bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of the waterproof performance and freeze–thaw resistance of cement mortar using stearic-acid-modified mica powder
Authors: Pang Yuyang , Wang Hailiang , Wang Qiang , Tang Qun , Yang Lin , Li Haofei
Published: November 2024

Stearic-acid-modified mica powder (Sammp) was formulated in an attempt to enhance the water and corrosion resistance of cement mortar. The investigation focused on assessing the freeze–thaw (F/T) resistance of Sammp-modified cement mortars, including the water absorption, surface morphology, relative dynamic elastic modulus (RDEM), compressive strength and uniaxial compression behaviour. The water absorption of the Sammp-modified cement mortars decreased by 53.9–64.4% and they showed exhibited excellent F/T resistance, with the RDEM remaining above 90% after 90 F/T cycles, while the RDEM of control specimens decreased to 60%. After F/T treatment, the compressive strength of unmodified specimens experienced a loss rate of 9.74%, which was 3.7 times, 4.29 times and 1.92 times higher than that of the modified specimens with 1%, 3% and 5% Sammp, respectively. A uniaxial compression constitutive model was established to account for the effects of F/T cycles and Sammp contents on the uniaxial compression behaviour of cement mortar. The model demonstrated a strong and reliable correlation with the experimental data.
A new methodology to determine the importance of game attributes.
Authors: Pacheco-Velazquez Ernesto , Rodes-Paragarino Virginia , Rabago-Mayer Lucia , Bester Andre
Published: November 2024

Information and communication technologies have brought about a revolution in how we perceive, interpret, and learn. This ever-changing landscape presents both challenges and opportunities for enhancing students' learning experiences through innovative tools and strategies. One such strategies is collaboration and serious games into teaching, offering safe environments to solve real-world problems, improve comprehension and knowledge acquisition, develop technology skills, foster cooperation and collaboration, and provide an engaging and interactive learning experience. However, the development of effective simulation games requires careful consideration of various factors, including aesthetics, interface, gameplay, learnability, feedback, challenge, immersion, and game design, to name just a few. Evaluating simulation games poses a challenge due to interdisciplinary involvement and the lack of standardized methodology. This article proposes a methodological approach to assess the attributes of simulation games, providing valuable insights for informed decision-making regarding their design, improvement, effectiveness, and challenges in the realm of serious games.
Transdisciplinarity in Serious Gaming Design for Improved Crisis Preparedness
Authors: De Rosa Francesca , Escott Mark , Walkes Desmar , Havron Douglas , Ancel Meyers Lauren
Published: November 2024

Transdisciplinarity is identified as an important paradigm to cope with the complexity of societal problems, such as public health crisis and climate change. It refers to problem solving and research strategies that integrate the knowledge from diverse disciplines to ensure a holistic approach. In the aftermath of the COVID-19 pandemic, emergency management organizations are increasingly incorporating serious games to enhance their preparedness and readiness activities. While some serious games have been used within wider transdisciplinary studies, literature reviews show that the games themselves do not exhibit a sufficient degree of transdisciplinarity. In this paper we present the theoretical approach we introduced to support the integration of transdisciplinary knowledge into the design and development of SGs looking at socially relevant problems (i.e., decision-making during epidemic outbreaks) and we describe how we applied the proposed framework to design the Command, Control, Coordination, and Communication (C3C) Game. Finally, we describe the positive results from a pilot exercise conducted using the C3C Game with public health, healthcare coalition and emergency response decision makers from a large US metropolitan area.
Kullanıcı Deneyimi Tasarımı Odağında Bir Tasarım Bileşeni Olarak İnsan Bilişselliği ve Duygular
Authors: Bayar Ziyacan
Published: November 2024

Günümüzde dijital tasarım ürünleri, deneyim kavramı altında yeni bir bakış açısıyla geliştirilmeye başlanmıştır. İki boyutlu yüzeylerden derinlikli, değişken, modüler ve çok katmanlı dijital iletişimlere doğru evirilen etkileşimli tasarım ürünleri artık estetik ve dikkat çekiciliğinin yanına kullanışlılık, alışkanlık geliştirme, davranışları şekillendirme, insan psikolojisi ve duygularının dikkate alınması gibi yeni yetiler eklemiş, tasarım düşünmeye Duygu Tasarımı üst başlığı ile yeni bir boyut getirmiştir. Çalışma duygu ve deneyim ilişkisini günümüz iletişim tasarımı üretme ve düşünme metotlarına yeni bir bakış olarak tanımlamayı amaçlamakta, duygu ve tasarım ilişkisini çok disiplinli bir bakışla psikoloji bilimi ve tasarım araştırmaları ortak paydasında sentezlemeyi hedeflemektedir. Bunun için çalışma literatür incelemesi ve örnek analizi yöntemlerini kullanmaktadır. Bu sentez ile çalışmanın temel hedefi bugünün tasarımcısının yeni üretim ve düşünme yöntemlerine ışık tutmak ve Deneyim Tasarımı öğretisinin derinliğini arttırmaktır. Araştırma sonunda elde edilen bulguların bugünün Dijital Kullanıcı Deneyimi Tasarımı ortamında duyguya dayalı tasarımlar ve içgörüler geliştirebilmek adına tasarımcılara bir referans noktası olması amaçlanmaktadır.
mRNA vaccine formulation (Precision Nanosystem) v1
Authors: Lopez Carolina
Published: November 2024

