bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preoperative CT‐based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors
Authors: Yang Ping , Wu Jiamei , Liu Mengqi , Zheng Yineng , Zhao Xiaofang , Mao Yun 
Published: June 2024

AbstractBackgroundGastrointestinal stromal tumors (GISTs) are clinically heterogeneous with various malignant potential in different individuals. It is crucial to explore a reliable method for preoperative risk stratification of gastric GISTs noninvasively.PurposeTo establish and evaluate a machine learning model using the combination of computed tomography (CT) morphology, radiomics, and deep learning features to predict the risk stratification of primary gastric GISTs preoperatively.MethodsThe 193 gastric GISTs lesions were randomly divided into training set, validation set, and test set in a ratio of 6:2:2. The qualitative and quantitative CT morphological features were assessed by two radiologists. The tumors were segmented manually, and then radiomic features were extracted using PyRadiomics and the deep learning features were extracted using pre‐trained Resnet50 from arterial phase and venous phase CT images, respectively. Pearson correlation analysis and recursive feature elimination were used for feature selection. Support vector machines were employed to build a classifier for predicting the risk stratification of GISTs. This study compared the performance of models using different pre‐trained convolutional neural networks (CNNs) to extract deep features for classification, as well as the performance of modeling features from single‐phase and dual‐phase images. The arterial phase, venous phase and dual‐phase machine learning models were built, respectively, and the morphological features were added to the dual‐phase machine learning model to construct a combined model. Receiver operating characteristic (ROC) curves were used to evaluate the efficacy of each model. The clinical application value of the combined model was determined through the decision curve analysis (DCA) and the net reclassification index (NRI) was analyzed.ResultsThe area under the curve (AUC) of the dual‐phase machine learning model was 0.876, which was higher than that of the arterial phase model or venous phase model (0.813, 0.838, respectively). The combined model had best predictive performance than the above models with an AUC of 0.941 (95% CI: 0.887–0.974) (p = 0.012, Delong test). DCA demonstrated that the combined model had good clinical application value with an NRI of 0.575 (95% CI: 0.357–0.891).ConclusionIn this study, we established a combined model that incorporated dual‐phase morphology, radiomics, and deep learning characteristics, which can be used to predict the preoperative risk stratification of gastric GISTs.
The supportive care needs of stroke patients: A scoping review
Authors: Wang Shuaiyou , Li Dingding , Zhu Shanshan , Guo Xin , Xu Meiqi , Wang Hongru , Zhang Huimin 
Published: June 2024

AbstractThe aims of the current review were to identify the current supportive care needs of stroke patients, categorize those needs according to the supportive care needs framework (SCNF), and to form a SCNF of stroke patients. Preferred Reporting Items for Systematic Reviews and Meta‐Extension for Scoping Reviews (PRISMA‐ScR) and Guidance for conducting systematic scoping reviews were followed. Ten databases were searched, including six English databases: PubMed, Embase, Web of Science, Cumulative Index to Nursing Allied Health Literature, Cochrane Library, and PsycINFO, and four Chinese databases: China National Knowledge Infrastructure, Wan Fang, China Biology Medicine Database and Chongqing VIP. The search period covers from the establishment of the database to December 31, 2022. Three thousand twenty‐nine hits were screened resulting in the inclusion of 34 articles in the final literature review. The greatest need identified by stroke patients was information, followed by psychological, social, rehabilitation, practical, physical, emotional, and spiritual needs. The supportive care needs of stroke patients were identified. A preliminary SCNF of stroke patients was developed according to Fitch's SCNF. The multitude of existing needs of stroke patients need to be addressed. This review may represent the first time that SCNF for stroke patients has been developed. This work may lay the foundation for future research on the supportive care needs of stroke patients and provide a framework for the implementation of supportive care in clinical stroke units.
Dairy toothbrushing habit is effective to prevent the aggravation of COVID‐19 infection
Authors: Enomoto Akifumi , Takada Yuto , Kinishita Yuko , Lee Atsushi‐Doksa , Shimoide Takeshi , Yamao Hisatoshi , Kakiuchi Yasuhiro , Tabuchi Takahiro 
Published: June 2024

