<abstract><title style='display:none'>Abstract</title>The State, as the fundamental unit of the international system, appeals to ultimate power and authority in order to control its own domestic affairs and claims equality as a legal basis regarding its relation with other legal political units. But the existence of the sovereign state in the current international context, where the multiple interdependencies generate divergence and cooperation in the same, is subject to permanent challenges. And the issue is not easy approachable in theory, nor in practice. Like other concepts, as security or democracy, the concept of sovereignty needs to be updated according to the new rules revealed by the process of globalization, rules that are defined not by the equal states, but by the powerful ones.</abstract>

Sovereignty, a Swinging Concept Between International Law and Political Reality

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<title style='display:none'>Abstract</title>
Artificial Intelligence (AI) is playing an increasing role in planning and supporting military operations and becoming a key tool in intelligence and analysis of the enemy’s intelligence. Another field of application of AI is the field of application of autonomous weapon systems and vehicles. The use of AI is expected to have a greater impact on the military functions of human-machine interfaces (machine-learning, man-machine teaming). AI promises to get over the “3V challenge” (volume, variety and velocity) of Big Data, and is also expected to reduce the risks concerning the other “2V” (veracity, value), and to render data processing on a controlled level of decision based on AI’s knowledge. The aim of the article is to provide an overview on the potentials of application of AI in the military and to highlight the need to identify and define measurable indicators to evaluate benefits of state-of-the-art technologies and solutions which are expected to improve quality and performance of operations focusing on key areas as of situational awareness and decision-making support and also logistic and operational planning as well as modelling and simulation (M&amp;S).
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Artificial Intelligence in Military Application – Opportunities and Challenges

<abstract><title style='display:none'>Abstract</title>The beginning of the twenty-first century represents the beginning of the Fourth Industrial Revolution, which, unlike its predecessors, is characterized by great digitalization, higher connections between physical things and the virtual world, the development of genetics, artificial intelligence, hyper connectivity. These characteristics have generated many changes in the way work is performed. In order to meet these challenges, employees must increase their flexibility in the way they perceive work time, wages, tasks, workspace and so on. And, in an era of technology and digitalization, employees must keep their skills and knowledge, related to new technology, up to date. Several other aspects related to employability will be discussed in this article.</abstract>

Challenges in the Fourth Industrial Revolution

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<title style='display:none'>Abstract</title>
The issue of studying the physiognomy of military actions in the light of the influence of the main military strategy schools is integrated into the field of military art as an objective necessity of a relevant analysis of risks and threats that may affect military force and, consequently, to identify effective means and methods of response against them. The conclusion that emerges from the study is that military action will remain the beneficiary of forward-looking thinking and initiative, in which past moments are primarily considered as a source of lessons learned to increase the effectiveness of the actions to come.
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Importance of Strategy in Modern Military Action

<abstract><title style='display:none'>Abstract</title>Permanent communication between bidders and consumers, who are usually spatially and temporarily separated, is a necessity, because prompt and correct information stimulates demand, directs it towards certain products and influences rational consumption, causes changes in the mentalities and attitudes of potential buyers, which will be reflected in the increase in the volume of sold goods and implicitely of the profit, as the sole purpose of the producer. The marketing communication system is the general framework in which promotion takes the form of the promotional mix, based on the four promotional tools: advertising, personal sales, promotion sales and public relations, aimed at presenting the organization, its products and services, at raising awareness of potential customers, and of course, at increasing sales to get more profit.</abstract>

Promotion as a form of Communication of the Marketing Strategy

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<title style='display:none'>Abstract</title>
This article aims to present an architecture for the integration of shallow and deep processing techniques in the context of foreign language learning. Since the concept of “levels of processing” has been originally proposed by Craik and Lockhart in 1972, specialized literature has been constantly tried to replicate this cognitive-based architecture in order to find its applications to different domains. In an endeavor to fill the existing gap in the literature that attempts to “marry” language learning and psycholinguistics, this study offers an added cognitive neuroscience perspective to the understanding of shallow and deep processing encoding mechanisms that facilitate effective language learning. Starting from a brief theoretical report of the role of cognitive processes activated for the acquisition and learning of a foreign language, this study will propose some integrated pedagogical suggestions for promoting learners’ effective processing of L2 data in the classroom.
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Shallow and Deep Processing – An Integrated Cognitive Architecture for Foreign Language Learning

