bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Vitro–In Vivo Extrapolation of Hepatic Biotransformation Data for Fish. III. An In-depth Case Study with Pyrene
Authors: Nichols John W. , Fitzsimmons Patrick N. , Hoffman Alex D. , Wong Kameron 
Published: April 2023

Abstract
Computational models that predict chemical bioaccumulation in fish generally account for biotransformation using an apparent first-order whole-body rate constant (kB; d–1). The use of such models requires, therefore, that methods exist for estimating kB, ideally without the need to expose live animals. One promising approach for estimating kB involves the extrapolation of measured in vitro intrinsic clearance (CLIN VITRO,INT) to the whole animal (in vitro–in vivo extrapolation, [IVIVE]). To date, however, the accuracy of such predictions has been difficult to assess due to uncertainties associated with one or more extrapolation factors and/or a mismatch between fish used to generate in vitro data and those used to conduct in vivo exposures. In the present study we employed a combined in vitro and in vivo experimental approach to evaluate the IVIVE procedure using pyrene (PYR) as a model chemical. To the extent possible, measured rates of CLIN VITRO,INT were extrapolated to estimates of kB using extrapolation factors based on measured values. In vitro material (liver S9 fraction) was obtained from fish exposed to PYR in a controlled bioconcentration study protocol. Fish from the same study were then used to estimate in vivo kB values from an analysis of chemical depuration data. Averaged across four study groups, kB values estimated by IVIVE underestimated those determined from in vivo data by 2.6-fold. This difference corresponds to a 4.1-fold underestimation of true in vivo intrinsic clearance, assuming the liver is the only site of biotransformation. These findings are consistent with previous work performed using mammals and have important implications for use of measured CLIN VITRO,INT values in bioaccumulation assessments with fish. Environ Toxicol Chem 2023;42:1501–1515. Published 2023. This article is a U.S. Government work and is in the public domain in the USA.
Electricity price forecasting using hybrid deep learned networks
Authors: N. Krishna Prakash , Singh Jai Govind 
Published: April 2023

AbstractThis paper presents a novel hybrid model integrating maximal overlap discrete wavelet transform (MODWT) denoising and empirical mode decomposition (EMD) with sequence‐to‐sequence (seq2seq) long short‐term memory (LSTM) neural networks for day‐ahead electricity price forecasting. The nonstationary and nonlinear time series electricity price data are first denoised using MODWT. The resulting signal is decomposed into several intrinsic mode functions (IMF) with different resolutions by EMD. The extracted IMF is then introduced into seq2seq LSTM to obtain an aggregated predicted value for electricity price. The proposed method is examined using the Nord pool Elspot energy market data. Empirical results show that the proposed model outperformed the other forecasting models like LSTM and stacked LSTM. The performance measures indicate that data denoising can significantly improve the prediction stability and the generalization ability of the LSTM model.
Trading around the clock: Revisit volatility spillover between crude oil and equity markets in different trading sessions
Authors: Hao Jing , He Feng , Ma Feng , Fu Tong 
Published: April 2023

AbstractWe investigate the volatility spillover between the crude oil (West Texas Intermediate) and G7 countries' equity markets with high‐frequency data. Considering the trading period difference among different countries, the volatility spillover of oil market intraday and overnight sessions is studied with G7 countries, respectively. The empirical findings suggest that the US stock market dominates intraday volatility spillover to the oil market, while the European and Asian stock markets dominate overnight spillovers. The asymmetric spillover result shows that stock markets mainly spillover bad volatility to the oil market in the intraday trading session, and spillover good volatility to the oil market in the overnight trading session. Our results provide empirical evidence that crude oil market overnight trading information is also important for understanding information diffusion and volatility forecasting.
Refractory florid cystic endosalpingiosis: A case report with 5 years follow up and literature review
Authors: Zhan Hong , Zhang Hongyun , Sun Jin , Wang Wenwen , Zhu Jiang , Huang Xiufeng 
Published: April 2023

