bluuebunny/crossref_metadata_2025 huggingface dataset:
S’installer dans les îles polynésiennes périphériques : la place de l’insularité dans le projet migratoire et la vie quotidienne. Le cas des îles de Bora Bora, Raiatea et Tahaa (Polynésie française)
Authors: Blondy Caroline , Cognard Françoise , Rufin-Soler Caroline
Published: February 2025

Bora Bora, Raiatea et Tahaa sont trois îles situées en Polynésie française dans les Îles‑Sous-le-Vent, en périphérie du centre tahitien. Elles accueillent des néo‑résidents à la fois venus d’autres îles polynésiennes et de l’extérieur du territoire (essentiellement de France métropolitaine*). Grâce à une méthodologie croisant analyse statistique détaillée du recensement de la population et entretiens qualitatifs menés auprès de ces néo-résidents, cet article dresse leur profil et détermine le rôle de l’insularité dans leurs stratégies migratoires et leur vie quotidienne. Il montre que ces néo‑résidents semblent davantage s’installer pour des raisons économiques et familiales que pour répondre à un « désir d’île », ce qui permet notamment de relativiser l’effet du « mythe polynésien ». Une fois sur place, la vie insulaire apparaît globalement appréciée par les néo-résidents, ce qui ne les empêche pas de souligner la présence de certaines contraintes, dont une partie est néanmoins mieux vécue aujourd’hui grâce aux outils de communication numérique.*. Dans le langage courant les Polynésiens parlent indifféremment de « France », de « Métropole » voire de « France métropolitaine ». Dans un contexte post-colonial, certains chercheurs ont néanmoins questionné ce terme [Gay, 2021 ; Saura 2021], proposant par exemple de parler d’« Hexagone ». Nous privilégierons ce terme, mais pourrons utiliser les autres appellations par souci d’éviter les répétitions.
What They Should Know, But Won't Ask
Authors: Tyler Kenneth , El-Amin Abeni
Published: February 2025

With a national, politicized effort to eliminate diversity, equity, and inclusion efforts throughout state-funded postsecondary educational institutions, Black students, Black scholars, and Black community members are placed at even significantly higher risk of exposure to racist and colonialist attitudes, dispositions, and corresponding behaviors and activities, particularly among those claiming allyship to and seeking to learn from and assist Black communities. This chapter offers an acronym that can be used to help minimize racist microaggressions imposed on Black community members, particularly by reminding academics, allies, and status quo agitators of important conceptual and lived factors that remain salient throughout their exchanges and interactions with this population.
Enhancing Production Efficiency and Sustainability Through Smart Manufacturing
Authors: Rath Kali Charan , Panda Lakshmi Prasad , Rath Subhendu Kumar , Khadanga Shakti Prasanna , Olasoji Olubiyi Timilehin
Published: February 2025

This chapter presents a comprehensive framework aimed at bolstering production efficiency and sustainability by implementing smart manufacturing technologies. The objective of this chapter is to address the contemporary challenges faced by industrial sectors by leveraging cutting-edge automation, data analysis, Robotics, Artificial Intelligence (AI) technology and Internet of Things (IoT) solutions to optimize processes, minimize resource wastage, and provide a good supply chain management system. The scope of this study encompasses various facets of smart manufacturing, including predictive maintenance, real-time monitoring, and adaptive control systems, with a focus on enhancing productivity while concurrently fostering ecological sustainability. The novelty lies in the integration of advanced technology and automation systems to create an intelligent manufacturing ecosystem capable of dynamic adaptation to changing conditions, thereby paving the way for a more efficient and environmentally friendly industrial landscape.
Framework for Sustainable Supply Chain Management Implementation in Malaysia
Authors: Shukor Syaimak Abdul , Nashir Amni Husna Mohd
Published: February 2025

Sustainable supply chain management (SSCM) is becoming increasingly prominent across various industries. However, the existing standards for SSCM assessment exhibit significant variation. While sustainability initiatives often prioritise either cost minimisation or environmental stewardship, few studies comprehensively address all three dimensions of sustainability—environmental, economic, and social—simultaneously. This research aims to develop a framework encompassing these three essential dimensions for practical sustainability assessment. Utilising the Delphi technique, this study engaged seven experts from academia and industry with expertise in sustainability and SCM. The study identified six indicators and nineteen sub-indicators through rigorous analysis crucial for evaluating sustainability across strategic, tactical, and operational decision-making stages. This research identifies key sustainability indicators and presents a holistic framework, providing organisations with a comprehensive guideline for integrating sustainable practices within their supply chain operations.
The Development of Sustainable Procurement
Authors: Khoiriyah Umi , Restuputri Dian Palupi , Masudin Ilyas
Published: February 2025

The purpose of this writing is to provide a brief bibliometric overview of previous literature reviews in understanding the implementation of the development of sustainable procurement management. In recent years, the topic of development of sustainable procurement management has become important and attracted the attention of academics and practitioners in various sectors. The method used is a structured literature review with a sample of 156 articles from 2013-2023 using keywords “sustainable procurement,” “procurement management,” and “e-procurement.” The authors used Publish or Perish and Vosviewer to identify journals, authors, citations, keywords, and hierarchical word maps. This bibliometric review is beneficial for researchers and practitioners in the field, particularly related to the development of sustainable procurement management.
Uncapping Ultimate Machine Learning for Advanced Manufacturing Optimization
Authors: Singh Bhupinder , Kaunert Christian , Jermsittiparsert Kittisak , Chandra Saurabh
Published: February 2025

