bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Novel Metaheuristic Strategy for the Elucidation of Gravity Anomalies with Application to Geothermal Energy Investigations and Volcanic Activity Studies: Hunger Games Search (HGS)
Authors: Su Kejia , Ai Hanbing , Qin Zhen , Lyu Chuan , Wei Xin , Alvandi Ahmad , Feng Min , Tu Yong , Zhang Yuehua 
Published: May 2023

Abstract
Recent metaheuristic approaches are extensively and intensively being introduced to the interpretation of gravity anomalies due to their superior advantages. We emphasize the application of Hunger Games Search (HGS), a novel metaheuristic inspired by hunger-driven instincts and behavioral choices of animals, to elucidate gravity data for geothermal energy exploration and volcanic activity study. After analyzing the modal features of the predetermined objective function and tuning the algorithm control parameters involved, HGS has been trial-tested on simulated data sets of different scenarios and finally experienced in two field cases from India and Japan. Notably, a second moving average (SMA) strategy has been successfully integrated into the objective function to eradicate the regional component from observed responses. Post-inversion uncertainty tests have been also implemented to understand the reliability of solutions achieved. The solutions obtained by HGS have been compared in terms of convergence rate, accuracy, stability, and robustness with the solutions of the commonly utilized Particle Swarm Optimization (PSO) algorithm. Based on the results accessed, the theoretical and field cases presented could be recuperated more precisely, more stably, more robustly and more coherently with the available geophysical, geological, and borehole verification, as HGS is able to explore the model space more comprehensively without compromising its capability to approach the global minimum efficiently. This novel metaheuristic thus can be considered as a promising tool in geothermal energy investigations and the study of volcanic activities and further recommended to reconnaissance studies aimed at effectively recognizing subsurface structures from various geophysical anomalies.
THE EFFECTS OF ISLAMIC BRANDING, PRICE AND SERVICE QUALITY ON WORD OF MOUTH THROUGH CUSTOMER SATISFACTION AS INTERVENING VARIABLES
Authors: Munawiroh Nurul Fitriana , Sari Nadia Roosmalita 
Published: May 2023

Abstrak: Penelitian ini dilatar belakangi oleh semakin ketatnya persaingan bisnis terutama pada bidang usaha jasa cuci motor. Hal tersebut membuat para pelaku usaha dituntut untuk lebih giat lagi dalam berinovasi guna bersaing pada usaha kompetitor sehingga dapat lebih baik dalam menarik pelanggan. Beberapa upaya yang dapat digunakan diantaranya dengan memperbaiki reputasi islamic branding, kualitas harga, kualitas pelayanan, serta kepuasan pelanggan untuk memperoleh citra yang baik bagi komunitas pelanggan terutama dalam komunikasi word of mouth pada komunitas pelanggan. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis kausalitas. Data yang digunakan dalam penelitian ini merupakan data primer yang dikumpulkan pada komunitas pelanggan cuci motor Sumber Bening. Teknik analisis data yang digunakan yaitu Analisis Path yang diolah dengan menggunakan software SPSS 16. Hasil pengujian menunjukkan bahwa variabel islamic branding, harga, dan kualitas pelayanan secara langsung memiliki pengaruh yang positif dan signifikan terhadap kepuasan pelanggan. Sedangkan secara tidak langsung variabel islamic branding, harga, dan kualitas pelayanan memiliki pengaruh yang signifikan terhadap komunikasi word of mouth melalui variabel mediasi kepuasan pelanggan. Adapaun pengaruh kepuasan pelanggan terhadap word of mouth memiliki pengaruh posiitif dan signifikan.
Kata kunci: Islamic branding, Harga, Kepuasan Pelanggan, Kualitas Pelayanan, Word of Mouth

Abstract: This research is motivated by the increasingly fierce business competition, especially in the field of motorcycle washing services. This makes business actors required to be even more active in innovating to compete with competitors' businesses so that they can be better at attracting customers. Some of the efforts that can be used include improving islamic branding reputation, price quality, service quality, and customer satisfaction to obtain a good image for the customer community, especially through word-of-mouth communication to the customer community. This study uses a quantitative approach to the type of causality. The data used in this study are primary data collected from the Sumber Bening motorcycle washing customer community. The data analysis technique used is Path Analysis which is processed using SPSS 16 software. The test results show that the variables of islamic branding, price, and service quality directly have a positive and significant influence on customer satisfaction. While indirectly the variables of islamic branding, price, and service quality have a significant influence on word-of-mouth communication through the mediating variable of customer satisfaction. The influence of customer satisfaction on word of mouth has a positive and significant effect mouth has a positive and significant effect.
Keywords: Islamic branding, Customer Satisfaction, Price, Service Quality, Word of Mouth
A multi-criteria multidimensional model for optimal selection of rural water supply systems
Authors: Hamidifar Hossein , Ghorbani M. K. , Bakhshandeh M. A. , Gholami S. 
Published: May 2023

