bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence and mechanism of sodium-glucose cotransporter-2 inhibitors on the cardiac function: study protocol for a prospective cohort study
Authors: Cao Min-Jia , Shi Fang-Hong , Yu Bin-Bin , Ma Xue-Chen , Zhang Chen , Xu Li , Jiang Yi-Hong , Ge Heng , Shen Long , Pu Jun 
Published: July 2023

BackgroundAcute myocardial infarction (AMI) poses a significant threat to cardiovascular diseases (CVDs), leading to a high risk of heart failure (HF) and cardiovascular death. Growing evidence has unveiled the potential of sodium-glucose cotransporter-2 (SGLT2) inhibitors to improve cardiovascular outcomes in patients with CVD regardless of diabetes, but there is limited evidence in AMI patients. Furthermore, it is controversial whether the effects can be ascribed to the amelioration of left ventricular (LV) function, which further complicates the understanding of their underlying mechanism.MethodsThis study is a prospective, phase IV, open-label, parallel group, single-center trial conducted in a large tertiary teaching hospital in China. A total of 120 patients with AMI and type 2 diabetes mellitus (T2DM) will be included. Those who received SGLT2 inhibitors are considered as the experimental group, and those taking other antidiabetic agents are considered as the control group. The primary outcome is change in LV end-systolic volume index (LVESVi) measured by cardiac magnetic resonance (CMR) imaging from baseline during 1-year follow-up period. Secondary outcomes include other LV parameters such as LV mass, LV volume, and LV ejection fraction (EF); quality of life and functional capacity such as Kansas City Cardiomyopathy Questionnaire overall summary score (KCCQ-OS) and EuroQol-5 dimension (EQ-5D); biomarkers associated with diagnostic parameters of AMI and possible mechanisms on cardiovascular protection, such as creatine kinase, troponin T (TnT) level, troponin I (TnI) level, soluble suppression of tumorigenicity-2 (sST2), galectin-3 (Gal-3), fibroblast growth factor 21 (FGF21), and microRNA (miRNA) level.DiscussionThis study aims to investigate whether SGLT2 inhibitors could improve LV function by measuring CMR, quality of life, and functional capacity in patients with AMI in real-world settings, providing evidence on the underlying mechanism of SGLT2 inhibitors on cardioprotection.Clinical trial registrationhttps://www.chictr.org.cn/showproj.html?proj=173672, identifier ChiCTR2200065792.
Unveiling the key genes, environmental toxins, and drug exposures in modulating the severity of ulcerative colitis: a comprehensive analysis
Authors: Wang Yao , Zhuang Hao , Jiang Xiao-han , Zou Rui-han , Wang Hai-yang , Fan Zhi-ning 
Published: July 2023

BackgroundAs yet, the genetic abnormalities involved in the exacerbation of Ulcerative colitis (UC) have not been adequately explored based on bioinformatic methods.Materials and methodsThe gene microarray data and clinical information were downloaded from Gene Expression Omnibus (GEO) repository. The scale-free gene co-expression networks were constructed by R package “WGCNA”. Gene enrichment analysis was performed via Metascape database. Differential expression analysis was performed using “Limma” R package. The “randomForest” packages in R was used to construct the random forest model. Unsupervised clustering analysis performed by “ConsensusClusterPlus”R package was utilized to identify different subtypes of UC patients. Heat map was established using the R package “pheatmap”. Diagnostic parameter capability was evaluated by ROC curve. The”XSum”packages in R was used to screen out small-molecule drugs for the exacerbation of UC based on cMap database. Molecular docking was performed with Schrodinger molecular docking software.ResultsVia WGCNA, a total 77 high Mayo score-associated genes specific in UC were identified. Subsequently, the 9 gene signatures of the exacerbation of UC was screened out by random forest algorithm and Limma analysis, including BGN,CHST15,CYYR1,GPR137B,GPR4,ITGA5,LILRB1,SLFN11 and ST3GAL2. The ROC curve suggested good predictive performance of the signatures for exacerbation of UC in both the training set and the validation set. We generated a novel genotyping scheme based on the 9 signatures. The percentage of patients achieved remission after 4 weeks intravenous corticosteroids (CS-IV) treatment was higher in cluster C1 than that in cluster C2 (54% vs. 27%, Chi-square test, p=0.02). Energy metabolism-associated signaling pathways were significantly up-regulated in cluster C1, including the oxidative phosphorylation, pentose and glucuronate interconversions and citrate cycle TCA cycle pathways. The cluster C2 had a significant higher level of CD4+ T cells. The”XSum”algorithm revealed that Exisulind has a therapeutic potential for UC. Exisulind showed a good binding affinity for GPR4, ST3GAL2 and LILRB1 protein with the docking glide scores of –7.400 kcal/mol, –7.191 kcal/mol and –6.721 kcal/mol, respectively.We also provided a comprehensive review of the environmental toxins and drug exposures that potentially impact the progression of UC.ConclusionUsing WGCNA and random forest algorithm, we identified 9 gene signatures of the exacerbation of UC. A novel genotyping scheme was constructed to predict the severity of UC and screen UC patients suitable for CS-IV treatment. Subsequently, we identified a small molecule drug (Exisulind) with potential therapeutic effects for UC. Thus, our study provided new ideas and materials for the personalized clinical treatment plans for patients with UC.
Supervised machine learning models for depression sentiment analysis
Authors: Obagbuwa Ibidun Christiana , Danster Samantha , Chibaya Onil Colin 
Published: July 2023

