bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robust optimal scheduling of integrated energy systems considering multiple uncertainties
Authors: Hu Keyong , Wang Ben , Feng Yang , Cao Shihua , Wang Lidong , Li Wenjuan 
Published: August 2023

AbstractMultiple uncertainties such as renewable energy output, energy purchase prices and integrated demand responses have brought about severe challenges to the safe and economic operation of integrated energy system (IES). To meet this challenge, this study takes the combined cooling heating and power as an example of IES and proposes an optimization model considering multiple uncertainties. First, the structure of IES is given, and these mathematical models and constraints are listed according to the energy supply characteristics. Second, considering uncertain factors such as the wind and solar output, comprehensive demand response and energy purchase price, the different characterization methods are selected to model the uncertainty sources by identifying the characteristics of multiple uncertainty sources. Then, combining the stochastic scenario method and robust optimization method, a day‐ahead optimal scheduling model of IES with multiple uncertainties is established, and the whale optimization algorithm is improved to obtain the optimal solution of the model. Finally, the actual data of an IES is selected to verify the rationality and effectiveness of the model. Meanwhile, the influence of uncertain factors on scheduling is introduced to verify the perfect coordination of economy and robustness of the model at runtime.
Microplastic Pollution in the Gastrointestinal Tract and Gills of Some Teleost and Sturgeon Fish from the Caspian Sea, Northern Iran
Authors: Rasta Majid , Khodadoust Ali , Rahimibashar Mohammad Reza , Taleshi Mojtaba S. , Sattari Masoud 
Published: August 2023

Abstract
The increasing microplastic pollution in the marine environment has raised global concern. The main risk of microplastics in aquatic ecosystem is their bioaccumulation in aquatic organisms. A few studies have reported microplastic pollution in the digestive system of Caspian Sea fish species, but there is no research on sturgeon species, nor on fish gills. We investigated the occurrence of microplastics in the gastrointestinal tract (GIT) and gills of 62 specimens belonging to four species including three teleosts (Cyprinus carpio, Rutilus kutum, and Chelon aurata) and one sturgeon (Acipenser persicus, a valuable endangered species) from the Caspian Sea between January and March 2022. Fish tissues were removed, exposed for 24 h to 10% KOH, and then dried on filter paper. Particles were observed under a stereomicroscope and analyzed by Raman microspectrometry, scanning electron microscopy, and energy-dispersive spectroscopy. A total of 91 microplastics were detected in the GIT (average of 1.46 ± 1.17 items/individual) and 63 microplastics in the gills (average of 1.01 ± 0.62 items/individual). A significant correlation was not found between the number of microplastics found in both tissues and fish body length, body weight, GIT weight, and gill weight (p &gt; 0.05), except between microplastics isolated from gills and gill weight in C. carpio (rs = 0.707, p = 0.022). The abundance of microplastics in fish followed the order of A. persicus &gt; C. aurata &gt; R. kutum &gt; C. carpio. The microplastics were in the size range of 45 to 5000 µm, with particles of 300 to 1000 µm being the most prevalent; 74.68% of the particles were shaped like fibers, 30.53% were red, and 70.6% were composed of nylon polymer. Environ Toxicol Chem 2023;42:2453–2465. © 2023 SETAC
Abstract
Microplastic pollution was found in the gastrointestinal tract and gills of some commercially important fish species, particularly sturgeon from the Caspian Sea.
Environmental Risks of Pharmaceutical Mixtures in Aquatic Ecosystems: Reflections on a Decade of Research
Authors: Kidd Karen A. , Backhaus Thomas , Brodin Tomas , Inostroza Pedro A. , McCallum Erin S. 
Published: August 2023

