bluuebunny/crossref_metadata_2025 huggingface dataset:
Additive Design Mimics the Strength and Architect of Nature
Authors: Obeidi Muhannad Ahmed
Published: March 2023

Abstract: It is believed that the best parts’ design and performance is that which mimics the creation of nature. Palm is a very good example of an extra ordinary tree which must attract the attention of engineers and designers. In contrast with other types of trees, palms have a vascular, jumble, and spongy tissue stem instead of a wooden one. This is the reason why palm trees can with stand strong hurricanes while trees cannot. The stem of a palm is composed of three main parts. Those are the main stem body, the central core, and the leaves growing from the central core in circular and axial patterns along the core. This natural combination tissues of different construction provides an extra-flexibility to the main stem, enhance the relative movement of these components, and as a result enables the palm to bend massively without any catastrophic fracture. This exceptional construction inspired the author to design and manufacture a part which mimics the most public tree at the home country. The model was additively manufactured from 316L, tested for bending with and without heat treatment, and compare with cast part of similar material and dimensions. The aim was always to achieve improved mechanical properties and performance of AM parts with complex geometry.
Wald(um)bau im Zeichen des Klimawandels bei den Bayerischen Staatsforsten
Authors: Höllerl Sebastian , Ettl Rasmus , Faltl Walter
Published: March 2023

Zwangsbedingte Entnahmen gab es in der Forstwirtschaft schon früher. Die Klimaprognosen sowie die in letzter Zeit viel zu häufig auftretenden «Jahrhundertsommer» zeigen jedoch klar, dass ein rascher Waldumbau dringend nötig ist. Die Bayerischen Staatsforsten (BaySF) arbeiten deshalb gezielt und beschleunigt an der Bewältigung der Auswirkungen des Klimawandels. Das Ziel ist ein vielfältig gemischter, strukturierter Wald mit einem hohen Anteil an klimaangepassten Baumarten. Ein zentraler Baustein der Risikovorsorge in der Baumartenmischung ist das 4-Baum-Konzept: Nach Möglichkeit werden mindestens vier (Wirtschafts-)Baumarten in angemessenen Anteilen (mind. 5 %) erhalten oder eingebracht, wovon mindestens drei Baumarten klimatolerant sein müssen. Auch die Vorausverjüngung in Altholzbeständen ist wichtig zur Risikovorsorge. Für die Wahl der geeigneten Baumarten im Klimawandel haben die BaySF gemeinsam mit Forstverwaltung und Wissenschaft eine Vielzahl von Baumarten in vier verschiedene Kategorien eingeteilt. Alternative Baumarten und alternative Herkünfte heimischer Baumarten werden in kleinflächigen Praxisanbauversuchen getestet. Die genetische Herkunft der Baumarten muss zweifelsfrei gesichert sein. Zudem ist die Jagd ein wichtiger Erfolgsfaktor beim Waldumbau.
Immediate effects of lumbar fascia stretching on hamstring flexibility: A randomized clinical trial
Authors: Ruiz Juan Javier Bru , Perez-Cruzado David , Llanes Raúl Pérez
Published: March 2023

BACKGROUND: The hamstring muscles have a great tendency to decrease their extensibility, a phenomenon that presents a distinct clinical entity called short hamstring syndrome (SHS), in addition to problems with adjacent structures. OBJECTIVE: The objective of this study was to evaluate the immediate effect of lumbar fascia stretching on the flexibility of the hamstring musculature. METHODS: A randomized controlled trial was carried out. Forty-one women between 18 and 39 years old were divided into two groups: the experimental group received a technique of fascial stretching in the lumbar area while the control group participated in a magnetotherapy machine that was turned off. Hamstring flexibility in both lower limbs was measured by the straight leg raising test (SLR) and the passive knee extension test (PKE). RESULTS: The results showed statistically significant improvements (p< 0.05) in the SLR and the PKE for both groups. There was a large effect size (Cohen’s d) for both tests. There was a statistically significant correlation between the International Physical Activity Questionnaire (IPAQ) and the SLR. CONCLUSION: The inclusion of lumbar fascia stretching might be an effective part of a treatment protocol to increase the flexibility of the hamstring muscle observing an immediate result in healthy participants.
An effective deep learning model with reduced error rate for accurate forecast of stock market direction
Authors: Patil Pankaj Rambhau , Parasar Deepa , Charhate Shrikant
Published: March 2023

Prediction using ML models is not well adapted in many portions of business decision-making due to a lack of clarity and flexibility. In order to provide a positive risk-adjusted price for stocks by evaluating historical transaction data and retaining more accuracy with a reduced error rate, the suggested framework aims to use deep learning method. The deep learning methodology, which can handle time-series data, is applied in this work. The measurements of MSE and RMSE error rates, which indicate how far the measured values are from the regression line, are used to produce the findings. The dispersion of these residuals is evaluated by RMSE. It demonstrates how densely the data is clustered around the line of best fit. In this work, a novel deep learning approach is compared to deep LSTM, GA, and Harris Hawk optimization. Outcomes were obtained and exhibited for the various firm stocks dataset as part of this investigation, which amply demonstrates the usefulness of the proposed strategy with a lower error rate.
Anti-money laundering powered by graph machine learning: “Show me your friends and I will tell you who you are”
Authors: Astrova Irina
Published: March 2023

