Cognitive Intelligence Research Articles

Harnessing Value Transmission to Enhance Salesperson Performance and Relationships

The company capable of winning the competition is the company that becomes the choice for the customers. The success of a company in getting a reference on a customer's mind, thus resulting in purchasing actions carried out by customers must be distinct from the company's efforts to know what its priorities on customer desires and give them the best of their needs. One thing that supports this company's success is the management of the sales force. In improving sales force performance, each sales force must have expertise on adapting by digging information about the needs of buyers, own cognitive intelligence and knowledge of product goods. This research highlights the contradictory relationship between relational capabilities on performance power sales. The objective of this study is to analyze variable Value Transmission Effectiveness, which are expected to resolve the contradiction between relational capability and sales performance. A distribution sample was given to Power Seller Pharmacy using a purposive sampling technique. The testing model and hypothesis use an equality analysis model (Structural Equation Model-SEM) with AMOS software

A Meta-analysis of the Relationship between Cognitive Intelligence and the Big Five Assessed by Quasi-Ipsative Forced-choice Personality Inventories: Implications for Predicting Job Performance

A Meta-analysis of the Relationship between Cognitive Intelligence and the Big Five Assessed by Quasi-Ipsative Forced-choice Personality Inventories: Implications for Predicting Job Performance

EMOTIONAL INTELLIGENCE AS AN INTERVENING VARIABLE IN THE WORKPLACE: INSIGHTS FROM A SYSTEMATIC LITERATURE REVIEW

Mankind is driven by intelligence. Cognitive intelligence is presumed to be more significant than the emotional quotient. However, the latter concept has been explored substantially by various researchers in the past showcasing its omnipresence in human life. Despite this, no piece of existing literature has been able to present the contexts under which emotional intelligence has been studied globally. The present study strives to understand the deeper concepts surrounding emotional intelligence and its association with various job-related aspects. The study employs a systematic comprehensive literature review methodology based on inclusive and exclusive standards, ensuring an exhaustive analysis of existing research, leading to a nuanced understanding of EI’s role in the workplace. The findings suggest that EI often acts as an intervening variable, reinforcing its critical importance in the professional environment. Barring a few shortcomings, the article leaves further scope for analysis to completely comprehend the concept empirically. KEYWORDS: Emotional Intelligence, Job Performance, Employee Engagement, and Job Satisfaction.

Embodied cognitive intelligence guided Moon sample collection

Embodied cognitive intelligence guided Moon sample collection

Scalable Multi-FPGA HPC Architecture for Associative Memory System.

Associative memory is a cornerstone of cognitive intelligence within the human brain. TheBayesian confidence propagation neural network (BCPNN), a cortex-inspired model with high biological plausibility, has proven effective in emulating high-level cognitive functions like associative memory. However, the current approach using GPUs to simulate BCPNN-based associative memory tasks encounters challenges in latency and power efficiency as the model size scales. This work proposes a scalable multi-FPGA high performance computing (HPC) architecture designed for the associative memory system. Thearchitecture integrates a set of hypercolumn unit (HCU) computing cores for intra-board online learning and inference, along with a spike-based synchronization scheme for inter-board communication among multiple FPGAs. Several design strategies, including population-based model mapping, packet-based spike synchronization, and cluster-based timing optimization, are presented to facilitate the multi-FPGA implementation. Thearchitecture is implemented and validated on two Xilinx Alveo U50 FPGA cards, achieving a maximum model size of 20010 and a peak working frequency of 220 MHz for the associative memory system. Both the memory-bounded spatial scalability and compute-bounded temporal scalability of the architecture are evaluated and optimized, achieving a maximum scale-latency ratio (SLR) of 268.82 for the two-FPGA implementation. Compared to a two-GPU counterpart, the two-FPGA approach demonstrates a maximum latency reduction of 51.72 and a power reduction exceeding 5.28 under the same network configuration. Compared with the state-of-the-art works, the two-FPGA implementation exhibits a high pattern storage capacity for the associative memory task.

