bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychosocial correlates of flourishing in the late lifespan
Authors: Fastame Maria Chiara , Manca Cristina , Mulas Ilaria , Ruiu Marilena 
Published: March 2024

Abstract
Background
Flourishing is a primary dimension of psychological well-being that contributes massively to the development of an active, purposeful, and respectful life, full of meaning, values, and personal interests that nurture social ties.

Aims
This study primarily intended to examine the contribution of satisfaction with family relations, resilience, metacognitive efficiency, and crystallized intelligence in predicting a flourishing measure in cognitively healthy older adults. Moreover, the impact of gender was investigated on flourishing, satisfaction with family ties, resilience, and metacognitive efficiency.

Methods
One hundred and eighty 65–94-year-old community dwellers were recruited in Sardinia (Italy). Participants self-rated their flourishing, satisfaction with their family connections, psychological hardness (i.e., a dimension of resilience), and cognitive function, whereas global cognitive efficiency and vocabulary were assessed through two internationally validated objective tests.

Results
A hierarchical regression analysis revealed that 30% of the variance in the flourishing condition was explained by satisfaction with family ties, resilience, and metacognitive efficiency. In addition, males exhibited higher flourishing and satisfaction with family ties than females, and the former group also reported being more autonomous and acting proactively to influence its destiny.

Conclusion
Emotional support and rewarding relations with family members, the ability to face stressful events, and a good perception of one’s cognitive efficiency play a crucial role in promoting flourishing in late adulthood.
Nomogram predicting the efficacy of transurethral surgery in benign prostatic hyperplasia patients
Authors: Zhou Jing , Peng Zhu-Feng , Yang Lu-Chen , Liu Sheng-Zhuo , Song Pan , Liu Zheng-Huan , Wang Lin-Chun , Chen Jun-Hao , Ma Kai , Yu Yun-Fei , Liu Liang-Ren , Dong Qiang 
Published: March 2024

Abstract
Purpose
This study aimed to develop and validate a nomogram for predicting the efficacy of transurethral surgery in benign prostatic hyperplasia (BPH) patients.

Methods
Patients with BPH who underwent transurethral surgery in the West China Hospital and West China Shang Jin Hospital were enrolled. Patients were retrospectively involved as the training group and were prospectively recruited as the validation group for the nomogram. Logistic regression analysis was utilized to generate nomogram for predicting the efficacy of transurethral surgery. The discrimination of the nomogram was assessed using the area under the receiver operating characteristic curve (AUC) and calibration plots were applied to evaluate the calibration of the nomogram.

Results
A total of 426 patients with BPH who underwent transurethral surgery were included in the study, and they were further divided into a training group (n = 245) and a validation group (n = 181). Age (OR 1.07, 95% CI 1.02–1.15, P < 0.01), the compliance of the bladder (OR 2.37, 95% CI 1.20–4.67, P < 0.01), the function of the detrusor (OR 5.92, 95% CI 2.10–16.6, P < 0.01), and the bladder outlet obstruction (OR 2.21, 95% CI 1.07–4.54, P < 0.01) were incorporated in the nomogram. The AUC of the nomogram was 0.825 in the training group, and 0.785 in the validation group, respectively.

Conclusion
The nomogram we developed included age, the compliance of the bladder, the function of the detrusor, and the severity of bladder outlet obstruction. The discrimination and calibration of the nomogram were confirmed by internal and external validation.
Diagnosis of Gallbladder Disease Using Artificial Intelligence: A Comparative Study
Authors: Obaid Ahmed Mahdi , Turki Amina , Bellaaj Hatem , Ksantini Mohamed 
Published: March 2024

