bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inefficacy of dietary test substance administration in Amphibian Metamorphosis Assay (AMA) studies
Authors: Fort Douglas J. , Wolf Jeffrey C. , Langsch Angelika , Fast Beate , Junker Markus , Otter Rainer 
Published: December 2023

AbstractTraditionally, the Amphibian Metamorphosis Assay (AMA; OECD TG 231) is performed by exposing Xenopus laevis tadpoles to test substances dissolved in laboratory water. Recently, the use of dietary administration has been proposed to combat poorly soluble test substances in ecotoxicologically‐based regulatory endocrine disruption (ED) studies, specifically the AMA warranting an investigation into the efficacy of dietary administration. An efficacy study comprised of two phases: 1) evaluation of the physical influence of the loading process via solvent and 10, 1, and 0.1 mg/l test substance or surrogate (sunflower oil, SFO) on the Sera® Micron Nature (SMN) diet, and 2) performance of a modified AMA in which Nieuwkoop and Faber (NF) stage 51 X. laevis larvae were exposed to dechlorinated tap water using one concentration of the SFO in the diet for 21 days, was performed. In phase 1, the addition of acetone or acetone with bis(2‐propylheptyl) phthalate (DPHP) or SFO to SMN with subsequent solvent purge altered the diet reducing the density of the liquified diet and dietary pellet size following centrifugation indicative of alteration of the physical properties of the diet. Treatments used in the modified AMA were acetone alone and 0.1 mg/l SFO dissolved in acetone. These treatments were evaluated against an SMN benchmark using standard AMA endpoints. Both the acetone‐treated SMN and 0.1 mg/l SFO‐treated diets significantly reduced survival rates, 67 and 70% relative to the SMN benchmark (100%), decreased developmental stage distribution and snout‐vent length‐normalized hind limb length relative to the SMN benchmark, and slightly increased the prevalence and severity of thyroid follicular cell hypertrophy. Although the acetone‐treated diets may have impacted the hypothalamo‐pituitary‐thyroid axis, clinical signs of gastrointestinal impaction and tail flexure were also observed in the acetone‐treated diets, but not the SMN diet alone. Ultimately, test substance exposure via the diet in an AMA study can produce results that may confound data interpretation, which suggests that the traditional aqueous exposure route is generally more appropriate.
Design of TiO2/ZIF‐8 heterojunction with enhanced visible‐light photocatalytic activity under mild conditions
Authors: Zhong Wan‐Ling , Ma Bin‐Bin , Han Jian , Chen Liang‐Yu , Jing‐Jing Sun , Zhang Gang‐Sheng , Lei Cai‐Xia 
Published: December 2023

AbstractThe development of new composite materials is of great significance to improve the photocatalytic degradation efficiency. In this article, the TiO2/ZIF‐8 composite materials (TZCM) have been designed via the combination of hydrothermal‐assisted liquid phase deposition and the simple coprecipitation method. The experimental results indicate that the TiO2 and ZIF‐8 nanoparticles can be tightly bonded together by chemical bonds. Moreover, the TZCM also exhibit a significantly increased specific surface area and a reduced band gap width, which would provide more active sites and realize the visible‐light response during the photocatalytic process. The photodegradation rate and the corresponding first‐order reaction rate of methylene blue within 24 min by TiO2/ZIF‐8 composite material (e.g., sample TZCM‐3) is 93.36% and 0.1376 min−1, which is 31 times and 17 times that of pristine TiO2 and ZIF‐8, respectively. According to the photoelectrochemical experiments, the separation efficiency of photogenerated electrons and holes in TZCM sample during the photocatalytic process could be significantly enhanced.
An analysis of the relationship between rental housing and adoption of self‐generating energy sources in Brazil using matching methodology
Authors: Marques Maria Laura Victória , Uhr Daniel de Abreu Pereira , Benevit Bruno , Uhr Júlia Gallego Ziero 
Published: December 2023

