bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dispersal of land snails: How far can a snail drift?
Authors: Podroužková Štěpánka , Lucie Juřičková , Adam Čabla 
Published: December 2024

Abstract

Passive transport is an important way of spreading to new localities for slow-moving animals such as snails. Such modes of transport, often mentioned in the literature, include zoochoria or various human means of transportation. Watercourses are neglected in this regard, although they have been previously discussed as river corridors and proven routes for spreading certain plant species. Land snails can use them to move across recently fragmented landscapes, which may have helped snails shift ranges during the Quaternary climate cycle. We tested how such dispersal can occur in the field on two streams of different sizes with snails of two size categories. Our analysis revealed no statistically significant differences between the distances travelled by the species of varying shell sizes in the small stream. However, in the river, smaller shells travelled further than larger ones. Our experiment suggests that land snails spread along watercourses in small steps, colonising new habitats step by step rather than over long distances.
Network pharmacology and molecular docking simulation uncovered the potential of hexacyclinic acid as anti-osteoarthritis by regulating IL-17 signaling pathway
Authors: Setiawansyah Arif 
Published: December 2024

Abstract

This study employed network pharmacology to investigate the pharmacological potential of hexacyclinic acid and its mechanism of action. Disease prediction analysis identified osteoarthritis as the most promising target, with the IL-17 signaling pathway emerging as the most significant KEGG pathway. TNF-α and IL-1β were identified as key molecular targets within this pathway. Molecular docking simulations corroborated these findings, revealing favorable binding energies between hexacyclinic acid and TNF-α (-8.62 kcal/mol) and IL-1β (-8.76 kcal/mol). These results suggest that hexacyclinic acid may exert its anti-osteoarthritis effects by modulating the IL-17 signaling pathway, particularly through interactions with TNF-α and IL-1β. The strong binding affinities observed indicate a potentially high efficacy of hexacyclinic acid in targeting these inflammatory mediators. This research provides valuable insights into the potential therapeutic application of hexacyclinic acid in osteoarthritis treatment, highlighting its promise as a novel anti-inflammatory agent.
OrchidBase 6.0: Increasing the number of Cymbidium (Orchidaceae) genomes and new bioinformatic tools for orchid genome analysis
Authors: Chen You-Yi , Sun Ye , Li Chung-I , Lin Shao-Ting , Zheng Hao-Chen , Zhang Zhe-Bin , Lee Bing-Ru , Hsieh Chun-Lin , Hsiao Yu-Yun , Chow Chi-Nga , Yang Chien-Wen , Chang Wen-Chi , Chen Heming , Yang Feng-Xi , Zhu Gen-Fa , Zheng Qinyao , Zhou Cheng-Yuan , Zhao Zhuang , Ai Ye , Wang Lin-Ying , Chen Deqiang , He Xin , Huang Ming-Zhong , Peng Dong-Hui , Yu Hao , Lan Siren , Liu Zhong-Jian , Wu Wei-Sheng , Tsai Wen-Chieh 
Published: December 2024

Abstract

Background: Containing the largest number of species, the orchid family provides not only material for studying plant evolution and environmental adaptation, but also economically and culturally important ornamental plants for the human society. Previously, we collected genomic and transcriptomic information on Apostasia shenzhenica, Dendrobium catenatum, Phalaenopsis equestris, and two species of Platanthera that belong to three different subfamilies of Orchidaceae, and developed user-friendly tools to explore orchid genetic sequences in OrchidBase. The OrchidBase offers an opportunity for the plant science community to compare orchid genomes and transcriptomes, and retrieve orchid sequences for further study.
Description: Recently, three whole-genome sequences of the Epidendroideae species, Cymbidium sinense, C. ensifolium and C. goeringii, were sequenced de novo, assembled, and analyzed. In addition, the systemic transcriptomes of these three species have been established. We included these datasets to develop a new version of OrchidBase 6.0. Furthermore, four new analytical methods, namely regulation, updated transcriptome, advanced BLAST, and domain search, were developed for orchid genome analyses.
Conclusion: OrchidBase 6.0 extended genetic information to that of eight orchid species and created new tools for an expanded community curation in response to the ever-increasing volume and complexity of data.
Comparative Study of Airborne and In-situ Measured Radiation Dose Rates in Gidan- Kwano: Implications for Radiological Safety
Authors: Shittu H. O. , Olarinoye I. O. , Kolo M. , Olukotun S. F. , Mathuthu M. 
Published: December 2024

