Browse Our Latest Applied Sciences Journals
In applied sciences, researchers use particular scientific methods to achieve practical goals. You can think of applied sciences as a broad, integrated area of various scientific fields that involve agronomy, agriculture, food science, medicine, engineering, computer science, and many other natural and social science disciplines. The main goal of applied science is to provide more knowledge and practical applications
Materials and Applied Sciences
Abstract
This study uses numerical modeling to explore the intricate relationship between low-velocity impact and composite materials. The study investigates the impact response of composite materials under low-speed loading circumstances in great detail. Two specimens were prepared for the current study the first one has a uniform thickness for each layer, and the second is prepared with altering layer thicknesses. A tensile test was employed to obtain the mechanical properties to use it in the numerical analysis. An impact test was employed in this analysis, where the impactor was modeled also on a height of 300 mm, the analysis time was taken as 0.08 s to capture all the impact. The numerical analysis was verified with other studies, and the error percentage did not exceed 2%. The results showed that the second specimen with alternating thickness had the best behavior.
Abstract
The goal of this study is to develop a linear disturbance rejection control (ADRC) based on transfer-function approach. The proposed control strategy is applied to control the angular position of knee joint for rehabilitation purpose. The Extended State Observer (ESO) is the core of ADRC strategy and the performance of all ADRC controllers are assessed based on tracking and estimations errors due to controller and observer, respectively. The transfer-based approach of ADRC (TFADRC) is characterized by simplicity and direct control design. A comparison study in performance between conventional linear ADRC (CLADRC) and TFADRC approach has been made. The results based on numerical simulation showed that the proposed approach gives better tracking performance compared to conventional one. Based on Root Mean Square of Error (RMSE) metric, the TFADRC gives less tracking error (0.0205 rad) under load disturbances than that based on CLADRC (0.0547 rad). Moreover, better noise rejection capability can be obtained by TFADRC as compared to the conventional one. However, the price of better performance gained by TFADRC is to actuate higher level of control signal compared to its counterpart.
Abstract
The present work evaluates the effect of the incorporation of 6% carnauba wax (CW) and 7% monoglyceride (MG) oleogels for production of a healthy lipid mixture (linseed and sunflower oils) oleogels as a fat replacer at 30, 50, and 70% in hamburger formulation. Hamburgers' fatty acid composition, cooking loss, fat absorption, and texture and oxidative stabilities were evaluated. Incorporation of oleogels in hamburger formulation resulted in a significant decrease (P < 0.05) in amounts of saturated fatty acids (SFAs), as well as a decrease in the ratio of omega-6 to omega-3 fatty acids and atherogenic indices, and an increase in linoleic and linolenic acids (PUFAs) content. Substitution of animal fat with CW and MG based oleogels improved the manufactured hamburgers' quality by reducing cooking loss and fat absorption. In addition, the use of oleogel improved the oxidative stability during the storage of burgers. The lower hardness of oleogels compared to animal fats, as well as their nutritional and technological properties, make them a desirable candidate for animal fat substitution.