Today financial institutions have been investing billions of US dollars to detect money laundering. When financial institutions are found to have their customers conduct money laundering through them, they are subjected to large penalties. Moreover, their reputation suffers greatly through public exposure. In response, financial institutions have been exploring opportunities to use graph machine learning algorithms. This paper describes one of those algorithms called Anti-TrustRank and demonstrates how it can be used to identify money launderers. In contrast to many other algorithms, Anti-TrustRank calls for selecting a very small set of customers to be confirmed by human experts (e.g., compliance officers or analysts) as money launderers. Once this set has been identified, Anti-TrustRank seeks out customers linked (either directly or indirectly) to those money launderers.
Performance analysis of vehicle-to-everything communication using internet of LoRa computing for intelligent transportation system
Authors: Vinodhini M. , Rajkumar Sujatha
Published: March 2023

Intelligent Transportation System (ITS) is an emerging field nowadays that is widely utilized to improve safety measures, avoid abnormalities, and traffic flow control, and also develops the environment without hassle. So far, the deployment of sensors into vehicles and the analyzing the vehicular parameters towards the smart city applications have been achieved by the integration of LoRa-based vehicular communication. However, trust in previous design architecture should need efficient transmission, robustness, and energy efficiency. To overcome the challenges, the proposed system designed the Internet of LoRa computing enabled vehicular communication with high reliability by offering the optimization technique namely an Enhanced Artificial Bee Colony (EABC) algorithm for the localization scheme. The proposed framework consists of two sections. First, observe the objects nearby vehicles using an ultrasonic sensor that is equipped in the Arduino module with a LoRa shield. The second work contributes to the evaluation of performance metrics of vehicular communication in the sensing region with a minimum delay of two seconds using MathWorks simulation. The article designed the VANET, which utilized the LoRa architecture for Vehicle to Everything communication, and pointed out the position of the sensor nodes using a localization scheme (EABC algorithm), comparing the proposed EABC algorithm with the other optimization techniques viz Particle Swarm Optimization and Genetic algorithms in the dense nodes and it achieves 25% variation in minimizing the position error at a certain speed. Further, find the system performance by calculating the BER (Bit Error Rate) in both coherent and non-coherent with varying speeds of the vehicle and router connections and it achieves 40% variation in efficiency and realizes the network coverage in terms of the position of the vehicle in the way the proposed framework achieves the high accuracy in overall system throughput.
Population-Based Mini-Mental State Examination Norms in Adults of Mexican Heritage in the Cameron County Hispanic Cohort
Authors: Bukhbinder Avram S. , Hinojosa Miriam , Harris Kristofer , Li Xiaojin , Farrell Christine M. , Shyer Madison , Goodwin Nathan , Anjum Sahar , Hasan Omar , Cooper Susan , Sciba Lois , Vargas Amanda Falk , Hunter David H. , Ortiz Guadalupe J. , Chung Karen , Cui Licong , Zhang Guo-Qiang , Fisher-Hoch Susan P. , McCormick Joseph B. , Schulz Paul E.
Published: March 2023

Background: Accurately identifying cognitive changes in Mexican American (MA) adults using the Mini-Mental State Examination (MMSE) requires knowledge of population-based norms for the MMSE, a scale which has widespread use in research settings. Objective: To describe the distribution of MMSE scores in a large cohort of MA adults, assess the impact of MMSE requirements on their clinical trial eligibility, and explore which factors are most strongly associated with their MMSE scores. Methods: Visits between 2004–2021 in the Cameron County Hispanic Cohort were analyzed. Eligible participants were ≥18 years old and of Mexican descent. MMSE distributions before and after stratification by age and years of education (YOE) were assessed, as was the proportion of trial-aged (50–85– year-old) participants with MMSE <24, a minimum MMSE cutoff most frequently used in Alzheimer’s disease (AD) clinical trials. As a secondary analysis, random forest models were constructed to estimate the relative association of the MMSE with potentially relevant variables. Results: The mean age of the sample set (n = 3,404) was 44.4 (SD, 16.0) years old and 64.5% female. Median MMSE was 28 (IQR, 28-29). The percentage of trial-aged participants (n = 1,267) with MMSE <24 was 18.6% overall and 54.3% among the subset with 0–4 YOE (n = 230). The five variables most associated with the MMSE in the study sample were education, age, exercise, C-reactive protein, and anxiety. Conclusion: The minimum MMSE cutoffs in most phase III prodromal-to-mild AD trials would exclude a significant proportion of trial-aged participants in this MA cohort, including over half of those with 0–4 YOE.
The Influence of Agricultural Work and Plasma Uric Acid on Hospital Admission for Alzheimer’s Disease
Authors: Liu Hanxiang , Reynolds Gavin P. , Wei Xianwen
Published: March 2023

Background: Exposure to environmental neurotoxins associated with agricultural work, such as pesticides, may be a risk factor for neurodegenerative disorders such as Alzheimer’s (AD) and Parkinson’s (PD) diseases. There is strong evidence that such exposure is associated with the development of PD; for AD the current evidence is equivocal. Several mechanisms are proposed to mediate this environmental toxicity, one of which is oxidative stress. Uric acid (UA) is an endogenous antioxidant, low levels of which are also implicated in neurodegenerative disease. Objective: This study aimed to determine whether agricultural work was a risk factor for AD in a population in which its association with PD was established, and whether UA was also associated with AD in this cohort. Methods: Hospital records of subjects meeting criteria for AD (n = 128) or vascular dementia (VaD) (n = 178) after hospital admission for symptoms of dementia were studied. History of agricultural work and plasma UA were recorded and their relationship to diagnosis determined. Results: In contrast to previous findings in this population in which agricultural work was strongly associated with PD, a history of agricultural work was not over-represented in hospital admission for AD versus VaD. AD was associated with a reduced level of circulating UA compared with VaD. Conclusion: Agricultural work as a likely proxy for exposure to pesticides appears not to be a risk factor for AD to the extent found in PD, perhaps reflecting their differences in neuronal pathology. Nevertheless, findings with UA suggests that oxidative stress may be an important factor in AD pathogenesis.
Muti-channel graph attention networks for POI recommendation
Authors: Wu Yisheng , Jin Xin , Huang Haiping
Published: March 2023

