bluuebunny/crossref_metadata_2025 huggingface dataset:
Prospective Study on the Influence of Occupational Hand Protection Products on the Efficacy of Hand Disinfection
Authors: Metzger Magdalena , Manhartseder Stefan , Krausgruber Leonie , Wagner Carina , Frank Sara , Reisner Rosmarie , Ehling-Schulz Monika , Grillari Johannes , Hosemann Roswitha , Dungel Peter
Published: March 2024

Background: To prevent occupational skin diseases, employees are instructed to periodically apply hand protection products as a barrier to protect their hands from water, cleaning agents or other irritants. The aim of this work was to investigate whether bacteria present on the skin at the time of protection product application are enclosed underneath this protective layer, if they can be transferred to other surfaces and if a standard isopropanol-based skin disinfectant can nonetheless reduce the bacterial burden. Methods: This prospective study was conducted in human volunteers based on the European Standard (EN 1500) to assess the burden of microorganisms before and after the application of various protection product formulations and subsequent hand disinfection. Results: All protection products, with the exception of alcohol-based gels, enclosed bacteria underneath a lipid layer which could be transferred onto other surfaces. Still, the hand disinfectant efficiently reduced the bacteria burden. Discussion: In occupations where proper hand hygiene is vital, alcohol-based gels might be the best option for the protection of the skin barrier as well as for reducing the contamination risk. Conclusion: An alcohol-based disinfection agent can dissolve the lipid film of protection products following the standard protocol for hygienic hand disinfection.
Incremental Value of Biventricular Strain in Patients with Severe Aortic Stenosis
Authors: Sarrazyn Camille , Galloo Xavier , Meucci Maria Chiara , Butcher Steele C. , Hirsawa Kensuke , Myagmardorj Rinchyenkhand , van der Kley Frank , De Backer Tine , Bax Jeroen J. , Ajmone Marsan Nina
Published: March 2024

(1) Background: Left ventricular global longitudinal (LVGLS) and right ventricular free wall strain (RVFWS) demonstrated separate prognostic values in patients with severe aortic stenosis (AS). However, studies evaluating the combined assessment of LVGLS and RVFWS have shown contradictory results. This study explored the prognostic value of combining LVGLS and RVFWS in a large group of severe AS patients referred for transcatheter aortic valve implantation. (2) Methods: Patients were classified into three groups: preserved (LVGLS ≥ 15% AND RVFWS > 20%), single-ventricle impaired (LVGLS < 15% OR RVFWS ≤ 20%), or biventricular-impaired strain group (LVGLS < 15% AND RVFWS ≤ 20%). The cut-off values were based on previously published data and spline analyses. The endpoint was all-cause mortality. (3) Results: Of the 712 patients included (age 80 ± 7 years, 53% men), 248 (35%) died. The single-ventricle impaired and biventricular-impaired (vs. preserved) strain groups showed significantly lower 5-year survival rates (68% and 55% vs. 77%, respectively, p < 0.001). Through multivariable analysis, single-ventricle impaired (HR 1.762; 95% CI: 1.114–2.788; p = 0.015) and biventricular-impaired strain groups (HR 1.920; 95% CI: 1.134–3.250; p = 0.015) were independently associated with all-cause mortality. These findings were confirmed with a sensitivity analysis in patients with preserved LV ejection fraction. (4) Conclusions: In patients with severe AS, biventricular strain allows better risk stratification, even if LV ejection fraction is preserved.
Early Atherosclerosis in Familial Hypercholesterolemia Patients: Significance of Vascular Markers for Risk Stratification
Authors: Aliosaitiene Urte , Petrulioniene Zaneta , Rinkuniene Egidija , Mainelis Antanas , Barysiene Jurate , Smailyte Urte , Sileikiene Vaida , Laucevicius Aleksandras
Published: March 2024

BACKGROUND: Familial hypercholesterolemia (FH) is a genetic disorder that manifests as impaired low-density lipoprotein cholesterol (LDL-C) metabolism, resulting in lifelong exposure to high cholesterol levels and increased risk of cardiovascular disease (CVD). There is heterogeneity in cardiovascular risk for FH patients, so risk stratification is of utmost importance. The aim of this study was to evaluate the impact of increases in LDL-C and the impact of other CVD risk factors on vascular markers in the FH patient population. METHODS: A total of 428 patients were included in this study and divided into two groups according to age: ≤40 years in the first group and ≥41 years in the second group. Vascular markers of atherosclerosis included the common carotid artery (CCA) intima–media thickness (IMT), pulse wave velocity (PWV), flow-mediated dilation (FMD), ankle–brachial index (ABI), and cardio-vascular index (CAVI). The influence of traditional CVD risk factors on atherosclerotic changes in vascular markers was analyzed. RESULTS: A statistically significant difference in IMT was detected between the same sex and different age groups (p < 0.001), whereas no significant difference was detected between the sexes within each age group. In the ≤40-year-old group, the mean IMT among males was 612.5 μm (±88.2) and that among females was 580.6 μm (±77.7) (p > 0.05); in the ≥41-year-old group, the mean IMT was 697.4 μm (±138.4) for males and 700.3 μm (±114.4) for females (p > 0.05). Higher LDL-C was associated with greater IMT (r = 0.405; p = 0.009) in the younger age group (≤40 years); however, in the older age group (≥41 years), this correlation was not evident (r = −0.07; p = 0.596). Carotid plaque formation was more common among males (OR = 2.2; 95% CI: 1.2–4.0) and hypertensive patients (OR = 2.7; 95% CI: 1.6–4.7). Age was a mildly significant risk factor for increased ABI (β = 0.13, p < 0.05). FMD was found to be impaired for all patients, and no risk factors were shown to have further influence. Age was a significant risk factor for increased arterial stiffness, as measured by both the CAVI and PWV. Conclusions: Although vascular markers of atherosclerosis may provide a unique and valuable way to evaluate cardiovascular risk, the results of this study show that only increased IM thickness could be beneficial for risk stratification in young FH patients, whereas other vascular markers of atherosclerosis would be excessive, as they do not provide merit in risk evaluation in this population.
Identifying the Climatic and Anthropogenic Impact on Vegetation Surrounding the Natural Springs of the Arava Valley Using Remote Sensing Methods
Authors: Meroz Ariel Mordechai , Babad Avshalom , Levin Noam
Published: March 2024