The disruptive impact of Machine Learning presents an opportunity to rethink the optimization of industrial processes, especially in the complex supply chain. The need to reduce environmental effect is driving a paradigm change in the industrial sector towards sustainability. The world struggles associated with sustainable development, the manufacturing industry is leading the charge in pursuing efficiency and environmentally responsible methods. The revolutionary potential of the machine learning to revolutionize factory optimization especially in the supply chain is examined. This chapter focuses on the understanding of current challenges in manufacturing optimization for sustainability; explore the fundamentals of Machine Learning and it's application to manufacturing; analyze diverse aspects and examples of Machine Learning in supply chain optimization; discuss the potential impact of Machine Learning on sustainability within the manufacturing sector while reducing its environmental impact and advancing global sustainability.
Criminal Justice System in the Age of Artificial Intelligence
Authors: Wani Showkat Ahmad , Mansoor Sheikh Inam Ul
Published: February 2025

AI biases can induce existing imbalances and affect the most affected populations more severely. The study underlines the need to introduce the imperative of transparency and explainability of AI systems. The fact that many algorithmic systems are correspondence opaque raises questions about how such decisions are made and who is accountable when using artificial intelligence, which leads to wrongful arrest or unfair sentencing. The research calls for effective legislative frameworks that would protect constitutional entitlement due to the widespread use of AI systems. The criminal justice system can effectively embrace AI and avoid the risk of infringing individual rights to make technology serve justice rather than inimical or detrimental to justice and basic human rights.
Role of Artificial Intelligence in Modernizing and Transforming the Judicial Systems and the International Court of Justice
Authors: Lal Sahil , Singh Bhupinder , Arora Manmeet Kaur , Kaunert Christian , Raghav Anjali
Published: February 2025

With the potential to transform judicial bodies from the courts to the ICJ, AI promises greater efficiency, accessibility, and equity in justice. This study examines how AI is revolutionizing judicial practices, focusing on its impact on case management, legal research, and decision-making. It emphasizes the extrapolated advantages these AI technologies can confer, allowing for predictive analytics and natural language processing, streamlining practices, and increasing accessibility through which various populations may benefit from the justice system. The adoption of AI brings with it ethical dilemmas that need to be addressed, such as algorithmic bias, transparency in the process of decision-making, and the requirement for human intervention. The complexities of this moment demand careful navigation, as this work towards a future where that technology no longer hampers justice but bolsters global judicial systems.
Role of Digital Marketing Tactics in Enhancing Financial Performance in E-Commerce Enterprises
Authors: S. R. Lakshmi , Manasa N.
Published: February 2025

In recent years, the exponential growth of e-commerce has revolutionized how businesses operate and interact with consumers. This surge in online shopping has been accompanied by a parallel rise in digital marketing strategies employed by e-commerce companies to attract, engage, and retain customers. Digital marketing encompasses various techniques, including search engine optimization (SEO), social media marketing, content marketing, email marketing, and pay-per-click advertising. The effectiveness of these strategies in enhancing a company's financial performance has become a subject of significant interest and scrutiny. Companies can boost their bottom line and achieve greater profitability by reducing customer acquisition costs, increasing customer lifetime value, and improving overall marketing efficiency. E-commerce businesses could better reach their target audience on these channels by increasing their brand visibility and reach and driving traffic to their websites.
Trends of Artificial Intelligence in Human Resources Management Using Bibliometric Analysis
Authors: Ng Wei Chien , Ravesangar Kamalesh , Toh Guat Guan , Soong Yu Qing
Published: February 2025

Human resource management (HRM) is essential in organizations, as employees drive productivity and growth. To improve HRM, many practitioners are implementing artificial intelligence (AI). This chapter explores AI's significant impact on HRM through a bibliometric and visualization analysis of 676 research articles from the Scopus database, covering studies from 1991 to September 2024. Key areas examined include leading authors, countries, institutions, journals, and research themes using VOSviewer. Findings reveal China, the United States, and India as top contributors, with Human Resource Management Review publishing the highest number of articles (10) and Aston University having the most contributions (15). No single author dominated, with a maximum of six articles published by one individual. This study also suggests future research directions, offering valuable insights for researchers and organizational leaders to leverage AI for enhanced HRM practices.
Revolutionizing Crime Investigation
Authors: Singh Nituja , Khan Mumtaz Zabeen , Kaur Balwinder , Mishra Ajitabh
Published: February 2025

As law enforcement agencies face increasingly intricate criminal cases, the incorporation of deep learning presents remarkable capabilities in data analysis, pattern recognition, and predictive modeling. This chapter commences by delineating the core principles of deep learning and its unique benefits compared to traditional forensic methods, particularly its proficiency in efficiently processing extensive datasets. The discourse further explores various applications of deep learning within forensic science, such as digital forensics, biometric identification, and crime scene reconstruction. By utilizing convolutional neural networks (CNNs) and other sophisticated algorithms, investigators can improve image analysis, automate the classification of evidence, and enhance the reliability of eyewitness identifications. Additionally, the chapter examines the challenges linked to the adoption of these technologies, including concerns regarding data privacy and algorithmic bias.
Práticas historiográficas apoiadas nos objetos digitais
Authors: Gregorio Janine Marques da Costa , Costa David Antonio da , Maciel Viviane Barros
Published: February 2025