AbstractWe examine the effect of household tenure choice on adopting self‐generation energy technologies in Brazil. We employ microdata from the Household Budget Survey (POF) dataset for 2017 and 2018 from the Brazilian Institute of Geography and Statistics (IBGE) and matching methodology to evaluate various hypotheses regarding occupancy status, credit availability, purchasing power and life cycle theory. We also use placebo treatments, propensity score weighting, entropy balancing and Rosenbaum's sensitivity analysis to evaluate the robustness of our findings. Results show that leasing a residence negatively and significantly affects families' adoption of self‐generating technologies with an estimated probability reduction of around 62%, with greater effects when considering credit, wages and life cycle.
Association of Pathological Features and Multiparametric MRI‐Based Radiomics With TP53‐Mutated Prostate Cancer
Authors: Chen Ruchuan , Zhou Bingni , Liu Wei , Gan Hualei , Liu Xiaohang , Zhou Liangping 
Published: December 2023

BackgroundTP53 mutations are associated with prostate cancer (PCa) prognosis and therapy.PurposeTo develop TP53 mutation classification models for PCa using MRI radiomics and clinicopathological features.Study TypeRetrospective.Population388 patients with PCa from two centers (Center 1: 281 patients; Center 2: 107 patients). Cases from Center 1 were randomly divided into training and internal validation sets (7:3). Cases from Center 2 were used for external validation.Field Strength/Sequence3.0T/T2‐weighted imaging, dynamic contrast‐enhanced imaging, diffusion‐weighted imaging.AssessmentEach patient's index tumor lesion was manually delineated on the above MRI images. Five clinicopathological and 428 radiomics features were obtained from each lesion. Radiomics features were selected by least absolute shrinkage and selection operator and binary logistic regression (LR) analysis, while clinicopathological features were selected using Mann–Whitney U test. Radiomics models were constructed using LR, support vector machine (SVM), and random forest (RF) classifiers. Clinicopathological‐radiomics combined models were constructed using the selected radiomics and clinicopathological features with the aforementioned classifiers.Statistical TestsMann–Whitney U test. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC). P value <0.05 indicates statistically significant.ResultsIn the internal validation set, the radiomics model had an AUC of 0.74 with the RF classifier, which was significantly higher than LR (AUC = 0.61), but similar to SVM (AUC = 0.69; P = 0.422). For the combined model, the AUC of RF model was 0.84, which was significantly higher than LR (0.64), but similar to SVM (0.80; P = 0.548). Both the combined RF and combined SVM models showed significantly higher AUCs than the radiomics models. In the external validation set, the combined RF and combined SVM models showed AUCs of 0.83 and 0.82.Data ConclusionPathological‐radiomics combined models with RF, SVM show the association of TP53 mutations and pathological‐radiomics features of PCa.Evidence Level3Technical EfficacyStage 2
Effects of systematic predictor selection for statistical downscaling of rainfall in Hawai'i
Authors: Sanfilippo Kristen , Timm Oliver Elison , Frazier Abby G. , Giambelluca Thomas W. 
Published: December 2023

AbstractWhile there has been rapid advancement in the development and application of statistical downscaling methods for climate projection, determining the best predictive large‐scale climate information for the targeted local climate variable remains a challenge. The choice of predictor variables is one of the most influential steps of model development and has the potential to lead to varying results, contributing to the total uncertainty of future projections. Despite being a well‐known problem, predictor selection often does not receive adequate attention and the development of a straightforward and feasible prescreening process is needed to provide guidance to simple (e.g., linear regression) and complex (e.g., machine learning) modeling tools alike. In this project, Akaike information criterion (AIC) and leave one out cross validation are used to evaluate sets of predictor variables common in statistical downscaling models of precipitation (e.g., temperature, geopotential height, moisture transport). Because thousands of predictor sets were found to be competitive in their statistical skill in projecting rainfall, results suggest that an ensemble of predictor sets should be used to account for the resulting variance associated with predictor selection. This ensemble approach is applied to make improvements to the most recent statistical downscaling model developed for rainfall projection in Hawai'i. An ensemble validation study is performed by projecting future wet season rainfall in Hawai'i for scenario RCP4.5 using 17 CMIP5 GCMs with ensembles of highly ranked and poorly ranked predictor sets. Results show significantly less variance and improved agreement in the projected sign of precipitation change for the highly ranked predictor set ensemble. In conclusion, it is recommended that statistical downscaling models are run in an ensemble‐mode with multiple combinations of predictors instead of using a single model, allowing for additional quantification of model uncertainty and a “safety net” for when the true physically best‐suited predictor set is unknown.
Impact of preoperative clinical state on 2‐year clinical outcomes following degenerative lumbar scoliosis surgery
Authors: Yuan Lei , Liu Yinhao , Zeng Yan , Chen Zhongqiang , Li Weishi 
Published: December 2023

