bluuebunny/crossref_metadata_2025_split huggingface dataset:
Persistent association between family socioeconomic status and primary school performance in Britain over 95 years
Authors: von Stumm Sophie , Cave Sophie Nicole , Wakeling Paul 
Published: April 2022

AbstractIn Britain and elsewhere, the influence of family socioeconomic status (SES) on education is already evident in primary school, and it persists and increases throughout the school years, with children from impoverished families earning lower grades and obtaining fewer educational qualifications than children from more privileged backgrounds. Reducing the effect of family background on children’s education is a pivotal aim of educators, policymakers, and researchers, but the success of their efforts is poorly evidenced to date. Here, we show for the first time that over 95 years in Britain the association between family SES and children’s primary school performance has remained stable. Across 16 British population cohorts born between 1921 and 2011 (N = 91,935), we confirmed previous findings of a correlation between family SES and children’s school performance of 0.28 [95% Confidence Interval 0.22–0.34], after adjusting for cohort-specific confounders. Contrary to the popular assumption that family background inequality has increased over time, we observed only minimal differences in the association between family SES and school performance across British cohorts. We argue that education policies must prioritize equity in learning outcomes over equality in learning opportunities, if they seek to disrupt the perpetuation of social and economic inequality across generations. We speculate that the influence of family SES on children’s education will only noticeably weaken if primary education settings become better equipped to meet and remediate the children’s differential learning needs.
U.S. national water and energy land dataset for integrated multisector dynamics research
Authors: Sturtevant Jillian , McManamay Ryan A. , DeRolph Christopher R. 
Published: April 2022

AbstractUnderstanding resource demands and tradeoffs among energy, water, and land socioeconomic sectors requires an explicit consideration of spatial scale. However, incorporation of land dynamics within the energy-water nexus has been limited due inconsistent spatial units of observation from disparate data sources. Herein we describe the development of a National Water and Energy Land Dataset (NWELD) for the conterminous United States. NWELD is a 30-m, 86-layer rasterized dataset depicting the land use of mappable components of the United States energy sector life cycles (and related water used for energy), specifically the extraction, development, production, storage, distribution, and operation of eight renewable and non-renewable technologies. Through geospatial processing and programming, the final products were assembled using four different methodologies, each depending upon the nature and availability of raw data sources. For validation, NWELD provided a relatively accurate portrayal of the spatial extent of energy life cycles yet displayed low measures of association with mainstream land cover and land use datasets, indicating the provision of new land use information for the energy-water nexus.
An innovative method for soil vapor extraction to improve extraction and tail gas treatment efficiency
Authors: Ding Yang , Zhang Yuling , Deng Zhiqun , Song Hewei , Wang Jili , Guo Haizhao 
Published: April 2022

AbstractThis study aims to improve soil vapor extraction (SVE) to address its shortcomings in treating halogenated hydrocarbon-contaminated soil. Indoor simulation experiments based on SVE were conducted to provide technical guidance for the remediation of 1,2-DCA-contaminated soil, with the overall intention of soil repair and ecological restoration. A thermal oxidation SVE (TOSVE) system was designed on the basis of SVE technology for application in the remediation of low-permeability soil contaminated with halogenated hydrocarbons from a chemical plant in Northeast China. Laboratory simulation experiments were conducted based on TOSVE technology to study the removal of target pollutants under different organic contents, moisture and air speeds. For the first time, a new material, scoria, was added to the oxidant at different proportions, and its effect on the exhaust gas treatment efficiency was examined. Thermal extraction improved the extraction efficiency of pollutants from low-permeability soil. Moreover, the adsorption–oxidation effect of 0.1–0.25 mm scoria prepared by 20% Na2S2O8 on 1,2-dichloroethane (1,2-DCA) in tail gas was higher than that of the oxidant without scoria, indicating that scoria is effective in tail gas treatment.
Naturalistic driving measures of route selection associate with resting state networks in older adults
Authors: Wisch Julie K. , Roe Catherine M. , Babulal Ganesh M. , Metcalf Nicholas , Johnson Ann M. , Murphy Samantha , Hicks Jamie , Doherty Jason M. , Morris John C. , Ances Beau M. 
Published: April 2022

