bluuebunny/crossref_metadata_2025_split huggingface dataset:
Population genetic of hawksbill sea turtle (Eretmochelys imbricata; Linnaeus, 1766) in the Persian Gulf: structure and historical demography
Authors: Nasiri Zohreh , Gholamalifard Mehdi , Ghasempouri Seyed Mahmoud 
Published: November 2023

Abstract
This study focuses on the population genetics and historical demography of hawksbill sea turtles in the Persian Gulf. We selected eight distinct locations along the nesting habitat, covering a 750 km stretch, and collected samples from 127 hawksbill turtles using non-invasive methods. We analyzed the samples using 15 microsatellite loci and observed distinctive genetic structures on islands and beaches, even when separated by as little as 50 km. Qeshm Island exhibited the highest genetic diversity, while Shidvar, Kharkoo, and Nayband Bay showed lower genetic diversity, possibly due to limited nesting habitat availability and disturbances related to tourism. The study also identified population differentiation through fixation index (Fst) and gene flow (Nm) values, with moderate to high differentiation observed among most populations. We also used population structure analysis, migration analysis, and population history reconstruction to identify multiple genetic clusters and support a scenario of simultaneous dispersal in the Persian Gulf when the region became fully inundated with water approximately 10,000 years ago. Although the introduction of hawksbills to the Persian Gulf happened for the first time from the Oman Sea through the Strait of Hormuz, they were distributed in all habitats in a short time. The study highlights the significance of each coastal and island region in the Persian Gulf as a unique genetic reservoir for hawksbills and emphasizes the importance of conservation efforts to preserve the genetic diversity and resilience of these endangered marine turtles, particularly on islands in close proximity.
Service Oriented Architecture Methodology to improve reusability of e-Government Systems: case study from Sinnar state, Sudan
Authors: Altegani Ahmed M. Alaagib 
Published: November 2023

Abstract
Reusability, interoperability and integration are important factors in e-government systems since different governmental units collaborate to deliver a holistic service to a citizen. In the other hand building scalable software systems remains a complex undertaken, since such systems supposed to focus on processes and tools which support the concept that large systems can be assembled from independent, reusable collection of functionality to facilitate integrating disconnected systems. The main objective of this study is to propose service oriented architecture (SOA) development approach that can be implemented in Sudan e-government portals to improve reusability and interoperability throughout adopting a case study approach. The study presented a methodology for building e-government applications based on service-oriented architecture to promote reusability, interoperability of these applications since governmental agencies supposed to work in integrated manner to deliver a holistic service to a citizen. Besides, the model will contribute in dealing with heterogeneity of technologies and platforms used to realize e-government systems which resulted from the individual responsibility for each governmental unit to develop its own system with its own technological and platform choices, as the methodology defined set of guidelines and standards for e-government applications and e-services evaluated through case study step by step implementation.
Beyond Green Borders: an Innovative Model for Sustainable Transportation in Supply Chains
Authors: Sifaoui THIZIRI , Aider Meziane 
Published: November 2023

Abstract

This paper introduces an innovative study on an uncertain interval programming model for a multi-stage, multi-objective, multi-product, fixed-load transportation challenge within budget constraints and safety measures in a green supply chain. To ensure the planet’s preservation, authorities and corporations should implement proactive strategies. Achieving sustainability depends on diverse stakeholder involvement, especially scientific research driving the proposed investigation. Human languages often contain imperfect or unknown information, inherently lacking certainty; achieving precision in describing existing states or future outcomes is frequently unattainable. In probability theory, sufficient historical information is crucial for estimating probability distributions; while in fuzzy theory, determining a reliable membership function proves challenging; hence, there is often a hesitant estimation of the degree of belief in the occurrence of each condition. Addressing such uncertainties, the theory of uncertain intervals proves highly valuable. Given these considerations, the elements of the specified problem are recognized as uncertain intervals. To manage this lack of assurance, a fusion of interval theory and methods from uncertain programming is used to formulate two distinct models: an expected value model and a chance-constrained model. The equivalent deterministic models are then formulated and solved utilizing Weighted Sum Method, fuzzy programming, and goal programming. Following this, a numerical example is utilized to assess the model’s performance, and the results obtained are compared. Finally, the document concludes with a sensitivity analysis and outlines future directions.
Involving the public in research prioritisation and as research partners in the Wales COVID-19 Evidence Centre (2021-23): processes, research priorities, outputs, and lessons
Authors: Joseph-Williams Natalie , Williams Denitza , Gee Peter , Hall Bob , Strong Alexandra , Kumar Rashmi , Davies Nathan , Cooper Alison , Lewis Ruth , Gal Micaela , Edwards Adrian 
Published: November 2023

