bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exosomes Mediate the Production of Oxaliplatin Resistance and Affect Biological Behaviors of Colon Cancer Cell Lines
Authors: Ye Yanwei , Li Yingze , Wu Chu , Shan Yiming , Li Jie , Jiang Dongbao , Li Jingjing , Han Chao , Liu Dongdong , Zhao Chunlin 
Published: July 2024

Background:
Colon cancer has high mortality rate which making it one of the leading
causes of cancer deaths. Oxaliplatin is a common chemotherapeutic drug, but it has disadvantages
such as drug resistance.

Objective:
The purpose of this study is to explore the mechanism of exosomes in the resistance of
oxaliplatin and verify whether elemene and STAT3 inhibitors reverse the resistance to oxaliplatin.

Methods:
Related cell line models were constructed and the proliferation, migration, invasion,
apoptosis and resistance to oxaliplatin were evaluated for all three cells of HCT116/L, sensitive
cell HCT116 and HCT116+HCT116/L-exosomes (HCT116-exo). It was to explore probable signaling
pathways and mechanisms by Western blotting.

Results:
HCT116-exo drug-resistant chimeric cells showed greater capacity for proliferation, migration
and invasion than HCT116 sensitive cells. After the above cells were treated with oxaliplatin,
the apoptosis rate of chimeric drug-resistant cells HCT116-exo and its IC50 increased compared
with the sensitive cells HCT116. The proliferation, invasion and migration of cells treated
with STAT3 inhibitor or β-elemene combined with oxaliplatin reduced compared with those treated
with oxaliplatin or β-elemene alone. The STAT3 inhibitor or β-elemene in combination with
oxaliplatin increased the rate of apoptosis relative to oxaliplatin or β-elemene alone. Drug-resistant
cell exosomes could promote the EMT process, related to the participation of FGFR4,
SHMT2 and STAT3 inhibitors.

Conclusion:
Drug-resistant cell exosomes could induce resistance, and improve the capacity of
colon cancer towards proliferate, invade, migrate and promote the EMT process. The β-elemene
combined with oxaliplatin could reverse the above results which might be related to the STAT3
pathway and EMT pathway in colon cancer.
Green Synthesis and Anticancer Activity of New Bis-imidazole-thiazole Hybrids Targeting Hepatocellular Carcinoma
Authors: Al-Humaidi Jehan Y. , Gomha Sobhi M. , Albedair Lamia A. , Zaki Magdi E. A. , Mukhrish Yousef E. , Mohamed Mahmoud A. 
Published: July 2024

Background:
Given the inadequacies of current chemotherapy, there is a need for more effective anticancer agents. Imidazole and thiazole compounds have demonstrated significant biological activity, making them promising candidates

Aims and Objective:
This study investigates the anticancer potential of imidazole and thiazole derivatives, focusing on liver cancer. The aim is to synthesize bis-imidazole-thiazole hybrids and evaluate their efficacy as anticancer agents against hepatocellular carcinoma.

Methods:
The hybrids were synthesized using (2,2'-((1,4-phenylenebis(2-mercapto-4-methyl-1H-imidazole-1,5-diyl))bis(ethan-1-yl-1-ylidene))bis(hydrazine-1-carbothioamide), hydrazonoyl halides, and α-halo ketones, catalyzed by DABCO. This method is designed to be fast, yield high amounts of product, and be environmentally friendly. Structural confirmation was provided by FT IR, NMR, and MS spectroscopy.

Results:
The synthesized hybrids were tested in vitro against HepG-2 and WI-38 cell lines. Compounds 16b, 14a, 16a, and 7b showed significant inhibitory activity, with IC50 values indicating strong inhibition comparable to or better than the standard drug Sorafenib.

Conclusion:
The bis-imidazole-thiazole hybrids exhibit potent anticancer properties, particularly against hepatocellular carcinoma, making them potential candidates for future cancer therapies. Their selectivity and safety were further demonstrated by their effects on normal WI-38 human fibroblasts.
Study on Integrated Systems for Enhanced Forest Fire Prevention: An Embedded Intelligent Video Analysis and Collaborative IoT–Fog–Cloud Framework Approach
Authors: Mehta Kaushal , Sharma Sachin 
Published: July 2024

Introduction:
Forest fires have been a major hazard to forest management, needing
sophisticated monitoring and management techniques. By creating an embedded intelligent video
analysis system, this research proposed a complete strategy for addressing this difficulty.

