bluuebunny/crossref_metadata_2025 huggingface dataset:
Retombées économiques des jeux olympiques
Authors: Gayant Jean-Pascal
Published: August 2024

Depuis une quarantaine d’années, les études d’impact fleurissent à l’approche des grandes manifestations sportives. Elles sont supposées mesurer le supplément d’activité économique engendré par la tenue de la manifestation dans le bassin économique considéré. Riches d’une méthodologie qui s’est progressivement affinée, elles constituent désormais un outil de nature à éclairer les décideurs publics et les citoyens. Elles doivent cependant respecter certaines règles de l’art pour demeurer crédibles : porter sur un périmètre géographique bien défini, s’inscrire dans un cadre temporel court (ne pas dépasser les 12 mois au cœur desquels se déroule la manifestation), choisir un multiplicateur raisonnable cohérent avec le périmètre et les dépenses occasionnées par l’événement, ne pas se hasarder en conjectures déraisonnables en matière de tourisme induit ou d’investissements directs étrangers futurs. Contrairement aux études de court terme, les études de long terme sont peu convaincantes tout comme les évaluations de l’impact en termes d’emplois. En prenant de bonnes précautions méthodologiques, l’article évalue l’impact économique des Jeux olympiques de Paris 2024 à un peu plus de 4 milliards d’euros, impact à mettre en perspective avec un coût pour le contribuable estimé, à l’aube de l’ouverture des Jeux, à plus de 3,1 milliards d’euros.
A pseudo-spectral approach for optimal control problems of variable-order fractional integro-differential equations
Authors: Pirouzeh Zahra , Skandari Mohammad Hadi Noori , Pirbazari Kamele Nassiri , Shateyi Stanford
Published: August 2024

Nonlinear optimal control problems governed by variable-order fractional integro-differential equations constitute an important subgroup of optimal control problems. This group of problems is often difficult or impossible to solve analytically because of the variable-order fractional derivatives and fractional integrals. In this article, we utilized the expansion of Lagrange polynomials in terms of Chebyshev polynomials and the power series of Chebyshev polynomials to find an approximate solution with high accuracy. Subsequently, by employing collocation points, the problem was transformed into a nonlinear programming problem. In addition, variable-order fractional derivatives in the Caputo sense were represented by a new operational matrix, and an operational matrix represented fractional integrals. As a result, the mentioned integro-differential optimal control problem becomes a nonlinear programming problem that can be easily solved with the repetitive optimization method. In the end, the proposed method is illustrated by numerical examples that demonstrate its efficiency and accuracy.
Designing and Implementing a Cloud-Based Content Delivery Network
Authors: Gochhait Saikat
Published: August 2024

CDN is constituted of three basic components. A content provider is somebody entrusting the URI namespace of the Web objects to be dispersed. The content provider's server contains all such objects. A CDN provider can be some owner party that enables transportation conveniences to content providers to deliver content in a timely and reliable manner. They may employ geographically distributed caching and/or replica servers (surrogates or edge servers) to duplicate content. Together they may form what we call a web cluster. End users are the customers who use content from the content provider's website.
Attaining Energy Conservation in Buildings Through the Integration of Barley Organic Fibers Into Construction Concrete for Thermal Insulation
Authors: Benfrid Abdelmoutalib , Bouiadjra Mohamed Bachir , Benbakhti Abdeldjalil , Dine El Hannani Soumia , Krour Baghdad , Chatbi Mohammed , Harrat Zouaoui Rabie
Published: August 2024

In building construction, thermal comfort is a critical factor as it directly influences occupants' well-being, productivity, energy efficiency, and sustainability objectives. The maintenance of optimal thermal conditions not only enhances comfort but also contributes to reduced energy consumption. Concrete, being a primary material used in construction due to its economic, environmental, and ecological advantages, plays a significant role in achieving these thermal comfort goals. This chapter explores the thermal properties of organic concrete, a composite material incorporating Rogue straws. Employing LIWES and NIELSON SPAR models, the study assesses the homogeneous conductivity of different organic fiber fractions, thermal resistance, and flow characteristics. The findings demonstrate that organic concrete offers commendable thermal insulation suitable for construction purposes, emphasizing the significance of optimizing energy efficiency in construction technology.
Stability of Power Systems Integrating Renewable Energy
Authors: Ghiloufi Mabrouka , Sbita Lassaad
Published: August 2024

The fast development of new technologies and the investment in new infrastructure to modernize the grid are gradually replacing conventional power systems with renewable energy sources (RES). These changes introduce important challenges concerning the stability of the power plants. As industries and governments focus on sustainability and reducing carbon emissions CO2, the shift towards renewables like solar, wind, and hydro energy is accelerating. This transition requires careful planning and adaptation of the power grid to ensure that it remains stable and robust, despite the inherently variable nature of renewable energy sources. This chapter focuses on the modal analysis and eigenvalue techniques for studies' dynamic of electrical systems by analyzing the eigenvalues and the eigenvectors of the system matrix and determining the margin of stability, the damping ratio, the natural frequency, and the form of the system mode, as well as their evolution according to different scenarios. This can help assess the potential risks of instability in the system.
The Role of Renewable Energy in Powering Electric Vehicles
Authors: Chaganti Pavan
Published: August 2024