Abstract

This study compares airborne radiation dose rates with reported in-situ measurements in Gidan-Kwano, Minna, Niger State, Nigeria, using airborne radiometric data. The concentrations of 238U, 232Th, and 40K were mapped, revealing variations across lithological units. Maximum concentrations of 238U, 232Th and 40K were 846.35 Bqkg− 1, 31.84 Bqkg− 1, and 39.49 Bqkg− 1, respectively. Absorbed dose rates from airborne data ranged between 18.20 nGy/h and 68.86 nGy/h, with a mean of 31.65 nGy/h, significantly lower than the reported in-situ measurements, which ranged from 87.00 nGy/h to 252.30 nGy/h, with a mean of 136.75 nGy/h. The airborne data showed lower values than global mean of 59.00 nGy/h. Pearson correlation coefficient showed a weak positive correlation between airborne and in-situ measurements, attributed to factors such as photon attenuation, airborne measurement altitude, and geological variations. An isodose map highlighted higher dose rates in regions dominated by gneiss and granite formations. The findings suggest that while airborne data provide a broader overview, in-situ measurements are crucial for capturing localized variations, essential for radiological health assessments. The study serves as baseline data for future environmental monitoring, especially given recent mining activities in the area.
Personalized 3D-printed implant for thoracic vertebra body replacement after the total en bloc resection of a tumor with two-year follow up period
Authors: Aleinikov Viktor G. , Kerimbayev Talgat T. , Tuigynov Zhandos M. , Kenzhegulov Yergen N. , Zhamoldin Daniyar K. , Urunbayev Yerzhan A. , Abishev Nurzhan B. , Oshayev Meirzhan S. , Solodovnikov Makar P. , Akshulakov Serik K. 
Published: December 2024

Abstract

Background
This monocenter prospective study assessed the efficacy of 3D-printed personalized vertebral implants in reconstructing spinal stability following total en bloc spondylectomy (TES) for benign spinal tumors. Given the absence of specialized implants for post-resection reconstruction, this approach integrates 3D-printed implants for anatomical precision, stability, and improved postoperative outcomes.
Methods
Four patients who underwent TES and received customized 3D-printed vertebral implants were included. Data on surgical duration, blood loss, pain (VAS), and disability (ODI) were collected. Mechanical testing assessed implant durability, and follow-up evaluations were conducted over two years to monitor functional and neurological outcomes.
Results
The personalized implants demonstrated mechanical stability with no deformations at high loads. Post-surgical VAS and ODI scores showed significant improvements, reflecting reduced pain and enhanced functional outcomes. Neurological assessments indicated 75% of patients achieved full function recovery. CT imaging confirmed stable implant positioning, with no fixation failures or complications.
Conclusions
This study highlights the potential of 3D-printed implants for personalized spinal reconstruction, enhancing surgical planning and reducing procedure time and blood loss. Though promising, further research with larger cohorts is needed to establish long-term efficacy in various clinical settings.
Acl Tears in Female and Male Professional Soccer Players
Authors: Mazza Daniele , Carrozzo Alessandro , Annibaldi Alessandro , De Carli Francesco , Santoriello Vincenzo , Zeppilli Paolo , De Carli Angelo 
Published: December 2024

Abstract

Purpose: Women’s football has experienced significant growth, with approximately 29 million female players worldwide, emphasizing the need for research focused on injuries. Anterior cruciate ligament (ACL) ruptures are a major concern, particularly among elite players, and understanding gender differences in injury incidence and recovery is crucial for developing effective prevention and rehabilitation strategies.
Methods: This retrospective study analyzed ACL injuries in male and female players from the top five European leagues (Serie A, Premier League, Ligue 1, La Liga, and Bundesliga) during the 2022-2023. A total of 169 players (71 female, 101 male) who underwent ACL reconstruction were included. Data on age, body mass index (BMI), injury history, affected side, playing position, and return-to-play (RTP) outcomes were collected. Statistical analyses were performed using SPSS® software with a significance level of P < .05.
Results: Female players had a significantly longer average RTP (300 days) compared to male players (248 days) (P < .001). Furthermore, 3.5% of female athletes did not return to play, while 12.2% of male athletes failed to achieve RTP (P = .028). The defender position had the highest non-return rate (25%).
Conclusion: This study highlights significant gender differences in ACL injury recovery in professional football. Female athletes face longer rehabilitation periods and greater challenges in returning to play, indicating a need for tailored injury management strategies and position-specific rehabilitation programs. Further research and targeted interventions are essential to improve outcomes for female players, enhancing safety and career longevity.
Multifunctional electrolyte additive for high power lithium metal batteries at ultra-low temperatures
Authors: Liu Kai , Zhang Weili , Feng Qingqing , Lu Yang , Wang Hao , Cheng Guangyu , Liu Hao , Cao Qingbin , luo Zhenjun , Zhou Pan , Xia Yingchun , Hou Wenhui , Zhao Kun , Du Chunyi 
Published: December 2024

