bluuebunny/crossref_metadata_2025_split huggingface dataset:
Banked term umbilical cord blood to meet the packed red blood cell transfusion needs of extremely-low-gestational-age neonates: A feasibility analysis
Authors: Christensen Robert , Bahr Timothy , Christensen Thomas , Ohls Robin , Krong Jake , Carlton Lindsey , Henry Erick , Sheffield Mark , Gerday Erick , Ilstrup Sarah , Kelley Walter 
Published: October 2023

Abstract
OBJECTIVES: To assess the feasibility of drawing, processing, safety-testing, and banking term umbilical cord blood to meet the packed red blood cell transfusion (RBC Tx) needs of extremely-low-gestational-age neonates (ELGANs).
DESIGN: 1) Retrospectively analyze all ELGANs RBC Tx over the past three years, 2) Estimate local cord blood availability, 3) Assess interest in this project, and implementation barriers, through stakeholder surveys.
RESULTS: In three years we cared for 266 ELGANs; 165 (62%) received ≥1 RBC Tx. Annual RBC Tx averaged 197 (95% CI, 152 - 243). If 10% of our 10,353 annual term births had cord blood drawn and processed, and half of those tested were acceptable for Tx, collections would exceed the 95th % upper estimate for need by >four-fold. Interest exceeded 97%. Identified barriers included FDA approval, training to collect cord blood, and cost.
CONCLUSION: RBC Tx needs of ELGANS could be met by local cord blood collection.
Athletes with anterior cruciate ligament reconstruction display substantial impairments in knee biomechanics during neurocognitively challenged drop landings
Authors: aghdam Ghazal Mohammad gholipour , Medicine Faculty o Alizadeh Mohammad Hossein Department of Health and , Minoonejad Hooman , Shirzad Elham , Wilke Jan 
Published: October 2023

Abstract
Background
Reactive decision-making during athletic movement has been demonstrated to evoke unfavorable biomechanics associated with anterior cruciate ligament (ACL) rupture. However, the current evidence is based on assessments of healthy individuals. We aimed to investigate unplanned jump landing kinetics and kinematics in both ACL-reconstructed and non-injured athletes.
Results
The ACLR group produced lower knee flexion angles (-10%) during landing (p < .05). In addition, COP path lengths (+ 10%) and GRF (+ 21%) were higher for participants with a history of injury (p < .05). ACLR participants also scored lower for reaction time (p = .02) and processing speed (p = .01). Strong correlations (rho > .7) were found between aberrant lower limb biomechanics and deficits in cognitive function (p < .05).
Conclusions
Impaired reactive decision-making during athletic movement may contribute to the high re-injury risk in in individuals with ACLR. Prospective studies confirming potential cause-effect relationships are warranted.
Incremental Learning of LSTM-AutoEncoder Anomaly Detection in Three-Axis CNC Machines
Authors: Li Eugene , Li Yang , Bedi Sanjeev , Melek William , Gray Paul 
Published: October 2023

Abstract
There has been a continual effort to develop smarter, more effective CNC machines, capable of fully autonomous operation. To achieve this goal, the machines must be able to automatically detect operational and process anomalies before they cause serious damage. It has been shown that using Artificial Intelligence techniques, such as LSTM-AutoEncoders is an effective method for anomaly detection of issues such as machine chatter. Transfer learning is a valuable tool to decrease the amount of data required to implement this approach, but has lower accuracy than directly training a network on a large dataset. By implementing an incremental-ensemble of weak learners, we have been able to, not only capture changes in system dynamics over time, but incrementally improve the accuracy of a network trained through transfer learning to be comparable to a network directly trained on a large dataset. This allows us to quickly deploy networks on new systems, and obtain highly accurate anomaly estimates
Improving snow warning criteria in Portugal with Estrela mountain snow data
Authors: Moreira Nuno , Lopes Manuel João , Rio João , Neto Jorge , Narciso Paulo , Costa Elsa , Sacadura Paulo , Mendes Carlos , Nunes Pedro , Caldeira Pedro , Soares Paulo , Branco Samuel , Roque Elísio , António Pedro , Silva Rui , Tavares Manuel , Jorge Catarina 
Published: October 2023

