bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Pragmatic Approach to Introducing Translational Geroscience Into the Clinic: A Paradigm Based on the Incremental Progression of Aging-Related Clinical Research
Authors: Forman Daniel E , Pignolo Robert J 
Published: August 2024

Abstract
Geroscience posits that molecular drivers underlie the aging process. Gerotherapeutics entail strategies to counter molecular drivers of aging to reduce the chronic diseases and geriatric syndromes they trigger. Although the concept of gerotherapeutics for prevention has generated much excitement, the implications of prescribing potentially harmful medications to older adults who are “healthy” have been associated with many delays. Concerns regarding safety and valid endpoints have contributed to holdups. In contrast, it has been relatively easier to implement trials of medications with gerotherapeutic properties as novel approaches to remedy disease. In these applications, the risks of the medications are easier to justify when therapeutic benefits are perceived as outweighing the harms of the disease. Likewise, metrics of effective disease treatments are often seen as more reliable and quantifiable than metrics of health prolongation. Overall, clarifying geroscience mechanisms in disease therapeutic applications provides key opportunities to advance translational geroscience, especially as preventive geroscience trials are often encumbered. In this review, gerotherapeutic benefits of canakinumab, cholchicine, and zoledronic acid as parts of disease management are considered. Longevity Clinics and other opportunities to advance translational geroscience as parts of contemporary care are also discussed.
Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging
Authors: Bartolomucci Alessandro , Kane Alice E , Gaydosh Lauren , Razzoli Maria , McCoy Brianah M , Ehninger Dan , Chen Brian H , Howlett Susan E , Snyder-Mackler Noah 
Published: August 2024

Abstract
For centuries, aging was considered inevitable and immutable. Geroscience provides the conceptual framework to shift this focus toward a new view that regards aging as an active biological process, and the biological age of an individual as a modifiable entity. Significant steps forward have been made toward the identification of biomarkers for and measures of biological age, yet knowledge gaps in geroscience are still numerous. Animal models of aging are the focus of this perspective, which discusses how experimental design can be optimized to inform and refine the development of translationally relevant measures and biomarkers of biological age. We provide recommendations to the field, including: the design of longitudinal studies in which subjects are deeply phenotyped via repeated multilevel behavioral/social/molecular assays; the need to consider sociobehavioral variables relevant for the species studied; and finally, the importance of assessing age of onset, severity of pathologies, and age-at-death. We highlight approaches to integrate biomarkers and measures of functional impairment using machine learning approaches designed to estimate biological age as well as to predict future health declines and mortality. We expect that advances in animal models of aging will be crucial for the future of translational geroscience but also for the next chapter of medicine.
Multimode ambient noise double-beamforming tomography with a dense linear array: revealing accretionary wedge architecture across Central Taiwan
Authors: Liu Cheng-Nan , Lin Fan-Chi , Huang Hsin-Hua , Wang Yu , Gkogkas Konstantinos 
Published: August 2024

SUMMARY
Taiwan, one of the most active orogenic belts in the world, undergoes orogenic processes that can be elucidated by the doubly vergent wedge model, explaining the extensive island-wide geological deformation. To provide a clearer depiction of its cross-island orogenic architecture, we apply ambient noise tomography across an east–west linear seismic array in central Taiwan, constructing the first high-resolution 2-D shear velocity model of the upper crust in the region. We observe robust fundamental- and higher-mode Rayleigh waves, with the latter being mainly present in the western Coastal Plain. We develop a multimode double-beamforming method to determine local phase velocities across the array between 2- and 5-s periods. For each location, we jointly invert all available fundamental- and higher-mode phase velocities using a Bayesian-based inversion method to obtain a 1-D model. All 1-D models are then combined to form a final 2-D model from the surface to ∼10 km depth. Our newly developed 2-D model clearly delineates major structural boundaries and fault geometries across central Taiwan, thereby corroborating the previously proposed pro-wedge and retro-wedge models while offering insight into regional seismic hazards.
Genome-wide association study identifies the genetic basis of key agronomic traits in 207 sugar beet accessions
Authors: Wang Sufang , Yue Zhiyong , Yu Chao , Wang Ruili , Sui Yang , Hou Yaguang , Zhao Ying , Zhao Lingling , Chen Chunmei , Yang Zhimin , Shao Ke 
Published: August 2024