Abstract

Ultra-low temperature lithium metal batteries face significant challenges, particularly sluggish ion transport and uncontrolled lithium dendrite formation, especially under high power. An ideal electrolyte requires high carrier ion concentration, low viscosity, rapid desolvation, and stable interfaces. However, harmonizing these attributes remains a formidable task. Here, we designed and synthesized a multifunctional additive, perfluoroalkylsulfonyl quaternary ammonium nitrate (PQA-NO3), which features both cationic (PQA+) and anionic (NO3-) components. PQA+ reacts in situ with lithium metal to form an inorganic-rich solid-electrolyte interphase (SEI) that enhances Li+ transport through the SEI film. NO3- creates an anion-rich, solvent-poor solvation structure, improving oxidation stability at the cathode/electrolyte interface and reducing Li+-solvent interactions. This allows ether-based electrolytes to achieve high voltage tolerance, increased ionic conductivity, and lower desolvation energy barriers. The Li (40 µm)||NMC811 (3 mAh cm-2) cells with the developed electrolyte exhibited stable cycling at -60 ℃ and a 450 Wh kg-1 pouch cell retained 48.1% capacity at -85 ℃, achieving a remarkable energy density of 171.8 Wh kg-1. Additionally, the pouch cell demonstrated a high discharge rate of 3.0 C at -50 ℃, reaching a power density of 938.5 W kg-1, highlighting the electrolyte's potential for high-rate lithium metal batteries in extreme low-temperature environments.
Optimizing Urdu Text Tokenization: Morphological Rules for Compound Word Identification
Authors: Khushhal Saquib , Majid Abdul , Babar Mohammad , Abbas Syed Ali , Naqvi Umza 
Published: December 2024

Abstract

Tokenization in a text document is regarded as a primary natural language processing task for feature generation, and it plays a vital role in sentiment analysis, information retrieval, part of speech tagging, and named entity recognition. Urdu is spoken by around 170.2 million people worldwide as their first or second language. It is a morphologically and orthographically rich language. Word tokenization in Urdu text documents is very challenging because word boundaries are not specified by only space, as in other languages. A compound, a multi-word expression, is a more complex word consisting of multiple strings or independent base words. Tokens are the minimal unit of any language with a suitable semantic structure. Traditionally, bigram or trigram approaches represent compound words in the tokenization process. This research proposes a morphological rules-based approach to identify compound words in Urdu text for tokenization. A thorough evaluation is performed on a dataset of reasonable size to compare the performance of the proposed technique with traditional approaches. Results show that the proposed method can accurately identify the compound words for the tokenization of Urdu text documents. Notably, using morphological rule-based techniques for compound words reduces the number of extracted features.
Optimal Relay Selection in Wireless Cooperative Networks using metaheuristics Algorithm
Authors: Pahuja Sonika , Jindal Poonam 
Published: December 2024

Abstract

In this paper, the signal transmit efficiency of the secured Wireless cooperative networks (WCN) is improved using Grey wolf optimization (GWO) algorithm for best relay selection in multi-relay node system. The WCN is implemented using four transmission protocols: Amplify-and-forward (AF), AF with Artificial noise (AF-AN), Direct transmission (DT) and DT with AN. The proposed algorithm estimates the fitness function and the optimal relay node is selected by calculating the best solution. The results are compared with other metaheuristics algorithms, Particle-swarm optimization (PSO) and the Traditional relay selection (TRS) method based on Signal to noise ratio (SNR). Through the extensive simulations, it is proved that the lower Symbol-error rate (SER) and better secrecy rate (SR) are achieved as compared to conventional PSO, TRS, DT and DT-AN. Using the proposed algorithm, the SR of the system improves by 16.88% and 76.86% as compared to the PSO and TRS method respectively.
Adaptive Feedback Graph-Enhanced Network ForSocial Recommendation
Authors: Lv Zhixin , Zhao Xiangguo , Sun Yongjiao , Nie Haojie , Bi Xin , Han Anrui 
Published: December 2024