O presente artigo tem como objetivo evidenciar e analisar novas práticas nas pesquisas históricas, as quais privilegiam a transformação de documentos físicos escritos em objetos digitais. Esta discussão toma como base a História digital, que reflete sobre a incorporação das tecnologias digitais e que emerge como referencial teórico para investigar e compreender arquivos e fontes digitais como registros históricos. Evidenciam-se os espaços de armazenamento de objetos digitais, caracterizados como repositórios digitais, os quais se constituem ambientes próprios para a guarda dos documentos. Apresenta-se, como exemplo, o Livro de Ramon Roca Dordal, disponível no Repositório de Conteúdo Digital da Universidade Federal de Santa Catarina. É possível inferir que o objeto digital está disponível em um local confiável que privilegia a disponibilização de fontes a longo prazo, visto que traços das etapas da curadoria digital e do trabalho com as fontes digitais se tornam possíveis também por meio de softwares como Zotero e Tropy.
Novel therapeutic approach for loxoscelism: efficacy of cefixime and netilmicin sulfate combination therapy
Authors: Giorgio Caterina Mariarosaria , Licata Gaetano , Tancredi Vittorio , Franzese Paolino , Giorgio Nicola Maria , Argenziano Giuseppe , Di Brizzi Eugenia Veronica
Published: February 2025

Dear Editor,
Loxoscelism, caused by bites from Loxosceles spiders, notably Loxosceles reclusa, presents with necrotic skin lesions and, in severe cases, systemic symptoms such as hemolysis, acute renal failure, and disseminated intravascular coagulation (DIC). The venom’s sphingomyelinase D (SMD) enzyme induces direct tissue damage and an inflammatory response, leading to cell death, dermal necrosis, and increased vascular permeability, which can result in hemolysis and thrombosis. [...]
Leukemia cutis in a patient with acute myeloid leukemia undergoing Azacitidine-Venetoclax: case presentation and review of the literature
Authors: Buzzatti Elisa , Mauro Cristina , Botti Caterina , Presicci Roberta , Paterno Giovangiacinto , Palmieri Raffaele , Gurnari Carmelo , Mallegni Flavia , Meddi Elisa , Moretti Federico , Cardillo Lucia , Mezzanotte Valeria , Taka Kristian , De Marchi Lucrezia , Maurillo Luca , Buccisano Francesco , Venditti Adriano , Del Principe Maria Ilaria
Published: February 2025

Leukemia cutis (LC) is a rare extramedullary localization of acute myeloid leukemia (AML). LC management generally relies on AML treatment, namely intensive chemotherapy (IC). In frail patients with LC, viable options are hypomethylating agents (HMA) associated with Venetoclax, but literature about their use is scarce. Here, we report our experience and a short review of the previous cases of LC treated with HMA plus Venetoclax to underline the efficacy of such treatment in LC patients unsuitable for IC.
Factors associated with accuracy of rapid HIV test performance in the Eastern Cape, South Africa
Authors: Mohlala Amanda A. , Phalane Edith , Siyamayambo Claris , Jaiteh Musa , Phaswana-Mafuya Refilwe N.
Published: February 2025

Background: Testing for HIV using rapid test devices assists in determining HIV status and ascertains if treatment is required. Rapid HIV quality assurance (QA) training is conducted to ensure accuracy of test results in non-laboratory settings.Objectives: This study aimed to determine the factors associated with the accuracy of rapid HIV testing among primary healthcare (PHC) workers who received HIV testing QA training in the Eastern Cape, South Africa.Method: A cross-sectional analytical study design was used to purposively recruit 167 PHC workers with prior training on HIV testing QA. Data were collected in 2022 using a self-administered questionnaire. STATA version 17.0 was used for data analysis.Results: Tester accuracy measured by a proficiency testing (PT) score of greater than 80% was achieved among 64.7% of the testers. Comprehensive HIV QA training was significantly associated with a PT score of greater than 80% (P = 0.001). On multivariable analyses, a PT score of greater than 80% was less likely with rural facilities (adjusted odd ratios [aOR] = 0.56, 95% confidence interval [CI]: 0.36–0.92, P = 0.020), Grade 12 education (aOR = 0.40, 95% CI: 0.19–0.85, P = 0.017), mentorship (aOR = 0.55, 95% CI: 0.35–0.85, P = 0.008), and attitudes towards inaccurate HIV results (aOR = 0.13, 95% CI: 0.02–0.82, P = 0.03); while implementation of QA processes (aOR = 3.94, 95% CI: 1.22–12.74, P = 0.022) and elements of QA in the HIV Testing Services register (aOR = 4.93, 95% CI: 1.45–16.74, P = 0.011) were associated with a PT score of greater than 80%.Conclusion: Exposure to comprehensive rapid HIV QA training were associated with higher tester accuracy. A framework for QA training is required for standardisation of training in the country.
Hypolipidemic Activity of Medicinal Plants: An Overview
Authors: Eqbal Khalid , Alam Md. Anzar , Asjad Mohd. , Khan Asim Ali , Akram Mohd.
Published: February 2025