Protocol for mRNA formulation using Precision Nanosystem reagents and follow up QC
RNA Extraction using Trizol v1
Authors: Lopez Carolina
Published: November 2024

Protocol for RNA extraction from cell lines and tissue
MODERNIZAÇÃO ECOLÓGICA E SOCIEDADE DO RISCO: TEORIAS SOBRE ESCASSEZ E SEUS REFLEXOS NA LEGISLAÇÃO AMBIENTAL
Authors: Franco Caroline , Polli Simone
Published: November 2024

Este artigo tem como objetivo a construção de um quadro legislativo que evidencia a grande influência das teorias da “Modernização Ecológica” e da “Sociedade do Risco” na legislação ambiental brasileira. A partir de uma revisão bibliográfica, são destacados os principais pontos dessas correntes, que propagam a noção de escassez de recursos naturais associada ao desenvolvimento sustentável, e que ainda fundamentam a hermenêutica ambiental no Brasil. O texto também sintetiza as contribuições das teorias críticas da “Ecologia Política” e da “Justiça Ambiental”, que se opõem a essas teorias dominantes. Com base nas ideias apresentadas, o artigo desenvolve um quadro legislativo original e promove uma avaliação qualitativa  sobre os efeitos do ideário de desenvolvimento sustentável na legislação ambiental, apontando para a necessidade urgente de reestruturações legislativas e de hermenêutica que contemplem, além da eficiência tecnológica, os conflitos socioambientais e as desigualdades estruturais relacionadas à distintas formas sociais e econômicas de apropriação dos recursos naturais.
Globalization of Security Threats: A Vicious Circle
Authors: Maniszewska Katarzyna
Published: November 2024

Statistical data and research suggest a strong correlation between various types of threats, radiating and enhancing each other: terrorism, violent conflicts, ecological threats, and political and economic instabilities. The most affected are the most vulnerable: countries of the Global South, and within those the underprivileged communities and peoples, including Indigenous populations. In this article, the interdependence of various types of threats will be presented based on data from the Global Terrorism Index, the Global Peace Index, the Ecological Threats Report, and the World Bank database. As of November 2023, according to World Bank estimates, over 1 billion people live in fragile and conflict‐affected situations. At the same time, violent conflicts are the primary drivers of terrorism (according to the Global Terrorism Index, in 2023, over 90% of attacks and 98% of terrorism deaths took place in countries in conflict). Moreover, data suggest that ecological threats and resource scarcity can contribute to the emergence and perpetuation of violent conflicts and terrorism. Among the case studies, the situation in the Sahel region will be analyzed with a particular focus on Burkina Faso—one of the least developed countries in the world that, as of 2024, is estimated as the country the most impacted by terrorism in the world. The author hypothesizes that the interdependence of security threats requires addressing those threats in a systemic way (with coordinated actions at local, national, and international levels) to effectively counter the negative impact on societies.
Opportunities and prospects for the use of exogenous nucleases in the treatment of oncological diseases
Authors: Filimonova Maria N. , Khadiullina Raniya R. , Bulatov Emil R.
Published: November 2024

The presented literature review provides up-to-date information on the oncosuppressive effects of exogenous nucleases derived from various sources. Exogenous nucleases, such as RNaseA, BS-RNase, onconase, and DNaseI, have the ability to degrade low-molecular-weight extracellular DNA and RNA circulating in blood plasma, which may significantly reduce the risk of metastasis. The role of extracellular DNA and RNA in oncogenesis, as well as the impact of exogenous nucleases on their quantity, is described. The prospects of using nucleases in combination with other therapeutic methods, such as chemotherapy and radiotherapy, to enhance their effectiveness and reduce side effects, are discussed. Additionally, the targets and mechanisms of action of nucleases, as well as the possibility of their combined use with other therapeutic agents, are considered. A conclusion is drawn about the potential effectiveness of exogenous nucleases in cancer therapy.
Functional reserves and adaptive capabilities of the body in conditions of oxidative stress
Authors: Nesteruk Alexander V. , Shalimov Pavel M. , Grebennikov Nikolay B. , Vengerovich Nikolay G. , Ustinova Tatyana M.
Published: November 2024

The review is devoted to the problem of forming functional reserves and increasing the adaptive capabilities of the human body to the action of negative factors of various nature, including those accompanied by violations of the antioxidant status. Functional reserves are determined by the metabolic and bioenergetic capabilities of the body, as well as the possibility of interaction of organs and body systems for self-regulation and optimization of its physiological functions. The levels of functional reserves determine the body’s ability to adapt urgently or long-term. Oxidative stress is a non–specific pathogenetic process that develops as a result of a sharp increase in oxidative (free radical, peroxide) processes with insufficient functioning of the endogenous antioxidant system of the body. Almost all pathological conditions are more or less accompanied by the development of oxidative stress, which determines the relevance and prospects of this study. Urgent and long-term compensatory mechanisms in oxidative stress are associated with the optimization of cellular energy supply and the state of the endogenous antioxidant system of the body, in which a special role belongs to the correction of mitochondrial disorders. Ensuring the functional capabilities of the body for urgent adaptation is possible using a complex of pharmacological preparations of multifunctional action based on antioxidants. Increasing the effectiveness of the formation of long-term adaptation is advisable due to the moderate and short-term effect of prooxidants on the body, for example, in widespread hypoxic training.
Measuring Fruit Size via Deep Learning Using a Single Camera
Authors: Jou Ying-Tzy , Shih Yun-Yun , Chang Chia-Ying
Published: November 2024