This paper focuses on the task of Point-of-interest (POI) recommendation whose goal is to generate a list of POIs for a target user based on his or her history check-in records. Different from the traditional recommendation tasks (e.g., movie recommendation), there are many factors, like temporal factor and geographical factor, which make a great influence on user preference. Though existing POI recommendation methods tend to model the user preference from temporal factor, geographical factor or social factor, they fail to model these factors into a jointly model, leading to learn the suboptimal user preference. To tackle this issue, we propose a Muti-channel Graph Attention Network (MGAN) for POI recommendation which learns the user preference from multiple aspects in a unify model. Specifically, MGAN first constructs several graphs with corresponding contextual features to capture the user preference from temporal, geographical, semantic and social aspects. Then MGAN leverages the graph attention networks to learn the representations of POIs from these graphs. Finally, MGAN estimates the user preference from the history check-in records and other similar users via the learned POI representations. We conduct extensive experiments on real-world datasets. And the results indicate that our proposed MGAN outperforms mainstream POI recommendation methods.
Energy consumption optimization method of wireless sensor information collection network for new energy scheduling
Authors: Jiang Feng , Lin Chunhua , Chen Jing , Wu Chutian
Published: March 2023

New energy integration is thought to be one of the most potential solutions to support the power system with a sustainable energy infrastructure. However, new energy is an uncertain power generation resource, and the electricity generated by it has the characteristics of randomness, intermittency and reverse peak regulation. Its large-scale integration into the power grid makes the operation and reliability scheduling of the power system more challenging. It was important to build a wireless sensing and monitoring network to monitor the power and change trend of the new energy field (station) in real time. The energy consumption of wireless sensing monitoring network is an important factor to improve the reliability of new energy scheduling. Based on the energy consumption of the wireless sensing monitoring network built by the new energy scheduling, the compression sensing technology was integrated and the network routing protocol (I-LEACH protocol) was optimized. The sampling data was transmitted by the cluster head node at the compression rate of 0.6, the improved OMP (Orthogonal Matching Pursuit) algorithm was reconstructed to achieve reliable data transmission, and the network energy consumption was further reduced. Compared with the I-LEACH routing protocol network, the experiments show that the network residual energy of the proposed method increased by 22% and the life cycle increased by about 30%. This method is helpful to improve the reliability of new energy power dispatching system and it can provide reference for realizing the reliability scheduling of new energy power system.
HSDL-based intelligent threat detection framework for IoT network
Authors: Santhadevi D. , Janet B.
Published: March 2023

Many Internet of Things (IoT) devices are susceptible to cyber-attacks. Attackers can exploit these flaws using the internet and remote access. An efficient Intelligent threat detection framework is proposed for IoT networks. This paper considers four key layout ideas while building a deep learning-based intelligent threat detection system at the edge of the IoT. Based on these concepts, the Hybrid Stacked Deep Learning (HSDL) model is presented. Raw IoT traffic data is pre-processed with spark. Deep Vectorized Convolution Neural Network (VCNN) and Stacked Long Short Term Memory Network build the classification model (SLSTM). VCNN is used for extracting meaningful features of network traffic data, and SLSTM is used for classification and prevents the DL model from overfitting. Three benchmark datasets (NBaIoT-balanced, UNSW-NB15 & UNSW_BOT_IoT- imbalanced) are used to test the proposed hybrid technique. The results are compared with state-of-the-art models.
Increased Effective Connectivity of the Left Parietal Lobe During Walking Tasks in Parkinson’s Disease
Authors: Wang Yue , Yu Ningbo , Lu Jiewei , Zhang Xinyuan , Wang Jin , Shu Zhilin , Cheng Yuanyuan , Zhu Zhizhong , Yu Yang , Liu Peipei , Han Jianda , Wu Jialing
Published: March 2023

Background:

In Parkinson’s disease (PD), walking may depend on the activation of the cerebral cortex. Understanding the patterns of interaction between cortical regions during walking tasks is of great importance.

Objective:

This study investigated differences in the effective connectivity (EC) of the cerebral cortex during walking tasks in individuals with PD and healthy controls.

Methods:

We evaluated 30 individuals with PD (62.4±7.2 years) and 22 age-matched healthy controls (61.0±6.4 years). A mobile functional near-infrared spectroscopy (fNIRS) was used to record cerebral oxygenation signals in the left prefrontal cortex (LPFC), right prefrontal cortex (RPFC), left parietal lobe (LPL), and right parietal lobe (RPL) and analyze the EC of the cerebral cortex. A wireless movement monitor was used to measure the gait parameters.

