bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data Management in IoT: A Detailed Survey
Authors: Jerome Oswald Ebenezer J  , Calduwel Newton P  
Published: June 2023

This paper surveys the current state of data management in the Internet of Things (IoT). It begins by outlining the challenges and opportunities that data management in IoT presents. Firstly, data management deals with the technical challenges and solutions related to data management in IoT, including data acquisition, storage, and integration. The paper concludes with a set of recommendations for the development of effective data management strategies in the context of IoT. Secondly, the requirement of IoT for data management extends offline storage, query processing, and transaction management activities into online-offline communication and storage dual operations, and the idea of data management is broadened. This is accomplished by IPv6, as well as IoT-specific capabilities and protocols including CoAP, HTTP, and WebSocket. Users may track, monitor, and manage devices with Internet of Things (IoT) device management, ensuring that they operate effectively and securely after deployment. Finally, the paper discusses the various applications of IoT based on the concept of data management in IoT. Numerous more objects, including wearables, medical equipment, houses, cities, farms, industries, and workplaces, are being interacted with by billions of sensors. The IoT platforms assist in establishing and maintaining criteria to enhance and preserve data appropriately. The paper concludes with a set of recommendations for the development of effective data management strategies in the context of IoT. Smart gadgets automate processes so we may save time by controlling the environment. The most valuable data is protected by edge devices for data management, which also lowers bandwidth costs. These also offer excellent performance, data ownership, and cheap maintenance costs.
Beroepspedagogiek als maatschappelijke opdracht
Authors: Nieuwenhuis Loek , Kuijer-Siebelink Wietske 
Published: June 2023

Het beroepsonderwijs, zowel middelbaar als hoger, staat voor de taak om jongeren uit te rusten met beroepsvaardigheden, waarmee zij de onzekerheden van de toekomstige arbeidsmarkt te lijf kunnen. In dit artikel betogen wij, dat het klassieke lineaire model voor curriculumontwikkeling niet meer voldoet, om tenminste drie redenen: door de functionele inslag ontbreekt aandacht voor de vormende component; met de beroepenstructuur als uitvalsbasis, worden ambities en interesses van studenten uit het oog verloren; de arbeidsmarkt van (over)morgen wordt benaderd met kennis van (eer)gisteren.
Aan de hand van onder meer John Dewey en Hannah Arendt zoeken wij naar meer adequate ontwerpregels voor toekomstgericht beroepsonderwijs. Drie debatlijnen leiden tot een voorstel voor integraal herontwerp, waarin meer ruimte is voor onzekerheid en betrokken handelen van studenten en professionals. Een proeve van dit voorstel menen wij gevonden te hebben in “open-eind” onderwijsvormen, die we zien ontstaan op diverse plekken in het mbo en ho. Aan de hand van één praktijkvoorbeeld, de labs en werkplaatsen bij de han, wordt de waarde van onze ontwerpregels ingeschat in het laatste deel van deze bijdrage.
The Effect of High Silicon and Molybdenum Content on the Mechanical Properties and Microstructure of Gray Cast Iron
Authors: Dyrlaga Łukasz , Kopyciński Dariusz , Guzik Edward , Soból Grzegorz , Borak Dariusz 
Published: June 2023

This paper presents an overview of the current knowledge concerning SiMo ductile cast iron begins by describing the standard type of ductile cast iron before proceding to description of its microstructures. The paper then presents its chemical composition and the significant influence of individual elements on technological and mechanical properties. The research section focuses the influence of the addition of Si and Mo to the matrix of gray iron. After casting, stepped samples were carried out on the microstructure along with UTS tensile strength tests. The research presented in the article is a preliminary step towards the goal of obtaining a stable production process for silico-molybdenum cast iron.
Effect of Particle Size of a Powder upon the Properties and Microstructure of Boron-modified Fe-Ni-Mo-Cu Sinters
Authors: Perek-Nowak Małgorzata , Majchrowska Magdalena , Karwan-Baczewska Joanna , Rosso Mario 
Published: June 2023

