bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of female breast surface area on heat‐activated sweat gland density and output
Authors: Blount Hannah , Valenza Alessandro , Ward Jade , Caggiari Silvia , Worsley Peter R. , Filingeri Davide 
Published: June 2024

AbstractFemale development includes significant morphological changes across the breast. Yet, whether differences in breast surface area (BrSA) modify sweat gland density and output remains unclear. The present study investigated the relationship between BrSA and sweat gland density and output in 22 young to middle‐aged women (2810 years) of varying breast sizes (BrSA range: 147–561 cm2) during a submaximal run in a warm environment (32 0.6°C; 53 1.7% relative humidity). Local sweat gland density and local sweat rate (LSR) above and below the nipple and at the bra triangle were measured. Expired gases were monitored for the estimation of evaporative requirements for heat balance (Ereq, in W/m2). Associations between BrSA and (i) sweat gland density; (ii) LSR; and (iii) sweat output per gland for the breast sites were determined via correlation and regression analyses. Our results indicated that breast sweat gland density decreased linearly as BrSA increased (r = −0.76, P < 0.001), whereas sweat output per gland remained constant irrespective of BrSA (r = 0.29, P = 0.28). This resulted in LSR decreasing linearly as BrSA increased (r = −0.62, P = 0.01). Compared to the bra triangle, the breast had a 64% lower sweat gland density (P < 0.001), 83% lower LSR (P < 0.001) and 53% lower output per gland (P < 0.001). BrSA (R2 = 0.33, P = 0.015) explained a greater proportion of variance in LSR than Ereq (in W/m2) (R2 = 0.07, P = 0.538). These novel findings extend the known relationship between body morphology and sweat gland density and LSR, to the female breast. This knowledge could innovate user‐centred design of sports bras by accommodating breast size‐specific needs for sweat management, skin wetness perception and comfort.
Physiological Profiles of Male and Female CrossFit Athletes
Authors: D’Hulst Gommaar , Hodžić Deni , Leuenberger Rahel , Arnet Janik , Westerhuis Elena , Roth Ralf , Schmidt-Trucksäss Arno , Knaier Raphael , Wagner Jonathan 
Published: June 2024

Objective: To (1) establish extensive physiological profiles of highly trained CrossFit® athletes using gold-standard tests and (2) investigate which physiological markers best correlate with CrossFit Open performance. Methods: This study encompassed 60 participants (30 men and 30 women), all within the top 5% of the CrossFit Open, including 7 CrossFit semifinalists and 3 CrossFit Games finalists. Isokinetic dynamometers were employed to measure maximum isometric and isokinetic leg and trunk strength. Countermovement-jump height and maximum isometric midthigh-pull strength were assessed on a force plate. Peak oxygen uptake (VO2peak) was measured by a cardiopulmonary exercise test, and critical power and W′ were evaluated during a 3-minute all-out test, both on a cycle ergometer. Results: Male and female athletes’ median (interquartile range) VO2peak was 4.64 (4.43, 4.80) and 3.21 (3.10, 3.29) L·min−1, critical power 314.5 (285.9, 343.6) and 221.3 (200.9, 238.9) W, and midthigh pull 3158 (2690, 3462) and 2035 (1728, 2347) N. Linear-regression analysis showed strong evidence for associations between different anthropometric variables and CrossFit Open performance in men and women, whereas for markers of cardiorespiratory fitness such as VO2peak, this was only true for women but not men. Conventional laboratory evaluations of strength, however, manifested minimal evidence for associations with CrossFit Open performance across both sexes. Conclusions: This study provides the first detailed insights into the physiology of high-performing CrossFit athletes and informs training optimization. Furthermore, the results emphasize the advantage of athletes with shorter limbs and suggest potential modifications to CrossFit Open workout designs to level the playing field for athletes across different anthropometric characteristics.
Setu: a pipeline for the robust assembly of SARS-CoV-2 genomes
Authors: Shukla Nityendra , Srivastava Neha , Srivastava Prachi , Narayan Jitendra 
Published: June 2024