Results:

Individuals with PD demonstrated a primary coupling direction from LPL to LPFC during walking tasks, whereas healthy controls did not demonstrate any main coupling direction. Compared with healthy controls, individuals with PD showed statistically significantly increased EC coupling strength from LPL to LPFC, from LPL to RPFC, and from LPL to RPL. Individuals with PD showed decreased gait speed and stride length and increased variability in speed and stride length. The EC coupling strength from LPL to RPFC negatively correlated with speed and positively correlated with speed variability in individuals with PD.

Conclusion:

In individuals with PD, the left prefrontal cortex may be regulated by the left parietal lobe during walking. This may be the result of functional compensation in the left parietal lobe.
Comparison of PDA diameter measurements using color and 2D echocardiography in newborn infants
Authors: Pereira S.S.
Published: March 2023

BACKGROUND: Patent ductus arteriosus (PDA) diameter is a frequently measured echocardiographic parameter when assessing the PDA. Though, there are recommendations to use 2D echocardiography to measure the PDA diameter, there is paucity of data on how PDA diameter compares when measured using 2D and color echocardiography. The aim of this work was to examine the bias and limits of agreement between measuring PDA diameter using color and 2D echocardiography in newborn infants. METHODS: This retrospective study examined the PDA using the high parasternal ductal view. Using colour compare, three consecutive cardiac cycles were used to measure PDA diameter at the narrowest point where the PDA joined the left pulmonary artery in both 2D and colour echocardiography by a single operator. RESULTS: The bias between PDA diameter using color and 2D echocardiography was examined in 23 infants (mean gestation: 28.7weeks). The mean (SD, 95% LoA) bias between color and 2D were 0.45(0.23, –0.005 to 0.91) mm. CONCLUSION: Color measurements exaggerated PDA diameter measurements when compared to 2D echocardiography.
After NICU discharge: Feeding and growth of low-income urban preterm infants through the first year
Authors: Fernández C. R.
Published: March 2023

BACKGROUND: Little is known about preterm infant feeding and growth in the outpatient setting, and there are no standardized post-hospital discharge feeding guidelines. This study aims to describe post-neonatal intensive care unit (NICU) discharge growth trajectories of very preterm (<32 weeks gestational age (GA)) and moderately preterm (32–34 0/7 weeks GA) infants managed by community providers and to determine the association between post-discharge feeding type and growth Z-scores and z-score changes through 12 months corrected age (CA). METHODS: This retrospective cohort study included very preterm infants (n = 104) and moderately preterm infants (n = 109) born 2010–2014 and followed in community clinics for low-income, urban families. Infant home feeding and anthropometry were abstracted from medical records. Repeated measures analysis of variance calculated adjusted growth z-scores and z-score differences between 4 and 12 months CA. Linear regression models estimated associations between 4 months CA feeding type and 12 months CA anthropometry. RESULTS: Moderately preterm infants on nutrient-enriched vs. standard term feeds at 4 months CA had significantly lower length z-scores at NICU discharge that persisted to 12 months CA (–0.04 (0.13) vs. 0.37 (0.21), respectively, P = .03), with comparable length z-score increase for both groups between 4 and 12 months CA. Very preterm infants’ 4 months CA feeding type predicted 12 month CA body mass index z-scores (β=–0.66 (–1.28, –0.04)). CONCLUSION: Community providers may manage preterm infant post-NICU discharge feeding in the context of growth. Further research is needed to explore modifiable drivers of infant feeding and socio-environmental factors that influence preterm infant growth trajectories.
A RFID anti-collision approach for efficient query tree
Authors: Li Gang , Wang Jingfang
Published: March 2023

In the radio frequency identification technology system, there are too many time slots which are caused by tag collision, and the communication complexity is high. On the basis of the anti-collision algorithm of the binary tree and the quadtree query tree, the methods of locking the collision bit and predicting the child node are used, a new lock-bit hybrid querytree (novel lock-bit hybrid query tree, NLHQT) algorithm is proposed. In the algorithm, the collision bit information is extracted through the lock instruction, and the extracted collision bit information is predicted. While reducing the collision time slot, the reader generates a new query prefix through prediction, thereby avoiding the generation of idle child nodes. Compared with the improved hybrid query tree (IHQT) anti-collision algorithm and the regression lock adaptive multi-tree search (RLAMS), the algorithm in this paper is more effective in reducing the total number of time slots and communication complexity, and the efficiency of identifying tags can be effectively improved.
Combined light-cured and sacrificial hydrogels for fabrication of small-diameter bionic vessels by 3D bioprinting
Authors: Jin Qianheng , Yu Chenghao , Xu Lei , Zhang Guangliang , Ju Jihui , Hou Ruixing
Published: March 2023

BACKGROUND: Bionic grafts can replace autologous tissue through tissue engineering in cases of cardiovascular disease. However, small-diameter vessel grafts remain challenging to precellularize. OBJECTIVE: Bionic small-diameter vessels with endothelial and smooth muscle cells (SMCs) manufactured with a novel approach. METHODS: A 1-mm-diameter bionic blood vessel was constructed by combining light-cured hydrogel gelatin-methacryloyl (GelMA) with sacrificial hydrogel Pluronic F127. Mechanical properties of GelMA (Young’s modulus and tensile stress) were tested. Cell viability and proliferation were detected using Live/dead staining and CCK-8 assays, respectively. The histology and function of the vessels were observed using hematoxylin and eosin and immunofluorescence staining. RESULTS: GelMA and Pluronic were printed together using extrusion. The temporary Pluronic support was removed by cooling during GelMA crosslinking, yielding a hollow tubular construct. A bionic bilayer vascular structure was fabricated by loading SMCs into the GelMA bioink, followed by perfusion with endothelial cells. In the structure, both cell types maintained good cell viability. The vessel showed good histological morphology and function. CONCLUSION: Using light-cured and sacrificial hydrogels, we formed a small ca bionic vessel with a small caliber containing SMCs and endothelial cells, demonstrating an innovative approach for construction of bionic vascular tissues.
Teledentistry: Evaluation of Instagram posts related to bruxism
Authors: Qazi Noreen , Pawar Madhura , Padhly Preeti P. , Pawar Vivek , D’Amico Cesare , Nicita Fabiana , Fiorillo Luca , Alushi Adela , Minervini Giuseppe , Meto Aida
Published: March 2023

