bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and determinants of opioid use disorder among long-term opiate users in Golestan Cohort Study
Authors: Alvand Saba , Amin-Esmaeili Masoumeh , Poustchi Hossein , Roshandel Gholamreza , Sadeghi Yasaman , Sharifi Vandad , Kamangar Farin , Dawsey Sanford M. , Freedman Neal D. , Abnet Christian C. , Rahimi-Movaghar Afarin , Malekzadeh Reza , Etemadi Arash 
Published: August 2023

Abstract
Background
Number of opiate users worldwide has doubled over the past decade, but not all of them are diagnosed with opioid use disorder (OUD). We aimed to identify the prevalence and risk factors for OUD after ten years of follow-up.
Methods
Among 8,500 chronic opiate users at Golestan Cohort Study baseline (2004–2008), we recalled a random sample of 451 subjects in 2017. We used three questionnaires: a questionnaire about current opiate use including type and route of use, the drug use disorder section of the Composite International Diagnostic Interview lifetime version, and the validated the Kessler 10 (K10) questionnaire. We defined OUD presence and severity based on the DSM-5 criteria and used a cutoff of 12 on K10 questionnaire to define psychological distress.
Results
Mean age was 61.2 ± 6.6 years (84.7% males) and 58% were diagnosed with OUD. Starting opiate use at an early age and living in underprivileged conditions were risk factors of OUD. Individuals with OUD were twice likely to have psychological distress (OR = 2.25; 95%CI: 1.44–3.52) than the users without OUD. In multivariate regression, former and current opiate dose and oral use of opiates were independently associated with OUD. Each ten gram per week increase in opiate dose during the study period almost tripled the odds of OUD (OR = 3.18; 95%CI: 1.79–5.63).
Conclusions
Chronic opiate use led to clinical OUD in more than half of the users, and OUD was associated with psychological distress, increasing its physical and mental burden in high-risk groups.
Surgical, oncological and obstetric outcomes of Shimodaira-Taniguchi conization method
Authors: Higami Shota , Tanaka Yusuke , Deguchi Tomomi , Shiraishi Mariko , Shiki Yasuhiko 
Published: August 2023

Abstract
Background:
The objective of the study was to investigate surgical, oncological and obstetric outcomes of Shimodaira-Taniguchi (S-T) conization method.
Methods:
858 cases involving high-grade intraepithelial lesions treated by S-T conization were retrospectively reviewed, and the surgical, oncological and obstetric outcomes were analyzed. The χ2 test was used to compare the clinical characteristics between the patients with and without cervical stenosis. Factors associated with recurrent/persistent disease were analyzed by univariate and multivariate analyses using a Cox hazards regression model. The obstetric outcomes after conization were also evaluated.
Results:
Cervical stenosis and recurrent/persistent disease occurred in 2.2% and 4.9% of the patients, respectively. Older age (age ≥ 45) (Hazard ratio [HR] 3.22, 95% confidence interval [CI] 1.73–6.02) and surgical margin involvement (HR 6.39, 95% CI 3.44–11.8) were independently associated with recurrent/persistent disease. Especially, older patients with endocervical margin involvement showed a higher rate of recurrence (3-year recurrence rate: 28.1%). The proportion of patients who experienced cervical stenosis was significantly higher in older patients (0.95% vs. 5.7%, P < 0.001). Among 66 deliveries after conization, term delivery was observed in 62 cases (93.9%). The proportion of patients who experienced preterm delivery after conization was significantly higher in patients with a short interval from conization to conception (P = 0.045).
Conclusions:
S-T conization method is effective in terms of surgical, oncological and obstetric outcomes. Careful follow-up is required for older patients with positive surgical margins, especially those with positive endocervical margins. A short interval of ≤ 3 months from conization to conception should be avoided to expect term pregnancy.
Unveiling the Potential: Exploring Root Traits and Their Response to Drought and Culture Condition in High Temperature Spring Wheat Lines for Global Wheat Production Improvement
Authors: Asadullah  , Shah Syed Rehmat Ullah , Iqbal Azhar , Waheed Abdul , Farhad Wajid , Kalhoro Shahmir Ali 
Published: August 2023