This chapter explores the symbiotic relationship between electric vehicles (EVs) and renewable energy sources, highlighting the benefits of combining clean electricity generation with transportation technology. It begins by discussing the environmental and energy security needs driving the shift to renewables, emphasizing the importance of reducing greenhouse gas emissions gas emissions and dependence on fossil fuels to combat climate change and enhance energy resilience. The versatility of renewable energy sources like solar, wind, hydro, and geothermal is showcased for their abundance, sustainability, and scalability in the transport sector. The chapter examines the role of renewable energy in lowering carbon emissions in transportation, particularly through vehicle electrification. It details the environmental advantages of EVs over combustion engines, including reduced greenhouse gases, air and noise pollution, and discusses the potential of EVs to integrate variable renewable energy sources and stabilize the grid.
A Web Semantic Mining Method for Fake Cybersecurity Threat Intelligence in Open Source Communities
Authors: Li Zhihua , Yu Xinye , Zhao Yukai
Published: August 2024

In order to overcome the challenges of inadequate classification accuracy in existing fake cybersecurity threat intelligence mining methods and the lack of high-quality public datasets for training classification models, we propose a novel approach that significantly advances the field. We improved the attention mechanism and designed a generative adversarial network based on the improved attention mechanism to generate fake cybersecurity threat intelligence. Additionally, we refine text tokenization techniques and design a detection model to detect fake cybersecurity threats intelligence. Using our STIX-CTIs dataset, our method achieves a remarkable accuracy of 96.1%, outperforming current text classification models. Through the utilization of our generated fake cybersecurity threat intelligence, we successfully mimic data poisoning attacks within open-source communities. When paired with our detection model, this research not only improves detection accuracy but also provides a powerful tool for enhancing the security and integrity of open-source ecosystems.
Genetic diversity and structure of Melocactus conoideus Buin. & Bred (Cactaceae), a critically endangered species endemic to southwestern Bahia State (Brazil)
Authors: Vieira Anderson Carvalho , Silveira Lucas  Amorim , Silva Carlos Bernard Moreno Cerqueira , Santos Elisa Susilene Lisboa dos
Published: August 2024

According to the International Union for Conservation of Nature [IUCN], Melocactus conoideus Buin. & Bred is a critically endangered cactus species, and genetic studies are still needed to support conservation strategies. Thus, this study aimed to characterize the genetic diversity and structure of M. conoideus using Inter Simple Sequence Repeats (ISSR) markers. We amplified the genomic DNA of 126 M. conoideus genotypes from the municipality of Vitória da Conquista, state of Bahia (Brazil), obtained within and outside the limits of the M. conoideus Environmental Reserve. To this end, 13 ISSR primers were used, and the genetic amplification profile was subjected to statistical analysis of genetic diversity and structure. One hundred and ninety-one markers were analyzed, 188 of which (97.7%) were polymorphic. Moderate genetic diversity (h = 0.29) was observed, with a significant variation when considering protected and unprotected regions. The set of markers varied between informative and uninformative (mean PIC = 0.24), and genetic differentiation ranged from moderate to high (Gst = 0.32) between populations inside and outside the environmental reserve. Gene flow between populations (Nm) was estimated at 1.02. Analysis of molecular variance revealed 33% of genetic variation between populations and 67% within populations. Bayesian analysis and principal coordinate analysis (PCoA) confirmed the existence of two groups (K=2), with individuals from the reserve showing homogeneity for a single gene pool. This result highlights the influence of exclusive genomic regions on the genetic structure of the species. These results suggest that the auto-ecology of M. conoideus influences variability and differentiation levels, besides contributing to genetic structuring in subpopulations. Our findings may help in genetic conservation and management planning, as well as in the in situ demographic expansion used by the bodies responsible for M. conoideus population maintenance.
Exploring Uncommon Neurologic Complication in Young Diabetics with Osmotic Demyelination Syndrome: A Case Series and Literature Review
Authors: Gupta Manisha , Gurjar Ramesh , Agrawal Arpit , Kohat Abhijeet Kumar , Kumar Abhishek
Published: August 2024

Osmotic demyelination syndrome (ODS) is well known to be associated with the rapid correction of hyponatremia. However, there is limited literature on its link to persistent or corrected hyperglycemic states in diabetic patients. We report two young patients with ODS and hyperglycemia. Neuroimaging and blood tests indicated central pontine and extrapontine myelinolysis with a hyperglycemic hyperosmolar state (HHS). These unusual cases provide insight into the neurologic complications of hyperglycemia.
Translation-like actions by $\mathbb{Z}$, the subgroup membership problem, and Medvedev degrees of effective subshifts
Authors: Carrasco-Vargas Nicanor
Published: August 2024

We show that every infinite, locally finite, and connected graph admits a translation-like action by

\mathbb{Z}

, and that this action can be taken to be transitive exactly when the graph has either one or two ends. The actions constructed satisfy

d(v,v\ast1)\leq3

for every vertex 

v

. This strengthens a theorem by Brandon Seward. We also study the effective computability of translation-like actions on groups and graphs. We prove that every finitely generated infinite group with decidable word problem admits a translation-like action by

\mathbb{Z}

which is computable and satisfies an extra condition which we call decidable orbit membership problem. As a nontrivial application of our results, we prove that for every finitely generated infinite group with decidable word problem, effective subshifts attain all

\Pi_{1}^{0}

Medvedev degrees. This extends a classification proved by Joseph Miller for

\mathbb{Z}^{d},\,d\geq1

.
Evolving Software Architecture Design in Telemedicine: A PRISMA-based Systematic Review
Authors: Jat Avnish Singh , Grønli Tor-Morten , Ghinea George , Assres Gebremariam
Published: August 2024

