bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Study on Mechanical Properties and Permeability Characteristics of Calcareous Mudstone under Different Confining Pressures
Authors: Xu Wei , Qu Xiao , Yan Long , Ning Yu
Published: June 2024

Calcareous mudstone, a type of red-bed soft rock, is prevalent in the surrounding rock of the Central Yunnan Water Diversion Project (CYWDP) in Yunnan Province, China, significantly impacting both construction and operation. The mechanical properties of calcareous mudstone vary with depth. This study investigates its mechanical properties, permeability characteristics, energy evolution, and macro- and micro-failure characteristics during deformation using triaxial compression tests under different confining pressures. Results reveal distinct stage characteristics in the stress–strain behavior, permeability, and energy evolution of calcareous mudstone. Crack propagation, permeability evolution, and energy dissipation are closely linked, elucidating the deformation and failure process, with fluid pressure playing a crucial role. The confining pressure σ3 increased from 2 MPa to 4 MPa and 6 MPa, while the peak stress σc (Pw = 1 MPa) of the calcareous mudstone increased by 84.49% and 24.89%, respectively. Conversely, the permeability at σc decreased from 11.25 × 10−17 m2 to 8.99 × 10−17 m2 and 5.72 × 10−17 m2, while the dissipative energy at σc increased from 12.39 kJ/m3 to 21.14 kJ/m3 and 42.51 kJ/m3. In comparison to those without fluid pressure (Pw = 0), the value of σc at Pw = 1 MPa was reduced by 36.61%, 23.23%, and 20.67% when σ3 was 2, 4, and 6 MPa, respectively. Increasing confining pressure augments characteristic stresses, deformation and failure energy, and ductility, while reducing permeability, crack propagation, and width. These findings enhance our understanding of calcareous mudstone properties at varying depths in tunnel construction scenarios.
Fatigue Analysis of Composite Bolted Joints under Random and Constant Amplitude Fatigue Loadings
Authors: Zhou Song , Yang Bo , Huang Yichang , Wu Xiaodi
Published: June 2024

This paper attempts to analyze the random fatigue life and failure modes of joints using two calculation methods. Three kinds of tests were carried out, which were the static test, constant amplitude fatigue test and the random fatigue test, and four kinds of joints were designed. After the static test, the joint was subjected to a constant amplitude fatigue test by selecting different percentages of load according to the static strength. In order to predict the random fatigue life more precisely, two calculation methods were carried out, which were the linear cumulative damage method and the equivalent loading finite element method. Based on the linear cumulative damage hypothesis, the fatigue life of the joint was established as a function of the load amplitude, and then, the random life prediction was calculated by the amplitude distribution of the random loading. Another method was the equivalent loading method, which was to obtain the equivalent constant amplitude fatigue loading of the random loading spectrum. The finite element model was established based on the stiffness and strength degradation rule. The equivalent random life and fatigue failure modes of the joint were modeled. The two life prediction methods show good agreement with the fatigue experimental result, and all prediction results were included in a scatter band of the factor of 2.
Impact of COVID-19 Pandemic on the Clinical Course and Complications of Varicella—A Retrospective Cohort Study
Authors: Pietrzak Maja , Pokorska-Śpiewak Maria
Published: June 2024

In this study, we aimed to characterize a cohort of children hospitalized due to varicella before and after the outbreak of the COVID-19 pandemic. Medical charts of all children hospitalized in the Regional Hospital of Infectious Diseases in Warsaw due to varicella in the years 2019 and 2022 were retrospectively analyzed and compared. In total, 221 children were included in the analysis; 59 of them were hospitalized in 2019, whereas 162 were hospitalized in 2022. Children hospitalized in 2022 were older than those reported in 2019 (median 4.0 vs. 3.0 years, p = 0.02). None of the hospitalized children received complete varicella vaccination. The most common complication in both years was bacterial superinfection of skin lesions, found in 156/221 (70.6%) of patients. This complication rate was higher in 2022 (50.8% in 2019 vs. 77.8% in 2022, p = 0.0001), OR = 3.38, 95% CI: 1.80–6.35. Moreover, skin infections in 2022 more often manifested with cellulitis (in 2022 13.6% vs. 3.4% in 2019, p = 0.03), OR = 4.40, 95% CI: 1.00–19.33. Sepsis as a complication of varicella was almost five-fold more prevalent in 2022 than in 2019 (p = 0.009), OR = 5.70, 95% CI: 1.31–24.77. Antibiotic use increased between 2019 and 2022 (71.2% vs. 85.2%, p = 0.01). Furthermore, patients were treated more frequently with the combination of two different antibiotics simultaneously (only 3.4% of patients in 2019 compared to 15.4% in 2022, p = 0.01). Primary infections with varicella zoster virus in 2022 led to a more severe course of the disease.
Enhancing Oral Bioavailability of Simvastatin Using Uncoated and Polymer-Coated Solid Lipid Nanoparticles
Authors: Abd-Elghany Amira E. , El-Garhy Omar , Fatease Adel Al , Alamri Ali H. , Abdelkader Hamdy
Published: June 2024