Abstract
Background and aims
Global wheat production is under threat due to climate change, specifically from heat and drought, which are the major contributors. This study aims to address the response to drought in CIMMYT high temperature wheat lines, specifically analyzing root characteristics and their association with other parameters under water-stressed and well-watered conditions and different culture systems.
Methods
The variability of root traits of CIMMYT High Temperature Wheat Lines (HTWL) previously developed against heat stress and 10 Pakistani approved varieties was assessed under different culture conditions and water availability.
Results
Our findings revealed that the plasticity of the wheat root system is highly pronounced, with the conditions of the rhizosphere exerting a more substantial influence than the genotypic response. Furthermore, a small number of genotypes consistently exhibited desirable traits such as longer root systems and greater root biomass across different conditions. Persistent drought negatively affects root traits and reduces root growth.
Conclusions
The variation in root traits of HTWL against drought indicates their potential for the development of improved genotypes that can withstand multiple stresses. Furthermore, it is crucial to consider rhizosphere conditions when selecting genotypes, as the plasticity of wheat roots may lead to misinterpretations if rhizosphere conditions are disregarded. Therefore, for the selection of root traits under persistent drought conditions, it is recommended to evaluate a broader range of rhizosphere conditions.
Synergistic strategies for sustainable crop protection: Harnessing soil solarization and biofumigants to combat Damping-off pathogens in Solanaceous vegetable crops
Authors: Thakur Shavnam , Raj Harender 
Published: August 2023

Abstract
This study demonstrates the effectiveness of a biofumigants derived from cauliflower leaves and soil solarization technique in combating soil-borne pathogens namely Pythium ultimum, Fusarium oxysporum, Rhizoctonia solani and Sclerotium rolfsii causing damping-off disease in major solanaceous crops such as tomato, chilli and capsicum. Results showed that soil solarization increased the average maximum soil temperature to 41.8°C with an increase of 5.4°C at 5cm soil depth over unsolarized beds. Integration of soil solarization with cauliflower leaves as soil amendment for the period of 40 days at 5cm soil depth was found most effective in reducing the viability of P. ultimum, F. oxysporum, R. solani and S. rolfsii to 5.3, 2.6, 4.6 and 3.6 per cent in comparison to 92.6, 77.3, 83.3 and 80.3 in control respectively. With the increase in the duration of soil solarization from 15 to 40 days, the potential of the pathogens to cause the disease reduced significantly at 5cm soil depth and incidence of the damping-off reduced from 63.3 to 16.6 per cent in tomato; 66.6 to 20.0 per cent in chilli and 70.0 to 23.3 per cent in capsicum. Through this integrated approach, the viability of soil-borne pathogens can be minimized, thereby improves the overall plant health. Thus, these findings give significant evidence for the potential of soil solarization technique and plant-derived biofumigants, paving the way for a newer domain in crop protection in a sustainable manner.
Inter-Annual Variability of Southwest Monsoon Rainfall in Myanmar: Insights from Ocean-Atmosphere Interactions
Authors: Oo Kyaw Than 
Published: August 2023