Az ISO/IEC 27001 szabvány elmélete és gyakorlati alkalmazása OT/ICS-rendszerek kiberbiztonsági jelentéseinek tükrében
The theory and practical application of the ISO/IEC 27001 standard for OT/ICS systems
Az ISO/IEC 27001 szabvány alkalmazása lehetővé teszi az OT-rendszereket üzemeltető szervezetek számára, hogy egy átfogó és koherens biztonsági stratégiát alakítsanak ki, amely integrálja a kockázatkezelést és az információvédelem legjobb gyakorlatait. Az ISO/IEC 27001 kiemeli a felső vezetés elkötelezettségének szükségességét, a hatókör pontos meghatározását, a kockázatértékelést, a megfelelő biztonsági kontrollok kiválasztását és a rendszer folyamatos felülvizsgálatát és fejlesztését. Ezek a lépések kulcsfontosságúak az OT-rendszerek biztonságának fenntartása és a kibertámadásokkal szembeni védelem megerősítése érdekében. Az ISO/IEC 27001 alkalmazása OT-környezetben nemcsak a biztonsági intézkedések hatékonyságát növeli, hanem hozzájárul az üzleti folytonosság fenntartásához, az ügyfelek bizalmának növeléséhez és a szabályozási követelményeknek való megfeleléshez is. A közelmúltban megje-lent hazai és nemzetközi, OT/ICS-rendszerekre vonatkozó kiberbiztonsági jelentések legfőbb konklúziója, hogy a fenyegetettségek száma és kifinomultsága folyamatosan növekszik. A nemzetek és a szervezetek alapvető érdeke ezeknek a kockázatoknak a minimalizálása, valamint OT/ICS-rendszereik minél hatékonyabb védelme a kibertérben. Ennek legmegfelelőbb módja a kibervédelem szabványalapú megközelítése és az ajánlások hatékony alkalmazása. Ez a cikk bemutatja az ISO/IEC 27001 gyakorlati alkalmazásának kulcsfontosságú lépéseit, előnyeit és gyakorlati hasznosítását OT/ICS-rendszerek vonatkozásában.
A halálos tűzesetek számának csökkentése és a kritikus kockázati csoportok védelme egyszerűsített tűzkockázat-elemzéssel
Reducing the number of fatal fire incidents and protecting critical risk groups with a simplified fire risk analysis
Magyarországon évente közel száz főre tehető azoknak az állampolgároknak a száma, akik tűzesetek következtében vesztik életüket. A statisztika szerint az érintettek többségében 50 év feletti férfiak, mentális, alkohol- vagy drogproblémákkal küzdők, gondozásra és felügyeletre szoruló idős személyek, illetve fogyatékkal élők vagy hajléktalanok. Ők alkotják a tűzhalál kritikus kockázati csoportját. Környezetükben mindenkitől fokozott figyelmet igényel a tüzek megelőzése, hiszen életkorukból, mentális állapotukból, anyagi helyzetükből következően ebben a körben jóval nagyobb a tűzesetek és ezek nyomán a halálesetek bekövetkezésének esélye. A szerzők engedély birtokában elemezték az elmúlt öt év tűzvizsgálatainak statisztikáit, és szakmai tapasztalataikra alapozva modern kockázatcsökkentési lehetőségeket javasolnak. A cikk megírásával céljuk a tűzhalálesetek számának csökkentése.
A mesterséges intelligencia lehetőségei a megtévesztés felismerésében: technológia és jog
The potential of artificial intelligence in deception detection: Technology and law
A tanulmány célja a mesterséges intelligencia lehetőségeinek vizsgálata a megtévesztés felismerésében, valamint az alkalmazás jogi megfelelőségének értékelése. Ennek érdekében elvégeztük három adatbázis (MU3D, Bag-of-Lies, DOLOS) elemzését gépi tanulási modellek segítségével, majd a felderítésben való alkalmazás jogi értékelését. Az eredmények alapján megállapítható, hogy a kombinált MI-technológiák javítják a csalásdetekció hatékonyságát, de a pontosság még mindig messze van az optimális szinttől. Az MI-alapú megtévesztésfelismerés alkalmazható a magyar jogrendszerben, ha megfelel az AI Act előírásainak. A tanulmány bemutatja az MI-alapú csalásdetekció technológiai és jogi aspektusait, hangsúlyozva a kombinált technológiák hatékonyságát és a jogi megfelelőség fontosságát a felderítésben.
Abstract
Allium is a plant genus with high medicinal and dietary value, which encompasses commonly used culinary herbs such as scallion, garlic, and onion. In this study, we investigated whether Allium extracts exert protective effects on radiation-induced chromosomal damage in BALB/c mice. The mice were orally administered 200 mg kg−1 Allium extracts (scallion, garlic, and onion) for 6 weeks and exposed to 2 Gy gamma radiation 1 day after the final feeding. Haematological parameters and the number of micronucleated bone marrow polychromatic erythrocytes (MnPCEs) were evaluated. Additionally, we analysed the effects of Allium extracts on inflammasome activation in lipopolysaccharide-primed murine bone marrow-derived macrophages. The Allium extracts increased the numbers of peripheral white blood cells, lymphocytes, neutrophils, and red blood cells; significantly decreased the number of MnPCEs; and suppressed the maturation of interleukin-1β by blocking activation of the NLRP3 and AIM2 inflammasomes.