Abstract
Sugar beet (Beta vulgaris) has emerged as one of the two primary crops, alongside sugarcane, for global sugar production. Comprehensively understanding sucrose synthesis, transport, and accumulation in sugar beet holds great significance for enhancing sugar production. In this study, we collected a diverse set of 269 sugar beet accessions worldwide and measured 12 phenotypes, comprising biomass, soluble sugar content, and 10 taproot-related traits. We re-sequenced 207 accessions to explore genetic diversity and population structure. Then we employed a genome-wide association study (GWAS) and RNA-seq to identify single-nucleotide polymorphisms and genes associated with natural phenotypic variations. Our findings revealed a panel of genes potentially regulating biomass and sugar accumulation, notably the dual-role gene UDP-glucose 4-epimerase, which genetically balances sugar accumulation and cell wall synthesis. In summary, this study provides a foundation for molecular breeding in sugar beet.
Developing a Machine-Learning Prediction Model for Infliximab Response in Crohn’s Disease: Integrating Clinical Characteristics and Longitudinal Laboratory Trends
Authors: Qiu Yun , Hu Shixian , Chao Kang , Huang Lingjie , Huang Zicheng , Mao Ren , Su Fengyuan , Zhang Chuhan , Lin Xiaoqing , Cao Qian , Gao Xiang , Chen Minhu 
Published: August 2024

Abstract

Background
Achieving long-term clinical remission in Crohn’s disease (CD) with antitumor necrosis factor α (anti-TNF-α) agents remains challenging.

Aims
This study aims to establish a prediction model based on patients’ clinical characteristics using a machine-learning approach to predict the long-term efficacy of infliximab (IFX).

Methods
Three cohorts comprising 746 patients with CD were included from 3 inflammatory bowel disease (IBD) centers between June 2013 and January 2022. Clinical records were collected from baseline, 14-, 30-, and 52-week post-IFX treatment. Three machine-learning approaches were employed to develop predictive models based on 23 baseline predictors. The SHapley Additive exPlanations (SHAP) algorithm was used to dissect underlying predictors, and latent class mixed model (LCMM) was applied for trajectory analysis of the longitudinal change of blood routine tests along with long-term IFX therapy.

Results
The XGBoost model exhibited the best discrimination between long-term responders and nonresponders. In the internal training and testing set, the model achieved an AUC of 0.91 (95% CI, 0.86-0.95) and 0.71 (95% CI, 0.66-0.87), respectively. Moreover, it achieved a moderate predictive performance in the independent external cohort, with an AUC of 0.68 (95% CI, 0.59-0.77). The SHAP algorithm revealed disease-relevant laboratory measurements, notably hemoglobin (HB), white blood cells (WBC), erythrocyte sedimentation rate (ESR), albumin (ALB), and platelets (PLT), alongside age at diagnosis and the Montreal classification, as the most influential predictors. Furthermore, 2 distinct patient clusters based on dynamic laboratory tests were identified for monitoring the long-term remission.

Conclusions
The established prediction model demonstrated remarkable discriminatory power in distinguishing long-term responders from nonresponders to IFX therapy. The identification of distinct patient clusters further emphasizes the need for tailored therapeutic approaches in CD management.
Poor performance of regime shift detection methods in marine ecosystems
Authors: Haines Hannah , Planque Benjamin , Buttay Lucie 
Published: August 2024

Abstract
Regime shifts have been reported as ubiquitous features across the world’s oceans. Many regime shift detection methods are available, but their performance is rarely evaluated, and the supporting evidence for regime shifts may be thin because of the nature of marine ecological time series that are often short, autocorrelated, and uncertain. In the Norwegian Sea, a regime shift has been reported to have occurred in the mid-2000s, with simultaneous changes in oceanography, plankton, and fish. Here, we evaluate the evidence for this regime shift using four commonly used regime shift detection methods (Strucchange, STARS, EnvCpt, and Chronological Clustering) on 32 annual time series that describe the main components of the Norwegian Sea ecosystem, from hydrography and primary production up to fish population metrics. We quantify the performance of each method by measuring its false-positive rate, i.e. the proportion of times the method detects a regime shift that was not present in simulated control time series. Our results show that all methods have high to very high false-positive rates. This challenges the evidence for a regime shift in the Norwegian Sea and questions earlier reviews of regime shifts across the world’s oceans.
Dialogic incrementalism in deeply divided societies
Authors: Pasarlay Shamshad 
Published: August 2024