Abstract

Water supply is a crucial concern for planners across all countries, especially in rural communities. This paper proposes a multidimensional approach to examining the effective criteria for water supply projects in rural areas of Iran. The study compares alternative methods of project implementation and employs three multi-criteria decision-making (MCDM) methods: analytical hierarchy process (AHP), Fuzzy-AHP, and technique for order preference by similarity to ideal solution (TOPSIS) to prioritize criteria, sub-criteria, and alternatives. The results indicate that, among the five options analyzed, diverting water from the river and constructing temporary storage dams are the highest priorities, while pipeline branching to the nearby city or village is given the lowest priority. The study reveals that environmental and economic criteria are more critical than social-security and technical-management criteria, while negative environmental impacts and the possibility of risk-taking by subversive agents are the most important among the 14 sub-criteria studied.
Identification of groundwater potential zones of Idukki district using remote sensing and GIS-based machine-learning approach
Authors: Khan Zohaib Ahmed , Jhamnani Bharat 
Published: May 2023

Abstract

Kerala's Idukki district, which is situated on the Western Ghats of India, is susceptible to flooding and landslides. As a result of the 2018 Kerala floods, this disaster-prone region experienced drought conditions. In order to lessen the effects of future disasters, it is also necessary to identify and evaluate the district's groundwater potential (GWP). This work used three machine-learning (ML) algorithms – Random Forest (RF), Adaptive Boosting (AdaBoost), and Gradient Boosting (GB) – to model and produce GWP zonation maps for the Idukki district. Fourteen conditioning factors including elevation, slope, curvature, Topographic Roughness Index, lineament density, soil, geology, geomorphology, Topographic Wetness Index, Sediment Transport Index, drainage density, rainfall, land-use/land-cover (LULC), and Normalised Difference Vegetation Index were adopted as input parameters in the modelling. All showed prominence when they were examined for feature importance using the recursive feature elimination (RFE) method. The RF model outperformed the other two ML models in terms of fit, with an area under curve (AUC) value of 0.92, while the GB and AdaBoost models displayed less fit, with AUC values of 0.90 and 0.88, respectively. GWP maps produced by each model were reclassified into five zones – very high to very low – it was discovered that the zones were evenly spread throughout the Idukki region.
Polymorphic Variants of ASS1 Gene Related to Arginine Metabolism and
the Risk of HCC
Authors: Bibi Kulsoom , Fatima Tehseen , Sohrab Saba , Haider Ghulam , Zarina Shamshad , Ilyas Amber 
Published: May 2023

Background:
Hepatocellular carcinoma is a primary liver cancer and 6th most common
cancer globally. Inefficient diagnostic strategies and the limited availability of treatments are the
foremost reasons. Variable factors directly impact the disease burden, among them, molecular
alterations have been found to play a significant role. In liver, argininosuccinate synthase-1 is a center
of arginine metabolism and rate limiting enzyme of urea cycle. It also triggers multiple mechanisms
that lead to HCC pathogenesis.

Objectives:
The aim of this study is to analyze the ASS1 gene expression, its polymorphic genotype
and microsatellite instability among HCC patients from our Pakistani population.

Method:
Blood samples were collected from disease and healthy control individuals. Allele-Specific
PCR was performed for SNP analysis. MSI of tri and tetra nucleotide repeats were analyzed by PCR.
The differential expression of ASS1 gene was also investigated. Furthermore, the reactome database
and STRING software were utilized for finding correlations between ASS1 gene with other associated
gene/proteins.

Results:
The GG wild-type genotype was more prevailed in the disease group as compared to the
control. Significant downregulation in ASS1 and NOS2 genes was observed. Bioinformatics analysis
reveals the correlation between ASS1 polymorphism and HCC development appears to be linked with
the EMT pathway and polyamine production. Furthermore, MSI significantly resided in the disease
group. Results were analyzed statistically to calculate the significance of obtained results.

