bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of post‐exercise affect: A self‐determination theory approach considering physical, social, and psychological factors
Authors: White Rhiannon Lee , Cocker Katrien De , Merom Dafna 
Published: August 2024

AbstractBackgroundStudies have shown increases in affect after acute exercise. However, the specific aspects of an exercise experience that predict or contribute to post‐exercise affect remain relatively unknown. This study aimed to determine which physical (i.e., duration and intensity), contextual (i.e., social context and time of day), and psychological factors (i.e., motivation and need satisfaction) predicted post‐exercise affect.MethodsIn 2021, 296 gym users self‐reported affect before and immediately after exercising at a gym facility. Participants also reported situational motivation towards exercise, need satisfaction (i.e., autonomy, competence, and relatedness), who they exercised with (social interaction), and the duration and perceived intensity of their exercise session. We first conducted a paired samples t‐test to identify whether affect significantly increased from before to after exercise, and then a hierarchical regression model to determine which factors predicted post‐exercise affect.ResultsAffect significantly increased from before to after exercise (t[291] = 8.116, p < .001). Autonomous motivation (β = .23, p = <.001), autonomy satisfaction (β = .15, p = <.05), and relatedness satisfaction (β = .19, p = <.01) significantly predicted post‐exercise affect, whereas duration, perceived intensity, social interaction, and time of day did not.ConclusionsPeople should be encouraged to engage in activities that satisfy their need for autonomy and relatedness during leisure‐time (i.e., not during the workday).So What?This approach to physical activity promotion may lead to better affective outcomes and increased adherence compared to focusing on how long, how intense, or with whom people exercise.
Assessment of dynamic hydrological drought risk from a non‐stationary perspective
Authors: Chen Chen , Peng Tao , Singh Vijay P. , Wang Youxin , Zhang Te , Dong Xiaohua , Lin Qingxia , Guo Jiali , Liu Ji , Fan Tianyi , Wang Gaoxu 
Published: August 2024

AbstractThe stationarity hypothesis of hydrometeorological elements has been questioned in the context of global warming and intense human disturbance. The conventional drought index and methods of frequency analysis may no longer be applicable for hydrological drought risk evaluation under a changing environment. In this study, a new dynamic hydrological drought risk evaluation framework is proposed for application to the Hanjiang River basin (HRB), which simultaneously considers the non‐stationarity in the construction of drought index as well as in the frequency analysis. First, a non‐stationary standardized runoff index (NSRI) is developed using a generalized additive model for location, scale and shape (GAMLSS) framework. Then, hydrological drought characteristics including duration and severity are identified, and their marginal distributions are established. Finally, based on the dynamic copula, considering the non‐stationarity of the dependence structure, the dynamic joint probability distribution, conditional probability distribution and return period of the bivariate hydrological drought properties are analysed. Results showed that NSRI, which integrates the impacts of climate change and anthropogenic activities on the non‐stationarity of runoff series, had a better ability to capture runoff extremes than had SRI. In addition, it is indispensable to consider the non‐stationarity of the dependence structure between variables when discussing the multivariate joint risk of hydrological drought. The risk of hydrological drought in the study area has shown an increasing trend in the past 65 years, and the drought conditions from upstream to downstream have been alleviated first and then intensified. This study provides valuable information for regional drought risk estimation and water resources management from a non‐stationary perspective.
Development of a spontaneous preterm birth predictive model using a panel of serum protein biomarkers for early pregnant women: A nested case–control study
Authors: Liang Shuang , Chen Yuling , Jia Tingting , Chang Ying , Li Wen , Piao Yongjun , Chen Xu 
Published: August 2024