IntroductionGlobally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques to predict the level of depression earlier in social media users' posts.MethodsThe datasets used in this research were obtained from Twitter posts. Four machine learning models, namely extreme gradient boost (XGB) Classifier, Random Forest, Logistic Regression, and support vector machine (SVM), were employed for the prediction task.ResultsThe SVM and Logistic Regression models yielded the most accurate results when applied to the provided datasets. However, the Logistic Regression model exhibited a slightly higher level of accuracy compared to SVM. Importantly, the logistic regression model demonstrated the advantage of requiring less execution time.DiscussionThe findings of this study highlight the potential of utilizing machine learning models and sentiment analysis techniques for early detection of depression in social media users. The effectiveness of SVM and Logistic Regression models, with Logistic Regression being more efficient in terms of execution time, suggests their suitability for practical implementation in real-world scenarios.
دراسة تأثير المبيد الحشري( الكلوربيريفوس) على الحيوانات المنوية في الفئران البيضاء
Authors: عبد السميع زينب مختار 
Published: July 2023

استهدفت هذه الدراسة معرفة تأثير المبيد الحشري العضوي الكلوربيريفوس على الحيوانات المنوية في الفئران البيضاء حيث تم إعطائها جرعه واحدة من المبيد 1/30) LD50). 2مجم/كجم .عن طريق الفم بمعدل 20 فأر /جرعة . أوضحت النتائج وجود نقص معنوي ملحوظ في وزن الخصى مقارنة بالمجموعة الضابطة ، كما ثبت من نتائج تقييم الحيوانات المنوية عن وجود نقص معنوي في أعداد الحيوانات المنوية وفي معدل الحركة في المجموعة المعالجة مقارنة بالمجموعة الضابطة .أما الفحص الظاهري للحيوانات المنوية فقد كشفت الدراسة عن زيادة نسبة التشوهات الخلقية للحيوانات المنوية المأخوذة من البربخ حيث ظهرت أنواع متعددة من تشوهات في الرأس والذيل .
Case Study on Power Generation from Agrivoltaic System in India
Authors: Patel U. R. , Gadhiya G. A. , Chauhan P. M. 
Published: July 2023

This study evaluates the performance of a 7.2 kWp SPV power plant that was installed in the field of the REE department of the College of Agriculture Engineering and Technology, JAU, Junagadh (21.5 N, 70.1 E). According to the International Energy Agency (IEA), the SPV power plant's performance was evaluated. The power plant was properly observed for whole year. Average system efficiency, capacity factor, and overall performance ratio were found to be 80.83%, 16.03%, and 12.07% respectively during the experiment. Total 10104.77 kWh were produced during the experimental period. The performance of this Agrivoltaic system is produce equivalent solar power as it is from PV systems installed.
Management Policy for Oil and Gas Sector of Bojonegoro Regency Government in Kang Yoto Era
Authors: Danugroho Agus , Yusfira Fitria 
Published: July 2023

