bluuebunny/crossref_metadata_2025_split huggingface dataset:
The offshore Alicante Basin: Late Neogene basin development at the Internal-External Zone Boundary of the eastern Betics, SE Spain
Authors: de Ruig Menno 
Published: September 2024

Abstract

The offshore Alicante Basin is a late Neogene post-orogenic basin located at the northeastern end of the Eastern Betic Shear Zone of southeastern Spain. Based on the integration of legacy 2D seismic data, well data and outcrop geology, this paper provides a comprehensive review and analysis of its stratigraphy, structural geometry and tectonic evolution. The basin was formed as an extensional basin in latest Serravallian-early Tortonian time (ca. 11.5 Ma), accumulating 1500-2000m of marine sediments of Tortonian-Recent age. The basin overlies the tectonic boundary between the low-grade metamorphic Alpujarride units of the Internal Zone, and the non-metamorphic Mesozoic to Middle Miocene sedimentary rocks of the External Zone of the Betic Cordilleras. This Internal-External Zone Boundary is formed by a north-dipping backthrust that was reactivated in Tortonian as extensional basin bounding fault. Active extensional faulting ceased at around 8 Ma, followed by a phase of compression that resulted in basin inversion and basin margin uplift in Late Pliocene-Pleistocene time. Strike-slip tectonics related to the Crevillente Fault and the Eastern Betic Shear Zone appear to have played a minor role in the structuration of the basin, but may have shaped the structure of the Tabarca Ridge and Mazarron Escarpment at the southern margin of the basin. The basin appears to form a boundary zone separating predominantly strike–slip faulting to the south and southwest from predominantly normal faulting to the north, accommodating recent compression at the northern end of the EBSZ.
Vascular Hemodynamic Effects of Penille Revascularization Surgery and the Role of Resisti̇ve Index in Follow-up
Authors: AKDEMİR Fatih , Kayıgil Önder 
Published: September 2024

Abstract

Purpose
The aim of this study is to measure the effects of penile revascularization on penile vascular hemodynamics and to determine the importance of resistive index in postoperative patient follow-up.
Methods
In this study A total of 35 patients were opereted. In the preoperative period and at the 3rd postoperative month, penile color doppler ultrasonography was performed to evaluate cavernosal arteries, dorsal arteries, deep dorsal vein and inferior epigastric artery separately. During this evaluation, peak systolic velocity, end diastolic velocity, and resistive index were measured. The International Index of Erectile Function questionnaire was applied in the preoperative period and at the 3rd postoperative month.
Results
The average preoperative resistive index values of the operated cases were determined as 0.74 ± 0.07/0.73 ± 0.09 cm/s for the right cavernosal artery and left cavernosal artery, respectively. The same values were found as 0.95 ± 0.09/0.96 ± 0.06 cm/s at the last postoperative control. The average International Index of Erectile Function − 5, 15 scores were determined as 8.52 ± 4.83, 19.4 ± 8.54, respectively, in the preoperative period, and 15.26 ± 4.50, and 35.76 ± 13.65, respectively, at the last postoperative follow-up.
Conclusion
This study showed that the resistive index can be used in the diagnosis of vascular originated erectile dysfunction and in the postoperative follow-up of the patients.
Trial registration number and date of registration:
NCT06350019 / 04/03/2024 (retrospectively registered)
Metal Organic Framework (MOF-808) Incorporated Composite Solid Polymer Electrolyte for Stable All- Solid-State Lithium Batteries
Authors: Hong Zexing , Li Peize , Zou Qiyao , Gu Long , Wang Jianwen , Deng Liting , Wang Chao , Zhang Yuying , Li Mengxian , Chen Jiajun , Yang Chunzhen 
Published: September 2024