AbstractObjectiveTo develop a model based on maternal serum liquid chromatography tandem mass spectrometry (LC–MS/MS) proteins to predict spontaneous preterm birth (sPTB).MethodsThis nested case–control study used the data from a cohort of 2053 women in China from July 1, 2018, to January 31, 2019. In total, 110 singleton pregnancies at 11–13+6 weeks of pregnancy were used for model development and internal validation. A total of 72 pregnancies at 20–32 weeks from an additional cohort of 2167 women were used to evaluate the scalability of the model. Maternal serum samples were analyzed by LC–MS/MS, and a predictive model was developed using machine learning algorithms.ResultsA novel predictive panel with four proteins, including soluble fms‐like tyrosine kinase‐1, matrix metalloproteinase 8, ceruloplasmin, and sex‐hormone‐binding globulin, was developed. The optimal model of logistic regression had an AUC of 0.934, with additional prediction of sPTB in second and third trimester (AUC = 0.868).ConclusionFirst‐trimester modeling based on maternal serum LC–MS/MS identifies pregnant women at risk of sPTB, which may provide utility in identifying women at risk at an early stage of pregnancy before clinical presentation to allow for earlier intervention.
Smartphone App to Detect Pathological Myopia Using Spatial Attention and Squeeze‐Excitation Network as a Classifier and Segmentation Encoder
Authors: Ali Sarvat , Raut Shital 
Published: August 2024

ABSTRACTPathological myopia (PM) is a worldwide visual health concern that can cause irreversible vision impairment. It affects up to 20 crore population, causing social and economic burdens. Initial screening of PM using computer‐aided diagnosis (CAD) can prevent loss of time and finances for intricate treatments later on. Current research works utilizes complex models that are too resource‐intensive or lack explanations behind the categorizations. To emphasize the significance of artificial intelligence for the ophthalmic usage and address the limitations of the current studies, we have designed a mobile‐compatible application for smartphone users to detect PM. For this purpose, we have developed a lightweight model, using the enhanced MobileNetV3 architecture integrated with spatial attention (SA) and squeeze‐excitation (SE) modules to effectively capture lesion location and channel features. To demonstrate its robustness, the model is tested against three heterogeneous datasets namely PALM, RFMID, and ODIR reporting the area under curve (AUC) score of 0.9983, 0.95, and 0.94, respectively. In order to support PM categorization and demonstrate its correlation with the associated lesions, we have segmented different forms of PM lesion atrophy, which gave us intersection over union (IOU) scores of 0.96 and fscore of 0.97 using the same SA+SE inclusive MobileNetV3 as an encoder. This lesion segmentation can aid ophthalmologists in further analysis and treatment. The optimized and explainable model version is calibrated to develop the smartphone application, which can identify fundus image as PM or normal vision. This app is appropriate for ophthalmologists seeking second opinions or by rural general practitioners to refer PM cases to specialists.
CAS‐GAN: A Novel Generative Adversarial Network‐Based Architecture for Coronary Artery Segmentation
Authors: Hamdi Rawaa , Kerkeni Asma , Abdallah Asma Ben , Bedoui Mohamed Hedi 
Published: August 2024

ABSTRACTAccurate and automated segmentation of x‐ray coronary angiography (XRCA) is crucial for both diagnosing and treating coronary artery diseases. Despite the outstanding results achieved by deep learning (DL)‐based methods in this area, this task remains challenging due to several factors such as poor image quality, the presence of motion artifacts, and inherent variability in vessel structure sizes. To address this challenge, this paper introduces a novel GAN‐based architecture for coronary artery segmentation using XRCA images. This architecture includes a novel U‐Net variant with two types of self‐attention blocks in the generator segment. An auxiliary path connects the attention block and the prediction block to enhance feature generalization, improving vessel structure delineation, especially thin vessels in low‐contrast regions. In parallel, the discriminator network employs a residual CNN with similar attention blocks for balanced performance and improved predictive capabilities. With a streamlined 6.74 M parameters, the resulting architecture surpasses existing methods in efficiency. We assess its efficacy on three coronary artery datasets: our private “CORONAR,” and the public “DCA1” and “CHUAC” datasets. Empirical results showcase our model's superiority across these datasets, utilizing both original and preprocessed images. Notably, our proposed architecture achieves the highest F1‐score of 0.7972 for the CHUAC dataset, 0.8245 for the DCA1 dataset, and 0.8333 for the CORONAR dataset.
VTCNet: A Feature Fusion DL Model Based on CNN and ViT for the Classification of Cervical Cells
Authors: Li Mingzhe , Que Ningfeng , Zhang Juanhua , Du Pingfang , Dai Yin 
Published: August 2024