This study aims to understand policy strategies employed by the "Kang Yoto" Government in managing oil and gas sector and its implications for economic resilience of Bojonegoro Regency. The changes in economic resilience after being led by Regent Kang Yoto as well as its relation to management of oil and gas sector is an interesting topic to be investigated. Based on the VOSViewer software, there is a limited amount of analysis conducted on oil and gas management regulations. Therefore, this study employs policy-making theory within the decentralization framework using descriptive qualitative analysis with the assistance of NVIVO 12 Plus data software. The results show that the realization of economic resilience during Kang Yoto era is achieved through the issuance of Regional Regulation Number 23 of 2011. Furthermore, the transparency and accountability of the Local Government are identified as the main factors contributing to the increase in regional economy. This demonstrates the interconnectedness between oil and gas management, as well as the implemented regulations.Keywords: Bojonegoro Oil and Gas, Regional Autonomy, Economic Resilience, Kang Yoto Era
AbstrakKajian ini bertujuan untuk memahami strategi kebijakan yang dilakukan oleh Pemerintahan “Kang Yoto” dalam mengelola sektor migas dan implikasinya terhadap ketahanan ekonomi Kabupaten Bojonegoro. Perubahan ketahanan ekonomi setelah dipimpin oleh Bupati Kang Yoto serta kaitannya dengan pengelolaan sektor migas menjadi topik yang menarik untuk ditelaah. Berdasarkan perangkat lunak VOSViewer, terdapat sedikit analisis yang dilakukan terhadap peraturan pengelolaan minyak dan gas. Oleh karena itu, penelitian ini menggunakan teori pembuatan kebijakan dalam kerangka desentralisasi dengan menggunakan analisis kualitatif deskriptif dengan bantuan perangkat lunak data NVIVO 12 Plus. Hasil penelitian menunjukkan bahwa perwujudan ketahanan ekonomi pada era Kang Yoto dicapai melalui penerbitan Peraturan Daerah Nomor 23 Tahun 2011. Selanjutnya, transparansi dan akuntabilitas Pemerintah Daerah diidentifikasi sebagai faktor utama yang berkontribusi terhadap peningkatan perekonomian daerah. Hal ini menunjukkan keterkaitan antara pengelolaan migas, serta peraturan yang berlaku.Kata Kunci: Migas Bojonegoro, Otonomi Daerah, Ketahanan Ekonomi, Kang Yoto.
Revisiting Hole Injection in Quantum Dot Light‐Emitting Diodes
Authors: Lei Shiyun , Xiao Yuanyuan , Yu Kanglin , Xiao Biao , Wan Ming , Zou Liyong , You Qingliang , Yang Renqiang 
Published: July 2023

AbstractInjecting holes from the hole transport layer (HTL) into the quantum dot (QD) emitting layer in quantum dot light‐emitting diodes (QLEDs) is considered challenging due to the presence of a relatively high hole injection barrier at the HTL/QD interface. However, QLEDs with exceptional brightness and efficiency are achieved, prompting a reevaluation of the traditional hole injection mechanisms. This study examines the hole injection mechanism in QLEDs using a combination of experiments and simulations. The results demonstrate that the applied bias significantly reduces the barrier height between the highest occupied molecular orbital level of the HTL and the valence band (VB) of the QDs, facilitating hole injection. The bending of the lowest unoccupied molecular orbital energy level of the HTL at the HTL/QD interface confines electrons within the QD, effectively minimizing leakage current. Additionally, the triangle‐shaped potential barrier arising from the bending of the VB energy level of the QDs creates favorable conditions for hole–tunneling injection. Moreover, both simulations and experiments consistently demonstrate that the predominant pathway for hole injection from the HTL to the QDs in the QLED device involved thermally assisted tunneling. This study is important to understand the hole injection mechanism in QLEDs.
Impact of conversion surgery after chemotherapy in patients with initially unresectable and recurrent biliary tract cancer
Authors: Nakamura Ikuo , Hatano Etsuro , Baba Hideo , Kamei Keiko , Wada Hiroshi , Shimizu Junzo , Kanai Masashi , Yoshimura Kenichi , Nagano Hiroaki , Ioka Tatsuya 
Published: July 2023

AbstractPurposeGemcitabine, cisplatin, and S‐1 chemotherapy was superior to gemcitabine and cisplatin chemotherapy for progression‐free survival and overall survival for unresectable and recurrent biliary tract cancer in a randomized phase III trial (KHBO1401). This study aimed to evaluate the outcome of conversion surgery after chemotherapy in biliary tract cancer patients (ancillary study, KHBO1401‐3C).MethodsA total of 246 patients were enrolled in KHBO1401. We compared progression‐free and overall survivals between the conversion surgery and non‐conversion surgery groups.ResultsEight patients (3.3%) underwent conversion surgery with chemotherapy, seven of whom were diagnosed with unresectable disease and one with recurrence. Six and two patients received gemcitabine, cisplatin, and S‐1 chemotherapy as well as gemcitabine and cisplatin chemotherapy, respectively. Three patients in the conversion surgery group who received gemcitabine, cisplatin, and S‐1 chemotherapy showed no disease progression and survived without postoperative chemotherapy. Preoperative carbohydrate antigen 19‐9 (CA19‐9) level was a prognostic factor for conversion surgery. After correcting for immortal time bias, 1‐year progression‐free survival rates in the conversion surgery and non‐conversion surgery groups were 50.0% and 19.0%, respectively (hazard ratio 0.343, 95% confidence interval 0.286–0.843, p = 0.0092). One‐year overall survival rates in the conversion surgery and non‐conversion surgery groups were 87.5% and 56.0%, respectively (hazard ratio 0.222, 95% confidence interval 0.226–0.877, p = 0.0197).ConclusionsConversion surgery might be an option for the treatment of unresectable and recurrent biliary tract cancer in patients with normal preoperative CA19‐9 level.
Cleaner production of cellulose nanocrystals and calcium sulfate whiskers: Process design and life cycle assessment
Authors: Zhang Lei , Gao Xue , Huang Renliang , Cui Mei , Qi Wei , Su Rongxin 
Published: July 2023

