bluuebunny/crossref_metadata_2025 huggingface dataset:
Electronic Learning Media E-Module Open Source-Based on Planetary Type Starter System for Vocational Students
Authors: Setiyawan Andri , Firdaus Doni Yusuf , Suwahyo Suwahyo , Apristia Lelu Dina , Faksi Sanli , Iman Muhammad Syamsuddin Nurul , Abrori Fadhlan Muchlas , Bautista Guillermo
Published: November 2024

Post-pandemic COVID-19 learning that is carried out in a hybrid manner experiences problems, one of which is minimal self-learning supplements, which affect students' understanding of the material. This study aims to develop an e-module using Sigil software on planetary-type starter system material. Hopefully, it can support improving students' knowledge of the material. This research uses the Research and Development (RnD) method with the ADDIE model. The results of this product were tested on a limited basis by using a one-group pretest-posttest design in class XI TKRO-A with 30 students. The results showed that the E-module that had been developed received a very decent category from media experts, who scored 89.26%, and from material experts, who scored 95.5%. The e-module developed can increase the understanding of the material with a gain value of 0.64 with a moderate category, and a score of 93.75% from the students' responses showed that the e-module is feasible. The conclusion is that the e-module developed is very feasible to use in independent learning and the learning process at school.
A Bibliometric Analysis of Green Skills Research in Vocational Education: 2018-2022
Authors: Fitriyanto Muhammad Noor , Wagiran Wagiran , Zannah Fathul , Novian Dian , Mansur Hamsi
Published: November 2024

Green skills (GSs) have become one of the important strategies for achieving sustainable development. It can make the environment effective for social and economic development. The aim of this research is to reveal data on the evolution and development of green skills and trends in the development of green jobs throughout the world. This research uses R Studio and Bibliometrix to analyze 198 papers related to green skills in green jobs published from 2018 to 2022 in the Scopus database using Bibliometrix and visualization mapping methods. The results show a substantial increase in the number of studies GSs in recent years, with the focus area in European and American countries leading this research. Aspects of Will, manufacturing and Energy, and Journals of Green Environmental Management are the first three journals cited in the study of GSs.  Studying the cited literature together on environmentally friendly skills includes, among other things, the relationship between other skills and ecosystems with human good health, green construction, evaluation and green management of environmentally friendly competencies, and analysis of specific aspects of environmentally friendly skills. The results of the analysis of green skills grouping keywords show that there is research that concentrates on green skills in the fields of education, ecosystem services, climate change, and biodiversity protection. In conclusion, this research provides a reference for future studies of green skills necessary for the development of a sustainable educational environment, such as a multidisciplinary approach, adaptation of new technologies, partnerships with sustainable technology green industries, and environmental awareness.
The Role of Teacher in Industry 5.0, Technology, and Social Capital in for Vocational High School Graduates in School-to-Work Transitions
Authors: Utami Pipit , Fajaryati Nuryake , Sudira Putu , Ismail Mohd Erfy , Maneetien Nopadon , Felestin Felestin
Published: November 2024

The large number of graduates who lack the skills needed for the workplace makes it difficult for them to find employment. This study aims to analyze the influence of teachers, technology, and social capital in preparing vocational school graduates for their first jobs. Participants came from five districts in Yogyakarta, including state and private VHS with engineering expertise, including 25 teachers and 99 students. The research steps involve conducting literature reviews, focus group discussions, and data collection via questionnaires. The results show that: (1) the stability of choosing a career that is in line with their education for graduates who study further is better than graduates who work or are entrepreneurs; (2) the measurement model showed valid and reliable results: outer loading (0.702 -0.967), AVE ³ 0.5, Cronbach's alpha ³ 0.7, Fornell-Larcker criterion, and HTMT ratio. The structural model using the SRMR is 0.078 (good fit); (3) With p-value 0.000 (sig 0.05), there is direct significant influence between TCR - TGR (f2 0.897), TCR - SCR (f2 0.638) with large effect, and TCR - STWT (f2 0.310), TGR - STWT (f2 0.189), SCR - STWT (f2 0.267) with medium effect and the indirect influence (TCR - STWT), which is mediated by TGR and SCR. The role of the teacher (TCR) has a significant impact on optimizing the role of technology (TGR) and social capital (SCR) in the STWT effectivity. The role of teachers, technology, and social capital all have significant and medium effects on the STWT smoothness. This is in line with the concept of Industry 5.0, specifically integration. Education in the Industry 5.0 era is dependent not just on the contributors' roles but also on integration.
From Stories to Solutions: A Research Cycle Framework for Enhancing Trustworthiness in Studies of Online Patient Narratives
Authors: Lamprell Klay , Pulido Diana Fajardo , Arnolda Gaston , Easpaig Bróna Nic Giolla , Tran Yvonne , Braithwaite Jeffrey
Published: November 2024

International Registered Report Identifier (IRRID)

RR2-10.2196/25056
Recent Use of Novel Data Streams During Foodborne Illness Cluster Investigations by the United States Food and Drug Administration: Qualitative Review
Authors: Bazaco Michael C , Carstens Christina K , Greenlee Tiffany , Blessington Tyann , Pereira Evelyn , Seelman Sharon , Ivory Stranjae , Jemaneh Temesgen , Kirchner Margaret , Crosby Alvin , Viazis Stelios , van Twuyver Sheila , Gwathmey Michael , Malais Tanya , Ou Oliver , Kenez Stephanie , Nolan Nichole , Karasick Andrew , Punzalan Cecile , Schwensohn Colin , Gieraltowski Laura , Chen Parker Cary , Jenkins Erin , Harris Stic
Published: November 2024