ABSTRACTCervical cancer is a common malignancy worldwide with high incidence and mortality rates in underdeveloped countries. The Pap smear test, widely used for early detection of cervical cancer, aims to minimize missed diagnoses, which sometimes results in higher false‐positive rates. To enhance manual screening practices, computer‐aided diagnosis (CAD) systems based on machine learning (ML) and deep learning (DL) for classifying cervical Pap cells have been extensively researched. In our study, we introduced a DL‐based method named VTCNet for the task of cervical cell classification. Our approach combines CNN‐SPPF and ViT components, integrating modules like Focus and SeparableC3, to capture more potential information, extract local and global features, and merge them to enhance classification performance. We evaluated our method on the public SIPaKMeD dataset, achieving accuracies, precision, recall, and F1 scores of 97.16%, 97.22%, 97.19%, and 97.18%, respectively. We also conducted additional experiments on the Herlev dataset, where our results outperformed previous methods. The VTCNet method achieved higher classification accuracy than traditional ML or shallow DL models through this integration. Related codes: https://github.com/Camellia‐0892/VTCNet/tree/main.
Bifunctional self‐segregated electrolyte realizing high‐performance zinc‐iodine batteries
Authors: Hu Xueting , Zhao Zequan , Yang Yongqiang , Zhang Hao , Lai Guojun , Lu Bingan , Zhou Peng , Chen Lina , Zhou Jiang 
Published: August 2024

AbstractStatic rechargeable zinc‐iodine (Zn‐I2) batteries are superior in safety, cost‐effectiveness, and sustainability, giving them great potential for large‐scale energy storage applications. However, the shuttle effect of polyiodides on the cathode and the unstable anode/electrolyte interface hinder the development of Zn‐I2 batteries. Herein, a self‐segregated biphasic electrolyte (SSBE) was proposed to synergistically address those issues. The strong interaction between polyiodides and the organic phase was demonstrated to limit the shuttle effect of polyiodides. Meanwhile, the hybridization of polar organic solvent in the inorganic phase modulated the bonding structure, as well as the effective weakening of water activity, optimizing the interface during zinc electroplating. As a result, the Zn‐I2 coin cells performed a capacity retention of nearly 100% after 4000 cycles at 2 mA cm−2. And a discharge capacity of 0.6 Ah with no degradation after 180 cycles was achieved in the pouch cell. A photovoltaic energy storage battery was further achieved and displayed a cumulative capacity of 5.85 Ah. The successfully designed energy storage device exhibits the application potential of Zn‐I2 batteries for stationary energy storage.image
In Vivo Activity of Intestinal P‐Glycoprotein and Hepatic Organic Anion Transporters Polypeptide in Pregnancy and Postpartum
Authors: Pego Álef Machado Gomes , Marques Maria Paula , Moreira Fernanda de Lima , Paz Tiago , Tarozzo Maria Martha de Barros , Mattos Rogério Pereira , dos Santos Melli Patrícia Pereira , Duarte Geraldo , Cavalli Ricardo Carvalho , Lanchote Vera Lucia 
Published: August 2024

AbstractThis study investigates the influence of pregnancy on the in vivo activity of the intestinal P‐glycoprotein (P‐gp) and hepatic organic anion transporters polypeptide (OATP/BCRP) using, respectively, fexofenadine and rosuvastatin as probe drugs. Eleven healthy participants were investigated during the third trimester of pregnancy (Phase 1, 28 to 38 weeks of gestation) and in the postpartum period (Phase 2, 8 to 12 weeks postpartum). In both phases, after administration of a single oral dose of fexofenadine (60 mg) and rosuvastatin (5 mg), serial blood samples were collected for up to 24 h. Rosuvastatin and fexofenadine in plasma were analyzed by LC‐MS/MS using previously validated methods. The pharmacokinetic parameters of fexofenadine and rosuvastatin (Phoenix WinNonLin software) with normal distribution (Shapiro–Wilk test) are presented as geometric mean and 90% confidence interval. Phases 1 and 2 were compared using the t test (P < .05). Fexofexadine AUC0‐24 values do not differ (P‐value: .0715) between Phase 1 (641.9 ng h/mL [500.6‐823.1]) and Phase 2 (823.8 ng h/mL [641.5‐1057.6]) showing that pregnancy (third trimester) does not alter intestinal P‐gp activity. However, rosuvastatin AUC0‐24 values are higher (P‐value: .00005) in Phase 1 (18.7 ng h/mL [13.3‐26.4]) when compared to Phase 2 (9.5 ng h/mL [6.7‐13.4]), suggesting inhibition of OATP1B1/OATP1B3 transporters. In conclusion, pregnancy assessed during the third trimester does not alter the intestinal P‐gp activity but reduces the activity of hepatic OATP1B1/OATP1B3 transporters. Therefore, adjustments in dosage regimens may be necessary for drugs with low therapeutic index, substrates of the OATP1B1/OATP1B3 transporters, administered during the third trimester of pregnancy.
Circadian rhythm dysfunction and clinical heterogeneity in pediatric ADHD: A critical need for innovation in assessment and treatment
Authors: Lunsford‐Avery Jessica R. , Davis J. Lynn , Willoughby Michael T. 
Published: August 2024