This study focused on grading the quality of fruit in packaging plants. Fruit grading requires a body of standard data, which is difficult to achieve in practice. In most studies, relevant data are established solely by the researcher during the course of the research. We mounted cameras at fixed locations on machines to collect image and weight data, allowing farmers to create data feeds without disrupting their work. The system consists of a database of 400 images that were manually labeled and trained on a deep learning network architecture. During the training process, 70% of the images in the database were randomly selected for training, and the other 30% were used for verification to ensure that the training process did not over-learn, as over-learning leads to a decrease in the recognition rate. After the position of the fruit in the image was detected through deep learning, the foreground and background were separated, the information about the fruit was extracted, and the total number of pixels was calculated. Automatic measurement was achieved by converting pixels to millimeters using standards in the environment. The detection rate of the proposed system was over 98%. Using 50 manual measurements of fruit size and automatic detection results for error analysis, the diameter error value was 15.3 mm and the length error value was 14.45 mm.
Effects of land use systems on total organic carbon and carbon in the oxidizable fractions of soil organic matter
Authors: Cândido Ensinas Maekawa Simone , Larissa de Souza Luana , Stephanie Beluque Gonçalves Giovanna , Menani Heid Diego
Published: November 2024

Adopting conservationist land use systems can contribute to soil carbon storage and minimize climate change. Given the above, the research aimed to quantify and compare the contents of total organic carbon (TOC) and oxidizable fractions of soil organic matter (SOM) in different land use systems. The research was conducted in soils classified as Latossolo Vermelho Distroférrico; soil samples were collected in the 0-0.10, 0.10-0.20, and -0.20-0.30 m soil layers. The treatments consisted of five land use systems (soybean/corn succession in a no-till system, cassava in conventional tillage, eucalyptus, permanent pasture, and reformed pasture) plus a reference area (native cerrado vegetation). The adoption of the no-till system was efficient in promoting greater increases in TOC contents, on the other hand, conventional tillage presented the lowest TOC contents throughout the soil profile (0-30 cm) studied. No-till system promoted the best benefits in increasing carbon in the F1 (labile), F2 (moderately labile), and F3 (recalcitrant) fractions of SOM. Determining carbon in the oxidizable fractions of SOM proved sensitive for evaluating changes caused by land use systems. Adopting the no-till system contributes consistently to increasing TOC contents, helping to mitigate greenhouse gas emissions and promoting improved soil quality.
Development of a data exchange service between software systems
Authors: Tandalov Kirill D. , Pechenin Vadim A.
Published: November 2024

This article presents the development of a service information model for data exchange between ERP and MES systems used for planning and control of production processes. The purpose of the service is the efficient transfer and structuring of information between databases in the production process, as well as control of operations through the user interface. This approach allows for the integration of various external software systems, which is an urgent task in the field of automation and control of production processes. The service was implemented in Python using SQLAlchemy to work with PostgreSQL databases. The graphical interface of the service allows you to edit the required JSON template, used for working with databases. Testing was carried out on two databases for a system for monitoring the movement of parts during the production process, confirming the functionality and reliability of the service.
Application of a high-speed balancing facility digital model to prepare and conduct trials for aircraft engine rotors
Authors: Shaposhnikov Konstantin V. , Degtyarev Sergey A. , Ryzhenkov Valentin M. , Leontiev Mikhail K.
Published: November 2024

The paper presents digital model of vacuum high-speed balancing facility MAI. Russian and foreign experience of usage of vacuum chambers for rotor balancing and research purposes was reviewed. Example of usage of the proposed high-speed balancing facility digital model for development of the layout scheme of the high-pressure rotor of aviation engine with low-bypass ratio inside the facility prior its testing was observed. Example of usage of finite element model of vacuum chamber for identification of resonant modes related to coupled modes of the struts-facility dynamic system was shown. The issues of damping consideration during preparation of vacuum facility computational models were observed. Dynamic model of vacuum balancing facility built in DYNAMICS R4 software for further usage in simulations related to rotordynamics was proposed. The issues of computational rotor models preparation on example of verification of high-pressure rotor model based on results of virtual modal tests, performed for its main load frame structure on the base of its solid finite element model, were observed. Principle of model creation for rotor-bearings-tooling-struts-balancing facility dynamic system was described. Example of usage of vacuum facility dynamic model for planning of dynamic tests of high-pressure rotor related to investigation of constructive measures related to its assembling on vibration activity of the rotor in operating range was shown. The case of usage of the vacuum facility dynamic model to prepare for the experiments related to rotor dampers operation check during rotor tests at high-speed balancing facility was observed.
Optimization of probabilistic operational characteristics
of a neural network algorithm for predictive diagnostics
of industrial equipment failures through automated processing of a training sample
Authors: Nekrasov Ivan V. , Konstantinovskiy Yuriy D. , Kukin Nikolay S.
Published: November 2024

