bluuebunny/crossref_metadata_2025_split huggingface dataset:
LCA of building materials within the framework of the Construction Products Regulation (CPR) in Europe
Authors: Lützkendorf Thomas 
Published: December 2022

AbstractBuildings and constructed assets form the basis for economic and social development. However, their production, construction, maintenance and operation lead, among other things, to the use of natural resources and cause undesirable effects on the global and local environment. Increasingly, therefore, requirements for the environmental performance of buildings are being formulated in funding programs, sustainability assessment systems and legislation. Life cycle assessment (LCA) is used as a method for recording, evaluating and influencing the environmental performance of buildings. The assessment of the environmental performance ‐ and as part of it ‐ the preparation of the LCA requires the provision and availability of environmentally relevant product information on all building materials, components and technical systems. Based on the draft of the Construction Products Regulation (CPR) in Europe as well as the state of standardization, the contribution discusses how requirements for construction product characteristics and construction product information can be derived from the requirements for buildings. Consequences for product development and the communication of technical and environmental product information are discussed.
How Research Data Management Plans Can Help in Harmonizing Open Science and Approaches in the Digital Economy
Authors: Salazar Abel , Wentzel Bianca , Schimmler Sonja , Gläser Roger , Hanf Schirin , Schunk Stephan A. 
Published: December 2022

AbstractWithin this perspective article, we intend to summarise definitions and terms that are often used in the context of open science and data‐driven R&D and we discuss upcoming European regulations concerning data, data sharing and handling. With this background in hand, we take a closer look at the potential connections and permeable interfaces of open science and digital economy, in which data and resulting immaterial goods can become vital pieces as tradeable items. We believe that both science and the digital economy can profit from a seamless transition and foresee that the scientific outcomes of publicly funded research can be better exploited. To close the gap between open science and the digital economy, and to serve for a balancing of the interests of data producers, data consumers, and an economy around services and the public, we introduce the concept of generic research data management plans (RDMs), which have in part been developed through a community effort and which have been evaluated by academic and industry members of the NFDI4Cat consortium. We are of the opinion that in data‐driven research, RDMs do need to become a vital element in publicly funded projects.
Carbonylmetallates as Versatile 2‐, 4‐ or 6‐Electron Donor Metalloligands in Transition‐Metal Complexes and Clusters: A Global Approach
Authors: Naili Noura , Kahlal Samia , Zouchoune Bachir , Saillard Jean‐Yves , Braunstein Pierre 
Published: December 2022

AbstractCarbonylmetallates [m]−, such as [MoCp(CO)3]−, [Mn(CO)5]−, [Co(CO)4]−, have long been successfully used in the preparation of hundreds of metal‐metal bonded carbonyl complexes and clusters, in particular of the heterometallic type. We focus here on situations where [m]−can be viewed as a terminal, doubly or even triply bridging metalloligand, developing metal‐metal interactions with one, two or three metal centers M, respectively. With metals M from the Groups 10–12, it is not straightforward or even impossible to rationalize the structure of the resulting clusters by applying the well‐known Wade‐Mingos rules. A very simple but global approach is presented to rationalize structures not obeying usual electron‐counting rules by considering the anionic building blocks [m]−as metalloligands behaving formally as potential 2‐, 4‐ or 6‐electron donors, similarly to what is typically encountered with for example halido ligands. Qualitative and theoretical arguments by using DFT calculations highlight similarities between seemingly unrelated metal complexes and clusters and also entail a predicting power with high synthetic potential.
Carborane Analogues of Fenoprofen Exhibit Improved Antitumor Activity
Authors: Useini Liridona , Mojić Marija , Laube Markus , Lönnecke Peter , Mijatović Sanja , Maksimović‐Ivanić Danijela , Pietzsch Jens , Hey‐Hawkins Evamarie 
Published: December 2022

