bluuebunny/crossref_metadata_2025_split huggingface dataset:
How to Measure the Researcher Impact with the Aid of its Impactable Area: A Concrete Approach Using Distance Geometry
Authors: Cappelletti-Montano Beniamino , Cherchi Gianmarco , Manca Benedetto , Montaldo Stefano , Musio Monica 
Published: August 2024

AbstractAssuming that the subject of each scientific publication can be identified by one or more classification entities, we address the problem of determining a similarity function (distance) between classification entities based on how often two classification entities are used in the same publication. This similarity function is then used to obtain a representation of the classification entities as points of an Euclidean space of a suitable dimension by means of optimization and dimensionality reduction algorithms. This procedure allows us also to represent the researchers as points in the same Euclidean space and to determine the distance between researchers according to their scientific production. As a case study, we consider as classification entities the codes of the American Mathematical Society Classification System.
Optical coherence tomography measurements in Huntington’s disease: a systematic review and meta-analysis
Authors: Gouravani Mahdi , Fekrazad Sepehr , Mafhoumi Asma , Ashouri Moein , DeBuc Delia Cabrera 
Published: August 2024

Abstract
Background
A connection has been established between ocular structural changes and various neurodegenerative diseases. Several studies utilizing optical coherence tomography (OCT) have detected signs of ocular structural alterations among individuals with Huntington's disease (HD). The inconsistent results reported in the literature regarding alterations in the retina and choroid encouraged us to conduct this systematic review and meta-analysis to accumulate the findings.

Methods
A systematic search was carried out in three electronic databases (PubMed, Embase, Scopus) to find studies reporting OCT measurements in HD cases compared with healthy controls (HC). A fixed-effects or random-effects meta-analysis was conducted according to the detected heterogeneity level. Furthermore, subgroup and sensitivity analyses, meta-regression, and quality assessment were performed.

Results
Eleven studies were included in the systematic review and 9 studies with a total population of 452 participants (241 cases, and 211 HC) underwent meta-analysis. Results of the analysis denoted that subfoveal choroid had a significantly reduced thickness in HD eyes compared to HC (p < 0.0001). Moreover, our analysis indicated that HD cases had a significantly thinner average (p = 0.0130) and temporal peripapillary retinal nerve fiber layer (pRNFL) (p = 0.0012) than HC. However, subjects with pre-HD had insignificant differences in average (p = 0.44) and temporal pRNFL thickness (p = 0.33) with the HC group.

Conclusion
Results of the current systematic review and meta-analysis revealed the significant thinning of average and temporal pRNFL and subfoveal choroid in HD compared to HC. However, OCT currently might be considered insensitive to be applied in the pre-HD population at least until further longitudinal investigations considering variables such as the duration between OCT measurement and disease onset validating OCT as a routine diagnostic tool in HD clinics.
Integrating deep learning for accurate gastrointestinal cancer classification: a comprehensive analysis of MSI and MSS patterns using histopathology data
Authors: Wafa Abeer A. , Essa Reham M. , Abohany Amr A. , Abdelkader Hanan E. 
Published: August 2024