Simvastatin (SVA) is a well-prescribed drug for treating cardiovascular and hypercholesterolemia. Due to the extensive hepatic first-pass metabolism and poor solubility, its oral bioavailability is 5%. Solid lipid nanoparticles (SLNs) and hydrogel-coated SLNs were investigated to overcome the limited bioavailability of SVA. Four different lipids used alone or in combination with two stabilizers were employed to generate 13 SLNs. Two concentrations of chitosan (CS) and alginate (AL) were coating materials. SLNs were studied for particle size, zeta potential, in vitro release, rheology, and bioavailability. The viscosities of both the bare and coated SLNs exhibited shear-thinning behavior. The viscosity of F11 (Chitosan 1%) at 20 and 40 rpm were 424 and 168 cp, respectively. F11 had a particle size of 260.1 ± 3.72 nm with a higher release; the particle size of F11-CS at 1% was 524.3 ± 80.31 nm. In vivo studies illustrated that F11 had the highest plasma concentration when compared with the SVA suspension and coated chitosan (F11 (Chitosan 1%)). Greater bioavailability is measured as (AUC0→24), as compared to uncoated ones. The AUC for F11, F11-CS 1%, and the SVA suspension were 1880.4, 3562.18, and 272 ng·h/mL, respectively. Both bare and coated SLNs exhibited a significantly higher relative bioavailability when compared to that from the control SVA.
Integrated Mobile Visible Light Communication and Positioning Systems Based on Decision Feedback Channel Estimation
Authors: Wang Ruoxuan , Sun Yuzhe , Liu Zhongxu , Gao Mingyi , You Xiaodi
Published: June 2024

Visible light communication (VLC) and visible light positioning (VLP) systems are usually designed separately to prevent mutual interference, while terminal mobility often introduces challenges that can degrade their performance. In this paper, we propose an integrated visible light communication and positioning (VLCP) scheme designed for mobile scenarios, encompassing both multiple-input–single-output (MISO) and multiple-input–multiple-output (MIMO) configurations. This scheme integrates both functionalities into a unified system. Utilizing decision feedback channel estimation (DFCE), we effectively estimate the dynamic channel state information (CSI) for both VLC and VLP, thereby potentially enhancing both communication and positioning performance. Simulation results across various routes verify the effectiveness of the proposed scheme. It is observed that when the terminal moves at 1 m/s, the VLCP scheme with DFCE can maintain reliable transmission quality, ensuring bit error rates (BERs) consistently below 1.3 × 10−2. Additionally, the mean positioning errors remain within the centimeter range in different routes, not exceeding 4.3 cm and 15.5 cm in the MISO and MIMO scenarios, respectively.
Analysis of Long-Distance Geometric Error Measurement and Uncertainty Based on PSD Laser Collimation Principle
Authors: Cheng Yinbao , Luo Penghuang , Shen Bin , Wang Yinghui , Li Yaru , Li Shaohui
Published: June 2024

Due to the limitations of traditional geometric error measurement, the measurement accuracy of long-stroke geometric errors is generally not high and the operation is complicated. In response to the above situation, in this study, a geometric error measurement system is built with a laser beam as the reference line and 2D position sensitive detector as the photoelectric conversion device. The single measurement range is 40 m, and the measurement range is further expanded through the principle of segmented splicing. Using an ultra-long guide rail as the measurement object for straightness measurement, the experimental results are similar to those of a laser interferometer. The uncertainty analysis model was obtained through the analysis of quantity characteristics, and based on this, the variance synthesis theorem and probability distribution propagation principle were studied to form two uncertainty synthesis methods. The measurement evaluation results showed that the two methods were basically consistent. The work provided a reference method for the uncertainty evaluation of position-sensitive detector measurement systems in the future.
Characterization of Cellulosic Pulps Isolated from Two Widespread Agricultural Wastes: Cotton and Sunflower Stalks
Authors: La Rubia M. Dolores , Jurado-Contreras Sofía , Navas-Martos Francisco Javier , García-Ruiz Ángeles , Morillas-Gutiérrez Francisca , Moya Alberto J. , Mateo Soledad , Rodríguez-Liébana José Antonio
Published: June 2024

Globally, huge amounts of cotton and sunflower stalks are generated annually. These wastes are being underutilized since they are mostly burned in the fields. So, in this work, we proposed a three-step method consisting of acid pre-treatment, alkaline hydrolysis, and bleaching for the extraction of cellulose pulps. These pulps were characterized to assess their morpho-structural and thermal properties. The design of experiments and response surface methodology were used for the optimization of the acid pre-treatment in order to achieve maximum removal of non-cellulosic compounds and obtain pulps enriched in cellulose. For cotton stalks, optimal conditions were identified as a reaction time of 190 min, a reaction temperature of 96.2 °C, and an acid (nitric acid) concentration of 6.3%. For sunflower stalks, the optimized time, temperature, and acid concentration were 130 min, 73.8 °C, and 8.7%, respectively. The pulps obtained after bleaching contained more than 90% cellulose. However, special care must be taken during the process, especially in the acid pre-treatment, as it causes the solubilization of a great amount of material. The characterization revealed that the extraction process led to cellulose pulps with around 69–70% crystallinity and thermal stability in the range of 340–350 °C, ready to be used for their conversion into derivatives for industrial applications.
Recent Advances in Conductive Polymers-Based Electrochemical Sensors for Biomedical and Environmental Applications
Authors: Pan Youheng , Zhang Jing , Guo Xin , Li Yarou , Li Lanlan , Pan Lijia
Published: June 2024