Dyslipidemia, characterized by abnormal lipid levels in the bloodstream, is a significant risk factor for cardiovascular diseases and metabolic disorders. In recent years, there has been growing interest in harnessing the therapeutic potential of medicinal plants to mitigate dyslipidemia and its associated health risks. Numerous studies have explored the potential of medicinal plants such as guggul (Commiphora wightii (Arn.) Bhandari), fenugreek (Trigonella foenum-graecum L.), garlic (Allium sativum L.), turmeric (Curcuma longa L.), and green tea (Camellia sinensis (L.) Kuntze in managing dyslipidemia. These plants contain bioactive compounds such as guggul sterones, trigonelline, allicin, curcumin, and catechins, which have shown promising lipid-lowering properties. The mechanisms underlying the antidyslipidemic effects of these medicinal plants involve the modulation of lipid metabolism pathways. They can reduce total cholesterol, low-density lipoprotein cholesterol, and triglyceride levels while increasing high-density lipoprotein cholesterol concentrations. Moreover, they may exert antioxidant and anti-inflammatory effects, contributing to their overall cardioprotective properties. Medicinal plants have demonstrated significant antidyslipidemic potential, offering a natural and complementary approach to managing dyslipidemia. Further research is warranted to elucidate the specific mechanisms of action, optimal dosages, and long-term safety of these herbal interventions. Integrating medicinal plants into a balanced diet and lifestyle may hold promise for individuals seeking alternative strategies to improve lipid profiles and reduce the risk of cardiovascular diseases and related metabolic disorders. This article provides an overview of the antidyslipidemic effects of various medicinal plants and their bioactive compounds.
Physicochemical Characterization of Kushta Hajrul yahood (Calx of Lapis judaicus) Commonly Used for the Management of Urolithiasis
Authors: Makbul Shaikh Ajij Ahmed , Jahan Nasreen
Published: February 2025

Aims and Objective:

To standardize and characterize the Kushta Hajrul yahood for its various physico-chemical parameters.

Materials and Methods:

The preparation of Kushta requires heat treatment with herbal constituents and calcination steps aimed at converting the raw material to a suitable therapeutic form. Kushta Hajrul yahood was prepared by standard method as mentioned in Unani literature. It was subjected to different physico-chemical tests (pH, ash value, bulk density, tapped density etc.) to establish that final product is upto the mark. Further it was tested for its purity, quality and characterization by using XRD, FTIR, and SEM-EDAX.

Results:

Kushta Hajrul yahood was found to be khaki in colour with no odour and taste, smooth and lustreless with alkaline pH. The chemical analysis showed the presence of Cao, MgO, SiO2, Al2O3, Fe2O3, P, Zn. The morphology of kushta by XRD showed crystalline form with strongest peak of calcium as final product. The absence of organic compound authenticated that Kushta is successfully prepared. Heavy metals were found within permissible limits.

Conclusion:

Results from this study may be used as a future reference for standardization and characterization of herbo-mineral formulation.
Proposed Algorithm for the Diagnosis and Management of Diabetic Gastroparesis in the Indian Clinical Setting
Authors: Prasad Mohan V. G. , Pratap Nitesh , Zargar Showkat , Shankar Ravi B. , Jalihal Umesh , Venugopal Raj V.
Published: February 2025

Diabetic gastroparesis (DGP) is a microvascular complication of diabetes, characterised by delayed gastric emptying and cardinal symptoms such as nausea, vomiting, early satiety, post-meal discomfort, bloating, and appetite loss. Diagnosis relies on identifying these symptoms and excluding obstructions. India-specific DGP management algorithm was developed by 50 expert gastroenterologists across India. It offers a systematic approach tailored to Indian clinical settings, emphasising a comprehensive evaluation encompassing medical history, clinical examination, and laboratory investigations for diagnosing DGP. The management strategy involves glycemic control, dietary adjustments, prokinetics with antiemetics, and stepwise treatment modification if initial approaches prove ineffective. Additionally, the algorithm underscores the significance of endoscopic evaluation and gastric emptying studies in DGP diagnosis, as well as the use of prokinetics, antiemetics, and neuromodulators in treatment. Notably, the experts favoured itopride as the preferred and relatively safer prokinetic for treating DGP and its varied clinical presentations.
Development and validation of educational competencies Required for anesthesia technologists: A developmental study
Authors: Maroufi Shahnam Sedigh , Bagheri Neda , Majd Parisa Moradi , Saei Azam , Abolghasemi Jamileh
Published: February 2025

BACKGROUND:

Competency-based approach is the dominant approach in curriculum planning. Despite the use of the competency approach in other fields related to the healthcare system in various countries and also in some fields in Iran, the undergraduate curriculum of Anesthesia Technology in Iran is predominantly presented traditionally (goal-oriented). Since obtaining competency for Anesthesia Technologists is important, this study aimed to determine the required educational competencies for them.

MATERIALS AND METHODS:

This quantitative developmental study was conducted in 2022–2023 in three general stages: determining competencies through literature reviews, conducting a group session with experts in the field of anesthesia and developing an initial questionnaire, and then examining the validity and reliability of the initial questionnaire by experts and finalizing the competencies. The validity of the questionnaire was assessed using CVR and CVI, and the reliability was calculated through Intra-class Correlation Coefficient (ICC) and Cronbach’s alpha.