AbstractTo assess the preoperative clinical state's impact on clinical outcomes after surgery for degenerative lumbar scoliosis (DLS) based on the minimal clinically important difference (MCID). Preoperative and follow‐up (FU) scores in each Scoliosis Research Society‐22 (SRS‐22) domain were compared with age‐ and sex‐matched normative references. At baseline, patients were classified by differences from normative values in four groups: Worst, Severe, Poor, and Moderate. At 2 years postoperative FU, patients were divided into four groups (Worst Severe Poor Asymptomatic) based on the difference in MCID between postoperative and normal values. The changes in MCID were considered as the criterion for surgical efficacy. In addition, we calculated the classification of preoperative and FU clinical symptom severity in each domain in same patient. The distinction among curve types was also performed based on the SRS‐Schwab classification. A total of 123 patients were included. During FU, patients with more severe preoperative clinical symptoms were more likely to achieve clinical changes (>1 MCID, p < 0.05), but the rate of reaching “asymptomatic” was lower (p < 0.05). Kendall's tau‐b correlation analysis found that preoperative clinical severity was correlated with clinical changes category in Activity (Tau‐b = 0.252; p = 0.002), Pain (Tau‐b = 0.230; p = 0.005), Appearance (Tau‐b = 0.307; p < 0.001), and Mental (Tau‐b = 0.199; p = 0.016), and it also was correlated with FU clinical severity in Activity (Tau‐b = 0.173; p = 0.023), Pain (Tau‐b = 0.280; p < 0.001), and Mental (Tau‐b = 0.349; p < 0.001). There was a correlation between preoperative clinical severity and FU SRS‐22 score outcomes. Patients with severe preoperative clinical symptoms can experience better treatment outcomes during FU, but it is also more difficult to recover to the normal reference.
Impact of autotransfusion on recurrence of colorectal cancer liver metastasis: Long‐term follow‐up of patients undergoing curative intent hepatectomy
Authors: Wehrle Chase J. , Perlmutter Breanna , Hong Hanna , Chang Jenny , Stackhouse Kathryn A. , Naples Rob , Shanaz Hossain M. , Joyce Daniel , Simon Robert , Kim Jaekeun , Naffouje Samer A. , Aucejo Federico , Kwon David C. H. , Walsh R. Matthew , Augustin Toms 
Published: December 2023

AbstractIntroductionColorectal cancer liver metastasis (CRLM) occurs in upto 50% of cases and drives patient outcomes. Up‐front liver resection is the treatment of choice in resectable cases. There is no consensus yet established as to the safety of intraoperative autotransfusion in liver resection for CRLM.MethodsPatients undergoing curative‐intent hepatectomy for CRLM at a single quaternary‐care institution from 1999 to 2016 were included. Demographics, surgical variables, Fong Clinical Risk Score (FCRS), use of intraoperative auto and/or allotransfusion, and survival data were analyzed. Propensity score matching (PSM) was performed accounting for allotransfusion, extent of hepatectomy, FCRS, and systemic treatment regimens.ResultsThree‐hundred sixteen patients were included. The median follow‐up was 10.4 years (7.8–14.1 years). The median recurrence‐free survival (RFS) and overall survival (OS) in all patients were 1.6 years (interquartile range: 0.63–6.6 years) and 4.4 years (2.1–8.7), respectively. Before PSM, there was a significantly reduced RFS in the autotransfusion group (0.96 vs. 1.73 years, p = 0.20). There was no difference in OS (4.11 vs. 4.44 years, p = 0.118). Patients in groups of FCRS 0–2 and 3–5 both had reduced RFS when autotransfusion was used (p = 0.005). This reduction in RFS was further found when comparing autotransfusion versus no autotransfusion within the FCRS 0–2 group and within the FCRS 3–5 group (p = 0.027). On Cox‐regression analysis, autotransfusion (hazard ratio = 1.423, 1.028–2.182, p = 0.015) remained predictive of RFS. After PSM, there were no differences in FCRS (p = 0.601), preoperative hemoglobin (p = 0.880), allotransfusion (p = 0.130), adjuvant chemotherapy (p = 1.000), immunotherapy (p = 0.172), tumor grade (p = 1.000), use of platinum‐based chemotherapy (p = 0.548), or type of hepatic resection (p = 0.967). After matching, there was a higher rate of recurrence with autotransfusion (69.0% vs. 47.6%, p = 0.046). There was also a reduced time to recurrence in the autotransfusion group compared with the group without (p = 0.006). There was no difference in OS after PSM (p = 0.262).ConclusionAutotransfusion may adversely affect recurrence in liver resection for CRLM. Until further studies clarify this risk profile, the use of intraoperative autotransfusion should be critically assessed on a case‐by‐case basis only when other resuscitation options are not available.
Experimental investigation and optimization of morphological characteristics in mechanically agitated aluminium 6061‐fly ash cenosphere composite
Authors: Anand A. , Tiwari S. K. , Prakash V. 
Published: December 2023