Method:
The system's hardware architecture was explained, and the operating system software
was detailed, using a software and hardware design based on the ZynqSoC. At the same time, an
emphasis on forest fire prevention applications was maintained. Furthermore, the study investigated
a unique technique for forest fire detection using Arduino as a field data collector and a
fuzzy logic algorithm to improve accuracy.

Results:
The proposed IoT-Fog-Cloud collaboration infrastructure offered a patented contribution
to real-time wildfire monitoring, prediction, and forecasting. The framework achieved excellent
accuracy in determining wildfire proneness levels and real-time alert production by utilizing
fuzzy K-nearest-neighbor classification and Holt-Winter's forecasting model.

Conclusion:
The findings demonstrated the integrated system's ability to reduce the impact of
wildfires, serving as a significant reference for future forest fire prevention scenarios.
Comparative Study of Machining Parameters of Single and Double Cutting Tools During Turning of AISI 1045 Steel
Authors: Hirpa Atomsa Demiso , Gutema Endalkachew Mosisa , Lemu Hirpa G. , Gopal Mahesh 
Published: July 2024

Background:
The patent of cutting operations is carried out with a cutting tool that is fed
parallel to or at right angles to the work axis. The main objective of this study is to minimize surface
roughness and MRR.

Objective:
The effect of cutting parameters on surface roughness and material removal rate is investigated
using AISI 1045 steel as a workpiece material, and single and double carbide cutting tools are
used under dry machining conditions.

Methods:
The cutting speed, feed rate, and depth of cut are considered input parameters for experimental
purposes. Taguchi L9 orthogonal array design of experiments is used for designing the experiments.
Parameters are optimized using Taguchi L9 orthogonal design of experiments and Analysis
of Variance (ANOVA). MINITAB 17 software is used to solve the coefficients of the regression
model.

Results:
The result indicates that the cutting speed was the most significant influencing factor that
affects the surface roughness, followed by feed rate and depth of cut for both single and doublecutting
tools.

Conclusion:
The minimum surface finish for the best cutting parameter was 0.95 μm for a single and
0.92 μm for a double-turning tool. The highest material removal rates for single and double turning
were 6456 mm3/min and 6603 mm3/min. The result shows that while using double tools, the rate of
material removal rate increased and the machining time decreased.
Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study
Authors: Aljamaan Fadi , Temsah Mohamad-Hani , Altamimi Ibraheem , Al-Eyadhy Ayman , Jamal Amr , Alhasan Khalid , Mesallam Tamer A , Farahat Mohamed , Malki Khalid H 
Published: July 2024

Background
Artificial intelligence (AI) chatbots have recently gained use in medical practice by health care practitioners. Interestingly, the output of these AI chatbots was found to have varying degrees of hallucination in content and references. Such hallucinations generate doubts about their output and their implementation.

Objective
The aim of our study was to propose a reference hallucination score (RHS) to evaluate the authenticity of AI chatbots’ citations.

Methods
Six AI chatbots were challenged with the same 10 medical prompts, requesting 10 references per prompt. The RHS is composed of 6 bibliographic items and the reference’s relevance to prompts’ keywords. RHS was calculated for each reference, prompt, and type of prompt (basic vs complex). The average RHS was calculated for each AI chatbot and compared across the different types of prompts and AI chatbots.

Results
Bard failed to generate any references. ChatGPT 3.5 and Bing generated the highest RHS (score=11), while Elicit and SciSpace generated the lowest RHS (score=1), and Perplexity generated a middle RHS (score=7). The highest degree of hallucination was observed for reference relevancy to the prompt keywords (308/500, 61.6%), while the lowest was for reference titles (169/500, 33.8%). ChatGPT and Bing had comparable RHS (β coefficient=–0.069; P=.32), while Perplexity had significantly lower RHS than ChatGPT (β coefficient=–0.345; P<.001). AI chatbots generally had significantly higher RHS when prompted with scenarios or complex format prompts (β coefficient=0.486; P<.001).