ABSTRACT

Setu is an efficient pipeline integrating currently available open source bioinformatic tools to perform rapid
de novo
assembly to assist tracking of severe acute respiratory syndrome coronavirus 2 genome evolution in clinical data, being particularly useful for institutions with limited computing resources or personnel not familiar with bioinformatic pipelines.
Pleistocene to recent evolution of Mocho-Choshuenco volcano during growth and retreat of the Patagonian Ice Sheet
Authors: Moreno-Yaeger Pablo , Singer Brad S. , Edwards Benjamin R. , Jicha Brian R. , Nachlas William O. , Kurz Mark D. , E. Breunig Rachel , Fustos-Toribio Ivo , Antipán Daniel Vásquez , Piergrossi Ella 
Published: June 2024

Abstract
Mocho-Choshuenco volcano (39.9°S, 72.0°W) produced ~75 explosive eruptions following retreat of the &gt;1.5-km-thick Patagonian Ice Sheet associated with the local Last Glacial Maximum (LGM, from 35 to 18 ka). Here, we extend this record of volcanic evolution to include pre- and syn-LGM lavas that erupted during the Pleistocene. We establish a long-term chronology of magmatic and volcanic evolution and evaluate the relationship between volcanism and loading/unloading of the Patagonian Ice Sheet via twenty-four 40Ar/39Ar and two 3He age determinations integrated with stratigraphy and whole-rock compositions of lava flows and glass compositions of tephra. Our findings reveal that the edifice is much younger than previously thought and preserves 106 km3 of eruptive products, of which 50% were emplaced immediately following the end of the penultimate glaciation and 20% after the end of the LGM. A period of volcanic inactivity between 37 and 26 ka, when glaciers expanded, was followed by the eruption of incompatible element-rich basaltic andesites. Several of these syn-LGM lavas dated between 26 and 16 ka, which crop out at 1500–1700 m above sea level, show ice contact features that are consistent with emplacement against a 1400- to 1600-m-thick Patagonian Ice Sheet. Small volume dacitic eruptions and two explosive rhyolitic eruptions dominate the volcanic output from 18 to 8 ka, when the Patagonian Ice Sheet began to retreat rapidly. We hypothesize that increased lithostatic loading as the Patagonian Ice Sheet grew prohibited dike propagation, thus stalling the ascent of magma, promoting growth of at least three discrete magma reservoirs, and enhancing minor crustal assimilation to generate incompatible element-rich basaltic andesitic to dacitic magmas that erupted between 26 and 17 ka. From an adjacent reservoir, incompatible element-poor dacites erupted from 17 to 12 ka. These lava flows were followed by the caldera-forming eruption at 11.5 ka of 5.3 km3 of rhyolite from a deeper reservoir atop which a silicic melt lens had formed and expanded. Subsequent eruptions of oxidized dacitic magmas from the Choshuenco cone from 11.5 to 8 ka were followed by andesitic to dacitic eruptions at the more southerly Mocho cone, as well as small flank vent eruptions of basaltic andesite at 2.5 and 0.5 ka. This complex history reflects a multi-reservoir plumbing system beneath Mocho-Choshuenco, which is characterized by depths of magma storage, oxidation states, and trace element compositions that vary over short periods of time (&lt;2 k.y.).
New data-driven method to predict the therapeutic indication of redeemed prescriptions in secondary data sources: a case study on antiseizure medications users aged ≥65 identified in Danish registries
Authors: Mahmoud Israa , Battini Vera , Carnovale Carla , Clementi Emilio , Kragholm Kristian , Sessa Maurizio 
Published: June 2024

ObjectivesWe aimed to develop a new data-driven method to predict the therapeutic indication of redeemed prescriptions in secondary data sources using antiepileptic drugs among individuals aged ≥65 identified in Danish registries.DesignThis was an incident new-user register-based cohort study using Danish registers.SettingThe study setting was Denmark and the study period was 2005–2017.ParticipantsParticipants included antiepileptic drug users in Denmark aged ≥65 with a confirmed diagnosis of epilepsy.Primary and secondary outcome measuresSensitivity served as the performance measure of the algorithm.ResultsThe study population comprised 8609 incident new users of antiepileptic drugs. The sensitivity of the algorithm in correctly predicting the therapeutic indication of antiepileptic drugs in the study population was 65.3% (95% CI 64.4 to 66.2).ConclusionsThe algorithm demonstrated promising properties in terms of overall sensitivity for predicting the therapeutic indication of redeemed antiepileptic drugs by older individuals with epilepsy, correctly identifying the therapeutic indication for 6 out of 10 individuals using antiepileptic drugs for epilepsy.
Early family socioeconomic status and asthma-related outcomes in school-aged children: Results from seven birth cohort studies
Authors: Yang-Huang Junwen , McGrath Jennifer J , Gauvin Lise , Nikiéma Beatrice , Spencer Nicholas James , Awad Yara Abu , Clifford Susan , Markham Wolfgang , Mensah Fiona , Andersson White Pär , Ludvigsson Johnny , Faresjö Tomas , Duijts Liesbeth , van Grieken Amy , Raat Hein 
Published: June 2024

