bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhance Road Transport Sustainability Assessment to Address Climate Change Through MCDM-Based Entropy Objective Weighting
Authors: MOHAMED ALAA ALDEN AL , Silva Deoclécio Junior Cardoso da 
Published: June 2024

Abstract

Climate change, toxic greenhouse gas emissions, and air pollution are environmental challenges that our society needs to overcome. Transportation in general is one of the most significant sources of environmental pollution and it responsible of 27% of Air pollution in the environment, but Road transportation is one of the most adaptable forms of transportation and can link both domestically and internationally. In addition, it provides for a greener future with the passage of time, thanks to modern and advanced green industrial applications. However, the Road transportation system and its level of development vary from a country to another due to several criteria. This paper presents the Entropy-MCDM methods model to evaluate the Road transportation system in the countries of the Organization for Economic Co-operation and Development (OECD). Five MCDM techniques were applied to classify the sustainability performance of road transportation in OECD countries, and to compare them based on 12 sub-criteria. The results revealed that Japan is the top-ranked country among OECD countries, thanks to the policies and measures it adopts, from the initiation of advanced technological projects specifically for sustainable transportation systems, to offering all facilities and exemptions to encourage people to use sustainable transportation means. Germany and France follow Japan in the rankings. Finally, by comparing the classification results with other decision-making methods, it was found that help decision-makers evaluate and select the most appropriate solutions that fulfill several criteria simultaneously while considering their conflicting nature.
Stability of metal ion complexes with the synthetic phytosiderophore proline-2′-deoxymugineic acid
Authors: Evers Anna , Kohn Jackson , Baars Oliver , Harrington James M. , Namba Kosuke , Duckworth Owen W. 
Published: June 2024

Abstract

Adequate micronutrient concentrations in crops are essential for human health and agricultural productivity. However, 30% of cultivated soils worldwide are deficient in iron. Because of low micronutrient bioavailability, graminaceous plants have evolved to exude small molecules, called phytosiderophores, into their environment, which strongly complex and promote uptake of trace elements. The introduction of a synthetic phytosiderophore, proline-2’-deoxymugeneic acid (PDMA), has been shown to promote Fe uptake in rice plants; however, its binding capabilities with other metals, which may impact the ability promote the uptake of Fe and other trace nutrient metals commonly found in soils, remain unknown. We conducted spectrophotometric titrations to determine the stability constants (logβ) of PDMA complexes with Mn(II), Co(II), Cu(II), Ni(II), and Zn(II). We determined that PDMA complex stability constants correlated with: (1) the hydrolysis constants of metal ions (logβOH) in complexes; (2) the ionic potential of complexed metals; and (3) the corresponding complex stability constants of other mugineic acid type phytosiderophores, as well as the trishydroxamate microbial siderophore DFOB. These correlations demonstrate the potential, and limitations, on our ability to predict the stability of phytosiderophore complexes with metal ions with different properties and with potentially different coordination structures.
Virulence gene expression of halophilic variant V.parahaemolyticus and its effect on pathogenicity
Authors: Dong Xin , Wu Dan , Chen Jia , Du Qiang , Tu Bowen , Mao Xujian , Wang Fengming , Zhao Ying 
Published: June 2024

Abstract

Vibrio parahaemolyticus (VP) is a Gram-negative halophilic bacterium that mainly infects seafood and food [1] with high salt content. Eating uncooked or contaminated by the bacteria may cause gastroenteritis symptoms, such as nausea, vomiting and diarrhea [2]. In many countries, especially in coastal [3], VP has become the leading pathogen [4] responsible for bacterial food poisoning, and foodborne diseases caused by VP have also become a public health issue of global concern. We show that halinophilia is one of the most unique biological properties of VP, [5], which can only normally grow [6] in environments with 0.5–8.0% salt content. In recent years, an increasing number of literature has reported that the prevalence of VP in inland cities gradually increases in [7–9]. The VP monitoring results of ready-to-eat raw aquatic products in Changzhou found that the detection rate of VP was increasing year by year, especially the proportion of VP detected in freshwater products increased significantly, and VP was detected in freshwater crayfish, freshwater fish and shellfish. The preliminary research results of this project team found that VP of fresh water products could grow normally at 0%~0.5% salt concentration, while VP of seawater products grew well at salt concentration of 1%~3%, which proved that the halinophilia of some VP was changed, and the "halophilic variant" VP appeared.
The first molecular detection of benzimidazole resistance in Haemonchus contortus from Sheep in some areas of Southern Xinjiang
Authors: Tuerhong Reyilanmu , Xin Lianxi , Zhang Ying , Tuoheti Abudusaimaiti , Zhang Yi , Abula Saifuding , Wusiman Adelijiang , aimulajiang kalibixiati , Tuersong Waresi 
Published: June 2024