AbstractFenoprofen is a widely used nonsteroidal anti‐inflammatory drug (NSAID) against rheumatoid arthritis, degenerative joint disease, ankylosing spondylitis and gout. Like other NSAIDs, fenoprofen inhibits the synthesis of prostaglandins by blocking both cyclooxygenase (COX) isoforms, COX‐1 the “house‐keeping” enzyme and COX‐2 the induced isoform from pathological stimuli. Unselective inhibition of both COX isoforms results in many side effects, but off‐target effects have also been reported. The steric modifications of the drugs could afford the desired COX‐2 selectivity. Furthermore, NSAIDs have shown promising cytotoxic properties. The structural modification of fenoprofen using bulky dicarba‐closo‐dodecaborane(12) (carborane) clusters and the biological evaluation of the carborane analogues for COX inhibition and antitumor potential showed that the carborane analogues exhibit stronger antitumor potential compared to their respective aryl‐based compounds.
Parkinson's disease fluid biomarkers for differential diagnosis of atypical parkinsonian syndromes
Authors: Yang Jun , Idowu Ayotimofe , Rosenthal Liana , Mao Xiaobo 
Published: December 2022

AbstractThe scope of the present review is to synthesize existing literature data on fluid biomarkers for Parkinson's disease (PD) and atypical parkinsonian syndromes (APS). Parkinsonian syndromes encompass a body of heterogeneous neurodegenerative diseases marked by characteristic movement dysfunction, among which PD is the most prevalent form. In addition to the stereotypical presentation of PD, patients may also manifest atypical symptoms that raise the suspicion of APS, such as PD with dementia, progressive supranuclear palsy, multiple system atrophy, dementia with Lewy body, and corticobasal degeneration.Clinical diagnosis of PD and APS depends heavily on patients’ presenting symptoms without reliable objective tests or imaging studies. Fluid biomarkers are powerful tools that facilitate diagnosing and monitoring various parkinsonian syndromes. Therefore, establishing parkinsonian biomarkers is a necessary step in the scope of basic science research and clinical practice. This review will discuss some of the past decade's most promising cerebrospinal fluid and other fluid biomarkers. We highlighted the shortcomings of alpha‐synuclein (α‐syn), Aβ42, and tau as differences in the expression of these proteins are moderate at best. Protein misfolding cyclic amplification and real‐time quaking‐induced conversion are novel techniques with remarkable discriminatory capacity for PD and APS. Autoantibodies have also introduced a marker for possible early diagnosis and staging for PD. Neurofilament light chain and microRNAs are promising fluid biomarkers that may be more suitable as biomarkers compared to α‐syn, Aβ42, and tau. At its current stage, fluid‐based biomarkers have improved significantly in diagnosing PD from healthy controls and differentiating between PD and APS, but insufficient for clinical usage due to a lack of validation and limitation in discriminatory power.
Expressed emotion and treatment outcome in higher levels of care for eating disorders
Authors: Rienecke Renee D. , Gorrell Sasha , Johnson Madelyn , Duffy Alan , Mehler Philip S. , Le Grange Daniel 
Published: December 2022

AbstractObjectiveExpressed emotion (EE) among caregivers toward the affected offspring is a negative prognostic indicator for adolescent patients with eating disorders (EDs) in outpatient treatment. Less research has examined its impact on adolescents in higher levels of care (HLOC). The current study examined differences in caregiver EE according to the subtype of anorexia nervosa (AN) (restricting [AN‐R] versus binge/purge [AN‐BP]), and level of care (LOC). We also examined the main effects of baseline caregiver EE (emotional overinvolvement [EOI] or criticism), AN subtype, and their interaction on eating pathology and depression at discharge.MethodAdolescent patients (N = 203) receiving treatment at HLOCs completed measures of ED pathology (Eating Disorder Examination‐Questionnaire) and depression (Patient Health Questionnaire‐9) at baseline and discharge, and one caregiver of each patient completed a measure of EE (Family Questionnaire) at baseline.ResultsNo differences in caregiver EE were found between patients with AN‐R versus AN‐BP, or relative to LOC. Caregiver EE did not predict outcome for ED symptoms or depression at discharge.DiscussionThe impact of high caregiver EE may be less substantial at HLOCs than outpatient care given that caregivers are less involved in treatment at HLOCs. Future research is needed to determine if high caregiver EOI leads to poor treatment outcome for adolescents as it does for adults, or whether it is an appropriate expression of care for patients who are ill enough to require HLOC treatment.Public significance statementHigh caregiver EE was not found to predict treatment outcome for adolescents with eating disorders in higher levels of care (HLOCs), possibly due to the limited involvement of caregivers in HLOCs. However, patients step down to outpatient treatment, where high caregiver EE can have a significant negative impact on outcome. HLOCs should incorporate efforts to reduce high caregiver EE in anticipation of step‐down to outpatient treatment.
Kinetics of the used cooking oil transesterification in the presence of slaked lime and the triethanolamine:menthol deep eutectic solvent
Authors: Kostić Milan D. , Bijelić Ana B. , Stamenković Olivera S. , Veljković Vlada B. 
Published: December 2022