AbstractEarly detection of microsatellite instability (MSI) and microsatellite stability (MSS) is crucial in the fight against gastrointestinal (GI) cancer. MSI is a sign of genetic instability often associated with DNA repair mechanism deficiencies, which can cause (GI) cancers. On the other hand, MSS signifies genomic stability in microsatellite regions. Differentiating between these two states is pivotal in clinical decision-making as it provides prognostic and predictive information and treatment strategies. Rapid identification of MSI and MSS enables oncologists to tailor therapies more accurately, potentially saving patients from unnecessary treatments and guiding them toward regimens with the highest likelihood of success. Detecting these microsatellite status markers at an initial stage can improve patient outcomes and quality of life in GI cancer management. Our research paper introduces a cutting-edge method for detecting early GI cancer using deep learning (DL). Our goal is to identify the optimal model for GI cancer detection that surpasses previous works. Our proposed model comprises four stages: data acquisition, image processing, feature extraction, and classification. We use histopathology images from the Cancer Genome Atlas (TCGA) and Kaggle website with some modifications for data acquisition. In the image processing stage, we apply various operations such as color transformation, resizing, normalization, and labeling to prepare the input image for enrollment in our DL models. We present five different DL models, including convolutional neural networks (CNNs), a hybrid of CNNs-simple RNN (recurrent neural network), a hybrid of CNNs with long short-term memory (LSTM) (CNNs-LSTM), a hybrid of CNNs with gated recurrent unit (GRU) (CNNs-GRU), and a hybrid of CNNs-SimpleRNN-LSTM-GRU. Our empirical results demonstrate that CNNs-SimpleRNN-LSTM-GRU outperforms other models in accuracy, specificity, recall, precision, AUC, and F1, achieving an accuracy of 99.90%. Our proposed methodology offers significant improvements in GI cancer detection compared to recent techniques, highlighting the potential of DL-based approaches for histopathology data. We expect our findings to inspire future research in DL-based GI cancer detection.
Enhancement of Cinnamomum camphora magnetic nanoparticle bioactivities via carboxymethyl cellulose immobilization for potential therapeutic applications in cancer treatment
Authors: Abd El-Aziz Salim Mohamed , Faraag Ahmed H. I. , Abdul-Baki Enas A. , Fouda Manar Seleem 
Published: August 2024

AbstractA promising method for cancer therapy is the coating of magnetic nanoparticles with carboxy methylcellulose. In a research project, hydroalcoholic extract of Cinnamomum camphora leaves was used to demonstrate the production of magnetic nanoparticles (MNPs); MNPs were coated with carboxymethyl cellulose to form carboxymethyl cellulose-coated magnetic nanoparticles (CMNPs)were formed. Preliminary phytochemical screening of C. camphora confirmed the presence of flavonoids, carbohydrates, phenolic compounds, and proteins. Phenolics 280.59 (mg/g), flavonoids 15.46 (mg/g), proteins 1.9 (mg/mL) and total carbohydrates 293.80 (mg/g) were all quantified. To confirm the formation of MNPs and CMNPs, UV–visible (UV–vis) spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction (XRD), transmission electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS) were used. Peaks were observed at 232 nm and 240 nm, respectively. The largest absorption peaks were observed in MNPs and CMNPs, respectively. The particles were spherical in shape and less than 10 (nm) in diameter. The potential scavenging activity of biosynthesized MNPs and CMNPs was evaluated by the ABTS and DPPH assays, and the inhibition values IC50 were 141.3 ± 3.0 and 61.67 ± 2.5 (µg/mL) for ABTS and 176.1 ± 4.0 and 70.92 ± 3.0 (µg/mL) for DPPH, respectively (p ≤ 0.05). Furthermore, the cytotoxicity test results showed that the HCT-116 human colon cancer cell line had the lowest IC50 value of 20 (µg/mL) for CMNP, followed by the HepG2 hepatocellular carcinoma cell line with an IC50 value of 33 (µg/mL) for CMNP, indicating that the cytotoxic effect on colon cancer cells is stronger than on liver cancer cells. Molecular docking studies have revealed that CMNPs target and bind to apoptotic protein, enhancing their bioactivity and cytotoxic effects on cancer cells. Furthermore, our findings suggest that the induction of apoptosis may be responsible for the anticancer effects of CMNPs.
Graphical abstract
A model proposal explaining the influence of smartphone addiction related factors on high school students’ academic success
Authors: Kutluay Engin , Karaca Feride 
Published: August 2024