The paper considers the optimization of probabilistic operational characteristics of a neural network algorithm for predictive diagnostics of industrial equipment malfunctions. The probability of a false alarm and the probability of detecting a malfunction are accepted as optimized parameters, which are generally accepted metrics for the effectiveness of situation analysis and decision-making systems. The task of optimizing operational characteristics is decomposed to the level of influencing technical parameters of the system and reduced to finding the optimal values of the base calculation time of the derivatives of the measured technological parameters and the time of fault development. Automated processing of the training sample allows you to reduce the time spent on creating a system for predictive diagnostics of industrial equipment failures. The result of optimization of the probabilistic operational characteristics of the neural network algorithm is presented and optimal values of the variable parameters are obtained, as well as a result of training and testing on real telemetry data of the electric power pump of the turbine unit of the CHP, optimal values of the optimized parameters are obtained, according to which conclusions are drawn and further actions are proposed to improve the result.
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Automatic mosaic method of remote sensing images based on machine vision
Authors:   School of Mechanical and Electrical Engineering, Quanzhou University of Information Engineering, Gao S.P. , Xia M. ,   School of Mechanical and Electrical Engineering, Quanzhou University of Information Engineering,   Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science and Technology, Zhang S.J. ,   College of Engineering and Technology, Yang-En University
Published: November 2024

Unmanned Aerial Vehicle (UAV) remote sensing is a commonly used technical means in modern science and technology, but currently, remote sensing images captured by UAVs need to be spliced to obtain more comprehensive information. However, current image stitching techniques generally have shortcomings such as a small number of extracted features, low matching accuracy, and poor stability. To address the above issues, this study proposes an improved remote sensing image mosaic model on the bias of the Scale Invariant Feature Transform (SIFT) algorithm. Firstly, in this study, aiming at the problem that traditional SIFT cannot meet the requirements of feature extraction and matching for unconventional remote sensing images and special texture images, normalized cross correlation (NCC) and Forstner operator are introduced to optimize it, namely, a SIFT-NCC model is constructed. On this basis, for remote sensing images with high resolution and a wide range, this study further proposes a remote sensing image automatic mosaic model that combines point features and line features. That is, a linear segment detector (LSD) is introduced to extract the line features of remote sensing images. The experimental verification results of the final SIFT-NCC-LSD show that the matching accuracy for remote sensing images with different characteristics can reach over 95 %. Therefore, SIFT-NCC-LSD has good applicability.
Comparative performance evaluation of classical methods and a deep learning approach for temperature prediction in fiber optic specklegram sensors
Authors:   Facultad de Ingeniería, Universidad Cooperativa de Colombia, Vélez F.J. ,   School of Applied Sciences and Engineering, EAFIT University, Arango J.D. ,   Facultad de Exact and Applied Sciences, Instituto Tecnológico Metropolitano, Aristizábal V.H. ,   Facultad de Ingeniería, Universidad Cooperativa de Colombia, Trujillo C.A. ,   School of Applied Sciences and Engineering, EAFIT University, Herrera-Ramírez J. ,   Facultad de Exact and Applied Sciences, Instituto Tecnológico Metropolitano
Published: November 2024

In this study, an algorithm based on convolutional neural networks is employed as an interrogation method for a fiber specklegram sensor. This algorithm is compared with conventional interrogation methods, including correlation between images, measurement of optical power, and radial moments. Fiber specklegram sensors have room for improvement as conventional methods only consider a single characteristic of the specklegram for variable prediction, thus failing to leverage the full spectrum of information within the specklegram. Consequently, the approach put forth here introduces a convolutional neural network for the extraction of specklegram features, accompanied by an artificial neural network for variable regression. The specklegrams used in this investigation are obtained through simulating temperature disturbances in a multimode fiber using the Finite Elements Method. The results reveal prediction RMSE errors ranging from 10.26°C for the first radial moment to 1.42°C for the proposed algorithm. These findings underscore the effectiveness of the proposed strategy in enhancing sensor performance and robustness, all while upholding their cost-efficiency.
On estimating the local entropy of an image in a sliding window
Authors:   Samara National Research University, Sergeyev V.V. ,   Image Processing Systems Institute, NRC "Kurchatov Institute", Bavrina A.Y. ,   Samara National Research University,   JSC «Samara-Informsputnik», Zaitsev I.D. ,   Samara National Research University, Lazutov M.Y. ,   Samara National Research University, Shapiro D.A. ,   Samara National Research University
Published: November 2024

The paper considers a number of issues related to the calculation of the local entropy in a sliding window for image processing tasks. A new algorithm for entropy estimation is proposed, which has several times lower computational complexity than the known ones. The algorithm is based on the approximate representation of the histogram in the form of a truncated series expansion over some system of orthogonal basis functions, recursive calculation of the coefficients of this expansion in a sliding window and subsequent recalculation of the coefficients into the entropy estimate. Questions of an orthogonal basis selection for representing the local histogram as a truncated series are considered and the appropriateness of using the Haar basis is shown. A technique of constructing hierarchical approximator, which realizes fast recalculation of histogram decomposition coefficients into entropy value, is described. The theoretical statements of the paper are verified by experiments on the Earth remote sensing images.
A TRANSFORMAÇÃO DIGITAL NA EDUCAÇÃO: DESAFIOS E OPORTUNIDADES PARA O SÉCULO XXI
Authors: Sena Kesia Reis , Lima Adriano Guimarãe , Silva Francinete dos Santos
Published: November 2024