RESULTS:

61 competencies were classified into five domains: “ethics and professionalism,” “collaboration and communication,” “evidence-based practice and professional learning,” “safety and risk management,” and “technical competencies.” The questionnaire had sufficient face and content validity, and its reliability was calculated using an ICC of 0.997 and Cronbach’s alpha of 0.992.

DISCUSSION:

Developing a competency-based curriculum is feasible by developing a competency framework, and this study is the first step towards creating a competency-based curriculum by developing a reliable and valid competency framework.
Effectiveness of a group intervention based on cognitive–behavioral approach on the levels of ambiguity tolerance, distress tolerance, and academic achievement motivation in students
Authors: Nashtban Negar Sharafi , Aghajani Reza , Salehi Somaieh
Published: February 2025

BACKGROUND:

Students who are about to take their final-year college entrance examinations experience considerable worries and psychological stress. Enhancing ambiguity tolerance, distress tolerance, and academic achievement motivation during this period can greatly contribute to their psychological well-being and academic success. The aim of this research was to determine the effectiveness of a group intervention based on a cognitive–behavioral approach on the levels of ambiguity tolerance, distress tolerance, and academic achievement motivation among students in this educational phase.

MATERIALS AND METHODS:

This study is a quasi-experimental research design with a pre-test, post-test design, and a 1-month follow-up with a control group. The population includes all students in District 16 of Tehran. Using convenience sampling, 20 male students from the high in District 16 were selected as the experimental group, and 20 of them were selected as the control group (using G*Power). The research instruments included the Second-Type Ambiguity Tolerance Questionnaire, Distress Tolerance Questionnaire, and Academic Achievement Motivation Questionnaire. Cognitive–behavioral therapy (CBT) sessions were conducted in a group format, following an 8-weekly session plan, with each session lasting 2 hours for the experimental group. Data were analyzed using repeated-measures analysis of variance (ANOVA).

RESULTS:

The results of the repeated-measures ANOVA showed that CBT had a significant effect on increasing ambiguity tolerance, distress tolerance, and academic achievement motivation (P < 0.05), and this effect remained stable during the follow-up stage.

CONCLUSION:

The results indicated that a group intervention based on the cognitive–behavioral approach increased ambiguity tolerance, distress tolerance, and academic achievement motivation in male students in their final year of high school (on the verge of college entrance examination). Therefore, these interventions are recommended for college-bound students to enhance their psychological well-being and academic success.
Effect of early clinical exposure on communication, history-taking, and nursing diagnosis skills: A brief report
Authors: Sarabi Nasrin , Yazdi Fateme , Hamidipour Nasim
Published: February 2025

BACKGROUND:

Clinical education is a key component of the nursing curriculum. Therefore, it is necessary to use new methods to learn basic clinical skills better. This study examines the effect of an early exposure educational program on first-year nursing students’ communication, history-taking, and nursing diagnostic skills.

MATERIALS AND METHODS:

Using a census method, this brief report included all first-year students of the Dezful University of Medical Sciences in two academic semesters in 2023. An early exposure program was implemented for one group of students. In the second semester, both groups’ communication skills, history-taking, and nursing diagnoses were measured in the clinical environment using a checklist. Pearson’s and Spearman’s correlation coefficients were used in this study. Data were analyzed using the IBM SPSS version 16 (IBM Corp., Armonk, NY, USA) with a 95% determination level.

RESULTS:

Communication skills (35.6 ± 4.87, 23.73 ± 2.28), patient history-taking (14.03 ± 1.158, 8.47 ± 1.59), and nursing diagnosis (8.03 ± 1.31, 3.26 ± 1.86) were significantly higher in the intervention group than in the control group. In the intervention group, there was a significant and positive correlation between communication and nursing diagnosis (r = 0.366), communication and history-taking (r = 0.433), and history-taking with nursing diagnosis (r = 0.523).

CONCLUSIONS:

Based on the positive results of this study, nursing managers should provide the possibility of implementing methods, such as early exposure, by creating a suitable platform.
Comparison of the effect of guided visualization technique and cryotherapy on pain intensity during needle insertion into arterial–venous vessels of hemodialysis undergoing patients: A cross-over clinical trial
Authors: Ghazanfari Zahra , Teshnizi Saeed H. , Yousefi Pooneh , Faghih Aref
Published: February 2025

BACKGROUND:

End-stage renal disease patients experience pain during needle insertion each time they undergo vascular access. This pain is the most severe aspect of hemodialysis-related stress. Based on this, this study was conducted with the aim of the effect of guided visualization technique and cryotherapy on the intensity of pain when the needle enters the arterialvenous vessels in patients undergoing hemodialysis.

MATERIALS AND METHODS:

This cross-over clinical trial was conducted on 60 patients undergoing hemodialysis from September to December 2023. Patients were randomly assigned to three independent groups (n = 20 people per group). This study was conducted in three stages, during which each group received guided visualization, cryotherapy, and routine care (control) separately. Pain intensity was measured individually using the numerical rating scale at the end of each interventions. Data analysis was performed using data statistics (Stata) version 14 and Statistical Package for the Social Science version 26.

RESULTS:

The results showed that guided visualization significantly outperformed cryotherapy across all three groups and stages. Additionally, both guided visualization and cryotherapy significantly outperformed the control group in reducing pain following needle insertion in patients undergoing hemodialysis.