Art based pedagogy in language learning: Practical Study in Teaching Conversation at University Level

Art-based learning in English is able to integrate different forms of art into learning process to enhance language acquisition and creativity, such as visual arts, drama, etc. This approach not only engages students but also supports their cultural and interactive development. Learning a foreign language is a complex and multifaceted process that requires more than memorization and repetition. Recently, researchers have realized the potential of education through the use of arts to create a dynamic and engaging environment that promotes deep understanding and connection between the learner and the language, thus enhancing language skills and nurturing creativity, cultural awareness, and cognitive intelligence. Various arts have accompanied people's lives since ancient times, consciously and unconsciously, and stimulate their interaction, whether through a book, music, a painting, a drama, etc. For this reason the study focus on applying this methodology practically on second level students at translation department in conversation course to investigate the development of their speaking skills and courage to use the foreign language. Students expressed noticeable interest in this way of taking the course and encouraged to suggest more ideas for engaging art pedagogy in other courses.

Design Education under the Influence of Artificial Intelligence New Paradigm

With the evolution of AI technology from computational intelligence to cognitive intelligence, and the rapid development of generative tools and multimodal models, design education is undergoing profound changes in curriculum systems, teaching methods, and industrial ecology. This study explores the impact of AI technology on design education and discusses the future development direction of design education. The research indicates that AI promotes educational model innovation through technological empowerment, curriculum restructuring, and industrial drive. In the future, design education needs to balance technological application with humanistic values, build an "AI-native" educational ecosystem, and cultivate full-chain creative talents who possess both intelligent literacy and critical thinking, in order to meet the new industrial landscape and social demands of the AI era.

Cognitive intelligence routing protocol for disaster management and underwater communication system in underwater acoustic network

Future communication paradigms, such as 6G networks, emphasize self-sustainability, intelligent networking, and secure, adaptive communication. This research presents an innovative routing framework tailored for Underwater Sensor Networks (UWSNs) and Underwater Acoustic Networks (UANs), addressing critical challenges like energy constraints, security vulnerabilities, limited bandwidth, and interference. The proposed system integrates a Multi-Agent System (MAS), blockchain technology, and acoustic communication to enhance security, optimize energy usage, and improve data transmission efficiency. Key features include intelligent node mechanisms, proactive bandwidth and interference management, a multi-hop paradigm, distance-aware longevity strategies, and robust cryptographic protocols. The system is benchmarked against established routing protocols such as GCORP, PER, MARL-MC, and MLAR, demonstrating superior performance. The proposed cognitive intelligence (CI) protocol achieves energy consumption below 120 J per transmission, significantly lower than existing methods. It also achieves end-to-end latency under two seconds in multi-hop scenarios, outperforming alternatives like MARL-MC and GCORP. Additionally, the CI protocol exhibits a packet delivery ratio (PDR) exceeding 90% and an extended network lifetime surpassing 1850 s, making it a robust solution for resource-constrained underwater environments. This work not only addresses the unique demands of underwater networks but also contributes to the vision of self-sustainable and intelligent communication systems, aligning with the broader context of 6G paradigms through energy-efficient routing, cognitive intelligence, and secure, adaptive communication frameworks. The results underscore the effectiveness of the CI protocol in enhancing energy efficiency, reducing latency, and ensuring reliable long-term operation, thereby supporting critical applications like disaster management and environmental monitoring.

Effect of the Use of Electronic Media on the Cognitive Intelligence, Attention, and Academic Trajectory of Medical Students.