A sociedade moderna está imersa em um cenário de constante evolução tecnológica, e a educação não é uma exceção. A transformação digital está redefinindo a forma como aprendemos, ensinamos e nos engajamos com o conhecimento. Objetivo: compreender os principiais desafios e a entender as benéfices da transformaçao digital para a educação. Método: Trata-se de um estudo de revisão bibliográfica realizada por meio de bases de dados virtuais, em que dez pesquisas foram selecionadas a critério de relevância e proximidade com a proposta desse estudo e compuseram o “n” amostral. Discussões: A modificação tecnológica tem impactado profundamente diversos setores da sociedade, e a educação não é exceção. No contexto contemporâneo, onde a tecnologia permeia todas as esferas da vida, é imperativo que as instituições educacionais se adaptem e incorporem as ferramentas digitais em seus processos de ensino e aprendizagem. Esse movimento não apenas acompanha a evolução tecnológica, mas também busca promover uma educação mais acessível, inclusiva e eficiente. Palavras-chave: Transformação Digital, Educação, Desafios, Inclusão.
Field Evaluation of the Bioactivity of Flonicamid and Flubendiamide and Their Mixtures with the Lemongrass, Cymbopogon citratus, Essential Oil on Fall Armyworm (Lepidoptera: Noctuidae) Infesting Sweet Corn and Dissipation of Chemicals in Seeds and Husks1
Authors: Moustafa Moataz A.M. , El-Said Nourhan A. , Alfuhaid Nawal AbdulAziz , Hefny Dalia E. El , Helmy Rania M.A. , Fónagy Adrien , Ibrahim EL-Desoky S.
Published: November 2024

Chemical insecticides are currently the major management means used against Spodoptera frugiperda (J.E. Smith) larvae on sweet corn (Zea mays L. var. saccharata) in Egypt. However, essential oils-based pesticides (EOs) and new insecticides might also be used. As a first report, this study aimed to assess the effectiveness and biochemical impact of lemongrass (Cymbopogon citratus Stapf) EO, flonicamid, and flubendiamide insecticides alone or in combination for managing S. frugiperda on sweet corn under field conditions. In addition, the dissipation of these compounds was determined in corn seeds and corn husks using the QuEChERS method combined with high-performance liquid chromatography (HPLC-DAD). The field efficacy trials showed that flubendiamide alone or in combination with lemongrass EO was more effective than either lemongrass EO or flonicamid alone or combined. Additionally, biochemical analysis revealed that detoxification enzymes may play an important role in S. frugiperda adaptation to flonicamid and flubendiamide. The residues of flonicamid and flubendiamide in corn seeds were undetectable in all treatments. Conversely, corn husks contained high levels of flubendiamide and flonicamid residues after application at high dosages. Interestingly, the dissipation rates of both tested insecticides increased when combined with lemongrass. The half-life values for flonicamid following the applications on corn husks alone or in combination with lemongrass EO were 4.44 and 2.45 d, respectively, while the half-life values for flubendiamide were 1.25 and 2.72 d, respectively. Our results show the potential use of flubendiamide alone or with lemongrass EO for managing S. frugiperda on sweet corn crops.
Sepsis, Hypothermia, and the Emergence of Osborn Waves: A Case Report
Authors: Elfaramawy Amr , Arafa Ramadan , Alshirawi Nehad
Published: November 2024

Hypothermia and sepsis are two serious clinical entities with overlapping presentations, both capable of inducing electrocardiogram (ECG) abnormalities. We present a rare case of a 43-year-old male patient with coincident sepsis, acute kidney injury, and profound hypothermia that was complicated by the development of Osborn ( J) waves and conduction abnormalities on the ECG. The patient’s core temperature was gradually restored to normal utilizing both passive and active rewarming techniques, resulting in the disappearance of the Osborn wave. Concurrently, his cognitive state and cardiovascular parameters became stable after intensive sepsis treatment. Osborn waves arise from changes in the action potential and ion channel activity between the epicardium and the endocardium. These phenomena can be detected in several medical circumstances, including hypothermia, sepsis, subarachnoid hemorrhage, Brugada syndrome, and acute coronary syndrome. This case highlights the complexity of the diagnosis and management of such clinical scenarios.
Las comunidades energéticas locales como agentes clave para la transición energética
Authors: Lara Ortiz María Lidón
Published: November 2024