Foodborne illness is a continuous public health risk. The recognition of signals indicating a cluster of foodborne illness is key to the detection, mitigation, and prevention of foodborne adverse event incidents and outbreaks. With increased internet availability and access, novel data streams (NDSs) for foodborne illness reports initiated by users outside of the traditional public health framework have emerged. These include, but are not limited to, social media websites, web-based product reviews posted to retailer websites, and private companies that host public-generated notices of foodborne illnesses. Information gathered by these platforms can help identify early signals of foodborne illness clusters or help inform ongoing public health investigations. Here we present an overview of NDSs and 3 investigations of foodborne illness incidents by the US Food and Drug Administration that included the use of NDSs at various stages. Each example demonstrates how these data were collected, integrated into traditional data sources, and used to inform the investigation. NDSs present a unique opportunity for public health agencies to identify clusters that may not have been identified otherwise, due to new or unique etiologies, as shown in the 3 examples. Clusters may also be identified earlier than they would have been through traditional sources. NDSs can further provide investigators supplemental information that may help confirm or rule out a source of illness. However, data collected from NDSs are often incomplete and lack critical details for investigators, such as product information (eg, lot numbers), clinical or medical details (eg, laboratory results of affected individuals), and contact information for report follow-up. In the future, public health agencies may wish to standardize an approach to maximize the potential of NDSs to catalyze and supplement adverse event investigations. Additionally, the collection of essential data elements by NDS platforms and data-sharing processes with public health agencies may aid in the investigation of foodborne illness clusters and inform subsequent public health and regulatory actions.
Developing and Validating the Health Literacy Scale for Migrant Workers: Instrument Development and Validation Study
Authors: Kang Soo Jin , Oh Hye-Kyung , Han Hae-Ra
Published: November 2024

Background

Research concerning health literacy among migrant workers in South Korea has been limited, especially given the lack of validated instruments and the lack of focus on the cultural diversity of migrant workers.

Objective

This study aimed to develop and validate a health literacy scale for unskilled migrant workers (HLS-MW) in South Korea.

Methods

We first generated a pool of potential items based on a literature review and in-depth interviews with 23 migrant workers. Subsequently, we reviewed empirical referents from the first step to select relevant medical terminologies and passages, ultimately choosing 709 words. The study team initially generated 35 items with 709 health-related terms through empirical referent reviews. After content validity testing by an expert panel, 28 items comprising 89 terms on the 2 subscales of prose and documents were selected for psychometric testing. Overall, 402 unskilled migrant workers in South Korea completed a web-based survey between August and September 2021, with 334 responses included in the final analysis. We used multiple analytic approaches, including exploratory factor analysis, Rasch analysis (item response theory), and descriptive analysis, to examine the new scale’s validity and reliability.

Results

The final sample primarily included young male workers from South Asian countries. The HLS-MW yielded 2 factors: prose and documents. The item difficulty scores ranged from −1.36 to 2.56. The scale was reduced to 13 items (10 prose and 3 document items), with the final version exhibiting good internal reliability (Kuder-Richardson index=0.88; intraclass correlation coefficient=0.94, 95% CI 0.93‐0.95) and test-retest reliability (r=0.74, 95% CI 0.57‐0.92). HLS-MW scores differed significantly by Korean language proficiency (F2,331=3.54, P=.004).

Conclusions

The HLS-MW is a reliable and valid measure to assess health literacy among migrant workers in South Korea. Further studies are needed to test the psychometric properties of the HLS-MW in diverse migrant groups in South Korea while also establishing cutoffs to help identify those in need of health literacy support.
Verification of the Reliability of an Automated Urine Test Strip Colorimetric Program Using Colorimetric Analysis: Survey Study
Authors: Inagaki Keigo , Tsuriya Daisuke , Hashimoto Takuya , Nakamura Katsumasa
Published: November 2024

Background

One method for noninvasive and simple urinary microalbumin testing is urine test strips. However, when visually assessing urine test strips, accurate assessment may be difficult due to environmental influences—such as lighting color and intensity—and the physical and psychological influences of the assessor. These complicate the formation of an objective assessment.

Objectives

This study developed an “automated urine test strip colorimetric program” (hereinafter referred to as “this program”) to objectively assess urine test strips. Using this program may allow urine tests to be conducted at home. In this study, urine samples from hospitalized or outpatient patients were randomly obtained, and the reliability of this program was verified by comparing the agreement rate between this program and an automatic urine analyzer (US-3500 [Eiken Chemical Co, Ltd] and LABOSPECT 006 [Hitachi High-Tech Co, Ltd]). Furthermore, the sensitivity and specificity of the urine albumin test were investigated, and its applicability to screening for microalbuminuria was verified.

Methods

A urine test strip was placed in a photography box with constant light intensity and color temperature conditions. The image taken with a smartphone camera on top of the photography box was judged by this program. This program used Accelerated KAZE to perform image-matching processing to reduce the effect of misalignment during photography. It also calculated and judged the item with the smallest color difference between the color chart and the urine test strip using the CIEDE2000 color difference formula. The agreement rate of the results of this program was investigated using the results of an automatic urine analyzer as the gold standard.

Results

Compared with the judgments of an automatic urine analyzer, the average agreement rate for 12 items (protein, glucose, urobilinogen, bilirubin, ketone bodies, specific gravity, occult blood, pH, white blood cells, nitrite, creatinine, and albumin) was 78.6%. Furthermore, the average agreement rate of the 12 items within ±1 rank was 95.4%. The results showed a sensitivity of 100% and a specificity of 58.6% in determining albumin in urine, which is important for determining the stage of diabetic nephropathy. Finally, the area under the curve (0.907) derived from the receiver operating characteristic curve was satisfactory.

