bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of a prediction model for heart failure in patients with heart valvular regurgitation
Authors: Xiao WenKang , Yuan Jia‐Lin , Chen YunYi , Ma GuiPing , Zhang ChaoQiong , Sun Le , Hong ChuangXiong , Ye Taochun 
Published: June 2024

AbstractAimsPatients with heart valvular regurgitation is increasing; early screening of potential patients developing heart failure (HF) is crucial.MethodsFrom 1 November 2019 to 31 October 2023, a total of 509 patients with heart valvular regurgitation hospitalized in the Department of Cardiovascular Disease of the First Affiliated Hospital of Guangzhou University of Traditional Medicine were enrolled. Three hundred fifty‐six cases were selected as the training set for modelling, and 153 cases were selected as the validation set for the internal validation of the model.ResultsA predictive model of heart failure with the following nine risk factors was developed: atrial fibrillation (AF), pulmonary infection (PI), coronary artery disease (CAD), creatinine (CREA), low‐density lipoprotein cholesterol (LDL‐C), d‐dimer (DDi), left ventricular end‐diastolic diameter (LVEDd), mitral regurgitation (MR) and aortic regurgitation (AR). The model was evaluated by the C‐index [the training set: area under curve (AUC) 0.937, 95% confidence interval (CI) 0.911–0.963; the validation set: AUC 0.928, 95% CI 0.890–0.967]. Hosmer–Lemeshow test (the training set: χ2 10.908, P = 0.207; the validation set: χ2 4.896, P = 0.769) revealed that both the training and validation sets performed well in terms of model differentiation and calibration. Decision curve analysis showed that both the training and validation sets have higher net benefits, indicating that the model has good utility. Ten‐fold cross‐validation showed that the training set has high similarities with the validation set, which means that the model has good stability.ConclusionsThe occurrence of heart failure in patients with valvular regurgitation has a significant correlation with AF, PI, CAD, CREA, LDL‐C, DDi, LVEDd, MR and AR. Based on these risk factors, a prediction model for heart failure was developed and validated, which showed good differentiation and utility, high accuracy and stability, providing a method for predicting heart failure.
Enhancing placebo analgesia: Unravelling the powerful interplay of ownership and verbal suggestion
Authors: Yeung Victoria Wai Lan 
Published: June 2024

AbstractBackgroundPlacebo analgesic research demonstrates pain reduction after using a placebo analgesic. Recent studies have documented that sometimes possessing a placebo analgesic induces placebo analgesia. These prior studies used a ‘cream’ as the stimulus and proposed that the effect is driven by an expectancy of obtaining benefits from the owned analgesic. This paper examines three pivotal components of placebo analgesia: placebo form, ownership and expectancy induced by verbal suggestion. We investigate analgesic expectancy between cream versus oil form of placebo stimulus and systematically isolate the effects of ownership, verbal suggestion and their interaction, comparing with the effect of use, to decipher the dynamics of placebo analgesia.MethodsStudy 1 (N = 46) evaluated analgesic expectancy between cream and oil. Study 2 (N = 119) exposed participants to a placebo analgesic oil and randomized them into PU (possess and use), PA (possess and anticipate), P (possess‐only) or A (anticipate‐only) conditions. Pain outcomes were assessed using a cold pressor test. Comparing PA and P conditions assessed the verbal suggestion effect, comparing PA and A conditions evaluated the possession effect, while comparing PU and PA conditions shed light on the use effect.ResultsIn Study 1, participants showed comparable analgesic expectancy for cream and oil. In Study 2, both PA and PU groups performed equally well, reporting higher pain threshold, F(3, 115) = 5.14, p = 0.002,  = 0.12; and a greater probability of persistent hand submersion than P and A groups, X2(3) = 8.06, p = 0.045.ConclusionThe findings highlight the significance of integrating possession with expectancy to induce placebo analgesia, which has clinical implications.SignificanceThis study delves into the intricate dynamics of placebo analgesia, shedding light on the significant influence of ownership and verbal suggestion. Through a meticulous exploration of the relationship between ownership and expectancy induced by verbal suggestion, we propose novel avenues for enhancing placebo responses. This research has implications for clinical practice and pain management strategies, potentially revolutionizing approaches to pain relief and therapeutic outcomes. Our findings contribute to a paradigm shift in understanding placebo analgesia, emphasizing the pivotal interaction between ownership and verbal suggestion.
Solar‐powered mixed‐linker metal–organic frameworks for water harvesting from arid air
Authors: Yan Xueli , Xue Fei , Zhang Chunyang , Peng Hao , Huang Jie , Liu Feng , Lu Kejian , Wang Ruizhe , Shi Jinwen , Li Naixu , Chen Wenshuai , Liu Maochang 
Published: June 2024

