bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cancer Therapy Potential Unveiled: FDA‐Approved Drugs Targeting Glutaminase for Breast Cancer Treatment
Authors: Mirshekaran Raziyeh , Ahmadi Khadijeh , Shahbazi Behzad , Farshidfar Gholamreza , Eftekhar Ebrahim , Kavousipour Soudabeh 
Published: June 2024

AbstractThe survival and proliferation of proliferating cancer cells is largely dependent on glutamine. Glutamine serves as a nitrogen source for the synthesis of amino acids and nucleotides, and as a carbon source for the synthesis of lipids. Virtual screening of FDA‐approved drugs is a promising approach to identify new glutaminase inhibitors. In this study, molecular docking were used to screen a library of FDA‐approved drugs against glutaminase. Their potential as inhibitors for the treatment of breast cancer was evaluated. Molecular dynamics simulations were performed on promising candidates. An in vitro study using two breast cancer cell lines, MDA‐MB‐231 and MCF‐7, was performed to evaluate the effect of the selected drugs on cell viability and expression of apoptosis‐related genes. Our results identified several FDA‐approved drugs with potential inhibitory activity against glutaminase, including bromocriptine, doxycycline, dutasteride, ezetimibe, fexofenadine, montelukast, pimozide, and tetracycline. In vitro assays revealed a dose‐dependent inhibitory effect of rifampin and bromocriptine, two drugs with the highest binding affinity to glutaminase, on cell viability and apoptosis‐related genes in breast cancer cell lines. Targeting glutaminase with FDA‐approved drugs may be a promising strategy for the development of new cancer therapies, especially for breast cancer.
Influence of Sepiolite on the Rheological Properties of PVA Composite Hydrogels
Authors: Jiang Yizhi , Wen Sibo , Lin Shiran , Jin Dongzhao , Ding Yanhuai 
Published: June 2024

AbstractPolyvinyl alcohol (PVA) hydrogel has attracted significant attention in the field of biomedicine, sensors, and other related areas due to their exceptional biocompatibility and interfacial properties. However, conventional single‐component hydrogels often face challenges associated with insufficient mechanical and rheological properties, lacking the structural strength required for practical applications. This study aims to investigate the impact of introducing sepiolite on the rheological behavior of PVA hydrogels. To this end, sepiolite/PVA composite hydrogels were fabricated using a chemical cross‐linking technique. Subsequently, a comprehensive series of rheological experiments was conducted to assess their properties. Experimental results and model comparisons demonstrate that fractional order constitutive equations can accurately describe the rheological behavior of the hybrid hydrogels. With the increase of sepiolite content in the hydrogel, the critical strain does not change significantly, but both the storage modulus and loss modulus of the hydrogel gradually increase. When the sepiolite content reaches 10 wt %, the tensile strength of the composite hydrogel at the yield point jumps to 17.07 kPa, and the toughness increases to 549.69 kJ/m3. This significant improvement in toughness is accompanied by a fracture strain of approximately 4000 %. By adjusting the sepiolite content, different rheological properties can be achieved.
Emerging Processes for Sustainable Li‐Ion Battery Cathode Recycling
Authors: Bhattacharyya Sohini , Roy Soumyabrata , Vajtai Robert 
Published: June 2024

AbstractThe colossal growth in the use of Li‐ion batteries (LiBs) has raised serious concerns over the supply chain of strategic minerals, e.g., Co, Ni, and Li, that make up the cathode active materials (CAM). Recycling spent LiBs is an important step toward sustainability that can establish a circular economy by effectively tackling large amounts of e‐waste while ensuring an unhindered supply of critical minerals. Among the various methods of LiB recycling available, pyro‐ and hydrometallurgy have been utilized in the industry owing to their ease of operation and high efficiency, although they are associated with significant environmental concerns. Direct recycling, a more recent concept that aims to relithiate spent LiBs without disrupting the lattice structure of the CAMs, has been realized only in the laboratory scale so far and further optimization is required before it can be extended to the bulk scale. Additionally, significant progress has been made in the areas of hydrometallurgy in terms of using ecofriendly green lixiviants and alternate sources of energy, e.g., microwave and electrochemical, that makes the recycling processes more efficient and sustainable. In this review, the latest developments in LiB recycling are discussed that have focused on environmental and economic viability, as well as process intensification. These include deep eutectic solvent based recycling, electrochemical and microwave‐assisted recycling, and various types of direct recycling.
Boosting Electrochemical Nitrate Reduction at Low Concentrations Through Simultaneous Electronic States Regulation and Proton Provision
Authors: Zhang Wenlin , Zhou Yuzhuo , Zhu Yong , Guo Yabo , Zhang Bo , Zhang Lu‐Hua , Li Fei , Yu Fengshou 
Published: June 2024