Abstract

Background
High quality health and care research must involve patients and the public, but the COVID-19 pandemic presented challenges to usual involvement methods. We needed to identify new yet inclusive ways of involving the public in every stage of the Wales COVID-19 Evidence Centre’s (WCEC) rapid evidence generation processes, whilst fulfilling the UK Standards for Public Involvement. We describe how the public was involved in research prioritisation and as research partners in rapid research processes, and present key learning and recommendations.
Methods
Methods differed for two broad categories of WCEC public involvement opportunities. We recruited the public to our Public Partnership Group (PPG) to support activities throughout the research-knowledge mobilisation process. We recruited people from underserved groups impacted most by the pandemic to our Public Consultation Exercise; they participated in virtual or face-to-face workshops to identify and rank priority evidence needs. Involvement activities were mapped to the six UK Standards for Public Involvement. Learning was captured via quarterly meetings with our public partners, progress reports, and our research Collaborating Partners.
Results
We successfully involved 99 members of the public in identifying COVID-19 research priorities and eight members of the public to our Public Partnership Group, who supported our rapid evidence activities across the research-knowledge mobilisation process. In a pandemic context, we implemented involvement processes that were inclusive and accessible, utilised virtual platforms and methods, supported the development of new skills for our public partners, and fulfilled the UK Standards for Public Involvement. Our findings highlight the essential and complementary input of the public in identifying research priorities. Key challenges included accommodating urgent research requests from policy / practice leads, balancing views of all stakeholders, identifying answerable research questions, and capturing impact.
Conclusion
We provide a blueprint for involving the public across the research-knowledge mobilisation process in rapid research prioritisation and evidence environments. Key challenges that require further action include tailored guidance and training for involving members of the public in rapid evidence environments, considering the impact of rapid involvement opportunities on research inclusivity and diversity of the participants, and how we can capture impact of public involvement in contexts where rapid knowledge mobilisation is paramount. , whilst minimising burden on public partners.
Properties of Concrete With Dissimilar Treated Recycled Coarse Aggregate
Authors: J Vengadesh Marshall Raman , V Ramasamy 
Published: November 2023

Abstract

The strength evaluation of concrete can be determined by destructive and Non-destructive methods. In recent years construction industry initiated using demolition waste in structural concrete and due to this action coarse aggregate cost has been reduced. By using pre-treatment method of recycled coarse aggregate (RCA), the concrete properties will increase. Thus, the RCA are treated by using mechanical scrubbing and acid treatment (H2SO4 & HCl) before induced in concrete. Slump value for controlled concrete with river sand and M-sand was 110mm and 100mm. For untreated recycled aggregate concrete, the slump value reduced to 70mm and it is improved by using mechanical scrubbing treated aggregate concrete by 90mm without addition extra water. Similarly, Vee-bee consist meter test and Compaction factor test results were reduced suddenly while using untreated aggregate concrete; it was improved by all treatment methods especially by mechanically scrubbing techniques. The compressive strength for untreated aggregate concrete at 28 days is 16.83 N/mm2 and it was improved by mechanical scrubbing by 22.68 N/mm2.The strength was increased by mechanically treated aggregate concrete by 25.79% on compared with untreated aggregate concrete. The rebound numbers of treated RAC were improved by 12.5-26.31% at 28 days than RAC (UN). The ultrasonic pulse velocity in different treatments of RAC was improved by 8.17 – 22.82% at 28 days than RAC (UN). Impact resistance also enhanced by using treated recycled aggregate.
Comparison Effect of Physical Health Training and Psychological Training of the Theory of Reasoned Action (TRA) model on the Life Quality of Patient with Diabetes in Tehran, Iran: Utilization of Message Texting
Authors: Sadeghi Donya , Darvish Asieh , Daryaafzoon Mona , Mohamadnejad Esmaeil , Molaei Alireza , Montazerlotf Parastoo , Motlagh Maryam Karbasi 
Published: November 2023