BACKGROUND: Instagram statistic has attracted roughly one billion, monthly active users. In 2021, Instagram belonged to the most popular social networks worldwide. It has been considered an effective tool that contributes to the contemporary sharing of information for raising public awareness while providing educational information. The growing presence of Instagram and frequent user engagement has made it a potentially effective platform for patient communication, seeking educational information, product information for consumers, and advertisements in the form of images and videos. OBJECTIVE: To assess and compare the contents of Instagram posts by healthcare professionals (HP) and non-professional healthcare workers (NPHW) on bruxism and to assess public engagement with this content. METHODS: Twelve “hashtag” terms linked to bruxism were searched. HP and NPHW analyzed the content of relevant posts for the presence of domains. Discourse analysis assessed the post quality for themes. We conducted the descriptive and univariate statistical analysis, whereas inter-rater reliability was tested using Cohen’s kappa. RESULTS: A total of 1184 posts were retrieved, with the majority uploaded by NPHW (622 posts). The posts by HPs were in text and image(s) format (53%) with the range of 25–1100 Instagram post “Likes.” “Mouthguard” (90) % was the most frequently included domain posted by HP, followed by “treatment plan/pain management”, and complaints of clicking or locking of TMJ” (84%). Greater number of domains (p= 0.03) were seen in the posts by NPHWs, compared to HP’s having more bruxism-related content. The inter-rater reliability method (0.89) was used for the presence of domains. CONCLUSION: NPHW uses Instagram more frequently to post bruxism-related information than HP. HPs must ascertain that the content posted by NPHW is relevant and the concerns addressed in posts are to the purpose.
Scope of application of the innovative repair kit
Authors:   L.N. Gumilyov Eurasian National University, Togizbayeva B.B. , Kushaliev D.K. ,   L.N. Gumilyov Eurasian National University, Balabekova K.G. ,   L.N. Gumilyov Eurasian National University, Naviykhan B. ,   L.N. Gumilyov Eurasian National University
Published: March 2023

The growth of the fleet of rolling stock of motor transport increases the requirements for road safety, which is largely determined by the operational reliability and technical condition of the components and mechanisms of the chassis. In many countries, large-scale studies are being conducted related to the problems of improving the quality, reliability and durability of motor vehicles and technological equipment based on repair kits, as well as manufacturing and assembly technologies using new tribotechnical methods that increase operational durability. The proposed innovative repair kits for reciprocating motion can be used in railway, automobile transport, suspension units, shock absorbers and hydraulic cylinders, steering, cardan gears, bearing units of aircraft, electrical contactors, sewing, mining, oil and gas production and processing industries and some others where traditional sliding and rolling bearings are used under heavy loads in the reciprocating-rotational mode.
Investigation of the mechanics of rail failure in the event of contact fatigue defects in cold conditions
Authors:   L.N. Gumilyov Eurasian National University, Togizbayeva B. , Zabieva A. ,   L.N. Gumilyov Eurasian National University, Karazhanov A. ,   L.N. Gumilyov Eurasian National University, Alipbayev Zh. ,   L.N. Gumilyov Eurasian National University
Published: March 2023

During operation in transit, rails are exposed to the combined effects of various loads (power, temperature, atmospheric), under the influence of which complex and usually interrelated processes occur in the rail metal: plastic deformation of metal, the development of various types of irregularities on the surface of the rolling head. The occurrence of surface injuries and their development, the development of internal defects of contact fatigue origin. All this leads to significant changes in the service properties of the rails. The article discusses the causes of elastic stresses at the crack tip in an infinite plate during the movement of rolling stock. As a result of the conducted research, there were identified methods of repairing defects in the rail heads, which allowed raising the issue of continuing operation of rails with defects.
A Cessna 172 típusú repülőgép dízelüzemmódra alakításának megtérülése
Authors: Tiba Zsolt , Győri Gyula , Ailer Piroska , Husi Géza
Published: March 2023

A Cessna 172 típusú repülőgép dízelmotoros változatra való átalakításának több aspektusa van. Az eredeti hajtómű kiváltása korszerű dízelmotorral és változtatható beállítási szögű légcsavarral évtizedekkel modernebb technológiára való váltást jelent. A nagyobb motorteljesítmény és az alacsonyabb tüzelőanyag-fogyasztás kedvezően befolyásolja a repülőgép repülési teljesítményét. Ebben a dolgozatban azt elemezzük, hogy milyen költséggel jár az átalakítás, mennyi a megtérülés ideje tekintettel a gazdaságosabb üzemelésre, illetve hogyan alakulnak a karbantartási ciklusok és költségek.
A katonai repülőtereket érintő biztonsági kihívások változása a történelem során (1. rész)
Authors: Táborszky József
Published: March 2023