Objectives: This article presents a systematic review of recent advancements in telemedicine architectures for continuous monitoring, providing a comprehensive overview of the evolving software engineering practices underpinning these systems. The review aims to illuminate the critical role of telemedicine in delivering healthcare services, especially during global health crises, and to emphasize the importance of effectiveness, security, interoperability, and scalability in these systems.Methods: A systematic review methodology was employed, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework. As the primary research method, the PubMed, IEEE Xplore, and Scopus databases were searched to identify articles relevant to telemedicine architectures for continuous monitoring. Seventeen articles were selected for analysis, and a methodical approach was employed to investigate and synthesize the findings.Results: The review identified a notable trend towards the integration of emerging technologies into telemedicine architectures. Key areas of focus include interoperability, security, and scalability. Innovations such as cognitive radio technology, behavior-based control architectures, Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) standards, cloud computing, decentralized systems, and blockchain technology are addressing challenges in remote healthcare delivery and continuous monitoring.Conclusions: This review highlights major advancements in telemedicine architectures, emphasizing the integration of advanced technologies to improve interoperability, security, and scalability. The findings underscore the successful application of cognitive radio technology, behavior-based control, HL7 FHIR standards, cloud computing, decentralized systems, and blockchain in advancing remote healthcare delivery.
Predicting the Risk of Severity and Readmission in Patients with Heart Failure in Indonesia: A Machine Learning Approach
Authors: Indriany Finna E. , Siregar Kemal N. , Purwowiyoto Budhi Setianto , Siswanto Bambang Budi , Sutedja Indrajani , Wijaya Hendy R.
Published: August 2024

Objectives: In Indonesia, the poor prognosis and high hospital readmission rates of patients with heart failure (HF) have yet to receive focused attention. However, machine learning (ML) approaches can help to mitigate these problems. We aimed to determine which ML models best predicted HF severity and hospital readmissions and could be used in a patient self-monitoring mobile application.Methods: In a retrospective cohort study, we collected the data of patients admitted with HF to the Siloam Diagram Heart Center in 2020, 2021, and 2022. Data was analyzed using the Orange data mining classification method. ML support algorithms, including artificial neural network (ANN), random forest, gradient boosting, Naïve Bayes, tree-based models, and logistic regression were used to predict HF severity and hospital readmissions. The performance of these models was evaluated using the area under the curve (AUC), accuracy, and F1-scores.Results: Of the 543 patients with HF, 3 (0.56%) were excluded due to death on admission. Hospital readmission occurred in 138 patients (25.6%). Of the six algorithms tested, ANN showed the best performance in predicting both HF severity (AUC = 1.000, accuracy = 0.998, F1-score = 0.998) and readmission for HF (AUC = 0.998, accuracy = 0.975, F1-score = 0.972). Other studies have shown variable results for the best algorithm to predict hospital readmission in patients with HF.Conclusions: The ANN algorithm performed best in predicting HF severity and hospital readmissions and will be integrated into a mobile application for patient self-monitoring to prevent readmissions.
ChatGPT Predicts In-Hospital All-Cause Mortality for Sepsis: In-Context Learning with the Korean Sepsis Alliance Database
Authors: Oh Namkee , Cha Won Chul , Seo Jun Hyuk , Choi Seong-Gyu , Kim Jong Man , Chung Chi Ryang , Suh Gee Young , Lee Su Yeon , Oh Dong Kyu , Park Mi Hyeon , Lim Chae-Man , Ko Ryoung-Eun ,   Korean Sepsis Alliance
Published: August 2024

Objectives: Sepsis is a leading global cause of mortality, and predicting its outcomes is vital for improving patient care. This study explored the capabilities of ChatGPT, a state-of-the-art natural language processing model, in predicting in-hospital mortality for sepsis patients.Methods: This study utilized data from the Korean Sepsis Alliance (KSA) database, collected between 2019 and 2021, focusing on adult intensive care unit (ICU) patients and aiming to determine whether ChatGPT could predict all-cause mortality after ICU admission at 7 and 30 days. Structured prompts enabled ChatGPT to engage in in-context learning, with the number of patient examples varying from zero to six. The predictive capabilities of ChatGPT-3.5-turbo and ChatGPT-4 were then compared against a gradient boosting model (GBM) using various performance metrics.Results: From the KSA database, 4,786 patients formed the 7-day mortality prediction dataset, of whom 718 died, and 4,025 patients formed the 30-day dataset, with 1,368 deaths. Age and clinical markers (e.g., Sequential Organ Failure Assessment score and lactic acid levels) showed significant differences between survivors and non-survivors in both datasets. For 7-day mortality predictions, the area under the receiver operating characteristic curve (AUROC) was 0.70–0.83 for GPT-4, 0.51–0.70 for GPT-3.5, and 0.79 for GBM. The AUROC for 30-day mortality was 0.51–0.59 for GPT-4, 0.47–0.57 for GPT-3.5, and 0.76 for GBM. Zero-shot predictions using GPT-4 for mortality from ICU admission to day 30 showed AUROCs from the mid-0.60s to 0.75 for GPT-4 and mainly from 0.47 to 0.63 for GPT-3.5.Conclusions: GPT-4 demonstrated potential in predicting short-term in-hospital mortality, although its performance varied across different evaluation metrics.
A Fatigue Damage Spectrum-Based Approach to Vibration Durability Test
for Vehicle Batteries
Authors: Yan Xin , Guo Dongni , Wan Xiaofeng , Sun Jiamei , Quan Xinhui , Wang Ying
Published: August 2024