AbstractOur objective was to identify functional brain changes that associate with driving behaviors in older adults. Within a cohort of 64 cognitively normal adults (age 60+), we compared naturalistic driving behavior with resting state functional connectivity using machine learning. Functional networks associated with the ability to interpret and respond to external sensory stimuli and the ability to multi-task were associated with measures of route selection. Maintenance of these networks may be important for continued preservation of driving abilities.
Impaired learning to dissociate advantageous and disadvantageous risky choices in adolescents
Authors: Jepma Marieke , Schaaf Jessica V. , Visser Ingmar , Huizenga Hilde M. 
Published: April 2022

AbstractAdolescence is characterized by a surge in maladaptive risk-taking behaviors, but whether and how this relates to developmental changes in experience-based learning is largely unknown. In this preregistered study, we addressed this issue using a novel task that allowed us to separate the learning-driven optimization of risky choice behavior over time from overall risk-taking tendencies. Adolescents (12–17 years old) learned to dissociate advantageous from disadvantageous risky choices less well than adults (20–35 years old), and this impairment was stronger in early than mid-late adolescents. Computational modeling revealed that adolescents’ suboptimal performance was largely due to an inefficiency in core learning and choice processes. Specifically, adolescents used a simpler, suboptimal, expectation-updating process and a more stochastic choice policy. In addition, the modeling results suggested that adolescents, but not adults, overvalued the highest rewards. Finally, an exploratory latent-mixture model analysis indicated that a substantial proportion of the participants in each age group did not engage in experience-based learning but used a gambler’s fallacy strategy, stressing the importance of analyzing individual differences. Our results help understand why adolescents tend to make more, and more persistent, maladaptive risky decisions than adults when the values of these decisions have to be learned from experience.
Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion
Authors: Peng Cheng , Chen Yufeng , Gui Weihua , Tang Zhaohui , Li Changyun 
Published: April 2022

AbstractIn turbofan engine datasets, to address problems, such as noise interference, diverse data types, large data volumes, complex feature extraction, inability to effectively describe degradation trends, and poor remaining useful life (RUL) prognosis effects, a remaining useful life prognosis model combining an improved stack sparse autoencoder (imSSAE) and an improved echo state network (imESN) is proposed in this paper. First, the 3-sigma criterion is adopted to remove the noise and reconstruct the data, and then the deep features of the engine are extracted by using an imSSAE and fused into health indicator (HI) curves describing the engine degradation trend. Finally, an attention mechanism is introduced into an imESN to adaptively process different types of data and obtain the RUL. The experimental results based on the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) dataset show that compared with the other popular RUL prediction models, the combined model proposed in this paper has higher prediction accuracy, and the evaluation indices also show the effectiveness and superiority of the model.
In-depth insights into Alzheimer’s disease by using explainable machine learning approach
Authors: Bogdanovic Bojan , Eftimov Tome , Simjanoska Monika 
Published: April 2022

AbstractAlzheimer’s disease is still a field of research with lots of open questions. The complexity of the disease prevents the early diagnosis before visible symptoms regarding the individual’s cognitive capabilities occur. This research presents an in-depth analysis of a huge data set encompassing medical, cognitive and lifestyle’s measurements from more than 12,000 individuals. Several hypothesis were established whose validity has been questioned considering the obtained results. The importance of appropriate experimental design is highly stressed in the research. Thus, a sequence of methods for handling missing data, redundancy, data imbalance, and correlation analysis have been applied for appropriate preprocessing of the data set, and consequently XGBoost model has been trained and evaluated with special attention to the hyperparameters tuning. The model was explained by using the Shapley values produced by the SHAP method. XGBoost produced a f1-score of 0.84 and as such is considered to be highly competitive among those published in the literature. This achievement, however, was not the main contribution of this paper. This research’s goal was to perform global and local interpretability of the intelligent model and derive valuable conclusions over the established hypothesis. Those methods led to a single scheme which presents either positive, or, negative influence of the values of each of the features whose importance has been confirmed by means of Shapley values. This scheme might be considered as additional source of knowledge for the physicians and other experts whose concern is the exact diagnosis of early stage of Alzheimer’s disease. The conclusions derived from the intelligent model’s data-driven interpretability confronted all the established hypotheses. This research clearly showed the importance of explainable Machine learning approach that opens the black box and clearly unveils the relationships among the features and the diagnoses.
Transcriptome analysis of umbilical cord mesenchymal stem cells revealed fetal programming due to chorioamnionitis
Authors: Noguchi Yusuke , Taki Atsuko , Honda Izumi , Sugie Manabu , Shidei Tsunanori , Ito Kazuyuki , Iwata Haruka , Koyama Akira , Okazaki Kaoru , Kondo Masatoshi , Morioka Chikako , Kashimada Kenichi , Morio Tomohiro 
Published: April 2022