AbstractAn exploratory sequential mixed-method study is designed to develop and test a comprehensive model explaining the relationships between factors associated with smartphone addiction and high school students’ academic achievement. Involving two main phases of qualitative and quantitative, focus group discussions with high school students and interviews with teachers were conducted in the first phase, both to decide on the factors and to reveal the relationships between the factors in the model. According to the qualitative results, the most important factors were found as social media usage, cyberloafing, academic procrastination, external and internal academic locus of control. Then, a hypothesis model involving these factors was developed to explain high school students' academic achievement. Obtained from 410 high school students, quantitative data are collected online by the use of some scales measuring the factors included in the model. Using the path analysis method, the hypothesis model was tested, and it was observed that the model fit the data well. As a result, the factors that most influence academic achievement were found as duration of social media usage, external academic locus of control, smartphone addiction, internal academic locus of control, academic procrastination, and cyberloafing respectively. The uniqueness of the presented model in this research is believed to lie in its holistic perspective on the relationships between smartphone addiction and related factors, and their effects on academic achievement. Looking from a big picture, this model is expected to provide a roadmap for practitioners and decision-makers in terms of how to improve students’ academic achievement.
Enhancing learner affective engagement: The impact of instructor emotional expressions and vocal charisma in asynchronous video-based online learning
Authors: Suen Hung-Yue , Hung Kuo-En 
Published: August 2024

AbstractIn the rapidly evolving landscape of higher education and adult learning, asynchronous video-based online learning has not only become the new norm but has also emerged as the cornerstone of instructional delivery for Massive Open Online Courses (MOOCs). Despite its widespread adoption, this learning mode confronts a critical challenge: the inherent lack of social presence, posing a significant risk of diminishing learner affective engagement and, consequently, jeopardizing the efficacy of learning outcomes. Addressing this pressing issue, our study conducted a comprehensive analysis of 240 instructional videos from 240 distinct instructors on a MOOC platform, supplemented by 845 post-course learner feedback surveys from a diverse cohort of college students and adult learners. Using deep learning and statistical analysis, the research revealed that the on-screen presence of instructors does not inherently affect students’ affective engagement. The study revealed that learners’ affective engagement is affected by distinct combinations of the instructor’s facial and paraverbal expressions, including happiness, surprise, and anger, which vary depending on whether the instructor is visible. The discovery that vocal attractiveness is a pivotal element in enhancing learners’ affective engagement with instructional videos marks a paradigm shift in our understanding of digital andragogy and heutagogy. This study propels academic discourse by illuminating the critical role of instructor non-verbal cues in establishing social presence and facilitating emotional contagion within asynchronous video-based online learning but also provides educators and content creators with empirically-backed techniques to revolutionize video instruction and amplify affective engagement.
Synergies and Trade-offs Between Cultural and Natural Values of Sacred Sites – a Case Study of Ancient Burial Mounds in Central Europe
Authors: Deák Balázs , Bede Ádám , Süveges Kristóf , Dózsai József , Ormsby Alison A. , Dixon Anna R. , Valkó Orsolya 
Published: August 2024

AbstractIn the Eurasian steppes, ancient burial mounds called ‘kurgans’ are among the most widespread manmade structures. These sacred sites hold cultural values and often provide safe havens for grassland-related plant species. We established links between kurgans' cultural and natural values through a comprehensive multi-layered evaluation of human and landscape history, cultural attributes, and botanical composition on selected mounds in Hungary, Romania, and Serbia. We evaluated factors that can support or endanger the grasslands on kurgans and assessed whether there are synergies or trade-offs between the presence of cultural and natural values. We found that kurgans act as cultural hotspots in transformed landscapes, and we found the following evidence for the synergies between cultural and natural values: i) Extensive land use and management connected to the cultural functions could considerably contribute to the preservation of grassland specialist plants on the mounds. ii) Over the past three centuries, most grasslands we studied were converted to cropland, but the cultural importance of the kurgans could hinder their destruction through ploughing or construction works. However, we also found that built cultural objects decreased the grassland cover area and supported the establishment and spread of several weedy and invasive species. Consequently, to preserve the valuable biocultural systems, it is essential to focus efforts on the maintenance of the already existing traditional cultural functions and not the establishment of new objects.
Antecedents, Characteristics, and Dynamics of IPV in the Israeli Jewish Ultra-Orthodox Community: A Cultural Exploration
Authors: Lipinsky Aiala Szyfer , Goldner Limor 
Published: August 2024

Abstract
Purpose
This qualitative study explored Intimate Partner Violence (IPV) in the Israeli Jewish Ultra-Orthodox (JUO) community to better understand the cultural and religious risk factors and features underlying IPV in this under-researched sector.