For the vibration durability bench test of commercial vehicle batteries, it is
essential to have accurate test specifications that exhibit high robustness and
reasonable acceleration characteristics. This study evaluates the impact of
different battery frame systems on the vibration response of the battery body,
as determined by road load spectrum test results of a commercial vehicle battery
system. It also confirms the variations in the external environmental load.
Utilizing the response spectrum theory, a comprehensive calculation method for
the fatigue damage spectrum (FDS) of batteries is developed. The time domain
direct accumulation method, frequency domain direct accumulation method, and
frequency domain envelope accumulation method are all compared. Analysis of
kurtosis and skewness reveals that when the load follows the super-Gaussian
distribution characteristics, the time domain direct accumulation method should
be used to calculate the fatigue damage spectrum to minimize damage loss rates.
The study also examines European standards, Chinese standards, and the working
conditions of proving ground, confirming significant differences in the fatigue
damage spectrum. By synthesizing working conditions and accelerated test
methods, a bench vibration durability test method that meets the requirements of
environmental working conditions in China and Europe is established, with an
acceleration coefficient of 17.0. This study provides a new guideline for the
development of vehicle battery systems.
Comparing Physical and Chemical Properties of Soot from Laboratory
Tests and Heavy-Duty Engines Used in Field Operations
Authors: Pacino Andrea , La Rocca Antonino , Cairns Alasdair , Fay Michael W. , Smith Joshua , Berryman Jacqueline , Fowell Mark
Published: August 2024

Morphology, nanostructure, and composition of soot extracted from the oil sump of
different heavy-duty engines operated under dynamometer and field conditions
were investigated. Soot characteristics were then compared to a carbon black
sample. Soot was extracted from used oil for transmission electron microscopy
(TEM) analysis. Energy-dispersive X-ray (EDX) and X-ray photoelectron
spectroscopy (XPS) analyses were also performed to assess soot composition. Two
soot classes, I and II, can be identified based on their appearance under the
TEM. Carbon black and class I particles have graphitic structures, while class
II samples have a more sludge-like appearance. Similar aggregate sizes were
observed among the samples. In all samples, the primary particle size
distribution ranges from 16 nm to 22 nm in terms of mean diameter. Differences
in the length and tortuosity of the graphitic fringes between the samples were
observed. The findings suggest a greater degree of interaction between class II
samples and the lubricating oil, and consequently, a different wear behavior may
be expected depending on the specific soot characteristics.
Mouth matters: Exploring the intersection of Yoruba cultural beliefs, metaphysical significance, and oral health practices
Authors: Timothy Olanrewaju Alabi, Ph.D.
Published: August 2024

This study delves into the intricate tapestry of Yoruba cultural beliefs and their impact on oral health. Focusing on the unique worldview of the Yoruba people, the research investigates the metaphysical significance of the mouth, drawing on proverbs, maxims, and Ifa corpus verses. The study combines primary data gathered through fieldwork in Ile-Ife with secondary sources to uncover the sociocultural influences on oral health practices. The Yoruba's tripartite view of personhood, comprising Ara (body), Emi (life force), and Ori (head), forms the basis for understanding the connection between oral health and overall well-being. While recognising the biological functions of the mouth, the Yoruba's emphasis on its metaphysical importance reveals a complex interplay between aesthetics, fashion, and oral health considerations. The findings suggest the need for targeted educational programs that leverage existing cultural beliefs to promote positive oral health behaviours among the Yoruba population.
Seedball technology overcomes effect of small seed-size and low soil fertility on early pearl millet seedling performance
Authors: Nwankwo C.I. , Herrmann L.
Published: August 2024

In the African Sahel region, pearl millet (Pennisetum glaucum (L). R. Brown) is mostly produced in low-nutrient soils. Available evidence shows that low soil fertility and small seed size significantly reduce seedling establishment and in turn, cause low grain yield. Seedball technology, which refers to a gravimetric mixture of loam soil, seeds, water and additives that improve plant performance, could overcome this effect in the field. The objective of this study was to optimise the influence of seedball on pearl millet (Pennisetum glaucum (L). R. Brown) seedling establishment in the African Sahel region. Conventionally sown and seedball-derived pearl millet seedlings, of a local and improved varieties, were grown for 29 days, from small and large seed sizes, in low- and medium-nutrient soils, in a greenhouse. Results showed that under low-nutrient conditions, and with small seed sizes, P. glaucum produced generally inferior biomas compared to normal nutrient conditions and large seed sizes. On the other hand, seedball technology significantly enhanced (P<0.05) seedling vigour, leaf number, plant height, dry matter accumulation, root length and fine root development; and nutrient uptake, irrespective of soil nutrient level and seed size in the two varieties used in this study. These enhancement effects were more obvious in the local variety compared to its improved counterpart.
Optimal sample size for DRIS model parameterisation to diagnosis nutrients status in fruit crops
Authors: Agbangba C.E. , Aubin A. , Sossa E.L.
Published: August 2024

