bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Quasi-experimental study on the effectiveness of primary caregiver social support capacity on self-management practices of clients living with type II diabetes in Machakos county, Kenya
Authors: Kiarie Jackline Njeri , Mambo Susan Njoki , Kamundi George Kimathi 
Published: January 2024

Background: Diabetes is a fast-growing public health emergency, projected to affect 643 million people by 2045. While primary caregiver social support can influence the self-management practices of Type 2 diabetes (T2D) clients, there's often limited capacity to provide it. The study determined the effectiveness of enhanced caregivers' social support capacity on self-management practices of T2D clients in Machakos.
Methods: A six-month quasi-experimental study design that adopted quantitative and qualitative data collection and analysis approaches. Primary caregivers at the Matungulu intervention site were trained on T2D self-management and types of social support, with no intervention conducted at the Masinga control site.
Results: Over 90% of the 227 primary caregivers were female, with a mean age of 43.28, supporting approximately three T2D clients each. Post-intervention, a 27.2% change in capacity to identify all T2D self-management practices was noted compared to a 7.6% change in the control group. The greatest contribution was in the primary caregivers' ability to provide tangible, followed by emotional and informational social support, resulting in a statistically significant improvement in the self-management practices in the intervention site, B=0.140 (95% CI: 0.072, 0.208), t=4.046, p<0.001. Consequently, the difference in blood glucose levels was statistically significant, crude OR=3.213 [95% CI: 2.039, 5.063], p<0.001.
Conclusions: Enhanced capacity to provide social support positively correlates with the T2D clients' self-management practices. Further investigation of factors that hinder the full realization of primary caregiver social support capacity benefits in improving self-management capacities among T2D clients is recommended.
Imagen Hauntológica
Authors: GAVILANES PANDO GEOVANNY 
Published: January 2024

El presente artículo aborda a la fotografía analógica en la contemporaneidad como resultado de una búsqueda de la imagen hauntológica, definición emergente a partir de los conceptos de hauntología y hauntología sónica planteados por Jacques Derrida y Mark Fisher respectivamente. En la primera parte, se aborda el proceso de cambio tecnológico y cultural desde las primeras cámaras de madera y cartón hasta la modernidad digital del sensor y el pixel. En la segunda parte, se exploran aplicaciones móviles, el cambio del entorno fotográfico gracias a las redes sociales y filtros de software. Finalmente, como respuesta a la pregunta ¿porqué usamos cámaras de rollo y artefactos del pasado en la modernidad del iPhone? se propone el concepto de imagen hauntológica, que se encuentra en la búsqueda de un pasado virtual en una equivalente nostalgia material por medio de procesos y circuitos fotográficos combinados entre analógico y digital.
PALABRAS CLAVE: Fotografía, Renacimiento analógico, hauntología, culture visual, nostalgia.
que compensa mais: gasolina ou etanol?
Authors: Ester Gonçalves Thais , Deodato André Augusto 
Published: January 2024

Neste artigo apresentamos o relato de uma experiência vivenciada durante a disciplina de Estágio Supervisionado, em especial, durante a regência de uma aula na qual foi realizada uma atividade investigativa. Assim, estabelecemos como objetivo analisar as estratégias adotadas pelos alunos durante tal atividade, na qual noções de porcentagem foram mobilizadas para reflexão sobre o consumo de combustível em automóveis. Para tanto, do ponto de vista teórico, o relato lança mão de um conceito de investigação que ressalta a importância de se valorizar o papel social da Matemática na sociedade. Do ponto de vista metodológico, nos valemos da legitimidade reconhecida nas pesquisas sobre a própria prática. Torna-se imperativo ressaltar que o material, sobre o qual incidirá a análise, foi produzido a partir do acesso aos registros de uma aula no relatório de estágio e no diário de campo de um dos autores. Como principais resultados, destacamos: i) a atividade investigativa pareceu ter incentivado os alunos no sentido de utilizarem o conceito de porcentagem para comparar qual combustível era economicamente mais vantajoso, a partir de uma ação de coletar informações reais sobre os preços praticados pelos postos de combustível da cidade em que residiam; ii) por meio da atividade investigativa, os estudantes fizeram uso de duas estratégias diferentes para o cálculo de porcentagens.
Z rodziną wychodzi się najlepiej na zdjęciu. Relacje Raskolnikowów w powieści Zbrodnia i kara Fiodora Dostojewskiego
Authors: Kożuchowska Julia 
Published: January 2024