Natural springs, recognized as biodiversity hotspots and keystone ecosystems, exert positive ecological influences beyond their immediate extent, particularly in dryland environments. The water feeding these springs, largely governed by natural climatic conditions, is susceptible to anthropogenic impacts. The objective of this study was to determine the factors that cause fluctuations in water availability to springs of the hyper-arid Arava Valley (Israel/Jordan). Using the Standard Precipitation Index, we statistically classified the historical record of yearly rainfall for the past four decades into clusters of dry and wet sub-periods. We assessed changes in vegetation cover around the springs using the Landsat-derived Normalized Difference Vegetation Index (NDVI) for each sub-period. To assess the anthropogenic effects, we examined the correlations between vegetation cover, water extraction from the aquifer, and the status of adjacent agricultural plots that share a hydrological connection with the springs. Our findings revealed fluctuations between wet and dry sub-periods over the last four decades. We observed high responsiveness of vegetation cover around the springs to these fluctuating sub-periods. Of the 25 studied springs, 12 were directly influenced by anthropogenic factors—7 experienced a decline in vegetation, which we attributed to water extraction from the aquifers, while vegetation increase in 5 springs was attributed to water seepage from agricultural areas upstream. In conclusion, addressing vital habitats such as natural springs in arid drylands requires a holistic approach that integrates long-term climatic, ecological, and anthropogenic observations.
Spatiotemporal Evolution and Mechanisms of Habitat Quality in Nature Reserve Land: A Case Study of 18 Nature Reserves in Hubei Province
Authors: Lin Ying , Zhang Xian , Zhu He , Li Runtian
Published: March 2024

The contribution of biodiversity to the global economy, human survival, and welfare has been significantly increasing. However, nature reserves have long been subject to a sequence of ecological environmental issues caused by human activities. Therefore, quantitatively assessing the spatiotemporal evolution characteristics of habitat quality due to land use changes and exploring the mechanisms of potential influencing factors can provide a scientific basis for the stable and sustainable development of natural ecosystems. This study aims to analyze 18 nature reserves in Hubei Province to identify the spatiotemporal evolution of habitat quality within these reserves and to explore the influence of multifactorial dynamics from nature, humanity, and policy on this evolution. Initially, the study utilizes land use transition matrices and land use dynamic degree methods to understand the spatiotemporal characteristics of land conversion within the study area. Subsequently, it analyzes the spatiotemporal changes in habitat quality from 2000–2020 based on the InVEST model and tools like spatial autocorrelation (Moran’s I) in ArcGIS. Finally, 14 potential influencing factors are selected from natural environment, socio-human, and policy regulation aspects and analyzed in the Geodetector software to understand the factors affecting the spatiotemporal evolution of habitat quality. The results show that, during the study period, the land area of 18 nature reserves in Hubei Province increased from 2000 to 2020, while the water area decreased. There were slight increases in farmland, construction land, and forest land, with significant decreases in grassland and water areas. This reveals the erosion of water bodies due to artificial lake filling during rapid urbanization, leading to a decline in overall habitat quality within the reserves and a gradual increase in spatial heterogeneity. Among the influencing factors, single-factor influences such as land use intensity and distance to county roads and slopes have a strong negative linear relationship with habitat quality, with land use intensity being the most significant human activity factor. The interaction strength among different types of influencing factors in the bivariate interaction detection results is ranked as follows: the interaction between natural geographical and socio-human factors > the interaction within socio-human factors > the interaction within natural geographical factors. This study has diverged from the past focus on the selection of a single continuous natural reserve as the empirical subject. Consequently, it allows for an integrated analysis of physical geographical dimensions such as locational topography with socio-cultural and policy elements including land use and transportation facilities, thereby facilitating a multifactorial assessment of the interactive impacts on habitat quality.
The Use of Silence in Conversation among Women in Spanish: An Expression of Feminine Conversational Style?
Authors: Méndez-Guerrero Beatriz , Camargo-Fernández Laura
Published: March 2024