Abstract

To understand the benzimidazole (BZ) resistance of Haemonchus contortus in Southern Xinjiang, three single nucleotide polymorphisms (SNPs, designated F167Y, E198A and F200Y) in the isotype-Ⅰβ-tubulin gene which are associated with BZ resistance were investigated for H. contortus populations from sheep in some areas of Southern Xinjiang༎In brief, a total of 190 H. contortus adults were collected from 52 out of 70 slaughtered sheep in city abattoirs across two regions in Southern Xinjiang, and species identity of each adult worm was confirmed by PCR amplification of ITS-2 using H. contortus-specific primers targeting the ITS-2. The samples were then investigated by PCR-sequencing of the isotypeⅠβ-tubulin gene for analyzing BZ-related SNPs at locus 167, 198 and 200༎The results showed that only E198A and F200Y mutations were detected in the investigated H. contortus populations. E198A mutation (homozygous and heterozygote resistant: found in 40% and 30% of sequenced samples from Minfeng and Hejing county, respectively) was predominant compared with F200Y (homozygous and heterozygote resistant: found in 14% and 13.33% of sequenced samples from Minfeng and Hejing county, respectively). The results indicate a high prevalence of BZ resistance in H. contortus populations from certain areas of Southern Xinjiang. Our findings provide valuable information for the prevention and control of H༎contortus in areas with similar condition༎
Analysis of genotyping data reveals the unique genetic diversity represented by the breeds of sheep native to the United Kingdom
Authors: Kerr Eleanor , Marr Melissa M. , Collins Lauren , Dubarry Katie , Salavati Mazdak , Scinto Alissa , Woolley Shernae , Clark Emily L. 
Published: June 2024

Abstract

Background
Sheep breeds native to the United Kingdom are noted for high breed variability and exhibit a striking diversity of different traits in phenotypes and genetic diversity. Some of these traits are highly sustainable, such as seasonal wool shedding in the Wiltshire Horn, are likely to become more important as pressures on sheep production increase in coming decades. Despite their clear importance to the future of sheep farming, the genetic diversity of native UK sheep breeds is poorly characterised. This increases the risk of losing the ability to select for breed-specific traits from native breeds that might be important to the UK sheep sector in the future. Here, we use 50K genotyping to perform preliminary analysis of breed relationships and genetic diversity within native UK sheep breeds, as a first step towards a comprehensive characterisation. This study generates novel data for thirteen native UK breeds, including 6 on the UK Breeds at Risk (BAR) list, and utilises existing data from the publicly available Sheep HapMap dataset to investigate population structure, heterozygosity and admixture.
Results
In this study the commercial breeds exhibited high levels of admixture, weaker population structure and had higher heterozygosity compared to the other native breeds, which generally tend to be more distinct, less admixed, and have lower genetic diversity and higher kinship coefficients. Some breeds including the Wiltshire Horn, Lincoln Longwool and Ryeland showed very little admixture at all, indicating a high level of breed integrity but potentially low genetic diversity. Population structure and admixture were strongly influenced by sample size and sample provenance – highlighting the need for equal sample sizes, sufficient numbers of individuals per breed, and sampling across multiple flocks. The genetic profiles both within and between breeds were highly complex for UK sheep, reflecting the complexity in the demographic history of these breeds.
Conclusion
Our results highlight the utility of genotyping data for investigating breed diversity and genetic structure. They also suggest that routine generation of genotyping data would be very useful in informing conservation strategies for rare and declining breeds with small populations sizes. We conclude that generating genetic resources for the sheep breeds that are native to the UK will help preserve the considerable genetic diversity represented by these breeds, and safe guard this diversity as a valuable resource for the UK sheep sector to utilise in the face of future challenges.
Evaluation of Pervious Concrete PC Subjected to High Temperature and Post Fire: Experimental Investigation and Proposed Expressions
Authors: Hassan Bedar Rauf , Mohammed Ilham Ibrahim , Faraj Rabar H. , Salih Sharo Ayoob Hama , Othman Lara Idris , Maarouf Solin Hussein , Yaseen Bilal Ainalddin 
Published: June 2024