Abstract
The monsoon trough regions in Myanmar (90°E-105°E and 10°N-28°N) show a substantial influence on rainfall from June to September during the southwest monsoon season (JJAS), where the contributes ~90% of the annual accumulated rainfall. This finding aims to explain the variability of southwest monsoon rain and its connection to Myanmar's ocean-atmosphere pattern between 1981 and 2020, which is of great importance in the economy of Myanmar because JJAS is the summer monsoon cropping season which is the main economic sector. The dominant EOF mode captures the lag-correlated between the average trend of JJAS rainfall and SST for 40 years (1981– 2020) produced from the previous June-September SST correlation with rainfall variation over Myanmar. Furthermore, the correlation suggests the instance of El Niño–Southern Oscillation (ENSO) and IOD (DMI) influence the variability of inter-annually JJAS rainfall. Positive correlation between SST anomalies of Nino3.4 regions and western IO (DMI) with JJAS rainfall variation during this 40 years. Both are well-defined indices for the forecast of the study year’s JJAS rainfall over Myanmar. Furthermore, cooling (warming) across the Indo-Pacific influences the Hadley and Walker circulations, resulting in below (above) average rainfall over Myanmar. The impact of other indices on JJAS Myanmar rainfall requires additional investigation. The thorough examination of JJAS rainfall aids in understanding the occurrences of previous extreme events as support for predicting and monitoring drought and floods over Myanmar.
Rheological Comparison Between Blended Asphalt Binders and Extracted and Recovered Asphalt Binder From Rejuvenated Asphalt Mixture With Very High Rap Content
Authors: Imaninasab Reza , Loria-Salazar Luis , Carter Alan 
Published: August 2023

Abstract
Efficient rejuvenation of the RAP’s binder facilitates the use of higher RAP contents. Assessing the efficiency requires evaluating the right blend of the rejuvenator, new and old binder that represents the real binder blend inside the asphalt mixture. Extracted and recovered (E&R) binder from the rejuvenated asphalt mixtures containing RAP is the best practice to obtain the existing blend of the rejuvenator, new and old binder. However, Extraction and recovery is not a common practice to study rejuvenation efficiency since it is time-consuming and energy-demanding with exposure to hazardous chemicals. Instead, blending rejuvenator, new binder and the E&R binder from RAP under appropriate blending conditions limits the extraction and recovery to RAP, and minimizes efforts for studying rejuvenation efficiency. This study aims to find the blending conditions under which the blend of the rejuvenator, new and RAP binder resembles the E&R binder from asphalt mixture rheologically. The rheological properties of three binder blends prepared under intense (IB), medium (MB) and low blending (LB) conditions were compared with those of the E&R binder. Performance grade (PG), rutting potential, fatigue resistance and behavioral characteristics are the rheological properties for making comparison. It was found that IB and MB are good representative of the E&R binder with regard to PG and PG + designation. In addition to IB and MB, LB can be a surrogate for the PAV-aged E&R binder. Also, any blending conditions between MB and IB for rutting potential and characterization are recommended.
Region of Interest based digital watermarking model for watermarking of two medical images at a time
Authors: Al-Aziz Md. Ashek , Sani Zaidatol Haslinda Abdullah 
Published: August 2023

Abstract
To provide the evidence of proper authentication, extraction of signature or logo from the supplied document which is concealed prior to the sending of that document is essential. Usually, medical images are concealed by the doctor’s signature or hospital logo and patients’ information. From 19 literatures, including 6 recent works, no evidence of watermarking more than one medical image using one grayscale logo at a time is shown by them, which is the core motivation of this research work. The proposed model of watermarking double host images with successful extraction from prior embedding of the watermark logo image is done in the experiment. The model is blind and no lossy compression method is applied. And the proposed model outperformed some of the state of the art models in terms of two quality parameters like Peak to Signal Noise Ration (PSNR) and Normalized Correlation (NC).
Study on the mechanism of salt relief and growth promotion of Enterobacter cloacae on cotton
Authors: Yue Haitao , Sun Shuwen , Ma Xiaoyun , Shen Shiwei , Luo Yiqian , Ma Xiaoli , Wu Ting , Li Shuang , Yang Zhengyang , Gong Yuxi 
Published: August 2023