Electrochemical sensors play a pivotal role in various fields, such as biomedicine and environmental detection, due to their exceptional sensitivity, selectivity, stability, rapid response time, user-friendly operation, and ease of miniaturization and integration. In addition to the research conducted in the application field, significant focus is placed on the selection and optimization of electrode interface materials for electrochemical sensors. The detection performance of these sensors can be significantly enhanced by modifying the interface of either inorganic metal electrodes or printed electrodes. Among numerous available modification materials, conductive polymers (CPs) possess not only excellent conductivity exhibited by inorganic conductors but also unique three-dimensional structural characteristics inherent to polymers. This distinctive combination allows CPs to increase active sites during the detection process while providing channels for rapid ion transmission and facilitating efficient electron transfer during reaction processes. This review article primarily highlights recent research progress concerning CPs as an ideal choice for modifying electrochemical sensors owing to their remarkable features that make them well-suited for biomedical and environmental applications.
Estimation of Genetic Parameters for Litter Size and Growth Traits in a Prolific Line of Tunisian Barbarine Sheep
Authors: Ziadi Chiraz , Bedhiaf-Romdhani Sonia , Molina Antonio
Published: June 2024

This study aimed to assess genetic parameters for ewe productivity in a Tunisian Barbarine sheep line. The traits studied were litter size (LS), birth weight (BW), weight at 90 days (W90), and average daily gain between 10 and 30 days (ADG13). A total of 3804 growth and 2726 lambing records were used. Bivariate linear and threshold animal models were fitted and analyzed using the Gibbs sampling methodology. Heritabilities for LS obtained with univariate threshold, bivariate linear, and threshold models were around 0.15, higher than the estimate obtained by a univariate linear model (0.09 ± 0.03). Direct heritability for growth traits remained consistent across models, except for W90 in the bivariate linear threshold model. Maternal heritability for growth traits was higher than direct heritability, ranging from 0.07 to 0.15, except for BW. The covariances between the direct and maternal effects of growth traits were slightly negative. Repeatability oscillated between 0.16 and 0.62. Direct genetic correlations between LS and the other traits were negative, varying from −0.18 (LS-BW) to −0.83 (LS-W90). Our results suggest that the threshold model may be the most appropriate for LS. A selection index including LS and growth traits may be proposed for routine genetic evaluation in this population.
Non-Invasive Multi-Gas Detection Enabled by Cu-CuO/PEDOT Microneedle Sensor
Authors: Khan Arif Ullah , Tahir Muhammad , Nisa Fazal Ul , Naseem Mizna , Shahbaz Iqra , Ma Zeyu , Hu Zilu , Khan Abdul Jabbar , Sabir Muhammad , He Liang
Published: June 2024

Metal-oxide-based gas sensors are extensively utilized across various domains due to their cost-effectiveness, facile fabrication, and compatibility with microelectronic technologies. The copper (Cu)-based multifunctional polymer-enhanced sensor (CuMPES) represents a notably tailored design for non-invasive environmental monitoring, particularly for detecting diverse gases with a low concentration. In this investigation, the Cu-CuO/PEDOT nanocomposite was synthesized via a straightforward chemical oxidation and vapor-phase polymerization. Comprehensive characterizations employing X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), X-ray diffraction (XRD), and micro Raman elucidated the composition, morphology, and crystal structure of this nanocomposite. Gas-sensing assessments of this CuMPES based on Cu-CuO/PEDOT revealed that the response current of the microneedle-type CuMPES surpassed that of the pure Cu microsensor by nearly threefold. The electrical conductivity and surface reactivity are enhanced by poly (3,4-ethylenedioxythiophene) (PEDOT) polymerized on the CuO-coated surface, resulting in an enhanced sensor performance with an ultra-fast response/recovery of 0.3/0.5 s.
Comparative Study of sEMG Feature Evaluation Methods Based on the Hand Gesture Classification Performance
Authors: Hellara Hiba , Barioul Rim , Sahnoun Salwa , Fakhfakh Ahmed , Kanoun Olfa
Published: June 2024

Effective feature extraction and selection are crucial for the accurate classification and prediction of hand gestures based on electromyographic signals. In this paper, we systematically compare six filter and wrapper feature evaluation methods and investigate their respective impacts on the accuracy of gesture recognition. The investigation is based on several benchmark datasets and one real hand gesture dataset, including 15 hand force exercises collected from 14 healthy subjects using eight commercial sEMG sensors. A total of 37 time- and frequency-domain features were extracted from each sEMG channel. The benchmark dataset revealed that the minimum Redundancy Maximum Relevance (mRMR) feature evaluation method had the poorest performance, resulting in a decrease in classification accuracy. However, the RFE method demonstrated the potential to enhance classification accuracy across most of the datasets. It selected a feature subset comprising 65 features, which led to an accuracy of 97.14%. The Mutual Information (MI) method selected 200 features to reach an accuracy of 97.38%. The Feature Importance (FI) method reached a higher accuracy of 97.62% but selected 140 features. Further investigations have shown that selecting 65 and 75 features with the RFE methods led to an identical accuracy of 97.14%. A thorough examination of the selected features revealed the potential for three additional features from three specific sensors to enhance the classification accuracy to 97.38%. These results highlight the significance of employing an appropriate feature selection method to significantly reduce the number of necessary features while maintaining classification accuracy. They also underscore the necessity for further analysis and refinement to achieve optimal solutions.
Safe Trajectory Planning for Incremental Robots Based on a Spatiotemporal Variable-Step-Size A* Algorithm
Authors: Hu Haonan , Wen Xin , Hu Jiazun , Chen Haiyu , Xia Chenyu , Zhang Hui
Published: June 2024