Abstract
Pharmaceuticals and personal care products (PPCPs) occur as variable mixtures in surface waters receiving discharges of human and animal wastes. A key question identified a decade ago is how to assess the effects of long-term exposures of these PPCP mixtures on nontarget organisms. We review the recent progress made on assessing the aquatic ecotoxicity of PPCP mixtures—with a focus on active pharmaceutical ingredients—and the challenges and research needs that remain. New knowledge has arisen from the use of whole-mixture testing combined with component-based approaches, and these studies show that mixtures often result in responses that meet the concentration addition model. However, such studies have mainly been done on individual species over shorter time periods, and longer-term, multispecies assessments remain limited. The recent use of targeted and nontargeted gene analyses has improved our understanding of the diverse pathways that are impacted, and there are promising new “read-across” methods that use mammalian data to predict toxicity in wildlife. Risk assessments remain challenging given the paucity of ecotoxicological and exposure data on PPCP mixtures. As such, the assessment of PPCP mixtures in aquatic environments should remain a priority given the potential for additive—as well as nontarget—effects in nontarget organisms. In addition, we need to improve our understanding of which species, life stages, and relevant endpoints are most sensitive to which types of PPCP mixtures and to expand our knowledge of environmental PPCP levels in regions of the globe that have been poorly studied to date. We recommend an increased use of new approach methodologies, in particular “omics,” to advance our understanding of the molecular mechanics of mixture effects. Finally, we call for systematic research on the role of PPCP mixtures in the development of antimicrobial resistance. Environ Toxicol Chem 2024;43:549–558. © 2023 SETAC.
Application of Ion Mobility Spectrometry–Mass Spectrometry for Compositional Characterization and Fingerprinting of a Library of Diverse Crude Oil Samples
Authors: Cordova Alexandra C. , Dodds James N. , Tsai Han-Hsuan D. , Lloyd Dillon T. , Roman-Hubers Alina T. , Wright Fred A. , Chiu Weihsueh A. , McDonald Thomas J. , Zhu Rui , Newman Galen , Rusyn Ivan 
Published: August 2023

Abstract
Exposure characterization of crude oils, especially in time-sensitive circumstances such as spills and disasters, is a well-known analytical chemistry challenge. Gas chromatography–mass spectrometry is commonly used for “fingerprinting” and origin tracing in oil spills; however, this method is both time-consuming and lacks the resolving power to separate co-eluting compounds. Recent advances in methodologies to analyze petroleum substances using high-resolution analytical techniques have demonstrated both improved resolving power and higher throughput. One such method, ion mobility spectrometry–mass spectrometry (IMS–MS), is especially promising because it is both rapid and high-throughput, with the ability to discern among highly homologous hydrocarbon molecules. Previous applications of IMS–MS to crude oil analyses included a limited number of samples and did not provide detailed characterization of chemical constituents. We analyzed a diverse library of 195 crude oil samples using IMS–MS and applied a computational workflow to assign molecular formulas to individual features. The oils were from 12 groups based on geographical and geological origins: non-US (1 group), US onshore (3), and US Gulf of Mexico offshore (8). We hypothesized that information acquired through IMS–MS data would provide a more confident grouping and yield additional fingerprint information. Chemical composition data from IMS–MS was used for unsupervised hierarchical clustering, as well as machine learning–based supervised analysis to predict geographic and source rock categories for each sample; the latter also yielded several novel prospective biomarkers for fingerprinting of crude oils. We found that IMS–MS data have complementary advantages for fingerprinting and characterization of diverse crude oils and that proposed polycyclic aromatic hydrocarbon biomarkers can be used for rapid exposure characterization. Environ Toxicol Chem 2023;42:2336–2349. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Cross‐border insolvency law in India: Are the principles of comity of courts and inherent common law jurisdiction relevant?
Authors: Godwin Andrew , Garg Risham , Goswami Debaranjan 
Published: August 2023