ObjectiveTo examine the associations between maternal education and household income during early childhood with asthma-related outcomes in children aged 9–12 years in the UK, the Netherlands, Sweden, Australia, the USA and Canada.MethodsData on 31 210 children were obtained from 7 prospective birth cohort studies across six countries. Asthma-related outcomes included ever asthma, wheezing/asthma attacks and medication control for asthma. Relative social inequalities were estimated using pooled risk ratios (RRs) adjusted for potential confounders (child age, sex, mother ethnic background and maternal age) for maternal education and household income. The Slope Index of Inequality (SII) was calculated for each cohort to evaluate absolute social inequalities.ResultsEver asthma prevalence ranged from 8.3% (Netherlands) to 29.1% (Australia). Wheezing/asthma attacks prevalence ranged from 3.9% (Quebec) to 16.8% (USA). Pooled RRs for low (vs high) maternal education and low (vs high) household income were: ever asthma (education 1.24, 95% CI 1.13 to 1.37; income 1.28, 95% CI 1.15 to 1.43), wheezing/asthma attacks (education 1.14, 95% CI 0.97 to 1.35; income 1.22, 95% CI 1.03 to 1.44) and asthma with medication control (education 1.16, 95% CI 0.97 to 1.40; income 1.25, 95% CI 1.01 to 1.55). SIIs supported the lower risk for children with more highly educated mothers and those from higher-income households in most cohorts, with few exceptions.ConclusionsSocial inequalities by household income on the risk of ever asthma, wheezing/asthma attacks, and medication control for asthma were evident; the associations were attenuated for maternal education. These findings support the need for prevention policies to address the relatively high risks of respiratory morbidity in children in families with low socioeconomic status.
Impact of Body Mass Index (BMI) and Age on in Vitro Fertilization (IVF) Outcome in Indian Patients with Polycystic Ovary Syndrome (PCOS)
Authors: Rasool Sabahat , Shah Duru , Akhtar Omar Salim 
Published: June 2024

Aim: The study evaluated the effect of body mass index (BMI) and age on in vitro fertilization (IVF) outcomes in women with polycystic ovary syndrome (PCOS). Methods: A retrospective study of 412 IVF cycles in PCOS patients aged between 20 and 40 years from January 2019 to 2022. Patients were divided into three groups based on their BMI-normal (18.5–24.9[Formula: see text]kg/m2), overweight (25–29.9[Formula: see text]kg/m2), and obese ([Formula: see text][Formula: see text]kg/m2). The patients were divided into two groups based on their age [Formula: see text] and [Formula: see text] years. The IVF cycle outcomes, clinical pregnancy (CPR), and live birth rates (LBR) were studied. The Mantel–Haenszel Chi-square test was used for statistics. Results: The oocyte yield and endometrial thickness, fertilization, CPR, and LBR were significantly higher in the normal BMI group. Similarly, oocyte yield, mature oocytes, and endometrial thickness were significantly higher in the younger age-group. Comparing the CPR in younger and older normal, overweight, and obese groups, it was observed to be highest in the younger, normal BMI group and lowest in the older, obese group. The LBR were significantly higher in the younger, normal-BMI group compared to the older, obese patients. Conclusion: Oocyte yield, CPR, and LBR were higher in the normal-BMI PCOS patients. The oocyte yield, endometrial thickness, and fertilization rates were higher in the younger age group. The CPR and LBR were significantly lower in the older obese patients. Patients with PCOS must be encouraged to normalize BMI before embarking on IVF. Timely treatment must be encouraged for better IVF outcomes.
RNA-Binding Protein Lin28B Promotes Chronic Myeloid Leukemia Blast Crisis by Transcriptionally Upregulating miR-181d
Authors: Zhou Minran , Yin Xiaolin , Zhang Lu , Cui Zelong , Jiang Xinwen , Ji Qingli , Ma Sai , Chen Chunyan 
Published: June 2024

