bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Bacillus subtilis Detection Method Targeting Genes codY, narH, and ureC Using Polymerase Chain Reaction
Authors:   Universitas Negeri Jakarta, Nurjayadi Muktiningsih , Berkahingrum Ayu ,   Universitas Negeri Jakarta, Putri Adinda Myra Amalia ,   Universitas Negeri Jakarta, Rahmawati Atikah Nur ,   Universitas Negeri Jakarta, Anggraeni Rosita Gio ,   Universitas Negeri Jakarta, Fahriza Tiara ,   Universitas Negeri Jakarta, Declan Jefferson Lynford ,   Universitas Negeri Jakarta, Putri Gladys Indira ,   Universitas Negeri Jakarta, Krisdawati Ismaya ,   Universitas Negeri Jakarta, Juliansyah Dandy Akbar ,   Universitas Negeri Jakarta, Azzahra Maharanianska ,   Universitas Negeri Jakarta, Maulana Irvan ,   Universitas Negeri Jakarta, Kartika Irma Ratna ,   Universitas Negeri Jakarta, Kurniadewi Fera ,   Universitas Negeri Jakarta, Sukmawati Dalia ,   Universitas Negeri Jakarta, Rahayu Sri ,   Universitas Negeri Jakarta, Saamia Vira ,   Center Forensic Laboratory of the Criminal Investigation, Police of the Republic of Indonesia, Wiranatha I Made ,   Center Forensic Laboratory of the Criminal Investigation, Police of the Republic of Indonesia, Abomoelak Bassam ,   Arnold Palmer Hospital Paediatric Speciality Diagnostic Laboratory, Orlando, El Enshasy Hesham ,   Universiti Teknologi Malaysia (UTM)
Published: May 2024

Bacillus subtilis, a causative agent of foodborne illness in bread, cakes, cereals, and cheese leading to symptoms like diarrhea and nausea, was investigated for its role in nosocomial infections, including endocarditis, bacteremia, septicemia, and meningitis. The research focused on three genes: codY, narH, and ureC, which respectively contribute to bacterial survival through biofilm and spore formation, acid resistance, and adaptation to anaerobic conditions. The objective of this study was to evaluate the codY, narH, and ureC genes using the Gradient PCR method for Bacillus subtilis detection in bread and cheese through Real-Time PCR. During the research, bacterial growth was observed with an OD600 of 1.438 in Tryptic Soy Broth (TSB), and colonies of medium size, smooth, cream-coloured, and round shape were successfully isolated on Tryptic Soy Agar (TSA). The DNA template used had a 71.5 ng/µL concentration with an A260/280 ratio of approximately 1.830. The annealing temperature for Gradient PCR used was 53-62°C. The primers successfully amplified codY (175 bp), narH (222 bp), and ureC (153 bp) gene amplicons. The optimal annealing temperature for the primers used was 60°C, as indicated by the presence of a single bright band in electrophoresis. Using these three different genes, testing can also be conducted with the Multiplex PCR method. The next step involves developing a detection kit using optimized primers and annealing temperatures for the identification of Bacillus subtilis in bread and cheese samples using Real-Time PCR.
Narrativas Sobre Mudanças Climáticas no TikTok Brasil: Entre o Diagnóstico e a Desesperança
Authors: Evangelista Simone , Garcia Marcelo
Published: May 2024

O objetivo deste estudo exploratório é realizar um mapeamento dos discursos em circulação na rede social TikTok ligados à temática das mudanças climáticas no Brasil. Investiga-se, portanto, que narrativas predominam no TikTok brasileiro quando se trata de mudanças climáticas e que sentidos essas narrativas engendram. A partir de metodologia baseada em Basch et al. (2022) com adaptações para o contexto brasileiro, 50 vídeos indicados como os mais relevantes pela plataforma a partir da hashtag #mudancaclimatica foram analisados. Investigamos aspectos como linguagens utilizadas, uso de fontes e estratégias de enfrentamento às mudanças climáticas.Os vídeos foram classificados segundo diversos critérios, como seu posicionamento em relação à veracidade, ou não, das mudanças climáticas, os temas ambientais abordados, impactos sociais e ambientais citados e os eventos climáticos extremos referenciados. Em um contexto de grande popularidade do TikTok no Brasil, disseminação de desinformação em plataformas digitais no país e brasileiros pouco informados sobre as mudanças climáticas, a pesquisa busca compreender em que medida a circulação de narrativas na plataforma pode ser nociva à compreensão do problema. Concluímos que, por um lado, existe relativo consenso em relação à veracidade e gravidade das mudanças climáticas. Por outro, aspectos relacionados à complexidade da questão ficam em segundo plano. Narrativas em tom alarmista, reforçadas pelas affordances da plataforma, aparecem em proeminência. Além disso, fontes utilizadas e canais responsáveis pelas produções são pouco identificáveis, mesmo quando relacionados diretamente à divulgação científica, o que pode representar um problema para o uso desses materiais no enfrentamento ao negacionismo climático.
Developing a plogging activity tracking app using deep learning for image recognition
Authors:   Division of Computer Science and Engineering, Sun Moon University, Asan, South Korea, Lee Jung-Been , Lee Taek ,   Division of Computer Science and Engineering, Sun Moon University, Asan, South Korea, Kim Jeong-Dong ,   Division of Computer Science and Engineering, Sun Moon University, Asan, South Korea, Yoo In-Hye ,   Division of Computer Science and Engineering, Sun Moon University, Asan, South Korea, Kim Da-Bin ,   Division of Computer Science and Engineering, Sun Moon University, Asan, South Korea, Park Jung-Yeon ,   Division of Computer Science and Engineering, Sun Moon University, Asan, South Korea
Published: May 2024