Diagnosis and Recommendation Integrated System (DRIS) is an approach to nutrient diagnosis of crops, holistically through the relationship between nutrient balance of plants and soil. The objective of this study was to investigate the influence of sample size in DRIS model parameterisation, to diagnose nutrients status in fruit crops. Published data were resampled to obtain different sample sizes, ranging from 40 to 1000, with steps of 30. For each sample size, 1000 replications were generated to determine the mean value of the desired parameter (nutrient indices and Nutrient Balance Index). All nutrient indices decreased rapidly as sample size increased from 40 to 200. For each nutrient considered, indices varied slightly from 200 to 1000. This study has revealed that the size of sample used to establish DRIS norms, determines the accuracy of nutrient diagnoses in pineapple (Ananas comosus (L.) Merr.). The optimal data bank for nutrient diagnosis in the crop (pineapple) used in this study is 200.
Adaptation strategies to effects of climate change on vegetable production among women farmers in Imo State, Nigeria
Authors: Egwuonwu Helen Adeola
Published: August 2024

This study examined the adaptation strategies the women vegetable producers in Imo State, Nigeria, used in reducing the effects of  climate change on their production of vegetables. Using an interview schedule and multistage sampling, ninety (90) women vegetable  producers were chosen selected for this study. Descriptive statistics and multiple regression analysis were employed for the analysis.  Result revealed that vegetable women farmers were aware of change in climate (98.88%) and mainly obtained information from  extension agents (94.4%). The major effects that were perceived of climate change by women producing vegetables were low quality of vegetables (x̄ =3.17), loss of revenue (x̄=3.09), delay in maturation of vegetables (x̄ =3.02), increased postharvest loss (x̄=3.00), flooding of  farmland (x̄ = 2.92), loss of suitable land for agriculture (x̄ = 2.89) and famine (x̄ = 2.82). The major adaptation strategies used were elevation of the farm walls with sandbags or blocks to channel floodwater (x̄ = 3.30), changing the planting/stocking time (x̄ =3.13), using  improved crop varieties (x̄ = 3.10), avoidance of scorching by planting vegetables deeper than the usual planting depth (x̄ = 2.98),  practicing mix cropping (x̄ = 2.96), using nursery for transplantable crops (x̄ =2.77), use of mulching materials for crops (x̄ = 2.70), change  of harvesting date (x̄ = 2.70), using early maturity plants (x̄ = 2.70). However, the farmers identified constraints in the usage of adaptation  strategies in vegetable production as limited access to agricultural extension officers (x̄=3.65), inadequate access to timely information on  weather (x̄ = 3.50), inadequate credit facilities (x̄=3.24), inadequate farm labour (x̄ = 3.21), limited farm sizes (x̄ = 2.92), unpredictable  weather (x̄ = 2.91) and insufficient access to water resources (x̄ = 2.67). Therefore, the study concludes that climate change threatened  vegetable production and the study recommends that women vegetable farmers should have more contact with extension agents to give  them access to appropriate adaptation strategies that can minimize the effects of climate change on vegetable production. Also,  vegetable producers should practice effectively adaptation strategies to prevent flooding that can cause a reduction in available land for  vegetable production.
Assessment of Nutrition Knowledge, Perceived Stress, Physical Activity and Nutritional Status of Undergraduate Students of Biochemistry, Ahmadu Bello University, Nigeria
Authors: Ndidi Uche S. , Kudan Zeenat B. , Ajibola Bernard A. , Aliu Rukayat O. , Abubakar Muhammad A.
Published: August 2024

Undergraduate students are so concerned about academic activities that they pay less attention to their nutritional status and general wellbeing. A cross-sectional study aimed at assessing the nutrition knowledge, perceived stress, physical activity and nutritional status was carried out on 142 undergraduate students of the Department of Biochemistry, Ahmadu Bello University, Nigeria. The socio-demographic characteristics, nutrition knowledge and dietary habits, perceived stress (using Perceived Stress Scale, PSS-10), physical activity level (using Global Physical Activity Questionnaire, GPAQ) were assessed through online questionnaire form (survey kobo toolbox). Anthropometric indices were measured using stadiometer and digital weighing scale, haemoglobin and glucose levels were determined using haemoglobin test meter and glucometer, respectively. Results showed that majority of the respondents were males (66.2 %). Most respondents (60.60 %) ate two meals per day. The majority (75.35 %) of the students had very good nutrition knowledge and had mostly (75.4 %) medium perceived stress. Sedentary behaviour for males and females was found to be 325.00 ± 28.26 mins/week 418.00 ± 35.16 mins/week, respectively. Results further revealed that 3.50 % of the students were obese, 4.90 % overweight, 21.20 % underweight. The haemoglobin concentration (g/dL) were 12.93 ± 1.62 for males and 13.25 ± 1.22 for females and the glucose concentration (mmol/L) were 4.75 ± 1.16 for males and 4.66 ± 0.59 for females. Our findings suggest that majority of the students had good nutrition knowledge, normal nutritional status, medium perceived stress but poor physical activity.
Comparative Antioxidant and Anti-cholinesterase Properties of Catechin, Caffeine and Theobromine
Authors: Ademola Iyanuoluwa O. , Oboh Ganiyu , Ademosun Ayokunle O.
Published: August 2024