Tematem artykułu jest próba analizy rodziny Raskolnikowów oraz relacji pomiędzy poszczególnymi jej członkami w powieści Zbrodnia i kara Fiodora Dostojewskiego.
W badaniach wykorzystano metody psychoanalizy Jacques’a Lacana i Carla Gustava Junga oraz hermeneutykę.
Człowiek jako stworzenie stadne od zarania dziejów tworzy swego rodzaju rodziny. Rodzina jest podstawową i bardzo ważną grupą społeczną, do której przynależą ludzie. Rodzice uczą dzieci zachowań i reakcji na dane sytuacje, przekazują im zasady moralne i poświęcają się dla prawidłowego rozwoju potomstwa. Rodzice są wzorami do naśladowania dla dzieci i na podstawie obserwacji zachowań dorosłych dzieci kształtują swój charakter, mechanizmy obronne oraz światopogląd. Ważnym nauczycielem umiejętności interpersonalnych jest również rodzeństwo, które uczy między innymi kompromisów, zdolności negocjowania oraz odpowiedzialności za innych. Rodzina Raskolnikowów jest niepełna z powodu samobójczej śmierci ojca, którego nieobecność odbiła się na życiu Pulcherii, Rodiona i Awdotii. Mimo trudnej sytuacji życiowej, ubóstwa i różnorakich problemów, każdy z członków rodziny okazuje wobec innych szacunek, troskę i gotowość do poświęceń. Każde z nich przedkłada dobro innych nad swoje, nie oczekując niczego w zamian. Zbrodnia Rodiona wpłynęła na jego relacje z matką i siostrą, przez co ich stosunki uległy pogorszeniu, lecz ostatecznie losy każdego z bohaterów kończą się szczęśliwie.
Protective effect of Moringa oleifera leaves extract on cardiac fibrosis of streptozotocin-induced diabetic rats
Authors: Salsabila Zadia Maheswari , Suryono . , Pralampita Pulong Wijang 
Published: January 2024

Diabetes mellitus (DM) is a metabolic disease characterized by chronic hyperglycemia that induces excessive reactive oxygen species (ROS) production and causes oxidative stress. Diabetic cardiomyopathy is a diabetic complication characterized by structural and functional changes of the myocardium. Fibrosis is one of the pathological features of diabetic cardiomyopathy. Moringa oleifera leaves have been reported to possess antidiabetic and antioxidant activities which could prevent diabetic complications such as cardiomyopathy. A previous study reported that M. oleifera leaves extract have protective effects to the kidneys and liver of rats exposed to oxidative stress. This study aimed to investigate the protective effect of the M. oleifera leaves extract on cardiac fibrosis of rats induced by streptozotocin (STZ). This was an experimental study using a posttest-only control group design. Thirty-three male Wistar rats were randomly divided into three groups i.e. normal control group (Group 1) were administered normal saline, diabetic control group (Group 2) were administered normal saline, and diabetic treatment group (Group 3) were administered M. oleifera leaves extract. Diabetes induction of rats was conducted by intraperitoneally injection of STZ at dose of 45 mg/kg BW. The M. oleifera leaves extract at a dose of 1000 mg/kg BW was administered orally one time a day for 28 days. Statistical analysis was performed using the Kruskal-Wallis test followed by Mann Whitney. A significant difference in cardiac fibrosis occurrence between three groups was observed (p < 0.05). No cardiac fibrosis was observed in normal control group, meanwhile cardiac fibrosis was observed in all rats (9 rats) of the diabetic control group (G2). Only 2 rats in the treatment group (G3) had cardiac fibrosis. In conclusion, M. oleifera leaves extract can inhibit cardiac fibrosis in STZ-induced diabetic rats.
AOA Critical Issues Symposium: The Dynamic Environment of Health Care
Authors: Lundy Douglas W. , Jevsevar David S. , Porter Scott E. , Miller Thomas L. 
Published: January 2024

Abstract:
The dynamic health-care environment continues to undergo disruptive change. As the health-care system emerges from the pandemic, underlying issues have progressively become critical. Private equity acquisition is dramatically increasing, and consolidation in the entire health-care system limits choice and access. Challenges in the workforce and supply chain persist, adding pressure on already strained health-care organizations. Innovative solutions are required to provide equitable value-based access to orthopaedic care.
Phosphorus fractions distribution and their relationship with physiochemical properties in the Agricultural soils of Yamuna River Region.
Authors: Sheshu Mutyalu , Hasan Amreen , Thomas Tarence , David Arun Alferd , Baradwal Akshita , Khatna Raghu Nandan Singh 
Published: January 2024