The article discusses the effect of different particle fractions of prealloyed iron powder on the microstructure, density and hardness of sintered material. Each particle fraction (apart from 160–200 µm, which is a trace fraction) was modified with boron, its contents being, respectively, 0.2 wt.%, 0.4 wt.% and 0.6 wt.%. Next, the powder mixtures were pressed under a pressure of 600 MPa, and the final compacts were subject to sintering at 1200°C for 60 min in a hydrogen atmosphere. It was observed that the higher values of density and hardness were found in samples made from finer fractions of powder. A higher homogeneity of the microstructure and the highest degree of compactness was obtained in sinters from powder of 40–56 µm particle size, with 0.4 wt.% boron. Due to the use of small particle fractions of prealloyed powder, a higher degree of compactness in sinters was obtained with lower boron content. Also indicated was which particle fraction of Fe-Ni-Mo-Cu powder should be applied to obtain density in sinters with boron addition equal to almost 100% of the relative density of the analyzed alloy. The presented studies have both scientific and technological aspects.
Paediatric hospitalizations over three waves of COVID-19 (February 2020 to May 2021) in Italy: determinants and rates
Authors: Martella Manuela , Peano Alberto , Politano Gianfranco , Onorati Roberta , Gianino Maria Michela 
Published: June 2023

Background
After a pneumonia outbreak in late 2019 in China, a new virus related to the Coronaviridae strain, called Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2), was identified as the pathogen of an emerging disease known as COronaVIrus Disease 19 (COVID-19). Preliminary evidence outlines a higher prevalence in adults and lower susceptibility in children. However, recent epidemiologic research highlighted that transmissibility and susceptibility among children and adolescents become higher due to new virus variants. Infections among youth arises with mainly respiratory and gastrointestinal symptoms and malaise. Nevertheless, critical illness affects new-borns and fragile children, requiring hospitalization and possibly intensive care support. Aim of this study was to examine the impact of COVID-19 pandemic on hospital admissions among children and adolescents aged 0 to 17 years over three waves of COVID-19 (from February 2020 to May 2021) in Piedmont, a large Italian region, and to investigate the possible determinants of hospitalizations.

Methods
A meta-analysis for risk assessment was performed over three waves of COVID-19 (from February 2020 to May 2021). Data were extracted from the official Italian National Information System and ISTAT.

Results
Overall, 442 paediatric patients were enrolled and admissions concerned mostly the age group 0–4 years (60.2%). Trends of hospitalization showed a slight increase of paediatric admissions already in March 2020 and a rise during second and third waves (November 2020, March 2021). Paediatric age-grouped hospitalizations (0–4; 12–17; 5–11) reproduced an analogous trend. The children and adolescent hospitalization rate appeared lower than overall population with a moderate slope of increase in comparison with population slope. Monthly hospitalization rate (per 100,000) of children and adolescents aged 0–17 years reproduced the increasing trend of hospitalization numbers. This trend was influenced, in particular, by the trend of hospitalization rates for children aged 0–4 years. The meta-analysis for risk assessment showed a decreased likelihood of rescue of hospitalizations in female, 5–11 and 12–17 age groups. Conversely, the meta-analysis showed a positive association between foreign nationality and hospitalizations.

Conclusions
Our results show a comparable trend of paediatric hospital admissions for COVID-19 and of the entire population hospitalizations over three waves. COVID-19 hospital admissions increase with a bimodal age distribution and the most admissions are among patients aged ≤4 or 5–11 years. Significant predictive factors of hospitalization are identified.
CD4+ and CD8+ cell counts are significantly correlated with absolute lymphocyte count in hospitalized COVID-19 patients: a retrospective study
Authors: Liana Phey , Samosir Aprilia Paskah , Sari Nurmalia Purnama , Andriani Raden Ayu Linda , Verdiansah Verdiansah , Hidayatullah Hidayatullah , Ahmad Zen , Umar Tungki Pratama 
Published: June 2023

Background
Coronavirus disease 2019 (COVID-19) is a contagious respiratory illness that was declared a pandemic in March 2020. Lymphopenia is one of the specific laboratory results disturbance in COVID-19 patients. Such findings are frequently associated with substantial changes in T-cell counts, particularly CD4+ and CD8+ T-cells. This study aimed to examine the correlation between CD4+ and CD8+ cell counts and absolute lymphocyte count (ALC) in COVID-19 patients and analyze its difference based on the COVID-19 patients’ severity.