Conclusions

The program developed by the authors can determine urine test strips without requiring calibration in a certain shooting environment. If this program can be used at home to perform urinary microalbumin tests, the early detection and treatment of diabetic nephropathy may prevent the condition from becoming severe.
Public Perceptions of Very Low Nicotine Content on Twitter: Observational Study
Authors: Xie Zidian , Liu Xinyi , Lou Xubin , Li Dongmei
Published: November 2024

Background

Nicotine is a highly addictive agent in tobacco products. On June 21, 2022, the US Food and Drug Administration (FDA) announced a plan to propose a rule to establish a maximum nicotine level in cigarettes and other combusted tobacco products.

Objective

This study aimed to understand public perception and discussion of very low nicotine content (VLNC) on Twitter (rebranded as X in July 2023).

Methods

From December 12, 2021, to January 1, 2023, we collected Twitter data using relevant keywords such as “vln,” “low nicotine,” and “reduced nicotine.” After a series of preprocessing steps (such as removing duplicates, retweets, and commercial tweets), we identified 3270 unique noncommercial tweets related to VLNC. We used an inductive method to assess the public perception and discussion of VLNC on Twitter. To establish a codebook, we randomly selected 300 tweets for hand-coding, including the attitudes (positive, neutral, and negative) toward VLNC (including its proposed rule) and major topics (13 topics). The Cohen κ statistic between the 2 human coders reached over 70%, indicating a substantial interrater agreement. The rest of the tweets were single-coded according to the codebook.

Results

We observed a significant peak in the discussion of VLNC on Twitter within 4 days of the FDA’s announcement of the proposed rule on June 21, 2022. The proportion of tweets with a negative attitude toward VLNC was significantly lower than those with a positive attitude, 24.5% (801/3270) versus 37.09% (1213/3270) with P<.001 from the 2-proportion z test. Among tweets with a positive attitude, the topic “Reduce cigarette consumption or help smoking cessation” was dominant (1097/1213, 90.44%). Among tweets with a negative attitude, the topic “VLNC leads to more smoking” was the most popular topic (227/801, 28.34%), followed by “Similar toxicity of VLNC as a regular cigarette” (223/801, 27.84%), and “VLNC is not a good method for quitting smoking” (211/801, 26.34%).

Conclusions

There is a more positive attitude toward VLNC than a negative attitude on Twitter, resulting from different opinions about VLNC. Discussions around VLNC mainly focused on whether VLNC could help people quit smoking.
Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study
Authors: Giebel Godwin Denk , Raszke Pascal , Nowak Hartmuth , Palmowski Lars , Adamzik Michael , Heinz Philipp , Tokic Marianne , Timmesfeld Nina , Brunkhorst Frank , Wasem Jürgen , Blase Nikola
Published: November 2024

Background

Digitalization is currently revolutionizing health care worldwide. A promising technology in this context is artificial intelligence (AI). The application of AI can support health care providers in their daily work in various ways. The integration of AI is particularly promising in clinical decision support systems (CDSSs). While the opportunities of this technology are numerous, the problems should not be overlooked.

Objective

This study aimed to identify challenges and barriers in the context of AI-based CDSSs from the perspectives of experts across various disciplines.

Methods

Semistructured expert interviews were conducted with different stakeholders. These included representatives of patients, physicians and caregivers, developers of AI-based CDSSs, researchers (studying AI in health care and social and health law), quality management and quality assurance representatives, a representative of an ethics committee, a representative of a health insurance fund, and medical product consultants. The interviews took place on the web and were recorded, transcribed, and subsequently subjected to a qualitative content analysis based on the method by Kuckartz. The analysis was conducted using MAXQDA software. Initially, the problems were separated into “general,” “development,” and “clinical use.” Finally, a workshop within the project consortium served to systematize the identified problems.

Results

A total of 15 expert interviews were conducted, and 309 expert statements with reference to problems and barriers in the context of AI-based CDSSs were identified. These emerged in 7 problem categories: technology (46/309, 14.9%), data (59/309, 19.1%), user (102/309, 33%), studies (17/309, 5.5%), ethics (20/309, 6.5%), law (33/309, 10.7%), and general (32/309, 10.4%). The problem categories were further divided into problem areas, which in turn comprised the respective problems.

Conclusions

A large number of problems and barriers were identified in the context of AI-based CDSSs. These can be systematized according to the point at which they occur (“general,” “development,” and “clinical use”) or according to the problem category (“technology,” “data,” “user,” “studies,” “ethics,” “law,” and “general”). The problems identified in this work should be further investigated. They can be used as a basis for deriving solutions to optimize development, acceptance, and use of AI-based CDSSs.

International Registered Report Identifier (IRRID)

RR2-10.2196/preprints.62704
I-DAIR CODEX: A Predictive Analytics No-Code Platform for Public Health Research in Africa (Preprint)
Authors: Cygu Steve , Kiragga Agnes , Deak Oliver
Published: November 2024

BACKGROUND

In the era of rapid digital evolution, the application of artificial intelligence (AI) and machine learning (ML) has emerged as a valuable strategy for organizations seeking to extract insights from large datasets. However, the adoption of AI and ML, traditionally associated with technical domains like computer science and data science, poses challenges for non-technical professionals such as public health researchers. To bridge this gap, we introduce I-DAIR CODEX, a no-code platform designed for end-to-end predictive analytics using AI/ML tools tailored specifically for public health researchers.

OBJECTIVE

In this paper, we describe the development process of building the I-DAIR CODEX for data analysis, machine learning, and predictive modelling for public health researchers.

