Human Life Research Articles

The natural history of social bonds.

This paper reviews the evolutionary processes that shape the evolution of sociality in mammalian species in an effort to understand the importance of sociality in the lives of modern humans. A body of theory and empirical evidence compiled by behavioral ecologists helps us to understand why (some) other animals live in groups, why group-living animals form differentiated social bonds, how animals benefit from their social connections, and why some individuals are more social than others in their groups. Together, the answers to these questions help us to understand why humans are such social creatures, and why our social connections play such an important role in our lives.

Knowledge Management Approach to Data Mining Process in Smart Business

The aim of this study is to examine new technologies in the field of information technology and the impact of these technologies on the field of learning, especially e-learning. Advances in information and communication technology have affected various dimensions of human life in recent years. With the expansion of information technology and the penetration of remote communication tools, learning tools and methods have also undergone changes; As individuals can learn by using the available resources. Therefore, the development of e-learning courses has grown rapidly and expanded, and while improving the quality of education, it has become one of the most popular educational methods. This article discusses the development and advancement of new technologies such as cloud computing, the Internet of Things, big data, responsive design, and wearable technology, and their irreplaceable role in e-learning. In addition, the challenges facing the field of e-learning are also examined.

CA2CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image Analysis.

Pathological diagnosis assists in saving human lives, but such models are annotation hungry and pathological images are notably expensive to annotate. Contrastive learning could be a promising solution that relies only on the unlabeled training data to generate informative representations. However, the majority of current methods in contrastive learning have the following two issues: (1) positive samples produced through random augmentation are less challenging, and (2) false negative pairs problem caused by negative sampling bias. To alleviate the above issues, we propose a novel contrastive learning method called Cluster-Aware Adversarial Contrastive Learning (CA2CL). Specifically, a mixed data augmentation technique is provided to learn more transferable representations by generating more discriminative sample pairs. Furthermore, to mitigate the effects of inherent false negative pairs, we adopt a cluster-aware loss to identify similarities between instances and incorporate them into the process of contrastive learning. Finally, we generate challenging contrastive data pairs by adversarial learning, and adversarially learn robust representations in the representation space without the labeled training data, which aims to maximize the similarity between the augmented sample and the related adversarial sample. Our proposed CA2CL is evaluated on two public datasets: NCT-CRC-HE and PCam for the fine-tuning and linear evaluation tasks and on two other public datasets: GlaS and CARG for the detection and segmentation tasks, respectively. Extensive experimental results demonstrate the superior performance improvement of our method over several Self-supervised learning (SSL) methods and ImageNet pretraining particularly in scenarios with limited data availability for all four tasks. The code and the pre-trained weights are available at https://github.com/junjianli106/CA2CL.

Pengertian Ilmu Akhlak Tasawuf dan Perannya dalam Menumbuhkan Karakter Mahasiswa

Morals and Sufism have an important role in shaping human personality, especially for students as the next generation of the nation. This is important because by having good morals, various other things will follow as well. Morals in Islam are not only related to behavior, but also reflect the spiritual relationship between the individual and his God. Meanwhile, Sufism as a spiritual practice aims to achieve self-purity and get closer to Allah. This study reviews the relationship between morals and Sufism, including linguistic approaches and terminology, as well as its benefits in human life. In historical development, Sufism has developed through various schools and figures who contributed to the spread of spiritual values ​​in society, including in Indonesia. The positive impacts of Sufism include the formation of an attitude of sincerity, inner peace, and piety, while the negative impacts can be a tendency to isolate oneself in an extreme way. This study confirms that morals and Sufism are interrelated in shaping humans who have noble morals and are oriented towards spiritual values.

Problematyka życia według Listu św. Pawła do Filipian

The aim of St. Paul’s theological thought presented in the Letter to the Philippians is to show that earthly life is a full of hope waiting for meeting with Jesus and that the totality of eternal life depends of temporal life. Man is exposed to all sorts of difficulties and temptations but he or she is able to overcome them on condition that he or she leads the life according to the Spirit. St. Paul’s theological thought emphasizes that human life should go in accord with faith in the saving mission of Jesus. To live – means to exist not just for himself or herself, but for Him, because new life will have its proper shape only when we start the fullness of being with Jesus. The man’s task is shaping continually the Christian life through the acceptance and observance of the commandments and the sanctification of each other. These actions should go further, so that their fruits were noticeable outside of believers community, in order that unbelievers may recognize God acting in believers. St. Paul emphasizes also that eternal life is a summation of all the promises given by Jesus.