In this paper, a planning method based on the spatiotemporal variable-step-size A* algorithm is proposed to address the problem of safe trajectory planning for incremental, wheeled, mobile robots in complex motion scenarios with multiple robots. After constructing the known conditions, the spatiotemporal variable-step-size A* algorithm is first used to perform a collision-avoiding initial spatiotemporal trajectory search, and a variable time step is utilized to ensure that the robot completes the search at the target speed. Subsequently, the trajectory is instantiated using B-spline curves in a numerical optimization considering constraints to generate the final smooth trajectory. The results of simulation tests in a field-shaped, complex, dynamic scenario show that the proposed trajectory planning method is more applicable, and the results indicate higher efficiency compared to the traditional method in the incremental robot trajectory planning problem.
Empowering the Blind: Contactless Activity Recognition with Commodity Software-Defined Radio and Ultra-High-Frequency Radio Frequency Identification
Authors: Khan Muhammad Zakir , Althobaiti Turke , Almutiry Muhannad , Ramzan Naeem
Published: June 2024

This study presents a novel computational radio frequency identification (RFID) system designed specifically for assisting blind individuals, utilising software-defined radio (SDR) with coherent detection. The system employs battery-less ultra-high-frequency (UHF) tag arrays in Gen2 RFID systems, enhancing the transmission of sensed information beyond standard identification bits. Our method uses an SDR reader to efficiently manage multiple tags with Gen2 preambles implemented on a single transceiver card. The results highlight the system’s real-time capability to detect movements and direction of walking within a four-meter range, indicating significant advances in contactless activity monitoring. This system not only handles the complexities of multiple tag scenarios but also delineates the influence of system parameters on RFID operational efficiency. This study contributes to assistive technology, provides a platform for future advancements aimed at addressing contemporary limitations in pseudo-localisation, and offers a practical, affordable assistance system for blind individuals.
Progressive Pattern Interleaver with Multi-Carrier Modulation Schemes and Iterative Multi-User Detection in IoT 6G Environments with Multipath Channels
Authors: Dixit Shivani , Shukla Varun , Misra Manoj Kumar , Jimenez Jose M. , Lloret Jaime
Published: June 2024

Sixth-generation (6G) wireless networks demand a more efficient implementation of non-orthogonal multiple access (NOMA) schemes for severe multipath fading environments to serve multiple users. Using non-orthogonal multiple access (NOMA) schemes in IoT 6G networks is a promising solution to allow multiple users to share the same spectral and temporal resource, increasing spectral efficiency and improving the network’s capacity. In this work, we have evaluated the performance of a novel progressive pattern interleaver (PPI) employed to distinguish the users in interleaved division multiple access (IDMA) schemes, suggested by 3GPP guidelines as a NOMA scheme, with two multi-carrier modulation schemes known as single-carrier frequency-division multiple access (SC-FDMA) and orthogonal frequency-division multiplexing (OFDM), resulting in SC-FDMA-IDMA and OFDM-IDMA schemes. Both schemes are multi-carrier schemes with orthogonal sub-carriers to deal against inter-symbol interference (ISI) and orthogonal interleavers for the simultaneous access of multiple users. It has been suggested through simulation outcomes that PPI performance is adequate with SC-FDMA-IDMA and OFDM-IDMA schemes in terms of bit error rate (BER) under multipath channel conditions. Moreover, regarding bandwidth requirement and the implementation complexity of the transmitted interleaver structure, PPI is superior to the conventional random interleaver (RI).
Structural Evolution of the Pharmaceutical Peptide Octreotide upon Controlled Relative Humidity and Temperature Variation
Authors: Athanasiadou Maria , Papaefthymiou Christina , Kontarinis Angelos , Spiliopoulou Maria , Koutoulas Dimitrios , Konstantopoulos Marios , Kafetzi Stamatina , Barlos Kleomenis , Barlos Kostas K. , Dadivanyan Natalia , Beckers Detlef , Degen Thomas , Fitch Andrew N. , Margiolaki Irene
Published: June 2024

Octreotide is the first synthetic peptide hormone, consisting of eight amino acids, that mimics the activity of somatostatin, a natural hormone in the body. During the past decades, advanced instrumentation and crystallographic software have established X-Ray Powder Diffraction (XRPD) as a valuable tool for extracting structural information from biological macromolecules. The latter was demonstrated by the successful structural determination of octreotide at a remarkably high d-spacing resolution (1.87 Å) (PDB code: 6vc1). This study focuses on the response of octreotide to different humidity levels and temperatures, with a particular focus on the stability of the polycrystalline sample. XRPD measurements were accomplished employing an Anton Paar MHC-trans humidity-temperature chamber installed within a laboratory X’Pert Pro diffractometer (Malvern Panalytical). The chamber is employed to control and maintain precise humidity and temperature levels of samples during XRPD data collection. Pawley analysis of the collected data sets revealed that the octreotide polycrystalline sample is remarkably stable, and no structural transitions were observed. The compound retains its orthorhombic symmetry (space group: P212121, a = 18.57744(4) Å, b = 30.17338(6) Å, c = 39.70590(9) Å, d ~ 2.35 Å). However, a characteristic structural evolution in terms of lattice parameters and volume of the unit cell is reported mainly upon controlled relative humidity variation. In addition, an improvement in the signal-to-noise ratio in the XRPD data under a cycle of dehydration/rehydration is reported. These results underline the importance of considering the impact of environmental factors, such as humidity and temperature, in the context of structure-based drug design, thereby contributing to the development of more effective and stable pharmaceutical products.
Vaccination with a Protective Ipa Protein-Containing Nanoemulsion Differentially Alters the Transcriptomic Profiles of Young and Elderly Mice following Shigella Infection
Authors: Lu Ti , Raju Murugesan , Howlader Debaki R. , Dietz Zackary K. , Whittier Sean K. , Varisco David J. , Ernst Robert K. , Coghill Lyndon M. , Picking William D. , Picking Wendy L.
Published: June 2024