Method
Semi-structured interviews implementing the Clinical Ethnographic Narrative Interviews approach were conducted with 15 JUO women currently living with or separated/divorced from their abusive partners who were victims of IPV. The interviews were analyzed using the Interpretive Phenomenological approach.

Results
Two key themes emerged from the analysis. The first theme involves the normalization and exacerbation of violence due to specific religious and societal norms that perpetuate silence and stigma. Factors such as early marriage, religious beliefs about the sanctity of marriage, disadvantaged childhood experiences, and distorted religious justifications contributed to the victims’ vulnerability and hindered their ability to seek help.
The second theme is related to the specific features of the abuse. It covers a range of tactics employed by husbands, including financial oppression, social isolation, physical violence, and manipulation during pregnancy, all based on and justified by distorted religious concepts.

Conclusions
Though aspects of intergenerational abuse and control tactics to aggravate violence are common universal strategies in IPV, the findings here underscore the interplay between religious practices and societal expectations within the JUO community that contribute to the perpetration and perpetuation of IPV. These findings contribute to a better understanding of IPV in religious and traditional contexts and highlight the importance of tailoring interventions to address the needs of specific collectivistic and religious-based societies.
Time Reverse Modeling of Acoustic Waves for Enhanced Mapping of Cracking Sound Events in Textile Reinforced Concrete
Authors: Kocur Georg Karl , Markert Bernd 
Published: August 2024

AbstractTime reverse modeling (TRM) is successfully applied to acoustic signals from a circular microphone array, for mapping of sudden cracking sound events. Numerical feasibility using synthetic acoustic sources followed by an experimental study with steel pendulum impacts on a steel plate is carried out. The mapping results from the numerical and experimental data are compared and verified using a delay-and-sum beamforming technique. Based on the feasibility and experimental study, a mapping error is estimated. In the main experimental study, cracking sound events obtained during a tensile test on a textile-reinforced concrete specimen are mapped with the TRM. The enhanced capability of the TRM to map simultaneously occurring cracking sound events along crack paths is demonstrated.
A New Look at Job Demands, Resources, and Volunteers’ Intentions to Leave: The Role of Work–Home Interference and Burnout
Authors: Magrone Monica , Montani Francesco , Emili Silvia , Bakker Arnold B. , Sommovigo Valentina 
Published: August 2024

AbstractVolunteers’ intention to leave is a relevant issue for organizations. Thus, it is critical to advance knowledge on its determinants. This study proposes that burnout symptoms mediate the relationship of work–home interference with leaving intentions. In addition, we hypothesize that job resources, namely organizational appreciation and organizational task support, buffer the positive indirect relationship of work–home interference with volunteers’ leaving intentions through burnout symptoms. To this end, we rely on the job demands–resources theory, a theoretical framework first conceived for the paid work context that has been widely applied in volunteering settings. Consistent with our predictions, (moderated) mediation analyses on a sample of 220 Italian volunteers showed that only cynicism, and not emotional exhaustion, significantly mediated the positive relationship between work–home interference and leaving intentions and that organizational appreciation and task support weakened this indirect relationship. We discuss how these findings contribute to theory and practice for the volunteering sector.
Skin Boats in Scandinavia? Evaluating the Maritime Technologies of the Neolithic Pitted Ware Culture
Authors: Fauvelle Mikael , Horn Christian , Alvå Jacob , Artursson Magnus 
Published: August 2024