Abstract
Background and Purpose: Providing physical health and mental health training promotion is necessary for a sustainable change in patients with diabetes attitude and way of life. The present study was conducted with the aim of comparison effect of physical health training and psychological training of the theory of reasoned action (TRA) model on thelife quality of patients with diabetes.
Methods: This experimental study was conducted with two intervention groups and one control group in 2022 on 129 diabetic patients referred to Imam Khomeini Hospital in Tehran. During one month, each person in first group was sent 15 text messages on physical health and second group received 15 psychological text messages on the TRA. The data collection tool was the "Audit of Diabetes-Dependent Quality of Life (ADDQoL)" questionnaire, which was completed by the participants before and after the intervention. The data were analyzed using SPSS version 16 software at a statistical level of 0.05.
Results: After the intervention, in first group, life quality score average was 8.51 units (P<0.001) and second group was 19.25 units (P<0.001) more than the control group. The psychological training group had a 17.62 units (P<0.05) lower average fasting blood sugar (FBS) and a 10.74 units (P<0.001) higher average quality of life than the physical training group.
Conclusion: The effectiveness of psychological training of TRA model in improving the life quality and reducing FBS in patient with diabetes is more than physical health training. Future plans to develop mental health education in these patients are recommended.
Probiotic-derived extracellular vesicles protect against aflatoxin B1-induced inflammatory intestinal injury by remodelling the gut microbiota and activating intestinal AHR/IL-22 signalling in mice
Authors: Li Jinyan , Shi Mengdie , Wang Yubo , Liu Jinyan , Liu Shuiping , Kang Weili , Liu Xianjiao , Chen Xingxiang , Huang Kehe , Liu Yunhuan 
Published: November 2023

Abstract

Background Aflatoxin B1 (AFB1) is a mycotoxin that widely exists in the environment and mouldy foods. The organ initially targeted by AFB1 is the intestine, and AFB1-induced intestinal injury cannot be ignored. Lactobacillus amylovorus, a predominant species of Lactobacillus, exerts carbohydrate metabolic functions. Extracellular vesicles (EVs), small lipid membrane vesicles, are widely involved in diverse cellular processes. However, the mechanism by which Lactobacillus amylovorus-QC1H-derived EVs (LA.EVs) protects against AFB1-induced intestinal injury remains unclear.
Results In our study, a new strain named Lactobacillus amylovorus-QC1H (LA-QC1H)was isolated from pigfaeces. Then, EVs derived from LA-QC1H were prepared by ultracentrifugation. Our study showedthat LA.EVs significantly alleviated AFB1-induced inflammatory intestinal injury by inhibiting the production of proinflammatory cytokines and decreasing intestinal permeability. Meanwhile, 16S rRNA analysis showed that LA.EVs remodelled AFB1-induced gut dysbiosis in mice. However, LA.EVs failed to exert beneficial effects in antibiotic-treated mice. LA.EVs treatment resulted in higher intestinal levels of indole-3-acetic acid(IAA) and activating intestinal aryl hydrocarbon receptor (AHR)/IL-22 signalling in AFB-exposed mice. Inhibition of intestinal AHR signalling markedly weakenedthe protective effect of LA.EVs in AFB-exposed mice.
Conclusions LA.EVs alleviated AFB1-induced inflammatory intestinal injury by remodelling the gut microbiota and activating intestinal AHR/IL-22 signalling in mice. Our study provides a new strategy for using LA.EVs as a therapeutic method to prevent AFB1-induced inflammatory intestinal injury.
Comparison of per kilogram and nitrogen balance calculations for the prediction of daily protein requirement in cancer patients: A prospective randomized controlled study
Authors: Karakus Zeynep Nur , Altinkaynak Mustafa , Akpinar Timur Selcuk , Erten Sebile Nilgun , Vatansever Sezai , Saka Bulent 
Published: November 2023

Abstract
Background & aims: Appropriate nutrition plan is required to fulfil the daily requirements in cancer patients. In this study, we aimed to compare the clinical and laboratory results of protein supplementation according to different calculation methods (per kg [PK] vs nitrogen balance equation [NBE]) in cancer patients.
Methods: 103 cancer patients were included in this prospective randomized trial. Personalized diet lists were given to all patients according to their daily energy/protein requirements, where protein need was calculated with two different calculations: i) PK: 1.2-1.5 g/kg/day and ii) NBE. NBE was calculated with the net daily nitrogen losses from urine and faeces. Food consumption, and anthropometric, muscle function and laboratory measurements of the two groups were compared after 8 weeks. Daily 30 min brisk walking was planned for each patient.
Results: 52 and 51 patients were included to PK and NBE groups (mean age: 50.9±11.1 and 53.1±12.3 years), respectively. After 8 weeks, the dietary compliance of the patients in PK and NBE groups were 93% and 95%. Daily protein intake was higher in the PK group. Both groups showed similar results regarding the lean body mass, muscle strength, walking speed and serum albumin. Gait speed was increased in both groups, and muscle strength was increased in the PK group.
Conclusion: Protein supplementation according to both calculations provided comparable results in cancer patients. Personalized diet combined with moderate exercise improved the physical performance in both groups. Increased muscle strength in the PK group was associated with higher protein intake.
Expressway traffic flow forecasting based on a combined model
Authors: Liu Lu , Li Caihong , Yang Yi , Wang Jianzhou 
Published: November 2023