Application of machine learning in early warning system of geotechnical disaster: a systematic and comprehensive review

Enhancements in monitoring and computational technology have facilitated data accessibility and utilization. Machine learning, as an integral component of the realm of computational technology, is renowned for its universality and efficacy, rendering it pervasive across various domains. Geotechnical disaster early warning systems serve as a crucial safeguard for the preservation of human lives and assets. Machine learning exhibits the capacity to meet the exigencies of prompt and precise disaster prediction, prompting substantial interest in the nexus of these two domains in recent decades. This study accentuates the deployment of machine learning in addressing geotechnical engineering disaster prediction issues through an examination of four types of engineering-specialized research articles spanning the period 2009 to 2024. The study elucidates the evolution and significance of machine learning within the domain of geotechnical engineering disaster prediction, with an emphasis on data analytics and modeling. Addressing the lacunae in existing literature, a user-friendly front-end graphical interface, integrated with machine learning algorithms, is devised to better cater to the requisites of engineering professionals. Furthermore, this research delves into a critical analysis of the prevalent research limitations and puts forth prospective investigational avenues from an applied standpoint.

RANCANG BANGUN SISTEM INFORMASI PERSEDIAAN BARANG BERBASIS WEBSITE

The advancement of technology has significantly facilitated various aspects of human life, including business, health, education, and more. One such technological application is the use of computer-based inventory management systems that streamline data management processes, from recording to quick and accurate data retrieval, while also monitoring assets. PT. SAC Nusantara, established in 1971, faces challenges in its Bandar Lampung branch, where inventory management is still done manually, leading to slow data input, frequent errors in stock calculations, and delayed reporting. To address these issues, a computerized inventory management system is needed to improve efficiency, accuracy, and monitoring. This study aims to design, build, and develop a web-based inventory management system to replace the manual processes. The research utilizes the Framework for the Applications of System Thinking (FAST) method, which is flexible and allows for rapid development with user involvement in each stage. The system is designed to automate the recording and reporting process, reduce errors, and improve real-time inventory tracking. The FAST method, along with Data Flow Diagram (DFD) and Entity Relationship Diagram (ERD), will be used to analyze and design the system. The system's functionalities, such as item entry, exit records, and reporting, are evaluated through black-box testing. The expected outcome of this research is a web-based inventory management system that increases the efficiency and effectiveness of inventory management, providing accurate and timely data that will support decision-making processes. The findings indicate that the implementation of this system will significantly improve inventory handling at PT. SAC Nusantara's Bandar Lampung branch.

Decoding wayfinding: analyzing wayfinding processes in the outdoor environment

Navigating complex environments is crucial for human life, yet understanding the cognitive processes involved in its wayfinding component remains challenging. One theoretical model that explains these processes is Downs and Stea’s four-step model. Our study builds on this model to empirically analyze its steps, focusing particularly on the monitoring step. Machine learning models were trained on gaze behavior and head/body movement data from over 300 routes walked by 56 participants in a real-world outdoor study, predicting three of these wayfinding steps: self-localization, route planning, and goal recognition. Applying this trained model to the respective monitoring segment of the same routes suggests that monitoring includes micro-versions of these three steps, indicating it operates as a recursive process rather than a distinct cognitive step. By bridging theoretical frameworks with empirical evidence, these findings enhance our understanding of spatial cognition and can inform the design of navigational tools and urban spaces.