Human communication is a multimodal phenomenon that involves the combined use of verbal and non-verbal signs. It is estimated that non-verbal signs, especially paralinguistic and kinesic ones, have a significant impact on message production. Silence in Spanish has been described as a plurifunctional communicative resource whose meanings vary depending on contextual, social, and cultural factors. The pragmatic and sociolinguistic nature of this phenomenon calls for examining each case considering the context, the social variables, and the relationship between participants. The aim of this study is to determine the use of silence in Spanish by young women. To achieve this, a corpus of 9 h of spontaneous conversations among six young Spanish university women (1.5 h per participant) was analyzed. The analysis has allowed identifying, first, a series of communicative functions of silence produced by the participants. A relationship between the duration of silence and its communicative function has also been established. Finally, differences in the use of silence by the participants have been found, determined by the interlocutor (male/female), which confirms that women use silence as a basic interactive strategy differently when talking with women and when they do so with men.
Power Factor Modelling and Prediction at the Hot Rolling Mills’ Power Supply Using Machine Learning Algorithms
Authors: Panoiu Manuela , Panoiu Caius , Ivascanu Petru
Published: March 2024

The power supply is crucial in the present day due to the negative impacts of poor power quality on the electric grid. In this research, we employed deep learning methods to investigate the power factor, which is a significant indicator of power quality. A multi-step forecast was developed for the power factor in the power supply installation of a hot rolling mill, extending beyond the horizontal line. This was conducted using data obtained from the respective electrical supply system. The forecast was developed via hybrid RNN (recurrent neural networks) incorporating LSTM (long short-term memory) and GRU (gated recurrent unit) layers. This research utilized hybrid recurrent neural network designs with deep learning methods to build several power factor models. These layers have advantages for time series forecasting. After conducting time series forecasting, qualitative indicators of the prediction were identified, including the sMAPE (Symmetric Mean Absolute Percentage Error) and regression coefficient. In this paper, the authors examined the quality of applied models and forecasts utilizing these indicators, both in the short term and long term.
Gradient Ricci Solitons on Spacelike Hypersurfaces of Lorentzian Manifolds Admitting a Closed Conformal Timelike Vector Field
Authors: Alshehri Norah , Guediri Mohammed
Published: March 2024

In this article, we investigate Ricci solitons occurring on spacelike hypersurfaces of Einstein Lorentzian manifolds. We give the necessary and sufficient conditions for a spacelike hypersurface of a Lorentzian manifold, equipped with a closed conformal timelike vector field ξ¯, to be a gradient Ricci soliton having its potential function as the inner product of ξ¯ and the timelike unit normal vector field to the hypersurface. Moreover, when the ambient manifold is Einstein and the hypersurface is compact, we establish that, under certain straightforward conditions, the hypersurface is an extrinsic sphere, that is, a totally umbilical hypersurface with a non-zero constant mean curvature. In particular, if the ambient Lorentzian manifold has a constant sectional curvature, we show that the compact spacelike hypersurface is essentially a round sphere.
Calculating Insurance Claim Reserves with an Intuitionistic Fuzzy Chain-Ladder Method
Authors: Andrés-Sánchez Jorge De
Published: March 2024

Estimating loss reserves is a crucial activity for non-life insurance companies. It involves adjusting the expected evolution of claims over different periods of active policies and their fluctuations. The chain-ladder (CL) technique is recognized as one of the most effective methods for calculating claim reserves in this context. It has become a benchmark within the insurance sector for predicting loss reserves and has been adapted to estimate variability margins. This variability has been addressed through both stochastic and possibilistic analyses. This study adopts the latter approach, proposing the use of the CL framework combined with intuitionistic fuzzy numbers (IFNs). While modeling with fuzzy numbers (FNs) introduces only epistemic uncertainty, employing IFNs allows for the representation of bipolar data regarding the feasible and infeasible values of loss reserves. In short, this paper presents an extension of the chain-ladder technique that estimates the parameters governing claim development through intuitionistic fuzzy regression, such as symmetric triangular IFNs. Additionally, it compares the results obtained with this method with those derived from the stochastic chain ladder by England and Verrall.
Experimental and Computational Methods to Assess Central Nervous System Penetration of Small Molecules
Authors: Gupta Mayuri , Feng Jun , Bhisetti Govinda
Published: March 2024

In CNS drug discovery, the estimation of brain exposure to lead compounds is critical for their optimization. Compounds need to cross the blood–brain barrier (BBB) to reach the pharmacological targets in the CNS. The BBB is a complex system involving passive and active mechanisms of transport and efflux transporters such as P-glycoproteins (P-gp) and breast cancer resistance protein (BCRP), which play an essential role in CNS penetration of small molecules. Several in vivo, in vitro, and in silico methods are available to estimate human brain penetration. Preclinical species are used as in vivo models to understand unbound brain exposure by deriving the Kp,uu parameter and the brain/plasma ratio of exposure corrected with the plasma and brain free fraction. The MDCK-mdr1 (Madin Darby canine kidney cells transfected with the MDR1 gene encoding for the human P-gp) assay is the commonly used in vitro assay to estimate compound permeability and human efflux. The in silico methods to predict brain exposure, such as CNS MPO, CNS BBB scores, and various machine learning models, help save costs and speed up compound discovery and optimization at all stages. These methods enable the screening of virtual compounds, building of a CNS penetrable compounds library, and optimization of lead molecules for CNS penetration. Therefore, it is crucial to understand the reliability and ability of these methods to predict CNS penetration. We review the in silico, in vitro, and in vivo data and their correlation with each other, as well as assess published experimental and computational approaches to predict the BBB penetrability of compounds.
Correction: Wu et al. A 1083 nm Narrow-Linewidth DFB Semiconductor Laser for Quantum Magnetometry. Photonics 2023, 10, 934
Authors: Wu Mengying , Yu Haiyang , Wang Wenyu , Li Shaojie , Cao Yulian , Liu Jianguo
Published: March 2024