AbstractMetal–organic frameworks (MOFs) are a class of promising nanomaterials for atmospheric water harvesting (AWH), especially in arid remote areas. However, several challenges are still faced for practical applications because of the dissatisfied water adsorption/desorption properties in terms of the capability, kinetics, and stability. Herein, we report the facile synthesis of a nano‐sized octahedral nitrogen‐modified MOF‐801 that exhibits superior solar‐powered AWH performance using a custom‐made device, with a state‐of‐the‐art water harvesting ability up to from air upon 12‐h test under a relative humidity (RH) of 30% and simulated sunlight irradiation. The nitrogen‐modified MOF‐801 with rapid sorption–desorption kinetics, uptakes of water at 30% RH within 30 min and releases 90% of the captured water within 10 min under 1‐sun illumination. The success relies on N‐doping‐induced mixed‐linkers in the form of 2,3‐diaminobutanedioic acid and fumaric acid in the unique pore structures of the MOFs for rapid and high‐capacity water capture. The N‐doped MOF‐801 with water uptake capacity, fast adsorption kinetics, and cycle stability sheds light on the practical use of MOFs for effective solar‐powered water harvesting from droughty air.image
The significance of multimodality approach in the management of non‐lesional drug‐resistant focal parietal lobe epilepsies
Authors: Hartnett Patrick , Zomorodi Naseem , Goodkin Howard P. , Zawar Ifrah 
Published: June 2024

AbstractDue to extensive connectivity of the parietal lobe, non‐lesional drug‐resistant (DRE) parietal lobe epilepsies (PLEs) are difficult to localize and often imitate other epilepsies. Therefore, patients with PLEs have low rates of seizure freedom following epilepsy surgery. Previous studies have highlighted the need to combine EEG and semiology for more accurate localization of PLEs. As sophisticated tools for localization become more available, the use of multiple different neuroimaging and neurophysiologic diagnostic tests may more readily identify PLE. We hereby report a unique case of a complex localization in a non‐lesional PLE, which was initially falsely localized to frontal lobe. This case underscores the utility of voxel‐based morphometry (VBM) in identifying an epileptogenic lesion on a non‐lesional MRI and the significance of multimodality approach including PET, magnetoencephalopathy (MEG), interictal and ictal EEG, semiology and cortical stimulation for accurate localization of PLEs. Understanding epilepsy through multimodality approach in this fashion can help with accurate localization especially in difficulty to localize and deceptive non‐lesional PLEs.Plain Language SummaryParietal lobe epilepsies are hard to pinpoint in the brain and can mimic other types of epilepsy, especially when brain MRIs appear normal. As sophisticated tools for locating epilepsies in the brain become more available, using multiple diagnostic tests may help identify parietal lobe epilepsies more easily. We describe a unique case of a parietal lobe epilepsy patient with normal brain MRI whose epilepsy was initially misidentified as being in the frontal lobe. Using various advanced diagnostic tests, we accurately found the epilepsy's true location in the parietal lobe and successfully treated the patient with surgery.
Less sample‐cooperative spectrum sensing against large‐scale Byzantine attack in cognitive wireless sensor networks
Authors: Wu Jun , Dai Mingyuan , Teng Xuyang , Wu Chao , He Meilin , Liang Haoyu , Chen Hao , Jin Ye , Cao Weiwei 
Published: June 2024

AbstractCooperative spectrum sensing (CSS) has emerged as a promising strategy for identifying available spectrum resources by leveraging spatially distributed sensors in cognitive wireless sensor networks (CWSNs). Nevertheless, this open collaborative approach is susceptible to security threats posed by malicious sensors, specifically Byzantine attack, which can significantly undermine CSS accuracy. Moreover, in extensive CWSNs, the CSS process imposes substantial communication overhead on the reporting channel, thereby considerably diminishing cooperative efficiency. To tackle these challenges, this article introduces a refined CSS approach, termed weighted sequential detection (WSD). This method incorporates channel state information to validate the global decision made by the fusion center and assess the trust value of sensors. The trust value based weight is assigned to sensing samples, which are then integrated into a sequential detection framework within a defined time window. This sequential approach prioritizes samples based on descending trust values. Numerical simulation results reveal that the proposed WSD outperforms conventional fusion rules in terms of the error probability, sample size, achievable throughput, and latency, even under varying degrees of Byzantine attack. This innovation signifies a substantial advancement in enhancing the reliability and efficiency of CSS.
Forecasting Crude Oil Volatility Using the Deep Learning‐Based Hybrid Models With Common Factors
Authors: Yang Ke , Hu Nan , Tian Fengping 
Published: June 2024