Abstract

Social recommendation systems leverage social network data and graph models to enhance recommendation performance. Recent studies have highlighted the effectiveness of integrating social recommender systems with graph neural networks (GNNs). However, several critical challenges still remain: (i) most existing models tend to overlook previous mistakes, leading to repeated errors in future predictions, potentially causing local optima and preventing optimal performance; and (ii) basic sampling methods fail to capture the structural characteristics of graph data effectively, often leading to samples that are inadequate for model training needs. To address these challenges, we propose an Adaptive Feedback Graph-Enhanced Network (AFGN) for social recommendation. While our approach is inspired by reinforcement learning, it differs by emphasizing the penalization of errors instead of relying on a reward function to reinforce correct behavior. This error-driven correction mechanism allows the model to learn from past mistakes and improve its predictive accuracy. Additionally, we introduce a novel and efficient, structure-aware graph-enhanced negative sampling method, which enhances the model's ability to capture the graph structure between users and items. Experiments on real-world datasets show that our method achieves significant improvements in recommendation accuracy over strong baselines.
Preserving the Nano-Scale Morphology of Cellulose Nanofiber via Drying Under High Shear Conditions
Authors: Neivandt David , Eme Charles , Cline Amos 
Published: December 2024

Abstract

Cellulose nanomaterials (CNMs) hold great promise as renewable, sustainable and highly functional materials in a host of applications. However, to date CNMs have not seen large-scale commercial use, primarily due to the difficulty in removing the water in which they are generated without inducing extensive hydrogen bond-driven aggregation and concomitant loss of nano-scale elements. Spray drying of CNM suspensions has been shown to produce micron scale monoliths. Freeze drying and supercritical drying with carbon dioxide have proven more effective at maintaining the nanostructure of CNMs, but are not readily scalable to high throughput, energy efficient production. Here we present a new drying technique that preserves the nano-morphology of CNMs via use of a high shear drying environment. Indeed 3wt% cellulose nanofiber hydrogel suspensions were dried via the use of two vortices of heated compressed air to a nano-fibrous powder with yields of greater than 60% wt%. Our results demonstrate that it is possible to dry CNMs while largely preserving the nano-scale morphology of the material simply by drying in a turbulent heated air stream. The technique lends itself to ready scale-up and we anticipate will enable use of these renewable and sustainable materials in high volume commercial applications.
Self-admitted Technical Debt Prediction Using Bellwether
Authors: Koomson Robert , Anim-Annor Adelaide , Mensah Solomon , Ofori Eric , Boafo Fredrick 
Published: December 2024

Abstract

Context: Self-admitted technical debt (SATD) refers to the temporary workaround codes that engineers purposely leave behind before releasing software. It was developed by Potdar and Shihab to highlight intentional technical debts made by developers, to meet certain deadlines during the developmental process. However, these intentional technical debts become more expensive and difficult to handle over time.
Objective: To develop a prediction model to detect, categorize, and predict SATD-prone tasks in the studied software projects.
Method: The prediction model employs the use of a natural language processing model to manually extract identified textual indicators from five open-source projects. The data is then processed and cleaned using regular expressions and spaCy algorithms. Finally, a Bellwether algorithm is employed to learn from this data and predict the occurrence of self-admitted technical debt on other software.
Result: The study identified new textual indicators and their frequency of occurrences. It also categorized these textual indicators under the five types of Self-admitted technical debts and recorded design debt as the highest occurrence among the types. Finally, the findings recorded a high F1 Score of 0.89 using bellwether compared to the traditional algorithms.
Conclusion: The employment of Bellwether predictive algorithm appears to be more efficient in predicting SATDs in source code comments as compared to previously used predictive tools
Metabolic alterations in healthy human adults associated with chronotypes-a pilot clinical trial
Authors: Shirolkar Amey , Pawar Gitanjali , Chougule Shridhar , Ranade Anagha , Prasad GP , Pawar Sharad , Duraphe Prashant S. 
Published: December 2024

