bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global research trends and hotspots between pancreatic cancer and diabetes from2004 to 2024: A bibliometric analysis
Authors: Wang Yuxin , Xu Chenshan , Xu Yubo , Gu Weigang , Lu Lei , Jin Hangbin , Jin Zheng , Zhang Xiaofeng 
Published: April 2024

Abstract
Background
Pancreatic cancer is one of the malignant tumors of digestive tract. In recent years, more and more studies have shown that there is a close and complex relationship between diabetes and pancreatic cancer. However, there is no bibliometric analysis of pancreatic cancer and diabetes.
Methods
Literature on pancreatic cancer and diabetes was retrieved and downloaded from the Web of science (WoSCC) database between January 1, 2004 and March 6, 2024. Using Microsoft Excel2021, CiteSpace, VOSviewer, Bibliometrix Package, and the bibliometric online analysis tool (ww.bibliometric.com), we analyze published literature, countries, authors, institutions, journals, co-citations, and keywords to visualize research trends and hotspots.
Results
A total of 2264 articles meeting both inclusion and exclusion criteria were retrieved. The trend of publications has been fluctuating. The United States (= 816,36.04%), China (= 411,18.15%) and Japan (= 203,8.97%) are the top three countries with the highest number of published articles. There is close cooperation between European and American countries. NIH is the organization that publishes the most articles. CHARI ST (n = 41) was the most prolific author. CANCER RESEARCH is the most popular journal in this field."Early prediction of Pancreatic cancer" is the main research topic at present. "molecular mechanisms", "prediction" and "chemotherapy" are top keywords in recent years.
Conclusion
This study shows that the early prediction of pancreatic cancer is an important topic in the study of the association between pancreatic cancer and diabetes. There are few In-depth studies of molecular mechanisms between diabetes and pancreatic cancer, which will provide new insights .
Does Terminology Matter When Measuring Stigmatizing Attitudes About Weight? Validation of a Modified Attitudes Toward Obese Persons Scale
Authors: Martin-Wagar Caitlin A , Melcher Katelyn A , Attaway Sarah E , Bennett Brooke L , Thompson Connor J , Kronenberger Oscar , Penwell Taylor E 
Published: April 2024

Abstract

Commonly used medical terms like “obesity” and “overweight” have been identified as stigmatizing. Thus, this study sought to revise a commonly used measure of weight stigmatizing attitudes, the Attitudes Toward Obese Persons (ATOP) scale. We compared the original terminology in the ATOP (e.g., “obese”)to a modified version using neutral terms (e.g., “higher weight”). We randomized participants (N = 599) to either receive the original or modified ATOP and compared their scores. There was no significant difference between the scores of participants who received the original ATOP and the modified ATOP, t(597) = -2.46, p = .550. Through principal component analysis, we found the modified ATOP is best used as a 13-item unidimensional measure. Findings suggest a modified version of the ATOP with neutral language is suitable for assessing negative attitudes about higher-weight people without sacrificing psychometric properties. Further examination of the terminology used in weight stigma measures is needed to determine how to best assess weight stigma without reinforcing stigmatizing attitudes. The findings of the present study suggest that the use of neutral terms in measures of anti-fat bias is a promising solution that warrants further investigation.
Systematic comparison of genotype imputation strategies in aquaculture: a case study in Nile tilapia (Oreochromis niloticus) populations
Authors: Ye Shaopan , Zhou Xiyi , Lai Zhuojian , Ikhwanuddin Mhd , Ma Hongyu 
Published: April 2024