Abstract

All solid-state lithium-ion batteries (ASSBs) are emerging as promising candidates for power applications in electric vehicles and various energy storage systems, garnering significant research interest. However, enhancing the Li+ conductivity and solid polymer electrolyte (SPE) stability have been persistent challenges in the field. This work demonstrates a novel approach to fabricating a composite SPE with uniformly dispersed porous MOF-808 particles in a poly(ethylene oxide) (PEO) matrix, mixed with LiTFSI salt. The resulted composite SPE exhibits a 20-fold increase in ion conductivity (9.7×10− 4 S cm-1 at 60°C), and an expanded electrochemical window up to 4.8 V. Assembled ASSB with LiFePO4 cathodes and Li metal anodes under 50 MPa pressure show good specific capacity (140.3 mAh g-1) and excellent cycling stability (93.5% capacity retention). This composite SPE has also demonstrated excellent compatibility with the high-voltage cathode material NCM811, exhibiting superior electrochemical stability. Results of this work highlight the use of MOF materials in SPE, advancing the development of next-generation solid-state batteries.
Enhanced Disease Detection in Pomegranate Cultivation Using PF-CNN: A Deep Learning Approach for Improved Yield and Quality Management
Authors: Ratha Ashoka Kumar , Sethy Prabira Kumar , BEHERA SANTI KUMARI 
Published: September 2024

Abstract

Fruit cultivation is a key contributor to the agricultural economy, with pomegranate being particularly valued for its high nutritional content, including antioxidants, vitamins, and fiber. Pomegranate crops are frequently susceptible to various diseases, which can lead to a significant reduction in both yield and quality. In this study, we propose a novel method for disease detection in pomegranates, utilizing a Poolingmean/max and FilteringMedian technique based on the Convolutional Neural Network (PF-CNN). The methodology integrates median filtering with Poolingmean/max, followed by relevant extraction of features through transfer learning from a pretrained ResNet101 architecture. The fruit images are segmented into 3x3 grids, with each segment subjected to median filtering and pooling operations before being recombined. The PF-CNN model's performance is assessed using a Support Vector Machine (SVM) classifier. Research outcomes reveal a robust classification accuracy of 96.21% across five distinct categories, including various diseases and healthy states of pomegranate fruit. This model facilitates the timely identification of diseases, enabling users to implement appropriate interventions and improve disease management strategies in pomegranate cultivation.
Coding Companion: Elevating Learning Through an AI-Enhanced Code Editor
Authors: Ansari Nashrah , Misal Sharlene , Fernandes Andrea , Mirza Imran Ali 
Published: September 2024

Abstract

In today's digital landscape, programming proficiency is essential across diverse domains. However, mastering fundamental concepts, such as basic Python programs and algorithms like searching and sorting, remains challenging for novice learners. Coding Companion, an innovative AI-enhanced code editor designed to tackle this challenge. Leveraging advanced AI models, Coding Companion offers comprehensive error detection capabilities, including identifying missing semicolons, incorrect indentation, logical errors, and common programming mistakes. It provides real-time, personalized suggestions for code completion and optimization, guiding learners through the coding process with precision. While formal studies have highlighted the transformative potential of AI-powered tools like GitHub Copilot in improving developer productivity, Coding Companion aims to set new standards in supporting learners. Anticipated improvements in learning outcomes include a significant increase in code quality, efficiency, and learning acceleration, particularly in mastering algorithms such as searching and sorting. By embracing its adaptive learning approach, students can deepen their understanding of key algorithmic concepts, including searching and sorting, and enhance their problem-solving skills.
Facies and diagenesis of early Cambrian patch-reefs in the inner Siberian Craton (Nepa-Botuoba anteclise)
Authors: Chertina Kseniya Nikolaevna , Maksimova Elizaveta N. , Vilesov Aleksandr P. , Zhuravlev Andrey Yu. , Zyuzev Evgeniy S. , Shul’ga Roman S. 
Published: September 2024