AbstractThe commercialization of cellulose nanocrystals (CNCs) is currently limited by its environmental impact of high water consumption and brine wastewater generation. Here, a combined process integrating the production of CNCs and calcium sulfate whiskers (CSWs) was proposed to achieve complete utilization of the waste acid, and the corresponding environmental performance was evaluated by life cycle assessment (LCA). Accordingly, we prepared fibrous CSWs with an average length of 309 μm and an average aspect ratio of 57 under optimum conditions. The LCA results demonstrated the superior environmental performance of the combined process, especially for CNC production, and the impact values reduced by 45.6% on average. Moreover, the cost of producing 20 g of CNCs decreased from 3.04 CNY (traditional process) to 1.66 CNY (combined process). Therefore, this combined production process is eco‐efficient and economically scalable for the industrial production of CNCs.
Secular trends and spatial network effect on the height of Chinese adult adolescents from 1985 to 2019
Authors: Zhou Zhidong , Maimaiti Sigandan , Li Chengyue , Zang Liuhong 
Published: July 2023

AbstractObjectivesTo understand the distribution and secular trends of Chinese adult boys and girls and investigate their spatial network effects and determinants of spatial network effects.MethodsOur study extracted data of 18‐year‐old boys and 17‐year‐old girls in China from the national students fitness and health survey reports in 1985, 2000, 2010, and 2019. A total of 89 839 participants were selected. The growth range and growth rate in each period were calculated. A neighborhood relationship network was created to share the common boundary.ResultsDuring the period 1985–2019, the average height of Chinese 18‐year‐old boys increased from 168.19 to 172.14 cm, and that of 17‐year‐old girls increased from 156.97 to 160.17 cm (all p trend <.05). Both boys and girls showed significant correlations in first‐ and second‐level neighbors (all p < .05) with the most significant correlations in first‐level neighbors (all p < .001). But there were no significant correlations in third‐level neighbors. Height of girls and boys in each region was correlated with gross domestic product (GDP) per capita, urbanization rate, population density, longitude, and latitude. After controlling for factors with significance, only the initial regional height of girls in 2000 was positively correlated with first level neighborhood (p < .05).ConclusionSince 1985, the heights of Chinese boys aged 18 and girls aged 17 have been increasing and the increases accelerated. Height is related to nearer neighbors. After controlling GDP per capita, urbanization rate, population density, longitude and latitude, the correlations has almost disappeared.
Cationic Iridium‐Catalyzed Decarboxylation of Aromatic Carboxylic Acids
Authors: Nonami Reina , Kishino Yu , Yamasaki Tomokazu , Kanemoto Kazuya , Iwai Kento , Nishiwaki Nagatoshi , Shibatomi Kazutaka , Shirai Tomohiko 
Published: July 2023

AbstractPractical synthetic applications of catalytic decarboxylation in producing useful molecules are limited. We report herein the cationic Ir‐catalyzed decarboxylations of various electron‐rich and ‐poor aromatic carboxylic acids to produce hydrocarbons in good yield (up to >99%). Additionally, this reaction is applicable in decarboxylative hydroarylation of bicyclic alkenes and decarboxylative fluorination, indicating the potential utility of this catalytic decarboxylation in synthetic chemistry.
Has the Covid‐19 pandemic jeopardized firms' environmental behavior? Bridging green initiatives and firm value through the triple bottom line approach
Authors: Karman Agnieszka , Prokop Viktor , Giglio Carlo , Rehman Fazal Ur 
Published: July 2023