AbstractDespite success of pharmacologic and psychosocial treatments, attention‐deficit/hyperactivity disorder (ADHD) frequently results in significant personal impairment and socioeconomic burden. A challenge for the development of effective treatments targeting functional deficits in ADHD is the substantial heterogeneity in clinical features such as comorbidity, executive dysfunction, and cognitive disengagement. In this editorial perspective, we consider circadian dysfunction as a potentially critical mechanism underlying clinical heterogeneity and discuss current barriers to identifying and treating circadian dysfunction in pediatric ADHD. Recent advances in wearable sensors may offer new opportunities to elucidate the underlying role of circadian dysfunction in ADHD heterogeneity and support the development of personalized sleep treatments with the power to improve long‐term educational, interpersonal, and occupational outcomes for children with ADHD.
Induction of male‐like mandibles in XX individuals of a stag beetle by gene knockdown of a feminizer gene transformer
Authors: Gotoh Hiroki , Ohtsu Itsuki , Umino Taichi , Yamasaki Yo Y. , Minakuchi Yohei , Ito Takehiko , Toyoda Atsushi , Kitano Jun 
Published: August 2024

AbstractMales and females share most of the genome, but many animals show different phenotypes between the sexes, known as sexual dimorphism. Many insect species show extreme sexual dimorphism, including beetles with “weapon traits” represented by extremely developed horns and mandibles. Existing studies of sex‐specific development of beetle weapon traits suggest that sex‐specific gene expression plays an important role. On the other hand, contributions of the Y‐chromosome, which may potentially carry genes necessary for male development, to weapon trait expression have not been examined. In holometabolous insects, including beetles, the feminizing gene transformer (tra) is roughly conserved in its feminizing function. Only females express a functional isoform of Tra, which causes female differentiation. Knocking down tra in females leads to male tissue differentiation, enabling us to analyze male phenotypes in individuals lacking a Y‐chromosome (XX‐males). In this study, we investigate whether the Y‐chromosome is necessary for stag beetles to express male‐specific weapon traits by comparing tra‐knockdown‐induced XX‐males with natural XY males. We show that XX‐males could express weapons (enlarged mandibles) as in XY‐males. These results suggest that the Y‐chromosome does not have a major role in weapon trait expression in this species.
Feasibility of intravenous vitamin C supplementation in allogeneic hematopoietic cell transplant recipients
Authors: Simmons Gary L. , Sabo Roy , Qayyum Rehan , Aziz May , Martin Erika , Bernard Robyn J. , Sriparna Manjari , McIntire Cody , Krieger Elizabeth , Brophy Donald F. , Natarajan Ramesh , III Alpha Fowler , Roberts Catherine H. , Toor Amir 
Published: August 2024

AbstractIntroductionIntravenous vitamin C was administered following hematopoietic stem cell transplant to mitigate nonrelapse mortality (NRM) in a Phase II clinical trial.MethodsPatients with advanced hematologic malignancies received IV vitamin C, 50 mg/kg/day, in three divided doses on days 1–14 after HSCT, followed by 500 mg bid oral until 6 months.ResultsAll patients enrolled (55) were deficient in vitamin C at day 0 and had restoration to normal levels. Vitamin C recipients had a trend for lower nonrelapse mortality (NRM, 11% vs. 25%, p‐value = 0.07) compared with propensity score‐matched historical controls. A similar trend toward improved survival was observed (82% vs. 62% p = 0.06), with no attributable grade 3 and 4 toxicities to vitamin C.ConclusionIn patients undergoing allogeneic HSCT, repletion of vitamin C is feasible and may reduce NRM and improve overall survival. Randomized trials in large uniform cohorts of patients are needed to confirm the utility of this easily available and inexpensive therapy.
Lower cell number, lateral defect location and milder grade are associated with improved autologous chondrocyte implantation outcome
Authors: Tierney Lauren , Kuiper Jan H. , Roberts Sally , Snow Martyn , Williams Mike , Harrington Mateus B. , Harrison Paul , Gallacher Pete , Jermin Paul , Wright Karina T. 
Published: August 2024