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<title style='display:none'>Abstract</title>
In the rapidly advancing digital age, the surge in malware complexity presents a formidable challenge to cybersecurity efforts, rendering traditional signature-based detection methods increasingly obsolete. These methods struggle to keep pace with the swift evolution of malware, particularly with the emergence of polymorphic and metamorphic variants designed to bypass conventional detection. This study introduces a groundbreaking approach to malware detection by utilizing GPT-2, a cutting-edge language model developed by OpenAI, specifically for the purpose of feature extraction. By applying GPT-2’s deep learning capabilities to the EMBER and Drebin datasets, this research explores the model’s effectiveness in identifying malware through the intricate patterns present in binary data. Contrary to its original design for natural language processing, GPT-2’s application in this context demonstrates a significant potential for enhancing malware detection strategies. The model’s proficiency in extracting complex features from binary sequences marks a notable advancement over traditional methods, providing a more adaptive and robust mechanism for identifying malicious software. However, the study also acknowledges the challenges associated with the interpretability of deep learning models and their susceptibility to adversarial attacks, underscoring the imperative for ongoing innovation in the field of cybersecurity. This exploration into the unconventional use of GPT-2 for feature extraction in malware detection not only showcases the model’s versatility beyond language tasks but also sets a new precedent for the application of unsupervised learning models in enhancing cybersecurity defenses.
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Harnessing GPT-2 for Feature Extraction in Malware Detection: A Novel Approach to Cybersecurity

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<title style='display:none'>Abstract</title>
The escalating complexity and sophistication of software vulnerabilities demand innovative approaches in cybersecurity. This study introduces a groundbreaking framework, named “CodeSentry”, employing a transformer-based model for vulnerability detection in software code. “CodeSentry” leverages a finely-tuned version of the Generative Pre-trained Transformer (GPT), optimized for pinpointing vulnerable code patterns across various benchmark datasets. This approach stands apart by its remarkable computational efficiency, making it suitable for real-time applications − a significant advancement over traditional, resource-intensive deep learning models like CNNs and LSTMs. Empirical results showcase “CodeSentry” achieving an impressive 92.65% accuracy in vulnerability detection, surpassing existing state-of-the-art methods such as SyseVR and VulDeBERT. This novel methodology marks a paradigm shift in vulnerability detection, blending advanced AI with practical application efficiency.
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Codesentry: Revolutionizing Real-Time Software Vulnerability Detection With Optimized GPT Framework

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<title style='display:none'>Abstract</title>
In recent years, there has been a noticeable increase in the production of counterfeit goods, ranging from luxury items to products that have serious repercussions on individuals’ well-being. This article presents the contributing factors to the rise of counterfeiting and its potential socio-economic impacts, including effects on innovation, business partnerships, environmental issues, employment rates and consumers. Research in the field of counterfeiting goods involves using a diverse set of methods to analyze and understand the phenomenon.Document research, such as legal documents, and analyses from international organizations, will give us information about the types of counterfeit goods, trade routes, and market trends.
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General Aspects Related to Counterfeiting of Material Goods

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<title style='display:none'>Abstract</title>
The literature on college attrition rates has revealed that self-efficacy and locus of control play a critical role in academic performance and retention. However, despite the importance of students’ attitudes in academic performance, there have been few studies focused on how to develop students’ self-efficacy and internal locus of control. We examined the impact of motivational book reading on the promotion of self-efficacy and locus of control by leveraging a mixed method study, analyzing quantitative and qualitative data. One hundred diverse, business students participated in the research, where they read one motivational book and wrote essays to reflect their learning and took surveys that measured the quantitative variables before and after reading the book. The analysis revealed that motivational book reading significantly increased self-efficacy and locus of control of the participants. The qualitative analysis revealed that students expressed improvement in self-efficacy and internal locus of control after reading the book. The limitations, practical implications, and future research implications are discussed in this paper.
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Inspirational Book Reading: The Changes in Self-Efficacy and Locus of Control in Minority Students: A Mixed Method Study

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<title style='display:none'>Abstract</title>
The current study is focused on the analysis of methods and means for reducing marine engine exhaust and greenhouse gases (GHGs). The research method consists in identifying equipments that have been applied in the case of small four-stroke marine engines used as emergency generators on board large ships, specifically the Cummins Qsb6.7-G16 model. The results, which were demonstrated by practical experiences of the different possible configurations for the engine studied showed high potential for reducing emissions, but the most suitable alternative is the Selective Catalytic Reduction (SCR).
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Pollution Reduction Methods for an Emergency Diesel Generator Fitted Onboard a Large Container Vessel