La implementación de medidas efectivas en el camino hacia la transición energética, para lograr niveles de emisiones de CO2 que no comprometan la seguridad climática, ha estado bloqueada durante décadas debido a la creencia de que las medidas necesarias para combatir el cambio climático deben adoptarse en el ámbito global, ya que este desafío tiene trascendencia mundial. En la actualidad, los procesos de transición energética se están logrando a través de medidas locales. Este artículo analiza la implementación y el régimen jurídico de las comunidades energéticas locales en el derecho español, para examinar las posibilidades que el ordenamiento jurídico español ofrece en cuanto a su configuración.
Effect of Moisture Depletion Rate and Irrigation Water Depth on the Productivity and Water Use Efficiency of Soybean Crop (Glycine max L.) Merr. under Drip Irrigation and Fixed Sprinkler Irrigation Systems
Authors: AlShamary Wael F.A. , Sharif Yaseen Obaid Noori Ahmed , Noori Noorjan Essmat , Kahlel Abdel-Monnem S.
Published: November 2024

Background: Water management and its appropriate use are priorities in arid and semi-arid areas across the globe. Methods: A field experiment was carried out at Hisar in Al-Tunkopry district, Kirkuk Governorate, during 2023 summer season. Split-split plot design was adopted to implement the experiment, using randomized complete blocks design (RCBD). The main plots included irrigation method factor (sprinkler and drip) and the moisture depletion rate was placed in the sub plots (60 and 70% of the available water) while varing irrigation depth were placed in the sub-sub plots (50, 75 and 100)% of the net irrigation depth. Result: Results of the study revealed that the water requirement of the soybean crop under the sprinkler irrigation system reached 1275.9 and 1272.9 mm season-1 at 100% of net irrigation depth and at moisture depletion rates of 60 and 70%, respectively and in drip irrigation system it reached 1170.6 and 1201 mm season-1 for an irrigation level of 100% of the net irrigation depth and at a moisture depletion rate of 60 and 70%, respectively. The yield coefficient values (0.52, 0.90, 1.01, 0.90) and (0.44, 0.85, 0.96, 0.52) at a moisture depletion of 60% for the two methods (drip and sprinkler irrigation). The highest seed yield was 4.094 Mg ha-1 for the sprinkler irrigation treatment with a moisture depletion rate of 60% and an irrigation water level of 50% of the net irrigation depth, while the lowest yield was 2.41800 Mg ha-1 for the drip irrigation treatment with a moisture depletion rate of 60 and a level of 75% of the net depth. The drip irrigation achieved the highest water use efficiency 0.607072 kg m-3, in comparison to the sprinkler irrigation 0.362063 kg m-3.
Evaluation of the Biochemical and Hormonal Parameters of Athletes
Authors: Yıldırım Sibel , Akyüz Ömer
Published: November 2024

Aim: The aim was to evaluate the biochemical and hormonal parameters of athletes using reference ranges.
Methods: The study sample consisted of 25 male athletes with an average age of 28.50±4.25 (years) who played active professional football in the 2022-2023 season. Basal blood samples were collected 48 hours after the game at rest in the biochemical testing laboratory. The frequency distribution was calculated to determine the distribution of the athletes' biochemical parameters within and outside the normal range. The normal values for each parameter and the high or low deviations from these values were analysed.
Results: According to the results of the study, ALT and AST levels were 28.38±9.86 U/L and 36.69±14.08 U/L, respectively, bilirubin level was 1.12±0.39 mg/dL, iron level was 114.58±34.63 µg/dL, ferritin level was 110.95±110.94 ng/mL, glucose level was 73.62±6.76 mg/dL and the average HDL cholesterol level was 62.47±12.32 mg/dL, the total cholesterol level 178.58±23.97 mg/dL, the LDL cholesterol level 109.49±19.10 mg/dL, the vitamin B12 level 575.15±251.55 pg/mL, the transferrin level 2.36±0.27 g/L and the thyroglobulin level 103.94±473.45 µg/L.
Conclusion: It was found that ALT, AST, ferritin, bilurubin, iron, glucose, HDL cholesterol, vitamin B12, transferrin and thyroglobulin levels were within the reference range and normal range in a large proportion of athletes, but LDL cholesterol levels were too high in 50% of athletes and total cholesterol levels were too high in 11.5% of athletes.
VINCENZO CONSOLO IL LINGUAGGIO DELL'IMMAGINAZIONE: ORALITÀ, MEMORIA ED EQUIVALENZE MEDITERRANEE
Authors: Troisi Salvatore Cristian
Published: November 2024

In questo articolo, vorremmo sottolineare che memoria, linguaggio e oralità costituiscono una triade di elementi indissolubilmente legati nelle opere letterarie dell'autore messinese. Tale legame non solo rappresenta un’indicazione della sua speculazione stilistica e letteraria, ma anche una speculazione teorica che si evolve costantemente in tutte le fasi della sua carriera, come si evince dal suo famoso saggio "La metrica della memoria". Il linguaggio utilizzato dallo scrittore si costruisce su un doppio asse tra lingua e dialetto, strutturandosi su un piano verticale e palinsestico. È proprio in questo "cammino" verso la memoria che si edifica la sua scrittura "barocca", dove si incontrano equivalenze mediterranee.
“O FIM DE NOSSAS POLÍCIAS?”
Authors: Toledo Fabio Lopes , Gorete Marques de Jesus Maria
Published: November 2024