Abstract
A number of the world’s “deeply divided” societies are mired in violent conflicts which often grow out of historic tensions between the nation’s ethno-religious or linguistic groups. Elites within these societies tried to end these conflicts by drafting a constitution that would address the underlying grievances which fuel intergroup conflict. In many cases, however, rather than promoting peaceful political engagement, the process of constitution drafting seemed only to aggravate existing conflicts and create fresh sources of political unrest. Some deeply divided polities have avoided these worst-case outcomes by deploying an “incrementalist” approach to making constitutions. This approach asserts that deeply divided societies need not, and indeed should not, try to answer all constitutional questions. Rather, they can defer the most divisive questions for later resolution. By doing this, incrementalism focuses attention on issues over which some measure of agreement can be forged and enables constitutional ratification under fraught conditions. Critics have, however, identified two real problems with the incrementalist approach: first, once ethnopolitical elites agree to defer important questions, new developments may empower one group and allow it to stop good-faith negotiations and impose its preferred constitutional settlements. Second, the constitution’s open questions may not be resolved in a timely manner, and the lingering ambiguities can produce fresh sources of conflict. This article asks whether one can design constitution-making processes in a way that harvests the benefits of incrementalism while avoiding the problems associated with it. The article suggests that the experiences of Afghanistan and Iraq indicate that there is a particular type of constitutional incrementalism which is more likely than others to accomplish this. It describes three Afghan constitutions, each of which embraced, implicitly, the logic of incrementalism. Of these, however, only one allowed constitutional questions to be addressed in a dialogic fashion. By imposing a process of what I call “dialogic incrementalism,” Afghanistan’s 1931 Constitution helped generate a stable constitutional order. Further, the article suggests that the drafting of Iraq’s 2005 Constitution shows that dialogic incrementalism can be a conscious design option.
Breaking Boundaries in Spinal Surgery: GPT-4's Quest to Revolutionize Surgical Site Infection Management
Authors: Zhao Bin , Liu Hua , Liu Qiuli , Qi Wenwen , Zhang Weiwen , Du Jianer , Jin Yi , Weng Xiaojian 
Published: August 2024

Abstract

Background
Surgical site infection (SSI) is a common and costly complication in spinal surgery. Identifying risk factors and preventive strategies is crucial for reducing SSIs. Generative Pre-trained Transformer 4 (GPT-4) has evolved from a simple text-based tool to a sophisticated multimodal data expert, invaluable for clinicians. This study explored GPT-4’s applications in SSI management across various clinical scenarios.

Methods
GPT-4 was employed in clinical scenarios related to SSIs in spinal surgery. Researchers designed specific questions for GPT-4 to generate tailored responses. Six evaluators assessed the responses for logic and accuracy using a 5-point Likert scale. Interrater consistency was measured with Fleiss’ kappa, and radar charts visualized GPT-4’s performance.

Results
Interrater consistency, measured by Fleiss’ kappa, ranged from 0.62 to 0.83. The average scores for logic and accuracy were 24.27 ± 0.4 and 24.46 ± 0.25. Radar charts indicated consistently high performance across criteria. GPT-4 demonstrated proficiency in creating personalized treatment plans, improving SSI management strategies, and identified emerging research trends.

Conclusions
GPT-4 shows a significant potential in SSI management in spinal surgery, promoting patient-centered care and precision medicine. Despite limitations in antibiotics and patient education, GPT-4’s continuous learning, data privacy focus, and professional collaboration indicate its potential to revolutionize SSI management, requiring further development.
Physicians’ perspectives on clinical indicators: systematic review and thematic synthesis
Authors: Renker-Darby Ana , Ameratunga Shanthi , Jones Peter , Grey Corina , Harwood Matire , Peiris-John Roshini , Tenbensel Timothy , Wells Sue , Selak Vanessa 
Published: August 2024