AbstractElectrochemically converting nitrate (NO3−) into ammonia (NH3) has emerged as an alternative strategy for NH3 production and effluent treatment. Nevertheless, the electroreduction of dilute NO3− is still challenging due to the competitive adsorption between various aqueous species and NO3−, and unfavorable water dissociation providing *H. Herein, a new tandem strategy is proposed to boost the electrochemical nitrate reduction reaction (NO3RR) performance of Cu nanoparticles supported on single Fe atoms dispersed N‐doped carbon (Cu@Fe1‐NC) at dilute NO3− concentrations (≤100 ppm NO3−‐N). The optimized Cu@Fe1‐NC presents a FENH3 of 97.7% at −0.4 V versus RHE, and a significant NH3 yield of 1953.9 mmol h−1 gCu−1 at 100 ppm NO3−‐N, a record‐high activity for dilute NO3RR. The metal/carbon heterojunctions in Cu@Fe1‐NC enable a spontaneous electron transfer from Cu to carbon substrate, resulting in electron‐deficient Cu. As a result, the electron‐deficient Cu facilitates the adsorption of NO3− compared with the pristine Cu. The adjacent atomic Fe sites efficiently promote water dissociation, providing abundant *H for the hydrogenation of *NOx e at Cu sites. The synergistic effects between Cu and single Fe atom sites simultaneously decrease the energy barrier for NO3− adsorption and hydrogenation, thereby enhancing the overall activity of NO3− reduction.
Minimizing variability: Standardized approach to retroperitoneal single‐port robot‐assisted ureteral reconstruction
Authors: Walasek Aleksandra , Lin Jeffery , Zhao Lee 
Published: June 2024

AbstractEvidence suggests that robot‐assisted ureteroplasty is a safe and feasible management option of ureteral strictures. The retroperitoneal approach to ureteral reconstruction using single‐port (SP) robot can be beneficial in challenging cases of patients with prior history of abdominopelvic surgery or radiation. Herein, we present a standardized approach to retroperitoneal SP robot‐assisted ureteral reconstruction, highlighting the advantages of this technique in selected clinical scenarios.
Reaction of a Bulky β‐Diketiminato Magnesium Hydride with CO2 Yielding a Polynuclear Magnesium Cage Compound
Authors: Huadsai Wimonsiri , Vendier Laure , Westerhausen Matthias , Bontemps Sébastien 
Published: June 2024

AbstractThe reaction of a sterically shielded Mg hydride complex, bearing a bulky β‐diketiminato (BDI) ligand, with CO2 leads to the formation of polynuclear complexes. CO2 not only inserts into the metal hydride bond yielding formate ions, but also adds onto the γ‐C of the BDI ligand. This reactivity gives rise to the formation of soluble tri‐ and tetranuclear structures in THF, leading to a hexameric structure associated with a change in the coordination mode of the BDI ligand at 60 °C in THF within four days. The insoluble hexameric complex was isolated in high reproducible yield from the solution and characterized by X‐ray diffraction analysis. The reaction affording the hexameric complex was shown to be completed within 1 h at room temperature in toluene. Similar reactions of CO2 with a BDI calcium hydride complex proceeds less cleanly and a pure product could not be isolated.
Tourism Intelligence, Key to Reviving the Sector
Authors: Hernández-White Carlos , Rodríguez-Díaz Beatriz , Expósito-García Alfonso 
Published: June 2024