Catechin, caffeine and theobromine are three bioactive compounds that are present in plant foods and are major constituent of tea, coffee and cocoa drinks respectively. Although not structurally related, catechin, caffeine and theobromine have been reported to elicit psychostimulatory properties.   In this study, we investigated the antioxidant properties of the compounds through their radicals [1,1 diphenyl-2-picrylhydrazyl (DPPH), 2,2’-azinobis (3-ethylbenzothiazoline-6-sulfonate (ABTS), nitric oxide (NO), and hydroxyl (OH)] scavenging abilities, ferric reducing potentials and Fe2+ chelating abilities. The effect of the compounds on different prooxidants (FeSO4, cisplatin and sodium nitroprusside) induced lipid peroxidation in rat brain homogenates was assessed. Also, the effects of the compounds on some cholinergic [acetylcholinesterase (AChE) and butyrylcholinesterase (BChE)] enzymes in rats brain homogenates were assessed in vitro. The stock concentration of catechin, caffeine and theobromine were prepared and their inhibition of these enzymes were assessed (in vitro) in brain homogenate. The results revealed that caffeine, catechin and theobromine had antioxidant properties and exhibited inhibitory effects on activities of AChE and BChE. Catechin had the best antioxidant property while theobromine produced the highest enzyme inhibition effect. These findings may provide new insight into the effects of these bioactive compounds as obtained in many foods especially with respect to their antioxidant and neuroprotective effects.
Znaczenie influencer parentingu w zarządzaniu markami
Authors: Różańska Martyna
Published: August 2024

The aim of the study is to assess the possibilities of using influencer parenting in the brand communication activities on the Polish market and it’s impact on the decision-making process of future consumers. The subject of the study was to analyze the use of social media, mainly Instagram in managing the image of the child, as well as cooperation of parenting influencers with campanies. This publication uses one method of qualitative research – a case study of specific brands – with analysis of collaborations undertaken by selected influencers. The study found that parenting influencers relatively often share the image of a child when creating promotional content. The literature used includes scientifics publications, online articles and legal acts. Publications and documents contained a detailed description of selected issues, were also an inspiration for the considerations and research contained in this study.
Predicting Complete versus Incomplete Long-Term Functional Independence after Acute AIS Grade D Spinal Cord Injury: A Prospective Cohort Study
Authors: Dionne Antoine , Richard-Denis Andréane , Mac-Thiong Jean-Marc
Published: August 2024

Background:

The proportion of patients with American Spinal Injury Association Impairment Scale (AIS) grade D traumatic spinal cord injuries (tSCI) is increasing. Although initial motor deficits can be relatively mild, some individuals fail to recover functional independence.

Objectives:

This study aims to identify factors associated with failure to reach complete functional independence after AIS grade D tSCI.

Methods:

An observational prospective cohort study was conducted at a level 1 trauma center specialized in SCI care. A prospective cohort of 121 individuals with an AIS-D tSCI was considered. The baseline characteristics, length of acute stay, need for inpatient rehabilitation, and 12-month functional status were assessed. Univariate and classification and regression tree (CART) analyses were performed to identify factors associated with reaching complete versus incomplete functional independence (defined as perfect total SCIM III score at 12-month follow-up).

Results:

There were 69.3%, 83.3%, and 61.4% individuals reaching complete independence in self-care, respiration/sphincter management, and mobility, respectively. A total of 64 individuals (52%) reached complete functional independence in all three domains. In the CART analysis, we found that patients are more likely to achieve complete functional independence when they have a baseline motor score ≥83 (65% individuals) and if they present fewer medical comorbidities (70% individuals if Charlson Comorbidity Index [CCI] ≤4).

Conclusion:

About half of individuals with AIS grade D tSCI can expect complete long-term functional independence. It is important to recognize early during acute care individuals with baseline motor score <83 or a high burden of comorbidities (CCI ≥5) to optimize their rehabilitation plan.
On 2nd-order fully-nonlinear equations with links to 3rd-order fully-nonlinear equations
Authors: Euler Marianna , Euler Norbert
Published: August 2024

We derive the general conditions for fully-nonlinear symmetry-integrable
second-order evolution equations and their first-order recursion operators. We
then apply the established Propositions to find links between a class of
fully-nonlinear third-order symmetry-integrable evolution equations and
fully-nonlinear second-order symmetry-integrable evolution equations.
Text Mining YouTube Comment Data with Wordfish in R
Authors: Wermer-Colan Alex , Lemire-Garlic Nicole 'Nikki' , Antsen Jeff
Published: August 2024

In this lesson, you will learn how to download YouTube video comments and use the R programming language to analyze the dataset with Wordfish, an algorithm designed to identify opposing ideological perspectives within a corpus.
Frekans Oranı Yöntemi Kullanılarak Arsuz Çayı Havzası Heyelan Duyarlılık Analizi
Authors: Demirbilek Semir , Turoğlu Hüseyin
Published: August 2024