AbstractEndosalpingiosis is characterized by the presence of ectopic, benign glands with a fallopian tube‐like ciliated epithelium. Florid cystic endosalpingiosis (FCE) is a rare type of endosalpingiosis and presents with tumor‐like lesions. In general, FCE has no specific clinical features. In this case, extensive pelvic multiple Müllerian cysts were first observed and removed during the patient's second cesarean section. Lesions relapsed after a year. Therefore, the patient underwent total hysterectomy and bilateral salpingectomy; pathology revealed that the patient had FCE. According to imaging studies during the follow up, recurrent and progressive multiple pelvic and extra‐pelvic cysts were observed. The patient had no obvious symptoms, and the results of her laboratory tests were within normal limits. Ultrasound‐guided aspiration and lauromacrogol sclerotherapy were performed, and in the past year, the cysts have stabilized without progression. This is the first reported case of recurrent FCE after total hysterectomy and bilateral salpingectomy with a 5‐year follow up. A literature review and novel ideas for diagnosing and managing FCE based on this case are also presented.
The dual and emerging role of physical exercise‐induced TFEB activation in the protection against Alzheimer's disease
Authors: Morais Gustavo Paroschi , de Sousa Neto Ivo Vieira , Marafon Bruno Brieda , Ropelle Eduardo R. , Cintra Dennys E. , Pauli José R. , Silva Adelino S. R. da 
Published: April 2023

AbstractThe mechanisms of autophagy have been related to Alzheimer's disease (AD) pathogenesis by the endosomal‐lysosomal system, having a critical function in forming amyloid‐β (Aβ) plaques. Nevertheless, the exact mechanisms mediating disease pathogenesis remain unclear. The transcription factor EB (TFEB), a primary transcriptional autophagy regulator, improves gene expression, mediating lysosome function, autophagic flux, and autophagosome biogenesis. In this review, we present for the first time the hypothesis of how TFEB, autophagy, and mitochondrial function are interconnected in AD, providing a logical foundation for unraveling the critical role of chronic physical exercise in this process. Aerobic exercise training promotes Adiponectin Receptor 1 (AdipoR1)/AMP‐activated protein kinase (AMPK)/TFEB axis activation in the brain of the AD animal model, which contributes to alleviated Aβ deposition and neuronal apoptosis while improving cognitive function. Moreover, TFEB upregulates Peroxisome proliferator‐activated receptor gamma coactivator 1‐alpha (PGC‐1α) and nuclear factor erythroid 2‐related factor 2 (NRF‐2), improving mitochondrial biogenesis and redox status. In addition, tissue contraction activates calcineurin in skeletal muscle, which induces TFEB nuclear translocation, raising the hypothesis that the same would occur in the brain. Thus, a deep and comprehensive exploration of the TFEB could provide new directions and strategies for preventing AD. We conclude that chronic exercise can be an effective TFEB activator, inducing autophagy and mitochondrial biogenesis, representing a potential nonpharmacological strategy contributing to brain health.
MRI‐Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning
Authors: Cong Chao , Li Xiaoguang , Zhang Chunlai , Zhang Jing , Sun Kaixiang , Liu Lianluyi , Ambale‐Venkatesh Bharath , Chen Xiao , Wang Yi 
Published: April 2023

BackgroundDeep learning (DL) have been reported feasible in breast MRI. However, the effectiveness of DL method in mpMRI combinations for breast cancer detection has not been well investigated.PurposeTo implement a DL method for breast cancer classification and detection using feature extraction and combination from multiple sequences.Study TypeRetrospective.PopulationA total of 569 local cases as internal cohort (50.2 ± 11.2 years; 100% female), divided among training (218), validation (73) and testing (278); 125 cases from a public dataset as the external cohort (53.6 ± 11.5 years; 100% female).Field Strength/SequenceT1‐weighted imaging and dynamic contrast‐enhanced MRI (DCE‐MRI) with gradient echo sequences, T2‐weighted imaging (T2WI) with spin‐echo sequences, diffusion‐weighted imaging with single‐shot echo‐planar sequence and at 1.5‐T.AssessmentA convolutional neural network and long short‐term memory cascaded network was implemented for lesion classification with histopathology as the ground truth for malignant and benign categories and contralateral breasts as healthy category in internal/external cohorts. BI‐RADS categories were assessed by three independent radiologists as comparison, and class activation map was employed for lesion localization in internal cohort. The classification and localization performances were assessed with DCE‐MRI and non‐DCE sequences, respectively.Statistical TestsSensitivity, specificity, area under the curve (AUC), DeLong test, and Cohen's kappa for lesion classification. Sensitivity and mean squared error for localization. A P‐value <0.05 was considered statistically significant.ResultsWith the optimized mpMRI combinations, the lesion classification achieved an AUC = 0.98/0.91, sensitivity = 0.96/0.83 in the internal/external cohorts, respectively. Without DCE‐MRI, the DL‐based method was superior to radiologists' readings (AUC 0.96 vs. 0.90). The lesion localization achieved sensitivities of 0.97/0.93 with DCE‐MRI/T2WI alone, respectively.Data ConclusionThe DL method achieved high accuracy for lesion detection in the internal/external cohorts. The classification performance with a contrast agent‐free combination is comparable to DCE‐MRI alone and the radiologists' reading in AUC and sensitivity.Evidence Level3.Technical EfficacyStage 2.
Chemical burns generated by chlorine gas
Authors: Norimatsu Yuta , Goto Taeko , Kogure Asako , Kuwano Yoshihiro 
Published: April 2023