AbstractDeliberations are in the final stages for enacting a cross‐border insolvency law in India based on the UNCITRAL Model Law on Cross Border Insolvency 1997 (‘Model Law’). The cross‐border insolvency regime in India will provide an avenue for recognising foreign insolvency proceedings in India. Although it is a matter of time before India adopts the Model Law, it is important to examine whether there remains an independent basis in addition to the Model Law for recognising and providing assistance to cross‐border insolvency proceedings in India. This is crucial on account of the following reasons: first, the Model Law does not provide that it is the exclusive pathway for foreign creditors to seek remedies under domestic law. The Model Law, as reflected in Article 7, was intended by its drafters to be an additional gateway to those provided under local laws. The proposed Indian law in Article 5 of Draft Part Z of the Insolvency and Bankruptcy Code 2016 also does not depart expressly from this principle. Second, there may be instances where neither the ‘Centre of Main Interests’ nor an establishment of a corporate debtor is situated in India; therefore, assistance and cooperation in respect of such cross‐border insolvency proceeding can only be based on the inherent common law jurisdiction, if available. Third, the cross‐border insolvency framework in India will be premised on the requirement for reciprocity and, therefore, countries that do not meet the reciprocity requirement may find it beneficial if such an independent basis for recognition exists in India. This article argues that foreign representatives should be encouraged to explore the possibility of seeking assistance from the commercial courts in India under the common law principles governing cross‐border insolvency and that the courts in India should be open to this possibility.
Photobiomodulation in diabetic rats: Effects on morphological, pancreatic parameters, and glucose homeostasis
Authors: Pandolfo Isabella Liba , Bonifacio Mirian , Benfato Izabelle Dias , de Almeida Cruz Matheus , Nagaoka Márcia Regina , Carvalho Carolina Prado de França , de Oliveira Camila Aparecida Machado , Renno Ana Cláudia Muniz 
Published: August 2023

AbstractPhotobiomodulation (PBM) has therapeutic effects on wound healing, diabetic microangiopathy, and retinopathy. However, little is known about the use of PBM for the treatment of diabetes mellitus (DM). In this context, we aimed to evaluate the effects of PBM on pancreas morphology and insulin and glucose tolerance in an experimental model of DM. Thus, DM was induced by streptozotocin (STZ) (60 mg/kg). Subsequently, the rats were treated with PBM (808 nm and 30 J/cm2). After euthanasia, morphometric parameters and immunoreactivity for insulin and 8‐OHdG were evaluated in the pancreas. The results showed that treated animals had higher values of body mass and higher values in the number of beta cells in the pancreas. In conclusion, PBM resulted in decreased weight loss in STZ‐induced diabetic rats and presented a stimulatory effect on the pancreas of the treated animals, highlighting the promising effects of this therapy in the clinical condition of DM.
A network perspective on real‐life threat, anxiety, and avoidance
Authors: Glück Valentina M. , Engelke Paula , Hilger Kirsten , Wong Alex H. K. , Boschet Juliane M. , Pittig Andre 
Published: August 2023

AbstractBackgroundAnxiety, approach, and avoidance motivation crucially influence mental and physical health, especially when environments are stressful. The interplay between anxiety and behavioral motivation is modulated by multiple individual factors. This proof‐of‐concept study applies graph‐theoretical network analysis to explore complex associations between self‐reported trait anxiety, approach and avoidance motivation, situational anxiety, stress symptoms, perceived threat, perceived positive consequences of approach, and self‐reported avoidance behavior in real‐life threat situations.MethodsA total of 436 participants who were matched on age and gender (218 psychotherapy patients, 218 online‐recruited nonpatients) completed an online survey assessing these factors in response to the COVID‐19 pandemic.Results and DiscussionThe resulting cross‐sectional psychological network revealed a complex pattern with multiple positive (e.g., between trait anxiety, avoidance motivation, and avoidance behavior) and negative associations (e.g., between approach and avoidance motivation). The patient and online subsample networks did not differ significantly, however, descriptive differences may inform future research.
Three year outcomes in infants with a family history of autism and/or attention deficit hyperactivity disorder
Authors: Charman Tony , Pasco Greg , Hendry Alexandra , Bazelmans Tessel , Narvekar Nisha , Goodwin Amy , Halkola Hanna , Agyapong Mary , Holman Rebecca , Ali Jannath Begum , Ersoy Mutluhan , Johnson Mark H. , Pickles Andrew , Jones Emily J. H. ,   The STAARS Team
Published: August 2023