A repülőterek, repülőbázisok kialakulása szinte egybeesik a repülés kezdeteivel, még ha eleinte csak rögtönzött felszállópályák álltak is rendelkezésre. A repülőgépek kiterjesztik a hadviselést a harmadik dimenzióra a légtér uralásával, azonban nélkülözhetetlenül függnek a földi szentélyek működésétől. A légi bázisok biztonsága így megkérdőjelezhetetlen, ugyanakkor fontos kérdés, hogy jelentőségük hogyan változott az idők folyamán, és hogy a technika, a képességek és az elvek fejlődésével hogy változott e létesítmények biztonsága.
ДЕЯКІ ШЛЯХИ УДОСКОНАЛЕННЯ КРИМІНАЛЬНОЇ ВІДПОВІДАЛЬНОСТІ ЗА ШПИГУНСТВО
Authors: Сервецький Іван Васильович
Published: March 2023

Анотація: У статті досліджено шпигунську діяльність, яка здійснюється для передачі або збирання з метою передачі іноземній державі, іноземній організації або їхнім представникам відомостей, що становлять державну таємницю, якщо ці дії вчинені іноземцем або особою без громадянства. В статті виокремлено конкретні види інформації, яка належить до державної таємниці, перелічені у Законі України «Про державну таємницю». Ними є інформація: 1) у сфері оборони; 2) у сфері економіки, науки й техніки; 3) у сфері зовнішніх відносин; 4) у сфері державної безпеки та охорони правопорядку. Метою статті є розкриття сутності шпигунства у формі збирання, уточнення поняття збирання щодо шпигунської діяльності, з’ясування доцільності криміналізації збирання секретної інформації з метою передачі іноземним адресатам як закінченого злочину. Слід мати на увазі, що шпигунство є закінченим злочином не з моменту встановлення зв’язку з іноземною державою, іноземною організацією або їх представниками чи отримання завдання від іноземної розвідки, а з моменту вчинення певних конкретних дій на шкоду Україні. Якщо особа, отримавши завдання іноземної розвідки, не вчинила ніяких дій і добровільно та остаточно відмовилась від його виконання, то незалежно від того, заявила вона органам державної влади про свій зв’язок з іноземною розвідкою або не зробила цього, – вона має бути звільнена від кримінальної відповідальності на підставі Кримінального кодексу України. У статті наголошується, що держава може зазнати найбільшої загрози в результаті зовнішнього впливу – це шпигунська діяльність. З метою успішної протидії зовнішнім чинникам у статті рекомендовано запровадити запобіжні, режимні та контррозвідувальні заходи у найбільш вразливих секторах: оборони, економіки, науки й техніки, зовнішніх відносин, державної безпеки, охорони правопорядку, мовної політики тощо.
ПРАВОВЕ РЕГУЛЮВАННЯ ПОДАТКОВОЇ СИСТЕМИ УКРАЇНИ У НОВИХ РЕАЛІЯХ
Authors: Голоядова Тетяна Олексіївна
Published: March 2023

Анотація. У статті досліджено податкову систему України, проаналізовано її правове регулювання у динамічних реаліях сучасності. Встановлено, щореформування податкової системи України у нових реаліях має відбуватися через послідовну реалізацію стратегічних цілей податкової політики України, а саме підвищення конкурентоспроможності вітчизняного бізнесу,розробка ефективних механізмів податкового адміністрування та адаптація податкового законодавства України до законодавства ЄС, необхідність реалізації системного підходу до формування податкової політики держави на основі кращої світової практики тому що, обов’язковою ознакою ефективної податкової системи держави є дієва система оцінювання та аналізу прийнятих рішень, забезпечення умов для добровільного виконання вимог податкового законодавства України платниками податків. Під час дослідження було опрацьовано наукові роботи українських вчених, законодавчі та урядові матеріали, статистичні дані. Використано такі загальнонаукові методи: метод пізнання, метод системного аналізу, метод аналізу та синтезу а також метод порівняння. Реформування податкової системи України у нових реаліях має відбуватися через послідовну реалізацію стратегічних цілей податкової політики України, а саме підвищення конкурентоспроможності вітчизняного бізнесу, розробка ефективних механізмів податкового адміністрування та адаптація податкового законодавства України до законодавства ЄС, необхідність реалізації системного підходу до формування податкової політики держави на основі кращої світової практики тому що, обов’язковою ознакою ефективної податкової системи держави є дієва система оцінювання та аналізу прийнятих рішень, забезпечення умов для добровільного виконання вимог податкового законодавства України платниками податків, необхідна поступова лібералізації податкової політики в напрямі зменшення податкових ставок і надання податкових пільг за основними податками в Україні, створення умов для реалізації принципу соціальної справедливості у оподаткування та стабільне податкове законодавство в України.
ПРАВОВЕ РЕГУЛЮВАННЯ ІНФОРМАЦІЙНОЇ БЕЗПЕКИ ГРОМАДЯНИНА ПІД ЧАС ДІЇ ВОЄННОГО СТАНУ
Authors: Капля Олександр Миколайович
Published: March 2023