Additional Affiliations [...]
Tensile and Interfacial Mechanical Properties for Single Aramid III Fibers under Dynamic Loading
Authors: Liu Fu , Li Fangfang , Li Xuelei , Tian Haobin , Lei Xudong
Published: March 2024

In this study, the traditional mini split Hopkinson tension bar (SHTB) was enhanced for the dynamic mechanical performance testing of single fiber/resin interface of composites. Single Aramid III fibers were modified using a polyamine modification treatment. Quasi-static and dynamic tensile tests of modified single Aramid III fibers were conducted using an electronic tensile testing machine and mini SHTB. The test results indicated that the surface modification employing the Catechol-Tetraethylenepentamine (Cat-TEPA) approach had a negligible effect on the tensile mechanical properties of single Aramid III fibers. The microdroplet method was introduced to measure the dynamic interfacial shear strength (IFSS) of Aramid III fiber/waterborne polyurethane resin using a mini SHTB. The dynamic shear test results revealed an increase in the dynamic shear strength of the modified Aramid III fiber/resin interface from 36.16 MPa to 41.51 MPa. Furthermore, the Scanning Electron Microscope (SEM) photography of the modified single Aramid III fiber after debonding exhibited regular grid structures on the debonding area, which can prevent debonding between the single fiber and the microdroplet, thereby enhancing interfacial shear performance.
Numerical Simulation Study on the Thermal Efficiency of Hot Blast Stoves
Authors: Zhang Qiuchen , Tang Yu , Wang Lupeng
Published: March 2024

Thermal efficiency is one of the important indices used to evaluate the operational energy efficiency of hot blast stoves. In this study, a method for calculating the thermal efficiency of hot blast stoves was developed based on simulation results. The working process of top combustion hot blast stoves was numerically simulated through the established 3D fluid flow heat transfer model. The system thermal efficiency of hot blast stoves was calculated according to the simulation data, referring to the Chinese national standard, “measurement and calculation method of the heat balance of blast furnace hot blast stove” (GB/T 32287-2015). In particular, a “segmented calculation and accumulate by time” method was proposed based on the air supply curve to more precisely calculate the heat carried away by the hot blast. The results indicate that when the burning air supply cycles increased from 120 to 240 min, the thermal efficiency showed a trend of first decreasing and then increasing, with the value ranging between 70.39% and 72.48%. The reason for the decrease in thermal efficiency at a burning cycle of 150 min is explained based on heat transfer theory combined with the structural characteristics of hot blast stoves. This study provides a convenient and effective method for calculating the thermal efficiency of hot blast stoves, which helps us to evaluate and improve the operating process of hot blast stoves.
Synthesis of Activated Biochar from the Bark of Moringa oleifera for Adsorption of the Drug Metronidazole Present in Aqueous Medium
Authors: da Silva Caio Henrique , de Araújo Thiago Peixoto , de Souza Alexandre Teixeira , Scaliante Mara Heloisa Neves Olsen , Martins Moreira Wardleison
Published: March 2024

Moringa oleifera seeds, in particular, have been used for water and wastewater treatment due to their ability to remove many pollutants. Therefore, the present work aims to produce bioadsorbent materials by pyrolysis using biomass from the seed shell of Moringa oleifera to remove the drug Metronidazole present in an aqueous medium. The biochars produced were activated with phosphoric acid (H3PO4) and potassium hydroxide (KOH) to compare the material’s modifications and adsorption mechanisms with the biochar in nature (BCM). The biochars were characterized by Point-of-zero charges (pHpzc), Scanning Electron Microscopy (SEM), X-ray Diffractometry (XRD), Fourier transform infrared spectroscopy (FTIR), and Raman spectroscopy. The studies showed that the adsorption behavior varied with the pH of the solution. The adsorption study verified that the activated biochars presented better results, so in the kinetic study, the adsorption behavior occurred rapidly in the initial minutes until stabilizing within 3–4 h, better fitting the Elovich model. Isotherm models were tested, where the experimental data were adjusted to the Sips model, with an adsorption capacity of 18 mg g−1 for acid-activated biochar (BCH3PO4) and KOH-activated biochar (BCKOH) with 366.49 mg g−1. The results showed that biochars, especially BCKOH, become viable for production because they are a low-cost material and highly effective in removing drugs.
Synergistic Effect of Plasma-Activated Water with Micro/Nanobubbles, Ultraviolet Photolysis, and Ultrasonication on Enhanced Escherichia coli Inactivation in Chicken Meat
Authors: Moonsub Kochakon , Seesuriyachan Phisit , Boonyawan Dheerawan , Wattanutchariya Wassanai
Published: March 2024