Shigella spp. are responsible for bacillary dysentery or shigellosis transmitted via the fecal–oral route, causing significant morbidity and mortality, especially among vulnerable populations. There are currently no licensed Shigella vaccines. Shigella spp. use a type III secretion system (T3SS) to invade host cells. We have shown that L-DBF, a recombinant fusion of the T3SS needle tip (IpaD) and translocator (IpaB) proteins with the LTA1 subunit of enterotoxigenic E. coli labile toxin, is broadly protective against Shigella spp. challenge in a mouse lethal pulmonary model. Here, we assessed the effect of LDBF, formulated with a unique TLR4 agonist called BECC470 in an oil-in-water emulsion (ME), on the murine immune response in a high-risk population (young and elderly) in response to Shigella challenge. Dual RNA Sequencing captured the transcriptome during Shigella infection in vaccinated and unvaccinated mice. Both age groups were protected by the L-DBF formulation, while younger vaccinated mice exhibited more adaptive immune response gene patterns. This preliminary study provides a step toward identifying the gene expression patterns and regulatory pathways responsible for a protective immune response against Shigella. Furthermore, this study provides a measure of the challenges that need to be addressed when immunizing an aging population.
Accumulation Patterns of Polychlorinated Dibenzo-p-Dioxins, Dibenzofurans and Dioxin-like Polychlorinated Biphenyls in Sediments of the South-Eastern Baltic Sea
Authors: Dembska Grażyna , Pazikowska-Sapota Grażyna , Galer-Tatarowicz Katarzyna , Flasińska Agnieszka , Suzdalev Sergej , Bojke Aleksandra , Kubacka Maria , Grochowalski Adam
Published: June 2024

The current research paper presents the results of the first regional assessment of sediment contamination by dioxins (polychlorinated dibenzo-p-dioxins (PCDDs), dibenzofurans (PCDFs) and dioxin-like polychlorinated biphenyls (dl-PCBs)) in the south-eastern part of the Baltic Sea (Lithuanian and Polish marine areas) during the periods of 2014 and 2019–2020. In total, 143 surface and core sediment samples were taken of existing offshore dredged-soil-disposal sites in the area of the former shipyard in the Port of Gdynia (Poland), as well as in a profile from the nearshore to the deeps of the Gdansk basin, following the natural pattern of sediment migration in the region. The obtained results indicated wide variation in both the total content of the investigated compounds as well as the profiles of congeners, indicating the likely sources of their origin. Based on the obtained concentration characteristic profiles of the congeners, we determined the amount of dioxins and the likely sources of their origin in the Gdansk Basin. The profiles showed elevated contents of octa- and hepta-chlorodibenzodioxins (OCDD and HpCDD) in the sediments, while the fractions of most other toxic congeners were considerably lower. The domination of OCDF in the spectrum of the studied PCDFs suggests the possible contribution of industrial processes. The obtained results have filled the gaps in our knowledge while providing a perfect background for more detailed discussions concerning the accumulation of dioxins in surface sediments from the south-eastern part of the Baltic Sea.
ASSESSMENT OF THERMAL COMFORT FOR CHILDREN IN RESIDENTIAL AND PUBLIC BUILDINGS
Authors: Svirin M. , Seminenko A.
Published: June 2024

In calculating children's thermal comfort, it is important to consider internal heat emissions, one of the main sources of which are the children themselves (heat exchange with the body surface, breathing, sweating). The accuracy of the calculation is influenced by their number, nature and intensity of activity, age, gender, and other parameters. Most regulatory documents base heat input calculations on a person with the following parameters: male, 20-30 years old, 70 kg, living in a temperate climate. This approach does not account for the physiological and age-specific characteristics of different age groups. The paper examines and refines the physiological parameters of children and uses models to numerically reflect the level of thermal comfort in a room. A calculation method is proposed that uses refined physiological parameters of children and evaluates thermal sensation of the indoor microclimate through the determination of Predicted Mean Vote (PMV) and Predicted Percentage Dissatisfied (PPD). Calculations of several microclimatic regimes were carried out, assessing the state of children of different ages and physical activity levels within the considered microclimate parameters. Analyzing the obtained data led to the conclusion that assessing human comfort using refined energy expenditures allows for a more flexible consideration of the thermal states of children in specific age groups. This enables higher quality regulation of the indoor microclimate of a specific room considering the examined factors.
DETERMINATION OF THE TEMPERATURE OF THE HEAT CARRIER IN METAL AND PLASTIC PIPES BY THE TEMPERATURE OF THEIR OUTER SURFACE
Authors: Barashkov Ilya , Kravchenko Nikita
Published: June 2024

