bluuebunny/crossref_metadata_2025_split huggingface dataset:
Current Therapies and Future Horizons in Cardiac Amyloidosis Treatment
Authors: Vogel Julia , Carpinteiro Alexander , Luedike Peter , Buehning Florian , Wernhart Simon , Rassaf Tienush , Michel Lars 
Published: May 2024

Abstract
Purpose of Review
Cardiac amyloidosis (CA) is a condition characterized by misfolding and extracellular deposition of proteins, leading to organ dysfunction. While numerous forms of CA exist, two subtypes dominate clinical prevalence: Transthyretin amyloid (ATTR) and immunoglobulin light chain amyloid.

Recent Findings
The current scientific landscape reflects the urgency to advance therapeutic interventions with over 100 ongoing clinical trials. Heart failure treatment is affected by CA phenotype with poor tolerance of otherwise frequently used medications. Treating comorbidities including atrial fibrillation and valvular disease remains a challenge in CA, driven by technical difficulties and uncertain outcomes. Tafamidis is the first ATTR-stabilizer approved with a rapidly growing rate of clinical use. In parallel, various new therapeutic classes are in late-stage clinical trials including silencers, antibodies and genetic therapy.

Summary
Managing CA is a critical challenge for future heart failure care. This review delineates the current standard-of-care and scientific landscape of CA therapy.
Cerebral Autoregulation: A Target for Improving Neurological Outcomes in Extracorporeal Life Support
Authors: Chalifoux Nolan , Ko Tiffany , Slovis Julia , Spelde Audrey , Kilbaugh Todd , Mavroudis Constantine D. 
Published: May 2024

AbstractDespite improvements in survival after illnesses requiring extracorporeal life support, cerebral injury continues to hinder successful outcomes. Cerebral autoregulation (CA) is an innate protective mechanism that maintains constant cerebral blood flow in the face of varying systemic blood pressure. However, it is impaired in certain disease states and, potentially, following initiation of extracorporeal circulatory support. In this review, we first discuss patient-related factors pertaining to venovenous and venoarterial extracorporeal membrane oxygenation (ECMO) and their potential role in CA impairment. Next, we examine factors intrinsic to ECMO that may affect CA, such as cannulation, changes in pulsatility, the inflammatory and adaptive immune response, intracranial hemorrhage, and ischemic stroke, in addition to ECMO management factors, such as oxygenation, ventilation, flow rates, and blood pressure management. We highlight potential mechanisms that lead to disruption of CA in both pediatric and adult populations, the challenges of measuring CA in these patients, and potential associations with neurological outcome. Altogether, we discuss individualized CA monitoring as a potential target for improving neurological outcomes in extracorporeal life support.
Anterior cruciate ligament reconstruction: effect of graft type and gender on early to mid-term clinical outcomes
Authors: Mann O. , Al-Dadah O. 
Published: May 2024

Abstract
Introduction
Anterior cruciate ligament (ACL) rupture is a debilitating condition and often requires surgery to restore joint stability. Common autografts used for reconstruction include patella tendon and hamstring tendons. The primary aim of this study was to evaluate the early to mid-term clinical outcomes of ACL reconstruction using validated patient-reported outcome measures (PROMs). The secondary aim was to compare clinical outcomes between patella tendon and hamstring tendon autografts. The tertiary aim was to compare clinical outcomes between males and females.

Methods
Patients with an ACL rupture were evaluated before and after surgery using PROM scores which included Lysholm, Tegner, International Knee Documentation Committee (IKDC), Knee Injury and Osteoarthritis Outcome Score (KOOS), Short Form-12 Item (SF-12) and EQ-5D-5L.

Results
A total of 87 patients were included in the study. All PROM scores significantly improved following surgery (p < 0.001) at a mean follow-up time of 28 months (range 12 to 88 months). The patella tendon subgroup (n = 27) had superior post-operative results as compared to the hamstring tendon subgroup (n = 60) for KOOS sport and recreation (p = 0.005), KOOS quality of life (p = 0.025), KOOS overall (p = 0.026), Tegner (p = 0.046) and IKDC (p = 0.021) scores. There was no significant difference of PROM scores between males (n = 60) and females (n = 27) (p > 0.05).