The use of integrated plasma-activated water (PAW) with micro/nanobubbles (MNBs), ultraviolet (UV) photolysis, and ultrasonication (US) for the synergistic efficiency of Escherichia coli inactivation in chicken meat was investigated. A 2k factorial design was employed to optimize the combined treatment parameters for pathogen disinfection in Design of Experiments (DOE) techniques. Its effectiveness was evaluated based on electrical conductivity (EC), oxidation–reduction potential (ORP), hydrogen peroxide (H2O2) concentration, and E. coli inactivation. The most significant impact on E. coli reduction was observed for MNBs, UV treatment time, and their interaction (MNBs and UV). Optimal E. coli inactivation (6 log10 CFU/mL reduction) was achieved by combining PAW with MNB and UV for 10 and 20 min, respectively. Integrating PAW with appropriate supplementary technologies enhanced E. coli inactivation by 97% compared to PAW alone. This novel approach provides a promising alternative for pathogen control in chicken meat, potentially improving food safety and shelf life in the poultry industry.
Energy Optimization through Heat and Power Integration on a Chlorobenzenes Production Plant
Authors: Alqahtani Nawaf S. , Alrefai Turki A. , Almutlaq Abdulaziz M. , Alzahrani Saeed M. , Abasaeed Ahmed E.
Published: March 2024

In this research work, an attempt has been made to address the heat and power integration opportunities for the process of the chlorination of benzene. This process produces a mixture of chlorobenzenes. To increase the production of the dichlorobenzene portion, the ratio of chlorine to benzene is typically 2:1. A process simulation model is designed using Aspen Plus for the production of 70,000 tons/year of dichlorobenzene via the reaction of liquid benzene with gaseous chlorine. Energy analysis is performed for the effective utilization of the utilities by networking the heat exchangers. This modification reduced the process heating and cooling requirements by 56.7% and 12.7%, respectively, and a reduction by 35.4% in the operating costs is achieved, while the annualized fixed cost increased by 9.6%; these changes resulted in savings in the total annual costs of about 10.9%.
Unveiling Outperformance: A Portfolio Analysis of Top AI-Related Stocks against IT Indices and Robotics ETFs
Authors: Trabelsi Karoui Ali , Sayari Sonia , Dammak Wael , Jeribi Ahmed
Published: March 2024

In this study, we delve into the financial market to compare the performance of prominent AI and robotics-related stocks against traditional IT indices, such as the Nasdaq, and specialized AI and robotics ETFs. We evaluate the role of these stocks in diversifying portfolios, analyzing their return potential and risk profiles. Our analysis includes various investment scenarios, focusing on common AI-related stocks in the United States. We explore the influence of risk management strategies, ranging from “buy and hold” to daily rebalancing, on AI stock portfolios. This involves investigating long-term strategies like buy and hold, as well as short-term approaches, such as daily rebalancing. Our findings, covering the period from 30 April 2021, to 15 September 2023, show that AI-related stocks have not only outperformed in recent years but also highlight the growing “AI bubble” and the increasing significance of AI in investment decisions. The study reveals that these stocks have delivered superior performance, as indicated by metrics like Sharpe and Treynor ratios, providing insights into market trends and financial returns in the technology and robotics sectors. The results are particularly relevant for investors and traders in the AI sector, offering a balanced view of potential returns against the risks in this rapidly evolving market. This paper adds to the financial market literature by demonstrating that investing in emerging trends, such as AI, can be more advantageous in the short term compared to traditional markets like the Nasdaq.
Scales for assessing neurological disorders and degenerative changes in the cervical spine. Literature review
Authors:   Irkutsk City Clinical Hospital No. 3, Samoylov E.P. ,   3Irkutsk State Medical Academy of Continuing Education - Branch of the Federal State Budgetary Educational Institution of Continuing Professional Education “Russian Medical Academy of Continuous Professional Education” of the Ministry of Health of Russia, Semenov A.V. ,   Irkutsk City Clinical Hospital No. 3; Irkutsk Scientific Center of Surgery and Traumatology; 3Irkutsk State Medical Academy of Continuing Education - Branch of the Federal State Budgetary Educational Institution of Continuing Professional Education “Russian Medical Academy of Continuous Professional Education” of the Ministry of Health of Russia, Sorokovikov V.A. ,   Irkutsk Scientific Center of Surgery and Traumatology; 3Irkutsk State Medical Academy of Continuing Education - Branch of the Federal State Budgetary Educational Institution of Continuing Professional Education “Russian Medical Academy of Continuous Professional Education” of the Ministry of Health of Russia, Larionov S.N. ,   Irkutsk Scientific Center of Surgery and Traumatology
Published: March 2024

More than sixty scales have been developed for the diagnosis and treatment of degenerative pathology of the cervical spine from the perspective of neurological syndromes. The use of most of these in clinical practice is limited. The purpose of this study is to highlight the most popular scales for assessing degenerative changes of the cervical spine from the perspective of neurological syndromes in the diagnosis and determination of treatment tactics for single-segment stenosis of the spinal canal at the cervical level. The current clinical guidelines “Degenerative Spine Diseases” 2021 use the Neck Disability Index, the Visual Analog Scale, and the Frankel Grade among all scales. MEDLINE (PubMed) and Google Scholar were searched from 1972 to 2023 using the key words “cervical spine degeneration”. The initial search identified more than 13,000 articles. This review included 52 studies in which the analysis of clinical and neurological data was carried out using scoring scales for assessing neurological syndromes and functional status in degenerative spinal stenoses at the cervical level. The validity, reliability, and applicability of the scales in clinical practice were analyzed and compared. Based on the analysis of literature data, the most rational scales to use from the standpoint of validity, reliability, and time consumption are the Visual Analog Scale for pain assessment, the Neck Disability Index for assessing cervical radiculopathy, the European Myelopathy Score to assess cervical myelopathy, the Neck Pain and Disability Scale to assess functional outcomes, and the Hospital Anxiet y and Depression Scale for mental status assessment.
ASUHAN KEBIDANAN KOMPREHENSIF PADA NY. F DI UPT PUSKESMAS BALUBUR LIMBANGAN KABUPATEN GARUT
Authors: Amalia Dwi Nastiti Risna , Sriwenda Djudju
Published: March 2024