Plogging is an activity that combines jogging with picking up litter, and participants often share their efforts on social media. However, the repetitive bending involved in plogging may cause back strain, and manually entering details such as the location and quantity of litter could slow the spread of this activity. This study sought to create and test a deep learning application to automatically monitor and record plogging by identifying the type and quantity of litter. We employed Convolutional Neural Networks (CNN) and YOLOv5 to develop an image recognition model. This model allowed users to easily log their plogging efforts by simply taking a photograph, removing the need to manually input the litter details. Moreover, we proposed a reward system that uses the collected trash amount and the distance covered to promote competition among users. We developed the first application that uses deep learning to automatically identify litter for tracking plogging activities. However, as this application was only a prototype, no comparative studies or usability tests were done. In future research, we plan to assess the application's usability and compare it with other similar applications.
A systematic literature review on the effect of information systems on the performance of government officials
Authors:   Centre for Research in Development, Social and Environment (SEEDS), Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, Kasim Mohamad Kamil Mohamad , Awang Azahan ,   Centre for Research in Development, Social and Environment (SEEDS), Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia, Jaafar Mokhtar ,   Centre for Research in Development, Social and Environment (SEEDS), Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
Published: May 2024

The use of information systems (IS) in the public sector has significantly increased, especially with the introduction of the electronic government system (EGS), which makes it easier for citizens to access government services. Even though there has been a lot of investment in information technology (IT), it's still unclear how much these investments improve productivity. This study thoroughly examines research papers, journals, and conference reports from the past ten years to assess the effect of information systems on the performance of government workers in different areas. Following the reporting standard for systematic evidence syntheses (ROSES), a detailed search was conducted using databases such as Web of Science and Scopus. The study uses the PICo (population, interest, and context) strategy to identify key areas of focus, such as Skill development, return on investment (ROI), strategic decision-making, and innovative thinking. This research plays a crucial role in developing policies and guiding the deployment of information systems to enhance the effectiveness of government officials and other stakeholders. It also looks into factors and situations that might improve or weaken the impact of IS on performance in government contexts. The outcomes of this systematic review help in understanding the complex relationship between information systems and the performance of government workers more clearly. The findings provide valuable guidance for policymakers, government organizations, and scholars, offering strategies to make the most of information systems to improve government workers' performance and productivity.
Effects of the “AI-TA” Mobile App With Intelligent Design on Psychological and Related Symptoms of Young Survivors of Breast Cancer: Randomized Controlled Trial
Authors: Jiang Lulu , Xu Jiehui , Wu Yanwei , Liu Yanyan , Wang Xiyi , Hu Yun
Published: May 2024

Background

Young women often face substantial psychological challenges in the initial years following cancer diagnosis, leading to a comparatively lower quality of life than older survivors. While mobile apps have emerged as potential interventions, their effectiveness remains inconclusive due to the diversity in intervention types and variation in follow-up periods. Furthermore, there is a particular dearth of evidence regarding the efficacy of these apps’ intelligent features in addressing psychological distress with these apps.

Objective

This study aims to evaluate the effectiveness of a mobile app with intelligent design called “AI-TA” on cancer-related psychological health and ongoing symptoms with a randomized controlled design.

Methods

Women aged 18 to 45 years diagnosed with breast cancer were randomly assigned to the intervention or control group. The intervention was AI-TA, which included 2-way web-based follow-up every 2 weeks. Both intention-to-treat (ITT) and per-protocol (PP) analyses employed repeated measurement analysis of variance. The participants’ background features, primary outcomes (psychological distress and frequency, self-efficacy, and social support), and secondary outcomes (quality of life) were measured using multiple instruments at 3 time points (baseline, 1-month intervention, and 3-month intervention).

Results

A total of 124 participants were randomly allocated to the control group (n=62, 50%) or intervention group (n=62, 50%). In total, 92.7% (115/124) of the participants completed the intervention. Significant improvements in psychological symptoms (Memorial Symptom Assessment Scale-Short Form) were observed in the ITT group from baseline to 1-month intervention relative to the control group (ITT vs control: 1.17 vs 1.23; P<.001), which persisted at 3-month follow-up (ITT vs control: 0.68 vs 0.91; P<.001). Both the ITT and PP groups exhibited greater improvements in self-efficacy (Cancer Behavior Inventory-Brief Version) than the control group at 1-month (ITT vs PP vs control: 82.83 vs 77.12 vs 65.35; P<.001) and 3-month intervention (ITT vs PP vs control: 92.83 vs 89.30 vs 85.65; P<.001). However, the change in social support (Social Support Rating Scale) did not increase significantly until 3-month intervention (ITT vs control: 50.09 vs 45.10; P=.002) (PP vs control: 49.78 vs 45.10; P<.001). All groups also experienced beneficial effects on quality of life (Functional Assessment of Cancer Therapy-Breast), which persisted at 3-month follow-up (P<.001).

Conclusions

The intelligent mobile app AI-TA incorporating intelligent design shows promise for reducing psychological and cancer-related symptoms among young survivors of breast cancer.