Conclusions
ACL reconstruction significantly improves clinical outcomes for patients with symptomatic instability consequent to ACL rupture. Overall, patella tendon autograft resulted in better clinical outcomes as compared to hamstring tendon autograft following surgery. Gender did not influence clinical outcome following ACL reconstruction.
Management of Ductal Carcinoma In Situ: Opportunities for De-Escalation of Surgery, Radiation, and Treatment
Authors: Siegel Emily L. , Carr Azadeh A. 
Published: May 2024

Abstract
Purpose of Review
Ductal carcinoma in situ (DCIS) accounts for roughly 25% of all new breast cancer diagnoses. Mortality from DCIS is low and has not significantly changed despite modern, aggressive care. This review will highlight the multiple strategies which are being proposed to de-escalate care, including foregoing sentinel lymph node biopsy (SLNB).

Recent Findings
Under 5% of patients undergoing SLNB for DCIS have a positive lymph node, therefore the use of SLNB has been questioned and may be able to be foregone. In addition, recent genomic assays evaluating the benefit of radiation (Oncotype DCIS®, DCISionRT®), have elucidated a group of patients who may not need radiotherapy after breast conservation for DCIS. Finally, the option of foregoing all local treatment and instead focusing on active surveillance is being evaluated in multiple randomized clinical trials including LORIS, LORD and COMET.

Summary
Data regarding whether SLNB can be safely omitted and the outcomes of the growing utilization of genomic assays and “watchful waiting” clinical trials remain forthcoming.
Biological maturity and relative age effects in German age-group swimming
Authors: Staub Ilka , Cramer Leoni , Bieder Andreas , Vogt Tobias 
Published: May 2024

AbstractRelative age effects (RAE) refer to a skewed distribution with an overrepresentation of athletes born close to the selection date. The prevalence of RAE has been repeatedly demonstrated in youth swimming. Additionally, being more mature within an age group is associated with consistent selection advantages. The present study aims to determine (1) the prevalence and magnitude of RAE in youth swimming and (2) the relation to anthropometry and biological maturity status. The study included 650 swimmers (male n = 273, age 11.00 ± 1.27 years; female n = 377, age 11.00 ± 1.25 years). The dates of birth were split into four birth quartiles (Q). The maturity status was assessed using equations to estimate the age of peak height velocity (APHV). χ2 tests and analysis of variance (ANOVA) were used for statistical analyses. The χ2 tests have shown significant RAE with medium effect sizes (ES; p < 0.001, 0.18 < V < 0.20) for male and female athletes. Also, the results have shown significant RAE with medium effect sizes (ES; p < 0.001, 0.18 < V < 0.20). ANOVA has not revealed significant differences regarding body height, body mass, and APHV between the four birth quartiles for both sexes, except for body mass in female athletes (p = 0.037). The findings indicate that maturity status and anthropometry influence RAE in youth swimming. It can be assumed that relatively younger swimmers can counteract their disadvantage only by similar anthropometric and maturity-related characteristics to the relatively older swimmers, which significantly impacts talent identification and development of swimmers.
Impacts of Changes in Soil Moisture on Urban Heat Islands and Urban Breeze Circulations: Idealized Ensemble Simulations
Authors: Tabassum Abeda , Hong Seong-Ho , Park Kyeongjoo , Baik Jong-Jin 
Published: May 2024