Abstract

Based on real fire incidents in parking garages and on roads made with porous concrete, which lead to the degradation of the mechanical properties of materials, an empirical study was conducted to address a research gap in this area. This study examined the impact of thermal and fire exposure on the mechanical properties of porous concrete. Fifteen different sets of specimens were tested to evaluate compressive strength, indirect tensile strength, and flexural strength. The first set served as control specimens, eight sets were used to assess the strength of porous concrete under various elevated temperatures and exposure durations, three sets were used to evaluate strength under cyclic temperature exposure, and the remaining samples were used to assess strength after exposure to intense fire. The results indicated a gradual decline in concrete strength over various time intervals and various temperature, with the reduction being more pronounced with longer and more intense fire exposure, as well as temperature fluctuations. Notably, 45 minutes of fire exposure led to the disintegration of the porous concrete structures and resulted in zero strength.
A Robust Rumor Detection on Twitter Using an Enhanced LSTM-RNN Model
Authors: Ma Yingying , Luo Lixia , Zheng Zhiwu , Zhang Hua 
Published: June 2024

Abstract

Social networks have significantly impacted people’s lifestyles, providing a crucial platform for communication and information sharing that can engage millions of users within seconds. While social media offers positive influences on lives and relationships, it also fosters the spread of rumors, resulting in adverse effects such as loss of reputation, credibility, and health. This paper introduces a novel algorithm based on long short-term memory and recurrent neural networks (LSTM-RNN) for detecting rumors on Twitter. The proposed algorithm’s performance is evaluated through extensive simulations using the AUG-RNR-DATA dataset, which includes both rumor and non-rumor tweets from six distinct events. The simulation results demonstrate that our algorithm surpasses the baseline methods, achieving a 0.95 accuracy in distinguishing between rumors and non-rumors on the AUG-RNR-DATA dataset.
KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis
Authors: Veisi Hadi , Awlla Kozhin muhealddin , Abdullah Abdulhady Abas 
Published: June 2024

Abstract

This paper enhances the study of sentiment analysis for the Central Kurdish language by integrating the Bidirectional Encoder Representations from Transformers into Natural Language Processing techniques. Kurdish is also a low-resourced language, having a high level of linguistic diversity with minimal computational resources, making sentiment analysis somewhat challenging. Earlier, this was done using a traditional word embedding model, such as Word2Vec, but with the emergence of new language models, specifically BERT, there is hope for improvements. The better word embedding capabilities of BERT lend to this study, aiding in the capturing of the nuanced semantic pool and the contextual intricacies of the language under study, the Kurdish language, thus setting a new benchmark for sentiment analysis in low-resource languages. The steps include collecting and normalizing a large corpus of Kurdish texts, pretraining BERT with a special tokenizer for Kurdish, and developing different models for sentiment analysis: LSTM, MLP, and finetuning. The proposed approach consists of 3 classes: positive, negative, and neutral sentiment analysis using a sentiment embedding of BERT in four different configurations. The accuracy of the best-performing classifier, LSTM, is 74.09%. For the BERT with an MLP classifier model, the maximum accuracy achieved is 73.96%, while the fine-tuned BERT model tops the others with 75.37% accuracy. Additionally, the fine-tuned BERT model demonstrates a vast improvement when focused on two 2-class sentiment analyses—positive and negative—with an accuracy of 86.31%. The study makes a comprehensive comparison, highlighting BERT's superiority over the traditional ones based on accuracy and semantic understanding. It is motivated because several results are obtained that the proposed BERT-based models outperform Word2Vec models conventionally used here by a remarkable accuracy gain in most sentiment analysis tasks. This might be an advancement, especially for those under-resourced languages in the field of NLP. It only indicates the potential of LLM in improving sentiment analysis. It emphasizes the need for developing language-specific models for datasets to solve the problems brought up by low-resource languages. This study fills this gap in sentiment analysis capabilities for Kurdish and sheds light on broader applicability in extremely linguistically diverse and resource-constrained contexts for BERT and similar models.
Cultivation of Bovine Lipid Chunks on Aloe vera Scaffolds
Authors: Gome Gilad , Chak Benyamin , Tawil Shadi , Rotem Itai , Ribarski-Chorev Ivana , Shoseyov Oded , Schlesinger Sharon 
Published: June 2024