AbstractAlthough chorioamnionitis (CAM) has been demonstrated to be associated with numerous short- and long-term morbidities, the precise mechanisms remain unclear. One of the reasons for this is the lack of appropriate models for analyzing the relationship between the fetal environment and chorioamnionitis and fetal programming in humans. In this study, we aimed to clarify the fetal programming caused by CAM using the gene expression profiles of UCMSCs. From nine preterm neonates with CAM (n = 4) or without CAM (n = 5), we established UCMSCs. The gene expression profiles obtained by RNA-seq analysis revealed distinctive changes in the CAM group USMSCs. The UCMSCs in the CAM group had a myofibroblast-like phenotype with significantly increased expression levels of myofibroblast-related genes, including α-smooth muscle actin (p < 0.05). In the pathway analysis, the genes involved in DNA replication and G1 to S cell cycle control were remarkably decreased, suggesting that cellular proliferation was impaired, as confirmed by the cellular proliferation assay (p < 0.01–0.05). Pathway analysis revealed that genes related to white fat cell differentiation were significantly increased. Our results could explain the long-term outcomes of patients who were exposed to CAM and revealed that UCMSCs could be an in vitro model of fetal programming affected by CAM.
Qualitative study identifies life shifts and stress coping strategies in people with multiple sclerosis
Authors: Lex Heidemarie , Price Pollie , Clark Lauren 
Published: April 2022

AbstractMultiple sclerosis (MS) is an auto-immune disease in which the body’s immune system attacks the central nervous system. The demyelination of the nerve fibers can lead to physical, emotional, and cognitive impairments. We wanted to learn about challenges of living with the illness and how people deal with stress. 128 individuals with MS from Austria and the US participated in the qualitative interviews. We interviewed participants and coded their answers using inductive grounded theory. We asked three open-ended questions to inquire about life since being diagnosed with MS as well as about dealing with stress. Life shifts since diagnosis involved ‘experiencing limitations’ and could be categorized in ‘emotional changes’, ‘changes with work’, ‘changes in social interaction’, ‘physical changes’, ‘changes in the medical context’. For dealing with stress active (strategies and activities) and passive coping strategies (avoid/ignore) were employed. General stress reactions were expressed in areas of emotional, physical and /or lifestyle. We recommend developing interventions in three core areas for the MS population: (1) dealing with life changes and significant experiences with MS, (2) focusing on the areas where life shifts took place, (3) focusing on active coping with stress and discussing consequences of passive coping strategies.
Endocrinological aspects of pituitary adenoma surgery in Europe
Authors: Netuka David , Grotenhuis André , Foroglou Nicolas , Zenga Francesco , Froehlich Sebastien , Ringel Florian , Sampron Nicolas , Thomas Nick , Komarc Martin , Kosák Mikuláš , Májovský Martin 
Published: April 2022