Trial Registration

Chinese Clinical Trial Registry ChiCTR2200058823; https://www.chictr.org.cn/showproj.html?proj=151195
The Effectiveness of Patient Education on Laparoscopic Surgery Postoperative Outcomes to Determine Whether Direct Coaching Is the Best Approach: Systematic Review of Randomized Controlled Trials
Authors: Maheta Bhagvat , Shehabat Mouhamad , Khalil Ramy , Wen Jimmy , Karabala Muhammad , Manhas Priya , Niu Ashley , Goswami Caroline , Frezza Eldo
Published: May 2024

Background

As of 2022, patient adherence to postoperative guidelines can reduce the risk of complications by up to 52.4% following laparoscopic abdominal surgery. With the availability of various preoperative education interventions (POEIs), understanding which POEI results in improvement in patient outcomes across the procedures is imperative.

Objective

This study aims to determine which POEI could be the most effective on patient outcomes by systematically reviewing all the POEIs reported in the literature.

Methods

In total, 4753 articles investigating various POEIs (eg, videos, presentations, mobile apps, and one-on-one education or coaching) were collected from the PubMed, Embase, and Scopus databases. Inclusion criteria were adult patients undergoing abdominal laparoscopic surgery, randomized controlled trials, and studies that provided postoperative outcomes. Exclusion criteria included studies not published in English and with no outcomes reported. Title and abstract and full-text articles with POEI randomized controlled studies were screened based on the above criteria through a blinded, dual review using Covidence (Veritas Health Innovation). Study quality was assessed through the Cochrane Risk of Bias tool. The included articles were analyzed for educational content, intervention timing, intervention type, and postoperative outcomes appropriate for a particular surgery.

Results

Only 17 studies matched our criteria, with 1831 patients undergoing laparoscopic cholecystectomy, bariatric surgery (gastric bypass and gastric sleeve), and colectomy. In total, 15 studies reported a statistically significant improvement in at least 1 patient postoperative outcome. None of these studies were found to have an overall high risk of bias according to Cochrane standards. In total, 41% (7/17) of the included studies using direct individual education improved outcomes in almost all surgery types, while educational videos had the greatest statistically significant impact for anxiety, nausea, and pain postoperatively (P<.01). Direct group education demonstrated significant improvement in weight, BMI, exercise, and depressive symptoms in 33% (2/6) of the laparoscopic gastric bypass studies.

Conclusions

Direct education (individual or group based) positively impacts postoperative laparoscopic surgery outcomes.

Trial Registration

PROSPERO CRD42023438698; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=438698
Evaluating a Computer Vision-Based Rehabilitation Program for Osteosarcoma Patients: Randomized Controlled Trial (Preprint)
Authors: Bao Zhen , Liu Di , Wang Wei , Yang Jing
Published: May 2024

UNSTRUCTURED

Abstract
Background: Osteosarcoma can affect the function of the lower limbs when found in the distal femur and proximal tibia. Following total knee arthroplasty, patient may exhibit instability, limited range of motion, difficulty walking, reduced ability to bear weight, joint pain, joint dysfunction, and a decrease in daily life performance. This study aims to evaluate the efficacy of a computer vision-based intelligent rehabilitation program to manage patients post-operatively.
Method: 96 patients with osteosarcoma requiring knee arthroplasty were recruited. Patients were randomized into either the intelligent rehabilitation group (IRG) or natural rehabilitation group (NRG) with an equal distribution. The main endpoints included the range of motion (ROM) of the knee joint and Knee injury and Osteoarthritis Outcome Score (KOOS). Secondary outcomes include 6-minute walk test (6MWT), Timed Up and Go test (TUG), the Toronto Extremity Salvage Score (TESS), SF-36 Scale Role Limitations due to Emotional Problems (RE), and Mental Health (MH) at three months and six months post-operatively.
Results: In a 6-month study periodl, participants successfully concluded the trial.The IRG showed significant improvement in ROM (p=0.015), KOOS, 6-minute walk test (6MWT) (p=0.037), Timed Up and Go (TUG) test (p=0.041), Treatment Effectiveness and Satisfaction Survey (TESS) score (p=0.039), SF-36 Role Limitations due to Emotional Problems (RE) score (p<0.001) , and SF-36 Mental Health (MH) score (p<0.001) .
Conclusion: This study provided evidence that the participants in the IRG showed considerable enhancements in joint function relative to the NRG. These findings confirmed the effectiveness of the computer vision-based intelligent rehabilitation in the post-surgery recovery of knee arthroplasty in osteosarcoma.
Effects of smartphone intervention on drinking adolescents and college students：A Systematic Review and Meta-analysis of Randomized Controlled Trials (Preprint)
Authors: Ning Lianzhen
Published: May 2024

BACKGROUND

Young people (18–25) consume the most alcohol compared to other age groups, with teenagers (12–18) coming in second. The use of technology to limit alcohol intake is becoming increasingly popular due to the demand for novel, more effective intervention tactics.

OBJECTIVE

This systematic review and meta-analysis was to determine if smartphone intervention leads to lower alcohol use among　drinking adolescents and college students.