Abstract

A major change on the snow warning in Portugal has been implemented in 2019 by the Portuguese meteorological service, resulting from a multidisciplinary approach using data and experience in Estrela mountain, in the centre of the country. Since then minor adjustments have been set and snow depth manual measurements have been gathered in five sites in Estrela mountain, at altitudes between 911 and 1993 m during four winter seasons, providing a better insight on the reality of snowfall and snow depth in the area. Additionally, since the end of 2020, a daily weather bulletin has been prepared and improved, and ultimately issued regularly, including tailored mountain point forecasts, such as hourly snowfall amounts, icy road conditions and snow storm conditions. This approach will be explained in detail, showing breakthroughs, such as a better understanding on the distribution, frequency and intensity of snow events. Finally, to further improve the knowledge of snowfall in Estrela mountain, possible activities are briefly explored and proposed, as enhancing instrumental monitoring, using less conventional data as webcams, crowdsource information and road salt, and exploring the relation of weather patterns with the vertical and horizontal distribution of snowfall.
A new semi empirical model for correlation of solubility of ligands in supercritical carbon dioxide
Authors: Subashree K , Krishna R Shruti , K Chinaraga Pitchaiah , Kumar Rahul , G Chandrasekhar , A Suresh , Sivaraman N. 
Published: October 2023

Abstract
The solubility data of task specific ligands in supercritical carbon dioxide medium (scCO2) plays an important role in development of green separation methods for recovery of metal ions. However, experimental determination of solubility of these ligands at different process conditions is difficult, time-intensive and necessitating suitable model predictions. Many models are developed in the literature for the correlation of solubility of liquid and solid solutes in scCO2 medium. However, specific models for solubility correlation of ligands in scCO2 medium are not reported. Hence, in the present study, a new semi-empirical model was proposed to predict the solubility of ligands in scCO2 medium and is a modified version of existing Chrastil model. The correlation ability of new model was compared with existing density based models (Chrastil, Adachi-Lu, del Valle-Aguilera, Sparks, Sung Shim, Mendez Santiago-Teja and Bartle). New model evaluation studies were carried out using reported solubility data of 31 metal ion specific ligands. The prediction ability of new model was compared using different objective functions, coefficient of determination (R2), absolute average relative deviation (AARD) and Akaike information criteria. The proposed model is accurate for correlating the solubility of ligands with a global AARD of 6.6%. The model was found to be most suitable for predicting the solubility of organophosphorus ligands with a mean AARD of 3.4%. Therefore, the proposed model can be employed for successful prediction of solubility of ligands in scCO2 medium.
Rising geopotential height under global warming
Authors: He Chao , Chen Xiaolong , Collins Matthew , Song Fengfei , Hu Yamin , Jiang Xingwen , Liu Yanju , Ding Yihui , Zhou Wen 
Published: October 2023

Abstract
Geopotential height (H) is a widely used metric for atmospheric circulation. H has been reported to be rising under global warming, but the amplitude and mechanism of this rise are not clear. Based on reanalysis datasets and climate models participating in CMIP6, this study quantitatively evaluates the sensitivity of H to global mean surface air temperature (Ts), i.e., dH/dTs. Reanalysis datasets and model simulations consistently show that dH/dTs increases monotonically with altitude in the troposphere, with a global averaged value of about 24.5 gpm/K at 500 hPa, which overwhelms the interannual H variability. Diagnosis based on the hypsometric equation shows that the rise in H is dominated by temperature-driven expansion, i.e., expansion of the air column due to warming-induced reduction of air density, while moisture-driven expansion and the surface pressure effect play only minor roles. Therefore, the magnitude of dH/dTs is determined largely by a vertical integration of the warming profile below the pressure level. Since the anthropogenic forced rise in H is rather horizontally uniform and proportional to Ts change, past and projected future changes in the global H field at each pressure level can be reproduced by change in Ts multiplied by a constant historical dH/dTs value. The spatially uniform rise in H reproduces the past and projected future expansion of the widely used H=5880 gpm contour at 500 hPa, suggesting that it does not indicate enhancement of the subtropical high but is simply caused by thermal expansion of the atmosphere.
The clinical profile, genetic basis and survival of childhood cardiomyopathy: a single- center retrospective study
Authors: Yuan Wenjing , Jia Zhongli , Li Jiajin , Liu Lingjuan , Tian Jie , Huang Xupei , Quan Junjun 
Published: October 2023