Introduction Electronic media are an integral part of university students' academic and personal lives; however, their excessive use may interfere with the cognitive functions critical for learning. Intelligence can be assessed through crystallized intelligence (Gc), which reflects accumulated knowledge, and fluid intelligence (Gf), which is associated with problem solving and adaptability. Also, neurophysiological measurements like the event-related potentials (ERPs), particularly P300, provide high temporal resolution measures of cognitive processing, allowing an assessment of attention (neurophysiological measures) and memory functions. This study hypothesizes that excessive screen time negatively impacts attention, fluid and crystallized intelligence, and academic performance in medical students. Materials and methods A total of 305 second-year medical students from a public university participated in the study (mean age: 20 years). Variables assessed included intelligence, attention, academic trajectory, and screen time. Intelligence was measured using the Shipley-2 test, and screen time was measured using a validated Screen Time Survey. For the neurophysiological measures, a subsample (n=30) underwent ERPrecording with the P300 oddball paradigm for neurophysiological analysis. Academic performance was determined from standardized physiology test scores. Data were analyzed using IBM SPSS Statistics for Windows, Version 25.0 (2017; IBM Corp., Armonk, New York, United States), GraphPad Prism (Dotmatics, Boston, Massachusetts, United States), and Excel (Microsoft Corporation, Redmond, New York, United States) through descriptive and inferential statistics. Results A significant relationship emerged between screen time, cognitive performance, and academic achievement. Participants reported an average daily screen exposure of 7.1 ± 4.3 hours. A negative correlation was identified between screen time and standardized test scores (r = -0.24, p < 0.001), indicating that increased screen use was associated with lower academic performance. Cognitive intelligence assessments revealed that Gf (R² = 0.848) and general cognition (R² = 0.400) were significantly affected, while Gc remained stable (R² = 0.001). Neurophysiological measures showed average P300 latencies of 358.33 ± 45.6 ms and amplitudes of 259.63 ± 61.6 μV. Shorter N100 latencies (86.7 ± 24.6 ms) correlated with better academic performance (r = -0.45, R² = 0.199). Discussion Students with greater screen time exhibited lower standardized exam scores, suggesting that excessive digital exposure may deplete the cognitive resources essential for academic tasks. The decline in fluid and general cognitive intelligence suggests a diminished capacity for problem-solving and adaptability. Neurophysiological markers indicated prolonged latencies and reduced amplitudes of key ERPs (N100, N200, and P300), reflecting impaired attentional control and working memory in students with higher screen exposure. These findings suggest that prolonged screen use contributes to slower and less efficient cognitive processing. Conclusions Excessive screen time, particularly due to recreational electronic media use, negatively affects cognitive performance and academic outcomes in medical students. The observed decline appears to be mediated by deficits in attention and working memory along with a reduction in Gf, which may impair problem-solving skills and adaptability in complex academic settings.

Effects of a Futsal Sports-Specific Program on Cognitive Intelligence in Youth Male Futsal Players

Effects of a Futsal Sports-Specific Program on Cognitive Intelligence in Youth Male Futsal Players

“Zero-Power” Additively Manufactured FHE-Enabled Wireless/5G+ Ultrabroadband Modules for IoT, Industry 4.0 and Smart Cities Applications

In this talk, inkjet-/3D-printed antennas, interconnects, “smart” encapsulation and packages, RF electronics, RFIDs microfluidics and sensors fabricated on glass, PET, paper and other flexible substrates are introduced as a system-level solution for ultra-low-cost mass production of millimeter-wave modules and metasurfaces for communication, energy harvesting and sensing applications. The state- of-the-art area of fully-integrated printable FHE-Enabled broadband wireless modules will be reported covering characterization of 3D printed materials up to E-band, novel printable “ramp” interconnects and cavities for IC embedding as well as printable structures for self-monitoring and anti-counterfeiting packages. The presented approach could potentially set the foundation for the truly convergent flexible wireless sensor ad-hoc networks of the future with enhanced cognitive intelligence and “rugged” packaging. The challenge of power sources of “near-perpetual” RF modules will be discussed, including 5G-enabled wireless power grids as well as energy harvesting approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from shape-changing 4D-printed (origami) packages, reflectarrays and mmW wearable (e.g. biomonitoring) antennas and RF modules. Special attention will be paid on the integration of ultrabroadband (Gb/sec) inkjet-printed nanotechnology-based backscattering communication modules, opto-RF modules as well as miniaturized printable wireless (e.g.CNT) sensors for Internet of Things (IoT), 5G and smart agriculture/biomonitoring applications. It has to be noted that the talk will review and present solutions for “5S Challenges” (Scalability, Sustainability, Speed, Security and Smartness) as well as future directions in the area of environmentally-friendly transient (“green”) RF electronics and “smart-skin’ conformal sensors as well as massively scalable “tile-by-tile” RFID-enabled autonomous reconfigurable intelligent surfaces.