AbstractThe Early and Middle Neolithic (3500–2300 [Before Current Era] BCE) Pitted Ware Culture (PWC) was a critical component of the historical trajectory of Scandinavia’s maritime history. The hunter-gatherer societies of the PWC were highly adapted to maritime environments, and they fished, hunted, travelled, and traded across great distances over water. Exactly what boat types they used, however, is still an open question. Understanding the maritime technologies used by the PWC is a critical research area as they had an important impact on subsequent maritime adaptations in Scandinavian prehistory. Unfortunately, finding intact boats from Neolithic contexts is extremely difficult. Here, we present indirect evidence for the use of skin boats by PWC people as a first step towards building a dialog on the types of boats that would have been used during this period. We argue that multiple lines of evidence suggest that skin boats were widely used for every-day activities and long-distance voyages by PWC peoples and will discuss the implications of possible complex boat use by Neolithic peoples for our understanding of early Scandinavian maritime societies.
The Impact of Strategic Orientations on the Born Globals’ Export Performance: An Ambidexterity Approach
Authors: Presutti Manuela , Fratocchi Luciano , Odorici Vincenza 
Published: August 2024

AbstractAccording to international entrepreneurship scholars, the success of Born Globals (BGs) depends on their capacity to develop an organizational ambidexterity perspective, i.e. a dual function of simultaneous knowledge exploration and exploitation. In this respect, it has been pointed out that ambidexterity can be associated with the ability to balance the development of different strategic orientations (SOs), namely, entrepreneurial orientation (EO), market orientation (MO), and learning orientation (LO). While several authors have investigated the impact of MO, EO and LO on BGs’ performance, the results of such research are often inconsistent. Based on the resource orchestration view, we assume that the combined – rather than the single – contribution of resources and capabilities provided by EO, MO, and LO, ultimately result in a superior export performance. Such an indicator is typically adopted to evaluate international performance, especially for micro and small companies. More specifically, the study aims to verify the significance of dyadic (namely, MO*EO, EO*LO, and MO*LO) and triadic (MO*EO* LO) interactions of the SO typologies on BGs’ export performance. Moreover, the paper aspires to verify if some of these interactions are more relevant than others. We test our hypotheses on a sample of 100 Italian hi-tech BGs located inside a technological cluster near Rome through a longitudinal analysis. Our findings show that all the investigated interactions positively and significantly impact on the BGs’ export performances, independently of the adopted measurement variable. However, a certain type of hierarchy emerges among the different impacts of the investigated interactions among the three SO typologies.
Medical Mistrust Among Black Patients with Serious Illness: A Mixed Methods Study
Authors: Cueva Kristine L. , Marshall Arisa R. , Snyder Cyndy R. , Young Bessie A. , Brown Crystal E. 
Published: August 2024

Abstract
Background
Medical mistrust among Black patients has been used to explain the existence of well-documented racial inequities at the end of life that negatively impact this group. However, there are few studies that describe patient perspectives around the impact of racism and discriminatory experiences on mistrust within the context of serious illness.

Objective
To better characterize experiences of racism and discrimination among patients with serious illness and its association with medical mistrust.

Participants
Seventy-two Black participants with serious illness hospitalized at an academic county hospital.

Approach
This is a convergent mixed methods study using data from participant-completed surveys and existing semi-structured interviews eliciting participants’ perspectives around their experiences with medical racism, communication, and decision-making.

Main Measures
The experience of medical racism and its association with Group-Based Medical Mistrust (GBMM) scale scores, a validated measure of medical mistrust.

Key Results
Of the 72 Black participants, 35% participated in interviews. Participants were mostly men who had significant socioeconomic disadvantage, including low levels of wealth, income, and educational attainment. There were reported high levels of race-based mistrust in the overall GBMM scale score (mean [SD], 36.6 [9.9]), as well as high scores within the suspicion (14.2 [5.0]), group disparities in healthcare (9.9 [2.8]), and lack of support (9.1 [2.7]) subscales. Three qualitative themes aligned with the GBMM subscales. Participants expressed skepticism of healthcare workers (HCWs) and modern medicine, recounted personal experiences of discrimination in the medical setting, and were frustrated with poor communication from HCWs.

Conclusions
This study found high levels of mistrust among Black patients with serious illness. Suspicion of HCWs, disparities in healthcare by race, and a lack of support from HCWs were overarching themes that influenced medical mistrust. Critical, race-conscious approaches are needed to create strategies and frameworks to improve the trustworthiness of healthcare institutions and workers.

Graphical abstract