AbstractGallbladder (GB) disease is a common pathology that needs correct and early diagnosis for the optimum medical treatment. Early diagnosis is crucial as any delay or misdiagnosis can worsen the patient situation. Incorrect diagnosis could also lead to an escalation in patient symptoms and poorer clinical outcomes. The use of Artificial Intelligence (AI) techniques, ranging from Machine Learning (ML) to Deep Learning (DL) to predict disease progression, identify abnormalities, and estimate mortality rates associated with GB disorders has increased over the past decade. To this end, this paper provides a comprehensive overview of the AI approaches used in the diagnosis of GB illnesses. This review compiles and compares relevant papers from the last decade to show how AI might enhance diagnostic precision, speed, and efficiency. Therefore, this survey gives researchers the opportunity to find out both the diagnosis of GB diseases and AI techniques in one place. The maximum accuracy rate by ML was when using SVM with 96.67%, whilst the maximum accuracy rate by DL was by utilising a unique structure of VGG, GoogleNet, ResNet, AlexNet and Inception with 98.77%. This could provide a clear path for further investigations and algorithm’s development to boost diagnostic results to improve the patient’s condition and choose the appropriate treatment.
Incidence, Prevalence, Risk Factors, and Clinical Treatment for Children with Developmental Dysplasia of the Hip in Saudi Arabia. A Systematic Review
Authors: Alrashdi Naif , Alotaibi Mansour , Alharthi Moqfa , Kashoo Faizan , Alanazi Sultan , Alanazi Ahmad , Alzhrani Msaad , Alhussainan Thamer , Alanazi Rami , Almutairi Rakan , Ithurburn Matthew 
Published: March 2024

Abstract
Background
Developmental dysplasia of the hip (DDH) leads to pain, joint instability, and early degenerative joint disease. Incidence, prevalence, and management strategies of DDH have been well-documented in several countries, but not in Saudi Arabia.

Objective
We synthesized the current evidence regarding incidence, prevalence, risk factors, and clinical treatment for children with DDH in Saudi Arabia.

Methods
We searched 3 databases to locate studies. Studies that included children with DDH in Saudi Arabia; reported either incidence rate, prevalence, risk factors, and/or clinical practice; and were available in English or Arabic were included. We excluded reviews, case studies, or animal studies. Two independent authors reviewed potential studies and assessed study’s quality.

Results
Our search yielded 67 potential studies, of which 16 studies were included (total DDH sample = 3,127; age range = 2.5 to 86.4 months). Three studies reported incidence rates ranging from 3.1 to 4.9 per 1000 births, and 3 studies reported prevalence ranging from 6 to 78%. Nine studies reported that female sex, breech position, family history, and age less than 3 years were risk factors associated with DDH. Four studies reported that brace applications and closed reduction were conservative treatments, and 9 studies reported that open hip reduction, adductor tenotomy, and/or pelvic osteotomy were surgical approaches to treat DDH.

Conclusions
In Saudi Arabia, the Incidence and prevalence rates of DDH are 3.1 to 4.9 per 1,000 births, and 6–78%, respectively (differ from what has been reported in other countries), but the risk factors of DDH in Saudi Arabia appear to be similar in comparison to other countries (female, breech presentation, family history of DDH).
Affine Algebraic Ricci Solitons Associated to the Yano Connections on Three-Dimensional Lorentzian Lie Groups
Authors: Azami Shahroud 
Published: March 2024

Abstract
In this paper, we compute curvatures of Yano connections on three-dimensional Lorentzian Lie groups with some product structure. We define affine algebraic Ricci solitons associated to Yano connections and classify left-invariant affine algebraic Ricci solitons associated to Yano connections on three-dimensional Lorentzian Lie groups.
Machine learning for detecting fake accounts and genetic algorithm-based feature selection
Authors: Sallah Amine , Abdellaoui Alaoui El Arbi , C.K. Tekouabou Stéphane , Agoujil Said 
Published: March 2024

Abstract
People rely extensively on online social networks (OSNs) in Africa, which aroused cyber attackers’ attention for various nefarious actions. This global trend has not spared African online communities, where the proliferation of OSNs has provided new opportunities and challenges. In Africa, as in many other regions, a burgeoning black-market industry has emerged, specializing in the creation and sale of fake accounts to serve various purposes, both malicious and deceptive. This paper aims to build a set of machine-learning models through feature selection algorithms to predict the fake account, increase performance, and reduce costs. The suggested approach is based on input data made up of features that describe the profiles being investigated. Our findings offer a thorough comparison of various algorithms. Furthermore, compared to machine learning without feature selection and Boruta, machine learning employing the suggested genetic algorithm-based feature selection offers a clear runtime advantage. The final prediction model achieves AUC values between 90% and 99.6%. The findings showed that the model based on the features chosen by the GA algorithm provides a reasonable prediction quality with a small number of input variables, less than 31% of the entire feature space, and therefore permits the accurate separation of fake from real users. Our results demonstrate exceptional predictive accuracy with a significant reduction in input variables using the genetic algorithm, reaffirming the effectiveness of our approach.
Topology of moduli spaces of curves and anabelian geometry in positive characteristic
Authors: Hu Zhi , Yang Yu , Zong Runhong 
Published: March 2024