Abstract

Early Cambrian strata of the Siberian Craton accumulated within several relatively isolated basins of a tropical epeiric sea. The larger central part of the craton was occupied by the Turukhansk-Irkutsk-Olekma epicratonic carbonate platform. During Cambrian Stage 2 (Siberian Tommotian Stage, Osa horizon), the inner part of this platform was a mosaic of vast local uplifts characterized by a variety of shallow-water facies and separated by inner shelf depressions with condensed argillaceous carbonates. These shallow-water uplifts, such as the Nepa-Botuoba anteclise, yielded patch reefs having a distinct ring-shaped structure according to the common depth point 3-D seismic exploration method. Detailed studies of drill cores penetrating these buildups revealed an complicated facies complex within patch reefs and inter-reef depressions. The patch reefs themselves were differentiated into facies comprising a reef core, an inner reef lagoon, reef flanks and talus. These facies differed by assemblages and morphologies of reef-builders, relative abundance of mud and debris as well as by the composition and primary porosity patterns of early marine cements. Petrographic analyses show that different diagenetic pathways and porosity patterns relate to the primary composition of the patch reef. The most striking aspect of these early Cambrian reefs was the absence of metazoans and the dominance of microbial reef-builders although stromatolites were not formed and ooidal shoals were not accumulated.
Pioneering precision in markerless strain development for Synechococcus sp. PCC 7002
Authors: Tsuji Ayaka , Inabe Kosuke , Hidese Ryota , Kato Yuichi , Domingues Lucília , Kondo Akihiko , Hasunuma Tomohisa 
Published: September 2024

Abstract

Marine cyanobacteria such as Picosynechococcus sp. (formerly called Synechococcus sp.) PCC 7002 are promising chassis for photosynthetic production of commodity chemicals with low environmental burdens. Genetic engineering of cyanobacteria conventionally employs antibiotic resistance markers. However, limited availability of antibiotics is a problem for highly multigenic strain engineering. Although several markerless transformation methods have been developed for PCC 7002, they often lack versatility due to the requirement of gene disruption in the host strain. To achieve markerless transformation in Synechococcus sp. with no requirements for the host strain, this study developed a method in which temporarily introduces a mutated phenylalanyl-tRNA synthetase gene (pheS) into the genome for counter selection. Amino acid substitutions in the PheS that cause high susceptibility of PCC 7002 to the phenylalanine analogue p-chlorophenylalanine were examined, and the combination of T261A and A303G was determined as the most suitable mutation. The mutated PheS-based selection was utilized for the markerless knockout of the nblA gene in PCC 7002. In addition, the genetic construct containing the lldD and lldP genes from Escherichia coli was introduced into the ldhA gene site using the counter selection strategy, resulting in a markerless recombinant strain. The repeatability of this method was also demonstrated, suggesting it will be a powerful tool for multigenic strain engineering of cyanobacteria.
Impact of women's sexual health
Authors: Mboudou Michel Salomon 
Published: September 2024

Abstract

Introduction:
Prostate cancer is a significant health issue for men. This study investigates whether women’s sexual health and relationship satisfaction influence prostate cancer risk in their male partners.
Methods:
We conducted a prospective cohort study involving 1,000 heterosexual couples where the male partner was over 40 years old. Couples in stable relationships with no prior history of prostate cancer were included. Baseline data included demographic information, medical history, lifestyle factors, the Female Sexual Function Index (FSFI), and the Dyadic Adjustment Scale (DAS) to assess women's sexual health and relationship satisfaction. Sexual activity frequency was also recorded. Participants were followed annually for 10 years to track prostate cancer incidence in men. We used Pearson correlation and multivariate Cox proportional hazards regression for statistical analysis.
Results:
We found a significant negative correlation between FSFI scores and prostate cancer incidence (r = -0.42, p < 0.05). Higher DAS scores and more frequent sexual activity were also associated with a reduced risk of prostate cancer (r = -0.35 and r = -0.38, respectively, both p < 0.05). These results suggest that better sexual function and relationship satisfaction in women are linked to a lower risk of prostate cancer in their male partners.
Conclusion:
Women’s positive sexual health and relationship satisfaction may reduce prostate cancer risk in men. These findings underscore the importance of considering partner dynamics in prostate cancer prevention strategies and encourage further research into underlying mechanisms.
Exploring Diazotrophic Diversity: Unveiling Nif Core Distribution and Evolutionary Patterns in Nitrogen-Fixing Organisms
Authors: Nichio Bruno Thiago de Lima , Chaves Roxana Beatriz Ribeiro , Pedrosa Fábio Oliveira , Raittz Roberto Tadeu 
Published: September 2024