Asuhan kebidanan komprehensif adalah asuhan yang diberikan secara menyeluruh dengan adanya pemeriksaan sederhana dan konseling asuhan kebidanan yang mencakup pemeriksaan berkesinambungan diantaranya asuhan kehamilan, persalinan, bayi baru lahir, nifas dan masa antara. Tujuan dari asuhan ini yaitu asuhan komprehensif pada Ny. F dan By. Ny.F dengan menerapkan manajemen kebidanan 7 langkah Varney.

Metode yang digunakan dalam laporan tugas akhir ini adalah studi kasus dengan responden Ny. F dan By. Ny. F, waktu pelaksanaan asuhan daru usia kehamilan 37 minggu sampai 37 hari postpartum, mulai dari bulan Januari - Maret.

Berdasarkan hasil asuhan yang telah dilakukan, pada kehamilan ditemukan masalah yaitu kebutuhan hidrasi yang kurang dan kontraksi palsu atau Braxton hicks. Masalah dapat teratasi dengan konseling mengenai kebutuhan nutrisi dan hidrasi pada ibu hamil dan menjelaskan ketidaknyamanan pada trimester tiga. Pada persalinan tidak ditemukan masalah. Pada nifas ditemukan kesenjangan mengenai pemberian antibiotik.

Berdasarkan asuhan yang telah dilakukan oleh penulis, pemberian asuhan kebidanan komprehensif sangat penting dilakukan untuk meningkatkan kesehatan ibu maupun bayi.
Malformação dos ovos – casca mole: revisão de literatura
Authors: Santos João Victor Soler dos , Rosa Gilneia da , Borges Gabriely Amaro de Oliveira , Lima Gabriela Geraldo de , Mariotto Lucas Augusto , Rocatto Maria Eduarda Teixeira , Bezerra Karolaine , Souza Ana Carolina de , Merlini Luiz Sérgio
Published: March 2024

A ocorrência de ovos quebrados depende diretamente da qualidade da casca. É importante considerar que o problema de ovos quebrados não se deve a um único fator, mas sim a uma combinação de fatores. Defeitos de casca, irregularidades no formato da casca, textura e superfície são comumente observados durante um ciclo regular de postura e as causas são várias. A incidência de ovos descartados ainda representa uma importante fonte de prejuízo econômico à indústria em razão da perda desses ovos e necessidade de processamento adicional. É possível obter significativa redução no número de ovos perdidos pela qualidade inferior da casca, focando-se em uma nutrição adequada, no controle de doenças do plantel, em boas práticas de produção e no uso de linhagens de aves que produzem ovos com melhor qualidade de casca.
Analisis Pengaruh Profitabilitas, Ukuran Perusahaan, Leverage dan Kepemilikan Saham Publik Terhadap Pengungkapan Tanggung Jawab Sosial Perusahaan (Studi Kasus Pada Perusahaan Manufaktur Tahun 2017-2019)
Authors: . Riska , . Luhgiatno , . Mohklas
Published: March 2024

This study aims to analyze the effect of profitability, firm size, leverage and public share ownership on the disclosure of social responsibility. The sample in this study amounted to 165 Manufacturing Companies listed on the Indonesia Stock Exchange for the period 2017-2019 which were selected using purposive sampling. Methods of data collection is done through the method of documentation. This study uses multiple regression analysis. The results of this study indicate that profitability, leverage and public share ownership have no effect on CSR disclosure, while company size has a negative effect on CSR disclosure.Keywords: Profitability, Leverage, Company Size, Public Share Ownership, and CSR
ANALISIS PENGARUH PENGALAMAN AUDIT, SKEPTISME PROFESIONAL, RED FLAGS, DAN TEKANAN ANGGARAN WAKTU TERHADAP KEMAMPUAN AUDITOR DALAM MENDETEKSI KECURANGAN
Authors: . Eriyanti , . Widaryanti , . Mohklas
Published: March 2024

This study aims to analyze the effect of audit experience, professional skepticism, red flags and time budget pressure on the ability to detect fraud in KAP Semarang City. The population in this study were auditors at KAP in Semarang City. Data collection was carried out using convenience sampling method and the number of respondents was 64 respondents. The type of data used is primary data. This study uses a questionnaire in data collection. The test technique used is validity test, reliability test, classical assumption test includes normality test, multicollinearity test, and heteroscedasticity test. Hypothesis testing in this study uses multiple linear regression analysis and hypothesis testing with the help of SPSS version 21. The results of this study indicate that audit experience, professional skepticism, red flags have a positive and significant effect on the ability to detect fraud. Meanwhile, time budget pressure does not have a positive effect on the ability to detect fraud.Keywords: Audit Experience, Professional Skepticism, Red Flags, Time Budget Pressure and Fraud Detection Ability.
ANALISIS PENGARUH TRANSPARANSI, AKUNTABILITAS DAN PARTISIPASI MASYARAKAT TERHADAP PENGELOLAAN ALOKASI DANA DESA
Authors: Aditya Wahyu , . Widaryanti
Published: March 2024