O artigo tem como objetivo examinar eventuais reflexos gerados pelo Recurso em Habeas Corpus 158.580 (RHC 158.580), decisão da 6ª Turma do Superior Tribunal de Justiça (STJ) que considerou ilegal a revista pessoal baseada apenas em atitude suspeita. A pesquisa tem como ponto de partida evento sobre abordagem policial e busca pessoal no qual o palestrante, juiz de direito da auditoria da Justiça Militar, tece diversas críticas ao posicionamento adotado pelo STJ, bem como apresenta entendimentos contrários à decisão oferecidos por outros atores. A partir dos elementos apresentados no evento, buscou-se explorar os impactos da decisão em outras arenas de disputa. No âmbito do Poder Legislativo, foram pesquisadas todas as propostas que tiveram como objeto abordagem policial. No que se refere ao Poder Judiciário, foi realizada pesquisa jurisprudencial a fim de observar quantas decisões mencionam o RHC 158.580, bem como o resultado dos julgados. Ao final do trabalho, além de críticas apresentadas pela mídia, foi possível notar a resistência de tribunais de justiça estaduais em seguir o posicionamento adotado pela 6ª Turma do STJ, assim como a criação de projetos de lei contrários à decisão, elaborados por parlamentares notadamente defensores da Polícia Militar.
AR-in-a-Box: A Structured 8-Step Framework for Cybersecurity Awareness
Authors: MIHAI Ioan-Cosmin
Published: November 2024

AR-in-a-Box, developed by the European Union Agency for Cybersecurity (ENISA), offers a comprehensive framework to guide organisations in creating effective cybersecurity awareness programs. Through a structured 8-step process, this toolkit helps organisations set objectives, secure resources, manage human capital, segment audiences, select communication tools, plan timelines, implement programs, and evaluate outcomes. This paper explores each step in detail, incorporating state-of-the-art research and real-world case studies to demonstrate AR-in-a-Box's effectiveness in fostering a cybersecurity-conscious culture. Through targeted communication, interactive elements, and performance metrics, AR-in-a-Box enables organisations to embed cybersecurity awareness and improve resilience against evolving cyber threats.
Fake News
Authors: CĂLIN Dan-Ion , BARCAN Alexandru , CONSTANTIN Ciprian
Published: November 2024

The terms "fake news" and "falsehood" have become ubiquitous in contemporary society. They influence or alter the way in which people perceive reality. The challenge of combating fake news lies in its ability to evade detection and capture the attention of a growing number of individuals. It has the potential to alter the way reality is perceived, impact the reputation of institutions and organisations, and even pose a threat to national security by influencing perceptions of values and risks. In today's context, fake news has emerged as a significant vulnerability, with the potential to be exploited as part of hybrid warfare strategies. One proposed method for combating the spread of fake news is the development of critical thinking skills that are specifically designed to identify such information and mitigate its influence on personal beliefs and values.
Artificial Intelligence - A Challenge of the 21st Century?
Authors: TAUBER Gabriel-Virgil , VASILE Sergiu-Adrian
Published: November 2024

Artificial Intelligence is an innovation of modern technology, a concept transformed into reality. It is the result of sustained work by talented computer science pioneers who have turned their dreams into reality. As we have shown in this article, Artificial Intelligence brings both opportunities and significant risks, given the access some people have to data and information that can influence our entire existence. Human specificity lies in the desire to overcome one's limits and to make one's everyday life easier. However, in a society in constant transformation, we must be aware that not everything that helps us is necessarily beneficial, and vice versa. The future will be the one that will judge the direction of the technology of modern society and our ability to adapt to new challenges. This revolutionary field represents an opportunity, but also a vulnerability, which prompts us to reflect and analyze: "How long will we use artificial intelligence before it starts using us?"
Profile of Persons Who Act in the Field of Computer Criminality
Authors: GOLOP Vasile-Cătălin , SĂVULESCU Natalia
Published: November 2024

This article examines the profile of individuals involved in cybercrime activities, focusing on their psychological traits, motivations and technical skills. The study identifies common typologies of cybercriminals, ranging from individual hackers to organized groups, and examines the factors that contribute to choosing this type of illegal activity, such as social influences and opportunities in the online environment. The research hypothesis argues that individuals who commit cybercrime exhibit distinct characteristics that vary according to their goals and resources. The research method used combines case analysis with interviews and comparative studies, highlighting the diversity of profiles and the adaptability of offenders to emerging technologies. The results provide useful insights for implementing preventive measures and streamlining cybercrime investigations.
Assessing Web Security in E-Learning Systems
Authors: MIHALACHE Denisa-Nicoleta
Published: November 2024

The exponentially evolution of the internet and the increasing sophistication of cyber threats have made securing web servers and web applications a critical concern in today's digital landscape. This research explores the security vulnerabilities of e-learning platforms, particularly Moodle, and demonstrates practical exploitation methods to highlight the risks. A key focus is the development and deployment of a custom script to create a trojan virus leveraging the Right-to-Left Override (RLO) technique. This malware, disguised as a legitimate e-learning material, infiltrates the platform, lists system files, and injects malicious code into Python files, showcasing a high-impact threat vector.
Haveria um mol de grãos de areia no planeta Terra?
Authors: Sabadini Edvaldo , De Morais Almeida Vinícius
Published: November 2024