Abstract

Background Diazotrophs carry out biological nitrogen fixation (BNF) using the nitrogenase enzyme complex (NEC), which relies on nitrogenase encoded by nif genes. Horizontal gene transfer (HGT) and gene duplications have created significant diversity among these genes, making it challenging to identify potential diazotrophs. Previous studies have established a minimal set of Nif proteins, known as the Nif core, which includes NifH, NifD, NifK, NifE, NifN, and NifB. This study aimed to identify potential diazotroph groups based on the Nif core and to analyze the inheritance patterns of accessory Nif proteins related to Mo-nitrogenase, along with their impact on N2 fixation maintenance.Results In a systematic study, 118 diazotrophs were identified, resulting in a database of 2,156 Nif protein sequences obtained with RAFTS³G. Using this Nif database and a data mining strategy, we extended our analysis to 711 species and found that 544 contain the Nif core. A partial Nif core set was observed in eight species in this study. Finally, we cataloged 662 species with Nif core, of which 52 were novel. Our analysis generated 10,076 Nif proteins from these species and revealed some Nif core duplications. Additionally, we determined the optimal cluster value (k = 10) for analyzing diazotrophic diversity. Combining synteny and phylogenetic analyses revealed distinct syntenies in the nif gene composition across ten groups.Conclusions This study advances our understanding of the distribution of nif genes, aiding in the prediction and classification of N₂-fixing organisms. Furthermore, we present a comprehensive overview of the diversity, distribution, and evolutionary relationships among diazotrophic organisms associated with the Nif core. The analysis revealed the phylogenetic and functional organization of different groups, identifying synteny patterns and new nif gene arrangements across various bacterial and archaeal species.
Efficiency estimation, comparison and explanation of Chinese power grid companies in two periods: Based on stochastic frontier cost models
Authors: Appolloni Andrea , Yin Yong , Li Hong-Zhou 
Published: September 2024

Abstract

This study aims to estimate, compare, and explainefficiency levels of China’s power grid sector in the before- and after-2015 regulatory reform period by using six different stochastic frontier models with a panel data set covering 23 provincial power grid companies in mainland China and spanning 2006-2021. Empirical results show that efficiency scores range from 0.737 to 0.974, depending on models used. What is important is that there are no statistically significant differences in efficiency levels between the pre- and post-regulatory reform period. To explain the reasons behind these surprising results, the study firstly links these outcomes to the internal benchmarks and incredible regulatory commitments of the 2015 revenue cap regime and then relates the characteristics of the 2015 revenue cap regime to background social and political institutions. Finally, some suggestions for both China and other developing countries that may consider introducing best practices from developed countries are put forward.
Sentiment Analysis in Sign Language
Authors: Takır Şeyma , Bilen Barış , Arslan Doğukan 
Published: September 2024

Abstract

In sign languages, communication relies on hand gestures, facial expressions, and body language, with signs varying significantly based on the position and movement of different body parts. These variations present challenges to tasks like sentiment analysis, where the direct translation of hand gestures alone is insufficient. In this study, we introduce a novel approach to sentiment analysis in Turkish Sign Language (TİD), marking the first time in the literature that both hand gestures and facial expressions have been incorporated for this purpose. We developed and fine-tuned customized models for emotion extraction from facial expressions using the RAF-DB dataset, and for sentiment analysis from hand gestures using the AUTSL dataset. Additionally, we compiled a dataset of sign language videos enhanced with facial expressions for testing. Our findings indicate that facial expressions are more critical for sentiment analysis in sign language than hand gestures alone. However, integrating both modalities resulted in even greater performance enhancements.
Cocreative Development of Robotic Interaction Systems for Health Care: Scoping Review
Authors: Müller Pascal , Jahn Patrick 
Published: September 2024

Abstract

Background
Robotic technologies present challenges to health care professionals and are therefore rarely used. Barriers such as lack of controllability and adaptability and complex control functions affect the human-robot relationship. In addition to educational opportunities, the possibility of individual adaptation can improve the usability and practical implementation of robotics. Previous work has focused on developments from a technology-centered perspective and has included user interests too late in the process.