Abstract

Chronobiology pertains to the examination of biological rhythms. The phenotypic manifestation of the internal clock is referred to as chronotype. Currently, there exists a limited number of studies linking biomolecules and pathways to specific chronotypes. Metabolites, possess great versatility, and are crucial in defining the phenotype of an organism. Therefore, it would be of clinical significance to establish an association between the metabolite signature and chronotype. In our investigation, we conducted an analysis of the chronotypes of eight healthy volunteers using a validated ICER chronotype questionnaire, which is an adapted version of the Munich Chronotype Questionnaire (MCTQ). By employing rapid resolution liquid chromatography - tandem mass spectrometry (RRLC-MS) on serum samples from these volunteers, a comprehensive and unbiased profiling of metabolites was conducted to evaluate the signature metabolites and molecular pathways. Interestingly, the metabolic pathways of Purine, Glycerophospholipid, and Thiamine were noticed to be particularly prominent. Remarkable marker metabolites associated with morning and intermediate chronotypes included Thiamine triphosphate, Deoxyuridine, Cyclic GMP, Epinephrine, Glycocholic Acid, Adenosine triphosphate, Phosphoadenosine phosphosulfate, lysophospholipid, phosphatidylethanolamines, and phosphatidic acid. When analyzed in the intermediate and morning group, Adenosine triphosphate and glycoholic acid were found to be downregulated, while Phosphoadenosine phosphosulfate was upregulated. Our omics analysis clearly demonstrated a distinct differentiation between chronotypes based on their metabolism and associated pathways. Consequently, this offers a potential tool for the identification and characterization of marker compounds to assign chronotypes, thereby facilitating the incorporation of chronotherapy in disease diagnosis.
Exogenous N-Acetylgalactosamine-4-sulfatase (Arylsulfatase B) Leads to Melanoma Apoptosis by Constitutive Photomorphogenesis 1 (COP1)
Authors: Tobacman Joanne K , O-Sullivan Insug , Bhattacharyya Sumit , Whiteley Herbert E. , Yang Jiyuan , Zhang Fuming 
Published: December 2024

Abstract

Treatment by exogenous, bioactive, recombinant human N-acetylgalactosamine-4-sulfatase (Arylsulfatase B; ARSB) markedly reduced the number and volume of pulmonary melanomas in C57BL/6J mice inoculated intravenously with B16F10 melanoma cells. ARSB treatment induced apoptosis of the melanomas and of human A375 melanoma cells by increase in expression of the E3 ubiquitin ligase constitutive photomorphogenic protein 1 (COP1), an inhibitor of ultraviolet B-stimulated signaling 5–12. The corresponding inhibitory effects of COP1 on UVB-stimulated plant growth and on melanoma, a malignancy stimulated by UVB exposure, provide new insight into melanoma pathogenesis. Here, we show that in melanoma tissues and human melanoma cells, COP1 suppressed nuclear ETS-1 and the ETS-1-mediated expression of BCL2, leading to increased cytoplasmic cytochrome c, caspase-3/7 activation, and apoptosis. Exogenous ARSB, acting through insulin-like growth factor 2 receptor (IGF2R), reduced expression of carbohydrate sulfotransferase (CHST)15. Inhibition of CHST15, which adds a 6-sulfate group to C4S and is increased in several malignancies 32–38, blocked activation of the transmembrane receptor ROR (Receptor tyrosine-kinase like Orphan Receptor)1 and of phospho(Ser473)-AKT1, leading to increased nuclear FOXO3 and COP1 expression. This negative regulation of phospho(Ser473)-AKT1 reflects the profound impact of rhARSB and chondroitin sulfation on regulation of critical cell signaling which enables the COP1-mediated apoptotic pathway and inhibition of melanoma growth.
Multilateral Trade Agreements' Effect on Regional Trade
Authors: miledi yesmine 
Published: December 2024

Abstract

The Treaty's goals are to create an African single market through the unification of numerous regional economic groups, and it became legally binding in 1994. The East African Community (EAC), the Common Market for Eastern and Southern Africa (COMESA), the Economic Community of West African States (ECOWAS), the Southern African Development Community (SADC), the Community of Sahel-Saharan States (CEN-SAD), the Economic Community of Central African States (ECCAS), and the Intergovernmental Authority on Development are the eight RECs that the African Union recognises.