Conclusions
The variation in RHS underscores the necessity for a robust reference evaluation tool to improve the authenticity of AI chatbots. Further, the variations highlight the importance of verifying their output and citations. Elicit and SciSpace had negligible hallucination, while ChatGPT and Bing had critical hallucination levels. The proposed AI chatbots’ RHS could contribute to ongoing efforts to enhance AI’s general reliability in medical research.
An Insight of TiO2 and Spent Bleaching Earth (SBE) Effect of Phase Crystalline Structures for PVDF Hollow Fiber Membrane
Authors: Ghani Rhafiq Abdul , Elma Muthia , Rahma Aulia , Wahyu Wahyu 
Published: July 2024

Abstract: Polyvinylidene fluoride (PVDF) hollow fiber membranes have excellent mechanical properties and chemical stability. However, their hydrophobicity can lead to fouling and hinder permeability. Modifying this hydrophobicity is challenging due to PVDF's complex polymorphous structures, with the β-phase offering superior fouling resistance. One approach to improve PVDF hollow fiber membranes is the addition of inorganic additive materials to reduce hydrophobicity. The objective of this study is to offer new insights into the preparation of PVDF hollow fiber membranes using wet spinning with various additives, such as TiO2 and SBE. The investigation focused on the functional groups of PVDF in both the α and β phases. The membrane was fabricated using regenerated SBE and TiO2, which were incorporated through dope solution preparation and phase inversion through a wet spinning technique. The study used the Fourier Transform Infrared (FTIR) technique to characterize the PVDF hollow fiber membranes. The study found that the PVDF hollow fiber membranes exhibit differences in α and β phase crystalline structures when combined with various additives. The addition of SBE to PVDF hollow fiber membranes results in a dominant β-phase crystalline structure, as indicated by the relative fraction of 0.70 and the largest peak area of 2.27. This has successfully improved the hydrophilic properties of the PVDF-SBE hollow fiber membrane.Abstrak: Membran hollow fiber polyvinylidene fluoride (PVDF) memiliki sifat mekanik dan stabilitas kimia yang sangat baik. Namun, sifat hidrofobiknya dapat menyebabkan fouling dan menurunkan permeabilitas membran. Oleh karena itu memodifikasi sifat hidrofobisitas ini cukup menantang karena struktur polimorf PVDF yang kompleks, terutama dengan keberadaan fase β yang memberikan ketahanan terhadap fouling. Salah satu pendekatan yang dapat dilakukan untuk meningkatkan membran hollow fiber PVDF adalah dengan penambahan bahan aditif anorganik untuk mengurangi hidrofobisitas. Tujuan dari penelitian ini adalah untuk menguak wawasan baru dalam pembuatan membran serat berongga PVDF menggunakan wet spinning dengan berbagai aditif, seperti TiO2 dan SBE. Investigasi difokuskan pada gugus fungsional PVDF berupa fase α dan β. Membran dibuat dengan menggunakan TiO2 dan SBE regenerasi, yang dibuat melalui pembuatan larutan dope dan inversi fasa melalui metode wet spinning. Penelitian ini menggunakan teknik Fourier Transform Infrared (FTIR) untuk mengkarakterisasi membran serat berongga PVDF. Penelitian ini menemukan bahwa membran serat berongga PVDF menunjukkan perbedaan struktur kristal fase α dan β ketika dikombinasikan dengan berbagai aditif. Penambahan SBE pada membran serat berongga PVDF menghasilkan struktur kristal fase β yang dominan, seperti yang ditunjukkan oleh fraksi relatif 0,70 dan area puncak terbesar 2,27. Hal ini telah berhasil meningkatkan sifat hidrofilik membran serat berongga PVDF-SBE.
Interaction and intercultural communication competence of Banten students at University of Lampung
Authors: Kartika Tina , Ashaf Abdul Firman , Aryanti Nina Yudha , Wardhany Andy Corry , Aprilia Alfaynie Axelfa Trie 
Published: July 2024