To determine the coolant temperature by the pipe wall temperature, mutual dependences between the temperatures of the wall, coolant and air, flow velocity, and pipe dimensions are revealed. It is established that the flow velocity of the coolant in the pipeline affects the heat flux density only in the laminar flow regime characterized by low velocity. A linear dependence between the wall temperature, air temperature and coolant temperature has been found. A nomogram allowing to determine the coolant temperature in polypropylene pipes by their wall temperature has been constructed. It is shown that the surface temperature of steel pipes can be considered equal to the temperature of the coolant.
As vantagens e desvantagens do uso das tecnologias digitais na supervisão clínica dos estudantes de enfermagem
Authors: Oliveira Paula Manuela Dias de , Carrilho Selma Alexandra Teixeira
Published: June 2024

Somos Enfermeiras de profissão e com um gosto na orientação de estudantes de enfermagem nos ensinos clínicos, pensamos pertinente o objeto de estudo deste artigo, seja sobre a importância da Educação Pedagógica e o contributo das tecnologias digitais na comunicação entre a escola e o enfermeiro supervisor dos estudantes nos ensinos clínicos. Com este trabalho pretendemos realizar uma breve revisão de literatura, com artigos analisados tendo em conta as palavras-chave aqui mencionadas. As nurses by profession and with a passion for mentoring nursing students in clinical training, we believe that the subject of this article is the importance of Pedagogical Education and the contribution of digital technologies to communication between the school and the nurse supervising students in clinical training. With this work we intend to carry out a brief literature review, with articles analyzed taking into account the keywords mentioned here.
أثر تصورات التأهيل المفرط في الاتجاهات الوظيفيّة لدى منسوبي جامعة الطائف: دراسة ميدانية
Authors: الحربي عبدالله  مداري
Published: June 2024

هدف الدراسة: هدفت هذه الدراسة إلى التعرف على مستوى ظاهرة التأهيل المفرط والاتجاهات الوظيفيّة (الرضا الوظيفي والالتزام التنظيمي)، والتحقق من أثر التأهيل المفرط في هذه الاتجاهات منوجهة نظر منسوبي جامعة الطائف.تصميم/منهجية/طريقة الدراسة: اعتمدت الدراسة على قائمة استقصاء، تتضمن مجموعة من العبارات لقياس متغيرات الدراسة، واختبار فروضها؛ ومن ثم تحقيق أهدافها.عينة الدراسة وبياناتها: أجريت الدراسة الميدانية على عينة عشوائية تضمّ 228 مفردة من موظفي جامعة الطائف الأكاديميين والإداريين.نتائج الدراسة: كشفت الدراسة عن أن ثمة علاقات سلبية متوسطة ذات دلالة إحصائية بين التأهيل المفرط والاتجاهات الوظيفية (الرضا الوظيفي، والالتزام التنظيمي). كما كشفت عن أن علاقة التأهيل المفرط بالرضا الوظيفي كانت أقوى منها بالالتزام التنظيمي. وأظهرت النتائج أيضاً وجود علاقة إيجابية قوية بين الرضا الوظيفي والالتزام التنظيمي. إضافة إلى ذلك، بينت النتائج وجود أثر ذي دلالة إحصائية للتأهيل المفرط في الرضا الوظيفي والالتزام التنظيمي.أصالة الدراسة: في ظل غياب الدراسات العربية في هذا المجال الحديث فإن هذه الدراسة تعدّ من أولى الدراسات التي تختبر أثر ظاهرة التأهيل المفرط في الاتجاهات الوظيفية بجامعة الطائف.حدود الدراسة وتطبيقاتها: اقتصرت الدراسة على موظفي جامعة الطائف الأكاديميين والإداريين.
An overview on the Impact of Food Fraud Incidences in Various Countries and its Detection Methods, Assessment Techniques and Preventive Measures
Authors: B Kamalapreetha , R Gayathiri , K Geetika Gopi , R Mahendran
Published: June 2024

Food fraud is not just a local issue but perhaps a global phenomenon. If the food available in the market are undetected or poorly controlled, this can harm consumer health. Food fraud causes a lack of traceability of supply chains and may eventually be a risk to food safety. The purpose of this paper is to acquaint the various types of food fraud and to evaluate the detection methods in identifying the adulterants. It also addresses the importance of vulnerability assessment of food fraud and key actions required for its prevention. Fighting food fraud will remain a race between the fraudsters and scientists developing new methods to prevent them. The review is unique that it summarized food fraud types, basic and instrument-based detection techniques for adulterants identification and it also focuses on the international governing bodies concerned with food laws and regulations. This study also provides perceptions of the interplay between vulnerability assessment and food fraud prevention.
Turning Trash to Treasure: Unlocking Revenue and Clean Air from Kolkata's Dhapa Dumpsite
Authors: Chandra Swarniv
Published: June 2024