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<title style='display:none'>Abstract</title>
Enhancing software quality and security hinges on the effective identification of vulnerabilities in source code. This paper presents a novel approach that combines pattern recognition training with cloze-style examination techniques in a semi-supervised learning framework. Our methodology involves training a language model using the SARD and Devign datasets, which contain numerous examples of vulnerable code. During training, specific code sections are deliberately obscured, challenging the model to predict the hidden tokens. Through rigorous empirical testing, we demonstrate the effectiveness of our approach in accurately identifying code vulnerabilities. Our results highlight the significant advantages of employing pattern recognition training alongside cloze-style questioning, leading to improved accuracy in detecting vulnerabilities in source code.
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Codeguard: Utilizing Advanced Pattern Recognition in Language Models for Software Vulnerability Analysis

<abstract><title style='display:none'>Abstract</title> Communication is one of the most important levers of management that a company can implement for the formation of teams and achieving valuable performance. Communication and management are complementary disciplines and strong business elements for success. Management skills are essential in a business, but all equally important are those relating to the rules for the communication and the way in which a manager knows how to interact with his staff. Being manager not only means to rein in business, but mostly means knowing to coordinate a team, leadership skills and most of all, communicate.</abstract>

“Nicolae Bălcescu” Land Forces Academy, Sibiu,

The Role of Communication in Enhancing Work Effectiveness of an Organization

<abstract><title style='display:none'>Abstract</title>The unanticipated disruption triggered by Coronavirus, also known as COVID-19, has accelerated the shift to virtual workplace ecosystems for employees in the government, business, and the military. The accelerated move to whole organization telework has also created new complex challenges around managing cybersecurity risks. Complex business and governmental organizational ecosystems have several significant and critical job tasks around cybersecurity. These roles have the involved responsibility of functioning as effective teams to handle incident responses, intrusion evaluations, crisis management, crisis communications, forensic data examinations, malware analyzations, firewall assessments, penetration testing, disaster recovery, emergency response planning, risk management, human factor analyzation, training assessment, and active network monitoring. This qualitative research study explores the nuances of employee engagement, organizational development, and the management of virtual and remote cybersecurity teams in ways that enhance complex business and organizational ecosystems in the world of professional practice.</abstract>

Understanding the Talent Management Intricacies of Remote Cybersecurity Teams in Covid-19 Induced Telework Organizational Ecosystems

<abstract><title style='display:none'>Abstract</title>The cybersecurity of critical infrastructures is an essential topic within national and international security as 16 critical infrastructure sectors touch various aspects of American society. Because the failure to provide adequate cybersecurity controls within the critical infrastructure sectors renders the country open to an attack that could have a debilitating effect on security, national public health, safety, and economic security, this matter is so vital that there is the Presidential Policy Directive (PPD) 21 Critical Infrastructure Security and Resilience advances a national policy to strengthen and maintain secure, functioning and resilient critical infrastructure. An organization identified as the Cybersecurity and Infrastructure Security Agency (CISA) at the Department of Homeland Security (DHS) has the mission to be the risk advisor for the United States (US). Other organizations, such as the National Security Agency (NSA), have approved a specific Knowledge Unit (KU) to address cybersecurity for critical infrastructures associated with doctoral-level granting programs. To address this challenge, it is necessary to identify threats better and defend against them while mitigating risks to an acceptable level. Only then can a nation build a more secure and resilient infrastructure for the future while defending against present-day bad actors as cyberwarfare, cyber espionage, and cybersecurity attacks are the modern-day threats that need to be addressed in planning, designing, implementation, and maintenance. Therefore, the researchers developed a case study reviewing threats against different sectors defined in the PPD.</abstract>

Understanding the Challenge of Cybersecurity in Critical Infrastructure Sectors

<abstract><title style='display:none'>Abstract</title>The present research aims to identify the training needs of military students and their perceptions about the importance and necessity of training the intercultural competence, before participating in an international mobility stage. Their mobility takes place within the international Erasmus Plus program. The questionnaire that was the basis of this research had two dimensions. Following the processing of the results, it was found that the students need to be well trained before interacting with a new culture.</abstract>

Training Needs of Military Students on Intercultural Competence

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Land Forces Academy Review

Review of the NICOLAE BALCESCU Land Forces Academy, Sibiu, Romania

This publication aims at disseminating the most outstanding results of scientific research obtained by the teaching staff and researchers belonging to higher education community. The Land...

This publication aims at disseminating the most outstanding results of scientific research obtained by the teaching staff and researchers belonging to...