Abstract

Purpose: To expand research on soil phosphorus. Little is known about the concentrations of phosphorus fractions in the phosphorus-deficient area of the Yamuna River bank in Prayagraj. To overcome this gap, we suggest the exploitation of soil phosphorus fractions from soil samples in the study area.
Methods: We analysed 24 soil samples from four different depths at six different sites in agricultural fields around the Yamuna River. Samples were analysed, and different phosphorus fractions were sequentially extracted, followed by UV Spectrometry analysis of individual P fractions.
Results: We found that P-deficient soils were neutral in pH and low in salinity. Among the P fractions, calcium-P was the most predominant, followed by Fe-P, S-P, Occl-P, Red-P, and Al-P. The Overall results showed that available P, organic P, and Total-P decreased with increasing depth, whereas calcium P was significantly positively correlated with organic carbon ( r = 0.55*) and available nitrogen ( r = 0.55*), and significantly negatively correlated with clay (r = -0.32*), pH ( r = -0.22*), and EC ( r = -0.23*). Howe ever Occulated-P is a major contributing factor to the availability of P in soils.
Conclusion: Our regression equations showed that soil pH was the main soil property influencing the different P fractions. Applying organic P fertilizers can improve the quantity of P in these soils, and if enhanced analytical techniques are applied to soil samples, it is possible to gain more detailed insights into the dynamics of phosphorus fractions.
Associations Between Obstructive Sleep Apnea and Allergic Diseases: A Two-Sample Mendelian Randomization Study
Authors: Chen Jiaqin , Ma Xiaolu , Zhao QI , Zhang Zhongmian , Lin Zili , Wang Bin 
Published: January 2024

Abstract

Objectives:The objective of this study was to assess the causal relationship between obstructive sleep apnea (OSA) and allergic conditions including allergic asthma, allergic rhinitis, allergic conjunctivitis, and atopic dermatitis.
Design:We conducted a Mendelian randomization analysis to assess a potential causal relationship between OSA and allergic disease.
Setting and participants:All candidate gene data were from the IEU GWAS database, where OSA candidate genes included 16,761 cases and 201,194 controls, and the allergic disease dataset included allergic asthma (4,859 and 135,449 controls), allergic rhinitis (7,308 and 167,849 controls), allergic conjunctivitis (9,431 and 203,517 controls), and atopic dermatitis (7,024 and 198,740 controls).
Results:MR analysis using the IVW approach demonstrated that OSA was associated with a slight increase in the risk of allergic asthma (odds ratio [OR]=1.16; 95% confidence interval [CI]: 1.02–1.33; p = 0.019). Furthermore, compelling evidence emerged, indicating that OSA is associated with an elevated risk of other allergic conditions, such as allergic rhinitis (OR=1.16; 95% CI: 1.04–1.29; p = 0.006), allergic conjunctivitis (OR = 1.15; 95% CI: 1.05–1.27; p = 0.002), and atopic dermatitis (OR=1.16; 95% CI: 1.03–1.30; p=0.002). These results collectively contribute to a better understanding of the potential causal relationships between OSA and various allergic diseases.
Conclusion: The findings of the two-sample MR analysis indicated that OSA exhibited a potential increased risk of allergic diseases.
Automatic Beam Optimization Method for Scanning Electron Microscopy based on Electron Beam Kernel Estimation
Authors: Kim Kwangrak , Cho Yunje , Cho Junghee , Park Jonghyeok , Wang Jeonghyun , Jeong Seunggyo , Lee Jubok , Hwang Yun , Kim Jiwoong , Yu Jeongwoo , Jung Heesu , Park Hyenok , Shon Subong , Jo Taeyong , Lee Myungjun 
Published: January 2024

Abstract

Scanning Electron Microscopy (SEM) leverages electron wavelengths for nanoscale imaging. Achieving optimal imaging requires precise adjustment of parameters like focus, stigmator, and aperture alignment, and therefore a process traditionally relies on skilled personnel and time-consuming adjustments. Existing auto-focus (AF) and auto-stigmation (AS) methods face challenges due to the interdependent nature of these parameters and sample diversity. This paper introduces a novel beam kernel estimation method, designed to independently optimize SEM parameters, irrespective of sample variations. Our approach disentangles the mutual influences among parameters, enabling concurrent optimization of focus, stigmator x, y, and aperture-align x, y. This method demonstrates robust performance, yielding average errors of 1.00µm for focus, 0.30% for stigmators, and 2.28% for aperture alignment, significantly outperforming the sharpness-based approach with its average errors of 6.42µm for focus and 2.32% for stigmators, and lacking in aperture-align capabilities. The key innovation of our approach lies in its ability to address the complex interplay of SEM parameters through a blind deconvolution model, facilitating rapid and automated optimization. This advancement not only enhances the precision and efficiency of SEM operations but also broadens its applicability across various scientific and industrial fields.
Quantitative DigitoGraphy: a Comprehensive Real-Time Remote Monitoring System for Parkinson’s Disease
Authors: Hoffman Shannon , Schmiedmayer Paul , Gala Aryaman , Wilkins Kevin , Parisi Laura , Karjagi Shreesh , Negi Aarushi , Revlock Simon , Coriz Christopher , Revlock Jeremy , Ravi Vishnu , Bronte-Stewart Helen 
Published: January 2024