AbstractThe biodiesel production from the used cooking oils from the frying of different food items (French fries, chicken breasts, or pork steaks) and methanol in the presence of slaked lime as a catalyst and the triethanolamine:menthol (1:2 mol/mol) deep eutectic solvent as a cosolvent was studied. This deep eutectic solvent accelerated the transesterification reaction. The transesterification reaction involves only the chemical reaction controlled region from its beginning and follows the pseudo‐first‐order reaction rate law. A good agreement between the model and the experimental data was confirmed by a low mean relative percent deviation between the predicted and observed values of triacylglycerol conversion degree (<3.5%). The highest apparent reaction rate constant of 0.421 min−1 was achieved with the used cooking oil from frying pork steaks at 60°C. The activation energy increases in the following order of the used cooking oils from frying the food items:French fries (23.1 kJ/mol) chicken breasts (30.7 kJ/mol) pork steaks (41.6 kJ/mol). A methyl esters content higher than 97.5% was achieved within 40 min of the transesterification of the used cooking oils over slaked lime combined with the triethanolamine:menthol deep eutectic solvent.
Turbine modeling for steady‐state analysis in hydropower plant networks with complex layouts using a modified global gradient algorithm
Authors: Ma Weichao , Lai Xu , Yang Jiebin , Liu Chengpeng , Zhao Zhigao , Huang Yifan , Yang Jiandong , Zhao Guilian 
Published: December 2022

AbstractTurbines are generally oversimplified in conventional algorithms for steady‐state analysis of hydropower plant (HPP) networks. Moreover, conventional algorithms are hardly suitable for serial HPPs. In this paper, a modified global gradient algorithm (MGGA) is developed by extending turbine models and optimizing turbine interpolation. First, the nonlinear model of turbines is established with the proposed variable resistance factor and added to the global matrix. Then turbine unit quantity interpolation is proposed to compute the turbine operating parameters. Finally, turbine links and pipes can be iterated synchronously, and the global matrix is solved using the Newton–Raphson method. Characteristics of MGGA are evaluated by employing two test HPPs, including rapidity of convergence, computational stability of turbine, and applicability for serial HPPs. The results show that: (a) The iterative numbers of the MGGA are 0.72 and 4.98 times on average less than that of CA1 and CA2 for the accuracy of 10−6 in 400 operating conditions, even though MGGA has an obvious hysteretic nature; (b) Only MGGA can successfully calculate the extreme cases that large head losses in HPP networks; (c) Although fixed head nodes are not present between turbine links, such as serial HPPs, MGGA still works.
Influence of Bisphenol A and 17β-Trenbolone Exposure in Oryzias Congeners
Authors: Horie Yoshifumi , Chiba Takashi 
Published: December 2022

Abstract
Japanese medaka is specified as a model fish in the test guidelines of the Organisation for Economic Co-operation and Development. Recently, populations of Japanese medaka in Japan were divided into two species, the northern Oryzias sakaizumii and the southern O. latipes. Previously, we reported that induction concentrations for sex reversal by exposure to 17α-methyltestosterone differed significantly between these two species, indicating that they respond differently to endocrine-disrupting chemica. In the present study, we examined the effects of exposure to two more endocrine-disrupting chemicals (bisphenol A and 17β-trenbolone) in O. sakaizumii, and compared the results with those previously reported for O. latipes. Exposure to both bisphenol A and 17β-trenbolone induced testis–ova formation or sex reversal in O. sakaizumii. Exposure to 17β-trenbolone also increased expression of gonadal soma-derived factor (gsdf). Least-observed-effect concentrations for gonadal sex differentiation and gsdf expression were lower for O. latipes than for O. sakaizumii after exposure to bisphenol A, and were lower for O. sakaizumii than for O. latipes after exposure to 17β-trenbolone. These results demonstrate that O. sakaizumii and O. latipes respond differently to androgenic and estrogenic endocrine-disrupting chemicals. Environ Toxicol Chem 2023;42:673–678. © 2022 SETAC
Estimating Sources, Fluxes, and Ecological Risks of Antibiotics in the Wuhan Section of the Yangtze River, China: A Year-Long Investigation
Authors: Chen Yulin , Tan Yang , Wang Yile , Ma Yongfei , Li Ping , Du Zhenjie , Yang Lie , Wu Li , Cui Song , Ding Yongzhen , Qi Xuebin , Zhang Zulin 
Published: December 2022