METHODS

7 electronic databases (Pubmed, Medline, CINAHL, Web of Science, Scoups, Embase, and the Cochrane Central Register) were searched up to March 19, 2024. Included were randomized controlled trials with a control group that looked at how smartphone interventions affected college students' and adolescents' alcohol intake. The study's quality was evaluated, and independent data extraction was carried out.Bias risks were assessed using the Cochrane collaboration tool.A meta-analysis was carried out by using fixed effects models to calculate the standardized mean difference of the quantity (standard glasses/week) in the group receiving smartphone intervention and the control group.A meta-analysis was carried out by using random effects models to calculate the weighted mean difference of the Peak eBAC、 the frequency (drinking occasions/week) and the Binge occasions in the group receiving smartphone intervention and the control group. To investigate the possible moderating effects of several parameters (e.g., types of interventions, duration of interventions, age, and measurement methods) , subgroup analyses were carried out.

RESULTS

This review covered ten studies: seven mobile app interventions and three SMS text messaging interventions. In summary, the risk of bias in the included studies was tiny. Relative to the control group, the utilization of martphone intervention drastically decreased the quantity (standard glasses/week) (standardized mean difference [SMD] -0.07, 95% CI:-0.12 to 0.02, P=.004) , but not for the frequency (drinking occasions/week)(weighted mean difference [WMD] -0.18, 95% CI:-0.40 to 0.04, P=.101) , the Binge occasions ([WMD] -0.17, 95% CI:-0.41 to 0.07, P=.170), and the peak estimated blood alcohol concentration( Peak eBAC) ([SMD] -0.09, 95% CI:-0.25 to -0.08, P=.224). The results of subgroup analyses indicated that app intervention ([SMD] -0.06, 95% CI -0.12 to -0.01, P=.030) ,≤ 18 years old ([SMD] -0.13, 95% CI:-0.24 to -0.03, P=.010) , "≥ 12 weeks" ([SMD] -0.10, 95% CI:-0.17 to -0.03, P=.003) and Daily Drinking Questionnaire (DDQ) can significantly reduce the quantity (standard glasses/week).

CONCLUSIONS

Meta-analysis results suggest that smartphone-based intervention could be a promising technique for reducing the quantity (standard glasses /week) of harmful drinking among teenagers and college students.

CLINICALTRIAL

PROSPERO registration number （CRD42024526646)
Beyond the margins: evaluating the necessity and timing of supramarginal resection in glioblastoma management
Authors: Chaulagain Dipak , Smolanka V.I. , Smolanka A.V. , Havryliv T.S.
Published: May 2024

Glioblastoma, classified as a grade IV astrocytoma by the World Health Organization, continues to be a very aggressive cancer that requires a comprehensive strategy comprising surgery, radiation, and chemotherapy. Traditionally, gross total resection has primarily targeted the contrast-enhanced regions shown on T1-weighted magnetic resonance images. However, current studies suggest a more aggressive approach that focuses on removing the areas around the tumor, called supramarginal resection. This innovative strategy seeks to go beyond traditional bounda-ries, offering possible advantages for survival. However, it also raises worries over the removal of brain tissue that is crucial for important functions. The extremely poor prognosis of glioblastoma, characterized by a median survival of 10 months, highlights the pressing need for novel approaches to treatment. The aim of the study is to evaluate the influence of resection with a margin that extends much beyond the contrast enhancement on the survival of certain glioblastoma patients. The potential advantages documented in previous collections of cases are consistent with the notion of personalized surgical decision-making, which questions the prevailing approach of achieving the greatest possible removal of the tumor that is enhanced by contrast. Nevertheless, the potential neurological risks should be thoroughly evaluated. The objective of this study is to provide significant insights into improving the management of glioblastoma by examining the careful trade-off between aggressive tumor removal and preserving neurological function in specific groups of patients.
Kajian Kearifan Lokal Masyarakat Pesisir Daerah Istimewa Yogyakarta dalam Menghadapi Potensi Multi-Bencana
Authors: Saiddinullah Adji , Saputra Erlis
Published: May 2024

Abstrak Daerah Istimewa Yogyakarta (DIY) memiliki kompleksitas potensi multi-bencana. Dalam menghadapi kondisi ini, maka identifikasi respons masyarakat dalam wujud kearifan lokal menjadi penting. Penelitian ini bertujuan untuk memahami potensi multi-bencana di wilayah pesisir DIY pada geographical settings yang berbeda, mengeskplorasi kearifan lokal masyarakat pesisir DIY dalam menghadapi potensi multi-bencana, serta menganalisis tingkat pengaplikasian kearifan lokal tersebut pada geographical settings yang berbeda. Pengumpulan data dalam penelitian ini menggunakan triangulasi data yaitu wawancara (wawancara semi terstruktur dan mendalam), observasi lapangan, dan studi literatur. Hasil penelitian ini menunjukkan bahwa perbedaan geographical settings wilayah kepesisiran DIY telah memengaruhi keberagaman potensi multi-bencana di wilayah ini. Masyarakat pesisir DIY memiliki kearifan lokal yang sangat beragam dalam menghadapi potensi multi-bencana. Kearifan lokal ini tumbuh secara intrinsik, ekstrinsik, dan intrinsik-ekstrinsik. Pengaplikasian kearifan lokal secara intrinsik dalam menghadapi potensi multi-bencana di wilayah pesisir DIY dominan memiliki tingkat klasifikasi sedang, sedangkan pengaplikasian kearifan lokal secara ekstrinsik dominan memiliki tingkat klasifikasi tinggi. Abstract The Special Region of Yogyakarta (DIY) has the complexity of multi-disaster potentials. In facing this condition, the identification of community responses in the form of local wisdom becomes crucial. This research aims to understand the multi-disaster potentials in the coastal areas of DIY in different geographical settings, explore the local wisdom of coastal communities in DIY in dealing with multi-disaster potentials, and analyze the level of application of this local wisdom in different geographical settings. Data collection in this research uses data triangulation, namely interviews (semi-structured and in-depth interviews), field observations, and literature studies. The results of this research indicate that the differences in geographical settings in the coastal areas of DIY have influenced the diversity of multi-disaster potentials in this region. Coastal communities in DIY have a highly diverse local wisdom in dealing with multi-disaster potentials. This local wisdom grows intrinsically, extrinsically, and intrinsically-extrinsically. The intrinsic application of local wisdom in dealing with multi-disaster potentials in the coastal areas of DIY predominantly has a moderate classification level, while the extrinsic application of local wisdom predominantly has a high classification level.
Longitudinal Plasma Metabolome Patterns and Relation to Kidney Function and Proteinuria in Pediatric CKD
Authors: Lee Arthur M. , Xu Yunwen , Hu Jian , Xiao Rui , Hooper Stephen R. , Hartung Erum A. , Coresh Josef , Rhee Eugene P. , Vasan Ramachandran S. , Kimmel Paul L. , Warady Bradley A. , Furth Susan L. , Denburg Michelle R. ,   on behalf of the CKD Biomarkers Consortium
Published: May 2024