In conclusion, Allium extracts protected the hematopoietic function of bone marrow, reduced radiation-induced formation of micronuclei, and suppressed activation of the NLRP3 and AIM2 inflammasomes. Further research is needed to explore the molecular mechanisms of these effects of Allium.
Abstract
The aims of this study were to formulate 2% and 3% (w/v) hemp seed beverages and to evaluate chemical composition, colloidal stability, safety, and sensory profiles after roasting the seeds (150 °C, 15 min). Beverages with 2% and 3% roasted hemp seeds evidenced acceptable sensory attributes and nutritious profile, containing 0.6–1% protein, 0.4–0.6% dietary fibre, and 0.5–0.8% lipids –mainly unsaturated fatty acids–, respectively. The roasting treatment significantly increased the phenolic content by 49–55% and the antioxidant capacity by 15%, and improved the sensory attributes of the beverages. Low peroxide levels (<1 meq O2/kg) in roasted hemp seed beverages were detected up to five days in cold storage, with better capacity against oxidation at 2% seed content. The use of 0.03% gellan gum improved the physical stability of suspensions contributing to their overall acceptability. Roasted hemp seed beverages showed no cannabinoid and tetrahydrocannabinol (THC) content. The advantages observed after roasting the seeds on phenolic content, antioxidant activity, sensorial acceptability and safety provided better attributes for the feasibility of beverages formulated with hemp seeds. The results showed a formulation suitable for the development of potential industrial roasted hemp seeds beverages with promising compositional profiles.
Abstract
The automated system for enhancing plant growth presents an innovative approach to optimize quality of sugarcane cultivation for four main sugarcane growing zones. It includes issues like recommendation of crops based on soil nutrients, diagnosis of disease in the leaf and stem images of sugarcane, weed detection and harvesting time prediction. The research work proposed in the article presents an innovative two-stage approach for object detection and classification in agricultural imagery. Initially, YOLOv8 (You Only Look Once) is employed to accurately detect objects within images, delineating them with precise boundary boxes. Subsequently, the focus of hybrid model integrating Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, known as Contextual Long Short-Term Memory (CLSTM), is employed. This dual-stage methodology harnesses the speed and accuracy of YOLOv8 for robust object localization, while the CLSTM model ensures nuanced classification, contributing to comprehensive and accurate approach for object detection and crop-weed differentiation in agricultural scenarios. The proposed approach is compared with the four DL algorithms for identifying weeds in sugarcane crops and subsequently assessed their accuracy and F1 score performance. At a learning rate of 0.002, the findings of CLSTM showcase superior precision at 98.5%, recall at 97.8%, F1 score at 98.1%, and an overall accuracy of 97.7%. The subsequent task is harvesting time prediction, which entails identifying the best time to harvest sugarcane based on the planting period, weather predictions, and sugarcane brix value. The implementation of this automated system not only enhances the productivity of sugarcane cultivation but also serves as a model for sustainable and resource-efficient agriculture.
Abstract
Surveillance video processing requires high efficiency, given its large datasets, demands significant resources for timely and effective analysis. This study aims to enhance surveillance systems by developing an automated method for extracting key events from outdoor surveillance videos. The proposed model comprises four phases: preprocessing and feature extraction, training and testing, and validation. Before utilizing a convolution neural networks approach to extract features from videos, the videos are pre-processed. Events classification uses gated recurrent units. In validation, motions and objects are extraction then feature extraction. Results show satisfactory performance, achieving 79% accuracy in events classification, highlighting the effectiveness of the methodology in identifying significant outdoor events.