Abstract

Genotype imputation is an attractive approach to obtain whole genome sequencing (WGS) data at low cost. However, the availability of imputed WGS data was mainly depending on imputation accuracy. How to balance influencing factors to improve the imputation accuracy is highly necessary, especially in aquaculture. In the present study, we downloaded 361 whole genome re-sequencing data of Nile tilapia to construct different reference panel for genotype imputation and systematically determined the impact of several key factors on imputation accuracy, including the reference panel type, the haplotype phasing and imputation software, the reference panel size, the key individual selection strategies, and the composition of the combined reference panel. Results showed that the imputation accuracy has no significant difference (P = 0.3) using pre-phasing data obtained from Beagle5, Eagle2, and Shapeit4, but Beagle5 has the highest computational efficiency. But for imputation software, both Beagle5 and Impute5 were more suitable for combined and external reference panel with large reference size, and Minimac4 was suitable for internal reference panel, especially for small reference size. Furthermore, it would always improve the imputation accuracy increasing reference panel size, but larger reference size does not necessarily result in a higher imputation accuracy. When the number of external individuals increased from 5 to 250, the average imputation accuracy of combined reference panel was descending from 0.942 to 0.899 for Minimac4 but always higher than internal reference panel (0.866). Compared with minimizing the average distance to the closest leaf (ADCL) and randomly selecting individuals (RAN), it always had slightly higher accuracy using maximizing the expected genetic relationship (REL) method to select key individuals to construct internal reference panel for imputation. However, it has zero or negative growth on imputation accuracy when using selection strategies to select internal or external individuals to construct a combined reference panel for imputation. In conclusion, using a combined reference panel provided greater imputation accuracy, but the optimal genotype imputation strategy needs to balance the actual situation carefully and comprehensively. This work sheds light on how to design and execute genotype imputation in aquaculture.
Impact on export structure upgrading of China: Does "the Belt and Road Initiative" matter?
Authors: Wang Chenyu , Zhou Xiaowei , Huang Xin 
Published: April 2024

Abstract

This paper investigates the Belt and Road Initiative's effect on China's export structure upgrading using a country panel dataset from 2003 to 2017. The empirical strategy combines a propensity score matching procedure with a difference-in-difference estimator to address the potential selection bias inherent in the analysis. The results indicate that China's export structure upgrading was associated with the implementation of the Belt and Road Initiative. When taking the time lag into consideration, the initiative plays a positive role in export structure upgrading after 2015. In contrast, further analysis shows that China's exports to developing and transition countries along the Belt and Road routes have no export structure promotion effect.
“Chinese Worker in Russia Takes the Rifle”: Formation and Development of the Image
Authors: Авдашкин А.А. 
Published: April 2024

Статья посвящена изучению образа китайца-красноармейца на фронтах Гражданской войны в России. Внимание фокусируется на следующих ключевых сюжетах: создание образа, его постепенное «умолчание» в 1930-е гг. на фоне внутриполитических преобразований и обострения военно-политической ситуации на восточных рубежах, активное использование в условиях сближения СССР и КНР в 1950-е гг., переосмысление в современной России. Применение исторической имагологии как основного методологического подхода позволяет увидеть, как на примере китайцев, участвовавших в военных действиях, работали механизмы социальной инклюзии и эксклюзии. Источниковую базу составили материалы советской периодической печати, агитационные плакаты белого движения, произведения художественной литературы о Гражданской войне и современные российские киноленты, содержащие упоминания о китайцах в России того времени. Ключевой аргумент автора в том, что динамика репрезентации образа китайца красноармейца отражает амбивалентное отношение российского общества не только к китайским мигрантам, но и применительно к проблемам миграции в целом. В зависимости от состояния российско-китайских отношений и этапов присутствия китайцев в России происходит переосмысление образов «китайских красноармейских интернациональных отрядов».
The article is devoted to the formation and development of the image of the Chinese Red Army soldier on the fronts of the Civil War in Russia. The author's attention is focused on the following key subjects: the creation of the image, its gradual “silence” in the 1930s against the background of internal political transformations and the aggravation of the military-political situation on the eastern borders, active use in the context of rapprochement between the USSR and China in the 1950s, rethinking in modern Russia. The main methodological approach is historical imagology. This scientific approach allows us to see how the mechanisms of social inclusion and exclusion worked in the example of the Chinese. The source base consisted of materials from Soviet periodicals, propaganda posters of the white movement, works of fiction about the Civil War and modern Russian films. The author’s key argument is that the dynamics of representation of the image of a Chinese Red Army soldier reflects the ambivalent attitude of Russian society not only towards Chinese migrants, but also towards migration problems. Rethinking the images of the “Chinese Red Army international detachments” at a turning point in Russian history depends on the state of Russian-Chinese relations and the stages of the presence of the Chinese in Russia.
Acid curd (Karish) cheese supplemented with ashwagandha and/or probiotics: Modulatory efficiency on induced behavioral and neurochemical changes in rats
Authors: Salama Heba H. , Abdel-Wahhab Khaled G. , Khalil Heba M. A. , Abdelhamid Samy M. , Hassan Laila K. 
Published: April 2024