Artificial Intelligence and the Future of Digital Forensic Engagements in Nigeria: Perceptual Evidence from Practitioners and Academics

This study examined the perceptions of practitioners and academics on the use of artificial intelligence for digital forensic engagements in Nigeria. The study adopted a survey research design. Primary data were gathered through instrumentation and administration of questionnaire on selected respondents from audit firms (practitioners) offering forensic accounting services and university accounting academics in Nigeria. A sample size of 400 (approximated to 1 significant figure) was obtained from the entire population with the aid of Cochran formula and convenience sampling technique. Both descriptive and inferential statistical techniques were employed for data analysis. The formulated hypotheses were tested using structural equation modelling. The findings reveal a positive significant path from perceptual intelligence, cognitive intelligence and decision-making intelligence. The outcome of one-sample t-test conducted also shows no significant difference in the mean perceptions between both practitioners and academics on the relevance of artificial intelligence certification to digital forensic engagements. The study recommends that firms should invest in AI capabilities, ensure forensic accountants are adequately certified for AI usage and regulatory bodies should review laws to foster prudent use of these technologies.

The Impact of Mindfulness Intervention on Cognitive Intelligence in Adolescents with Attention Deficit/Hyperactivity Disorder (ADHD) Symptoms

The Impact of Mindfulness Intervention on Cognitive Intelligence in Adolescents with Attention Deficit/Hyperactivity Disorder (ADHD) Symptoms

Multi-Agent-Based Cognitive Intelligence in Non-Linear Mental Healthcare-Based Situations

Multi-Agent-Based Cognitive Intelligence in Non-Linear Mental Healthcare-Based Situations

Integrating Cognitive Intelligence and VANET for Effective Traffic Congestion Detection in Smart Urban Mobility

Integrating Cognitive Intelligence and VANET for Effective Traffic Congestion Detection in Smart Urban Mobility

Integrating BDI Cognitive Intelligence in IIoT: A Framework for Advanced Decision-Making in Manufacturing and Policy Development

Integrating BDI Cognitive Intelligence in IIoT: A Framework for Advanced Decision-Making in Manufacturing and Policy Development

S²Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR.

Scene graph generation (SGG) of surgical procedures is crucial in enhancing holistically cognitive intelligence in the operating room (OR). However, previous works have primarily relied on multi-stage learning, where the generated semantic scene graphs depend on intermediate processes with pose estimation and object detection. This pipeline may potentially compromise the flexibility of learning multimodal representations, consequently constraining the overall effectiveness. In this study, we introduce a novel single-stage bi-modal transformer framework for SGG in the OR, termed S2Former-OR, aimed to complementally leverage multi-view 2D scenes and 3D point clouds for SGG in an end-to-end manner. Concretely, our model embraces a View-Sync Transfusion scheme to encourage multi-view visual information interaction. Concurrently, a Geometry-Visual Cohesion operation is designed to integrate the synergic 2D semantic features into 3D point cloud features. Moreover, based on the augmented feature, we propose a novel relation-sensitive transformer decoder that embeds dynamic entity-pair queries and relational trait priors, which enables the direct prediction of entity-pair relations for graph generation without intermediate steps. Extensive experiments have validated the superior SGG performance and lower computational cost of S2Former-OR on 4D-OR benchmark, compared with current OR-SGG methods, e.g., 3 percentage points Precision increase and 24.2M reduction in model parameters. We further compared our method with generic single-stage SGG methods with broader metrics for a comprehensive evaluation, with consistently better performance achieved. Our source code can be made available at: https://github.com/PJLallen/S2Former-OR.