ABSTRACTBased on empirical evidence of the Chinese commodity futures volatility dynamics, we propose a novel and flexible hybrid model, denoted as SAE‐HAR‐DL, which combines a supervised autoencoder (AE) with the deep learning‐based HAR model framework to capture essential common factor information and uses the reconstruction error of the AE component as a regularizer to enhance the generalization ability of the testing subsample. The empirical findings strongly support the effectiveness of this model in accurately forecasting crude oil futures volatility in the post‐COVID‐19 era, compared to the HAR, HAR‐PCA, and HAR‐DL models. Moreover, a robustness check also demonstrates the positive contribution of common factors to the volatility prediction of other commodity futures. Notably, we establish that these common factors act as effective regularizers, mitigating prediction losses within the HAR model in extreme risk events such as the COVID‐19 pandemic and the Russia–Ukraine conflict.
The Pay‐for‐Success Contract: A Valuation Note
Authors: Andrikopoulos Andreas , Tsekrekos Andrianos E. 
Published: June 2024

ABSTRACTPay‐for‐success contracts are social and financial innovations in social policy and capital markets, respectively. This paper argues that they exhibit option‐like payoffs and implements standard option‐pricing arguments in assessing the value of investing in pay‐for‐success contracts. Sensitivities vis‐à‐vis contract specifications are reflected in the valuation formula and help reach investment and social policy decisions. These sensitivities are demonstrated via a numerical application that uses parameters drawn from the Massachusetts Juvenile Justice Pay for Success Initiative, the largest pay‐for‐success initiative in the United States at the time of its launch.
Stochastic Class‐Attention Net to Detect the Breast Carcinoma Subtypes With Test Time Augmentation
Authors: Harshey Vivek , Pharwaha Amar Partap Singh 
Published: June 2024

ABSTRACTDespite advances in medical sciences, breast cancer remains a deadly disease globally, primarily affecting women. Fortunately, studies claim that breast cancer is treatable if diagnosed early. Late diagnoses have poor prognoses and can affect the patient's quality of life. Therefore, a significant research body is dedicated to establishing and identifying the disease at an initial stage. Deep learning (DL) techniques are garnering attention for aiding medical professionals in detecting this disease using histopathology (HP) image modality. The heterogeneous nature of this disease subtypes results in the imbalances of benign and malignant subtypes. From a DL point of view, this becomes an imbalanced problem deserving special care. Unfortunately, current DL‐based techniques do not fully address this issue and suffer from poor metrics and robustness. In this work, we present a DL‐based breast cancer automatic detection system (BCADS) using a novel architecture stochastic class‐attention net (SCAN). This technique performed better when combined with label smoothing and test time augmentation. This work outperforms the previously reported results for binary and multiclass on the BreaKHis dataset. Also, we validated our method on separate BACH and BCNB datasets to prove its effectiveness and clinical relevancy. We hope that the designed BCADS will help the treating doctor and pathologist in a meaningful way and thus help to reduce the impact of this deadly disease.
Implementing culturally responsive and trauma‐informed practices with checklists and goal setting
Authors: Beaulieu Lauren , Kwak Daniel , Jimenez‐Gomez Corina , Morgan Gabrielle 
Published: June 2024

AbstractWe discuss the use of two empirically validated behavior‐change methods—checklists and goal setting—and designed a checklist to assist behavior analysts in improving their behavioral services to be more culturally responsive and trauma informed. We also present pilot data evaluating the use of the checklist and goal setting on the inclusion of culturally responsive and trauma‐informed practices in behavior support plans designed for students in a public school. The training package was effective for both participants, and the participants' weekly goals corresponded to the observed changes in their behavior plans. Moreover, both participants strongly agreed that the checklist was valuable and easy to use and reported increases in their perceived abilities to implement culturally responsive and trauma‐informed practices posttraining.
Hydroxyapatite synthesis and characterization from waste animal bones and natural sources for biomedical applications
Authors: Okpe Promise Chinonso , Folorunso Oladipo , Aigbodion Victor Sunday , Obayi Camillus 
Published: June 2024