SummaryThe crisis caused by the COVID-19 pandemic has hit the tourism sector hard, causing an unprecedented drop in activity. This has accentuated the need for robust tourism knowledge systems that provide intelligence, improvements in competitiveness and greater efficiency in the sector, taking advantage of its potential through more collaborative and digital processes. The added value of this work is to define, based on existing literature and experience in different territories, the main aspects to be taken into account in the design of an integrated tourism knowledge and intelligence system. We are at a stage of recovery of tourism activity after the pandemic where digitalisation processes are key factors in the structural changes. Tourism intelligence systems must be based on collaboration between all the agents in the sector, on the consolidation and integration of information from different sources, on the application of technology and business intelligence techniques to provide high-value knowledge, on the contribution of the tourism sector to the development of the territories and on the improvement of competitiveness based on knowledge management.
Connections Between a Tourist Destination, the Digital Ecosystem, and ICT Actors
Authors: Alzua-Sorzabal Aurkene , Herasimovich Volha , Guereño-Omil Basagaitz , Thiel-Ellul Daniela 
Published: June 2024

AbstractThe tourism sector and tourist destinations are undergoing a digital transition in order to improve their resilience and competitiveness. The way in which tourist destinations address this digital transition differs, as some incorporate more technology in their ecosystem than others, giving rise to the emergence of different types of digital tourism networks. This study seeks to determine the different ways in which a tourist destination connects with a digital ecosystem, specifically focusing on the connections with ICT actors. It is based on the theoretical framework of tourism as an ecosystem. Using web crawling, network data have been compiled on 670 tourism actors and more than 36,000 websites to which they are connected through hyperlinks. The most frequently linked entities of the discovered digital ecosystem have been identified and classified (n = 447), distinguishing between 13 types of ICT actors. The results show how the online destination network has been incorporated into the digital ecosystem. The study reveals that the configuration of the digital ecosystem surrounding a tourist destination is characterised by the different levels of importance for the network of destination actors in which the ICT actors play a central role.
Framework for Enhancing the Social Impact of Tourism Research
Authors: Viana-Lora Alba , Aguilar-Rivero Minerva , Moral-Cuadra Salvador , Suazo Pablo 
Published: June 2024

AbstractThis study addresses the importance of enhancing the social impact of tourism research through the implementation of a theoretical framework. The article presents the results of a review of the existing literature on the social impact of research. Key aspects for the design of a framework to enhance social impact are identified, including the identification of relevant social problems, the involvement of relevant stakeholders, a multidisciplinary approach, appropriate ethics, effective communication and impact evaluation. A series of interconnected steps are proposed to enhance the social impact of tourism research. The proposed framework seeks to address the current deficiencies in the connection between tourism research and social impact, promoting a participatory and multidisciplinary approach that generates positive change in society. Enhancing the social impact of tourism research is fundamental to maximising its effectiveness and achieving positive change in local communities.
Assessment of Functional and Emotional Factors in the Hotel Experience Through UGC
Authors: Sánchez-Vargas Elena , Hernández-Mogollón José Manuel , López-Salas Sergio , Pasaco-González Bárbara Sofía , Moreno-Lobato Ana 
Published: June 2024

AbstractUser Generated Content (UGC) is a valuable source of information that allows us to know what are the attributes that tourists value the most. In the hotel context, user reviews are useful for knowing tourists’ opinions. There are two forms of UGC: functional and emotional. The first is to analyse messages with practical information, while the second is composed of messages that show feelings. This paper aims to identify the differences between the functional and emotional factors assessed positively and negatively by tourists about the hotels in Trujillo (Cáceres, Spain). A content analysis of Booking.com reviews of Trujillo hotels is carried out. The hotels are divided into two groups demonstrating the differences in services and prices: 1 and 2-stars and 3 and 4-stars hotels. The results show that guests evaluated functional and emotional factors positively and negatively in both groups. According to the attributes identified, to increase the positive hotel experience, the factors that should be considered are those that include emotional dimension; while to minimise the negative experience, functional factors should be considered to cover the basic hotel experience. As a main conclusion, it is outstanding that the emotional value of the hotel experience is not exclusive to the higher categories, as it is present in both groupings.
Rise and Fall of TripAdvisor: The Lack of Participation and Its Causes
Authors: de Sandoval José Luis Ximénez 
Published: June 2024