Key Points

Longitudinal untargeted metabolomics.

Children with CKD have a circulating metabolome that changes over time.

Background

Understanding plasma metabolome patterns in relation to changing kidney function in pediatric CKD is important for continued research for identifying novel biomarkers, characterizing biochemical pathophysiology, and developing targeted interventions. There are a limited number of studies of longitudinal metabolomics and virtually none in pediatric CKD.

Methods

The CKD in Children study is a multi-institutional, prospective cohort that enrolled children aged 6 months to 16 years with eGFR 30–90 ml/min per 1.73 m2. Untargeted metabolomics profiling was performed on plasma samples from the baseline, 2-, and 4-year study visits. There were technologic updates in the metabolomic profiling platform used between the baseline and follow-up assays. Statistical approaches were adopted to avoid direct comparison of baseline and follow-up measurements. To identify metabolite associations with eGFR or urine protein-creatinine ratio (UPCR) among all three time points, we applied linear mixed-effects (LME) models. To identify metabolites associated with time, we applied LME models to the 2- and 4-year follow-up data. We applied linear regression analysis to examine associations between change in metabolite level over time (∆level) and change in eGFR (∆eGFR) and UPCR (∆UPCR). We reported significance on the basis of both the false discovery rate (FDR) <0.05 andP< 0.05.

Results

There were 1156 person-visits (N: baseline=626, 2-year=254, 4-year=276) included. There were 622 metabolites with standardized measurements at all three time points. In LME modeling, 406 and 343 metabolites associated with eGFR and UPCR at FDR <0.05, respectively. Among 530 follow-up person-visits, 158 metabolites showed differences over time at FDR <0.05. For participants with complete data at both follow-up visits (n=123), we report 35 metabolites with ∆level–∆eGFR associations significant at FDR <0.05. There were no metabolites with significant ∆level–∆UPCR associations at FDR <0.05. We report 16 metabolites with ∆level–∆UPCR associations atP< 0.05 and associations with UPCR in LME modeling at FDR <0.05.

Conclusions

We characterized longitudinal plasma metabolomic patterns associated with eGFR and UPCR in a large pediatric CKD population. Many of these metabolite signals have been associated with CKD progression, etiology, and proteinuria in previous CKD Biomarkers Consortium studies. There were also novel metabolite associations with eGFR and proteinuria detected.
Analysis of the Chain-Mediated Effects of Narrative Care Skills and Evidence-Based Nursing Competencies between Clinical Nurse Core Competencies and Sense of Career Benefit
Authors: Hou Chenyang , Li Rufan , Li Wenhua , Li Meng
Published: May 2024

Background: To understand the current status of clinical nurses' narrative care skills and evidence-based nursing competence, and to explore their chain-mediated roles between nurses' core competence and sense of career benefit, so as to provide references for improving nurses' sense of career benefit and positively developing nursing teams. Methods: A general information questionnaire, narrative competence scale for healthcare professionals, evidence-based nursing competency scale, registered nurse core competency scale, and nurses' sense of career benefit questionnaire were used to survey 716 nurses, and the chain mediation model was constructed and tested. Results: The total evidence-based nursing competency score of clinical nurses was (65.53±9.17), which was at a moderate level. The total score of narrative care skills (113.57±18.52), the total score of nurses' core competence (179.15±33.37), and the total score of nurses' sense of career benefit (109.37±20.81) were in the middle level; narrative care skills and evidence-based nursing competence acted as chain mediators between nurses' core competence and their sense of career benefit, and the mediation effects were respectively 0.006, 0.014. Conclusion: Narrative care skills and evidence-based nursing competency were at intermediate level, and the chain mediating effect of narrative care skills and evidence-based nursing competency indirectly predicted nurses' sense of professional benefit. It is suggested that nursing leaders can carry out lectures and training courses to improve nurses' narrative care skills and evidence-based nursing competence, to promote nurses' sense of career identity and to create a good nurse-patient relationship, which will be conducive to the positive development of the nursing team in the modern healthcare environment.
Global Citizenship and Internationalization at Home: Insights from the BRASUIS Virtual Exchange Project
Authors: Finardi Kyria , Salvadori Juliana , Wehrli Andrea
Published: May 2024