Abstract

Aloe vera, renowned for its medicinal and food applications, presents a sustainable, scalable, and cost-effective alternative for cultured meat production. Our innovative method repurposes the Aloe vera parenchyma to produce sterile scaffolds with a conducive porous structure that allows liquid retention. These scaffolds, demonstrating good biocompatibility, support adhesion, proliferation, and extracellular matrix formation of bovine mesenchymal stem cells. The addition of oleic acid leads to the accumulation of lipids, indicating the potential formation of ’lipid chunks’. This cultured bovine 3D tissue, enriched with lipids, can serve as a food additive in plant-based alternative meats, potentially enhancing their texture and flavor profile. To address the scalability challenge, a novel macrofluidic single use bioreactor (MSUB) was used to culture the scaffolds as an example of the potential of various scaling out or up possibilities, enabling sustainable and scalable production of cultured meat or to be used for regenerative medicine for cell-based therapies. This breakthrough in Aloe vera scaffold utilization not only advances the field of tissue engineering but also holds promise for a more sustainable future in alternative protein production.
Exploring the Role of Unconventional Post-Translational Modifications in Cancer Diagnostics and Therapy
Authors: Sharma Sayan , Sarkar Oindrila , Ghosh Rajgourab 
Published: June 2024

:
Unconventional Post-Translational Modifications (PTMs) have gained increasing attention
as crucial players in cancer development and progression. Understanding the role of unconventional
PTMs in cancer has the potential to revolutionize cancer diagnosis, prognosis, and therapeutic
interventions. These modifications, which include O-GlcNAcylation, glutathionylation,
crotonylation, including hundreds of others, have been implicated in the dysregulation of critical
cellular processes and signaling pathways in cancer cells. This review paper aims to provide a
comprehensive analysis of unconventional PTMs in cancer as diagnostic markers and therapeutic
targets. The paper includes reviewing the current knowledge on the functional significance of various
conventional and unconventional PTMs in cancer biology. Furthermore, the paper highlights
the advancements in analytical techniques, such as biochemical analyses, mass spectrometry and
bioinformatic tools etc., that have enabled the detection and characterization of unconventional
PTMs in cancer. These techniques have contributed to the identification of specific PTMs associated
with cancer subtypes. The potential use of Unconventional PTMs as biomarkers will further
help in better diagnosis and aid in discovering potent therapeutics. The knowledge about the role
of Unconventional PTMs in a vast and rapidly expanding field will help in detection and targeted
therapy of cancer.
Effectiveness of Highly Purified Cannabidiol in Refractory and Super-Refractory Status Epilepticus: A Case Series
Authors: Di Mauro Giovanni , Vietri Giovanni , Quaranta Loreta , Placidi Fabio , Izzi Francesca , Castelli Alessandro , Pagano Andrea , Leonardis Francesca , De Angelis Viviana , Bianco Ciro , Celeste Maria Grazia , Mercuri Nicola Biagio , Liguori Claudio 
Published: June 2024

Introduction:
Refractory and super-refractory status epilepticus are medical emergencies
that must be promptly treated in consideration of their high mortality and morbidity rate. Nevertheless,
the available evidence of effective treatment for these conditions is scarce. Among novel antiseizure
medications (ASMs), highly purified cannabidiol (hpCBD) has shown noteworthy efficacy
in reducing seizures in Lennox-Gastaut syndrome, Dravet syndrome, and Tuberous Sclerosis Complex.

Case Presentation:
Here, we present two cases of effective use of hpCBD in both refractory and super-
refractory status epilepticus. The administration of the nasogastric tube permitted the resolution
of status epilepticus without adverse events. At 6-month follow-up, both patients were on hpCBD
treatment, which continued to be efficacious for treating seizures.