Abstract
The blast crisis (BC) of chronic myeloid leukemia (CML) has poor efficacy against existing treatments and extremely short survival. However, the molecular mechanism of CML-chronic phase (CP) transformation to CML-BC is not yet fully understood. Here, we show that Lin28B, an RNA-binding protein, acted as an activator enhancing the transformation to CML-BC by mediating excessive cell proliferation. The level of Lin28B expression was apparently elevated in patients with CML-BC compared with newly diagnosed patients with CML-CP. The overexpression of Lin28B promoted the proliferation of leukemia cells. Mechanistically, we identified Lin28B as a DNA-binding protein by binding to the promoter region of miR-181d and upregulating its expression, which inhibited the expression of programmed cell death 4 (PDCD4) by binding to the PDCD4 3'UTR region, thereby enhancing the proliferation of CML cells. Overall, the “Lin28B-miR-181d-PDCD4” regulatory axis promoted CML blast crisis.
Implications: Our findings highlight the oncogenic role of Lin28B in CML blast crisis, acting as a DNA-binding protein that transcriptionally upregulates miR-181d expression.
Novel Multiplexed Plasma Biomarker Panel Has Diagnostic and Prognostic Potential in Children With Hypertrophic Cardiomyopathy
Authors: Captur Gabriella , Doykov Ivan , Chung Sheng-Chia , Field Ella , Barnes Annabelle , Zhang Enpei , Heenan Imogen , Norrish Gabrielle , Moon James C. , Elliott Perry M. , Heywood Wendy E. , Mills Kevin , Kaski Juan Pablo 
Published: June 2024

BACKGROUND:
Hypertrophic cardiomyopathy (HCM) is defined clinically by pathological left ventricular hypertrophy. We have previously developed a plasma proteomics biomarker panel that correlates with clinical markers of disease severity and sudden cardiac death risk in adult patients with HCM. The aim of this study was to investigate the utility of adult biomarkers and perform new discoveries in proteomics for childhood-onset HCM.

METHODS:
Fifty-nine protein biomarkers were identified from an exploratory plasma proteomics screen in children with HCM and augmented into our existing multiplexed targeted liquid chromatography-tandem/mass spectrometry-based assay. The association of these biomarkers with clinical phenotypes and outcomes was prospectively tested in plasma collected from 148 children with HCM and 50 healthy controls. Machine learning techniques were used to develop novel pediatric plasma proteomic biomarker panels.

RESULTS:

Four previously identified adult HCM markers (aldolase fructose-bisphosphate A, complement C3a, talin-1, and thrombospondin 1) and 3 new markers (glycogen phosphorylase B, lipoprotein a and profilin 1) were elevated in pediatric HCM. Using supervised machine learning applied to training (n=137) and validation cohorts (n=61), this 7-biomarker panel differentiated HCM from healthy controls with an area under the curve of 1.0 in the training data set (sensitivity 100% [95% CI, 95–100]; specificity 100% [95% CI, 96–100]) and 0.82 in the validation data set (sensitivity 75% [95% CI, 59–86]; specificity 88% [95% CI, 75–94]). Reduced circulating levels of 4 other peptides (apolipoprotein L1, complement 5b, immunoglobulin heavy constant epsilon, and serum amyloid A4) found in children with high sudden cardiac death risk provided complete separation from the low and intermediate risk groups and predicted mortality and adverse arrhythmic outcomes (hazard ratio, 2.04 [95% CI, 1.0–4.2];
P
=0.044).