Este artigo promove uma reflexão sobre a magnitude do número de Avogadro. É uma grandeza fundamental na química, que cria uma “conexão” entre os mundos microscópico e macroscópico. Avogadro propôs que em uma dada massa de gás sob as mesmas condições de temperatura e pressão, haveria o mesmo número de moléculas. Em 1860, esta hipótese foi apresentada no famoso Congresso de Karlsruhe, na Alemanha, que contou com a presença de cientistas renomados, e teve como objetivo a padronização da nomenclatura e das massas atômicas. No início do século XX, as questões sobre o número de Avogadro, o movimento browniano e, especialmente, se átomos e moléculas eram entidades reais, estavam profundamente relacionadas. Dois grandes cientistas, Albert Einstein e Jean Perrin, responderam a elas. Um dos aspectos mais fascinantes do número de Avogadro é seu tamanho e capacidade de demonstrar quão minúsculo é o mundo atômico em relação ao mundo que vivenciamos. A pergunta do título funciona como um confronto comparativo entre eles. A resposta quase imediata à pergunta é sim. Há, sem dúvida, muito mais do que um mol de grãos de areia. No entanto, como será mostrado, o resultado é bastante surpreendente.
Transformações e complexidades no trabalho docente
Authors: Barros Lyra Andrade , Mello Fábio Mansano de
Published: November 2024

Este artigo se propõe a analisar as memórias dos professores em relação ao processo de trabalho docente, explorando categorias da alienação e consciência de classe, das condições de trabalho e autonomia docente, do produtivismo acadêmico e a intensificação do trabalho, principalmente em tempos pandêmicos. Tais elementos revelam as múltiplas dimensões da precarização do trabalho. O texto aponta resultados em recente pesquisa no mestrado em Memória, Linguagem e Sociedade (UESB), em que investigamos o trabalho docente à luz do Materialismo Histórico Dialético, utilizando as categorias analíticas da totalidade e contradição. A pesquisa tem o intuito de discutir e contextualizar o trabalho, a educação, a mercantilização e a precarização no contexto da Universidade Estadual do Sudoeste da Bahia.
Korelasi Pengetahuan Ekofeminisme dengan Keterlibatan Konsumen pada Gerakan Sustainable Beauty Sociolla Kota Banjarmasin
Authors: Ariani Siti Noor , Hamid Ismar
Published: November 2024

The beauty industry is experiencing significant growth, leading to the potential for substantial environmental impact. Thus, changes in human behavior are key to addressing the environmental crisis. This research aims to determine the correlation between ecofeminism knowledge and consumer involvement in the Sociolla sustainable beauty movement in Banjarmasin. There are two hypotheses in this study: Hypothesis (1) Beauty product consumers understand ecofeminism ethics. Hypothesis (2) There is a relationship between ecofeminism ethics and the Sustainable Beauty Movement. This study uses a quantitative method with purposive sampling, involving 50 respondents. Data were collected using the ecofeminism ethics scale (consisting of 13 valid items, with α = 0.952) and the sustainable beauty movement scale (consisting of 14 valid items, with α = 0.865). The data analysis techniques employed include descriptive statistics, simple regression, and correlation. The results show a positive and moderately strong relationship between ecofeminism ethics and the sustainable beauty movement (r = 0.502). The more consumers understand ecofeminism ethics, the stronger their behavior supports environmental sustainability. The contribution of ecofeminism ethics to the sustainable beauty movement is 36.2%, with the remainder contributed by other factors. The conclusion of this study is that the first hypothesis (H₁) stating that women have an understanding of ecofeminism is accepted. Furthermore, the second hypothesis (H₂) stating that there is a relationship between ecofeminism ethics and the sustainable beauty movement, including the use of recycle stations among beauty product consumers, is accepted. Continuous use of beauty products by consumers can increase waste from used beauty products. Recycle stations aim to reduce environmental impact, and it is hoped that consumers who have not yet participated will join in realizing environmental sustainability, especially in the beauty industry.
Potret Struktur Patriarki melalui Bahasa Seksis pada Player Perempuan dalam Game Mobile Legends Bang Bang
Authors: Morty Sa'adiah Dwitiya , Damaiyanti Varinia Pura
Published: November 2024

The entry of women into online games that are dominated by men creates a new case where women become victims of discrimination using sexist language. This research was conducted in the Miaw Ladies community group, which is a community specifically for women in the mobile game Legends Bang Bang. This research aims to find out and provide an overview of the sexist language that is often encountered by female players in the mobile game Legends Bang Bang and wants to know how patriarchal structures are maintained through sexist language in the game. This research uses qualitative research with a Feminist Method approach. The results of the research found that there were two types of sexist language experienced by female players, namely sexist language which leads to obscenity and derogatory sexist language. Obscene sexist language found in the mobile game Legends Bang Bang equates women with sex workers, equates women with vaginas, and even insults players' parents by calling them sluts. Sexist language demeans the majority of female players as being stupid in the field of online gaming, deeming women inappropriate to play online games, and belittling women's abilities in the field of online gaming. The results found are in accordance with Luce Irigaray's opinion that language is a tool used to maintain patriarchy in society by insulting and belittling women and feeling superior in the field of gaming. Mobile Legends: Bang Bang game players should be more respectful and appreciative of fellow players without discriminating against any gender.