AbstractBackgroundMost research on early outcomes in infants with a family history (FH) of autism has focussed on categorically defined autism, although some have language and developmental delays. Less is known about outcomes in infants with a FH of attention deficit hyperactivity disorder (ADHD).MethodsInfants with and without a FH of autism and/or ADHD, due to a first‐degree relative with either or both conditions, were recruited at 5 or 10 months. Three year outcomes were characterised using latent profile analysis (LPA) across measures of cognitive ability, adaptive functioning and autism, ADHD and anxiety traits (n = 131). We additionally ran an LPA using only autism and ADHD measures, and the broader LPA in an independent cohort (n = 139) and in both cohorts combined (n = 270).ResultsA Low Developmental Level + High Behavioural Concerns class had elevated autism, ADHD and anxiety scores, low cognitive and adaptive function, and included all but one child with autism. A Low Developmental Level + Typical Behaviour class had average cognitive ability and typical behaviour but low adaptive function. A Typical Developmental Level + Some Behavioural Concerns class had average cognitive and adaptive function but slightly elevated behaviour scores. A High Developmental Level + Typical Behaviour class had above average cognitive ability and typical behaviour. All four LPAs identified classes characterised by combinations of either, or both, Low Development Level and elevated behaviour scores, as well as a typically developing class. No classes had elevated autism or ADHD traits in isolation.ConclusionsSome infants with a FH of autism or ADHD have atypical developmental and behavioural outcomes, but do not show strong autism or ADHD traits in isolation. The field needs to recalibrate aims and methods to embrace the broader transdiagnostic pattern of outcomes seen in these infants.
A comparison of online and face‐to‐face modalities in endodontic preclinical education: A retrospective study
Authors: Tunc Fatma , Yılmaz Melis 
Published: August 2023

AbstractPurposeThe aim of this study was to evaluate the competency of undergraduate students in following the principles of access cavity preparation and the radiographic quality of root canal filling in maxillary molar teeth in either online or face‐to‐face education courses during the novel coronavirus disease 2019 (COVID‐19) pandemic.MethodsA total of 178 extracted maxillary molar teeth that underwent endodontic dental treatment by undergraduate students who completed the endodontic preclinical practice course online or face‐to‐face during the COVID‐19 pandemic were retrospectively analyzed. A visual access cavity examination determined the form, width of the cavity, deroofing of the pulp chamber, and the presence of a perforation. Root canal fillings were examined radiographically on periapical radiographs for length, homogeneity, taper, and the presence of iatrogenic defects. Statistical analysis was performed using the chi‐square test.ResultsThe incidence of incorrect form, wide cavities, and perforation was statistically higher in the online group than in the face‐to‐face group (p < 0.05). It was determined that root filling length and homogeneity were more successful in the face‐to‐face group (p < 0.05). When evaluated for iatrogenic errors, the presence of broken instruments was found to be significantly higher in the online group (p < 0.05). There was no significant difference between the groups in other iatrogenic errors and the taper of the root canal filling (p > 0.05).ConclusionThe students who underwent face‐to‐face education were more successful in accessing cavity preparation and root canal fillings than the students who undertook online education.
Incorporating telehealth education into the genetic counseling curriculum
Authors: Cacioppo Cara N. , Kessler Lisa Jay , Valverde Kathleen D. 
Published: August 2023

AbstractAs the provision of telehealth genetic counseling (THGC) services continues to expand, it is imperative that genetic counseling students gain proficiency in telehealth service delivery. To prepare students to provide THGC services, the MSGC program at the University of Pennsylvania has included didactic sessions on THGC, THGC role plays, THGC standardized patient sessions, and THGC fieldwork experiences and clinical rotations. This article highlights best practices in THGC and guidance for Master of Science in Genetic Counseling (MSGC) programs training the next generation of genetic counselors providing THGC services.
High‐resolution stimulated Raman spectroscopy of low‐frequency rotational transitions: Obtention of collisional broadening coefficients in the rotational S branch of CO perturbed by H2
Authors: Paredes‐Roibás Denís , Martínez Raúl Z. 
Published: August 2023