Neurodegenerative disorder leads to a progressive memory loss that has only limited known medications. The use of ashwagandha, probiotics, or their combination may improve cholinergic activity, consequently providing therapeutic potency against amnesia and neuroplasticity disorders. We aimed to explore the modulatory benefits of ashwagandha extract and probiotics against induced behavioral and neurochemical retardations.
Acid curd (Karish) cheese samples were supplemented with ashwagandha extract and/or probiotics and subjected to chemical, microbiological, rheological, sensorial, and biological investigations by standard techniques.
The supplementation of Karish cheese with ashwagandha never deteriorated its chemical composition or rheological parameters. On the contrary, it exerted high antioxidant and phenolic potentials. Also, ashwagandha extract performed antimicrobial action against the tested pathogenic bacteria and showed better prebiotic effects with Lactobacillus plantarum. The biological study revealed that treating dementia-modeled rats with Karish cheese supplemented with ashwagandha and/or probiotics resulted in a detectable improvement in the behavioral and neurochemical measurements. However, the cheese supplemented with a formula of ashwagandha and probiotics had the greatest regenerating effect.
The supplementation of Karish cheese with ashwagandha and/or probiotics exhibited a modulatory efficiency against experimentally induced behavioral and neurochemical disorders.
Operational effect of green roof systems with a modified substrate adding soda residue soil
Authors: Wang Huiteng , Luo Hui , Yang Jing , Qin Teng , Chen Limin , Yang Mingyu , He Bao-Jie 
Published: April 2024

ABSTRACT

To investigate whether soda residue soil could be used as a green roof substrate, this paper setup six green roof systems with four materials (peat soil, coconut bran, perlite, and soda residue soil) mixed in different volume proportions. The effect of soda residue soil content on Sedum lineare growth and pollutant removal from the stormwater runoff was analyzed and the runoff quality index (RQI) was calculated. Results showed that the relative growth rate of S. lineare height in system B with 10% soda residue soil was about 21.5–53.2% higher than the other systems. The outflow of system B with 10% soda residue soil had the lowest mass concentration of NH4+-N and TN, which were 2.2 and 3.2 mg/L, respectively. The average repetitive rainfall retention rate of system A without soda residue soil was the lowest at 82.6%. System B had the highest RQI at about 0.71. It confirmed that soda residue soil can be a material with practical application value, and when the volume ratio of peat soil, coconut bran, perlite, and soda residue soil was 4:3:2:1, the green roof would have the best performance in regulating and purifying the initial rainwater runoff.
Development of a user-friendly hydraulic model for simulating hybrid water distribution networks: a transition toward sector sustainability
Authors: Obura Denis , Nabifo Vivian , Akamushaba Obed , Apiny Immaculate , Dadebo Derrick 
Published: April 2024

ABSTRACT

The conventional computational approach for modeling and simulating drinking water distribution networks (WDNs) is time-consuming and prone to human errors. Therefore, this study developed and implemented a hydraulic modeling tool, the ‘Kyema-Net model’, based on the modified Hardy Cross algorithm in Visual Basic, to simulate a hybrid WDN with the inclusion of pipe cost assessment. The model's accuracy was validated by comparing its outputs with those of EPANET 2.2 software. The Kyema-Net model and EPANET 2.2 simulation results were comparable. Considering the WDN case study, the proposed model initialized nodal inflows in proportions of 60 and 40% for any two pipes exiting the node, reducing the computational steps. The model executed three trials to achieve the final solution against four trials for EPANET 2.2. The mean absolute percentage error, coefficient of determination (R2), and root mean square error metrics for flow velocity were ∼0.00%, 1.00, and ∼0.00 m, respectively. The modified resilience index values ranged between 0.30 and 1.09. Implementing the proposed hydraulic modeling tool in designing and/or rehabilitating WDNs demonstrated compliance with numerous social-, economic-, and technological-related Sustainable Development Goals. This would assist various water sector stakeholders in the sustainable planning, operation, and management of WDNS globally.
Neuroimaging Marker-CT Perfusion of Early Neurological Deterioration
in Patients with Minor Stroke and Large Vessel Occlusion after Intravenous
Thrombolysis
Authors: Zhang Hongli , Bao Wanli , Yu Meiyan , Li Xiang , Gui Yongkun , Cui Hongkai , Zhang Ping 
Published: April 2024

Objective:
Early Neurological Deterioration (END) is one of the complications in
Acute ischemic stroke (AIS) and relates to prognosis. However, the reason why it occurs is still
unclear. Our study is to investigate if CT perfusion (CTP) can predict END in patients with Minor
Stroke and Large Vessel Occlusion after Intravenous Thrombolysis (IVT).