Abstract
In the present paper, we study a new kind of anabelian phenomenon concerning the smooth pointed stable curves in positive characteristic. It shows that the topology of moduli spaces of curves can be understood from the viewpoint of anabelian geometry. We formulate some new anabelian-geometric conjectures concerning tame fundamental groups of curves over algebraically closed fields of characteristic

$p>0$

from the point of view of moduli spaces. The conjectures are generalized versions of the Weak Isom-version of the Grothendieck conjecture for curves over algebraically closed fields of characteristic

$p>0$

which was formulated by Tamagawa. Moreover, we prove that the conjectures hold for certain points lying in the moduli space of curves of genus

$0$

.
Optimising business models through digital alignment and strategic flexibility: Evidence from the manufacturing industry
Authors: Ciacci Andrea , Balzano Marco , Marzi Giacomo 
Published: March 2024

Abstract
The increasing integration of digital technologies in business processes calls for a deeper understanding of their impact on business model efficiency. This study explores how digital alignment, composed by strategic decision support and operational support, affects business model efficiency, while also examining the extent to which strategic flexibility moderates this relationship. To test the proposed hypotheses, we adopt a quantitative approach on a sample of Italian small and medium-sized enterprises in the manufacturing industry. In particular, a regression analysis, complemented by a necessary condition analysis, is performed. We find that digital alignment, both in terms of strategic decision support and operational support, fosters business model efficiency. Strategic flexibility strengthens the relationship between strategic decision support and business model efficiency. To the best of our knowledge, this study is the first to operationalise digital alignment as composed of strategic decision support and operational support. Accordingly, this study contributes to the extant literature on digital alignment and business models.
Distribution and isotopic compositions of n-alkanes and n-alkenes in the cryoconites from the Tibetan Plateau glaciers
Authors: Li Quanlian , Kang Shichang , Wang Shijin , Wang Ninglian , Wu Xiaobo , Sajjad Wasim , Yang Huan , Li Yao , Wu Jingquan 
Published: March 2024

Abstract
In the current study, cryoconite samples were collected from six glaciers on the Tibetan Plateau to analyze n-alkanes and n-alkenes. The findings revealed that the concentrations of n-alkanes and n-alkenes varied from 40.1 to 496.1 μg g−1 and from 4.6 to 13.8 μg g−1, respectively. The carbon preference index of the long-chain n-alkanes ranged from 3.3 to 8.4, and the average chain length ranged from 28.7 to 29.3. Moreover, the δ13C of the n-alkanes in cryoconites were within the range of C3 plants, demonstrating that the n-alkanes in cryoconites were only derived from vascular plants. However, the δDmean were more negative than that of C3 plants, which could be caused by dry and humid conditions of glaciers. Unlike n-alkanes, n-alkenes ranged from C17:1 to C30:1 and showed a weak even-over-odd carbon number preference in the Dongkemadi, Yuzhufeng, Laohugou and Tianshan glacier, but a weak odd carbon preference in the Qiyi glacier. The n-alkenes in the YL Snow Mountains showed an obvious odd-over-even carbon number predominance from C17:1 to C22:1 with Cmax at C19:1, and the even-over-odd carbon number preference from C23:1 to C30:1 with Cmax at C28:1. This demonstrated that the n-alkenes of cryoconites may be mainly derived from in situ production in glaciers.
Factors influencing wine ratings in an online wine community: The case of Trentino–Alto Adige
Authors: Gastaldello Giulia , Schäufele-Elbers Isabel , Schamel Günter 
Published: March 2024