METHODS

We actively engaged end users from the African Population and Health Research Center through a co-creation approach to iteratively define key feature requirements for the I-DAIR CODEX platform. We employed Agile software development methods in the platform's design and development.

RESULTS

Application of the I-DAIR CODEX platform demonstrated a substantial reduction in the time required for end-to-end predictive analytics tasks. In addition, the user feedback highlighted a high level of acceptance among the public health researchers, with respondents unanimously expressing that the application aligns seamlessly with their research requirements and holds the potential to be highly beneficial in their work. The feedback also emphasized the platform's user-friendly interface and the ease of task execution.

CONCLUSIONS

To our knowledge, the I-DAIR CODEX is the first no-code platform designed for public health researchers within the African context. The platform is poised to empower public health researchers by facilitating the utilization of ML and AI technologies to extract insights from the data with reduced technical requirements.
A mechanistic trial of the neurobiology of extinction learning and intraparietal sulcus stimulation: Protocol (Preprint)
Authors: Joshi Sonalee , Lin Tao , Balderston Nicholas , Lynch Kevin , Tang Mingcong , Patel Milan , Sun Ivy , Fureman Barbara , Oathes Desmond , Gregory David , Sheline Yvette , Brown Lily
Published: November 2024

BACKGROUND

Post-traumatic stress disorder (PTSD) is associated with deficits in extinction learning following trauma exposure. Gold standard treatments, such as prolonged exposure therapy, have been shown to improve extinction learning. However, these treatments are only effective in approximately 40-60% of patients, and further research is needed to increase their efficacy. While a degree of arousal is necessary during extinction learning, excessive arousal (i.e., over-engagement) may prohibit learning. The intraparietal sulcus (IPS) has been implicated as a neural region implicated in mediating arousal. Prior studies have examined the impact of prefrontal transcranial magnetic stimulation (TMS) on PTSD symptoms, but no prior studies have targeted the IPS with continuous theta burst stimulation (cTBS). This is the first study to examine the effect of IPS stimulation on extinction learning in individuals with PTSD.

OBJECTIVE

This study aims to 1) evaluate the impact of IPS cTBS on anxiety potentiated startle (APS) among patients with PTSD compared to sham IPS cTBS, 2) examine whether IPS cTBS improves extinction learning relative to neutral learning, and 3) identify the ideal dose of cTBS.

METHODS

Adult participants with PTSD will be recruited to complete six separate visits including clinical interviews, functional magnetic resonance imaging (fMRI), and cTBS. Participants will undergo a diagnostic interview for PTSD, suicide risk, and other possible comorbidities and complete self-report measures of PTSD symptoms. They will generate scripts of a traumatic and neutral event included in a script-driven imagery task and report their negative expectancy for listening to the trauma script (Visit 1). Participants will complete a baseline fMRI scan including behavioral tasks (Visit 2) and receive active or sham cTBS to the IPS and complete the script driven imagery task to either the neutral or trauma script (counterbalanced; Visit 3). Twenty-four hours later, they will complete another fMRI visit (Visit 4). Thirty days later, participants will complete two additional visits identical to Visit 3 & 4 with the script presented that they did not hear on the earlier visits (Visits 5 & 6).

RESULTS

Preliminary study activities such as IRB approval, training of study personnel, and development of study procedures began in January 2024. Recruitment began in April 2024; we anticipate completing recruitment by April 2028. Ethical considerations of human participants outlined in this protocol are approved by the IRB of the University of Pennsylvania (Protocol Number: 849571).

CONCLUSIONS

This will be the first study to evaluate the synergistic effects of extinction training with IPS cTBS in individuals with PTSD. Our findings will strengthen the neurobiological basis of augmenting extinction training with IPS cTBS.
Predicting factors of heart arrhythmia in patients with permanent heart pacemaker (Preprint)
Authors: Vu Tri Thanh , Le Duy Lac , Nguyen Vo Minh Hoang
Published: November 2024

BACKGROUND

This study investigates factors predicting arrhythmia after permanent pacemaker placement for atrioventricular block and sinus node dysfunction. Pacemakers are essential in managing arrhythmias, and continuous monitoring helps detect significant arrhythmias post-implantation. Identifying predictive factors aids in optimizing treatment and ensuring long-term pacemaker efficacy.

OBJECTIVE

Identify some factors predicting arrhythmia after permanent pacemaker placement to treat atrioventricular block and sinus node dysfunction

METHODS

Prospective study in 312 patients with permanent pacemakers due to atrioventricular block and sinus node dysfunction being monitored at Thong Nhat Hospital and Thu Duc city hospital from March 2022 to September 2022

RESULTS

The rate of arrhythmia after pacemaker insertion was 41%, of which 20.2% atrial fibrillation; 10.9% atrial tachycardia; 1.3% sinus arrest; 9.9% ventricular premature beats; 1.3% ventricular tachycardia and 2.2% supraventricular tachycardia. Factors that determine the possibility of arrhythmia after permanent pacemaker placement include ejection fraction index, blood potassium, blood chloride, blood HDL-Cholesterol concentration, smoking and pacemaker mode (VVIR). /DDDR).

CONCLUSIONS

Cardiac arrhythmia in patients with permanent pacemakers is always likely to occur, related factors predict 57.8% of the possibility of this event occurring.