Abstract

People with Parkinson’s disease (PWP) face critical challenges, including lack of access to neurological care, inadequate measurement and communication of motor symptoms, and suboptimal medication management and compliance. We have developed QDG-Care: a comprehensive connected care platform for Parkinson’s disease (PD) that delivers validated, quantitative metrics of all motor signs in PD in real time, monitors the effects of adjusting therapy and medication adherence and is accessible in the electronic health record. In this article, we describe the design and engineering of all components of QDG-Care, including the development and utility of the QDG Mobility and Tremor Severity Scores. We present the preliminary results and insights from the first at-home trial using QDG-Care. QDG technology has enormous potential to improve access to, equity of, and quality of care for PWP, and improve compliance with complex time-critical medication regimens. It will enable rapid “Go-NoGo” decisions for new therapeutics by providing high-resolution data that require fewer participants at lower cost and allow more diverse recruitment.
Machine learning for catalyst design: data matters
Authors: Mendes Pedro , Vermeire Florence , Haute Thibaut Van , Thybaut Joris W. 
Published: January 2024

Abstract
Catalyst design via machine learning relies directly on models. This study
investigated to what extent those models and their output for catalyst design,
i.e. the key catalyst properties, depend on the data characteristics
such as volume, number of features, design space, correlation between features,
and experimental uncertainty. Both an in silico and an experimental
catalytic dataset were explored. All data characteristics proved to impact
either the model performance and/or the most important catalyst properties
recognized. Particularly, sufficiently large experimental datasets as well as
uncorrelated and well-designed experimental variables (i.e. catalyst or operating
conditions) are rare in literature, but not particularly difficult to obtain
in practice. Acquiring new data with the inferred characteristics would better
ensure sound models, even if case-specific investigations may also render
existing data as useful.
Supporting professionals in the use of N95 masks at the start of a COVID-19 pandemic: a quality improvement approach
Authors: Couture Camille , Lavoie Marie-Eve , Mauriello Katerine , Layani Geraldine 
Published: January 2024

Abstract

Background: At the beginning of the COVID-19 pandemic, healthcare professionals (HCP) faced many clinical uncertainties, due in part to the rapid evolution of knowledge about this disease and how to adequately protect themselves. The impact of a workshop alone on improving healthcare professionals’ (HCP) knowledge of the proper use of N95 masks at the beginning of the COVID-19 pandemic was unknown.
Objective:We aimed to describe the development and implementation of a workshop on the proper use of N95 masks in hospital and its impact on HCP knowledge.
Design: Quality improvement approach using a mixed-method, pre/post workshop design, based on the ADDIE instructional design framework.
Setting and participants: All HCP working in one hospital in an urban region (Laval, Canada) in April 2020 were eligible.
Intervention: Workshop content based on recommendations and procedures available at that time and validated by hospital microbiologists.
Main outcome measures: We assessed participants’ knowledge on using N95 masks by questionnaires, pre and post workshop.
Results: We elaborated the workshop content on and it was offered to HCP within one month. Of the 150 HCP who attended the 18 workshops, 69 completed the pre- and post-questionnaires. Most were women (88%) and nurses (59%). Participants’ knowledge increased after the workshop (24-85%) and their anxiety was subjectively reduced. Conclusion: Using a workshop to share the latest recommendations on the proper use of N95 masks increased HCPs’ confidence. The quality improvement approach allowed the flexibility and speed of action required in an urgent sanitary context.
MacErt Culture Media: A Cost-Effective Selective Media for Carbapenemase Producing Enterobacterales Surveillance
Authors: SOW Ousmane , CISSE Abdoulaye , NDIAYE Issa , NIANG Elhadj Aly , WANE Abdoul Aziz , FALL Cheikh , SAMBE Bissoume , Mohammed Nuredin Ibrahim , DIEYE Yakhya , SECK Abdoulaye 
Published: January 2024