Solid waste generation has become a pressing environmental issue in India, exacerbated by rapid urbanization, industrialization, and population growth. Kolkata, as one of India's most populous cities, faces significant challenges in managing its solid waste effectively. This paper explores the state of solid waste generation in Kolkata, focusing on the Dhapa dumpsite, and proposes solutions to generate revenue from waste management activities. Kolkata generates approximately 4,500 metric tonnes of solid waste daily, comprising various types such as organic, plastic, paper, glass, and electronic waste. The city's waste management infrastructure struggles to cope with the escalating volume and complexity of waste generated. Legacy waste, accumulated over decades at sites like Dhapa landfill, poses additional challenges, including environmental degradation and health risks. Discussions on the efforts to address legacy waste through biomining and bioremediation techniques have been discussed. Landfill gas (LFG) extraction and utilization as well as possible opportunities for converting waste into energy, is also discussed. The economic feasibility of waste management initiatives at Dhapa depends on factors such as technological innovation, political will, and revenue generation from recovered materials. Public-private partnerships and incentivizing private sector involvement can enhance efficiency and innovation in waste management. Finally, addressing the economic dimensions of waste management in Kolkata requires a holistic approach integrating technological innovation, policy reform, and stakeholder engagement. By aligning economic incentives with environmental objectives, Kolkata can create a sustainable and prosperous future where waste is treated as a valuable resource.
Investment Decision Using Technical Analysis: A Study on Selected Stocks in Indian Stock Market
Authors: Logambal R , Kanagasabapathy G
Published: June 2024

Technical analysis is a methodology in financial markets that asserts its capability to predict future stock directions by scrutinizing historical market data, patterns in price movements, and correlations between price and volume. Traders widely utilize these data in their decision- making processes. The approach also takes into account the real-time behavior of market prices and volumes, operating under the assumption that these are the most influential factors in determining a stock’s or market’s future trajectory. Investors often grapple with decisions regarding which stocks to buy, the optimal purchase quantities, and when to execute selling or holding actions to maximize profits in the trading period. This research delves into these considerations, offering insights for short-term traders by analyzing the stock price trends of twelve companies across three distinct sectors over the 2020-2022 period.
Role of Women in Economic Development in India
Authors: Jonitha Stany Mary B X
Published: June 2024

Engaging women is a basic issue in non-industrial countries. Despite the fact that women are a vital piece of any general public, yet their association in dynamic by the utilization of their dynamic commitment in financial exercises is shallow. Women strengthening and monetary improvement are interlinked, where from one perspective, advancement alone can make light of a huge job in driving disparity among women and men while then again engaging women can help advancement. This paper investigates the job of women in the labor force for the monetary advancement of the country in various States.
Balancing Act: Exploring the Relationship between Inflation and Consumer Behaviour
Authors: Lakshmanamoorthy S , Athinarayanan S
Published: June 2024

This study investigates the intricate relationship between inflation and consumer behaviour in the contemporary economic landscape. Through a comprehensive analysis, we explore the impact of inflation on consumer spending patterns, considering demographic influences and adaptive strategies employed by individuals. The research utilizes regression analysis, ANOVA, and qualitative survey data to unravel the complexities of this relationship. Findings reveal a significant positive correlation between inflation rates and specific consumer spending categories. Demographic factors collectively exhibit a noteworthy influence on how diverse groups respond to inflation, emphasizing the need for targeted strategies. Additionally, the prevalence of adaptive strategies, with a focus on savings adjustments, highlights practical measures consumers adopt to navigate economic challenges. The study contributes valuable insights for businesses, policymakers, and researchers seeking to understand and navigate the dynamics of consumer behaviour in the face of inflationary pressures.
Rural Mental Health and Psychological Myths
Authors: Chitra M , Neevanandam Aruthdha Shree
Published: June 2024

Background of the Research: According to twentieth century psychiatrist Carl Jung, myth is a necessary aspect of the human psyche which needs to find meaning and order in a world. Human health is in the hands of self-believing about his/her health strongly that everyone who came to this earth will be alive with blessings of god/goddess when time comes, Eman the god will be with his rope to take the breath of human being which is stated as an etiology myth. This basic beliefs leads in every one mind set up to hope on each individual life ahead and to do their socio economic activities on daily basis. This leads to consumerism and an indirectly positive belief on life creates demand for goods and service from household economy to a national economy. So, basically good health of human being is the prime factor for every walk of their life to reach their desired socio economic destination. Aim of the Study: Here, in this paper, the researcher made an attempt to find the nexus between mental health of rural inhabitants and their psychological myth. Research Methodology: The methodology adopted for the research fact was field study by using an interview schedule as a tool for collecting the data from a district named Theni in Tamil Nadu. The sample size taken was 300. Targeted population was rural inhabitants in Theni district. A Purposive non random sampling was used in this study. Findings and Discussions: The obtained results from the field level study categorized that 36.6 percentages of rural respondents who were in the age group of fifty to sixty had a strong belief in witchcraft or psychological myths like destroying a person’s health and putting that person in bed with not able to do functioning of leg or hand by witchcraft (seivenai) and black magic. The same percentage or the same group of respondents had a belief in existing of ghost; Persons who died in accidents, suicide will penetrate into other body and exploit the health of host body. It’s very hard to change the psychological myths because of strong beliefs in existing of unknown energy known as god of all religion. As a result of beliefs, a good amount of economic time and money is spent for their mental satisfaction by 36.6 percentages of sample respondents in the study area. Hence, Myths always exist in a corner of human psychology in rural population but a degree of variation in accepting the myths. The remaining percentage of rural respondents in the age group of below fifty were the believe in advancement of science and technology, for example increasing subscribers in smart mobile phone and using internet, sending their sons and daughters to higher education for the sake of individual family betterment in micro level and as in macro nation’s betterment which is an another feature of the interviewed respondents. Among the ten respondents strongly three were believe in myths that were exclamatory to the artificial intelligence era. The aspects of money and time spend towards the myths may be taken as scope for further research in any geographical area if it exist.
A Study on Impact of Online Teaching among College Students in Madurai during Covid-19
Authors: Uma K. , Surendran K. , Deepthi Varsha Devi M.
Published: June 2024