Abstract
To our knowledge, ours is the first study to investigate the annual fluxes, environmental fate, and ecological risks of five categories of antibiotics from the Wuhan section of the Yangtze River (China). All the 24 antibiotics we tested for were detected in water, with total concentrations of 17.11–867.2 ng/L (mean: 63.69 ng/L), and 19 antibiotics were detected in sediment, at 0.02–287.7 ng/g (mean: 16.54 ng/g). Sulfonamides, amphenicols, and macrolides were the three most prominent antibiotic classes in water, and fluoroquinolones were the most prominent in sediment. Farming activities (animal husbandry and aquaculture) are proposed as the largest contributors to antibiotic pollution in the Wuhan section of the Yangtze River according to the Unmix model, followed by municipal wastewater and mixed sources. Higher pollution levels were observed downstream (combined discharge of these sources). Monthly monitoring data (12 months) were used to estimate antibiotic annual fluxes, with 101.5 t (uncertainty: 5.6%) in the Wuhan section of the Yangtze River. Risk assessments showed that erythromycin, clarithromycin, and azithromycin posed medium and high ecological risks and were found in 9%–35% and 1.8%–3.7% of all water samples, respectively; enrofloxacin, clarithromycin, azithromycin, florfenicol, and thiamphenicol posed medium resistance risks in 1.9%–16.7% of waters in the Wuhan section of the Yangtze River. Our results have filled data gaps on antibiotic sources, annual fluxes, and resistance risk in the Wuhan section of the Yangtze River and demonstrated the importance of further management of antibiotic use in the studied areas. Environ Toxicol Chem 2023;42:605–619. © 2022 SETAC
An Assessment of the Feasibility of Phytoextraction for the Stripping of Bioavailable Metals from Contaminated Soils
Authors: Santa-Cruz Javier , Robinson Brett , Krutyakov Yurii A. , Shapoval Olga A. , Peñaloza Patricia , Yáñez Carolina , Neaman Alexander 
Published: December 2022

Abstract
Phytoextraction has been proposed in many papers as a low-cost method for remediating contaminated soil. However, if national regulation is based on total metal(loid) concentrations in soil, phytoextraction is generally infeasible because of the long time required for remediation. Assessing phytoextraction requires determination of the dynamic rate of metal removal from soil. Phytoextraction may be feasible if the main goal is to reduce the soluble fraction of the metal(loid) with the goal of reducing bioavailability. However, it has been reported that there is a large mass balance mismatch between the reduction of the soluble metal fraction in contaminated soil and metal uptake by plants. Several studies report that the decrease of soluble fraction of metals in soil is higher than can be accounted for by plant uptake. In other words, studies generally overestimate the feasibility of bioavailable contaminant stripping. Therefore, a more rigorous approach is advisable to ensure that papers on bioavailable contaminant stripping include relevant information on mass balances. Furthermore, to implement the concept of bioavailable contaminant stripping, regulations must distinguish between the bioavailable fraction and the total metal concentration in soil. Environ Toxicol Chem 2023;42:558–565. © 2022 SETAC
PhiPipe: A multi‐modal MRI data processing pipeline with test–retest reliability and predicative validity assessments
Authors: Hu Yang , Li Qingfeng , Qiao Kaini , Zhang Xiaochen , Chen Bing , Yang Zhi 
Published: December 2022