Abstract
Accurate expressway traffic flow forecasting can provide reliable traffic flow forecasting data for traffic management departments and help them dispatch traffic resources rationally. However, the single model cannot accurately forecast complex traffic flow data. To improve the forecasting accuracy of expressway traffic flow, this paper proposes a combined forecasting model. The model not only uses principal component analysis (PCA) and a variety of data preprocessing methods to perform feature processing on original data, and selects four optimal models as the sub-models of the combined model based on the testing accuracy of six different models, but also uses the seagull optimization algorithm (SOA) and the grey wolf optimizer (GWO) to optimize the weights of the combined model, and by comparing the forecasting accuracy of the combined models to select an appropriate optimization algorithm for the combined model in this paper. The experiment results indicate that the proposed combined forecasting model obtains high accuracy and stability.
Information about the Validity of Darcy’s Law during Primary and Secondary Consolidation, obtained from an Oedometer Test with unusually accurate Pore Pressures
Authors: Schmertmann John H. 
Published: November 2023

Abstract
The writer explored the results from an unusual oedometer test performed at the Hong Kong University of Science and Technology (HKUST). The test included 4 increments of loading, 2 normal-consolidated (NC) and 2 over-consolidated (OC). These appear to show that Darcy’s Law for calculating permeability does not apply during secondary consolidation, and that an abrupt transition existed between primary and secondary consolidation in the Speswhite Kaolin tested. The abruptness increased during the transitions from NC to OC.
Prevalence and anti-bio gram of Enterococcus species in different samples: A cross-sectional study
Authors: AFROZ TURIN 
Published: November 2023

Abstract

Background: Enterococcus is routinely considered a low-grade pathogen. The synergistic action of enterococci with other bacteria increases infection. Enterococci are currently the next most familiar reason for healthcare-associated infections after E. coli. Greater understanding is needed regarding Enterococcus stress survival, virulence, and resistance patterns to assess the complexity of disease-causing Enterococcus.
Purpose: The expected impact of the study results from different causes of the prevalence of Enterococcus with endorsement.
Method and materials: A descriptive type of cross-sectional study was designed and carried out in the Department of Microbiology, BUHS, Dhaka for 3 months. A total of 11 urine and 16 postoperative pus samples were collected
Results: A total of 558 bacteria were isolated, of which the growth of Enterococcus spp. was 27 (4.83%). The prevalence of Enterococcus spp. among different samples was 4.83%. The number of highly sensitive strains ranging from 66.66% to 77.77%, namely gentamycin, ampicillin, amoxicillin, meropenem, moderately high sensitivity to levofloxacin (29.62%) and low sensitivity to doxycycline (14.81%) was analyzed.
Conclusions: The observations of the present study are very threatening for developing countries such as Bangladesh. The study recommends that antibiotics should be used after undertaking proper lab procedures and should be selected based on antimicrobial susceptibility tests.
Pathological complete response after conversion therapy of hepatocellular carcinoma: A retrospective study
Authors: Jia Junjun , Ding Chenyuan , Mao Mengjie , Gao Feng , Shao Zhou , Zhang Min , Zheng Shusen 
Published: November 2023

Abstract

Background
Hepatocellular carcinoma is a highly lethal tumor worldwide, and China, as a country with a high prevalence of liver disease, has a correspondingly high incidence and mortality rate of liver cancer. For patients with unresectable hepatocellular carcinoma, the prognosis is often poor, making conversion therapy a necessary treatment option. The objective of this retrospective study was to investigate the effects of conversion therapies on these patients.
Methods
The study included patients between the ages of 18 and 75 who were initially diagnosed with unresectable hepatocellular carcinoma and received conversion therapy. After completing surgery, the patients underwent pathological diagnosis, which showed complete necrosis. The study was conducted retrospectively at the First Affiliated Hospital, Zhejiang University School of Medicine, from January 2019 to December 2021. The main objectives of the study were to evaluate the overall survival and recurrence-free survival of these patients.
Results
A total of 60 patients who met the inclusion criteria were enrolled. The median age of the patients was 56.6 ± 9.5 years, and 85% of them were male. The one-year overall survival rate (OS) was 98.3%, and the three-year OS was 95.6%. The one-year recurrence-free survival rate (RFS) was 81.1%, and the three-year RFS was 71.4%. In subgroup analysis, there was no statistically significant difference in RFS between patients with BCLC stages 0-A and BCLC stages B-C (p = 0.296). Additionally, there was no statistically significant difference in RFS between patients who received postoperative new adjuvant therapy and those who did not (p = 0.324).
Conclusions
Conversion therapy followed by surgical resection could be a promising treatment for patients with initially unresectable hepatocellular carcinoma, and the prognosis is good with a pathological complete response.