AbstractAimThe outbreak of the new Coronavirus Disease 2019 (COVID‐19) has spread and caused a public healthcare crisis. The habit of toothbrushing is the critical and fundamental measure for controlling the oral health. There has been no report on whether tooth brushing habit is associated with a risk of severity of COVID‐19 infection. We examined the association between toothbrushing habits and the severity of COVID‐19 infections.MethodsThe cross‐sectional data were used from the Japan COVID‐19 and Society Internet Survey (JACSIS), a large‐scale Internet survey conducted in 2022 (n = 32 000). If the severity of COVID‐19 infection worsens, hospital treatment or the respiratory ventilator treatment may be required. We examined whether daily toothbrushing is a factor on the suppression of the exacerbation of COVID‐19 infection.ResultsFrom all participants, 4756 people were diagnosed with SARS‐CoV‐2 infection. Multivariable logistic regression analysis showed that toothbrushing habit was a significant factor related to the severity of COVID‐19 infection.ConclusionDaily toothbrushing is a very important factor for preventing the exacerbation of COVID‐19 infection.
Influence of curing agent modified BN with different molecular structures on the heat conduction and electrical insulation property of epoxy composites
Authors: Zhang Wang , Zhang Tong , Wang Qingde , Zhao Baorui , Cao Xiaolong , Wang Jinkai , Liu Haixia , Wang Zhengdong 
Published: June 2024

AbstractBoron nitride (hBN) serves as an outstanding high‐performance polymer organic filler. However, its hexagonal crystal structure renders it chemically inert, thus limiting its applications. This study proposes the modification of hBN using economical amine and anhydride curing agents to reduce aggregation and enhance the heat conduction of epoxy resin. Specifically, the DETA curing agent and methyl tetrahydrophthalic anhydride (MTHPA) curing agent were grafted onto the hBN surface via ball milling and eco‐friendly water scrubbing processes. Subsequently, the modified functionalized BNNS were uniformly dispersed in epoxy resin via a wet process to form composite materials. Results indicate that both modified fillers maintain good dispersion at the epoxy interface. Compared to epoxy resin, the heat conduction of the EP/MTHPA‐BNNS composite material with 10 vol% loading increased by 212%. The EP/DETA‐BNNS composite exhibited a relative thermal conductivity enhancement of 191%. Moreover, both of materials demonstrated significantly improved thermal stability, with slightly reduced breakdown strength. Mechanical property testing revealed a maximum increase of 187.5% in fracture elongation.Highlights
Comprehensive study on curing agent modified hBN
High dispersion of BNNS after wet ball milling
Modified BNNS improves composite interface properties
The thermal conductivity increases twice under 10 wt% BNNS loading
Composite materials with outstanding electrical insulation and high fracture elongation
Evaluation of remote and in‐person instruction of a social‐emotional learning curriculum in a rural midwestern middle school: A case study
Authors: Hunter‐Mullis Kristina , Qing Catherine , Decker Kim Alexander 
Published: June 2024

AbstractRural adolescents are at a greater risk for substance abuse and other mental health challenges. There is a need for enhanced evidence‐based prevention efforts. This case study evaluated both remote and in‐person instruction of Second Step®, a social‐emotional learning (SEL) curriculum aimed to improve school‐based prevention efforts. Second Step® was implemented in a rural Midwestern middle school from Fall 2020 to Spring 2022. Pre‐ and post‐surveys were given to 7th grade (n = 233) and 8th grade (n = 146) students. To evaluate program implementation, t‐tests were conducted. Post‐survey scores were compared to evaluate remote versus in‐person learning. Seventh grade students showed significant improvement of self‐efficacy in overcoming obstacles, and this was expanded via in‐person instruction. Eighth grade students increased knowledge of identifying and disrupting bullying, and the goal‐setting unit showed more success taught via remote instruction. Second Step® shows promise in increasing self‐efficacy and knowledge of SEL topics. Exploratory results suggest both in‐person and remote implementation should be considered.
Digital inclusion and the internet of things: Convenience and the choice‐compulsion continuum
Authors: Frehill Lisa M. 
Published: June 2024