Conclusion:
Study concludes that the insight of HCC mechanism through population-specific genetic
mutations and altered gene expression of ASS1 might be helpful in early diagnostic and therapeutic
purposes.
Post-translational Modifications by Acyl Groups Regulate FEN1’s
Activities and Play Essential Roles in Cell Proliferation and DNA Repair
Authors: Xiao Yue , Yin Mingyu , Wang Yiyi , Shi Rongyi , Mao Shuyu , Hua Yuejin , Xu Hong 
Published: May 2023

Background:
Flap endonuclease 1 (FEN1), well known for its structural-specific nuclease,
possessing 5'-flap endonuclease and 5'-3' exonuclease activities, is mainly involved in DNA
replication and repair. Protein lysine acetylation is an important posttranslational modification that
could regulate numerous proteins’ activity, subcellular localization, protein-protein interaction etc.,
and influences many biological processes. Our previous studies on integrated succinylome profiles
found that succinylation and acetylation levels of FEN1 would change under different conditions.
Succinylation at FEN1 Lys200 site results in the accumulation of damaged DNA and increased
susceptibility to fork-stalling agents. The interplay with other forms of modification could affects its
protein interaction affinity and thus contribute to genome stability.

Objective:
This article studied the biological role of FEN1 by acyl modification in HeLa cells.

Method:
In order to explore the function of FEN1 acylation in cells, we mimicked the presence or
absence of acetylation or succinylation by mutating key amino acids to glutamic acid and glutamine.
We carried out a series of experiments including cell cycle, MTS, enzyme kinetics measurements,
immunofluorescence and so on.

Results:
The absence of acylation of FEN1 leads to the blocked cell cycle process and the reduced
efficiency of FEN1 on its DNA substrates, affecting the interaction of FEN1 with both repair and
replication related proteins and thus its role in the repair of DNA damage.

Conclusion:
We have verified acyl groups could modify Lys125, Lys252 and Lys254 of FEN1.
Acylation level of these three is important for enzyme activity, cell proliferation and DNA damage
response, thus contributing to genome stability.
Biomimetic Nanovaccines: A Novel Approach in Immunization
Authors: Khojini Javad Yaghmoorian , Babaei Benjamin , Shakarami Maryam , Mofidi Mahdis , Tahershamsi Zahra , Arjmand Tahura Fayeghi , Tajbakhsh Amir , Gheibihayat Seyed Mohammad 
Published: May 2023

Abstract:
As the World Health Organization (WHO) declared, vaccines prevent an average of 2-3 million
deaths yearly from diseases. However, effective prophylactic and therapeutic vaccines have yet to be developed
for eradicating the deadliest diseases, viz., types of cancer, malaria, human immunodeficiency virus (HIV), and
most serious microbial infections. Furthermore, scores of the existing vaccines have disadvantages, such as failure
to completely stimulate the immune system, in vivo instability, high toxicity, need for the cold chain, and
multiple administrations. Thus, good vaccine candidates need to be designed to elicit adaptive immune responses.
In this line, the integration of sciences along with the use of various technologies has led to the emergence
of a new field in vaccine production called biomimetic nanovaccines (BNVs). Given that, nanotechnology can
significantly contribute to the design of such vaccines, providing them with enhanced specificity and potency.
Nanoparticles (NPs) and biomimetic NPs (BNPs) are now exploited as the main carriers for drug delivery systems,
especially BNPs, whose biological mimicry makes them escape the immune system and transport drugs
to the desired target. The drug accordingly seeks to camouflage itself with the help of NPs and the membranes
taken from cells in the human body, including red blood cells (RBCs), white blood cells (WBCs), platelets, and
cancer cells, for more effective and ideal delivery. As BNPs have recently become the center of attention in
vaccine design, this review deliberates on the advances in BNVs.
Synthesis, Docking Study of Some Novel Chromeno[4',3'-b]Pyrano
[6,5-d]Pyrimidine Derivatives Against COVID-19 Main Protease (Mpro)
(6LU7, 6M03)
Authors: Motamedi Radineh , Soufian Safieh , Ghalhar Zahra Rostami , Jalali Mahdiyeh , Rahimi Hooman 
Published: May 2023

Aims:
In this work, some new chromeno[4',3'-b]pyrano[6,5-d]pyrimidines,3-amino and 3-methyl-5-aryl-4-imino-5(H)-chromeno[4',3'-b]pyrano[6,5-d]pyrimidine-6-ones derivatives were synthesized.