This study aims to analyze the effect of Transparency, Accountability, and Community Participation on Village Fund Allocation. The independent variables used in this study are Transparency, Accountability, and Community Participation. The dependent variable in this study is the Village Fund Allocation Management. In this study, primary data was used from the distribution of questionnaires. The population in this study are people who are in the Kaloran sub-district. The sampling technique used is purposive sampling and the number of samples is 172 questionnaires. The data analysis method used the SPSS 26 program. The results of this study indicate that transparency has a positive effect on the management of village fund allocations. Accountability has a positive effect on the Management of Village Fund Allocation. Community participation has a positive effect on the Management of Village Fund Allocation.Keywords: Transparency, Accountability, Community Participation, Village Fund Allocation Management.
PENGARUH TRANSAKSI PIHAK-PIHAK HUBUNGAN ISTIMEWA TERHADAP KINERJA PERUSAHAAN
Authors: Savitri Maulita Prima , Luhgiatno Luhgiatno
Published: March 2024

This study aims to examine sales, purchases, accounts receivable and payable have an effect on company performance. The population in this study are manufacturing companies listed on the IDX in 2014-2018. Sampling was carried out using purposive sampling method with the number of companies as many as 61 companies and a sample size of 60. The type of data used in this study is secondary data. The data collection method is done through a documentation approach. The data analysis technique used descriptive statistical analysis, classical assumption test, and multiple linear regression analysis with the help of SPSS. The results of this study indicate that sales to special parties have an effect on company performance, purchases to special parties have an effect on company performance, receivables to special parties have an effect on company performance and payable to special parties have an effect on company performance.Keywords: sales, purchases, accounts payable, receivables and company performance.
ANALISIS PENGARUH MOTIVASI KONSUMEN, PERSEPSI KUALITAS DAN SIKAP KONSUMEN TERHADAP KEPUTUSAN PEMBELIAN PRODUK EIGER DI KOTA SEMARANG
Authors: Kurniawati Desi , Wahyuningsih Susanti
Published: March 2024

This study aims to determine whether Consumer Motivation, Perceived Quality, and Consumer Attitudes influence the Eiger Product Purchase Decision in Semarang City. The population in this study are Eiger Product Users in Semarang City. Sampling was carried out using purposive sampling method and the number of samples was 96 respondents. The type of data used is primary data. This study uses a questionnaire in collecting data. The test techniques used are validity test, reliability test, classic assumption test including normality test, multicollinearity test, and heteroscedasticity test. Hypothesis testing in this study used multiple linear regression analysis and hypothesis testing with the help of SPSS version 23. The results of this study indicate that Consumer Motivation has a significant positive effect on Purchasing Decisions. This is evidenced by a significance level of 0.00 <0.05 while tcount is 4.918 > 1.66159, it can be concluded that H1 is accepted. Perceived quality does not affect purchasing decisions. This is evidenced by the significance level of 0.520 > 0.05 while the tcount is 0.645 <1.66159, it can be concluded that H2 is rejected. Consumer Attitude has a significant positive effect on Purchasing Decisions. This is evidenced by a significance level of 0.00 <0.05 while tcount is 5.071 > 1.66159, it can be concluded that H3 is accepted. Consumer Motivation, Perceived Quality, and Consumer Attitudes simultaneously have a significant effect on Purchasing Decisions. This can be seen from the Fcount value which is 74.719 which is smaller than the Ftable value which is 2.70, while with a significance value of 0.000 which is smaller than the significance value below 0.05.Keywords: Consumer Motivation, Perceived Quality, Consumer Attitudes, and Purchase Decisions.
PENGARUH PERSEPSI MANFAAT, PERSEPSI KEMUDAHAN DAN PERSEPSI KEAMANAN TERHADAP PENGGUNA E-WALLET PADA MASYARAKAT DI KOTA SEMARANG
Authors: Harminingtyas Rudika , Susetyarsi Th.
Published: March 2024

This study aims to determine the effect of perceived benefits, perceived convenience, and perceived security on the decision to use e-wallets among people in the city of Semarang. The population in this study are people in the city of Semarang who use the e-wallet application as a transaction tool. The sampling technique used in this study used a snowball and obtained 90 respondents. Data collection method with questionnaires distributed online. The analytical tool in this study is multiple linear regression analysis. The results show that perceived benefits, perceived convenience, and perceived security have a positive and significant effect on the decision to use e-wallet in the people of Semarang City. The perceived security variable has a dominant influence on the decision to use e-wallet. Security is indeed the most important in the decision to use an e-wallet because someone feels safe and protected.Keywords: Perceived Benefit, Perceived Convenience, Perceived Security, E-Wallet
Analysis of technological parameters of blast furnace smelting for the development of predictive models for calculating technical and economic indicators of the process.
Authors: A Selegej , A Mіshalkіn , O Bezshkurenko
Published: March 2024