INTERNATIONAL REGISTERED REPORT

RR2-https://doi.org/10.1101/2024.11.07.24316937
The Future Patient Telerehabilitation Program for Patients with Atrial Fibrillation: A Qualitative Study of Patients’ Perspectives (Preprint)
Authors: Joensen Elisabet Dortea Ragnvaldsdóttir , Albertsen Andi Eie , Spindler Helle , Jensen Katja Møller , Frost Lars , Dittmann Lars , Gunasegarama Mathushan , Johnsen Søren Paaske , Jochumsen Mads Rovsing , Svenstrup Dorthe , Dinesen Birthe
Published: November 2024

BACKGROUND

Atrial fibrillation (AF) is a prevalent chronic condition with increasing incidence worldwide. AF increases the risks of stroke, heart failure, and myocardial infarction and imposes a substantial burden on the healthcare system. Cardiac rehabilitation programs, while effective, often suffer from low patient adherence. Recent evidence suggests that cardiac telerehabilitation, where patients are given home monitoring devices, could enhance adherence and outcomes. The program ‘Future Patient – Telerehabilitation of patients with AF’ (FP-AF) was created to assess the effects and potential benefits of cardiac telerehabilitation on AF patients. This study explores patient experiences with the FP-AF program.

OBJECTIVE

To explore the experiences of patients participating in the FP-AF program.

METHODS

This qualitative sub-study is part of the multicenter, randomized controlled FP-AF trial, which included 208 patients. Semi-structured interviews were conducted on 14 patients, randomly selected from participants in the intervention arm of the FP-AF program. The patient interviews, guided by self-determination theory, focused on patients' experiences with the FP-AF program, including the use of telerehabilitation technologies and an interactive web portal called the ‘HeartPortal’. Interview responses were analyzed using NVivo software, with thematic coding based on interview guides and methodological guidance elaborated by Brinkmann & Kvale. The study adhered to ethical guidelines, with informed consent obtained from all participants.

RESULTS

Based on the interviews, the following themes were identified: The home monitoring devices are viewed positively by the patients, the HeartPortal is a useful digital toolbox, patients develop new coping strategies for living with AF, the measured values are useful for the patients, the community of practice is beneficial, the FP-AF program creates a sense of security.

CONCLUSIONS

Patients’ participation in the FP-AF program enhanced their sense of security, empowerment, and knowledge about AF. This improvement was largely due to a combination of patients’ use of the HeartPortal and the educational sessions held at the healthcare centers. Telerehabilitation for patients with AF has the potential to be an effective means of offering rehabilitation to this group in the future.

CLINICALTRIAL

The FP-AF study is listed in ClinicalTrials.gov (NCT06101485)

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/64259
Sản xuất phân trùn quế từ chất thải hữu cơ và đánh giá hiệu quả ứng dụng trong canh tác một số loại rau ăn lá trên nền đất phèn
Authors: Nguyễn Thị Bạch Kim , Phạm Văn Trọng Tính , Phạm Văn Trình , Nguyễn Văn Ý , Trần Thanh Sang , Lê Trần Thanh Liêm
Published: November 2024

Nghiên cứu được thực hiện nhằm mục tiêu đánh giá mức độ ảnh hưởng của mật độ trùn, tỷ lệ phối trộn chất thải hữu cơ làm thức ăn cho trùn đến chất lượng phân trùn (PT); ảnh hưởng của PT đến sự sinh trưởng và phát triển của một số loại rau ăn lá (rau muống-RM, cải xanh-CX, cải ngọt-CN); khả năng cải tạo đất phèn trong canh tác của PT. Đối với mật độ nuôi, hàm lượng C, N, P và K tổng số giữa các nghiệm thức lần lượt dao động trong khoảng 38,20-49,45%; 2,02-2,27%; 2,02-4,14% và 0,36-1,65%. Về tỉ lệ phối trộn thức ăn, kết quả phân tích C, N, P và K tổng số giữa các nghiệm thức lần lượt biến động từ 30,40-34,55%; 2,14-2,23%; 4,38-4,85% và 0,98-1,46%. Việc sử dụng PT trong canh tác RM, CX và CN đã giúp cải thiện sự sinh trưởng của cây, năng suất tổng lần lượt đạt 1,52-1,60 kg/m2; 1,52-1,60 kg/m2 và 0,98-1,10 kg/m2 cao hơn đáng kể so với không bón phân, nhưng vẫn thấp hơn so với bón phân hoá học. Fe2+ và Al3+ trong đất giảm đáng kể sau khi trồng rau bằng PT.
Ảnh hưởng của vi sóng và sóng siêu âm đến hiệu quả trích ly chất xơ từ vỏ xoài cát chu (Mangifera indica L.) bằng công nghệ enzyme
Authors: Trần Chí Nhân , Kiều Minh Vương , Lê Uyển Nhi , Lưu Thái Danh , Nguyễn Bảo Lộc , Nguyễn Nhật Minh Phương
Published: November 2024

Một lượng lớn vỏ loại bỏ khỏi quy trình sản xuất các sản phẩm từ xoài gây ô nhiễm môi trường khi không được xử lý hợp lý. Nghiên cứu này nhằm phân tích thành phần, đặc tính nguyên liệu và thu nhận chất xơ bằng trích ly hỗ trợ enzyme tích hợp vi sóng (MEAE: 100÷500 W, 30÷90 giây) hoặc sóng siêu âm (UEAE: 100÷220 W, 15 phút). Kết quả cho thấy vỏ xoài Cát Chu chủ yếu là carbohydrate (74,13±0,47%), trong đó có 37,22±1,61% chất xơ tổng số (TDF), 11,64±1,34% chất xơ hòa tan (SDF) và 25,55±0,78% chất xơ không hòa tan (IDF). Nguyên liệu giữ nước và dầu tương đối tốt (7,55±0,07 và 1,64±0,08 g/g) nhưng khó tan (43,10±0,85%) và trương nở (2,50±0,01 mL/g). MEAE ở 300 W trong 90 giây cho hiệu suất thu hồi (18,39±0,32%) và thành phần chất xơ (71,63±1,22% TDF, 65,15±0,51% SDF và 6,48±0,70% IDF) tốt hơn của UEAE ở 150 W trong 15 phút (17,67±0,27% hiệu suất, 64,53±0,39% TDF, 53,34±0,11% SDF và 11,18±0,5% IDF). Như vậy, vỏ xoài Cát Chu là nguồn giàu chất xơ mà MEAE hỗ trợ khai thác hiệu quả.
Các yếu tố ảnh hưởng đến khả năng thích ứng của sinh viên ngành thông tin-thư viện trong tiến trình chuyển đổi số
Authors: Huỳnh Thị Trang , Trần Hân
Published: November 2024