AbstractTripAdvisor's remarkable growth since its launch is undeniable, with over 859 million reviews covering 8.6 million businesses by 2023. However, recent years have seen a noticeable stagnation, if not a decline, raising pertinent questions from both a business and academic perspective about its future as a key player in the tourism industry. Our research, launched in 2016, tracks monthly reviews of restaurants and hotels on TripAdvisor and Booking. It covers global destinations. It focuses on four well-known tourist hubs - Madrid, London, Paris and Rome - and covers the period from 2016 to 2022. The results show an initial phase (2017–2019) with a decrease in the annual growth rate of reviews in all destinations. The subsequent phase (2020–2021), influenced by pandemic-induced inactivity, showed minimal annual variation. The third phase shows a slight recovery, but no destination has exceeded a year-on-year variation of 4%. To counter this downward trend, TripAdvisor needs to implement innovative strategies and adapt its business model and user interaction processes. Such proactive measures are essential to overcome current challenges, ensure its relevance and maintain a pivotal role in the evolving tourism industry.
Getting Started with R for Education Research
Authors: Tikka Santtu , Kopra Juho , Heinäniemi Merja , López-Pernas Sonsoles , Saqr Mohammed 
Published: June 2024

AbstractThe R programming language has become a popular tool for conducting data analysis in the field of learning analytics. This chapter provides an introduction to the basics of R programming, with a focus on the Rstudio integrated development environment and the tidyverse programming paradigm. The chapter covers topics such as data types and structures, control structures, pipes, functions, loops, and input/output operations. By the end of the chapter, readers should have a solid understanding of the basics of R programming and have the tools necessary to learn more in-depth topics such as data wrangling and basic statistics using R.
Introductory Statistics with R for Educational Researchers
Authors: Tikka Santtu , Kopra Juho , Heinäniemi Merja , López-Pernas Sonsoles , Saqr Mohammed 
Published: June 2024

AbstractStatistics play a fundamental role in learning analytics, providing a means to analyze and make sense of the vast amounts of data generated by learning environments. This chapter provides an introduction to basic statistical concepts using R and covers topics such as measures of central tendency, variability, correlation, and regression analysis. Specifically, readers will learn how to compute descriptive statistics, conduct hypothesis tests, and perform simple linear regression analysis. The chapter also includes practical examples using realistic data sets from the field of learning analytics. By the end of the chapter, readers should have a solid understanding of the basic statistical concepts and methods commonly used in learning analytics, as well as a practical understanding of how to use R to conduct statistical analysis of learning data.
Development and Pilot Test of a Multi-Component Intervention to Support Women’s Recovery from Female Genital Fistula
Authors: Barageine Justus K. , Nalubwama Hadija , Obore Susan , Mirembe Esther , Mubiru Dianah , Jean Angella , Akori Susan , Opio Samuel , Keyser Laura , McKinney Jessica , Korn Abner P. , Ali Shafeesha , Byamugisha Josaphat , El Ayadi Alison M. 
Published: June 2024

Abstract
Introduction and hypothesis
We evaluated a pilot multi-component reintegration intervention to improve women’s physical and psychosocial quality of life after genital fistula surgery.

Methods
Twelve women undergoing fistula repair at Mulago Specialized Women and Neonatal Hospital (Kampala, Uganda) anticipated in a 2-week multi-component intervention including health education, psychosocial therapy, physiotherapy, and economic investment. We assessed feasibility through recruitment, retention, and adherence, acceptability through intervention satisfaction, and preliminary effectiveness through reintegration, mental health, physical health, and economic status. We collected quantitative data at enrollment, 6 weeks, 3 months, and 6 months. We conducted in-depth interviews with six participants. Quantitative data are presented descriptively, and qualitative data analyzed thematically.

Results
Participants had a median age of 34.5 years (25.5–38.0), 50% were married/partnered, 42% were separated, 50$ had completed less than primary education, and 67% were unemployed. Mean number of sessions received was 12 for health education (range 5–15), 8 for counseling (range 8–9), and 6 for physiotherapy (range 4–8). Feasibility was demonstrated by study acceptance among all those eligible (100%); comfort with study measures, data collection frequency and approach; and procedural fidelity. Acceptability was high; all participants reported being very satisfied with the intervention and each of the components. Participant narratives echoed quantitative findings and contributed nuanced perspectives to understanding approach and content.