Objective
This study addresses the following research question: What cocreative research approaches are used in the field of nursing robotics to improve the usability, intended use, and goal-directed application of robotic developments for nurses and to support the nursing process?

Methods
This scoping review provides an overview of the topic and the research activities taking place within it. Five databases and the reference lists of the identified publications were searched for studies without further restrictions. Studies were included if they developed and evaluated interaction and control platforms for robotic systems in health care in a cocreative way with end users.

Results
The search resulted in 419 hits, of which 3 publications were included. All publications were feasibility or user studies that were mainly carried out in the European Union. The 3 interaction and control platforms presented were all prototypes and not commercially available. In addition to those in need of care, all studies also included family carers and health care professionals.

Conclusions
Robotic interaction and control platforms in health care are rarely, if ever, developed and evaluated with feasibility or user studies that include prototypes and end users. While the involvement of end users is crucial, this review emphasizes that all stakeholders, including health care professionals, should participate in the development process to ensure a holistic understanding of application needs and a focus on user experiences and practical health care needs. It is emphasized that the active involvement of end users in the development process is critical to effectively meeting the needs of the target group.
State and dynamics of zooplankton in Kazan Bayof the Kuibyshev Reservoir in 2018
Authors: Любин П.А. 
Published: September 2024

В вегетационный период 2018 г. исследованы состав и динамика зоопланктона Казанского залива Куйбышевского водохранилища. Выявлено 69 таксонов зоопланктона. За время наблюдений видовое богатство зоопланктона составило 9 ± 1 таксонов на станцию, численность – 221.9±32.1 тыс. экз./м3, биомасса – 1.6 ± 0.5 г/м3, среднее значение суточной продукции – 0.124 ± 0.034 г/м3 в сутки. В динамике количественных характеристик зоопланктона выявлены два пика – в июне и августе, что характерно для мезотрофных озер умеренных широт в соответствии PEG- моделью Зоммера. Двухфакторный ANOSIM-анализ, выполненный на основании сходства станций по вкладу видов в общую продукцию, показал влияние на структуру зоопланктонных сообществ таких факторов, как месяц отбора проб (R = 0.472) и удаленность от нижней границы устья залива (R = 0.279) при уровне статистической значимости p = 0.1%. Фактор расположения станций относительно берегов и русла не имел значимого влияния на состав зоопланктона (R = −0.028 при p = 94.1%). Загрязнение Казанского залива в 2018 г. соответствовало среднемноголетнему уров- ню, β-мезосапробной зоне, что характеризовало воды как умеренно загрязненные.
During the growing season of 2018, the composition and dynamics of zooplankton in the Kazan Bay of the Kuibyshev Reservoir were studied. In total, 69 zooplankton taxa were identifi the species richness of zooplankton was 9 ± 1 taxa per station, abundance, 221.9 ± 32.1 thous. ind./m3, biomass, 1.6 ± 0.5 g/m3, average daily production, 0.124 ± 0.034 g/m3 per day. Two peaks were observed in the dynamics of quantitative characteristics of zooplankton (in June and in August), which was typical for mesotrophic lakes of temperate latitudes in accordance with Sommer’s PEG model. Two-factor ANOSIM analysis, performed on the basis of the similarity of stations in terms of the contribution of species to total production, evidenced on the infl of the month of sampling (R = 0.472; p = 0.001) and distance from the lower boundary of bay mouth (R = 0.279; p = 0.001) on the structure of zooplankton communities. The factor of station location relative to the banks and riverbed did not have a signifi eff on the compo- sition of zooplankton (R = −0.028; p = 0.94). Pollution in the Kazan Bay in 2018 corresponded to the long- term average level in the β-mesosaprobic zone, which characterized the waters as moderately polluted.