Methods
From March 2022 to May 2022, we conducted a retrospective cohort study using medical records and laboratory data from patients diagnosed with COVID-19 at our hospital who met the inclusion and exclusion criteria. The total sampling method was used to recruit study participants. We conducted bivariate analysis, which consisted of correlation and comparative analysis.

Results
Thirty-five patients met the inclusion and exclusion criteria and were divided into two severity groups (mild-moderate and severe-critical). The findings of this study revealed a significant correlation between CD4+ cell count and ALC on admission (r = 0.69, p < 0.001) and the tenth day of onset (r = 0.559, p < 0.001). Similarly, there was a correlation between CD8+ and ALC at admission (r = 0.543, p = 0.001) and on the tenth day of onset (r = 0.532, p = 0.001). Individuals with severe-critical illness had lower ALC, CD4+, and CD8+ cell counts than those with mild-moderate illness.

Conclusion
According to the findings of this study, there is a correlation between CD4+ and CD8+ cell counts and ALC in COVID-19 patients. All lymphocyte subsets also showed a lower value in severe forms of the disease.
percepción de gestores municipales brasileños sobre el uso de la bicicleta como transporte post Política de Movilidad Urbana
Authors: Silva de Carvalho Cristiane , Fialho Carvalho Eriane , Rodriguez Rivera Milithza , Gonzalez Ruiz Inti , Delamaro Mauricio César 
Published: June 2023

Motivados por la Política Nacional de Movilidad Urbana, los municipios brasileños inician un proceso de implementación de medidas que faciliten el uso de la bicicleta como transporte en sus territorios. Es de gran relevancia caracterizar las condiciones del uso de este medio de transporte y, a la vez, evaluar cómo los municipios afrontan el desafío planteado a nivel federal para la movilidad urbana. Este trabajo discute las capacidades municipales destinadas a la planificación y gestión de la bicicleta como transporte. Para esto, se analizaron documentos oficiales y se entrevistaron a los responsables de transporte de 11 municipios de la Región Metropolitana do Vale do Paraíba e Litoral Norte. Los resultados muestran que la política y sus directrices han logrado permear en la gestión y planificación municipal resaltando la importancia de la bicicleta como medio de transporte. Sin embargo, sigue siendo la capacidad institucional municipal la brecha a subsanar en la implementación de medidas.
Emotional intelligence and its association with psychological well-being: an empirical study concerning B-school students in and around Hyderabad Metro
Authors: Nag Debanjan , Prasad KDV , De Tanmoy , Patnaik Satabdi 
Published: June 2023

This paper presents the results of General Linear Model on the association between Emotional Intelligence and Psychological Well-being in B-school students in and around Hyderabad Metro, India. The study was carried out using two standardized questionnaires – a 30-item modified version of Emotional Intelligence scale developed by Kalpana Sri et al., and 18-item Psychological Well-being Scale developed by Carol Ryff. The General Linear Model multivariate analysis was used to study the effect of emotional intelligence variables – self-awareness, managing emotions, motivating oneself, empathy and social skill on psychological well-being variables self-acceptance, environmental mastery, autonomy, personal growth, positive relations with others, and purpose life. Survey Instrument was developed and circulated online across various channels like emails, Whatsapp, LinkedIn to collected data. The questionnaire link was shared to more than 300 B-School students in and around Hyderabad Metro. One hundred and ninety eight valid responses were subjected to data analysis to measure the association between emotional intelligence and psychological well-being. The instrument's reliability was assessed by measuring Cronbach’s alpha values which ranged from 0.65-0.81. The General Linear Model results indicate statistically significant effect of emotional intelligence factors on total on psychological well-being; managing emotions (p<0.05), motivating oneself (p<0.05), Empathy (p<0.001), social skill (p<0.001. There were statistically significant age differences observed (p<0.05) with the whole model. Further, the General Linear Model analysis carried out a distinct analysis of variance for each of the dependable variables with each independent variable. The emotional intelligence factors self-awareness, empathy and social skills are statistically significant and influencing the psychological well-being of B-school students. There were no statistically significant gender differences observed, however, the age is statistically significant and influencing, psychological well-being factors, purpose of life, personal relations with others and autonomy (p<0.05). The multivariate statistic Partial Eta Squared with a multivariate variance of the dependent variables and associated group factors are reported. The findings of this study indicate a statistically significant positive association between and psychological well-being, suggesting that emotional intelligence is a predictor of psychological well-being among B-school students round Hyderabad Metro.
Optimization Chicken Meatball Using Red Lentil Flour (Lens culinaris L.) as Filler
Authors: Rohmah Nur Ifadah , Evanuarini Herly , Thohari Imam 
Published: June 2023