Bài viết trình bày các yếu tố ảnh hưởng đến khả năng thích ứng của sinh viên ngành Thông tin – Thư viện Trường Đại học Cần Thơ trong tiến trình chuyển đổi số. Bằng phương pháp nghiên cứu đinh lượng (khảo sát trực tiếp 150 sinh viên đang theo học tại trường), nghiên cứu xác định được 5 nhóm yếu tố có ảnh hưởng đến khả năng thích ứng của sinh viên. Bên cạnh đó, nghiên cứu còn đưa ra các đề xuất thiết thực giúp nâng cao khả năng thích ứng của sinh viên trong tiến trình chuyển đổi số nhằm giúp sinh viên đạt được hiệu quả cao hơn trong học tập. Hơn thế nữa, kết quả nghiên cứu còn là tiền đề cho các nghiên cứu tiếp theo để từng bước thực hiện mục tiêu công nghiệp hóa- hiện đại hóa đất nước trong thời kỳ hội nhập.
Ảnh hưởng của quá trình chế biến đến chất lượng sản phẩm mãng cầu muối ớt sấy dẻo
Authors: Tống Thị Ánh Ngọc , Đặng Thị Thu Tâm , Lý Thanh Trúc , Lê Minh Uyên
Published: November 2024

Mãng cầu xiêm (Annona muricata L.) có nhiều giá trị dinh dưỡng tốt cho sức khỏe cũng như hương vị thơm đặc trưng nên được nhiều người ưa chuộng. Việc tận dụng nguồn nguyên liệu mãng cầu xiêm dồi dào trong chế biến sản phẩm mãng cầu sấy dẻo góp phần nâng cao giá trị và đa dạng hóa sản phẩm từ mãng cầu xiêm. Trong nghiên cứu này, quá trình chần, thẩm thấu và sấy sẽ được khảo sát. Kết quả cho thấy mãng cầu chần (hấp) trong 2 phút thì vô hoạt enzyme peroxidase và vitamin C duy trì cao (112,79 mg%). Thêm vào đó, quá trình ngâm mãng cầu trong dung dịch 50% đường, 2 giờ thì đạt hiệu quả về tách nước và yêu cầu về chất lượng. Tiếp theo, mãng cầu được phối trộn với tỷ lệ muối (1%) và bột ớt (0,1%) và được sấy ở 60oC trong 5,5 giờ cho sản phẩm đạt giá trị cảm quan và dinh dưỡng phù hợp. Cụ thể, sản phẩm có độ hoạt động nước (aw) 0,67±0,04, độ ẩm 19,26±0,97%, vitamin C 20,86±1,02 mg% và mức độ ưa thích 6,80±1,16 điểm (trên 9 điểm).
The Process and Current Situation of Islam Localization in Senegal
Authors: Wang Yingqin
Published: November 2024

Islam originated in the Arabian Peninsula and spread to the Maghreb region inhabited by Berbers in the late 7th century and early 8th century, and then spread further to West Africa south of the Sahara from north to south. Around 850 AD, the first group of black Africans converted to Islam. They belonged to the Dya’ogo dynasty of the Tekur Kingdom, which is located in the Senegal River Valley in present-day Senegal. Currently, Senegal is one of the countries with the highest proportion of Muslim population in West Africa, with 94% of its people believing in Islam. Not only that, Senegal has also developed a unique Islamic system dominated by the Brotherhood. This article attempts to sort out the process of Islam localization in Senegal and explain the impact of the Brotherhood on contemporary Senegalese politics and economy.
The Influence of COVID-19 on Antimicrobial-Resistance in Gram-Positive Bacteria at a Private Saudi Hospital: A Five-Year Evaluation
Authors: Alabdullatif Meshari
Published: November 2024

Due to the emergence of antimicrobial-resistance (AR) as a public health threat, the Saudi National Action Plan (SNAP) was implemented in 2017, incorporating various strategies to combat AR. To evaluate the effectiveness of SNAP and the impact of COVID-19, the study analyzed pre- and post-pandemic rates of AR, methicillin-resistant Staphylococcus aureus (MRSA), and multidrug resistance (MDR) among Gram-positive bacteria at a private medical center in Saudi Arabia. This study reviewed the cases of all patients who had been diagnosed with Gram-positive bacterial infection between January 2017 and December 2021. Bacterial strain identification was conducted using VITEK-2 ID-GP cards, while AR, MRSA, and MDR were defined using AST-GP 67 and AST-ST02 cards, all adhering to the manufacturer’s recommended protocols. The five-year study from 2017 to 2021 yielded 6,271 Gram-positive bacteria isolates from patients in a Saudi private hospital. Though the rate of AR initially declined between 2017 and 2019, it spiked significantly from 2020 to 2021. Similarly, the MRSA rate exhibited a substantial decrease (p < 0.05) from 2017 to 2019, followed by a significant rise (p < 0.05) between 2020 and 2021. Out of the isolated pathogens, 1,031 (16.44%) exhibited MDR, with all isolates showing a marked increase (p < 0.05) in MDR from 2020 to 2021. The study highlights the aggravating impact of the COVID-19 pandemic on AR, underscoring the need for the SNAP to intensify its efforts in combating AR.
Green Synthesis of Iron Oxide NPs (IONPs) by Using Aqueous Extract of Parthenium hysterophorus Linnaeus for the In-vitro Antidiabetic and Anti-inflammatory Activities
Authors: Rauf Abdur , Ahmad Zubair , Raisham  , Ibrahim Muhammad , Islam Md. Rezaul , Hemeg Hassan A. , Al-Awthan Yahya S. , Bahattab Omar , Rahman Abdur , Umar Muhammad , Muhammad Naveed
Published: November 2024