AbstractHydroxyapatites (HAps) synthesized from waste animal bones have recently gained attention due to their outstanding properties. This is because there is a need to fabricate scaffolds with desirable mechanical strength, ability to withstand high temperatures, and insoluble in solvents such as water, acetone, ethanol, and isopropyl alcohol. This study is an extensive summary of many articles on the routes of synthesis/preparation of HAp, and the optimum processing parameter, and the biomedical application areas, such as: drug administration, dental implants, bone tissue engineering, orthopedic implant coatings, and tissue regeneration/wound healing. A broad catalog of the synthesis methods (and combination methods), temperature/time, shape/size, and the calcium‐to‐phosphorous (Ca/P) value of diverse waste animal bone sources were reported. The alkaline hydrolysis method is proposed to be suitable for synthesizing HAp from natural sources due to the technique's ability to produce intrinsic HAp. The method is also preferred to the calcination method owing to the phase transformation that takes place at high temperatures during calcinations. However, calcinations aid in removing impurities and germs during heating at high temperatures. When compared to calcination technique, alkaline hydrolysis method results in crystalline HAp; the higher degree of crystallinity is disadvantageous to HAp bioactivity. In addition, the standardization and removal of impurities and contaminants, thorough biocompatibility to ensure clinical safety of the HAp to the human body, and improvement of the mechanical strength and toughness to match specific requirements for the various biomedical applications are the important areas for future studies.
Application of lactobacillus casei and lactobacillus plantarum to develop dried functional apple and banana
Authors: Sabahi Sahar , Noori Seyyed Mohammad Ali , Ekrami Alireza , Hosseini Seyed Ahmad , Seyedtabib Maryam , Akrami Sousan 
Published: June 2024

AbstractThe goal of this research was to create dried fruits loaded with probiotic microorganisms (Lactobacillus casei and Lactobacillus plantarum). In separate bottles for each probiotic microbe, apple and banana pieces have been submerged into the impermeability solution with gentle shaking. The vacuum pressure was applied. By the conclusion of the incubation time, L. casei and L. plantarum colonies were enumerated (CFU/g). The scanning electron microscope method was applied to confirm the penetration of impregnation solutions into the intercellular spaces of fruit tissue. On day 28, the population of L. plantarum was 5 log CFU/g for apples and 5.5 log CFU/g for bananas. After storage, the number of L. casei in apples was 5 log CFU/g and 5.5 log CFU/g, respectively. L. casei was found on the surface of apple and banana tissue. After one‐week, whole phenolic content of probiotic‐enriched bananas and apples augmented. After storage, the antioxidant activity of all samples decreased greatly. The sensory qualities of the samples were excellent throughout storage in terms of color, quality, scent, sensitivity, chewiness, and general adequacy. As a result, dried apples and bananas infused with L. plantarum and L. casei might be a novel probiotic meal.Research Highlights
Dried apples and bananas infused with L. plantarum and L. casei are novel probiotic meal.
After one‐week, whole phenolic content of probiotic‐enriched bananas and apples augmented.
The sensory qualities of the samples were excellent throughout storage in terms of color, quality, scent, sensitivity, chewiness, and general adequacy.
Total syntheses of fungal isoindolinones corallocins B and C
Authors: Hori Kazuki , Onuma Shunsuke , Nakazato Yuta , Mashiko Tomoya , Kasamatsu Akihiko , Matsuzawa Akinobu , Kamo Shogo , Sugita Kazuyuki 
Published: June 2024

AbstractThe first total syntheses of corallocins B and C are described herein. The Suzuki–Miyaura coupling was key to completion. Because these two natural products have been reported to induce neurotrophin expression in human astrocytes, they are expected to serve as new drug leads for neurodegenerative diseases.
Molecular characterization of rotavirus indicates predominance of G9P[4] genotype among children with acute gastroenteritis: First report after vaccine introduction in Pakistan
Authors: Usman Muhammad , Rana Muhammad Suleman , Salman Muhammad , Alam Muhammad Masroor , Khurshid Adnan , Umair Massab , Ullah Nadeem , Anas Muhammad , Ahmed Muzzamil , Ayub Aaima , Habib Sabahat , Zohaib Ali , Javed Aneela 
Published: June 2024