Aims: The aim of the study was to determine the quality of chicken meatballs added with red lentil flour based on physicochemical quality, organoleptic quality, and microstructure. Sample: chicken meatballs using red lentil flour.
Methodology: Laboratory experiment using Completely Randomized Design (CRD). The data were tabulated using Microsoft Excel, and the standard deviation (SD) was taken, then an Analysis of Variance (ANOVA) was performed. If different, proceed with the DMRT (Duncan's Multiple Range Test). Research at the Laboratory of Animal Product Technology Faculty of Animal Science, the Laboratory of Food Quality and Safety Testing Faculty of Agricultural Product Technology, the Universitas Brawijaya Malang, and the Integrated Research and Testing Laboratory Universitas Gadjah Mada Yogyakarta. February 2023. Research with four treatments consisting of without the addition of red lentil flour and the addition of red lentil flour 3%, 6%, and 9%. 5 replications.
Results: Chicken meatballs added with red lentil flour fiber are the best chicken meatballs by producing chicken meatballs with fiber content and have a color that is not pale. The best treatment for chicken meatballs has a fat content of 9.18%, ash content of 2.68%, fiber content of 0.84%, pH 6.26, organoleptic (color 3.68) (taste 2.98) (texture 3.43), and microstructures of chicken meatballs have different shapes and dense.
Conclusion: The best chicken meatballs are found by adding 9% red lentil flour (Lens culinaris L.) to produce, healthy chicken meatballs that contain fiber and have attractive colors. The best product assessment is based on meatball standards in Indonesia and can be accepted by consumers.
Stevens-Johnson Syndrome Secondary to Herpetic Infection: A Case Report
Authors: Jaabouti Ghizlane , Bencchakroun Soumia , Mahraoui Chafiq , Hafidi Naima El 
Published: June 2023

Stevens-Johnson syndrome (SJS) is a rare but serious drug reaction characterized by extensive necrosis of the skin and mucous membranes. It is considered a medical emergency and requires immediate medical intervention, with a high mortality rate, especially during the acute phase.
Symptoms of Stevens-Johnson syndrome include a rash, blisters, and lesions in the oral mucosa, throat, genitals, and eyes. Before the rash appears, symptoms such as fever, headache, muscle pain, and flu-like signs may occur.
While the causes of Stevens-Johnson syndrome are not fully understood, it is often associated with an allergic reaction to medication. In children, it can also have an infectious origin.
Survivors of Stevens-Johnson syndrome may experience long-term sequelae, including cutaneous, ophthalmological, genital, oral-dental, and psychological issues. Therefore, monitoring and early detection are crucial.
The severity of this pathology makes the reported case particularly compelling. It highlights the importance of medical personnel having knowledge and mastery of this condition in order to improve management and prognosis.
We report the case of an 8-year-old child who presented with a pseudogripal syndrome that rapidly progressed in 24 hours to an exanthem characterized by macules in pseudo-rings. The condition was complicated by a severe, diffuse enanthem and resulted in detachment with a positive Nikolsky sign. The clinical and biological evolution was favorable under symptomatic treatment, antiviral medication and intravenous immunoglobulin infusion.Top of Form
Inference of Rock Phosphate, Phosphorus Solubilizing Bacteria and Lime on Phosphorus Content and Economic Yield of Green Gram
Authors: Venu Nakeertha , Devi N. Surbala , Das Hiren , Devi Laishram Nikita , Anusha Mamidipalli 
Published: June 2023