Conclusion:
According to our experience, hpCBD should be taken into consideration as an add-on
therapy of RSE and SRSE while also considering the possibility of maintaining this treatment during
the follow-up of patients. However, more studies and real-world experiences are needed to better
understand its effectiveness in this setting and the interaction with other ASMs.
Molecular Markers in Canine Mammary Tumors
Authors: Gherman Luciana-Mădălina , Isachesku Ekaterina , Zanoaga Oana , Braicu Cornelia , Berindan-Neagoe Ioana 
Published: June 2024

Abstract
Canine mammary tumors (CMTs) are one of the most common neoplasms in female dogs. Unfortunately, the current diagnosis often occurs in later stages, and there is a pressing need for more comprehensive data on treatment options to improve overall prognosis. Consequently, the early detection of these tumors is critical for improving treatment outcomes and survival rates. As such, biomarkers are essential for improving the diagnosis, treatment, and prognosis of CMT, the reason for which further research is required to enhance our understanding of the disease. The most studied biomarkers for CMT are evaluated from serum and tissue samples using different molecular approaches and relate to proliferation and cell cycle. Several biomarkers were also described regarding cell damage, autophagy and apoptotic-related pathways, hypoxia, angiogenesis, EMT, invasion, metastasis or cancer stem features. Overall, biomarkers have shown the potential to be used as a tool for the early detection of mammary tumors in dogs. However, more research is needed to validate these biomarkers and to develop sensitive and specific diagnostic tests. In this regard, we aimed to review known biomarkers and their role in CMT comprehensively. We also encouraged further investigations of reliable biomarkers that could improve treatment outcomes and survival rates for dogs with this disease.
Longitudinal and Cross-Sectional Studies to Evaluate Changes in Cow Milk Microbiota Over the Lactation Stages
Authors: Shinozuka Yasunori , Suzuki Naoki , Kitsukawa Manabu , Hayashi Mayu , Suenaga Nagomu , Shimizu Yuko , Kurumisawa Tomomi , Kawai Kazuhiro 
Published: June 2024

Abstract
To clarify the changes in milk microbiota by lactation stage, i.e., d ays in milk (DIM) for Fresh of 0 to 21, Early (DIM of 22 to 80), Middle (DIM of 81 to 200), and Late (DIM 201 or more) lactation stages in dairy cows, we performed longitudinal (12 sampling at each stage, total 48 samples) and cross-sectional sampling (Fresh [n = 7], Early [n = 12], Middle [n = 11], and Late [n = 11] stages, total of 41 samples) to comprehensively analyze the microbiota in milk samples by 16S rRNA amplicon sequencing. Although the relative abundance of bacteria of the phylum Actinobacteria increased significantly in the Late lactation stage in the longitudinal study, no significant changes were observed in the cross-sectional study. While no changes were observed in the milk microbiota during the lactation stages, environmental factors appeared to have a comparatively larger impact than interindividual diversity on the composition of the milk microbiota. Furthermore, the findings illustrated the importance of selecting appropriate study designs to clarify changes in milk microbiota throughout the lactation period. The findings obtained in this study not only provide useful information for interpreting previous research results, but also provide knowledge that could be helpful when designing new studies.
Steroid Profiling in the Differential Diagnosis of Cushing's Syndrome and Diagnosis of MACS
Authors: Nankova A. , Kamenova T. , Vasilev V. , Elenkova At. , Svinarov D. , Kirilov G. , Zaharieva S. 
Published: June 2024

Abstract

Background
Cushing's Syndrome (CS) is the consequence of the exposure of tissues to extremely high levels of glucocorticoids. Early diagnosis and treatment are the mainstay of optimizing patient outcomes and improving their quality of life. In the recent years steroid profiling by LC-MS sheds more light on the diagnosis of CS.

Materials and methods
This was a retrospective cross-sectional study.

Objective
To investigate serum steroid precursor differences between different etiological forms of CS and to suggest a steroid panel for the diagnosis of MACS in patients with adrenal incidentalomas.

Results
Our studied patients with CD had significantly lower levels of 11-deoxycorticosterone (p = 0.047) and 17 OH progesterone (p = 0.024) compared to those with adrenal forms of CS. In out cohort of patients with adrenal incidentalomas, those with MACS had significantly lower levels of androgens (DHEA, p = 0.001) and cortisone (p = 0.015) and higher levels of 11-deoxycortisol (p = 0.039) compared to the patients with non-secreting adenomas (NSA).

Conclusion
Introducing LC-MS based steroid profiling would be very helpful in the diagnostic process of patients with CS.