AbstractMagnetic resonance imaging (MRI) has been one of the primary instruments to measure the properties of the human brain non‐invasively in vivo. MRI data generally needs to go through a series of processing steps (i.e., a pipeline) before statistical analysis. Currently, the processing pipelines for multi‐modal MRI data are still rare, in contrast to single‐modal pipelines. Furthermore, the reliability and validity of the output of the pipelines are critical for the MRI studies. However, the reliability and validity measures are not available or adequate for almost all pipelines. Here, we present PhiPipe, a multi‐modal MRI processing pipeline. PhiPipe could process T1‐weighted, resting‐state BOLD, and diffusion‐weighted MRI data and generate commonly used brain features in neuroimaging. We evaluated the test–retest reliability of PhiPipe's brain features by computing intra‐class correlations (ICC) in four public datasets with repeated scans. We further evaluated the predictive validity by computing the correlation of brain features with chronological age in three public adult lifespan datasets. The multivariate reliability and predictive validity of the PhiPipe results were also evaluated. The results of PhiPipe were consistent with previous studies, showing comparable or better reliability and validity when compared with two popular single‐modality pipelines, namely DPARSF and PANDA. The publicly available PhiPipe provides a simple‐to‐use solution to multi‐modal MRI data processing. The accompanied reliability and validity assessments could help researchers make informed choices in experimental design and statistical analysis. Furthermore, this study provides a framework for evaluating the reliability and validity of image processing pipelines.
Prognostic significance of head and neck spindle cell carcinoma
Authors: Patel Aman M. , Choudhry Hannaan S. , Desai Amar D. , Shah Vraj P. , Patel Prayag , Eloy Jean Anderson , Roden Dylan F. , Fang Christina H. 
Published: December 2022

AbstractBackgroundOur study investigates the prognostic significance of spindle cell histology on overall survival (OS) of conventional head and neck squamous cell carcinoma (HNSCC).MethodsThe 2004 to 2017 National Cancer Database was queried for patients with head and neck spindle cell carcinoma (HNSpCC) (n = 1572) or HNSCC (n = 242 697) of the oral cavity, major salivary glands, sinonasal tract, oropharynx, hypopharynx, and larynx treated with curative intent.ResultsPatients with HNSpCC presented more frequently with higher‐grade tumors and cN0 disease than those with HNSCC (p < 0.001). In the oral cavity, the HR for death for SpCC compared with SCC was 1.33 (p < 0.001). In the oropharynx, the HR for death for SpCC compared with SCC was 1.47 (p = 0.028).ConclusionsAfter adjusting for patient, tumor, and treatment characteristics, SpCC histology had an independent adverse prognostic effect on OS in the oral cavity and oropharynx. SpCC histology does not necessarily portend poorer survival in all HNSCC.Level of Evidence: 4.
Emerging roles of circRNAs in leukemia and the clinical prospects: An update
Authors: Deng Wei , Chao Rong , Zhu Shengdong 
Published: December 2022

AbstractBackgroundCircular RNAs (circRNAs) are a new category of endogenous non‐protein coding RNAs (ncRNAs), and show the characteristics of high conservation, stability, and tissue specificity. Due to rapid advances in next‐generation sequencing and transcriptome profiling technologies, circRNAs have been widely discovered in many organisms and participated in the development and progress of a variety of diseases. As a type of molecular sponge, circRNAs mainly absorb micro RNAs competitively and interplay with RNA‐binding proteins to modulate the splicing as well as transcription of target genes.MethodsThis review is based on a literature search using the Medline database. Search terms used were “circular RNAs and leukemia,” “circRNAs and leukemia,” “circRNAs and acute lymphoblastic leukemia,” “circRNAs and chronic lymphoblastic leukemia,” “circRNAs and acute myeloid leukemia,” “circRNAs and chronic myeloid leukemia,” and “circRNAs, biomarker, and hematological system.”ResultsCircRNAs have been proven as potential biomarkers and therapeutic targets in a variety of tumors. Recent research has found that circRNAs aberrantly exist in hematological cancers, especially leukemia, and are significantly associated with the incidence, progress, and metastasis of diseases as well as the prognosis of patients.ConclusionThe current work summarizes the latest findings on circRNAs in various types of leukemia, aiming to propose prospective therapies and new drug screening methods for the treatment of leukemia.