AbstractWe present the case of a 40‐year‐old woman exposed for 4 h and 30 min to chlorine gas generated by mixing detergents containing hydrochloric acid and hypochlorous acid to commit suicide in the bathroom. Acute respiratory failure, chemical burns all over the face and a corneal erosion occurred. Despite skin chemical burns have not been reported after exposure to chlorine gas, this report suggests that chemical burns may occur due to prolonged exposure even at relatively low concentration of chlorine gas.
Temporal and spatial distribution of dorcas and slender‐horned gazelles in a Saharan habitat
Authors: Meliane Mohamed Khalil , Saidi Amira , Petretto Marie , Gilbert Tania , Nasri‐Ammar Karima 
Published: April 2023

AbstractSaharan ungulates have suffered from poaching across their range leading to population declines. Low abundance and habitat inaccessibility have limited the availability of empirical data on desert ungulate ecology in the wild. Our objective was to evaluate temporal and spatial distribution, and home‐range sizes of wild dorcas gazelles (Gazella dorcas) and slender‐horned gazelles (Gazella leptoceros) under natural conditions using observations from 14,398 camera‐days collected between April 2019 and October 2021 in the 7,700‐ha fenced area of Jbil National Park (Jbil NP), Tunisia. We individually identified gazelles in Jbil NP using unique horn morphology. Both gazelle species exhibited nocturnal activity patterns in summer, but diurnal activity patterns dominated in winter. We also detected both species more frequently in the plains than in mountains. Water presence was influential in determining distribution only for dorcas gazelles. Minimum convex polygons (MCPs) were 2,062 ha for both the male and female of the most frequently detected dorcas gazelle pair and 1,527 ha for another solitary male. For slender‐horned gazelles, MCPs were 2,280 ha and 2,041 ha, respectively, for a male and a female detected in Jbil NP. The decline and rarity of gazelles in the Sahara Desert have limited the sample size of our observed populations. Our study provides hitherto unknown data on wild populations of rapidly declining gazelle species and contributes to ongoing conservation efforts.
dl‐Methionine‐Mediated Reversible Deactivation Radical Polymerization of Styrene and Methyl Methacrylate
Authors: Lv Hanyu , An Jiaqi , Li Fanfan , Zhang Yanwu 
Published: April 2023

AbstractReversible deactivation radical polymerization (RDRP) is a facile and highly efficient technique for the synthesis of well‐defined polymer with precise structure. dl‐Methionine (Met) as a RDRP control agent is described and assessed for RDRP of styrene (St) and methyl methacrylate (MMA) with AIBN as radical initiator at 75 °C, which enables excellent control of this polymerization. The addition of dl‐Methionine significantly decreased the dispersity (Đ) of the polymers for both monomers and first‐order linear kinetic plots of polymethyl methacrylate (PMMA) are observed in DMSO. Considering the heat resistance of dl‐Methionine, kinetic studies indicate that polymerization develops at a faster rate at higher reaction temperature (100 °C) with the same dl‐Methionine content. Well‐defined polymethyl methacrylate‐block‐polystyrene (PMMA‐block‐PSt) is successfully achieved by the chain extension reaction that demonstrates the high end fidelities of this polymerization approach. The system allows the use of dl‐Methionine, a rich source and easily synthesized agent, to mediate RDRP strategy.
miR‐132‐3p promotes heat stimulation‐induced esophageal squamous cell carcinoma tumorigenesis by targeting KCNK2
Authors: Wang Jing , Li Jiaqiong , Cheng Dan , Zhang Keke , Liu Wenting , Xue Qianqian , Du Ruijuan , Zhou Liting , Yeung Yiu To , Bai Ruihua , Huang Hui , Cui Jie , Xiang Pu , Zhi Yafei , Liu Kangdong , Li Xiang , Dong Zigang 
Published: April 2023