Aim: To study the effect of Rock Phosphate, Phosphorus Solubilizing Bacteria, and Lime on phosphorus content in the soil, Phosphorus Uptake, and Economic yield of green gram (var. DGGS-4).
Study Design: This experiment was conducted through a completely randomized design with 10 treatments and 3 replications.
Place and Duration of Study: The research was conducted at the Department of Soil Science and Agricultural Chemistry, Central Agricultural University, Imphal between February 2019- November 2019.
Methodology: Available phosphorus content in soil was estimated spectrophotometrically by Bray and Kurtz No. 1 method, the Active Phosphorus was determined by the addition of Saloid-bound phosphate, Aluminum phosphate, iron phosphate, and calcium phosphate, and total Inorganic P is the summation of all the inorganic forms of P. Total Phosphorus (Total P) in Soil was estimated by using Murphy-Riley solution and 5M NaOH and the intensity of yellow color was read at 730 nm in a spectrophotometer, organic P was calculated from the difference between total phosphorus and total mineral P, and the uptake of phosphorus was computed from the data on P concentration and dry matter yield.
Results: The release and fixation pattern of different forms of phosphorus, its uptake, and the economic yield of green gram were significantly affected by the application of rock phosphate singly or combination with PSB and lime. Comparing among the different treatments, significantly higher accumulation of available Phosphorus, Phosphorus uptake, and economic yield were recorded in soil treated with Rock phosphate in combination with Phosphocare, Bacillus megatherium, and lime which is at par with treatment with Rock phosphate in combination with Bacillus megatherium and lime.
Conclusion: The investigation revealed that the release and fixation pattern of different forms of phosphorus, its uptake, and the yield of green gram are significantly affected by the application of RP singly or combination with PSB and lime.
Development of a Deep Learning Model for Retinal Hemorrhage Detection on Head Computed Tomography in Young Children
Authors: Gunturkun Fatma , Bakir-Batu Berna , Siddiqui Adeel , Lakin Karen , Hoehn Mary E. , Vestal Robert , Davis Robert L. , Shafi Nadeem I. 
Published: June 2023

ImportanceAbusive head trauma (AHT) in children is often missed in medical encounters, and retinal hemorrhage (RH) is considered strong evidence for AHT. Although head computed tomography (CT) is obtained routinely, all but exceptionally large RHs are undetectable on CT images in children.ObjectiveTo examine whether deep learning–based image analysis can detect RH on pediatric head CT.Design, Setting, and ParticipantsThis diagnostic study included 301 patients diagnosed with AHT who underwent head CT and dilated fundoscopic examinations at a quaternary care children’s hospital. The study assessed a deep learning model using axial slices from 218 segmented globes with RH and 384 globes without RH between May 1, 2007, and March 31, 2021. Two additional light gradient boosting machine (GBM) models were assessed: one that used demographic characteristics and common brain findings in AHT and another that combined the deep learning model’s risk prediction plus the same demographic characteristics and brain findings.Main Outcomes and MeasuresSensitivity (recall), specificity, precision, accuracy, F1 score, and area under the curve (AUC) for each model predicting the presence or absence of RH in globes were assessed. Globe regions that influenced the deep learning model predictions were visualized in saliency maps. The contributions of demographic and standard CT features were assessed by Shapley additive explanation.ResultsThe final study population included 301 patients (187 [62.1%] male; median [range] age, 4.6 [0.1-35.8] months). A total of 120 patients (39.9%) had RH on fundoscopic examinations. The deep learning model performed as follows: sensitivity, 79.6%; specificity, 79.2%; positive predictive value (precision), 68.6%; negative predictive value, 87.1%; accuracy, 79.3%; F1 score, 73.7%; and AUC, 0.83 (95% CI, 0.75-0.91). The AUCs were 0.80 (95% CI, 0.69-0.91) for the general light GBM model and 0.86 (95% CI, 0.79-0.93) for the combined light GBM model. Sensitivities of all models were similar, whereas the specificities of the deep learning and combined light GBM models were higher than those of the light GBM model.Conclusions and RelevanceThe findings of this diagnostic study indicate that a deep learning–based image analysis of globes on pediatric head CTs can predict the presence of RH. After prospective external validation, a deep learning model incorporated into CT image analysis software could calibrate clinical suspicion for AHT and provide decision support for which patients urgently need fundoscopic examinations.