AbstractThe internet of things (IoT) holds forth much promise and peril. IoT promises to increase efficiencies needed to solve wicked problems like climate change. However, IoT may also reinforce existing problems such as social inequalities long associated with the digital divide. Research about the digital divide has evolved greatly over the past few decades and this article examines recent trends in the United States (U.S.) with particular attention on digital inclusivity associated with three digital divide pillars—digital infrastructure, digital devices, and digital literacy. More specifically, recent technological and policy trajectories as they relate to convenience and to a choice versus compulsion continuum (the “three C's”), are interrogated in terms of emergent U.S. IoT policy. The ways in which advanced industrial capitalism is served by the IoT, and its cousin the Industry IoT, provide further food for thought as the world plunges forward with convenient devices that have potential for solving pressing problems such as social inequality and climate change, yet at the same time may exacerbate such problems without thoughtful policy development around all three pillars of digital inclusion.
Ultralong‐lasting plasma‐activated water inhibits pathogens and improves plant disease resistance in soft rot‐infected hydroponic lettuce
Authors: Ran Congfu , Zhou Xiongfeng , Dong Pan , Liu Kun , Ostrikov Kostya (Ken) 
Published: June 2024

AbstractTo address the short lifetime of plasma‐activated water (PAW), this work reports on the application of ultralong‐lasting PAW for plant disease treatment. Compared with lettuce without ultralong‐lasting PAW treatment, the treated lettuce solution showed c. 1 log10 colony forming units mL−1 decrease in pathogens, as well as improvements in leaf area, leaf weight, root length, and root weight by 75%, 20%, 108.33%, and 150%, respectively. The leaf withering/root mortality rate of PAW‐treated plants was significantly lower than those of non‐PAW‐treated plants. Besides, disease defense‐related enzymes, such as catalase and β−1,3‐glucanase, were respectively enhanced by 112.5% and 5.13% in PAW‐treated lettuce, while the plant defense‐related genes were upregulated to respond to the pathogen's invasion.
Design and experimental evaluation of a variable pesticide application control system for the air‐assisted rubber tree powder sprayer
Authors: Wang Yong , Zhang Huiming , Fu Meng , Fu Wei , Wang Juan , Zhang Bin , Fu Yuxing , Zeng Tiwei 
Published: June 2024

AbstractBACKGROUNDIn order to address the issues of uneven pesticide deposition and low pesticide utilization in rubber gardens caused by the traditional diffuse plant protection spraying method, this study focuses on the air‐assisted powder sprayer and proposes a variable pesticide application control system. A variable pesticide application decision‐making model integrating the leaf area index (LAI) was designed based on powdery mildew control standards and individual rubber tree information. According to the target powder spraying accuracy requirements, a control model of the air velocity adjustment device was established and a fuzzy proportional‐integral‐differential (PID) air velocity control system was developed.RESULTSThe simulation results indicate that the wind speed control system exhibits a maximum overshoot of 2.18% and an average response time of 1.48 s. The field experiment conducted in a rubber plantation revealed that when the air‐assisted powder sprayer operates in the variable powder spraying mode, the average response time of the control system is 2.5 s. The control accuracy of each executive mechanism exceeded 95.9%. The deposition coefficient of variation (CV) at different canopy heights was relatively consistent, with values of 35.38%, 36.26% and 36.90%. In comparison to the quantitative mode, the variable mode showed a significant 20.03% increase in the effective utilization rate of sulfur powder.CONCLUSIONThese research findings provide valuable technical support for the advancement of mechanized variable powder spraying equipment in rubber tree cultivation. © 2024 Society of Chemical Industry.
Wolbachia affect female mate preference and offspring fitness in a parasitoid wasp
Authors: Amini Sara , Fathipour Yaghoub , Hoffmann Ary , Mehrabadi Mohammad 
Published: June 2024

AbstractBACKGROUNDWolbachia are widespread intracellular bacteria in insects that often have high rates of spread due to their impact on insect reproduction. These bacteria may also affect the mating behavior of their host with impacts on the fitness of host progeny. In this study, we investigated the impact of Wolbachia on a preference for mating with young or old males in the parasitoid wasp Habrobracon hebetor.RESULTSOur results showed that uninfected females from a tetracycline‐treated line preferred to mate with young males, whereas Wolbachia‐infected females had no preference. Time to mating was relatively shorter in the infected lines. Regardless of Wolbachia infection status, progeny resulting from matings with young males showed higher fitness than those from crosses with old males, and infected females crossed with infected young males showed the highest performance.CONCLUSIONThese results suggest an impact of Wolbachia on female mate preference and offspring fitness although it is unclear how this phenomenon increases Wolbachia transmission of infected wasps. © 2024 Society of Chemical Industry.
Direct parental CRISPR gene editing in the predatory bug Orius strigicollis, a biocontrol agent against small arthropods
Authors: Matsuda Naoki , Takahashi Momoyo , Shirai Yu , Hinomoto Norihide , Daimon Takaaki 
Published: June 2024