The Parthenium hysterophorus Linnaeus is one of the anti-inflammatory and antidiabetic ethnomedicine. Therefore the formulation of this plant as nanoparticles will be fruitful anti-inflammatory and antidiabetic as compared to conventional extract. In the current study, the aqueous kernel extract from Parthenium hysterophorus Linnaeus was subjected to synthesize iron oxide nanoparticles (IONPs) and explored their anti-inflammatory and anti-diabetic potentials. The results indicate that the aqueous kernel extract effectively produced IONPs, which were verified using standard analytical methods. UV-visible spectrophotometer analysis was used to check the formation of IONPs. The Fourier-transform infrared spectroscopy (FTIR) was used to check numerous functional groups from the valuable phytochemicals present in the extract. These functional groups play crucial roles as reducing, capping, and stabilizing agents during the synthesis of IONPs. Additionally, scanning electron microscopy (SEM) were utilized to investigate the surface characteristics of the nanoparticles. Notably, the IONPs fabricated from the extract demonstrated promising anti-inflammatory activity, inhibiting Human RBC by 79% and Heat Induced Hemolysis by 72%, as well as showing anti-diabetic potential with 60% inhibition of yeast glucose uptake and 72% inhibition of α-amylase activity, all at a concentration of 100 μg mL-1. These effects were partly comparable to standard drugs with anti-inflammatory activity of 85% inhibition of Human RBC and 78% inhibition of Heat Induced Hemolysis, and anti-diabetic activity of 67% inhibition of yeast glucose uptake and 78% inhibition of alpha amylase.
Wound Healing, Cell Viability and Antimicrobial Potency of Mucus from Pangasianodon hypophthalmus
Authors: Gomathy M. , Pappuswamy Manikantan
Published: November 2024

Acute and chronic wounds are the major cause of death according to World Health Organization (WHO), in which, antimicrobial resistance is considered to be a major plight. In this regard, our study is aimed at developing an antimicrobial agent using the mucus of Pangasianodon hypophthalmus against the clinically resistant microbial pathogens and to evaluate the cell cytotoxicity and cell viability followed by an in vitro wound healing analysis. The evaluation of antimicrobial activity was performed through well diffusion method and micro dilution method. The cell cytotoxicity and cell viability were assessed using MTT assay. The cell migration and in vitro wound healing was performed using scratch assay. The acidic extracts of mucus showed antimicrobial activity against the eight different selected bacterial strains while the organic extract showed against seven bacterial strains. L929 showed a cell viability of 102.96% at a concentration of 75 µg/mL and did not show cell toxicity effect up to the concentration of 300 µg/mL. In the in vitro wound healing analysis, the cell migration rate was 99.27% in the treated cells while, the untreated showed only 94.68%. The current research work clearly shows that the mucus of P. hypophthalmus possesses antimicrobial activity and wound healing potency. Furthermore, gene expression analysis and in vivo trials have to be performed for a thorough understanding of the actual cellular mechanism of wound healing.
Gut Microbiome Characterisation of Chrysomya megacephala: Isolation, Identification, Antibiotic Profiling, and Initial Documentation of Leclercia adecarboxylata from the Fly
Authors: Nair Balu M. , Tomson Majesh
Published: November 2024

Chrysomya megacephala, known for its vector potential, harbors a diverse microbiota crucial in understanding disease transmission dynamics. Herein, we report the first documentation of Leclercia adecarboxylata isolated from C. megacephala. L. adecarboxylata is an Enterobacteriaceae, gram-negative bacillus that cause infections in human and animals. Additionally, we have reported the presence of Pseudomonas aeruginosa and Enterococcus faecalis from C. megacepahala. The study carried out the antibiotic profiling and hemolytic assays, which revealed distinct resistance patterns and virulence characteristics, shedding light on potential public health implications. L. adecarboxylata, Pseudomonas aeruginosa and Enterococcus faecalis showed positive result for hemolysis and in terms of antibiotic resistance P. aeruginosa strains showed resistance to Amoxicillin, Ampicillin and Tetracycline while, E. faecalis showed resistance towards Streptomycin and Tetracycline. However, L. adecarboxylata showed sensitivity to all antibiotics. This study was conducted from Kozhikode, Kerala, India, and this is the first of its kind of study from the region to analyse the vector potential of C. megacephala. These findings underscore the significance of comprehensive microbiological investigations in vector-borne disease surveillance and management strategies.
Green Synthesis of Silver Nanoparticles Using Doxycycline: Evaluation of Antimicrobial Potential and Organ-specific Toxicity
Authors: Akhtar Yasmin , Rashid Ayoub , Atif Muhammad , Ullah Sajjad , Shehzadi Kiran , Ijaz Tabinda , Ullah Muhammad Ikram , Alruwaili Muharib , Abdalla Abualgasim Elgaili , Abosalif Khalid , Mazhari Bi Bi Zainab , Ejaz Hasan
Published: November 2024