AbstractThe Covid‐19 pandemic has caused a significant decline in stock markets worldwide, and organizations are experiencing serious financial problems. Protecting and preserving firm value are critical ways to help organizations survive the crisis. This study analyzes a sample of 45 firms listed on the Polish Stock Market in two periods to determine the relationship among green initiatives, the triple bottom line (TBL) perspective, and firm value in the periods before and during the crisis caused by the Covid‐19 pandemic. The results show that firms with higher green initiatives are more likely to obtain better TBL performance during the normal period. Economic and social dimensions of TBL positively influence firm value regardless of the period, but the same is not true of the ecological dimension. The Covid‐19 pandemic's negative impact on investors' perception does not translate to firm value. This study provides the first empirical evidence on the value of organizations affected by the Covid‐19 pandemic in the context of environmental management. By considering the TBL approach, this study provides a new boundary condition that explains the impact mechanism of green initiatives during a crisis.
Adaptive σ aromaticity in the rhenacyclopropene rings
Authors: Deng Qianqian , Zhu Jun 
Published: July 2023

AbstractSpecies generally exhibit one‐state aromaticity either in the lowest singlet state (S0) or the lowest triplet state (T1) according to the Hückel's and Baird's rules. Hence, it is rare for species exhibit two‐state aromaticity in both the S0 and T1 states (termed as adaptive aromaticity), let alone adaptive σ aromaticity. Here, we report adaptive σ aromaticity in unsaturated rhenacyclopropene rings via density functional theory (DFT) calculations. Various aromaticity indices including NICS, ACID, EDDB together with isodesmic reactions support the adaptive σ aromaticity in these rhenacyclopropene rings. As the T1 state of these species is formed by the ππ* excitation, the σ‐aromaticity of these three‐membered rings in the S0 state could hold in the T1 state. In addition, the aromaticity effect of the fused rings is also examined. Our findings expand the family of adaptive σ aromaticity, enriching the metallaaromatic chemistry.
Deep learning‐based local SAR prediction using B1 maps and structural MRI of the head for parallel transmission at 7 T
Authors: Gokyar Sayim , Zhao Chenyang , Ma Samantha J. , Wang Danny J. J. 
Published: July 2023

AbstractPurposeTo predict subject‐specific local specific absorption rate (SAR) distributions of the human head for parallel transmission (pTx) systems at 7 T.Theory and methodsElectromagnetic energy deposition in tissues is nonuniform at 7 T, and interference patterns due to individual channels of pTx systems may result in increased local SAR values, which can only be estimated with very high safety margins. We proposed, designed, and demonstrated a multichannel 3D convolutional neural network (CNN) architecture to predict local SAR maps as well as peak‐spatial SAR (ps‐SAR) levels. We hypothesized that utilizing a three‐channel 3D CNN, in which each channel is fed by a map, a phase‐reversed map, and an MR image, would improve prediction accuracies and decrease uncertainties in the predictions. We generated 10 new head–neck body models, along with 389 3D pTx MRI data having different RF shim settings, with their B1 and local SAR maps to support efforts in this field.ResultsThe proposed three‐channel 3D CNN predicted ps‐SAR10g levels with an average overestimation error of 20%, which was better than the virtual observation points–based estimation error (i.e., 152% average overestimation). The proposed method decreased prediction uncertainties over 20% (i.e., 22.5%–17.7%) compared to other methods. A safety factor of 1.20 would be enough to avoid underestimations for the dataset generated in this work.ConclusionMultichannel 3D CNN networks can be promising in predicting local SAR values and perform predictions within a second, making them clinically useful as an alternative to virtual observation points–based methods.
Regulating the self‐assembly of AB/CD diblock copolymer blends via secondary interactions
Authors: Xie Jiayu , Lai Chi To , Shi An‐Chang 
Published: July 2023

AbstractDesigned multiblock copolymers with complex architectures offer unlimited opportunities to obtain novel nanostructured phases, however, their synthesis could be challenging and expensive. An alternative approach to access desired nanostructures is to use blends of block copolymers with simple chain architectures and designed block‐block interactions. We use binary blends composed of AB and CD diblock copolymers as a model system to establish design principles of polymeric blends containing block copolymers. Specifically, we explore the phase behavior of AB/CD blends by using the polymeric self‐consistent field theory to construct phase diagrams of the blends focusing on the sphere‐forming regions in the phase space. We predict the formation of various spherical packing phases composed of either core‐shell‐structured spheres or binary spheres resembling metallic alloys. We demonstrate that the equilibrium morphology can be regulated by adjusting the blend composition and molecular parameters such as block fractions, conformational asymmetry, and segment‐segment interactions. The strategy of using secondary interaction in polymeric blends to control the phase behavior explored in the current study can also be generalized to other soft matter systems.