respectively.

Conclusion
Our study demonstrates that Matrigel and collagen have differential effects on the differentiation and functionality of HLCs, which resemble, to an extent, hepatic zonation in the liver lobules. Our finding has an important impact on the generation of hPSC-HLCs for biomedical and medical applications.
Throughput maximization for irregular reconfigurable intelligent surface assisted NOMA systems
Authors: Zhang Weilin , Wang Lingyi , Mao Hangtao , Wang Zi , Wu Wei 
Published: November 2023

AbstractReconfigurable intelligent surface (RIS) is an emerging technology to improve the spectral efficiency of wireless communication systems. However, the high complexity of beam design and the non-negligible overhead associated with RIS limit the number of elements that can be deployed in practice. In this paper, we investigate the downlink communications of irregularly deployed intelligent reflecting surfaces that assist non-orthogonal multiple access (NOMA) systems. To address this challenge, we propose a novel four-step resource allocation algorithm. Specifically, we first obtain a sub-optimal solution for the sparse deployment of RIS elements using a Simulated Annealing Algorithm. We then solve the power allocation problem by employing an integer optimization algorithm that continuously iterates the immobile point. To simplify and optimize the reflection coefficient matrix, we propose a construction inequality algorithm. Finally, we optimize the channel assignment using a genetic algorithm. The simulation results demonstrate that the proposed irregular RIS-assisted NOMA system outperforms the traditional RIS-assisted orthogonal multiple access system, with a maximum throughput increase of approximately 30%.
Sources of Myanmar’s economic growth during 2010–2015: input–output analysis
Authors: THEIN Ei Ei , INABA Kazuo 
Published: November 2023

AbstractThis paper examines Myanmar’s economic structure and its sources of economic growth during the period of economic reformation from 2010 to 2015. The study compares the economic performance of Myanmar with that of four other ASEAN countries employing the backward linkage and deviation from proportional growth (DPG) approaches. The data used for the analysis are sourced from the Eora global database and the Asian Development Bank’s database. During 2010–2015, Myanmar experienced significant gross production expansion with the growth rate of 1.84 times, which stands as the highest among the selected countries. Despite its high economic growth, Myanmar lags behind the four other ASEAN countries in terms of industrialization and international trade. Myanmar’s economy mainly relies on domestic market with poor international trade record. The analysis of backward linkages reveals that the transport equipment sector made the largest contribution to output growth in Myanmar. On the other hand, DPG approach indicates that Myanmar’s economic growth during 2010–2015 can be mainly attributed to the expansion of the public administration sector, driven by increased consumption and public and private investment. Industrialization remained underdeveloped until 2015 with the manufacturing sectors not significantly impacting on economy and export growth. Despite some improvements in manufacturing sectors after 2016, the promotion of the manufacturing sectors and agriculture sector is still necessary to foster export and output expansion.
Rumen microbial degradation of bromoform from red seaweed (Asparagopsis taxiformis) and the impact on rumen fermentation and methanogenic archaea
Authors: Romero Pedro , Belanche Alejandro , Jiménez Elisabeth , Hueso Rafael , Ramos-Morales Eva , Salwen Joan King , Kebreab Ermias , Yáñez-Ruiz David R. 
Published: November 2023

Abstract
Background
The red macroalgae Asparagopsis is an effective methanogenesis inhibitor due to the presence of halogenated methane (CH4) analogues, primarily bromoform (CHBr3). This study aimed to investigate the degradation process of CHBr3 from A. taxiformis in the rumen and whether this process is diet-dependent. An in vitro batch culture system was used according to a 2 × 2 factorial design, assessing two A. taxiformis inclusion rates [0 (CTL) and 2% DM diet (AT)] and two diets [high-concentrate (HC) and high-forage diet (HF)]. Incubations lasted for 72 h and samples of headspace and fermentation liquid were taken at 0, 0.5, 1, 3, 6, 8, 12, 16, 24, 48 and 72 h to assess the pattern of degradation of CHBr3 into dibromomethane (CH2Br2) and fermentation parameters. Additionally, an in vitro experiment with pure cultures of seven methanogens strains (Methanobrevibacter smithii, Methanobrevibacter ruminantium, Methanosphaera stadtmanae, Methanosarcina barkeri, Methanobrevibacter millerae, Methanothermobacter wolfei and Methanobacterium mobile) was conducted to test the effects of increasing concentrations of CHBr3 (0.4, 2, 10 and 50 µmol/L).

Results
The addition of AT significantly decreased CH4 production (P = 0.002) and the acetate:propionate ratio (P = 0.003) during a 72-h incubation. The concentrations of CHBr3 showed a rapid decrease with nearly 90% degraded within the first 3 h of incubation. On the contrary, CH2Br2 concentration quickly increased during the first 6 h and then gradually decreased towards the end of the incubation. Neither CHBr3 degradation nor CH2Br2 synthesis were affected by the type of diet used as substrate, suggesting that the fermentation rate is not a driving factor involved in CHBr3 degradation. The in vitro culture of methanogens showed a dose-response effect of CHBr3 by inhibiting the growth of M. smithii, M. ruminantium, M. stadtmanae, M. barkeri, M. millerae, M. wolfei, and M. mobile.

Conclusions
The present work demonstrated that CHBr3 from A. taxiformis is quickly degraded to CH2Br2 in the rumen and that the fermentation rate promoted by different diets is not a driving factor involved in CHBr3 degradation.