Abstract
Background: Cardiomyopathy (CM) is a heterogeneous group of myocardial diseases in children. This study aimed to identify demographic features, clinical presentation and prognosis of children with CM.
Methods: Clinical characteristics and prognostic factors associated with mortality were evaluated by Cox proportional hazards regression analyses. Genetic testing was also conducted on a portion of patients.
Results: Among the 317 patients, 40.1%, 25.2%, 24.6%, and 10.1% were diagnosed with dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), left ventricular noncompaction cardiomyopathy (LVNC) and restrictive cardiomyopathy (RCM), respectively. The most common symptom observed was dyspnea (84.2%). Except for HCM, the majority of patients were classified as NYHA/Ross class III or IV. The five- and ten- year survival rates were 75.5% and 60.1%, 67.3% and 56.1%, 74.1% and 57.2%, and 51.1% and 41.3% in DCM, HCM, LVNC, and RCM, respectively. Survival was inversely related to NYHA/Ross class III or IV in patients with DCM, HCM and RCM. Out of 42 patients, 32 were reported to carry gene mutations.
Conclusions: This study demonstrates that CM, especially RCM, is related to a high incidence of death. NYHA/Ross class III or IV is a predictor of mortality in the patients and gene mutations may be a common cause.
On translation surfaces of framed curves
Authors: Önder Mehmet 
Published: October 2023

Abstract
In this study, we study translation surfaces of framed curves in the 3-dimensional Euclidean space E3. First, we compute some important equations and geometric invariants such as first and second fundamental forms, Gauss equations, Christoffel symbols, Mainardi-Codazzi equations and Egregium Theorema. Using these equations, we introduce some characterizations of translation surfaces of framed curves. Also, we study some special cases such as framed generating curves of the surface are framed Bertrand-partner curves or Mannheim-partner curves.
MSC: 53A04, 53A05, 53A55.
Centella asiatica promotes antioxidant gene expression and mitochondrial oxidative respiration in experimental autoimmune encephalomyelitis
Authors: Kundu Payel , Yasuhara Kanon , Brandes Mikah S , Zweig Jonathan A , Neff Cody J , Holden Sarah , Kessler Kat , Matsumoto Steven , Offner Halina , Waslo Carin Stewart , Vandenbark Arthur , Soumyanath Amala , Sherman Larry S , Raber Jacob , Gray Nora E , Spain Rebbeca Irene 
Published: October 2023

Abstract
Centella asiatica (Centella) is a traditional botanical medicine that shows promise in treating dementia based on behavioral alterations seen in animal models of aging and cognitive dysfunction. In order to determine if Centella could similarly improve cognitive function and reduce disease burden in multiple sclerosis (MS), we tested its effects in the neuroinflammatory experimental autoimmune encephalomyelitis (EAE) model of MS. In two independent experiments, C57BL/6J mice were treated following induction of EAE with either a standardized water extract of Centella (CAW) or placebo for 2 weeks. At the dosing schedule and concentrations tested, CAW did not improve behavioral performance, EAE motor disability, or degrees of demyelination. However, CAW-treated mice demonstrated increases in nuclear factor (erythroid-derived 2)-like 2 and other antioxidant response element genes, and increases in mitochondrial respiratory activity. Caw also decreased spinal cord inflammation. Our findings indicate that CAW can increase antioxidant gene expression and mitochondrial respiratory activity in mice with EAE, supporting investigation of the clinical effects of CAW in people with MS.
Predicting Dental Caries Outcomes in Young Adults Using Machine Learning Approach
Authors: Ogwo Chukwuebuka , Grant Brown , Warren John , Caplan Daniel , Levy Steven 
Published: October 2023