Background:
Chromenopyrimidines have attracted significant attention recently because of their activities, such as antiviral and cytotoxic activity.

Objective:
All synthesized compounds were characterized using IR, 1H-NMR, Mass Spectroscopy, and elemental analysis data.

Method:
Molecular docking studies were carried out to determine the inhibitory action of studied ligands against the Main Protease (6LU7, 6m03) of coronavirus (COVID-19). Moreover, the Lipinski Rule parameters were calculated for the synthesized compounds.

Result:
The result of the docking studies showed a significant inhibitory action against the Main protease (Mpro) of SARS-CoV-2, and the binding energy (ΔG) values of the ligands against the protein (6LU7, 6M03) are -7.8 to -9.9 Kcal/mole.

Conclusion:
It may conclude that some ligands were likely to be considered lead-like against the main protease of SARS-CoV-2.
Antitumor Mechanisms of Molecules Secreted by Trypanosoma cruzi in Colon and
Breast Cancer: A Review
Authors: Sadr Soheil , Ghiassi Shakila , Lotfalizadeh Narges , Simab Pouria Ahmadi , Hajjafari Ashkan , Borji Hassan 
Published: May 2023

Background:
Molecules secreted by Trypanosoma cruzi (T. cruzi) have beneficial effects on the immune
system and can fight against cancer by inhibiting the growth of tumor cells, preventing angiogenesis, and promoting
immune activation.

Objective:
This study aimed to investigate the effects of molecules secreted by Trypanosoma cruzi on the growth of
colon and breast cancer cells, to understand the underlying mechanisms of action.

Results:
Calreticulin from T. cruzi, a 45 kDa protein, participates in essential changes in the tumor microenvironment
by triggering an adaptive immune response, exerting an antiangiogenic effect, and inhibiting cell growth. On the other
hand, a 21 kDa protein (P21) secreted at all stages of the parasite's life cycle can inhibit cell invasion and migration.
Mucins, such as Tn, sialyl-Tn, and TF, are present both in tumor cells and on the surface of T. cruzi and are characterized
as common antigenic determinants, inducing a cross-immune response. In addition, molecules secreted by the
parasite are used recombinantly in immunotherapy against cancer for their ability to generate a reliable and long-lasting
immune response.

Conclusion:
By elucidating the antitumor mechanisms of the molecules secreted by T. cruzi, this study provides valuable
insights for developing novel therapeutic strategies to combat colon and breast cancer.
Migrating a Well-Established Longitudinal Cohort Database From Oracle SQL to Research Electronic Data Entry (REDCap): Data Management Research and Design Study
Authors: Kusejko Katharina , Smith Daniel , Scherrer Alexandra , Paioni Paolo , Kohns Vasconcelos Malte , Aebi-Popp Karoline , Kouyos Roger D , Günthard Huldrych F , Kahlert Christian R ,   Swiss HIV Cohort Study and the Swiss Mother and Child HIV Cohort Study
Published: May 2023

Background
Providing user-friendly electronic data collection tools for large multicenter studies is key for obtaining high-quality research data. Research Electronic Data Capture (REDCap) is a software solution developed for setting up research databases with integrated graphical user interfaces for electronic data entry. The Swiss Mother and Child HIV Cohort Study (MoCHiV) is a longitudinal cohort study with around 2 million data entries dating back to the early 1980s. Until 2022, data collection in MoCHiV was paper-based.

Objective
The objective of this study was to provide a user-friendly graphical interface for electronic data entry for physicians and study nurses reporting MoCHiV data.

Methods
MoCHiV collects information on obstetric events among women living with HIV and children born to mothers living with HIV. Until 2022, MoCHiV data were stored in an Oracle SQL relational database. In this project, R and REDCap were used to develop an electronic data entry platform for MoCHiV with migration of already collected data.