AbstractHormone-secreting adenomas are treated in many neurosurgical centers within Europe. The goal of the survey is to understand variance in practice management of pituitary tumors amongst neurosurgical centers. A list of departments performing pituitary surgery was created. The survey consisted of 58 questions. This study focuses on neurosurgical care of hormone-secreting adenomas. For analysis, the departments were divided into four subgroups: academic/non-academic, high-volume/low-volume, “mainly endoscopic/mainly microscopic practice” and geographical regions. Data from 254 departments from 34 countries were obtained. Most centers surgically treat 1–5 hormone-secreting adenomas per year. In prolactinomas this is the case in 194 centers, (76.4%), in GH-secreting adenomas: 133 centers, (52.4%), ACTH-secreting adenomas: 172 centers, (69.8%). Surgery as a primary treatment of prolactinomas is considered in 64 centers (25.2%). In 47 centers (18.8%), GH-secreting microadenomas are often treated pharmacologically first. Debulking surgery for an invasive GH-secreting adenoma in which hormonal remission is not a realistic goal of the surgery and the patient has no visual deficit surgery is always or mostly indicated in 156 centers (62.9%). Routine postoperative hydrocortisone replacement therapy is administered in 147 centers (58.6%). Our survey shows that in most centers, few hormone-secreting adenomas are treated per year. In about 25% of the centers, prolactinoma surgery may be regarded as first-line treatment; in about 20% of the centers, medical treatment is the first-line treatment for GH-secreting adenomas. Pretreatment for ACTH-secreting adenomas is routinely used in 21% of centers. This survey may serve as plea for neurosurgical care centralization of hormone-secreting adenomas.
Ultrasound waves in tumors via needle irradiation for precise medicine
Authors: Cutolo Antonello , Carotenuto Angelo Rosario , Cutolo Maria Alessandra , Cutolo Arsenio , Giaquinto Martino , Palumbo Stefania , Cusano Andrea , Fraldi Massimiliano 
Published: April 2022

AbstractGrounded in the interdisciplinary crosstalk among physics and biological sciences, precision medicine-based diagnosis and treatment strategies have recently gained great attention for the actual applicability of new engineered approaches in many medical fields, particularly in oncology. Within this framework, the use of ultrasounds employed to attack cancer cells in tumors to induce possible mechanical damage at different scales has received growing attention from scholars and scientists worldwide. With these considerations in mind, on the basis of ad hoc elastodynamic solutions and numerical simulations, we propose a pilot study for in silico modeling of the propagation of ultrasound waves inside tissues, with the aim of selecting proper frequencies and powers to be irradiated locally through a new teragnostic platform based on Lab-on-Fiber technology, baptized as ahospital in the needleand already the object of a patent. It is felt that the outcomes and the related biophysical insights gained from the analyses could pave the way for envisaging new integrated diagnostic and therapeutic approaches that might play a central role in future applications of precise medicine, starting from the growing synergy among physics, engineering and biology.
Effects of exercise on NAFLD using non-targeted metabolomics in adipose tissue, plasma, urine, and stool
Authors: Babu Ambrin Farizah , Csader Susanne , Männistö Ville , Tauriainen Milla-Maria , Pentikäinen Heikki , Savonen Kai , Klåvus Anton , Koistinen Ville , Hanhineva Kati , Schwab Ursula 
Published: April 2022

AbstractThe mechanisms by which exercise benefits patients with non-alcoholic fatty liver disease (NAFLD), the most common liver disease worldwide, remain poorly understood. A non-targeted liquid chromatography-mass spectrometry (LC–MS)-based metabolomics analysis was used to identify metabolic changes associated with NAFLD in humans upon exercise intervention (without diet change) across four different sample types—adipose tissue (AT), plasma, urine, and stool. Altogether, 46 subjects with NAFLD participated in this randomized controlled intervention study. The intervention group (n = 21) performed high-intensity interval training (HIIT) for 12 weeks while the control group (n = 25) kept their sedentary lifestyle. The participants' clinical parameters and metabolic profiles were compared between baseline and endpoint. HIIT significantly decreased fasting plasma glucose concentration (p = 0.027) and waist circumference (p = 0.028); and increased maximum oxygen consumption rate and maximum achieved workload (p < 0.001). HIIT resulted in sample-type-specific metabolite changes, including accumulation of amino acids and their derivatives in AT and plasma, while decreasing in urine and stool. Moreover, many of the metabolite level changes especially in the AT were correlated with the clinical parameters monitored during the intervention. In addition, certain lipids increased in plasma and decreased in the stool. Glyco-conjugated bile acids decreased in AT and urine. The 12-week HIIT exercise intervention has beneficial ameliorating effects in NAFLD subjects on a whole-body level, even without dietary changes and weight loss. The metabolomics analysis applied to the four different sample matrices provided an overall view on several metabolic pathways that had tissue-type specific changes after HIIT intervention in subjects with NAFLD. The results highlight especially the role of AT in responding to the HIIT challenge, and suggest that altered amino acid metabolism in AT might play a critical role in e.g. improving fasting plasma glucose concentration.Trial registration ClinicalTrials.gov (NCT03995056).
Influence of skeletal muscle volume loss during lenvatinib treatment on prognosis in unresectable hepatocellular carcinoma: a multicenter study in Tohoku, Japan
Authors: Fujita Masashi , Abe Kazumichi , Kuroda Hidekatsu , Oikawa Takayoshi , Ninomiya Masashi , Masamune Atsushi , Okumoto Kazuo , Katsumi Tomohiro , Sato Wataru , Iijima Katsunori , Endo Tetsu , Fukuda Shinsaku , Tanabe Nobukazu , Numao Hiroshi , Takikawa Yasuhiro , Ueno Yoshiyuki , Ohira Hiromasa 
Published: April 2022