The Importance of EQ in Organizations: Sample Pacific Rim Trio and Türkiye

In an era where success in the business world is often attributed to individuals, it is essential to consider the sources of human power from multiple dimensions. People possess a range of inherent and acquired traits throughout their lives. These traits, along with values, attitudes, and behaviors, contribute to an individual's cognitive intelligence (IQ) and emotional intelligence (EQ), both of which are crucial for acceptance into an organization. Therefore, it is important to emphasize the significance of EQ alongside IQ within organizations.This study draws on data from the 2019 research "The Intelligence of Nations" by Ulster University researchers Richard Lynn and David Becker, which is widely used for international IQ assessments (including the World Population Review), as well as data from the 2023 Future of Jobs Report published by the World Economic Forum (WEF). According to these reports, basic skill requirements in organizations from Japan, Taiwan, and Singapore—countries that rank in the top three for IQ evaluation—along with organizations in Türkiye, have been examined. In these organizations, EQ, or emotional intelligence, ranks second in terms of basic skill requirements, with the demand for EQ being more than half of the demand for IQ, which is ranked first. While IQ is effectively used to understand information and solve problems, EQ is crucial for facilitating and maintaining organizational coordination by understanding both one's own and others' emotions. Therefore, in contemporary postmodern management, it has been concluded that the emotional intelligence of employees is as important as their IQ, in addition to the traditional emphasis on IQ.

Energy-efficient artificial fish swarm-based clustering protocol for enhancing network lifetime in underwater wireless sensor networks

Underwater wireless sensor networks (UWSNs) face significant challenges, such as limited energy resources, high propagation delays, and harsh underwater environments. Efficient clustering can help address these challenges by grouping nearby nodes to minimize network fragmentation and balance energy consumption. However, placing gateways near the sink node can result in increased communication overhead and higher energy consumption in regions with concentrated data flow. To address these issues, we propose an energy-efficient artificial fish swarm-based clustering cognitive intelligence protocol (EAFSCCIP). EAFSCCIP leverages the collective behavior of artificial fish within a Bees algorithm framework, using a combination of heuristic and metaheuristic approaches for optimal cluster-head (CH) selection in each round. The protocol focuses on reducing energy consumption and extending network lifetime by considering real-time energy levels and the proximity of nodes for CH selection. Simulations have been executed in NS3 to validate and compare the performance of the proposed algorithm with the existing clustering protocols. The results indicate that EAFSCCIP significantly enhances the packet delivery ratio (PDR) by an average of 5.33% over existing methods and improves network lifetime by 6.54% compared to traditional protocols. It also reduces energy consumption by 25.6% and decreases packet loss by 50.5%, while achieving 20.4% higher throughput at the initial stage. These improvements make EAFSCCIP a promising solution for applications like acoustic monitoring in UWSNs, providing a balance between energy efficiency and reliable data transmission.

Smart In-Process Inspection in Human–Cyber–Physical Manufacturing Systems: A Research Proposal on Human–Automation Symbiosis and Its Prospects

This positioning paper explores integrating smart in-process inspection and human–automation symbiosis within human–cyber–physical manufacturing systems. As manufacturing environments evolve with increased automation and digitalization, the synergy between human operators and intelligent systems becomes vital for optimizing production performance. Human–automation symbiosis, a vision widely endorsed as the future of human–automation research, emphasizes closer partnership and mutually beneficial collaboration between human and automation agents. In addition, to maintain high product quality and enable the in-time feedback of process issues for advanced manufacturing, in-process inspection is an efficient strategy that manufacturers adopt. In this regard, this paper outlines a research framework combining smart in-process inspection and human–automation symbiosis, enabling real-time defect identification and process optimization with cognitive intelligence. Smart in-process inspection studies the effective automation of real-time inspection and defect mitigation using data-driven technologies and intelligent agents to foster adaptability in complex production environments. Concurrently, human–automation symbiosis focuses on achieving a symbiotic human–automation relationship through cognitive task allocation and behavioral nudges to enhance human–automation collaboration. It promotes a human-centered manufacturing paradigm by integrating the studies in advanced manufacturing systems, cognitive engineering, and human–automation interaction. This paper examines critical technical challenges, including defect inspection and mitigation, human cognition modeling for adaptive task allocation, and manufacturing nudging design and personalization. A research roadmap detailing the technical solutions to these challenges is proposed.