AbstractSoil moisture plays important roles in land surface and hydrological processes, and its changes can greatly affect weather and climate. In this study, we examine how changes in soil moisture impact the urban heat island (UHI) and urban breeze circulation (UBC) through idealized ensemble simulations. As soil moisture increases, the latent heat flux increases considerably in the rural area. Hence, in the rural area, the sensible heat flux and surface temperature decrease, which decreases the rural air temperature. The decrease in rural air temperature leads to increases in UHI intensity and thus UBC intensity. The urban air temperature also decreases with increasing soil moisture since the cooler rural air is advected to the urban area by the enhanced low-level convergent flow of the UBC. However, the decrease in air temperature is smaller in the urban area than in the rural area. As the UBC intensity increases, the sensible heat flux in the urban area increases. The increase in sensible heat flux in the urban area further increases the UHI intensity. The positive feedback between the UHI intensity and the UBC intensity is revealed when soil moisture increases. The decrease in air temperature in both the urban and rural areas leads to the decrease in planetary boundary layer (PBL) height. As a result, the vertical size of the UBC decreases with increasing soil moisture. As the UBC intensity increases with increasing soil moisture, the advection of water vapor from the rural area to the urban area increases. Combined with the decrease in PBL height, this reduces the water vapor deficit or even leads to the water vapor excess in the urban area depending on soil moisture content.
Exploring the Correlation Between Health Literacy and Knowledge of Cervical Cancer and Radiotherapy Among Japanese Women: A Web-Based Survey
Authors: Minamitani Masanari , Morishima Kosuke , Katano Atsuto , Ohira Shingo , Nakagawa Keiichi 
Published: May 2024

AbstractHealth literacy (HL) plays a vital role in an individual’s ability to make informed health decisions. Japan faces several challenges in cervical cancer control, including low human papillomavirus (HPV) vaccination and screening rates, underutilization of radiotherapy, and limited HL. This study explored the association between HL and knowledge of cervical cancer and radiotherapy, particularly among young Japanese women. We conducted a web-based survey among users of LunaLuna, a popular women’s healthcare application, to assess their HL and knowledge about cervical cancer and radiotherapy through a 46-question survey. We compared three groups in terms of HL (inadequate, problematic, and sufficient & excellent). Multiple regression analysis was used to identify factors associated with knowledge. In total, 1468 respondents were included in this study. HL was positively correlated with knowledge scores (inadequate: 51.8%; problematic: 56.3%; sufficient & excellent: 60%). Participants displayed relatively low accuracy for treatment-related questions. Higher HL (β = 0.15, p < 0.01), education (β =  − 0.11, p < 0.01), cervical cancer screening (β =  − 0.11, p < 0.01), income (β = 0.09, p < 0.01), and employment (β =  − 0.06, p = 0.04) were significant factors affecting knowledge of cervical cancer and radiotherapy. Our findings underscore the pivotal role of HL in promoting cervical cancer prevention and providing a better understanding of radiotherapy. Despite factors such as age, education, and history of cervical cancer screening, HL showed the strongest association with knowledge of cervical cancer and radiotherapy. The enhancement of HL and knowledge dissemination may be critical for promoting cervical cancer prevention and radiotherapy in Japan.
Reservoir Rock Discrimination Based on Integrated Image Logs and Petrographic Analysis: A Case Study from the Early Miocene Nukhul Carbonate, Southern Gulf of Suez, Egypt
Authors: Kassem Ahmed A. , Abdel Fattah Mohsen , Hassan Zakaria , Radwan Ahmed E. 
Published: May 2024

AbstractThe discrimination of rock types within the limestones and dolostones of the Nukhul Formation in the West Younis Field (Gulf of Suez Basin, Egypt) presents significant challenges due to their multi-scale compositional and diagenetic heterogeneity, diverse pore types, complex microstructures, and limited core data. This study aims to characterize the carbonate reservoir of the Early Miocene sediments and establish distinct reservoir rock types by employing textural analysis, geological interpretations (i.e., structural interpretation, fracture analysis, reservoir characteristics) using advanced imaging tools, and petrophysical measurements to model porosity/permeability profiles across the reservoir. A new dataset was obtained from the latest exploratory well in the West Younis Field, incorporating microresistivity and acoustic image logs, well logs, nuclear magnetic resonance (NMR) tools, and drill cutting petrographic analysis. The integration of these datasets provided a comprehensive understanding of the properties of the Early Miocene carbonate reservoir. Based on image logs, the carbonate facies were divided into four reservoir units. Petrographic evaluation further classified two facies (A and B) based on diagenetic factors controlling reservoir quality. The results revealed the occurrence of multiple phases of dolomitization, which influenced the reservoir quality. Early-stage dolomitization enhanced reservoir quality, while late-stage idiotopic dolomite crystal growth diminished it. The study also provided comprehensive information on the original rock fabric/texture, diagenetic processes, porosity types and origins, as well as the spatial distribution of pores (permeability index) within this complex carbonate reservoir. By employing an integrated technique, this study successfully differentiated the carbonate reservoir into distinct rock types, leading to improved reservoir characterization and field development. Additionally, the findings contribute valuable insights for the development and exploration of the Early Miocene carbonate section in the southern Gulf of Suez.
Building more epistemically inclusive and environmentally equitable universities
Authors: Lu Flora , Murai Emily , Campbell Serena , Angelo Hillary 
Published: May 2024