Background: The study examines intercultural communication competence of Banten students at the University of Lampung. In this context, the field of intercultural communication describes student participation in regular interactions in cognitive, affective, and behavioral terms. This is important because a strong understanding of intercultural communication serves as the foundation for students’ professional development at the University of Lampung. Purpose: The goals of this study are to: 1) Identify the cognitive component of intercultural communication among Banten students at the University of Lampung. 2) Identify the affective component of intercultural communication among Banten students at the University of Lampung. 3) Identify the behavioral component of intercultural communication among Banten students at the University of Lampung. 4) Develop a model of intercultural communication proficiency for Banten students at the University of Lampung. Methods: The study used informant interviews as data sources for qualitative research. The research informant included 70 students from the University of Lampung who were members of the Banten student association. The analysis process consisted of three steps: 1) Data collection, 2) Data reduction, and 3) Data presentation, which involved compiling facts used to guide decisions and actions. Results: The intercultural communication among Bantent students at the University of Lampung encompassess cognitive, affective, and behavioral aspects. Implications: Banten students at the University of Lampung can serve as an example for newcomers on how to maintain cultural distinctiveness across different regions by leveraging their cognitive, affective, and behavioral expertise in cross-cultural communication.
Cell growth monitoring in a tetrapolar electrode configuration
Authors: Singh Jagbir , Khambete Niranjan D. 
Published: July 2024

Abstract
There are various methods for cell growth monitoring. However, most of these methods have drawbacks, such as being invasive, not providing real-time results, or being costly. In this study, we present an alternate method of cell growth monitoring, which is low-cost, non-invasive, real-time, and uses Electrical Impedance Spectro-scopy (EIS). In this work, commercially available culture plates were fitted with custom tetrapolar electrodes, and mouse cells were cultured on them. The variation of culture media impedance, resulting from cell growth, proliferation and other metabolic activities, was recorded over a period of seven days. The results demonstrated an initial increase in impedance corresponding with the cell growth phase, followed by a decrease during the cell death (apoptosis) phase, as confirmed by microscope images. Overall, the results show that our method to monitor cell growth using tetrapolar electrodes is promising and can be further refined for related applications.
Determination of Hydrography Elements Using Image Interpretation and Processing Techniques
Authors: Glonţ Cristiana , Filip Larisa Ofelia 
Published: July 2024

Abstract
Determining the geometric elements required for the probabilistic calculation of flood bands for watercourses within a hydrographical basin can be achieved by extracting information from remote sensing digital recordings. Given the increasing frequency of extreme hydrological phenomena, the use of data obtained through aerial remote sensing offers the advantage of rapidly determining the geometric characteristics needed to generate profiles for the probabilistic calculation of flood bands for all watercourses within a hydrographical basin.
The Impact of Structural Transformation on Global Value Chains in the MENA Countries
Authors: Frikha Nihel , Gabsi Foued Badr 
Published: July 2024

Abstract
Several studies on economic transition propose that structural change in developing countries, that involves reallocating from less productive to more productive sectors, might enhance participation in global value chains (GVCs). However, there is a lack of empirical work on this claim. This study explores the factors affecting global value chain (GVC) participation in the Middle East and North Africa (MENA) region while considering structural transformation from 2000 to 2018. By applying the system GMM empirical research method, we found that structural change significantly contributes to facilitating the position of MENA economies under consideration. Specifically, the service and industry sectors play pivotal roles in these countries. This study also postulates that if we want to strengthen the participation of companies in GVCs, access to the internet, and a high level of education tertiary are necessary Also, environment and policies conducive to investment and direct investment abroad are important. The study posits positive commercial and financial links, and population size as important factors in promoting this position.
The Competitiveness of Financial Support Measures in the Context of the Pandemic
Authors: Dinu Mihai , Mănescu Cătalin Octavian , Spiridon Carmen Elena , Mogoş Liliana , Ganea Otilia 
Published: July 2024