Methods:
Patients who underwent IVT with Large Vessel Occlusion were enrolled continuously
from January 2021 to August 2023. After evaluating the National Institutes of Health Stroke
Scale (NIHSS) score, they were divided into the END group (n=21) and the Non-END group
(n=20). Multivariate logistic regression analysis was performed to explore the factors of END.
Receiver-operating characteristic (ROC) curve analysis was also used to assess the discriminative
ability of CTP in predicting END.

Results:
A total of 41 patients (mean age, 62.34 ± 10.82 years, 27 male) were finally included in
the analysis; 21 patients had END, and 9 patients underwent Endovascular thrombectomy
(EVT). Multivariate logistic regression analysis indicated that rCBV (OR=0.081, 95%CI=0.009-
0.721, p = 0.024) and admission-NIHSS (OR=1.990, 95%CI=1.049-3.772, p = 0.035) were significantly
associated with END. The area under the curve (AUC) of rCBV and NIHSS to discriminate
END were 0.708 and 0.758. We found patients with END had a higher modified Rankin
Scale (mRS) in 3 months.

Conclusions:
The rCBV and NIHSS were associated with post-thrombolysis END and may become
reliable markers to predicate END. END might predict a poor 3-month functional outcome.
Modulation of Solid-state Thermal Reaction of Iron(III)Citrate by a
Co-precursor Studied using Thermogravimetry: Evaluation of Kinetic and
Thermodynamic Parameters and Nucleation Rate
Authors: Kundu Sani , Chakraborty Manisha , Bhattacharjee Ashis 
Published: April 2024

Background:
Solid state reaction of iron(III)citrate leads to a range of ironbased
oxides by varying the reaction conditions, e.g., the presence of co-precursor. The
influence of reaction conditions on the kinetics of the solid-state reaction of
iron(III)citrate needs to be investigated.

Objective:
Kinetic analysis of the solid-state reaction of iron(III)citrate in the presence of
a co-precursor has been explored to realize the influences of the co-precursor on the reaction
process as well as decomposed material.

Method::
Non-isothermal thermogravimetry profiles are deconvoluted to individual reaction
steps. The model-free kinetic methodology is utilized to estimate step-wise activation
energy and, hence, the reaction mechanism along with the reaction rate. Conversiondependent
thermodynamic parameters and nucleation rate are estimated. XRD analysis
has been used to characterize the decomposed material.

Results:
Thermogravimetry profiles obtained for an iron(III)citrate and malonic acid
mixture are deconvoluted into six steps. The decomposed nanomaterial is identified as
magnetite (size 10 nm). The observed reaction mechanisms associated with each step are
different, where the activation/reaction rate is conversion-dependent. A good fit between
the experimental and reverse-constructed conversion profiles is obtained. The nucleation
rate at higher temperatures is affected by both the extent of conversion and the heating
rate. A possible reaction pathway is proposed. The study elucidates the role of malonic
acid as a co-precursor in modifying the thermal reaction of iron(III)citrate and product
formation.

Conclusion:
This investigation proposes the applicability of suitable co-precursors as a
potential controlling factor for preparing iron oxides from iron-based compounds.
SVM-PSO Algorithm for Tweet Sentiment Analysis #BesokSenin
Authors: Susanto Anggita Dewi Novia Wardhani , Hari Suparwito  
Published: April 2024