AbstractBACKGROUNDThe predatory flower bug Orius strigicollis serves as a valuable biocontrol agent against small arthropods; however, its effectiveness can vary, especially when population establishment fails due to low prey/pest densities. A promising approach to improve the efficacy of O. strigicollis as a biocontrol agent is through gene editing. However, as females lay their eggs in plant tissue, the conventional embryo injection approach is challenging in this species.RESULTSIn this study, we aimed to develop an efficient and practical gene editing technique for O. strigicollis using direct parental CRISPR (DIPA‐CRISPR). Female bugs at various postemergence stages received Cas9 ribonucleoprotein injections, with subsequent genotyping of their offspring (G0) using PCR and a heteroduplex mobility assay. We targeted the kynurenine 3‐monooxygenase gene (cinnabar), pivotal for insect ommochrome pigment biosynthesis. Through experimental optimization, we achieved a peak gene editing efficiency of 52%, i.e., 52% of G0 progeny carried gene‐edited alleles when injecting 1 day postemergence. Notably, some gene‐edited G0 adults exhibited a red‐eye mosaic phenotype, in contrast to the black‐eyed wild type. Crossing experiments confirmed the heritability of the introduced mutations in the subsequent generation (G1), enabling the establishment of a cinnabar‐knockout line with bright red eyes.CONCLUSIONWe demonstrate that our DIPA‐CRISPR gene editing method tailored for O. strigicollis is efficient and practical. Our findings highlight the potency of DIPA‐CRISPR as a tool for O. strigicollis genetic engineering and suggest broader applications for enhancing other biocontrol agents. © 2024 Society of Chemical Industry.
Overcoming barriers to sustainable development: Evaluating what information frameworks matter and how they work in reducing consumer food waste
Authors: Xu Ting , Mi Lingyun , Wang Xuejiao , Han Jiali , Qiao Lijie , Chen Hongwei , Jiang Yuchuan 
Published: June 2024

AbstractThe alarming food waste in restaurants exacerbates the deteriorating global food security crisis and hinders the achievement of sustainable development goals. What information interventions can restaurants provide to effectively reduce consumer food waste? This question remains unresolved. To this end, based on the extended Stimulus‐Organism‐Response (SOR) theory, this study conducted two experiments to investigate which information frameworks are more effective in reducing consumer food waste behavior (FWB) in restaurants and how these interventions trigger consumers' intrinsic psychological mechanisms. Study 1 (N = 643) found that feedback‐based information has a significantly greater inhibitory effect on FWB than prompt‐type information, with the strongest effect observed when feedback‐based and loss information are coupled. The results of Study 2 (N = 608) confirmed that anticipated guilt mediates the partial paths between information frameworks and FWB. Additionally, moral face consciousness moderates the relationship between anticipated guilt and FWB, whereby for individuals with a stronger moral face consciousness, the inhibition effect of anticipated guilt on FWB is greater. This study contributes to the current theory and literature, providing valuable recommendations for restaurant managers and policymakers on how to effectively utilize information interventions to reduce food waste, thereby mitigating the global food security crisis and promoting social sustainability.
Association of Frequent Intake of Trans Fatty Acids and Saturated Fatty Acids in Diets with Increased Susceptibility of Atopic Dermatitis Exacerbation in Young Chinese Adults: A Cross-Sectional Study in Singapore/Malaysia
Authors: Lim Jun Jie , Lim Sing Wei , Reginald Kavita , Say Yee-How , Liu Mei Hui , Chew Fook Tim 
Published: June 2024

Abstract

Background & Objective
Numerous evidence has attributed diets with a high fatty acids (FAs) intake to be associated with atopic dermatitis (AD) development. Therefore, this study investigated the association between intake frequencies of five dietary FAs and AD exacerbations among young Chinese adults from Singapore and Malaysia.