AbstractPurposeTo investigate patient demographic, injury and surgery/treatment‐associated factors that can influence the patient‐reported outcome (Lysholm score), following autologous chondrocyte implantation (ACI) in a large, ‘real‐world’, nonuniform, prospective data examined retrospectively.MethodsKnee patients treated at the Robert Jones and Agnes Hunt Orthopaedic Hospital, UK, using ACI between 1996 and 2020 were eligible. All longitudinal postoperative Lysholm scores collected between 1 and 23 years after ACI treatment and before any second major procedure (e.g., arthroplasty) were included. Multilevel longitudinal models were built investigating the association of short‐term (1 year) or long‐term trends in Lysholm score with baseline demographic, clinical and cell‐culture variables, namely age, gender, smoker status, body mass index, baseline Lysholm score, time from surgery, defect grade, diameter and location, number of defects, previous microfracture, patch/scaffold type, associated procedure(s), number of cells implanted and their passage number.ResultsFollowing filtering, 306 of the 427 knee ACI procedures reviewed were suitable for inclusion. Factors shown to result in higher postoperative Lysholm scores in the short term were lower patient age, higher baseline Lysholm scores, fewer implanted cells and a lateral femoral defect location. The factor which was associated with higher long‐term postoperative Lysholm scores was a milder defect grade. Additionally, the failure rate in this cohort was explored and it was found that 73/306 (24%) of patients experienced joint failure according to our definition. Furthermore, the outcome was not influenced by coincidental procedures in this cohort of patients.ConclusionsThis study has identified a number of baseline factors associated with patient‐reported outcomes following ACI and shows that treatment of associated pathology at the time of surgery potentially restores patient outcomes to a similar level as those with no associated pathologies.Level of EvidenceLevel IV.
Neurocognitive demands reduce jump distance and coordination variability of the injured leg in athletes after anterior cruciate ligament reconstruction
Authors: Gokeler Alli , Zandbergen Marit A. , Hoogeslag Roy A. G. , Houten Van Albert van , Nijmeijer Eline M. , Heuvelmans Pieter 
Published: August 2024

AbstractPurposeThe study aimed to evaluate the impact of neurocognitive reliance on jump distance and lower extremity kinematics in individuals who had undergone anterior cruciate ligament reconstruction (ACLR). This was achieved by comparing hop performance under standard and neurocognitive conditions.MethodsThirty‐two patients after ACLR and 32 healthy controls (CTRL) participated. Both groups performed a single‐leg hop for distance (SLHD) and two neurocognitive hop tests, each designed to evaluate distinct aspects of neurocognition. The neurocognitive tests included the reaction SLHD (R‐SLHD), measuring reaction to a central stimulus and working memory SLHD (WM‐SLHD) assessing response to a memorized stimulus amidst distractor stimuli. Distances were assessed for the three‐hop tests. In addition, joint kinematics were collected to calculate lower extremity coordination of the lower extremity. SLHD performance was defined as the mean hop distance per condition per leg for each participant and was analyzed using a mixed ANOVA with condition and leg as the within‐subjects factors and the group (ACLR or CTRL) as the between‐subjects factor. Differences in joint coordination variability were analyzed using two‐sample t‐test statistical parametric mapping (SPM) with linear regression.ResultsThe WM‐SLHD resulted in a significantly decreased jump distance compared with the standard hop test both for ACLR and CTRL. Furthermore, the leg difference within the ACLR group increased under higher cognitive load as tested with the WM‐SLHD, indicating leg‐specific adaptations in lower extremity coordination.ConclusionsNeurocognitive single‐leg hop tests resulted in reduced jump distance in CTRL and ACLR. The neurocognitive hop test revealed changes in coordination variability for the CTRL and the uninjured leg of ACLR individuals, whereas the injured leg's coordination variability remained unaltered, suggesting persistent cognitive control of movements post‐ACLR.Level of EvidenceLevel III.