AbstractGlobally, Group A rotavirus (RVA) is the leading cause of acute gastroenteritis in children under 5 years old, with Pakistan having the highest rates of RVA‐related morbidity and mortality. The current study aims to determine the genetic diversity of rotavirus and evaluate the impact of Rotarix‐vaccine introduction on disease epidemiology in Pakistan. A total of 4749 children, hospitalized with acute gastroenteritis between 2018 and 2020, were tested at four hospitals in Lahore and Karachi. Of the total, 19.3% (918/4749) cases were tested positive for RVA antigen, with the positivity rate varying annually (2018 = 22.7%, 2019 = 14.4%, 2020 = 20.9%). Among RVA‐positive children, 66.3% were under 1 year of age. Genotyping of 662 enzyme‐linked immuno sorbent assay‐positive samples revealed the predominant genotype as G9P[4] (21.4%), followed by G1P[8] (18.9%), G3P[8] (11.4%), G12P[6] (8.7%), G2P[4] (5.7%), G2P[6] (4.8%), and 10.8% had mixed genotypes. Among vaccinated children, genotypes G9P[4] and G12P[6] were more frequently detected, whereas a decline in G2P[4] was observed. Phylogenetic analysis confirmed the continued circulation of indigenous genotypes detected earlier in the country except G9 and P[6] strains. Our findings highlight the predominance of G9P[4] genotype after the vaccine introduction thus emphasizing continual surveillance to monitor the disease burden, viral diversity, and their impact on control of rotavirus gastroenteritis in children.
Species‐level characterization of the cervicovaginal microbiota and its role in human papillomavirus‐associated cervical carcinogenesis
Authors: Logel Margaret , El‐Zein Mariam , Franco Eduardo L. , Gonzalez Emmanuel 
Published: June 2024

AbstractThe cervicovaginal microbiome may contribute to human papillomavirus (HPV)‐associated cervical carcinogenesis, but studies have been limited by low‐resolution analysis methods. Using a high‐resolution bioinformatics pipeline, we evaluated the relationship of the cervicovaginal microbiome with HPV and cervical intraepithelial neoplasia (CIN). The cervicovaginal microbiome of 186 women was characterized by sequencing 16S rRNA regions (V3–V4 and V5–V6) and annotated with the high‐resolution ANCHOR pipeline. Samples were genotyped for HPV using the Roche‐Cobas 4800 assay. We fitted logistic regression models using stepwise forward selection to select species (presence/absence) as correlates of CIN1+ and constructed a linear microbiome‐based score using the regression coefficients. An HPV‐based score was calculated from a separate logistic regression model to detect CIN1+ . Receiver operating characteristic curve analyses were performed; the area under the curve (AUC) and 95% confidence intervals (CI) were compared between scores. Overall, 66.7% of participants were HPV‐positive. 77 unique species were identified: 8 using V3–V4, 48 using V5–V6, and 21 shared. Twelve species were retained via stepwise selection. The AUCs for the microbiome‐, and HPV‐based scores were 0.7656 (95% CI 0.6885–0.8426), and 0.7529 (95% CI 0.6855–0.8204), respectively. Bacterial species may be involved in cervical carcinogenesis as the microbiome‐ and HPV‐based scores performed similarly for CIN1+ detection.
Synergistic Effect of Multilayered Alginate/Poly(SBMA) Coatings on Marine Antifouling Property
Authors: Lee Jinwoo , Kim Inho , Kang Sung Min 
Published: June 2024

AbstractAlginate (Alg) coatings have attracted attention as protective layers on solid surfaces for marine antifouling applications due to their strong water binding capability and environmentally friendly characteristics. However, the effectiveness of Alg coatings in preventing marine fouling diminishes upon interaction with divalent cations present in seawater. To address this issue, post‐modification of the Alg coating is conducted. The carboxyl groups of Alg, which are susceptible sites for interaction with divalent cations, are conjugated with polymerization initiators through metal‐mediated coordination bond formation. Subsequently, poly(sulfobetaine methacrylate) (poly(SBMA)) brushes are grown from the initiator‐immobilized Alg coatings, resulting in the formation of multilayered Alg/poly(SBMA) coatings. In marine diatom adhesion assays using Amphora Coffeaeformis, multilayered Alg/poly(SBMA) coatings exhibited superior antifouling performance compared to single‐layered Alg or poly(SBMA) coating controls.