Silver nanoparticles (Ag-NPs) have wide applicability as antimicrobial, biomedical, and anti-cancer drug delivery systems. This study aimed to synthesize Ag-NPs using green methodology to assess their antimicrobial properties and toxicity. Ag-NPs were prepared using doxycycline, an antibiotic serving as a reducing and capping agent. The synthesized Ag-NPs were characterized by ultraviolet-visible spectrophotometry, X-ray diffraction, scanning electron microscopy, and Fourier-transform infrared spectrometry. The antimicrobial efficacy of doxycycline-mediated Ag-NPs was assessed on Candida species in vitro and for toxicity in male albino mice in vivo. The Ag-NPs showed a surface plasmon resonance at 411 nm, indicating a 90 nm average size and spherical shape. Toxicity was tested on mouse organs (liver, kidney, spleen, heart and stomach) using three Ag-NP doses (50, 100, 200 mg/kg) over 14 days. The synthesized Ag-NPs produced large inhibition zones against two well-known fungal species, C. albicans and C. tropicalis, demonstrating their antimicrobial potential. The Ag-NPs showed varying degrees of toxicity in different mouse organs, depending on the administered dose, with more pronounced adverse effects observed at higher concentrations. Periodic administration of Ag-NPs at low-dose volumes holds promise as a safe approach to their use as antimicrobial agents. Low-dose Ag-NPs are minimally toxic and show strong antimicrobial efficacy.
Anomalous Floquet Phases. A resonance phenomena
Authors: Gómez-León Álvaro
Published: November 2024

Floquet topological phases emerge when systems are periodically driven out-of-equilibrium. They gained attention due to their external control, which allows to simulate a wide variety of static systems by just tuning the external field in the high frequency regime. However, it was soon clear that their relevance goes beyond that, as for lower frequencies, anomalous phases without a static counterpart are present and the bulk-to-boundary correspondence can fail. In this work we discuss the important role of resonances in Floquet phases. For that, we present a method to find analytical solutions when the frequency of the drive matches the band gap, extending the well-known high frequency analysis of Floquet systems. With this formalism, we show that the topology of Floquet phases with resonances can be accurately captured in analytical terms. We also find a bulk-to-boundary correspondence between the number of edge states in finite systems and a set of topological invariants in different frames of reference, which crucially do not explicitly involve the micromotion. To illustrate our results, we periodically drive a SSH chain and a π-flux lattice, showing that our findings remain valid in various two-band systems and in different dimensions. In addition, we notice that the competition between rotating and counter-rotating terms must be carefully treated when the undriven system is a semi-metal. To conclude, we discuss the implications to experimental setups, including the direct detection of anomalous topological phases and the measurement of their invariants.
PERSPECTIVA DE LA PROMOCIÓN DE LA SALUD DESDE LA EVIDENCIA
Authors: Lopez-Andrade Clara Ivonne
Published: November 2024

La Promoción de la Salud es una de las funciones principales de la Salud Pública y por ende, un espacio para desarrollar las responsabilidades del profesional de enfermería en la Atención Primaria. Este preámbulo es motivación para realizar una reflexión acerca del abordaje que tiene la Promoción de la Salud (PS) a partir de tres perspectivas: 1. Convencional, desde la Organización Mundial de la Salud. 2. De empoderamiento, indicada por el Ministerio de Salud de Chile. 3. Emancipadora, según la teoría de Salud Colectiva.
Este ejercicio de reflexión tuvo como materia prima, la evidencia científica publicada en la Revista Benessere desde su primer volumen (2016) hasta el último del año 2023. Planteándose como ejes de análisis, diez criterios que competen a la PS, determinando la magnitud de contenidos en los artículos revisados y concluyendo que un camino posible para la enfermería es a través de un diálogo simétrico de saberes, para así lograr una autonomía armónica en las personas, familias y comunidades.
Faktor-Faktor yang Berhubungan dengan Kejadian Kecelakaan Lalu Lintas pada Pengendara Sepeda Motor di Daerah Mimika, Papua, Tahun 2022
Authors: Indasari Riska , Ayu Ira Marti , Situngkir Decy , Nitami Mayumi
Published: November 2024

The most traffic accidents in the Mimika Resort Papua Region in 2020-2022 were for motorbike users compared to cars. Accident data from the Mimika Resort Papua Regional Traffic Unit found 124 traffic accidents in 2020, 137 incidents in 2021, and 169 incidents in 2022. This research aims to determine the factors related to traffic accidents among motorbike drivers in Papua Mimika Resort in 2022. This research was conducted in December 2022-August 2023. This research used an analytical cross-sectional design with a sample size of 152 motorbike drivers. Sampling used simple random sampling. The independent variables are driver condition, health problems, vehicle condition, road conditions, and environmental conditions, and the dependent variable is traffic accidents. Data will be analyzed using univariate and bivariate analysis using the chi-square test. Univariate results showed that the highest proportion was seriously injured victims (42.1%), driver conditions were at risk (86.8%), health problems were at risk (50.7%), vehicle conditions were not at risk (83.6%), road conditions not at risk (57.9%) and environmental conditions are not at risk (87.5%). Bivariate results show that there is a relationship between health problems and the incidence of traffic accidents (PR= 2.59; 95%CI: 1.29-5.21), while the variable that is not related is the condition of the driver (PR= 1.51; 95 %CI: 0.51-4.50), vehicle condition (PR= 1.36;95%CI: 0.66-2.79), road condition (PR= 1.46;95%CI: 0.80 -2.66), and environmental conditions (PR= 0.96; 95%CI: 0.38-2.44). The police should always provide education to the public about the dangers of driving while under the influence of excessive alcohol in traffic accidents.