AbstractConsumers often struggle to make their choice in the highly diversified wine market. With wine being an experience good, consumers must rely on extrinsic characteristics, e.g., information on the label. Thus, easily available quality signals like consumer ratings have become an increasingly useful and widespread tool. Vivino is one of the largest online wine communities with over 60 million users, which have more than doubled since 2018. Hence, users have easy access to peer ratings, while established wine expert ratings are being challenged. This study analyzes data from Vivino to explore factors affecting consumer ratings at different price points, considering several wine attributes like geographical indications, brand, and the so-called “community effect.” We show that there is a small but significant community effect on wine's perceived quality related to its popularity among users of the Vivino community, as well as effects from specific wine attributes. Moreover, we estimate a hedonic quantile model on similar price ranges to compare the effect of the same regressors on wine prices. Results contribute to a better understanding of how different factors affect consumers’ wine evaluations, allowing to compare their effect on the “pure” consumer preference (i.e., consumer ratings) and market value.
Rise and diversification of chondrichthyans in the Paleozoic
Authors: Schnetz Lisa , Dunne Emma M. , Feichtinger Iris , Butler Richard J. , Coates Michael I. , Sansom Ivan J. 
Published: March 2024

AbstractThe Paleozoic represents a key time interval in the origins and early diversification of chondrichthyans (cartilaginous fishes), but their diversity and macroevolution are largely obscured by heterogenous spatial and temporal sampling. The predominantly cartilaginous skeletons of chondrichthyans pose an additional limitation on their preservation potential and hence on the quality of their fossil record. Here, we use a newly compiled genus-level dataset and the application of sampling standardization methods to analyze global total-chondrichthyan diversity dynamics through time from their first appearance in the Ordovician through to the end of the Permian. Subsampled estimates of chondrichthyan genus richness were initially low in the Ordovician and Silurian but increased substantially in the Early Devonian. Richness reached its maximum in the middle Carboniferous before dropping across the Carboniferous/Permian boundary and gradually decreasing throughout the Permian. Sampling is higher in both the Devonian and Carboniferous compared with the Silurian and most of the Permian stages. Shark-like scales from the Ordovician are too limited to allow for some of the subsampling techniques. Our results detect two Paleozoic radiations in chondrichthyan diversity: the first in the earliest Devonian, led by acanthodians (stem-group chondrichthyans), which then decline rapidly by the Late Devonian, and the second in the earliest Carboniferous, led by holocephalans, which increase greatly in richness across the Devonian/Carboniferous boundary. Dispersal of chondrichthyans, specifically holocephalans, into deeper-water environments may reflect a niche expansion following the faunal displacement in the aftermath of the Hangenberg extinction event at the end of the Devonian.
Research and experiment on active training of lower limb based on five-bar mechanism of man-machine integration system
Authors: Sun Jianghong , Hu Fuqing , Gao Keke , Gao Feng , Ma Chao , Wang Junjian 
Published: March 2024

AbstractIn view of the fact that the current research on active and passive rehabilitation training of lower limbs is mainly based on the analysis of exoskeleton prototype and the lack of analysis of the actual movement law of limbs, the human-machine coupling dynamic characteristics for active rehabilitation training of lower limbs are studied. In this paper, the forward and inverse kinematics are solved on the basis of innovatively integrating the lower limb and rehabilitation prototype into a human-machine integration system and equivalent to a five-bar mechanism. According to the constraint relationship of hip joint, knee joint and ankle joint, the Lagrange dynamic equation and simulation model of five-bar mechanism under the constraint of human physiological joint motion are constructed, and the simulation problem of closed-loop five-bar mechanism is solved. The joint angle experimental system was built to carry out rehabilitation training experiments to analyze the relationship between lower limb error and height, weight and BMI, and then, a personalized training planning method suitable for people with different lower limb sizes was proposed. The reliability of the method is proved by experiments. Therefore, we can obtain the law of limb movement on the basis of traditional rehabilitation training, appropriately reduce the training speed or reduce the man-machine position distance and reduce the training speed or increase the man-machine distance to reduce the error to obtain the range of motion angle closer to the theory of hip joint and knee joint respectively, so as to achieve better rehabilitation.
Video-mediated collaborative lesson planning in virtual exchange among transnational teams of pre-service language teachers
Authors: Ekin Semih , Balaman Ufuk 
Published: March 2024