Abstract
Culture media play a crucial role in the identification of bacterial pathogens. This study aimed to evaluate the performance of MacErt1 and MacErt2 culture media, for the selective detection of Carbapenemase-Producing Enterobacterales (CPEs).
MacErt1 and MacErt2 were formulated by supplementing MacConkey agar with 0.5 mg/L and 1 mg/L of ertapenem, respectively. The two media were assessed using a panel of 26 characterized Enterobacterales, including CPEs producing OXA-48, NDM, and KPC. Then, the media were employed under realistic conditions for the analysis of wastewater. For each wastewater sample, 10 ml were filtered, and the membrane was placed on MacErt agar, followed by overnight incubation. Subsequently, colonies underwent further examination. Antimicrobial susceptibility tests and Conventional PCR targeting oxa-48-like, ndm, kpc, vim, and imp were conducted on the colonies to assess carbapenem resistance genes presence.
MacErt1 exhibited excellent sensitivity (100%) for NDM, KPC, and OXA-48-like producers, while MacErt2 showed a sensitivity of 60% for OXA-48-like CPEs but maintained high sensitivity (100%) for NDM and KPC producers. MacErt1 and MacErt2 exhibited specificities for CPEs of 93% and 71%, respectively. The application of MacErt1 to wastewater samples yielded a sensitivity of 100% and a specificity of 83% for CPEs.
The study underscores the efficacy and cost-effectiveness of MacErt1 and MacErt2 culture media, in detecting CPEs. MacErt1 exhibits 100% sensitivity across all CPEs, with 83% specificity in wastewater samples. MacErt2, with a specificity of 93% and 100% sensitivity for NDM and KPC producers, emerges as an excellent choice when targeting these specific strains.
Analysis by TeloView® Technology Predicts the Response of Hodgkin’s Lymphoma to first line ABVD Therapy
Authors: Knecht Hans , Johnson Nathalie , Bienz Marc , Brousset Pierre , Memeo Lorenzo , Shifrin Yulia , Louis Sherif , Mai Sabine 
Published: January 2024

Abstract
Classic Hodgkin’s lymphoma (cHL) is a curable cancer with disease-free survival rate of over 10 years. Over 80% of diagnosed patients respond favorably to first line chemotherapy. However, 15-20% of patients experience refractory or early relapsed disease. To date, the identification of such patients is still not possible using traditional clinical risk factors. The three-dimensional (3D) telomere analysis has been shown to be a reliable structural biomarker to quantify genomic instability, inform on disease progression, and predict patients’ response to therapy in several cancers, particularly hematological disorders. The 3D telomere analysis previously also elucidated biological mechanisms related to cHL disease progression. Here we report results of a multicenter retrospective clinical study including 156 cHL patients. We used the cohort data as a training dataset and identified significant 3D telomere parameters suitable to predict individual patient outcome at point of diagnosis. Multivariate analysis allowed for developing a predictive model using four telomeric parameters as predictors, including the proportion of t-stumps (very short telomeres). The percentage of t-stumps was the most prominent predictor to identify refractory/relapsing cHL prior to the initiation of ABVD therapy. The model characteristics include AUC of 0.83 in ROC analysis, sensitivity, and specificity of 0.8 and 0.75 respectively.
Prevalence and Associated Factors of Chronic Diseases among University Academics
Authors: Khamaiseh Abdullah , Habashneh Sakhaa 
Published: January 2024

Abstract
Background
Chronic disease problems are globally, regionally, and locally on the rise, marking that non-communicable chronic diseases (NCCDs) are never again associated with wealth. NCCDs are to blame for 70% of the entire deaths in the whole world. This study aimed to assess the prevalence of and factors associated with chronic diseases among academics at Mutah University-Jordan.
Methods
A cross-sectional approach is used. The study sample consists of the all academics teaching in all faculties at Mutah University. A 2-part self-administered and structured questionnaire of the participants’ demographic data and the Sample Questionnaire Chronic Disease developed by Stanford Patient Education Research Center were distributed to collate data.
Results
The five conditions with the highest degree of prevalence among the participants were hypertension (19.6%), DM (17.5%), Rheumatoid (14.2%), Cardiac diseases (12.6%), and respiratory disorders (11.3%).
Conclusions
Smoking and being overweight were the major risk factors observed among academics and were more prevalent among men than women. Healthy lifestyle programs encouraging appropriate dietary habits and physical activity are strongly recommended in the universities.