AbstractHigher educational institutions tend to draw from mainstream approaches to environmentalism that reinforce race, class, and gender hierarchies around who constitutes “an environmentalist” and what activities constitute “environmentalism.” As a result, students of color and students from other marginalized backgrounds who often experience environmental degradation and catastrophe firsthand do not often see their experiences reflected in universities’ environmental programming, curricula, or research. Furthermore, faculty and staff who center issues of race, equity, power, and justice when addressing environmental topics tend to work in isolation from one another and their efforts are not well-coordinated. In this paper, we draw from the concept of “epistemic exclusion” (Settles et al. J Divers High Educ 14:493, 2021; J High Educ 93:31–55, 2022) to explain hidden biases that systematically devalue scholarship that does not fit mainstream parameters. We describe a research project focused on building more equity-centered environmental efforts at the University of California, Santa Cruz. We find that faculty and staff across divisions want to engage in more epistemically inclusive and equity-centered environmental work, but lack the institutional support and resources (e.g., knowledge, funding, time, incentives) to do so. Interestingly, only a few responses focused on the barriers and biases related to epistemic exclusion. Our findings suggest that more awareness is needed to identify, analyze, and challenge these less visible barriers to substantively work towards greater inclusivity in environmentalism.
Seasonal variation of metabolites in Kimchi cabbage: utilizing metabolomics based machine learning for cultivation season and taste discrimination
Authors: Ju WooChul , Park Sung Jin , Lee Min Jung , Park Sung Hee , Min Sung Gi , Ku Kang-Mo 
Published: May 2024

AbstractKimchi cabbage, a staple in South Korean cuisine, exhibits taste variations depending on the season of cultivation, with significant implications for kimchi production quality. In this study, we conducted comprehensive metabolomic analyses of kimchi cabbage grown in diverse environments throughout the year. We identified 15 primary metabolites, 10 glucosinolates, and 12 hydrolysates, providing valuable insights into the metabolic composition of kimchi cabbage. Using this data, we developed predictive models for taste and quality differentiation in kimchi cabbage based on the season of cultivation. Three regression models, including Orthogonal Partial Least Squares regression (OPLS), Partial Least Squares (PLS) regression, and Random Forest regression, were employed to predict seasonal variation. The models exhibited high accuracy, with R2 values ranging from 0.77 to 0.95, indicating their potential for distinguishing seasonal differences. Notably, hydroxyglucobrassicin, 5-oxoproline, and inositol consistently emerged as significant metabolites across all models. Additionally, we developed regression models for predicting sweetness and bitterness in kimchi cabbage. Metabolites such as malic acid, fructose, and glucose were positively correlated with sweetness, while neoglucobrassicin and glucobrassicin were negatively correlated. Conversely, metabolites like glucoerucin and glucobrassicin were positively correlated with bitterness, while malic acid and sucrose were negatively correlated. These findings provide a valuable foundation for understanding the metabolic basis of taste variation in kimchi cabbage and offer practical applications for improving kimchi production quality. By incorporating more varieties and multi-year data, future research aims to develop even more accurate predictive models for kimchi cabbage taste and quality, ultimately contributing to the consistency of kimchi production.
Graphical Abstract
Fractional Euler-Maclaurin-type inequalities for various function classes
Authors: Hezenci Fatih , Budak Hüseyin 
Published: May 2024