Abstract

OBJECTIVES
To predict the dental caries outcomes in young adults from a set of longitudinally-obtained predictor variables and identify the most important predictors using machine learning techniques.
METHODS
This study was conducted using the Iowa Fluoride Study dataset. The predictor variables - sex, mother’s education, family income, composite socio-economic status (SES), caries experience at ages 9, 13, and 17, and the cumulative estimates of risk and protective factors, including fluoride, dietary, and behavioral variables from ages 5–9, 9–13, 13–17, and 17–23 were used to predict the age 23 D2+MFS count. The following machine learning models (LASSO regression, generalized boosting machines (GBM), negative binomial (NegGLM), and extreme gradient boosting models (XGBOOST)) were compared under 5-fold cross validation with nested resampling techniques.
RESULTS
The prevalence of cavitated level caries experience at age 23 (mean D2+MFS count) was 4.75. The predictive analysis found LASSO to be the best performing model (compared to GBM, NegGLM, and XGBOOST), with a root mean square error (RMSE) of 0.70, and coefficient of determination (R2) of 0.44. After dichotomization of the predicted and observed values of the LASSO regression, the classification results showed accuracy, precision, recall, and ROC AUC of 83.7%, 85.9%, 93.1%, 68.2%, respectively. Previous caries experience at age 13 and age 17 and sugar-sweetened beverages intakes at age 13 and age 17 were found to be the four most important predictors of cavitated caries count at age 23.
CONCLUSION
Our machine learning model showed high accuracy and precision in the prediction of caries in young adults from a longitudinally-obtained predictor variables. Our model could, in the future, after further development and validation with other diverse population data, be used by public health specialists and policy-makers as a screening tool to identify the risk of caries in young adults and apply more targeted interventions. However, data from a more diverse population are needed to improve the quality and generalizability of caries prediction.
New weighted norm inequalities and applications for multilinear Calderón-Zygmund operators with fractional kernels of Dini’s type and their commutators
Authors: Li Rui , Tao Shuangping 
Published: October 2023

Abstract
Let T be a multilinear Calderón-Zygmund operator with fractional kernel of Dini’s type. In this article, we introduce the multilinear fractional new maximal operator M ϕ,β to control the dyadic fractional sharp maximal functions of T and its com-mutators. Meanwhile, a new class of multiple weights A p,β (ϕ) is also introduced to characterize the boundedness of M ϕ,β. With the aid of the properties of M ϕ,β and A p,β (ϕ) condition, the strong and weak type multiple weighted estimates for T and its commutators with BMO ϕ,β functions are established. As applications, the weighted norm inequalities for the commutators of M ϕ,β will be obtained.
Mathematics Subject Classification 42B25 · 42B20 · 42B35 · 47B47
Stage I (T1N0M0) breast cancer with a median follow-up of 14 years: A retrospective cohort study of 328 consecutive patients and the prognostic value of tumor size, grade, and subtype
Authors: Hadar Maayan , Friger Michael , Ariad Samuel , Koretz Michael , Delgado Bertha , Tokar Margarita , Bayme Michael , Agassi Ravit , Rosenthal Maia , Dyomin Victor , Belochitski Olga , Amir Noa , Libson Shai , Meirovitz Amichay , Lazarev Irena , Abu-Ghanem Sara , Geffen David B. 
Published: October 2023

Abstract
Purpose
This study aimed to evaluate the long-term outcomes of stage I breast cancer(BC) patients diagnosed during the current era of screening mammography, immunohistochemistry receptor testing, and systemic adjuvant therapy. The primary endpoints were invasive disease-free survival (IDFS) and overall survival (OS).
Methods
A retrospective cohort study was conducted on 328 stage I BC patients treated consecutively in a single referral center with a follow-up period of at least 12 years. The STEEP system was used to define the endpoints. The influence of tumor size, grade, and subtype on the outcomes was analyzed.
Results
Most patients were treated by lumpectomy, sentinel node biopsy and adjuvant endocrine therapy and most (82%) were of subtype luminal-A. Only 24 patients underwent gene expression testing, which was introduced toward the end of the study period and 25.6% of our cohort received adjuvant chemotherapy. Mean invasive disease-free survival (IDFS) was 14.64 years, with a 15-year IDFS of 75.6%. Mean overall survival (OS) was 15.28 years with a 15-year OS of 74.9%. In a Cox multivariate analysis only tumor size (< 1 centimeter (cm) vs 1–2 cm), impacted significantly on IDFS. During follow-up, 20.1% of the cohort developed second primary cancers, including BC. Median time to diagnosis of a second BC was 6.49 years.
Conclusion
The study results emphasize the importance of long-term follow-up and screening for subsequent malignancies of patients with stage I BC and support the need for using prognostic and predictive indicators beyond the routine clinicopathological characteristics in luminal-A patients.
Implementing a direct access care model to mitigate injuries in career firefighters: A mixed methods study protocol
Authors: Heebner Nicholas R. , Abel Mark G. , Reiner Susannah L. , Hoch Johanna M. , Melton Bridget , Rous Beth , Uhl Timothy , Gribble Phillip A. 
Published: October 2023