Abstract
Clinical indicators are increasingly used to improve the quality of care, particularly with the emergence of ‘big data’, but physicians’ views regarding their utility in practice is unclear. We reviewed the published literature investigating physicians’ perspectives, focusing on the following objectives in relation to quality improvement: (1) the role of clinical indicators, (2) what is needed to strengthen them, (3) their key attributes, and (4) the best tool(s) for assessing their quality. A systematic literature search (up to November 2022) was carried out using: Medline, EMBASE, Scopus, CINAHL, PsycInfo, and Web of Science. Articles that met all of the following inclusion criteria were included: reported on physicians’ perspectives on clinical indicators and/or tools for assessing the quality of clinical indicators, addressing at least one of the four review objectives; the clinical indicators related to care at least partially delivered by physicians; and published in a peer-reviewed journal. Data extracted from eligible studies were appraised using the Critical Appraisal Skills Programme tool. A thematic synthesis of data was conducted using NVivo software. Descriptive themes were inductively derived from codes, which were grouped into analytical themes answering each objective. A total of 14 studies were included, with 17 analytical themes identified for objectives 1–3 and no data identified for objective 4. Results showed that indicators can play an important motivating role for physicians to improve the quality of care and show where changes need to be made. For indicators to be effective, physicians should be involved in indicator development, recording relevant data should be straightforward, indicator feedback must be meaningful to physicians, and clinical teams need to be adequately resourced to act on findings. Effective indicators need to focus on the most important areas for quality improvement, be consistent with good medical care, and measure aspects of care within the control of physicians. Studies cautioned against using indicators primarily as punitive measures, and there were concerns that an overreliance on indicators can lead to narrowed perspective of quality of care. This review identifies facilitators and barriers to meaningfully engaging physicians in developing and using clinical indicators to improve the quality of healthcare.
Validation of a phenotyping method to identify PRRSV-resilient sows and its impact on sow stayability
Authors: Fraile Lorenzo , Vidal Albert , Romero Javier , Abella Gloria , Gracia Jordi , Blanco-Penedo Isabel , Pena Ramona N 
Published: August 2024

Abstract
Endemic and epidemic outbreaks of porcine reproductive and respiratory syndrome virus (PRRSV) are causing large economic losses in commercial pig production worldwide. Given the complexity of controlling this disease with vaccines or other biosecurity measures, the selection for pigs with a natural resilience to this infection has been proposed as an alternative approach. In this context, we previously reported a vaccine-based protocol to classify 6-week-old female piglets from one farm into resilient and susceptible phenotypes. Subsequent analysis showed that resilient sows had fewer lost piglets during a PRRSV epidemic. In the present study, we validated the results in four additional farms by showing a robust effect on the percentage of piglets lost (P&lt;0.05). We were able to associate the resilient phenotype with a 2-4% reduction in piglet losses on sow farms in both endemic and endemic/epidemic situations. Also consistent with previous results, susceptible sows delivered on average, almost 0.5 more piglets born per parity (P&lt;0.05). However, we show here that resilient sows have a longer stayability in the farm (+57 d; P&lt;0.05) and +0.3 more successful parities (P&lt;0.05), which balances the total number of piglets born and born alive in the full productive life of the sow between the two groups. Resilient sows thus contribute towards to a more sustainable production system, reducing sow replacement and piglet mortality. The validation of this protocol on four independent production farms paves the way for the study of the genetic variation underlying the resilient/susceptible classification, with a view to incorporating this information into selection programs in the future.
Intranasal Atomized Dexmedetomidine in Combination With Intranasal Atomized Butorphanol for Dressing Change Sedation and Analgesia in Adult Burn Patients: A Randomized Clinical Trial
Authors: Ding Xianchao , Shi Daoming , Cai Honghua , Yan Zhixin , Shen Guoliang 
Published: August 2024