CONCLUSION:

Guided visualization can be used as a safe and secure method to reduce pain when the needle enters the arteriovenous fistula in patients undergoing hemodialysis.

TRIAL REGISTRATION NUMBER:

IRCT202308080590. (21/08/2023).
Time management and readiness for self-directed learning among medical undergraduates of a tertiary healthcare institution- A cross-sectional study from Eastern India
Authors: Naik Bijaya Nanda , Rao Rajath , Verma Manisha , Nirala Santosh Kumar , Pandey Sanjay , Singh Chandramani , Ranjan Alok , Manjhi Pramod Kumar
Published: February 2025

BACKGROUND:

“Emphasizing time on task” has been included in the seven principles of undergraduate medical education. Improper time management (TM) leads to frustration, dissatisfaction, anxiety, and depression of not achieving the desired academic performance. This study was planned to examine the relationship between TM, self-directed learning readiness, and academic performance among the medical students of a tertiary healthcare institution.

MATERIALS AND METHODS:

This cross-sectional study was conducted among 295 medical undergraduate students for six months using a standard tool Fisher’s self-directed learning readiness (SDLR) questionnaire for SDL readiness and Britton and Tesser’s TM questionnaire for TM-skills. An SDLR score of ≤150 and a TMQ score of ≤58 were taken as low readiness for SDL and poor TM skill. Descriptive analysis was performed, and a multivariable binary logistic regression analysis was performed to discover the correlation of good TM skills.

RESULTS:

A total of 175[59.3%, 95% CI: 53.6–64.9] had low readiness for SDL, and 216[73.2%, 95% CI: 67.9–77.9] had poor TM skills. Academic scores showed a weak positive correlation (r = 0.2, P = <0.001) with TM scores. Females [adjusted odds ratio (AOR) = 2.9,95% CI: 1.6–5.6], students belonging to rural domicile [AOR = 2.3, 95% CI: 1.1–3.8], and high readiness for SDL [AOR = 4.8, 95% CI: 2.6–8.8] were independent correlates of good TM skills.

CONCLUSION:

Every six and seven out of ten medical undergraduates were found to have low readiness for SDL and poor TM skills, respectively. Emphasizing SDL as a part of professional education and the importance of TM in professional courses such as Medicine and Bachelor of Surgery is important.
Effectiveness of case-based learning in comparison to alternate learning methods on learning competencies and student satisfaction among healthcare professional students: A systematic review
Authors: Varma Beena , Karuveettil Vineetha , Fernandez Ritin , Halcomb Elizabeth , Rolls Kaye , Kumar S Vijay , Aravind M S
Published: February 2025

To evaluate the effectiveness of case-based learning (CBL) versus alternate learning methods on learning competencies and student satisfaction among healthcare students. A systematic search of the PubMed, SCOPUS, CINAHL, and Cochrane CENTRAL databases was conducted from database inception to December 31, 2021. The grey literature, Google Scholar, and hand searching were also conducted. The keywords used were “case-based learning,” “case learning,” “traditional learning,” “problem-based learning,” “simulation-based learning,” “learning competenc*,” “competenc*,” “student satisfaction,” “satisfaction,” “medic*,” “dent*,” “nursing” “pharmac*,” “students,” “undergraduate,” “postgraduate,” and “clerkship.” Only studies comparing CBL methods with a control group or with an alternate learning method conducted on healthcare students were considered. The risk of bias was assessed independently by two reviewers. Data analysis was undertaken using RevMan 5.4. Twenty-two studies were included in the final review, of which 20 studies compared CBL with lecture-based learning (LBL) and two compared CBL with simulation-based learning. Pooled data demonstrated that critical thinking scores were significantly higher among those receiving CBL than those receiving LBL (standardized mean difference (SMD): 0.75, 95% confidence interval (95%CI): 0.21–1.29). Similarly, significantly greater scores for teamwork and communication were identified in the CBL group than in the LBL groups (SMD: 0.24; 95%CI: −0.19–0.66). However, no significant difference in knowledge and comprehension scores (SMD: 0.41; 95%CI: 0.20–0.62) and self-directed learning (SMD: 0.30; 95%CI: 0.10–0.49) was identified among those who received CBL compared to those who received LBL. Based on the results of this review, CBL has been identified as a superior teaching method as it significantly improves critical thinking, problem-solving, teamwork, and communication skills and enhances clinical skills development and student satisfaction. However, more rigorous RCTs are needed to underpin the available evidence.
Self-care and health-related quality of life in Mexican older adults with type 2 diabetes
Authors: Cortés-Hernández María E. , Cano-Estrada Edith A. , Castañeda-Márquez Ana C. , Hurtado-Salgado Erika M. , Aya-Roa Kevin J. , Hernández-Mariano José Á.
Published: February 2025

BACKGROUND:

Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world and represents one of the main risk factors for cardiovascular diseases. The evidence suggests that inadequate self-care behavior among patients with chronic diseases might negatively affect their health-related quality of life (HRQoL); however, the evidence in older adults with diabetes is inconclusive, and the information is scarce in the Mexican context. Therefore, this study aimed to determine self-care behavior and HRQoL in Mexican older adults with T2D and evaluate the association between both variables.