AbstractEpidemiological evidence supports that consumption of high‐temperature food and beverages is an important risk factor for esophageal squamous cell carcinoma (ESCC); however, the underlying mechanism still remains unclear. Here, we established a series of animal models and found that drinking 65°C water can promote esophageal tumor progression from preneoplastic lesions to ESCC. RNA sequencing data showed that miR‐132‐3p was highly expressed in the heat stimulation group compared with controls. Further study verified that miR‐132‐3p were upregulated in human premalignant lesion tissues of the esophagus, ESCC tissues, and cells. Overexpression of miR‐132‐3p could promote ESCC cell proliferation and colony formation, whereas knockdown of miR‐132‐3p could inhibit ESCC progression in vitro and in vivo. Importantly, dual‐luciferase reporter assays showed that miR‐132‐3p could bind with the 3′‐untranslated region of KCNK2 and inhibit KCNK2 gene expression. Knockdown or overexpression of KCNK2 could promote or suppress ESCC progression in vitro. These data suggest that heat stimulation can promote ESCC progression and miR‐132‐3p mediated this process by directly targeting KCNK2.
Metal‐based nanomaterials and nanocomposites as promising frontier in cancer chemotherapy
Authors: Kumar Sunil , Shukla Monu Kumar , Sharma Abhishek Kumar , Jayaprakash Gururaj K. , Tonk Rajiv K. , Chellappan Dinesh K. , Singh Sachin Kumar , Dua Kamal , Ahmed Faheem , Bhattacharyya Sanjib , Kumar Deepak 
Published: April 2023

AbstractCancer is a disease associated with complex pathology and one of the most prevalent and leading reasons for mortality in the world. Current chemotherapy has challenges with cytotoxicity, selectivity, multidrug resistance, and the formation of stemlike cells. Nanomaterials (NMs) have unique properties that make them useful for various diagnostic and therapeutic purposes in cancer research. NMs can be engineered to target cancer cells for early detection and can deliver drugs directly to cancer cells, reducing side effects and improving treatment efficacy. Several of NMs can also be used for photothermal therapy to destroy cancer cells or enhance immune response to cancer by delivering immune‐stimulating molecules to immune cells or modulating the tumor microenvironment. NMs are being modified to overcome issues, such as toxicity, lack of selectivity, increase drug capacity, and bioavailability, for a wide spectrum of cancer therapies. To improve targeted drug delivery using nano‐carriers, noteworthy research is required. Several metal‐based NMs have been studied with the expectation of finding a cure for cancer treatment. In this review, the current development and the potential of plant and metal‐based NMs with their effects on size and shape have been discussed along with their more effective usage in cancer diagnosis and treatment.
Elevation angle measurement for low‐angle targets using synthesized pattern null method
Authors: Wu Suxing , Shen Lei , Geng Liang , Yang Guang , Zhang Pengda , Zhang Yanran 
Published: April 2023

AbstractThis study proposes a novel method, that is, synthesized pattern null (SPN) method. The SPN method has very low computational complexity, which can be fully applied to all range‐azimuth resolution cells of the actual radar system. It does not depend on the multipath propagation model and has good robustness. This study presents the derivation process, the simulation results, and comparative experimental results of the actual radar system. The results reveal that the SPN method can significantly reduce the elevation angle error for low‐angle targets, and the root mean square error (RMSE) can be reduced to about 1/15 beam width. Moreover, compared with the synthesized vector maximum likelihood method, this method has similar angle measurement performance, much lower computational complexity and better robustness.
Evaluation of parametrial infiltration in patients with IB‐IIB cervical cancer by a radiomics model integrating features from tumoral and peritumoral regions in 18F‐fluorodeoxy glucose positron emission tomography/MR images
Authors: Shang Fei , Tan Zheng , Gong Tan , Tang Xiaoying , Sun Hongzan , Liu Shuai 
Published: April 2023