Анотація. У статті досліджено основні юридичні загрози та ризики інформаційної безпеки громадян. Встановлено нормативно-правові механізми управління рівнем інформаційної безпеки суспільства у період воєнного стану та в мирний час. Проведено порівняння дії відповідних механізмів, що дозволило провести порівняння адміністративно-правових ризиків в залежності від умов (воєнного, або мирного часу). Визначено суб’єктів забезпечення інформаційної безпеки громадянського суспільства, а також нормативно-правові положення, що регламентують їх діяльність. Проведено дослідження способів мінімізації негативних інформаційних впливів, зокрема: розглянуто юридичний захист прав і свобод використання інформації; адміністративно-правовий захист інформаційних потреб громадян та їх інтересів в інформаційному просторі територіальними та відомчими органами безпеки; адміністративно-правовий захист професійної, особистої та сімейної таємниці з використанням технічних засобів захисту. Дослідження проведено з метою вдосконалення чинних правових норм, спрямованих на захист прав громадянин на свободу слова, захист персональних даних, та власних інформаційних потреб, що визначені Законами України: «Про інформацію», «Про захист персональних даних», «Про захист інформації в інформаційно-комунікаційних системах», «Про звернення громадян», «Про доступ до публічної інформації» в умовах воєнного стану. Проведено дослідження ризиків та загроз у сфері інформаційної безпеки у кіберпросторі, що дозволило виявити важливі напрями вдосконалення діючих норм закону під час дії воєнного стану. Проаналізовано дію нормативних механізмів захисту персональних даних у військовий час.
Hayvansal Kökenli Gıdalarda Listeria monocytogenes Prevalansının Meta-Analizi
Authors: BAREL Mukaddes , HIZLISOY Harun , KÖŞKEROĞLU Kürşat , ÇELIK GÜRBULAK Elif , ÖZKAYA Yasin
Published: March 2023

Bu çalışmanın amacı, Türkiye'de farklı hayvansal kaynaklı gıdalarda Listeria monocytogenes prevalansını belirlemektir. Araştırmalar neticesinde 1998-2020 yılları arasında yayımlanmış 51700 adet yayın belirlenmiştir. Çalışmalar arasındaki heterojenliği sağlamak için süt ve süt ürünleri, kırmızı et ve ürünleri, kanatlı eti ve ürünleri ile Tüketime Hazır Gıdalar (THG) üzerinde alt grup ve meta-regresyon analizleri yapılmıştır. Alt grup analizlerinin sonuçlarına göre Türkiye'de gıda türlerinde L. monocytogenes'in en düşük ve en yüksek prevalansı THG ve kanatlı eti ve ürünleri için sırasıyla 0.042 (0.018-0.095) ve 0.161 (0.134-0.192) olarak hesaplanmıştır. L. monocytogenes'in özellikle THG’larda ve diğer ürünlerde bulunması halk sağlığı için potansiyel bir risk oluşturabilmektedir.
ОСОБЛИВОСТІ ОРГАНІЗАЦІЇ ОБЛІКУ РОЗРАХУНКІВ З ОПЛАТИ ПРАЦІ В СУЧАСНИХ УМОВАХ
Authors: Склярук Ірина , Поліщук Марія
Published: March 2023

Стаття присвячена актуальним питанням організації обліку розрахунків з оплати праців умовах воєнного стану. Проведено дослідження нормативних документів в частині регулювання трудових відносин. Проаналізовано та узагальнено інформацію щодо оформлення трудових договорів, зміни норм тривалості робочого часу, умов надання відпустки, особливостей переведення працівників на іншу роботу. Проаналізовано стан ринку праці України та специфіку його функціонування в реаліях сьогодення. У статті зазначено щодо необхідності прийняття роботодавцем усіх можливих заходів для забезпечення реалізації права працівників на своєчасне отримання заробітної плати. Визначено особливості ведення обліку розрахунків з оплати праці та оподаткування заробітної плати і пов’язаних з нею виплат у період воєнного стану. Запропоновано шляхи вдосконалення організації обліку розрахунків з оплати праці для підвищення ефективності робочого процесу.
ПРОПАГАНДА ТА МЕДІАРЕАЛЬНІСТЬ ЯК ІНСТРУМЕНТИ ВЕДЕННЯ ІНФОРМАЦІЙНОЇ ВІЙНИ: ЛОКАЛЬНИЙ ВИМІР
Authors: But K.
Published: March 2023

The purpose of the study is to to consider the local dimension of propaganda as a component of media reality in modern public discourse and to clarify its functions and role in conducting information warfare.

Research methodology. The following methods were used in the research process: systematization, analysis and synthesis, comparison.

Results. The analyzed source base reveals that the toolkit for constructing media reality in Russian propaganda materials includes the following elements: stereotypes, framing, selection method, manipulation of opinions, use of conflicts, storytelling, use of actions/actors, emphasis on violation of norms, propaganda methods, preferences, genre specificity, reporting elements, visual tools, etc. The study indicates that, unfortunately, there are many elements of Russian propaganda in the modern local dimension of media discourse. On the one hand, the messages of these propaganda materials are aimed at an audience with a lack of critical thinking and a low level of media literacy. However, the toxic content in the distribution of such messages in the temporarily occupied territories of the Zaporizhzhia region is also realized to a wider audience, since the residents of these cities and villages have no or almost no access to Ukrainian sources of information, have unstable communication, and are in an information vacuum. All these are favorable conditions for the effective spread of Russian messages in the minds of our fellow citizens.