This paper reports on the BRASUIS Virtual Exchange (VE) Project carried out in two universities in Brazil and another one in Switzerland. The theoretical framework informing the research is that of Collaborative Online International Learning COIL/VE as a strategy to develop Global Citizenship (GC) and Internationalization at Home (IaH) in the three institutions involved. The BRASUIS project involved 26 students from the universities involved and eight international scholars as guest speakers. The project included both synchronous and asynchronous exchanges carried out over 14 weeks. The methodology employed to analyze the impact of the BRASUIS project on the institution’s IaH and GC approach is qualitative, using content analysis to look at data from reflection reports and observations produced by the project participants and lecturers. Results of the analysis reveal a varying degree of institutionalised internationalisation when comparing Brazilian and Swiss institutions and suggest that the BRASUIS project made a significant contribution to the development of GC and IaH in the Brazilian institutions involved and though it was a teacher-led innovation, there is potential to institutionalize VE projects beyond individual teachers’ efforts in those institutions. Results are discussed in terms of the challenges and benefits of VE to develop GC and IaH.
Some remarks on summability defined by invariant mean in intuitionistic fuzzy 2-normed spaces
Authors: Aslam Sumaira , Kumar Vijay , Aslam Sumaira
Published: May 2024

In present paper, we aim to define a new summability method using σ-mean called σ-statistical summability in an intuitionistic fuzzy 2- normed space (briefly IF2NS). We also define σ-statistical cauchy sequence in an IF2NS and study some of their properties. We display example that shows our method of summability is more stronger in these spaces.
Higher order mKdV breathers: nonlinear stability
Authors: Alejo Miguel A.
Published: May 2024

We are interested in stability results for breather solutions of the 5th, 7th and 9th order mKdV equations. We show that these higher order mKdV breathers are stable in $H^2(\R)$, in the same way as \emph{classical} mKdV breathers. We also show that breather solutions of the 5th, 7th and 9th order mKdV equations satisfy the same stationary fourth order nonlinear elliptic equation as the mKdV breather, independently of the order, 5th, 7th or 9th, considered.
El uso del process tracing y los mecanismos causales: una propuesta metodológica para los estudios de ciencia política en América Latina
Authors: Taguenca Juan Antonio
Published: May 2024

El trazado de procesos causales es una metodología que busca implicaciones observables en procesos causales basados en supuestos. Esto lo hace a través de estudios de caso orientados hacia esa búsqueda. Su objetivo es establecer si una sucesión de eventos o procesos del caso se ajustan con lo explicado por la teoría anteriormente, lo que permite identificar las consecuencias de lo que se puede observar como causa de los mecanismos (M) analizando las partes (n) que lo conforman. Al respecto, se integran piezas “diagnósticas” procedentes del estudio de caso y conformadas con la evidencia disponible que permiten sostener o no los supuestos que se han tenido en cuenta en el diseño de la investigación. En este artículo tenemos como objetivo explicitar en qué consiste la metodología del trazado de procesos causales y de los mecanismos causales. Esto permitirá establecer si su utilización es apropiada para el desarrollo de la ciencia política en nuestra región.
Impacto das mudanças climáticas na estimativa da capacidade requerida de reservatórios de detenção para Fortaleza (CE)
Authors: Sales Inêz Gifone Maia , Meneses Filho Anísio de Sousa
Published: May 2024

O presente estudo estimou a capacidade requerida de reservatórios de detenção para os tempos de retorno de 5, 10 e 25 anos para cada uma das três microbacias escolhidas: A3.5 - Vertente Marítima, B1.4 - Cocó e C5.2 – Maranguapinho, utilizando a metodologia generalizada a partir de equações particularizadas para Fortaleza (CE), e o pré-dimensionamento a partir das novas equações IDF para o cenário atual e as prospectadas para o futuro recorrendo a modelos de circulação global em diferentes cenários de mudanças climáticas – otimista (RCP 4.5) e pessimista (RCP 8.5). Observou-se o impacto relevante do aquecimento global no volume a ser armazenado, na vazão máxima e no volume específico para a IDF do modelo de circulação global – CESM1-CAM5, quando comparado à IDF atual e ao modelo BCC-CSM1 em ambos os cenários. O que pode apontar a necessidade de se projetar uma estrutura mais robusta e onerosa para mitigar os efeitos dos extremos climáticos. Ao contrário, os resultados da IDF do modelo BCC-CSM1 mostraram-se inferiores para ambos os patamares de 4.5 e 8.5, em relação à IDF atual e ao modelo CESM1-CAM5, implicando em um possível subdimensionamento. Atentando-se que, as mudanças climáticas e os diversos modelos de circulação global com suas diferentes respostas, trazem dificuldades para a tomada de decisão, apresentando-se um futuro incerto e desafiador para os processos decisórios. Recomendam-se ainda, estudos futuros associando modelos de circulação global e demais tipos de técnicas compensatórias isoladas.
Avaliação da leptospirose e sua relação com chuvas e situação de risco associada a enchentes
Authors: Cardoso Karoline de Souza , Vidal Carlos Magno de Sousa , Souza Jeanette Beber de
Published: May 2024