AbstractThe current work examines the results of an experimental study for the liquid casting of an aluminum‐6061‐5 weight % fly ash cenosphere composite by employing stir casting. The studies were conducted using the response surface methodology (central composite design L16 experiments) with three process factors (stirring temperature, stirring speed, and stirring time) at three different levels. An attempt has been made to determine the impact of process variables on the degree of sphericity and particle size. The optimal processing conditions for the best degree of sphericity (0.765) and particle size (93.227 μm) are identified as A−1, B+1, and C+1, corresponding to a stirring temperature of 670 °C, a stirring speed of 600 min−1, and 15 min stirring time. Based on the analysis of variance analysis, the degree of sphericity and particle size evolution is significantly influenced by stirring time followed by temperature and speed. Additionally, a mathematical model for the evaluation of the degree of sphericity and particle size in the primary‐aluminium phase has been developed and it shows good consensus with the experiments.
The role of mitochondrial dynamics in disease
Authors: Wang Yujuan , Dai Xinyan , Li Hui , Jiang Huiling , Zhou Junfu , Zhang Shiying , Guo Jiacheng , Shen Lidu , Yang Huantao , Lin Jie , Yan Hengxiu 
Published: December 2023

AbstractMitochondria are multifaceted and dynamic organelles regulating various important cellular processes from signal transduction to determining cell fate. As dynamic properties of mitochondria, fusion and fission accompanied with mitophagy, undergo constant changes in number and morphology to sustain mitochondrial homeostasis in response to cell context changes. Thus, the dysregulation of mitochondrial dynamics and mitophagy is unsurprisingly related with various diseases, but the unclear underlying mechanism hinders their clinical application. In this review, we summarize the recent developments in the molecular mechanism of mitochondrial dynamics and mitophagy, particularly the different roles of key components in mitochondrial dynamics in different context. We also summarize the roles of mitochondrial dynamics and target treatment in diseases related to the cardiovascular system, nervous system, respiratory system, and tumor cell metabolism demanding high‐energy. In these diseases, it is common that excessive mitochondrial fission is dominant and accompanied by impaired fusion and mitophagy. But there have been many conflicting findings about them recently, which are specifically highlighted in this view. We look forward that these findings will help broaden our understanding of the roles of the mitochondrial dynamics in diseases and will be beneficial to the discovery of novel selective therapeutic targets.
Cancer stem cells: Signaling pathways and therapeutic targeting
Authors: Talukdar Joyeeta , Srivastava Tryambak P. , Sahoo Om S. , Karmakar Abhibroto , Rai Avdhesh K. , Sarma Anupam , Gogoi Gayatri , Alqahtani Mohammed S. , Abbas Mohamed , Dhar Ruby , Karmakar Subhradip 
Published: December 2023