Results
The key steps for providing an electronic data entry option for MoCHiV were (1) design, (2) data cleaning and formatting, (3) migration and compliance, and (4) add-on features. In the first step, the database structure was defined in REDCap, including the specification of primary and foreign keys, definition of study variables, and the hierarchy of questions (termed “branching logic”). In the second step, data stored in Oracle were cleaned and formatted to adhere to the defined database structure. Systematic data checks ensured compliance to all branching logic and levels of categorical variables. REDCap-specific variables and numbering of repeated events for enabling a relational data structure in REDCap were generated using R. In the third step, data were imported to REDCap and then systematically compared to the original data. In the last step, add-on features, such as data access groups, redirections, and summary reports, were integrated to facilitate data entry in the multicenter MoCHiV study.

Conclusions
By combining different software tools—Oracle SQL, R, and REDCap—and building a systematic pipeline for data cleaning, formatting, and comparing, we were able to migrate a multicenter longitudinal cohort study from Oracle SQL to REDCap. REDCap offers a flexible way for developing customized study designs, even in the case of longitudinal studies with different study arms (ie, obstetric events, women, and mother-child pairs). However, REDCap does not offer built-in tools for preprocessing large data sets before data import. Additional software is needed (eg, R) for data formatting and cleaning to achieve the predefined REDCap data structure.
Impact Over 3 Years of a Family Medicine-led Addiction Medicine Curriculum for Medical Students
Authors: Keenan Anne , Sopdie Elizabeth , Keilty Jack , Clark Kirby 
Published: May 2023

Background and Objectives: Innovations in medical school training are essential for family physicians to enter practice confident in addressing the opioid epidemic and substance use disorders. The objective of this study was to evaluate the effectiveness of a distance-learning addiction medicine curriculum led by family medicine physicians for third-year medical students.
Methods: Our prospective cohort study of third-year medical students compared our educational model to a traditional curriculum. Our distance-learning collaboration employed videoconferencing and community experts to engage students across Minnesota in an addiction medicine curriculum. Students in a family medicine-focused 9-month longitudinal integrated curriculum (LIC) participated in this 16-session curriculum while embedded in a rural or urban underserved community for their core third-year clerkships. We evaluated program effectiveness through a knowledge and attitude self-assessment survey of student participants before and after the program compared to students in a traditional curriculum.
Results: The pre- and postsurvey response rates, respectively, were 22.8% for the control group and 98.4% for the ECHO (Extension for Community Healthcare Outcomes) group. Compared to classmates in a traditional curriculum, program participants reported significantly higher self-perceived ability managing addiction concerns upon completing this curriculum (mean score of 3.2 vs 2.2 on a 5-point Likert scale, P&lt;.001).
Conclusions: Data from our LIC showed promise that the model can be effective in building confidence in students’ abilities to practice addiction medicine. Because of its broad reach and low cost, this form of medical education may be a key model for medical schools to respond to the opioid epidemic and better serve our patients.
The Effect Of Entrepreneurship Knowledge Towards The Success Of Coffeeshop Business In Padang
Authors: Prabaningtyas Dewi , Yelfi Reno , Gusnita Wiwik , Insan Ranggi Rahimul 
Published: May 2023

This research was backgrounded by the rapid development of the coffee shop business in the city of Padang. However, problems arise in line with the level of entrepreneurial knowledge that is still inadequate so that the coffee shop business in the city of Padang does not achieve business success. The purpose of this study is 1) To describe the entrepreneurial knowledge possessed by coffee shop business actors in the city of Padang, 2) Describe the success of the coffee shop business in the city of Padang, 3) Analyze the influence of entrepreneurial knowledge on the success of a coffee shop business in the city of Padang. This type of research uses the quantitati f method, a causal associative approach. The population in this study was all business actors in 12 coffee shops in the city of Padang. The study sample was 36 people consisting of business owners and a management team determined by total sampling. Data is collected by distributing questionnaires. The data description uses a normal curve. The analysis requirements test was carried out with normality test, homogeneity test, linearity test and then hypothesis test was carried out using correlation test, simple regression test, and determination coefficient test with the help of SPSS Version 25.00. The results of the study, the entrepreneurial knowledge variable (X) is included in the category of quite good with a percentage of 88.9%, and the business success variable (Y) is included in the category of quite good with a percentage of 52.8%. The variable of entrepreneurial knowledge has a correlation to the success of the coffee shop business in the city of Padang of 0.711, where the two variables have a strong relationship and are of positive value. The regression coefficient was obtained by 0.906 and the coefficient of determination was obtained by (0.506) 50.6%.