The hashtag #BesokSenin is a hashtag that is often trending on Indonesian Twitter on Sunday evenings. Many Indonesian Twitter users expressed their feelings about welcoming Monday using the hashtag #BesokSenin. The tweet containing #BesokSenin is known to be a motivational sentence to welcome Monday full of joy or a disappointed sentence because you have to return to your routine after taking a holiday on Saturday and Sunday. This study conducts sentiment analysis to find out the opinions of netizens on welcoming Mondays. The tweet data used is tweet data with the hashtag #BesokSenin and the keywords school, work, assignments, and college. The classification method used is the Support Vector Machine algorithm, which is optimized using the Particle Swarm Optimization method to optimize the performance of the Support Vector Machine algorithm. Results of 80% accuracy were obtained by applying the Support Vector Machine model based on Particle Swarm Optimization. This accuracy is superior to 1% compared to the results of accuracy using the usual Support Vector Machine model, which equals 79%. This shows that Particle Swarm Optimization can optimize the accuracy of the Support Vector Machine algorithm.
Intelligent Prediction and Detection of Diabetes Mellitus Using Machine Learning
Authors: Handoko Slamet , Sukamto  , Triyono Liliek , Hestiningsih Idhawati , Sato-Shimokarawa Eri , Lavindi Eri Eli 
Published: April 2024

One of the diseases with a fairly high number of sufferers today is Diabetes Mellitus. The increase in the number of people with diabetes is caused by delays in diagnosis and also difficulties in monitoring the blood sugar level. Therefore, a solution is needed to overcome this problem, namely a blood sugar level monitoring system to predict and detect. The blood sugar level monitoring system is an intelligent system that can monitor blood sugar levels in Diabetes Mellitus patients. This system aims to make it easier for patients to check blood sugar levels regularly, to minimize the occurrence of increased blood sugar levels that aggravate the disease. Moreover, machine learning algorithms are a viable method used in recent studies for analyzing, predicting, and classifying health data while improving the health conditions of telemonitoring and telediagnosis. The main purpose of this article is to employ machine learning algorithms for blood sugar level classification in real time. The results of this study indicate that the system can be used to monitor blood sugar levels. The results of the implementation of the system that can be used by users include monitoring the results of measuring blood sugar levels.
Keywords: Monitoring Machine Learning, Prediction, Diabetes Mellitus, Data Mining
Structural elements of grain yield in triticale (х Triticosecale Wittmack) grown under organic farming conditions
Authors: Dochev Veselin Yordanov , Atanasov Atanas Zdravkov 
Published: April 2024

Abstract
During the period 2018-2020 in the experimental field of the Agricultural Institute, Shumen, on calcic chernozem soil type, a field experiment with triticale (x Triticosecale Wittmack) was conducted. The experiment was based on the block method, in four replications with a size of the experimental plot of 10 m2. Sowing was carried out in October with a sowing rate of 500 germinate able seeds/m2 after the predecessor sugar beet (Beta vulgaris L.). In the appropriate periods treatments were made in 4 variants: 1) Control-untreated variant. 2) Treatment with biodynamic preparations: Preparation 500 (5% solution) + Fladen preparation (1.5% solution) + preparation 501 (1.5 g for 300 l H2O/ha). 3) Treatment with biological preparations: Heliosulfur (500 ml/ha) + Free N (500 ml/ha). 4) Combined treatment with the same biodynamic and biological preparations. The following indicators were studied: plant height, number of spikelet’s per spike, number of grains per spike, grain weight per spike. After the statistical analysis for the first year of the study, a proven positive difference was found in all indicators in the combined biodynamic + biological method of cultivation, as well as in the stand-alone biological. In the second year of the study, a proven positive difference was obtained in all studied indicators in the variants treated with biodynamic preparations and the combination of biodynamic + biological preparations, with statistical significance for p<0.001. A positive correlation was found between all variants of the observed indicators at p<0.05.
Stability and reliability analysis for broadband current array sensing system applied to GIS
Authors: Du Fei , Yu Hao , Yuan Shuai , Bi Jiangang , Fu Dehui 
Published: April 2024

Abstract
In order to further improve the defect detection capability of gas insulated switchgear and avoid equipment faults, broadband current array sensing system is designed to simultaneously monitor the system status such as partial discharge, relative dielectric loss, and power frequency overvoltage. The dynamic model of the system is analysed, and based on which, the system state equation is obtained meanwhile fault observer is designed, and the system stability criterion under H
∞ condition is calculated. The reliability of the system under different packet loss rates is verified based on cloud models, and the principle of using appropriate electromagnetic compatibility to prevent packet loss rates below 50% is proposed.