AbstractSarcopenia is associated with poor prognosis of patients with hepatocellular carcinoma (HCC). We investigated the association of skeletal muscle volume (SMV) and its change in HCC patients taking lenvatinib. In 130 HCC patients, psoas mass index (PMI) was calculated as the left–right sum of the major × minor axis of psoas muscle at the third lumbar vertebra, divided by height squared. Patients were classified into two groups (low and normal PMI) based on indices of < 6.0 cm2/m2 for man and < 3.4 cm2/m2 for women. Change in PMI per month during the lenvatinib administration period (ΔPMI/m) was calculated; and patients were classified into two groups (severe and mild atrophy) based on the ΔPMI/m rate, as ≥ 1% or < 1%, respectively. There was no significant difference in Overall survival (OS) between the low and normal PMI groups at the start of lenvatinib administration. OS was significantly lower in the severe atrophy group than in the mild atrophy group (median; 15.2 vs. 25.6 months, P = 0.005). Multivariate analysis revealed a significant association of severe atrophy with OS (hazard ratio 1.927, P = 0.031). Progressive loss of SMV is a strong predictor of poor prognosis in HCC patients taking lenvatinib.
Glycoprotein nonmetastatic melanoma protein B regulates lysosomal integrity and lifespan of senescent cells
Authors: Suda Masayoshi , Shimizu Ippei , Katsuumi Goro , Hsiao Chieh Lun , Yoshida Yohko , Matsumoto Naomi , Yoshida Yutaka , Katayama Akihiro , Wada Jun , Seki Masahide , Suzuki Yutaka , Okuda Shujiro , Ozaki Kazuyuki , Nakanishi-Matsui Mayumi , Minamino Tohru 
Published: April 2022

AbstractAccumulation of senescent cells in various tissues has been reported to have a pathological role in age-associated diseases. Elimination of senescent cells (senolysis) was recently reported to reversibly improve pathological aging phenotypes without increasing rates of cancer. We previously identified glycoprotein nonmetastatic melanoma protein B (GPNMB) as a seno-antigen specifically expressed by senescent human vascular endothelial cells and demonstrated that vaccination against Gpnmb eliminated Gpnmb-positive senescent cells, leading to an improvement of age-associated pathologies in mice. The aim of this study was to elucidate whether GPNMB plays a role in senescent cells. We examined the potential role of GPNMB in senescent cells by testing the effects of GPNMB depletion and overexpression in vitro and in vivo. Depletion of GPNMB from human vascular endothelial cells shortened their replicative lifespan and increased the expression of negative cell cycle regulators. Conversely, GPNMB overexpression protected these cells against stress-induced premature senescence. Depletion of Gpnmb led to impairment of vascular function and enhanced atherogenesis in mice, whereas overexpression attenuated dietary vascular dysfunction and atherogenesis. GPNMB was upregulated by lysosomal stress associated with cellular senescence and was a crucial protective factor in maintaining lysosomal integrity. GPNMB is a seno-antigen that acts as a survival factor in senescent cells, suggesting that targeting seno-antigens such as GPNMB may be a novel strategy for senolytic treatments.