The newly identified virus, SARS-CoV-2, is responsible for the COVID-19 pandemic, resulting in numerous fatalities and widespread closures across various sectors. To keep the learning cycle going, schools are turning to online teaching platforms like Google Meet, Zoom, Microsoft Team, Cisco Webex, and Slack, among others. These are the platforms that protect students from the epidemic and promote their ability to learn continually through online learning. The study focuses on the shift of educational sectors from offline to online modes, with the goal of measuring students’ satisfaction levels with online classes.
Effectiveness of Advertising on Social Media
Authors: Shanthi S. , Yasodha R.
Published: June 2024

Advertising today plays a pivotal role because of the fast growing competition and fear of losing the market. Without advertising, people will neither be aware of the attributes of the product nor of its price. A growing class of advertising media has been on the Social Media. Social Media advertising provides an advantage of its impact, mass coverage, repetition, flexibility and prestige of the product to its customers. The fact that the product or services is promoted on a Social Media may build a prestigious image of product and its sponsor. The Social Mediaadvertising may be taken for good communication requirement to emphasis on the prime prospect and geographic sales analysis. The study focuses on impact of the advertisements, the perception, purchasing behavior and product preference of the respondents. The sponsors too need to know how well their product had reached the audience. The notion is that customers should make a purchase rather than to have a desire. This study is opted in order to understand customer’s perception on the product and advertisement's nature.
Business Analytics: Challenges and Innovations for the Modern Enterprise
Authors: Sankar Ganesh R. , Sai Sagidya R.
Published: June 2024

Business analytics has significantly improved in recent years, providing better insights from operational data stored in transactional systems. Recent years have witnessed significant advancements in business analytics, particularly in extracting insights from operational data stored in transactional systems. E-commerce data analysis stands out as a prime example, integrating clickstream records with demographic and behavioural data to offer valuable insights. However, despite these advances, business users encounter challenges in leveraging data for decision-making. These include reducing the cycle time of data collection and analysis, minimizing the expertise needed for analysis, defining clear business goals, collecting relevant data, disseminating analysis results, integrating data from diverse sources, and optimizing applications for specific industries. Emerging trends focus on virtualization, incorporating industry-specific knowledge, and utilizing wireless devices for accessing analytical information.
Family strengthening, for all?
Authors: Fernandez Silvia Eugenia , González de Vicel Mariela
Published: June 2024

By means of the epistemology of intersectionality, three categories are brought together and questioned in the implementation of public policies for family strengthening in the child protection system: childhood, gender and disability. Women with disabilities, considered strangers to traditional hegemonic and patriarchal mandates, challenge the exercise of motherhood under criteria that are overvalued and demanded compared to women with psychosocial or intellectual disabilities. They challenge the prevailing mandate of hegemonic motherhood, which does not conceive of other designs for the exercise of the constitutional and conventional right to family life. States have the obligation to design support systems (arts. 12 and 19 CRPD) so that women with disabilities are not separated from their children because of their disability. Children and adolescents have the right not to be discriminated against because of the condition/situation of their parents (art. 2 CRC) and to be raised by them (art. 9). Support systems should be effective public policies for strengthening families so that children can remain in the care of their mothers in accordance with their best interests and so that mothers can exercise their maternity on an equal footing with other persons, as mandated by the Constitution.
ОСНОВНІ ПІДХОДИ У ПІДГОТОВЦІ МАЙБУТНІХ ПЕДАГОГІВ ДО ПРОФІЛАКТИКИ ІНФОРМАЦІЙНОГО НАСИЛЬСТВА
Authors: Глінчук Юлія
Published: June 2024

Анотація. Актуалізується проблема інформаційного насильства, як така, що постійно видозмінюється та стрімко поширюється. Підкреслюється, що масштабність і соціальна значущість цієї проблеми вимагає відповідного врахування у процесі фахової підготовки майбутніх педагогів. Звертається увага на те, що в сучасних умовах інформаційне насильство спрямовується на різні категорії населення, зокрема, безпосередньо на здобувачів освіти та педагогів.
На основі теоретичного аналізу стверджується, що в науковій спільноті необхідність підготовки майбутніх педагогів до профілактики інформаційного насильства не викликає сумнівів. Проте означена проблема є недостатньо дослідженою. Наводиться авторська позиція, яка полягає в тому, що  підготовка майбутніх педагогів до профілактики інформаційного насильства не може бути окремим, фрагментарним завданням, а повинна здійснюватися в сукупності різноманітних підходів.
На основі врахування особливостей феномену інформаційного насильства та специфіки освітньо-виховного процесу в закладах вищої освіти, обґрунтовується необхідність застосування компетентнісного, системного, міждисциплінарного, діяльнісного, особистісно орієнтованого, аксіологічного, праксеологічного, креативного та ризик-орієнтованого підходів у підготовці майбутніх педагогів до його профілактики.
Ключові слова: інформаційне насильство, майбутні педагоги, профілактика, основні підходи, освітньо-виховна діяльність.