Methods
A validated International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire was investigator-administered to 13,561 subjects to collect information on socioeconomic, anthropometric, dietary and lifestyles habits, and personal/family medical histories. Six novel dietary indices were derived to analyse the associations between total FAs, trans fatty acids (TFAs), saturated fatty acids (SFAs), monounsaturated fatty acids, linoleic acids, and alpha-linolenic acids in diets and AD exacerbation. Synergy factor (SF) analysis was used to identify interactions between the dietary FAs to influence disease susceptibility.

Results
In our multivariable model adjusted for age, gender, BMI, parental eczema, and lifestyle factors, a diet high in total estimated FAs was strongly associated with AD (Adjusted Odds Ratio (AOR): 1.227; 95% Confidence Interval (CI): 1.054–1.429; adjusted p-value &lt;0.01). Particularly, high estimated total TFAs and SFAs were significantly associated with AD exacerbations including chronic and current moderate-to-severe AD. The association between TFAs and AD remained strong even controlled for the total FAs in diets and false discovery rate corrected (AOR: 1.516; 95% CI: 1.094–2.097; adjusted p-value &lt;0.05). Similarly, having a high SFAs in diets was associated with AD (AOR: 1.581; 95% CI: 1.106–2.256; adjusted p-value &lt;0.05) independently on the total FAs in diets. FAs in diets do not interact to influence AD.

Conclusion
Overall, these results highlighted an association between high dietary TFAs and SFAs and AD exacerbations in an Asian population.
ZIF‐67 Derived Co‐LDH Nanocubes for Oxygen Evolution Reaction
Authors: Chen Ying , Lv Zhangyi , Yuan Jinqiu , Bi Mingchun , Liang Yuning 
Published: June 2024

AbstractTo address the substantial energy needs of the quickly evolving modern civilization, efforts are still needed to provide sustainable renewable energy sources. The electrocatalytic Oxygen evolution reaction (OER) is one of the essential technologies used in the various hydrogen production techniques. ZIF‐67 nanocubes (ZIF‐67 NCs) were synthesized in an aqueous solution and used as sacrificial templates. Cobalt nitrate hexahydrate was added under water bath conditions, resulting in the evolution of numerous small layered layers of cobalt hydroxide. This ultimately led to the formation of multilayered, three‐dimensionally crosslinked Co‐LDH with a porous networked cubic morphology. Hydrolysis of Co2+ at different concentrations produces different degrees of weak acidic environments, and the loose LDH on the cubic structure of the best catalyst, Co‐LDH‐1, exposes more active cobalt sites for the OER, which results in a high electrochemically active surface area, with an overpotential of 354 mV and a Tafel slope of 79.06 mV dec−1 at a current density of 10 mA cm−2, and good stability and low activation under alkaline condition also has good stability and low activation energy. It provides us an easy and practical plan for logically creating ZIF‐derived hydroxide materials, leading to the development of affordable and effective electrocatalysts.
Lubricant‐Coated Organ‐on‐a‐Chip for Enhanced Precision in Preclinical Drug Testing
Authors: Kim Tae Young , Choi Jeong‐Won , Park Kijun , Kim SeungHwan , Kim Jeong F. , Park Tae‐Eun , Seo Jungmok 
Published: June 2024

AbstractIn drug discovery, human organ‐on‐a‐chip (organ chip) technology has emerged as an essential tool for preclinical testing, offering a realistic representation of human physiology, real‐time monitoring, and disease modeling. Polydimethylsiloxane (PDMS) is commonly used in organ chip fabrication owing to its biocompatibility, flexibility, transparency, and ability to replicate features down to the nanoscale. However, the porous nature of PDMS leads to unintended absorption of small molecules, critically affecting the drug response analysis. Addressing this challenge, the precision drug testing organ chip (PreD chip) is introduced, an innovative platform engineered to minimize small molecule absorption while facilitating cell culture. This chip features a PDMS microchannel wall coated with a perfluoropolyether‐based lubricant, providing slipperiness and antifouling properties. It also incorporates an ECM–coated semi‐porous membrane that supports robust multicellular cultures. The PreD chip demonstrates its outstanding antifouling properties and resistance to various biological fluids, small molecule drugs, and plasma proteins. In simulating the human gut barrier, the PreD chip demonstrates highly enhanced sensitivity in tests for dexamethasone toxicity and is highly effective in assessing drug transport across the human blood–brain barrier. These findings emphasize the potential of the PreD chip in advancing organ chip–based drug testing methodologies.