A leptospirose é uma doença transmitida por bactérias presentes em excretas de animais infectados (principalmente roedores), ela geralmente apresenta elevação em seus índices de notificação em períodos chuvosos e com enchentes. Neste artigo objetivou-se avaliar se há associação entre casos de leptospirose e períodos de enchente na região contemplada pela 4ª Regional de Saúde do Paraná, assim como com os níveis de precipitação registrados no local durante o período estudado. Para tal, foi realizado o levantamento de dados epidemiológicos disponibilizados pela Seção de Vigilância Epidemiológica da 4ª Regional de Saúde (SCVGE/04RS), a partir da organização e tabulação das informações e análises estatísticas dos fatores de interesse. A partir dos dados não se encontrou correlação significativa entre incidência de leptospirose com a situação de risco de contato com água ou lama de enchente nos 30 dias antecedentes dos primeiros sintomas do agravo e nem com os índices de precipitação acumulados no período estudado. Este trabalho evidenciou características específicas em relação ao agravo avaliado que podem auxiliar os gestores da região na tomada de decisão para melhorias nas áreas contempladas pela temática abordada que podem trazer benefícios para a saúde pública.
Urban biomining: lithium recovery from spent batteries through multi-step bioprocesses
Authors: Buonomo Agustina Belén , Higa Romina Esther , Sánchez Laura Miriam , Gargarello Romina Mariel
Published: May 2024

Multi-step design to evaluate the bio-recovery of lithium from spent batteries was studied. The first step consisted of lithium extraction from spent batteries, using bacterial and fungal acid extrolites. The second step explored lithium recovery in the form of carbonate salts by using MICP (Microbial Induced Carbonate Precipitation) bacteria from Sporosarcina species. For lithium extraction (Step 1) sulfuric acid produced by sulphur oxidizing bacteria Acidithiobacillus thiooxidans was evaluated for its capacity to leach lithium. Extraction with biogenic sulfuric acid and with fungal bio- produ-cts (from Aspergillus sp. and Simplicillum sp. isolated at our facilities) were compared with commercial sulfuric acid. For biorecovery processes (Step 2), two type strains of Sporosarcina sp. were tested due to their capacity to precipitate lithium carbonate. Results showed fungal bioextracts gave a lithium leaching yield close to 60% and a global recovery yield of 27%. These observations are reported for the first time and lay the foundations for continuing the study and scaling up of this combined process for lithium recovery.
College Information Management System
Authors: Lobo Cheryl
Published: May 2024

Abstract: Our website aims to simplify education by providing a single platform for students, teachers, and parents, eliminating multiple logins. Teachers can upload grades, share resources, and send notifications, while parents can monitor progress. Students can track performance, access materials, and stay informed. Using HTML, CSS, JavaScript, MySQL, and PHP, we prioritize simplicity and accessibility. Security measures like encryption safeguard user data. With a menu-driven interface and robust data storage, we focus on enhancing the user experience for all stakeholders
Analyzing the Impact of AI-Tools on Human Resource Practices
Authors: Venu Arjun C
Published: May 2024

Abstract: The rapid progress of automation technologies has brought about significant transformations in various aspects of modern workplaces, and the Human Resources (HR) department is no exception. The purpose of this thesis is to examine how automation affects employees in the HR field. The research will employ multiple methods to explore this topic. Through this approach, the study aims to contribute to the existing body of knowledge regarding the impact of automation on HR functions and employees, as well as shed light on the implications for HR department employees. The findings from this research are expected to provide valuable insights for HR professionals, organizational leaders, and policymakers, helping them understand the opportunities and challenges that come with adopting automationin HR. This understanding will ultimately assist in making informed decisions and developingstrategic plans to navigate the evolving digital landscape of work. This in-depth analysis explores the profound and diverse impacts of automation on human resource (HR) practices in modern organizational settings. Automation has permeated various aspects of HR management, including recruitment, employee engagement, and compliance, resulting in far-reaching and transformative effects. By utilizing AI algorithms, automation optimizes processes, streamlines recruitment efforts, and expedites onboarding through virtual assistants and electronic documentation. Additionally, it enhances performance management by providing real-time feedback mechanisms and personalized training modules facilitated by learning management systems (LMS) and immersive technologies such as virtual reality (VR) and augmented reality (AR). The integration of automation also revolutionizes data analytics, equipping HR professionals with predictive insights for strategic decision-making and risk mitigation. Despite its undeniable benefits in terms of efficiency and scalability, the rise of automation presents challenges such as job displacement and the need for continuous upskillingof HR professionals. Therefore, a nuanced and strategic approach to implementing automationis crucial, with a focus on balancing its advantages while addressing these challenges.
Judicialização em saúde na garantia de acesso aos medicamentos no Brasil: uma revisão de literatura
Authors: Ferreira da Silva Neto Irineu , De Oliveira Elanny , Lira Gregório Maria Juliana , Gonçalves de Moraes Samille , Bringel Silva Ingrid Grangeiro , Ferreira Brandão Monísya Oliveira
Published: May 2024