Heyelan afetleri, Türkiye’nin birçok bölgesinde gerçekleşen doğal afetlerin başında gelmektedir. Hatay Arsuz sınırları içerisinde yer alan Arsuz Çayı Havzası’da heyelan afetlerinin gerçekleştiği sahalardan biridir. Çalışmanın amacı, Arsuz Çayı Havzası’nın frekans oranı yöntemi aracılığıyla heyelan duyarlılık analizinin yapılmasıdır. Bu amaç doğrultusunda heyelan duyarlılık analizinin gerçekleştirilmesinde; yükselti, eğim, bakı, topografik nemlilik indisi (TWI) akarsu aşındırma gücü (Spi), yola uzaklık, akarsuya uzaklık, topografik pürüzlülük indisi (TRI), normalize edilmiş bitki indisi (NDVI), çizgisellik mesafesi, arazi örtüsü, yağış, vadi derinliği, eğrisellik ve litoloji olmak üzere toplamda 15 parametre kullanılmıştır. Analizlerin ortaya konulmasında 1/25.000 ölçekli Mersin P35b1, Mersin P35b2, Mersin P35b3, Antakya P36a4 topografya paftaları, 1/100.000 ölçekli Antakya P36-P37-Hama-R36- Mersin P35-Lazkiye-R35 jeoloji paftaları, sayısal yükselti modeli (SYM-10 m), arazi örtüsü(10 m), Sentinel-2 25/01/2024 güncel tarihli uydu görüntüsü (10 m), yol verisi (10 m), yağış verisi (1 km²) ile Coğrafi Bilgi Sistemleri (CBS) kullanılmıştır. Frekans oranı yöntemine göre oluşturulan heyelan duyarlılık haritası incelendiğinde, bu alanların dağılış özellikleri; çok düşük duyarlılık sınıfı 34.9 km², toplam alan içerisinde yaklaşık %23.8, düşük sınıfta duyarlılık 31 km² ve toplam alan içerisinde % 21.2, orta duyarlılıkta sınıflar 45.9 km² ve toplam alan içerisinde %31.3, yüksek duyarlı alanlar 30.3 km² ve toplam alan içerisinde % 20.7, çok yüksek sınıfta duyarlılık sahaları ise 4.5 km² ve toplam alan içerisinde %3.1’lik alan kaplamaktadır. Çalışmada yapılan analizlerin doğruluğu için alıcı işletim karakteristiği (ROC) yöntemi kullanılmıştır. ROC yöntemine bağlı olarak doğruluk analizi kapsamında, Frekans Oranı (FR) yöntemine göre oluşturulan modelin 0.828 gibi oldukça yüksek bir değerde doğruluk değerine ulaşılmıştır. Buna göre model doğruluğu yaklaşık % 83 oranında bir doğruluğa sahiptir.
Pemberdayaan PLKB dan PPKBD melalui Pelatihan KIE/Konseling dalam Rangka Meningkatkan Keikutsertaan KB di Kabupaten Mamuju
Authors: Amin Erna , Tiyas Ajeng Hayuning , Anwar Yulianti
Published: August 2024

Tingginya jumlah penduduk di Indonesia salah satu sebabnya adalah tingginya Total Fertility Rate (TFR). Sedangkan penyebab tingginya TFR adalah Contraceptive Prevalence Rate yang rendah salah satunya di Kabupaten Mamuju dengan presentase CPR sebesar 49,15% pada tahun 2021. Perlu adanya penguatan pemberdayaan kader khususnya PLKB (Petugas Lapangan KB) sebagai garda terdepan yang mempunyai peran penting dalam memberikan pemahaman, pengetahuan melalui KIE kepada masyarakat tentang pentingnya mengikuti program KB. Tujuan kegiatan PkM  ini adalah meningkatnya pengetahuan dan keterampilan PLKB dan PPKBD dalam melakukan KIE/konseling KB sehingga dapat meningkatkan cakupan keikutsertaan KB pada PUS di Kabupaten Mamuju. Mitra dan sasaran kegiatan ini yaitu Kepala Dinas PPKB, PLKB, PPKBD, dan pasangan usia subur (PUS) di Kabupaten Mamuju. Kegiatan PkM dilakukan dengan memberikan pelatihan KIE/konseling KB untuk meningkatkan pengetahuan dan keterampilan PLKB dalam melakukan KIE, serta pendampingan PLKB melalui pemberian ABPK berupa RODA KLOP, dan pemantauan penjaringan calon akseptor KB sampai mendapatkan pelayanan sesuai dengan target. Hasil yang dicapai yaitu peningkatan pemahaman PLKB dalam melakukan KIE/Konseling dengan rata-rata nilai posttest sebesar 75.
Bimbingan Teknis Pemanfaatan Aplikasi Canva Sebagai Pendukung Media Pembelajaran Guru SMPN 11 Kota Bogor
Authors: Sukamdani Hariyadi B , Sukwika Tatan , Sukamdani Nugroho B , Sulistyadi Yohanes , Eddyono Fauziah , Aritonang Reikman
Published: August 2024

Saat ini perkembangan teknologi mempengaruhi media pembelajaran, sehingga diperlukan adanya pelatihan pembuatan media berbasis teknologi. Kebutuhan penyediaan bahan pengajaran seperti menggunakan aplikasi Canva bagi guru tidak terlepas dari kegiatan rutinitas di sekolah. Bahan pengajaran yang efektif selain dianggap lebih praktis dan mudah digunakan. Namun demikian tidak semua pengajar di sekolah menggunakan aplikasi canva sebagai pendukung media pembelajaran. Tujuan Pengabdian kepada Masyarakat (PkM) melalui bimbingan teknis ini adalah untuk menambah wawasan pengetahuan dan keterampilan guru SMPN 11 dalam membuat media pembelajaran berbasis teknologi. Metode PkM menggunakan pendekatan interaktif dan sosialisasi membangun memotivasi, tahapan rencana pelaksanaan, dan prosedur kerja yaitu tahap perencanaan, tindakan, observasi, dan evaluasi. Bimbingan teknis Canva ini dilaksanakan pada bulan April 2024 dan diikuti oleh 10 peserta. Kegiatan PkM menunjukkan hasil yang cukup baik, Dimana pada setiap Tujuan Instruksional Khususnya ada perubahan indikator berupa perkembangan yang memuaskan. Peserta memahami aplikasi canva dengan baik. Peserta mengakui bahwa aplikasi canva bermanfaat untuk membantu menyusun modul ajar. Berdasarkan faktor teknis dan faktor pendukung, diketahui bahwa kegiatan bimbingan teknis memberikan perubahan pada pengetahuan dan keterampilan peserta
Enhancing Workflow Efficiency through Machine Learning- Based Email Sorting
Authors: B.V Harshini , S Vadivazhagi
Published: August 2024