AbstractThis paper investigates a technique that uses Riemann-Liouville fractional integrals to study several Euler-Maclaurin-type inequalities for various function classes. Afterwards, we provide our results by using special cases of obtained theorems and This paper is to derive examples. Moreover, we give some Euler-Maclaurin-type inequalities for bounded functions by fractional integrals. Furthermore, we construct some fractional Euler-Maclaurin-type inequalities for Lipschitzian functions. Finally, we offer some Euler-Maclaurin-type inequalities by fractional integrals of bounded variation.
Complex Forest Tree Diseases – Diagnostics Beyond Koch’s Postulates
Authors: Bonello Pierluigi 
Published: May 2024

Abstract
Purpose of Review
Forest tree diseases are a major contributor to forest degradation and loss of productivity. They are often quite complex in their causation (etiology), especially in the case of forest syndromes, i.e. diseases with multiple causes and concurrent symptoms. Traditionally, to prove pathogenicity of a microbial agent, and thus correctly diagnose the etiology of a disease, plant pathologists must satisfy all of the so-called Koch’s postulates, as mandated by their deontological code. This review examines whether this approach is still current.

Recent Findings
Koch’s postulates state that a pathogen is a microorganism that, after being isolated in pure culture, can reproduce the disease when it is inoculated into a healthy plant. Over the decades, plant pathologists as well as medical scientists have discovered that these postulates are not always applicable in their entirety and that, furthermore, novel approaches based on molecular biology can be very helpful in uncovering relationships between microbes and diseases that are not easily proven using Koch’s postulates.

Summary
I conclude that Koch’s postulates are not a viable approach for many forest tree diseases and propose a set of new guidelines, based on the preponderance of the evidence principle, to integrate this proven approach and bring it into the twenty-first century.
Linking perspectives: a field experiment on the role of multi-layer networks in refugee information sharing
Authors: Clark Aaron Thomas , Larson Jennifer M. , Lewis Janet I. 
Published: May 2024

AbstractThe social networks that interconnect groups of people are often “multi-layered”—comprised of a variety of relationships and interaction types. Although researchers increasingly acknowledge the presence of multiple layers and even measure them separately, little is known about whether and how different layers function differently. We conducted a field experiment in twelve villages in rural Uganda that measured real multi-layer social networks and then tracked their use in response to new, discussion-provoking information about refugees. We find that people who received our information treatment discussed refugees with more people, selected discussion partners from neighbors in the multi-layer network, and used most of the layers to do so. Treatment kicked off conversations throughout the villages that also included control respondents; treated and control both selected discussion partners from their networks who shared their attitudes towards refugees and were particularly interested in the subject. Our results point to multi-layer networks of day-to-day interactions as a source of prospective discussion partners when new information arises, especially layers based on shared meals, homestead visits, and money borrowing. When a relationship is based on multiple of these layers, it is even more likely to facilitate discussion. Furthermore, the selection of discussion partners from these networks depends less on any one particular layer and more on characteristics of the tie relative to the topic at hand.
ESG News Sentiment and Stock Price Reactions: A Comprehensive Investigation via BERT
Authors: Dorfleitner Gregor , Zhang Rongxin 
Published: May 2024

AbstractIn this paper, we examine in a systematic manner how investors react to the sentiment of instant ESG news.
Instead of acquiring proprietary ESG news or events datasets directly from specific ESG data providers, we extract fresh ESG news directly from a plethora of raw news articles. We showcase how the latest development in NLP (i.e. the BERT model) can be applied to build a comprehensive and fresh ESG news dataset, and how company ESG news sentiment can be efficiently recognized by a machine. Overall, we find that the market reacts to ESG news based on news sentiment. On the event day, positive ESG news has an average abnormal return of 0.31% while negative ESG news leads to a mean value of $$-0.75$$

-
0.75

%. More interestingly, we find that the impact of ESG news may depend on the company’s historical ESG record. The negative impact of negative ESG news has less severe consequences for companies with an overall better ESG record, while the positive impact of positive ESG news may be more pronounced for companies with a worse ESG record.