Abstract
Purpose and Aims: A successful model for managing MSI in occupational settings is direct access and early intervention from integrated health care practitioners (HCPs). There is no widespread implementation of this model among fire departments. Subsequently, limited information is available to illustrate the benefit of HCPs integrated into the fire service. The barriers to the implementation of this model must be explored to address the currently limited adoption. Therefore, the purposes of this study include examining the mechanisms of MSI sustained by firefighters, establishing the impact that HCPs have in mitigating time loss from MSI, and identifying barriers to future implementation of the HCP direct access model.
Methods: A mixed-methods study will be conducted using convenience sampling of career firefighter departments across the United States. Qualitative interviews will explore the lived experiences of firefighters and HCPs to identify MSI mechanisms of injured firefighters. Data on MSI-related time loss and financial outcomes will be compiled and compared across departments with and without direct access to HCPs. Qualitative interviews will also be used to identify critical barriers to implementing the direct access model from key stakeholders in the Fire Service. Profiles of departments with and without direct access to HCPs will be discussed, integrating the subjective and objective findings.
Discussion: Insight from firefighters and HCPs on the mechanisms of MSI will provide a key platform to improve time-loss injury mitigation. Compiled objective data will indicate a potential improvement in MSI-related time-loss and financial burden in fire departments with direct access to HCPs over those without. Barriers to implementing an HCP access model will also be identified to facilitate future adoption. Collectively, these findings will lead to developing an evidence-based model for improving healthcare delivery and occupational injury in the fire service and related populations.
Impact of Glyphosate and Glyphosate-Based Herbicides on Phyllospheric Methylobacterium
Authors: Palberg Daniel , Kaszecki Emma , Dhanjal Chetan , Kisiała Anna , Morrison Erin , Stock Naomi , Emery R. J. Neil 
Published: October 2023

Abstract
Symbiotic Methylobacterium comprise a significant portion of the phyllosphere, and are known to benefit host plant growth, development, and confer tolerance to stress factors. The near ubiquitous use of the broad-spectrum herbicide, glyphosate, in farming operations globally has necessitated a more expansive evaluation of the impacts of the agent itself and formulations containing glyphosate on important components of the plant phyllosphere, including Methylobacterium. This study provides an investigation of the sensitivity of 18 strains of Methylobacterium to glyphosate and two commercially available glyphosate-based herbicides (GBH). Nearly all strains of Methylobacterium showed signs of sensitivity to the popular GBH formulations WeatherMax® and Transorb® in a modified Kirby Bauer experiment. However, exposure to pure forms of glyphosate did not show a significant effect on growth for any strain in both the Kirby Bauer test and in liquid broth, until polysorbate-20 (Tween20) was added as a surfactant. Artificially increasing membrane permeability through the introduction of polysorbate-20 caused a 78–84% reduction in dry cell biomass relative to controls containing glyphosate or high levels of surfactant only (0–9% and 6–37% reduction respectively). The observable high sensitivity of Methylobacterium to the tested GBH formulations, including complete bactericidal activity in liquid broth at concentrations as low as 0.05% w/v (500 µg/L), was shown by the inability to recover culture viability when transferred to fresh media. To better understand the compatibility of important phyllospheric bacteria with commercial herbicides, this study endeavours to uncover the feasibility of synthetic products with biofertilizers and explores possible mechanisms by which toxicity may be induced in Methylobacteria.