AbstractWe demonstrate the application of high‐resolution quasi‐continuous (q‐cw) stimulated Raman spectroscopy (SRS) to the study of low‐frequency, pure rotational transitions of molecules in diluted samples in order to obtain collisional information. The main problems encountered in the few pioneering q‐cw SRS rotational works, namely weak signals because of the small population differences between the upper and lower states of the transitions and the presence of alternating current (AC) Stark effect, have been addressed: technical improvements in the optical elements that perform the beam mixing, separation, and filtering have allowed us to use a collinear beam geometry and a triple pass configuration to enhance the Raman signals. The distortions in the line profiles caused by AC Stark effect have been measured and included in the numerical treatment of the spectra. With these extended capabilities, we have been able to register stimulated Raman transitions with wavenumbers as low as ∼ 11.5 cm−1, corresponding to the S(0) pure rotational transition of the molecule of CO. We have applied the setup to the study of collisional broadening of CO rotational lines perturbed by H2 and have obtained broadening coefficients for lines from S(0) to S(20) at 77, 180, and 298 K. A comparison between these anisotropic coefficients and those obtained from IR rovibrational experiments shows excellent agreement. This is, to our knowledge, the first demonstration of the use of rotational SRS for the obtention of collisional information in diluted gas samples.
Combining meta‐analysis with multiple imputation for one‐step, privacy‐protecting estimation of causal treatment effects in multi‐site studies
Authors: Shu Di , Li Xiaojuan , Her Qoua , Wong Jenna , Li Dongdong , Wang Rui , Toh Sengwee 
Published: August 2023

AbstractMissing data complicates statistical analyses in multi‐site studies, especially when it is not feasible to centrally pool individual‐level data across sites. We combined meta‐analysis with within‐site multiple imputation for one‐step estimation of the average causal effect (ACE) of a target population comprised of all individuals from all data‐contributing sites within a multi‐site distributed data network, without the need for sharing individual‐level data to handle missing data. We considered two orders of combination and three choices of weights for meta‐analysis, resulting in six approaches. The first three approaches, denoted as RR + metaF, RR + metaR and RR + std, first combined results from imputed data sets within each site using Rubin's rules and then meta‐analyzed the combined results across sites using fixed‐effect, random‐effects and sample‐standardization weights, respectively. The last three approaches, denoted as metaF + RR, metaR + RR and std + RR, first meta‐analyzed results across sites separately for each imputation and then combined the meta‐analysis results using Rubin's rules. Simulation results confirmed very good performance of RR + std and std + RR under various missing completely at random and missing at random settings. A direct application of the inverse‐variance weighted meta‐analysis based on site‐specific ACEs can lead to biased results for the targeted network‐wide ACE in the presence of treatment effect heterogeneity by site, demonstrating the need to clearly specify the target population and estimand and properly account for potential site heterogeneity in meta‐analyses seeking to draw causal interpretations. An illustration using a large administrative claims database is presented.
Emerging Technology of Nanofiber‐Composite Hydrogels for Biomedical Applications
Authors: Choi Cholong , Yun Eunhye , Cha Chaenyung 
Published: August 2023

AbstractHydrogels and nanofibers have been firmly established as go‐to materials for various biomedical applications. They have been mostly utilized separately, rarely together, because of their distinctive attributes and shortcomings. However, the potential benefits of integrating nanofibers with hydrogels to synergistically combine their functionalities while attenuating their drawbacks are increasingly recognized. Compared to other nanocomposite materials, incorporating nanofibers into hydrogel has the distinct advantage of emulating the hierarchical structure of natural extracellular environment needed for cell and tissue culture. The most important technological aspect of developing “nanofiber‐composite hydrogel” is generating nanofibers made of various polymers that are cross‐linked and short enough to maintain stable dispersion in hydrated environment. In this review, recent research efforts to develop nanofiber‐composite hydrogels are presented, with added emphasis on nanofiber processing techniques. Several notable examples of implementing nanofiber‐composite hydrogels for biomedical applications are also introduced.