AbstractCancer stem cells (CSCs) constitute a minority cell population characterized by unbounded proliferative potential in both solid and hematological cancers. Despite sharing key stem cell attributes, CSCs possess unique traits, including the initiation and propagation of tumors and resistance to conventional therapies. The purpose of this review is to delve into the origins and fundamental characteristics of CSCs, emphasizing their role in tumor growth and metastasis. The focus extends to unraveling cellular signaling pathways driving oncogenic processes and understanding aberrant cellular crosstalk crucial for targeted cancer therapies. Beginning with an exploration of CSC properties and behavior, we progress to dissecting the cellular signaling network that fuels oncogenic pathways. The discussion spans the inception of CSCs, their survival strategies, and adaptation to new environments. We then transit to recent therapeutic advancements targeting CSCs, culminating in an exploration for precise therapeutic targeting. This review henceforth, underscores the vital significance of comprehending CSCs in cancer progression and treatment resistance. By unraveling the complex signaling pathways and survival mechanisms unique to CSCs, it paves the way for targeted therapeutic strategies that hold immense promise in enhancing cancer treatment efficacy while minimizing collateral damage.
The role of artificial intelligence in electrodiagnostic and neuromuscular medicine:Currentstate and future directions
Authors: Taha Mohamed A. , Morren John A. 
Published: December 2023

AbstractThe rapid advancements in artificial intelligence (AI), including machine learning (ML), and deep learning (DL) have ushered in a new era of technological breakthroughs in healthcare. These technologies are revolutionizing the way we utilize medical data, enabling improved disease classification, more precise diagnoses, better treatment selection, therapeutic monitoring, and highly accurate prognostication. Different ML and DL models have been used to distinguish between electromyography signals in normal individuals and those with amyotrophic lateral sclerosis and myopathy, with accuracy ranging from 67% to 99.5%. DL models have also been successfully applied in neuromuscular ultrasound, with the use of segmentation techniques achieving diagnostic accuracy of at least 90% for nerve entrapment disorders, and 87% for inflammatory myopathies. Other successful AI applications include prediction of treatment response, and prognostication including prediction of intensive care unit admissions for patients with myasthenia gravis. Despite these remarkable strides, significant knowledge, attitude, and practice gaps persist, including within the field of electrodiagnostic and neuromuscular medicine. In this narrative review, we highlight the fundamental principles of AI and draw parallels with the intricacies of human brain networks. Specifically, we explore the immense potential that AI holds for applications in electrodiagnostic studies, neuromuscular ultrasound, and other aspects of neuromuscular medicine. While there are exciting possibilities for the future, it is essential to acknowledge and understand the limitations of AI and take proactive steps to mitigate these challenges. This collective endeavor holds immense potential for the advancement of healthcare through the strategic and responsible integration of AI technologies.
Effects of posterior tibial nerve stimulation (PTNS) on lower urinary tract dysfunction: An umbrella review
Authors: Tahmasbi Fateme , Salehi‐Pourmehr Hanieh , Naseri Amirreza , Ghaderi Salar , Javadi‐Farid Fatemeh , Hajebrahimi Sakineh , Sedigh Omid , Soleimanzadeh Farzin 
Published: December 2023

AbstractBackgroundLower urinary tract dysfunction (LUTD) is a common, troublesome condition that often negatively affects patients' quality of life. Current literature has long been interested in how posterior tibial nerve stimulation (PTNS) can affect this condition.AimTo extensively and systematically explore how PTNS affects LUTD based on the most recent systematic reviews.MethodsA systematic search was conducted in PubMed, Scopus, Web of Science, and Embase according to Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines. All the systematic reviews, with or without meta‐analysis that assessed the effects of PTNS on LUTD were retrieved. The quality of the included studies was assessed using the Joanna Briggs Institute tool, and analysis was conducted using the Comprehensive Meta‐Analysis version 3 tool.ResultsFrom a total of 3077 citations, 20 systematic reviews entered this study, and 13 of them included meta‐analysis. The population of studies varied vastly, for instance, some studies included only children or women while other focused on a specific pathology like multiple sclerosis‐induced neurogenic LUTD. The majority of included studies reported an overall improvement in LUTD following percutaneous PTNS, although admitting that these results were derived from moderate to low‐quality evidence.ConclusionThe findings of this thorough umbrella review showed that the positive benefits of PTNS in treating LUTD are currently supported by low‐quality evidence, and it is crucial to interpret them with great care.