MATERIALS AND METHODS:

An analytical cross-sectional design was used. Participants (n = 300) were recruited at six senior centers in Hidalgo, Mexico. The Self-Care Capacity and Perception Test for Older Adults and the brief version of the World Health Organization Quality of Life Scale (WHOQOL-BREF) were used to assess self-care behavior and HRQoL, respectively. The associations between the variables of interest were evaluated by logistic regression models adjusted for confounders.

RESULTS:

Older adults with inadequate self-care behavior were more likely to have poor HRQoL in all domains of the WHOQOL-BREF: physical health [adjusted odds ratio (aOR) = 4.10; 95% CI = 1.59, 10.57], psychological health (aOR = 6.98; 95% CI = 2.41, 20.19), social relationships (aOR = 7.02; 95% CI = 2.64, 18.67), and environmental health (aOR = 4.25; 95%CI = 1.43, 11.50). Partially adequate self-care behavior also showed a significant association with poor HRQoL.

CONCLUSION:

Self-care behavior was independently associated with HRQoL in Mexican older adults with T2D. Thus, it is important to plan awareness-raising interventions to improve self-care behaviors in older adults with chronic conditions.
Evaluation of psychometric properties of Persian version of Body Compassion Scale: Validation with clinical and nonclinical samples
Authors: Khanjani Sajad , Foroughi Ali-Akbar , Parvizifard Ali Akbar , Soleymani Moghadam Mahboobeh , Rajabi Moslem , Mojtahedzadeh Parya , Altman Jennifer
Published: February 2025

Background:

Body compassion combines the concepts of body image and compassion for oneself. This concept includes the three components of defusion, common humanity, and acceptance. Due to the importance of this concept, this study was conducted to investigate the psychometric properties of the Persian version of the Body Compassion Scale (BCS) in clinical and nonclinical samples.

Materials and Methods:

This research is of correlational type in the field of psychometrics. The statistical population of the clinical sample included patients referred to cosmetic surgery clinics in Tehran in 2019–2020. Accordingly, 379 people were selected using the convenience sampling. They completed the BCS, Body Image Shame Scale, The Levels of Self-Criticism, Appearance Anxiety Inventory, and Body Image Acceptance and Action Questionnaire. The statistical population in the nonclinical sample includes people present in public places (such as public parks and cinemas) and universities in Kermanshah in 2020–2019. Ultimately, 367 people were selected using the convenience sampling method. Participants completed the BCS, External Shame Scale, Self-Compassion Scale, and Body Imaging Psychological Inflexibility Scale. Data were analyzed using LISREL 8.80 and SPSS 24 software.

Results:

The results showed that the three-factor structure of the BCS in both clinical and nonclinical samples has a good fit. Reliability was appropriate by calculating Cronbach’s alpha and the test-retest of scale in clinical and nonclinical samples. Convergent and divergent validity of the scale was also good in both clinical and nonclinical samples.

Conclusion:

The results showed that the Persian version of the BCS has good psychometric properties in both clinical and nonclinical samples. Therefore, this scale can be a valuable instrument in clinical and research work in the Iranian society.
Description of Noise Levels in a Pharmacy Department at a University Hospital
Authors: Béatrix Ilona , Bonnabry Elsa , Thibault Maxime , Atkinson Suzanne , Leroux Tony , Bussières Jean-François
Published: February 2025

Objective: Few data are available regarding noise levels in hospital pharmacies. This study mainly aimed to assess noise levels in different areas and during various activities in the pharmacy department of a tertiary care hospital affiliated with Université de Montréal in Canada and identify potential noise sources. Materials and Methods: This cross-sectional descriptive study was conducted in the pharmacy department of Centre Hospitalier Universitaire (CHU) Sainte-Justine. A convenience sample of 30 sites was established to encompass various activities. Noise levels were measured with a sound level meter for three types of activity: office activities, storage, and drug preparation. Noise measurements were conducted for a 1-day period at each site. Results: The average noise level ranged from 41.9 ± 3.4 dBA to 71.4 ± 0.4 dBA during the day and from 37.5 ± 0.4 dBA to 71.2 ± 0.1 dBA at night. The levels were 50.9 ± 5.6 dBA in offices, 58.0 ± 5.8 dBA in storage areas, and 63.9 ± 9.2 dBA in drug preparation areas. Considering noise distribution by percentile, the L10 ranged from 43.7 to 71.7 dBA, the L50 from 37.8 to 71.3 dBA, and the L90 from 37.2 to 71.1 dBA. Conclusion: Average noise levels varied widely within the pharmacy department of the studied hospital, and a substantial proportion of it could be due to the building’s ventilation system.
Trends, Pattern and Correlates of Perinatal Mortality in India (2005–2021)
Authors: Yadav Jeetendra , Aggarwal Sumit , Gupta Urvashi , Sharma Saurabh
Published: February 2025

Background:

Perinatal mortality (PM) is linked to maternal and neonatal healthcare and the socioeconomic and bio-demographic attributes of the mother and family.

Aim:

This study assesses the trends and risk factors of PM in India from 2005 to 2021.

Materials and Methods:

Analysing the data from three rounds of National Family Health Surveys (NFHS), the study examined socio-demographic and biological predictors of Perinatal for children who died within 7 days of birth after 28 weeks of gestation.