Abstract
Aims
In-depth studies on plant ion uptake and plant growth-promoting rhizobacteria(PGPR) at the molecular level will help to further reveal the effects of PGPR on plants and their interaction mechanisms under salt stress.
Methods
Cotton was inoculated with a PGPR-Enterobacter cloacae Rs-35, and the ion uptake capacity, membrane transporter protein activity, and expression of key genes were determined under salt stress. Changes in the endogenous hormone content of cotton were also determined. Further, the genome-wide metabolic pathway annotation of E. cloacae Rs-35 and its differential enrichment pathway analysis of multi-omics under salinity environments were performed.
Results
In a pot experiment of saline-alkali soil, E. cloacae Rs-35-treated cotton significantly increased its uptake of K+ and Ca2+ and decreased uptake of Na+, elevated the activity of the H+-ATPase, and increased the sensitivity of the Na+/H+ reverse transporter protein on the vesicle membrane. Meanwhile, inoculation with E. cloacae Rs-35 could promote cotton maintain the indoleacetic acid(IAA) content under salt stress. Genome-wide annotation showed that E. cloacae Rs-35 was respectively annotated to 31, 38, and 130 related genes in osmotic stress, phytohormone and organic acid metabolism, and ion uptake metabolic pathway. Multi-omics differences analysis showed that E. cloacae Rs-35 were enriched to tryptophan metabolism, multiple amino acid biosynthesis, carbon and glucose synthesis, and oxidative phosphorylation metabolic pathways at the transcriptome, proteome, and metabolome.
Conclusion
E. cloacae Rs-35 can promote cotton balance cell ion concentration, stabilize intracellular IAA changes, stimulate induction of systemic tolerance, and promotes the growth of cotton plants under salt stress.
Study on Drip Flow Reaction About Biofilmby Pseudomonas Aeruginosa and Its Application to Evaluate Inhibitory Antibiofilm of Antibiotic
Authors: Hai Duong Vo -Thi- , Thuan Kieu Nguyen Phuc , Yen Nhi Dinh Thi , Viet Ha Cao Thi , Minh Thai Nguyen 
Published: August 2023

Abstract
Background: Pseudomonas aeruginosa (Pa) causes nosocomial infections, it has the ability to form biofilms in medical devices leading treatment to complicated. The purpose of this study is to build a biofilm model on Drip Flow Reaction (DFR) system and apply it to investigate the effects of antibiotics on biofilm formation.
Materials and method: The ability of Pa ATCC 9027, ATCC 27853 and PA 01 to form biofilms was investigated on DFR. This model is applied to evaluate the biofilm resistance of antibiotics through Flow cytometry (FCM).
Results: Successfully built biofilm model of Pa in DFR and obtained images on carrier and results from Flow Cytometry (FCM) machine analysis. The results revealed strains related to biofilm formation, time of antibiotic use is related to biofilm formation, the combination of colistin and rifampicin increased simultaneously both the inhibitory effect on biofilm formation and biofilm destruction (One-Way ANOVA test, p<0.01).
Conclusion: The study successfully investigated the biofilm-forming model and applied the Pa biofilm resistance in DRF with colistin and rifampicin.
Smart Chatbot System for Banking using Natural Language Processing Tools
Authors: Amama Clement , Okengwu Ugochi 
Published: August 2023

Abstract
This research work focuses on creating a Smart Chatbot System for banking that leverages Natural Language Processing Toolkit and Machine Learning. The study involves gathering and preprocessing a dataset of user queries and responses. Key words are defined for pattern matching, and a decision tree algorithm is used to train the model. The Chatbot's performance is evaluated, and the results demonstrate the successful development of a functional Chatbot with a high F1 score of 0.97, indicating 97% accuracy in understanding user queries and providing relevant responses. User testing and a comparison with an existing system reveal significant improvements achieved through the incorporation of NLP and machine learning algorithms. The Chatbot is designed with an intuitive and user-friendly interface accessible through a web application, and administrators have a separate back-end access to effectively manage the knowledge base. The research also identifies areas for future improvement, such as enhancing accuracy, incorporating system memory and anaphora resolution, and integrating a logging system. Addressing these limitations will contribute to the advancement and effectiveness of conversation agents in the banking sector.
Entrepreneurial intention of public hospital dentists and its importance factors: a study based on machine learning and binary logistic regression
Authors: Peng Bin , Li Jianzhong , Liu Dakang 
Published: August 2023