Goal. To determine the main technological parameters on the basis of which the predictive methodology for calculating the techno-economic indicators of blast furnace smelting should be based. Method. The physico-chemical and technological regularities of the domain process affecting the technical and economic parameters of smelting are considered. It is shown that the temperature range of 600-1000°С should be chosen in the case of developing predictive models of the domain process in the analysis of recovery processes taking into account the heat balance. The results. Determined temperature intervals for the analysis of physical and chemical processes affecting the technical and economic indicators of blast furnace smelting. Reasonable assumptions for the analysis The thermal conditions of the effective flow of reduction processes and their influence on the technological indicators of blast furnace smelting were analyzed. Scientific novelty. The analytical basis for obtaining predictive models for determining changes in technical and economic indicators of blast furnace smelting has been developed. It was established that the distribution of materials in the "dry" zone of the blast furnace has the greatest influence on the course of reduction reactions. Practical significance. The obtained analytical data make it possible to develop an effective model for forecasting changes in technical and economic indicators of blast furnace smelting
Study of the efficiency of partial replacement of natural gas solid fuel for firing iron ore pellets
Authors: D Kovalev , A Vanyukov , O Bezshkurenko , O Dvorkovy
Published: March 2024

Objective. Currently, most pellet mills use natural gas and liquid fuel as a heat carrier. However, given the prospects for
energy development, rapid depletion of oil and gas reserves compared to coal reserves, it should be recognized that
increasing the use of coal will avoid energy crises. To date, circumstances have changed in such a way that the need to
save heat in the production of pellets has become even more urgent. In this work, we investigated the efficiency of
partial replacement of natural gas with solid fuel for firing iron ore pellets. Method. Experimental research in laboratory
and production conditions. Results. The additional amount of heat released as a result of burning part of the solid fuel
and introduced by air from the cooling and oxidation zone of the rolling mills reduced the total consumption of natural
gas consumed by the combustion machine from 3960 - 4360 m3 / h to 3470 - 3710 m3 / h. The temperature of the
coolant in the flow collector has increased from 860 - 870 ° С to 900 - 930 ° С. In the experimental periods, the amount
of calcined return decreased from 20 - 30 t / h to 15 - 20 t / h. At the same time, the hourly productivity of the firing
machine increased from 258.6 t / h to 281 t / h. The specific consumption of natural gas decreased from 16.8 m3 / t of
pellets to 12.3 - 13.1 m3 / t, and from 32.3 - 37.1 kWh / t to 29.3 - 33.8 kWh / t pellets. The strength of the calcined
pellets and the content of the trifle in the finished product has not changed. Scientific novelty. The results of the study
show that when working on pellets containing solid fuel, the temperature in the flow collector increased by 40-70 ° C.
This is the result of oxidation of magnetite in the cooling zone. Practical significance. Saving natural gas when burning
pellets obtained from the charge with the addition of solid fuel. Reducing the specific consumption of natural gas by
increasing the productivity of the incinerator
Hydroacoustic communications in the field of countering underwater robots
Authors:   Admiral Makarov State University of Maritime and Inland Shipping, Martynov V.L. , Nyrkov A.P. , Shimanskaya M.S. , Krechetova E.V. , Shimanskaya G.S.
Published: March 2024

The tasks of countering potential threats in the form of maritime terrorism and ensuring the safety of marine waters play an important role for our country. This article proposes technologies for the use of fiber-optic hydrophones for detecting underwater robots.
Methods for estimating the quantity of information in the context of satisfying the user’s information need
Authors:   Putilov Institute for Informatics and Mathematical Modeling Kola Science Centre of RAS, Vicentiy A.V. ,   Apatity branch of Murmansk Arctic University
Published: March 2024

The paper investigates methods of information quantity estimation to assess the degree of satisfaction of user›s information needs when working with a multisubject GIS. Syntactic, semantic and pragmatic approaches to assessing the quantity and usefulness of information are considered. The results of comparing and evaluating the applicability of different approaches and methods for satisfying the user›s information needs are presented.
ARCHITECTURE AND RELIABILITY MODELS OF HYBRID SENSOR NETWORKS FOR ENVIRONMENTAL AND EMERGENCY MONITORING SYSTEMS
Authors:   M.E. Zhukovsky National Aerospace University ", Skorobohatko S. ,   Kharkiv Aviation Institute,",   Kharkiv, Ukraine, s.skorobogatko@csn.khai.edu, Fesenko H. ,   M.E. Zhukovsky National Aerospace University "Kharkiv Aviation Institute," Kharkiv, Ukraine, h.fesenko@csn.khai.edu, Kharchenko V. ,   M.E. Zhukovsky National Aerospace University "Kharkiv Aviation Institute," Kharkiv, Ukraine, v.kharchenko@csn.khai.edu, Yakovlev S. ,   M.E. Zhukovsky National Aerospace University "Kharkiv Aviation Institute," Kharkiv, Ukraine, svsyak7@gmail.com
Published: March 2024

The authors study the aspects of developing and analyzing the hybrid sensor networks’ operability as subsystems of environmental and emergency monitoring systems for critical infrastructure. The proposed architecture of such a system is based on the technology of edge computing (EC) and combines stationary and mobile components, the first of which is implemented by a ground sensor network (GSN), and the second by a swarm of unmanned aerial vehicles that form a flying EC network. The data collection algorithms, scaling problems, and optimization of the operation of the GSN and monitoring systems in general are analyzed. The reliability models of the GSN in the conditions of failure of one and groups of sensors are developed and investigated. Analytical dependencies of reliability indicators on different sizes of sensor failure clusters and their intensity are obtained. Recommendations for the design and implementation of hybrid sensor networks are given. Keywords: hybrid sensor networks, edge computing, reliability models, multiple failures, environmental monitoring systems, emergency monitoring systems.