Conclusions
Our results suggest that the intervention and associated research were both feasible and acceptable, and suggested certain modifications to the intervention protocol to reduce participant burden. Further research to determine the effectiveness of the intervention above and beyond surgery alone with regard to the health and well-being of women with fistulas is warranted.
Use of drugs for hypertension or heart failure and the risk of death in COVID-19: association with loop-diuretics
Authors: Fastbom Johan , Jonasdottir Bergman Gudrun , Holm Johanna , Hanberger Håkan , Strålin Kristoffer , Walther Sten , Alfredsson Joakim , State Maria , Borg Natalia , Nyman Iliadou Anastasia 
Published: June 2024

Abstract
Purpose
To study the association between the use of drugs for hypertension or heart failure, particularly diuretics, and risk of death in COVID-19.

Methods
We conducted a cohort study, based on record linked individual-based data from national registers, of all Swedish inhabitants 50 years and older (n = 3,909,321) at the start of the first SARS-CoV-2 wave in Sweden. The association between use of angiotensin-converting enzyme inhibitors (ACEI), angiotensin II receptor blockers (ARB), thiazides, loop diuretics, aldosterone antagonists, beta blocking agents and calcium channel blockers at the index date 6 March 2020, and death in COVID-19 during 7 March to 31 July 2020, was analysed using Cox-proportional hazards regression, adjusted for a wide range of possible confounders.

Results
Use of loop diuretics was associated with higher risk [adjusted hazard ratio (HR) 1.26; 95% confidence interval (95% CI) 1.17–1.35] and thiazides with reduced risk (0.78; 0.69–0.88) of death in COVID-19. In addition, lower risk was observed for ACEI and higher risk for beta-blocking agents, although both associations were weak. For ARB, aldosterone antagonists and calcium channel blockers no significant associations were found.

Conclusion
In this nationwide cohort of nearly 4 million persons 50 years and older, the use of loop diuretics was associated with increased risk of death in COVID-19 during the first SARS-CoV-2 wave in Sweden. This contrasted to the decreased risk observed for thiazides. As treatment with loop diuretics is common, particularly in the elderly, the group most affected by severe COVID-19, this finding merit further investigation.
Association of angiogenic factors (placental growth factor and soluble FMS-like tyrosine kinase-1) in preeclamptic women of African ancestry comorbid with HIV infection
Authors: Mlambo Zinhle P. , Sebitloane Motshedisi , Naicker Thajasvarie 
Published: June 2024

Abstract
Background
Preeclampsia is a significant cause of maternal and fetal morbidity and mortality, particularly in low- and middle-income countries like South Africa.

Aim
The aim of our study was to investigate the association between placental growth factor (PlGF) and soluble FMS-like tyrosine kinase-1 (sFlt-1) in South African preeclamptic women of African ancestry, comorbid with HIV infection.

Methods
The study population consisted of women attending a regional hospital in Durban, South Africa, stratified by pregnancy type (normotensive pregnant and preeclampsia) and HIV status. Preeclampsia was defined as new-onset hypertension and proteinuria. DNA was obtained from whole blood. The SNPs of interest were rs722503 in sFlt-1 and rs4903273 in PlGF.

Results
Our findings suggest that single nucleotide polymorphisms of rs722503 analysis show no significant associations between the genotypic frequencies of rs722503 variants and preeclampsia risk in either HIV-negative or HIV-positive groups of women of African ancestry. Similarly, the rs493273 polymorphism showed no significant association with preeclampsia risk in either HIV-negative or HIV-positive pregnant women. Additionally, comparisons of dominant, recessive, and over-dominant allele models did not reveal significant associations. These findings suggest that these genetic variants may not significantly contribute to preeclampsia development in this African ancestry population. However, significant differences were observed in the rs4903273 genotype frequencies between normotensive and preeclamptic women, regardless of HIV status, over dominant alleles AA + GG vs AG showed a significant difference [OR = 2.706; 95% Cl (1.199–5.979); adjusted p = 0.0234*], also in normotensive compared to EOPE (OR = 2.804; 95% Cl (1.151–6.89) p = 0.0326* and LOPE (OR = 2.601; 95% Cl (1.0310–6.539) p = 0.0492*), suggesting that they may be the potential role of this variant in preeclampsia susceptibility.

Conclusion
The findings suggest that the rs722503 and rs493273 polymorphisms do not significantly contribute to preeclampsia susceptibility in HIV-negative or HIV-positive pregnant women. However, the rs4903273 genotype frequencies showed notable differences between normotensive and preeclamptic women, indicating a potential association with preeclampsia development in the African ancestry population irrespective of HIV status.