Abstract
As China's economic level continues to grow, people's standard of living is improving along with their awareness of oral health. The increased demand for high-quality dental services provides good opportunities for dentists to start their own businesses. Despite the rapid growth of private dental practices in China, more research is still needed to gain insight into the distinctive characteristics and influencing factors of dentists' entrepreneurial behavior. In this study, the entrepreneurial intention of dentists (the person's intention to leave the public hospital system and enter the private institution) was analyzed by collecting relevant questionnaires from public hospitals in five major cities of Guangdong Province, and the relationship between the entrepreneurial intention of dentists and their personal characteristics was analyzed using XGBoost method and binary logistic regression method. A total of 505 dentists' survey data were included in this study, and the top 5 influencing factors of importance were obtained based on the research analysis. Experiments showed that the importance-related features obtained in this study can play a high predictive role and have favorable stability, with an accuracy of more than 82% in XGBoost, decision tree and random forest classification algorithms. The prediction model of dentists' entrepreneurial intention based on machine learning algorithm is of high practical significance and can be incorporated into the screening and decision-making of dentists' entrepreneurial intention status. Based on this method, the entrepreneurial intention of relevant individuals can be accurately grasped, so that appropriate measures can be taken to promote the development and management of the industry.
Patients of a “street medicine” clinics in Brazil, “World’s Doctors”
Authors: Belkovsky Mikhael , Toledo Loic Monginet , Barroso Mariana Nobre , Raizer Milena Veiga , Luz Claudia Candido da , Garbini Stephanie de Oliveira , Silva Samir Adalberto Siqueira 
Published: August 2023

Abstract
“Street medicine” offers a complementary approach for marginalized population’s challenges, usually out of reach by the tradition health system. Our purpose is to describe the sociodemographic profile and the health-related challenges of patients served by a “street medicine” NGO. We analyzed retrospectively the patient cohort (2,226 patients) attending the “World’s Doctors” street-based mobile health clinics established in São Paulo from 1/2019 to 9/2022. Our results were compared with data publicly available of general Brazilian population. We observed more males (66.4%), black (22%), brown (38.8%) and indigenous (3.2%), with a higher mean age (45.7 years) compared to the general population (32.6 years), with low access to drinkable water. Higher prevalence of tuberculosis (2.2%) and STDs (4.5%) were observed, as well as alcohol and drug use disorders. The most common complaints to seek our service were: pain (36%), cough (7.78%), cutaneous lesions (6.11%), weakness (4.81%), and dizziness (4.03%). Patients served by our NGO present health conditions that go beyond main complains. Street based medicine complements traditional healthcare and would benefit from a multidisciplinary approach that involves dealing with social determinants of health and active surveillance and treatment of tuberculosis, STD, and alcohol and drug use disorders.
A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems based on Preschool Education
Authors: Trojovský Pavel 
Published: August 2023

Abstract
This paper presents the Preschool Education Optimization Algorithm (PEOA), a novel metaheuristic algorithm designed to tackle optimization problems. Inspired by the concept of preschool education, PEOA is divided into three distinct phases (i) the gradual growth of the preschool teacher's educational influence, (ii) individual knowledge development guided by the teacher, and (iii) individual increase of knowledge and self-awareness. The algorithm's effectiveness in optimization is evaluated using twenty-three standard benchmark functions encompassing unimodal, high-dimensional multimodal, and fixed-dimensional multimodal types. The results demonstrate that PEOA excels in exploration, exploitation, and maintaining a balance between them throughout the optimization process. To provide a comprehensive analysis, the performance of PEOA is compared against ten well-known metaheuristic algorithms. The simulation results reveal that PEOA consistently outperforms the compared algorithms, yielding superior outcomes for the majority of benchmark functions. Furthermore, the implementation of PEOA in solving four engineering design problems illustrates its efficacy in real-world optimization applications.