Practical significance. The results of the research can be used during courses related to the topics of propaganda, construction of media reality, modern history of Ukraine, journalism and social communications, in particular, for the specialties «Journalism», «Advertising and public relations», «Information business». In addition, they can be used as materials of informational and educational significance, a source base for further scientific and practical developments, as well as in the work of media workers to counter enemy propaganda in conditions of information warfare. Equally important is that they can form the basis of the formation of Ukraine’s strategic narrative.

Key words: propaganda, media reality, fakes, narratives, information war, media literacy, key messages, temporarily occupied territories of Zaporizhzhia region, manipulation, fact-checking.
KEPEMIMPINAN DAN MOTIVASI KERJA DALAM MENINGKATKAN KINERJA KARYAWAN
Authors: Alhidayatullah Alhidayatullah , Lestari Nurni Arrina , Antony Antony
Published: March 2023

Karyawan perusahaan memiliki peranan penting dalam kelangsungan jangka panjang perkembangannya. Anomali yang terjadi pada CV Agung Dipo Persada Sukabumi adalah masih rendahnya kinerja karyawan. Bagaimana mendeskripsikan kepemimpinan dan motivasi kerja Agung Dipo Persada Sukabumi pada perusahaannya menjadi pokok bahasan penelitian ini. Tujuan dari penelitian ini adalah untuk mengetahui lebih jauh bagaimana kepemimpinan dan motivasi kerja dalam meningkatkan kinerja karyawan CV Agung Dipo Persada Sukabumi. Penelitian ini mengumpulkan data dari seluruh karyawan CV Agung Dipo Persada Sukabumi yang berjumlah 35 orang. Untuk menggunakan seluruh populasi sebagai sampel, metode yang digunakan dalam pengambilan sampel adalah teknik studi sensus populasi dan metode kuesioner digunakan untuk mengumpulkan data. Metode analisis yang digunakan adalah regresi berganda. Dari hasil olah data regresi berganda diperoleh variable kepemimpinan dan motivasi kerja memiliki pengaruh sebesar 50% dalam meningkatkan kinerja karyawan, sedangkan sisanya sebesar 50% dipengaruhi oleh variable lain yang tidak diteliti.
LITERASI PENGETAHUAN, PERSEPSI, SIKAP, DUKUNGAN KELUARGA, DAN ISYARAT BERTINDAK UNTUK KESEDIAAN MENERIMA VAKSIN COVID 1-19 (STUDI PADA ORANG LANJUT USIA DI KABUPATEN PENAJAM PASER UTARA)
Authors: Mariati Mariati , Kosasih Kosasih , Sofia Etty
Published: March 2023

Orang lanjut usia dapat menjadi resiko yang lebih tinggi terjadi prognosis penyakit yang buruk dan tingkat kematian yang tinggi jika terinfeksi penyekit Covid-19.  Kelompok yang rentan terhadap terpaparnya virus Covid-19 adalah orang lanjut usia  tetapi cakupan vaksinasi Covid-19 pada kelompok orang lanjut usia masih rendah. Bermacam-macam alasan orang lanjut usia tidak melakukan vaksinasi diantaranya takut, mendapat informasi yang salah, pengetahuan tentang vaksin yang masih rendah. Penelitian ini bertujuan untuk mengkaji dan menganalisis pengaruh dari literasi pengetahuan, persepsi, sikap, dorongan keluarga, dan isyarat bertindak terhadap kesediaan orang lanjut usia  menerima vaksinasi Covid 19 di Kabupaten Penajam Paser Utara. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kuantitatif. Sampel yang digunakan dalam penelitian ini adalah orang lanjut usia sebanyak 370 orang. Metode penentuan sample digunakan proposional random sampling. Data penelitian diperoleh daari hasil pengisian kuesioner dan dianalisis dengan menggunakan teknik analisis regresi linear berganda. Hasil penelitian ini menunjukkan bahwa literasi pengetahuan, persepsi, sikap, dukungan keluarga dan isyarat bertindak berpengaruh secara positif dan signifikan terhadap kesediaan orang lanjut usia menerima vaksinasi covid 19.
Can investors’ sentiment and inflation influence share market return volatility? An ASEAN perspective
Authors: Sukmadilaga Citra , Suciati N R Handiani , Handayani Tri , Alraudha Alissa Shafia , Ghani Erlane K
Published: March 2023

This study analysed the impact of psychological and macroeconomic factors on share market returns and its volatility in the ASEAN countries. This study specifically analysed the impact of investors’ sentiment and inflation on the share market returns and its volatility in the ASEAN countries. This study analyses investors’ sentiment and inflation by using the Consumer Confidence Index and Consumer Price Index on share market returns indices. The data of this study is based on 117 set from four ASEAN countries over a 10 years period. This study uses the Johansen cointegration test to evaluate the long-run cointegrating relationship among investor sentiment, inflation and market returns using different data set of IHSG, BM, PSEI, and SET. This study tells us that the Johansen co-integration test for IHSG, BM, PSEI, and SET confirms the existence of a long-run equilibrium of Trace and Maximum Eigenvalues among variables. This study shows that there is a simultaneous influence on both investors’ sentiment and inflation on the share market returns volatility in the ASEAN countries. The results of this study show that investors’ sentiment and inflation significantly influence the movement of the share market returns which constantly drives the share market returns volatility. The findings in this study serve as a reference to investors and other interested parties in understanding the factors which are influencing the share market returns volatility. Moreover, this study assists investors in forecasting future of share prices so they can make right decisions which ultimately, would reduce the risk of loss.