Abstract
This article starts from the empirical study of economic and social policies at the European level and has as its main purpose the determination of some solutions to simplify and implement them in favor of the data analysis was essential to see the progress in accessing these measures during the pandemic period to provide conclusions regarding the level of contribution of these aids and how they were or were not distributed depending on the situation in the territory. The present research did not discuss overall evaluation/impact, as the period of implementation and reporting of these types of aid was concurrent. We can consider that the measures for granting financial support from non-reimbursable external funds, related to the Competitiveness Operational Program 2014–2020, in the context of the crisis caused by COVID-19, although effective from the perspective of the expenses incurred, were not effective in covering the demand, especially in the regions considered more developed. Our findings are useful for policymakers such as managers and investors and can help them make the best decision for their managing or investing activities. Moreover, governments need to know how companies respond to the pandemic to identify the sectors of activity that are more vulnerable to the crisis’ effects and the main financial management decisions that must be adopted by companies during times of crises.
Measuring Operational Efficiency: A Functional Analysis of Core and Non-Core Activities in a Leading Romanian Oil and Gas Retail Company
Authors: Panduru Dan Andrei , Simion Petronela Cristina , Ioanid Alexandra 
Published: July 2024

Abstract
This paper employs a qualitative approach to conduct functional analysis within one of the main players in the Romanian market in the retail oil and gas industry, utilizing the company's internal intranet platform to gather data. The study unfolds in distinct stages, beginning with department selection, followed by task breakdown, activity categorization, data collection, analysis, and insight sharing. The analysis reveals a comprehensive view of the company's operational landscape, guiding strategic decisions and resource optimization. Key conclusions highlight the significance of core activities for revenue and growth, the value of diverse employee typologies, and opportunities for efficiency enhancement. The study's insights offer practical directions for managing core competencies, fostering informed collaboration, and adapting to industry changes. Future recommendations include leveraging this analysis for future strategy, investment, and innovation.
Coordinates of Food and Nutrition Security in States with Limited Agricultural Resources
Authors: Tarhini Mahmoud , Petre Ionut Laurentiu , Dimitriu Anton Theodor , Zemelaga Catalin Gheorghe 
Published: July 2024

Abstract
Food security is a topic of a large interest, the new approach shifting towards nutrition security, from people access to sufficient towards safe and nutritious food, emphasizing the structure of the diet and the importance of the nutrients in assuring a healthy life. But malnutrition problems affect people worldwide, in different forms, both undernourishment and overweight and obesity, mostly in countries where agricultural resources, as one of the main sources of food, are scarce. Such a country is United Arab Emirate, where people have access to sufficient food, but based on imports, signalizing a low level of food self-sufficiency. Furthermore, the alarming rate of obesity of 30% raises questions about the structure of the diet and nutrition security. The aim of the study is to determine the level of food security in the United Arab Emirates and identify the factors behind it. Statistical data referring to food and nutrition security in United Arab Emirate have been analysed and predictions have been made using machine learning algorithms. The results are relevant for underpinning food policy at macroeconomic level, helping decision makers in finding solutions for improving nutrition security and food self-sufficiency.
A Meta-Analysis of ESG Disclosure and Company’s Economic Performance
Authors: Bancu Adrian 
Published: July 2024

Abstract
The growing concern of all UN member states to respond to global challenges, such as ending poverty, developing the health and educational systems, economic growth, reducing the impact of climate change, and preserving oceans and forests, has made ESG disclosure a necessity for companies. This study intends to analyze the relationship between ESG disclosure and company’s performance. The overall company’s performance was evaluated based on the corporate sustainability performance (CSP) framework, namely economic, environmental, and social (EES) performance. A sample of 80 articles taken from the Web of Science and Scopus databases, published in 50 journals, and reporting 742 effects, was relevant to meta-analyses the correlation between ESG disclosure and company’s economic performance. The results support the positive correlation between ESG disclosure and company’s economic performance. ESG disclosure is for more than just transparently reporting relevant ESG information, but also contributes to the consolidation of better economic performance through the degree of efficiency and effectiveness of the economic strategies of the business. In terms of practical implications, management of companies should consider ESG information disclosure through a long-term management strategy. These findings being timely especially in the case of companies for which no legislative constraints for ESG disclosure.