Results:

India’s Perinatal rate (PNMR) declined by 33.3%, from 48 per 1000 live births in NFHS-3–32 per 1000 in NFHS-5. States such as Goa, Andhra Pradesh and Rajasthan showed reductions exceeding 50%, while Uttarakhand, Sikkim and Meghalaya experienced increase in PMR. The key risk factors for PM included advancing maternal age (>28 years, odds ratio [OR] = 2.27), higher birth order (≥3, OR = 1.45) and short birth intervals (<2 years). Protective factors included higher maternal and paternal education, wealthier socioeconomic status and birth intervals of 2–3 years.

Conclusion:

India has witnessed a gradual decline in PNMR over the two decades; however, disparities persist across socio-economic groups and states, with slower declines in empowered action group and north-eastern states. Strengthening maternal and neonatal healthcare, improving the quality of antenatal and intrapartum care and focused efforts to enhance access to quality healthcare services, particularly among vulnerable populations, are essential to achieve the Sustainable Development Goal targets of single-digit PMR by the year 2030.
A Review of Therapeutics for the Treatment of Lupus
Authors: Tyler Creaque C. , Armagon Aireona C. , Garcia Ildebrando E. , Eaton Angie
Published: February 2025

Lupus treatment recently saw the approval of new drugs after a 12-year gap since the last approval of belimumab (Benlysta) in 2011. This article reviews these newly FDA-approved agents, which have demonstrated efficacy and safety in the management of systemic lupus erythematosus and
lupus nephritis, a severe complication of the disease.
Recent Advances in Thermoelectric Materials and Devices: Improving Power Generation Performance
Authors: Okirigiti Momanyi Amos , Kim Cheol Min , Choi Hyejeong , Alluri Nagamalleswara Rao , Park Kwi-Il
Published: February 2025

Thermoelectric materials have been the focus of extensive research interest in recent years due to their potential in clean power generation from waste heat. Their conversion efficiency is primarily reflected by the dimensionless figure of merit, with higher values indicating better performance. There is a pressing need to discover materials that increase output power and improve performance, from the material level to device fabrication. This review provides a comprehensive analysis of recent advancements, such as Bi2Te3-based nanostructures that reduce thermal conductivity while maintaining electrical conductivity, GeTe-based high entropy alloys that utilize multiple elements for improved thermoelectric properties, porous metal-organic frameworks offering tunable structures, and organic/hybrid films that present low-cost, flexible solutions. Innovations in thermoelectric generator designs, such as asymmetrical geometries, segmented modules, and flexible devices, have further contributed to increased efficiency and output power. Together, these developments are paving the way for more effective thermoelectric technologies in sustainable energy generation.
Optimized Process and Mechanical and Electrical Analysis of Polyimide/Pb(Zr,Ti)O3-Based Flexible Piezoelectric Composites
Authors: Lee Junki , Yoon Sang-il , Kim Hyunseung , Jeong Chang Kyu
Published: February 2025

Piezoelectric composites have attracted significant research interest as sustainable power sources for electronic devices due to their high mechanical stability and electrical output characteristics. This study investigated the optimal processing conditions for fabricating a flexible piezoelectric energy harvester based on Pb(Zr,Ti)O₃ (PZT) powder and a polyimide (PI) matrix composite. Various parameters, including the optimal mixing ratio of PI/PZT, ultrasonic treatment, homogenization, vacuum oven, and UV/O₃ treatment, were optimized to achieve a uniform piezoelectric composite. A PZT content of 30 wt% and 20 minutes of homogenization were identified as the most effective conditions for increasing the uniformity of the composite. The optimized composite exhibited a high piezoelectric coefficient, a typical P-E hysteresis loop, and dielectric properties, exhibiting a voltage output that adjusts in response to variations in the applied touch force. This study provides foundational data for the uniform fabrication of flexible piezoelectric energy harvesters and next-generation miniaturized electronic devices.
3D-Printed Stretchable Electrodes Enabled by a Titanium/Acrylamide-Based Hydrogel Nanocomposite
Authors: Choi Se Jin , Lee Han Eol
Published: February 2025

Wearable electronics have been the focus of considerable interest in various fields, such as human-machine interfaces, soft robotics, and medical treatments, due to their flexibility, stretchability, and light weight. To address the shortcomings of existing metal thin film-based wearable devices, stretchable conductive polymers have been developed. In particular, double networking hydrogels are being actively studied as a polymer with a three-dimensional stereoscopic structure that can be patterned. Nonetheless, they have shortcomings such as poor electrical properties and cumbersome manufacturing processes, making it difficult to apply them in electronic devices. Herein, we report 3D-printed stretchable electrodes enabled by a titanium/polyacrylamide-alginate-based hydrogel nanocomposite. This research suggests the strategy for resolving the challenges of high costs and complex fabrication processes associated with stretchable electrode, providing a solution to accelerate the commercialization of wearable electronic devices.
Оптимальное восстановление дробных степеней разностного оператора Лапласа
Authors: Sivkova Elena Olegovna
Published: February 2025

Определяется понятие дробной степени разностного оператора Лапласа функции на $d$-мерной решетке и ставится задача об оптимальном восстановлении этой дробной степени по приближенной информации о самой функции. Построено семейство оптимальных методов восстановления.
Библиография: 11 названий.