CONCLUSIONS:
In children, a 7-biomarker proteomics panel can distinguish HCM from controls with high sensitivity and specificity, and another 4-biomarker panel identifies those at high risk of adverse arrhythmic outcomes, including sudden cardiac death.
Relationship between Synoptic Weather Patterns and Topography on Snowfall in the Idaho Mountainous Regions during the SNOWIE Project
Authors: Xie Zhixing , Friedrich Katja , Tessendorf Sarah A. , Xue Lulin , Chen Sisi , Whittock Theodore , Geerts Bart , Ikeda Kyoko 
Published: June 2024

Abstract
Snowpack melting is a crucial water resource for local ecosystems, agriculture, and hydropower in the Intermountain West of the United States. Glaciogenic seeding, a method widely used in mountain regions to enhance precipitation, has been subject to numerous field studies aiming to understand and validate this mechanism. However, investigating precipitation distribution and amounts in mountainous areas is complicated due to the intricate interplay of synoptic circulation patterns and local complex topography. These interactions significantly influence microphysical processes, ultimately affecting the amount and distribution of surface precipitation. To address these challenges, this study leverages Weather Research and Forecasting (WRF) Model simulations, providing high-resolution (900 m), hourly data, spanning the Payette region of Idaho from January to March 2017. We applied the self-organizing map approach to categorize the most representative synoptic circulation patterns and conducted a multiscale analysis to explore their associated environmental conditions and microphysical processes, aiming to assess the cloud seeding potential. The analysis identified four primary synoptic patterns: cold zonal flow (CZF), cold southwesterly flow (CSWF), warm zonal flow (WZF), and warm southwesterly flow (WSWF), constituting 21.3%, 23.1%, 30.0%, and 25.5%, respectively. CSWF and WSWF demonstrated efficiency in generating natural precipitation. These patterns were characterized by abundant supercooled liquid water (SLW) and ice particles, facilitating cloud droplet growth through seeder–feeder processes. On the other hand, CZF exhibited the least SLW and limited potential for cloud seeding, while WZF displayed a lower ice water content but substantial SLW in the diffusion/dendritic growth layer, suggesting a favorable scenario for cloud seeding.

Significance Statement
Understanding snowfall amounts and distribution in the mountains and how it is linked to topography, synoptic flow, and microphysical processes will help in the development of effective strategies for cloud seeding operations, managing runoff, reservoir, and mitigating flood risks, garnering substantial interest from stakeholders and the government agencies.
Dynamics and capability of along orbit debris self-collecting with rotating constant magnets
Authors: Zhang Yuan-wen , Ma Tian 
Published: June 2024

Orbital debris with equivalent size of 1∼10 cm is hard to be detected and its number is huge, which is the most harmful to on-orbit spacecraft while there is still no effective removal means. Inspired by vacuum cleaner, applying the conductive property of orbital debris and the physical law that variable magnetic flux would induce eddy current on the surface of a conductive material, this paper put forward a novel approach of ‘along orbit debris self-collecting with rotating constant magnetic dipole array’. Based on dynamic modeling, self-collecting feasibility and control capability analysis, evolution law of relative orbital motion with induced magnetic force derivation, and on-orbit debris magnetic collecting numerical simulation, this novel approach has been verified and the corresponding requirements of magnetic collector are put forward. In addition, this paper also gave how to use several key parameters to adjust the region of along orbit debris self-collecting, and pointed out several problems needing to be researched in-depth for actual application.
ExGenet, Integrating Design of Experiments and Response Surface Methodology for Cancer Gene Detection in Gene Regulatory Networks
Authors: Ayoubi Mahboube , Teimourpour Babak , Hassanzadeh Alireza 
Published: June 2024

Objective: Network analysis techniques often require tuning hyperparameters for optimal performance. For instance, the independent cascade model necessitates determining the probability of diffusion. Despite its importance, a consensus on effective parameter adjustment remains elusive. Methods: In this study, we propose a novel approach utilizing experimental design methodologies, specifically 2-Factorial Analysis for Screening, and Response Surface Methodology (RSM) for parameter adjustment. We apply this methodology to the task of detecting cancer driver genes in colorectal cancer. Result: Through experimental validation of colorectal cancer data, we demonstrate the effectiveness of our proposed methodology. Compared with existing methods, our approach offers several advantages, including reduced computational overhead, systematic parameter selection grounded in statistical theory, and improved performance in detecting cancer driver genes. Conclusion: This study presents a significant advancement in the field of network analysis by providing a practical and systematic approach to hyperparameter tuning. By optimizing parameter settings, our methodology offers promising implications for critical biomedical applications such as cancer driver gene detection.