AbstractVirtual exchange (VE) projects in pre-service language teacher education are increasingly being recognized as an innovative practice due to their affordances for providing teacher learning opportunities in technology-rich environments. This study aims to report these opportunities based on results from a VE project consisting of diverse teacher education activities, including lectures, webinars, asynchronous tasks, and synchronous video-mediated interactions. This project provides a medium for pre-service teachers to collaboratively design a lesson to be implemented in hybrid language learning environments. We specifically deal with the video-mediated interactions of the transnational groups of pre-service language teachers using multimodal conversation analysis (CA) as the research methodology and investigate VE phases to explore how their interactions become consequential for the final pedagogical design. The findings show that the pre-service teachers retrospectively orient to shared practices in the earlier phases of the VE project, and the deployment of retrospective orientation as an interactional resource creates interactional space for collaborative decision-making related to their pedagogical designs. We argue that tracking the video-mediated pedagogical interactions of the pre-service teachers using CA is a methodological innovation that allows researchers to collect interactional evidence for the emergent teacher learning opportunities. The findings bring new insights to the role of the technology-mediated settings (e.g. VEs and telecollaboration) in language learning, teaching, and teacher education and in bridging different cultures, curricula, and physical spaces.
Genetic dissection of advanced soybean (Glycine max L.) germplasm for spring season cultivation in Pakistan
Authors: Ghuman Hasham Feroz , Ahmed Zaheer , Sadia Bushra , Awan Faisal Saeed 
Published: March 2024

AbstractImprovement in genetic gains of crops could be achieved by phenomics' characterization of agronomic, physiological and stress-related traits. Molecular and strategic breeding programmes require broad range of foreground and background phenotypic information for crop improvement. The current experiment was performed on 123 advanced soybean (Glycine max L.) genotypes including seven local lines belongs to four different maturity groups (000-lV) to estimate the endogenous potential of various yield-related traits. The experimental trial was repeated for two cropping seasons. Four traits out of six, yield per plant (YPP), number of seeds per plant, number of pods per plant and plant height (PH), showed maximum variation (CV%) that directly correlate with variability in the subjected population. PH, number of pods, 100-seed weight and YPP showed strong positive correlation in both years. Among the principal components, factors 1 and 2 showed maximum contribution in phenotypic variability ranges from 19 to 48.5% and 26 to 47.7% in the first and second years, respectively. Number of pods showed significant positive correlation with genotypes in both years. Dendrogram showed two distinct groups of soybean genotypes. Genetic variation and association among the accessions is indispensable for effective conservation and utilization of germplasm. Principal component analysis helps to identify the diverse genotypes that will be used as a parent for various breeding programmes. These phenotypic data will be used for detection of heat stress-related quantitative trait loci with genotypic data in genome-wide association studies experiments.
Heitor Villa-Lobos and the Traces of Coloniality in Andrés Segovia's Guitar Repertoire
Authors: Achondo Luis 
Published: March 2024

AbstractAndrés Segovia's repertoire—the repertorio segoviano—has crucially shaped the guitar canon. Although some guitar scholars argue that these works helped rescue the instrument from the periphery of art music, others contend that, by commissioning music from minor, conservative composers, Segovia missed the chance to request pieces from the most influential twentieth-century modernists. This article questions the conservative homogeneity of the repertorio segoviano. Focusing on Segovia's collaborations with Heitor Villa-Lobos, I argue that it contains traces of coloniality: The perpetuation of colonial domination in Latin America. The relationship between Segovia and Villa-Lobos was more contentious than the official narrative suggests—tensions stemming from their dominant personalities, divergent approaches to guitar composition, and conflicting musical ideologies. Indeed, although Segovia's stance aligned with Francoist and European conservative aesthetics, Villa-Lobos embraced a transcultural approach to music shaped by, a response to, and exertion of the coloniality of power—discrepancies that were engraved in their collaborations and ultimately the repertorio segoviano. This article ultimately foregrounds that elite composers from the periphery played an essential role in the modernization of the guitar in the twentieth century, thereby questioning historiographies that detach the instrument from the social, political, and cultural messiness of colonial difference and the coloniality of power.