Abstract
We aimed to evaluate the efficacy of the intranasal atomized dexmedetomidine (IAD) + intranasal atomized butorphanol (IAB) combination therapy on adult patients with burns undergoing dressing changes. Herein, 46 adult patients with burns were enrolled and randomly divided into 2 groups: dexmedetomidine-butorphanol (DB) and saline-butorphanol, treated with atomized dexmedetomidine + butorphanol and saline + butorphanol, respectively. The primary outcomes were the Ramsay Sedation Scale (RSS) and the Visual Analog Scale (VAS) scores. The secondary outcomes were mean blood pressure (MBP), heart rate, respiratory rate (RR), peripheral blood oxygen saturation (SpO2), total butorphanol consumption, and adverse effects. The 2 groups were comparable in age, sex, weight, and total burn surface area. During dressing changes, the DB group exhibited significantly lower RSS levels (P &lt; .05). Besides, the 2 groups showed no significant differences in VAS scores across all measurement time points. Notably, the DB group exhibited decreased MBP at the beginning of the operation (P &lt; .0001), 10 min after (P &lt; .0001), and 20 min after (P = .0205). Heart rate decreased significantly at the beginning (P = .0005) and 10 min after (P = .0088) in the DB group. Furthermore, the 2 groups showed no significant differences in RR and SpO2 levels. In addition, the rescue butorphanol dose was lower in the DB group (P &lt; .001). Finally, dizziness and nausea incidences were significantly lower in the DB group (P &lt; .05). In conclusion, besides its hemodynamic adverse reactions, the IAD + IAB combination therapy exerted a better sedation effect in adult patients with burns than IAB treatment alone.
Gene-based association analysis of a large patient cohort provides insights into genetics of atypical femur fractures
Authors: Zhou Wei , Ås Joel , Shore-Lorenti Catherine , Nguyen Hanh H , van de Laarschot Denise M , Sztal-Mazer Shoshana , Grill Vivian , Girgis Christian M , Stricker Bruno H Ch , van der Eerden Bram C J , Thakker Rajesh V , Appelman-Dijkstra Natasha M , Wadelius Mia , Clifton-Bligh Roderick J , Hallberg Pär , Verkerk Annemieke J M H , van Rooij Jeroen G J , Ebeling Peter R , Zillikens M Carola 
Published: August 2024

Abstract
Several small genetic association studies have been conducted for atypical femur fracture (AFF) without replication of results. We assessed previously implicated and novel genes associated with AFFs in a larger set of unrelated AFF cases using whole exome sequencing (WES). We performed gene-based association analysis on 139 European AFF cases and 196 controls matched for bisphosphonate use. We tested all rare, protein-altering variants using both candidate gene and hypothesis-free approaches. In the latter, genes suggestively associated with AFFs (uncorrected p-values &lt;.01) were investigated in a Swedish whole-genome sequencing replication study and assessed in 46 non-European cases. In the candidate gene analysis, PLOD2 showed a suggestive signal. The hypothesis-free approach revealed 10 tentative associations, with XRN2, SORD, and PLOD2 being the most likely candidates for AFF. XRN2 and PLOD2 showed consistent direction of effect estimates in the replication analysis, albeit not statistically significant. Three SNPs associated with SORD expression according to the GTEx portal were in linkage disequilibrium (R2 ≥ 0.2) with an SNP previously reported in a genome-wide association study of AFF. The prevalence of carriers of variants for both PLOD2 and SORD was higher in Asian versus European cases. While we did not identify genes enriched for damaging variants, we found suggestive evidence of a role for XRN2, PLOD2, and SORD, which requires further investigation. Our findings indicate that genetic factors responsible for AFFs are not widely shared among AFF cases. The study provides a stepping-stone for future larger genetic studies of AFF.
Enabling and constraining factors of remote informal communication: a socio-technical systems perspective
Authors: Begemann Vanessa , Handke Lisa , Lehmann-Willenbrock Nale 
Published: August 2024

Abstract
Informal interactions are vital in daily workplace communication, shaping performance, well-being, collaboration, and overall organizational functioning. However, as the ongoing trends of remote and hybrid work present significant changes and challenges to these interactions, supporting remote informal communication (RIC) becomes urgent. To address this pressing issue, we adopt a socio-technical systems perspective to gain in-depth insights into the enabling and constraining factors related to RIC. Our findings of semi-structured interviews with working adults (N=33) reveal important changes and challenges related to informal communication in the remote work context. We identify eleven interrelated socio-contextual, intrapersonal, and technological factors, culminating in a comprehensive conceptual framework of RIC. Based on our findings, we provide practical recommendations to effectively facilitate RIC in organizations and discuss future research avenues for understanding effective RIC in organizations.