AbstractParametrial infiltration (PMI) is an essential factor in staging and planning treatment of cervical cancer. The purpose of this study was to develop a radiomics model for accessing PMI in patients with IB‐IIB cervical cancer using features from 18F‐fluorodeoxy glucose (18F‐FDG) positron emission tomography (PET)/MR images. In this retrospective study, 66 patients with International Federation of Gynecology and Obstetrics stage IB‐IIB cervical cancer (22 with PMI and 44 without PMI) who underwent 18F‐FDG PET/MRI were divided into a training dataset (n = 46) and a testing dataset (n = 20). Features were extracted from both the tumoral and peritumoral regions in 18F‐FDG PET/MR images. Single‐modality and multimodality radiomics models were developed with random forest to predict PMI. The performance of the models was evaluated with F1 score, accuracy, and area under the curve (AUC). The Kappa test was used to observe the differences between PMI evaluated by radiomics‐based models and pathological results. The intraclass correlation coefficient for features extracted from each region of interest (ROI) was measured. Three‐fold crossvalidation was conducted to confirm the diagnostic ability of the features. The radiomics models developed by features from the tumoral region in T2‐weighted images (F1 score = 0.400, accuracy = 0.700, AUC = 0.708, Kappa = 0.211, p = 0.329) and the peritumoral region in PET images (F1 score = 0.533, accuracy = 0.650, AUC = 0.714, Kappa = 0.271, p = 0.202) achieved the best performances in the testing dataset among the four single‐ROI radiomics models. The combined model using features from the tumoral region in T2‐weighted images and the peritumoral region in PET images achieved the best performance (F1 score = 0.727, accuracy = 0.850, AUC = 0.774, Kappa = 0.625, p < 0.05). The results suggest that 18F‐FDG PET/MRI can provide complementary information regarding cervical cancer. The radiomics‐based method integrating features from the tumoral and peritumoral regions in 18F‐FDG PET/MR images gave a superior performance for evaluating PMI.
Effects of the use of oral nutrition supplements on clinical outcomes among patients who have undergone surgery for hip fracture: A literature review
Authors: Rempel Amanda N. , Rigassio Radler Diane L. , Zelig Rena S. 
Published: April 2023

AbstractOlder adults who have undergone surgery for hip fracture are often malnourished or at risk for malnutrition, and providing oral nutrition supplements is a common intervention used to help meet nutrition needs postoperatively among this population. A literature search was conducted to examine the effects of oral nutrition supplementation on postoperative outcomes among patients ≥55 years old who had undergone surgery for hip fracture. Three randomized controlled trials that met inclusion criteria are examined in this review. Findings suggest that the use of oral nutrition supplements is not associated with decreased hospital length of stay but is associated with improvements in markers of sarcopenia and functional status. Additionally, the literature implies that oral nutrition supplements containing calcium beta‐hydroxy‐beta‐methylbutyrate may have the most benefit for improving postoperative outcomes. This review concludes that oral nutrition supplement use can be incorporated as a part of routine protocols for patients who have had surgery to repair a hip fracture. However, given some inconsistent findings, future research is needed to support the inclusion of oral nutrtition supplement use in clinical practice guidelines for this population. Furthermore, future research should explore how the use of oral nutrition supplements with calcium beta‐hydroxy‐beta‐methylbutyrate compares with the use of oral nutrition supplements without this ingredient.
Systemic administration of the antisense oligonucleotide NS‐089/NCNP‐02 for skipping of exon 44 in patients with Duchenne muscular dystrophy: Study protocol for a phase I/II clinical trial
Authors: Ishizuka Takami , Komaki Hirofumi , Asahina Yasuko , Nakamura Harumasa , Motohashi Norio , Takeshita Eri , Shimizu‐Motohashi Yuko , Ishiyama Akihiko , Yonee Chihiro , Maruyama Shinsuke , Hida Eisuke , Aoki Yoshitsugu 
Published: April 2023

AbstractAimThe purpose of this study is to evaluate the safety and pharmacokinetics of the novel morpholino oligomer NS‐089/NCNP‐02 which can induce exon 44 skipping, in patients with DMD. Additionally, we aimed to identify markers predictive of therapeutic efficacy and determine the optimal dosing for future studies.MethodsThis is an open‐label, dose‐escalation, two‐center phase I/II trial in ambulant patients with DMD, presence of an out‐of‐frame deletion, and a mutation amenable to exon 44 skipping. Part 1 is a stepwise dose‐finding stage (4 weeks) during which NS‐089/NCNP‐02 will be administered intravenously at four dose levels once weekly (1.62, 10, 40, and 80 mg/kg); Part 2 is a 24‐week evaluation period based on the dosages determined during Part 1. The primary (safety) endpoints are the results of physical examinations, vital signs, 12‐lead electrocardiogram and echocardiography tests, and adverse event reporting. Secondary endpoints include expression of dystrophin protein, motor function assessment, exon 44 skipping efficiency, plasma and urinary NS‐089/NCNP‐02 concentrations, and changes in blood creatine kinase levels.DiscussionExon‐skipping therapy using ASOs shows promise in selected patients, and this first‐in‐human study is expected to provide critical information for subsequent clinical development of NS‐089/NCNP‐02.