Objetivou-se investigar na literatura o processo de judicialização em saúde na garantia de acesso aos medicamentos no Brasil. Realizou-se um levantamento na National Library of Medicine (PubMed), utilizando os descritores: “Access to health”, “Judicialization in health” e “Drugs”, combinados pelo operador booleano "AND". Incluiu-se estudos disponíveis na íntegra no idioma inglês, sendo eles publicados entre 2011 e 2022. Selecionou-se pesquisas classificadas como descritivas, exploratórias ou observacionais. Foram exclusos estudos de monografias, dissertações, teses e pesquisas que não estavam relacionadas diretamente ao objetivo proposto. A partir da análise dos dados, constatou-se que as demandas judiciais de saúde proporcionam impactos negativos sobre o Sistema Único de Saúde (SUS) o que, consequentemente, amplia a inequidade de saúde por falta de recursos. A literatura destaca que a defensoria pública está associada ao contencioso de direito à saúde e que grande parte dos processos judiciais em saúde são de indivíduos pobres e idosos que não residem em áreas metropolitanas. Ademais, relata-se também que a judicialização, na maioria das vezes, não atinge os municípios de maior vulnerabilidade socioeconômica. O país hoje conta com uma disparidade regional nos cuidados de saúde com os grupos pobres mais desfavorecidos. Assim, o governo deve estabelecer prioridade nas políticas públicas, bem como monitorar a implementação especialmente nos locais que merecem maior atenção.
Experimental study and simulation of oxygen diffusion in a cultivated meat prototype
Authors: Ravari Mojtaba Khozaei , Pörtner Ralf , Zhang Chijian , Zeng An-Ping
Published: May 2024

This study presents the fabrication of a cultivated meat prototype
featuring a three-dimensional (3D) structure constructed from myoblast
C2C12 cell sheets. The absence of blood vessels in dense structures
poses a significant challenge to oxygen supply of the cells. To address
this, simulations were conducted using the COMSOL Multiphysics package
to estimate the maximum achievable size of the 3D constructs. Key model
parameters, including the oxygen uptake rate, effective diffusion
coefficient, structure porosity, and volumetric mass transfer
coefficient, were experimentally determined to perform the simulation
accurately. The simulation results revealed that, for the current
construct, the maximum achievable structure diameter considering oxygen
availability to the cells is 5 mm. To enhance the reliability of the
simulation model, it underwent validation against experimental data.
This approach represents a valuable strategy with potential applications
in various meat cultivation platforms. Its adaptability allows for
better control over the desired cell microenvironment and optimization
of culture conditions, offering a promising avenue for advancing the
field of cultivated meat production.
Lower incisor position in skeletal Class III malocclusion patients: a comparative study of orthodontic camouflage and orthognathic surgery
Authors: Liu Hao , Zhang Yuning , Lu Wenhsuan , Yang Yuhui , Liu Xiaomo , Chen Si , Li Weiran , Han Bing
Published: May 2024

Objectives

To determine the difference between orthodontic camouflage and orthodontic-orthognathic surgery using the traditional cephalometric measurement IMPA and the newly proposed IA/PAMD, the angle between the long axis of the lower incisor (IA) and the principal axis of the mandibular alveolus (PAMD).

Materials and Methods

This study included 40 cases each in the orthodontic camouflage group (OG) and orthodontic-orthognathic surgery group (SG). The differences between the IMPA and IA/PAMD before and after treatment were compared between the two groups. T0 lateral cephalometric images of the 10 cases with the highest and lowest increase in the IA/PAMD were analyzed to identify characteristics associated with a higher risk of overdecompensation of the lower incisors during presurgical orthodontic treatment.

Results

Both the OG and SG showed a significant improvement in hard- and soft-tissue measurements. However, in the OG, there was significant lingual inclination of the lower incisor but only a small change in the IA/PAMD. In the surgical group, the IMPA was close to 90° after treatment, but the IA/PAMD significantly increased.

Conclusions

In orthodontic camouflage, the lower anterior teeth were significantly moved lingually with a better root-bone relationship. However, this relationship deteriorated in some surgical patients. Therefore, it is important to conduct cephalometric or cone-beam computed tomography examinations during preoperative orthodontics to identify and prevent possible periodontal risks.
Pretreatment with Nicotine Improves Behavioral Recovery and Ameliorates Neuroinflammation in a Rat Model of Spinal Cord Injury
Authors: AR Dehpour
Published: May 2024

Background: This study addresses gaps in understanding the impact of nicotine on neuroinflammation, specifically in the context of secondary spinal cord injury (SCI). Uncertainties persist regarding the cellular and molecular components influenced by nicotine and whether its effects during the chronic phase of SCI are receptor-mediated. The research systematically investigates these aspects, aiming to provide insights into the nuanced mechanisms underlying nicotine’s impact on neuroinflammation in SCI. Methods: Male rats underwent either a sham operation or spinal cord injury (SCI). The study employed four nicotine groups and two methyllycaconitine (MLA) groups as treatment cohorts. Subsequent to behavioral assessments including locomotion impairment and mechanical allodynia, the optimal nicotine dosage was selected for comprehensive cellular and molecular evaluations of neuroinflammation in chronic phase of secondary SCI. Results: The administration of nicotine at a pre-treatment dosage of 1mg/kg demonstrated a mitigating effect on neuroinflammation, evidenced by improvements at both cellular and molecular levels. This intervention led to enhanced spinal cord tissue integrity, decreased M1/M2 polarization, and modulation of pro-inflammatory markers (NF-κB, TNF-α, IL-1β, IL-6), coupled with an increase in anti-inflammatory cytokine IL-10. Notably, these effects were negated upon the α7- nAChR, underscoring the receptor-dependent nature of nicotine’s impact. Conclusion: Pre-treatment with nicotine improved behavioral impairment of SCI possibly through alleviating neuroinflammation by changing macrophage phenotyping and cytokine levels. These effects were mediated by α7 nAChR.