The present scenario of email management poses significant challenges due to the overwhelming volume of emails received daily across various domains. Traditional manual email sorting and classification methods are time-consuming, inefficient, and prone to errors. One of the critical limitations of the present scenario is the reliance on rule-based or keyword-based approaches for email classification. These methods often need more flexibility and help to adapt to the dynamic nature of email content, leading to inaccurate classification results. Additionally, the sheer volume of emails and the presence of spam, phishing attempts, and irrelevant messages exacerbate the difficulty of effectively categorizing emails. The problem addressed in this project is needing a more efficient and accurate email classification system to automate organizing and prioritizing incoming emails. The goal is to develop a solution that overcomes the limitations of existing approaches and enhances productivity by streamlining email management workflows. The proposed solution involves applying machine learning techniques, specifically natural language processing (NLP) and supervised learning algorithms, to classify emails into predefined categories automatically. By training a machine learning model on a labelled dataset of emails, the system can learn to recognize patterns and relationships within the email content, allowing for more accurate classification. Furthermore, the proposed solution aims to leverage advanced features such as sentiment analysis, entity recognition, and context-aware classification to improve the granularity and effectiveness of email categorization.
LA NEGOCIACIÓN COLECTIVA EN LOS ENTES PÚBLICOS LOCALES DE ANDALUCÍA
Authors: PRADOS DE REYES FRANCISCO JAVIER , OLARTE ENCABO SOFÍA , SOLER ARREBOLA JOSÉ A. , ALAMEDA CASTILLO MARÍA TERESA , MOLINA MARTÍN AMPARO M.
Published: August 2024

La regulación de las relaciones de trabajo en la Administración Pública ofrece en la actualidad un protagonismo creciente en el conjunto de las relaciones laborales en nuestro país.
O IMPACTO DA EXPRESSÃO CORPORAL DE CRIANÇAS COM ESPECTRO AUTISTA: REFLEXÕES A PARTIR DA PERSPECTIVA FOUCAULTIANA
Authors: GOMES BARBOSA SEBASTIÃO
Published: August 2024

Este artigo discute o impacto da norma como um princípio organizador das relações de poder na sociedade contemporânea, especificamente no que diz respeito à percepção da expressão corporal de crianças com espectro autista nos espaços sociais. O objetivo central do estudo é compreender como essa percepção, que é influenciada pela norma, afeta diretamente a vida cotidiana dessas crianças. Trata-se de um estudo que toma como base o conceito foucaultiano de norma. Para este estudo, utilizou-se metodologia de pesquisa do tipo qualitativa, com emprego de análise descritiva. Os resultados evidenciam que a expressão corporal das crianças com espectro autista desafia as normas sociais estabelecidas e abre espaço para um campo de resistência e redefinição. Além disso, apontam para a urgência de promover conscientização e educação no que se refere ao espectro autista, visando uma compreensão ampla da neurodiversidade. Destaca-se, assim, a importância de reconhecer e respeitar a singularidade desse público, transpor as barreiras impostas pelas normas sociais e fomentar uma reflexão sobre como tornar a sociedade mais acolhedora e inclusiva para todos os seus membros, independente das dificuldades e potencialidades de cada um, e dessa maneira, promover também mudanças significativas na participação das crianças com espectro autista nos diversos espaços da sociedade.
A LUDICIDADE COMO ESTRATÉGIA MOTIVADORA NO ENSINO DA LIBRAS PARA ALUNOS OUVINTES
Authors: ARAÚJO SILVA DOS SANTOS ROSILDA MARIA , MÉLO GURJÃO ROLDÃO MICHELLE
Published: August 2024

Acreditamos que o lúdico no processo do ensino e aprendizagem da Libras da criança ouvinte é um tema que precisa de atenção e investigação, pois julgamos que ele seja muito importante nas abordagens lúdicas, pois os educadores podem tornar o ensino dessa língua mais inclusivo e acessível, incrementando a valorização da diversidade linguística e cultural, além de ampliar a criatividade e imaginação e contribuir para a aquisição de conhecimentos. Nesse contexto, pensando em usá-la como um recurso pedagógico, uma vez que é prazeroso e colabora com o significado do conhecimento, este estudo tem como objetivo pesquisar sobre a importância da ludicidade no ensino da Libras para o ouvinte e sinaliza como questão problematizadora de que maneira a ludicidade contribui para o ensino da Libras como L2 do aluno ouvinte? Sinalizando como uma das hipóteses que o lúdico facilita a aquisição da Libras como L2. Para isso, optamos, como método, pela pesquisa qualitativa de cunho bibliográfico, tendo como critério seletivo artigos publicados na base eletrônica de dados Capes, obras e periódicos referentes à temática em foco, analisando seis sugestões de atividades pedagógicas lúdicas que favoreçam a aprendizagem do aluno ouvinte que estuda Libras. Para fundamentarmos teoricamente, contamos com Quadros and Schmiedt (2006), Luckesi (2002), Antunes (2017), Castro e Calixto (2016) e Lima Maia e Silva (2017), que falam sobre o trabalho lúdico em sala de aula, apontando contribuições e sugestões. Enfim, tivemos como resultado a certeza de que práticas lúdicas são técnicas facilitadoras indispensáveis para a aprendizagem da Libras, inclusive, recomendamos que sejam usadas não somente no ensino da LS , mas também em todas as aulas.