Research Opportunities in Human Life Applications based on Artificial Intelligence, Machine Learning and Internet of Things using Graph Theory

This is review based paper which consist of different research opportunities in human life applications based on AI, ML & IoT using graph theory and also listed different software tools can help for same. The integration of Artificial Intelligence (AI), Machine Learning (ML) and the Internet of Things (IoT) has revolutionized various fields, offering promising solutions to human life applications. Graph theory, with its ability to model complex networks and relationships, plays a crucial role in optimizing and enhancing the functionality of AI, ML and IoT systems. This paper explores emerging research opportunities in leveraging graph theory to address challenges in human life applications, focusing on areas such as healthcare, smart cities, transportation and environmental monitoring. In healthcare, graph-based models can optimize personalized treatment plans and improve patient monitoring by analyzing the interconnectedness of variables such as medical histories and real-time data from IoT-enabled devices. In smart cities, IoT devices generate vast amounts of data and graph theory can be used to model traffic, energy consumption and social interactions to create more efficient urban environments. Furthermore, in transportation, AI and ML algorithms can leverage graph structures to improve route planning, traffic management and fleet optimization. The synergy of AI, ML, IoT, and graph theory offers new frontiers for research in these areas, with the potential to significantly improve the quality of human life. This paper emphasizes the need for interdisciplinary research to fully realize the potential of these technologies in real-world applications.

THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE BUSINESS TRANSFORMATION OF FEMALE ENTREPRENEURS

Innovations and breakthroughs happen in the blink of an eye in today's technology era, making this the most exciting period in human history. Industrial robots, self-driving automobiles, fitness watches, and online tutorials are examples of Artificial Intelligence (AI) technology advancements. Artificial intelligence (AI) has become a significant aspect of our daily life, with implications for mankind, society, and business. The previous several years have been phenomenal for artificial intelligence, and nearly every company is now altering its strategy and business models to incorporate AI into all commercial activities. Artificial intelligence (AI) is a rapidly growing and popular industry topic. Artificial intelligence is already being used in a wide range of fields, including business and daily life. Artificial intelligence in business could lead to a shift towards more efficient, cost-effective, and precise marketing techniques. By incorporating AI into marketing practises, an entrepreneur can gain a significant competitive advantage over other online businesses. Aside from marketing, it may also be used to renovate businesses with fresh ideas. It also handles complex issues, resulting in enormous corporate growth. As a result, in this study, we will investigate the expansion of the business sector and entrepreneurs through the application of AI topology and its function in many fields of business. However, because businesses are currently uninformed of the implications of AI adoption, its impact must be managed. The goal of this essay is to look into the impact of artificial intelligence on female entrepreneurs' business transformation. Artificial intelligence, which is already widely accepted, provides a wide range of options and has the potential to transform the workplace. AI will assist companies in planning for the challenges that will come as a result of the rapid improvements in technology in human life and industry. AI has been proved to have a favourable impact on all corporate operations by increasing sustainability and market leadership. Key Words: Artificial Intelligence, Female Entrepreneurs, Business Transformation

Understanding and cultivation of nature connectedness in China: An analysis of national moral education school textbooks for primary students

ABSTRACT Most of the research about nature connectedness has been conducted in Western countries and is characterised by dualism between humans and nature. This article examines how China understands and attempts to foster children’s connection to the natural world. Analysis of the current moral education primary school textbooks in China reveals that the principal way in which the relationship between humans and nature is portrayed is that humans are seen as an intimate part of nature. Nature is seen as beautiful, living, mysterious and wise. The textbooks do not advocate, as Western scholars often do, taking children outdoors to experience and connect with wilderness. Instead, they guide children to ‘discover nature’ within their own living environment, even within human-made objects, fostering an understanding that nature is omnipresent and integral to human existence. They assert that the improvement of human life and of nature are not in tension but intricately linked.

PHILOSOPHY, HUMANISM AND DEVELOPMENT IN AFRICA

Since the wake of postcolonial era in Africa, philosophers have unceasingly reflected on political ideas that can serve as harbinger for social transformation and development in Africa; from socialism, Marxism, welfarism, Pan-Africanism, Ubuntuism, to humanism. Odera Oruka is one of the foremost African philosophers whose thoughts on humanism and philosophy, though less known and controverted, entail some strategic directions for addressing the challenges of development in Africa. This paper seeks to interrogate Oruka’s understanding of humanism and philosophy in Africa in order to explore its functional relation to the question of development. Oruka conceives humanism as the ultimate moral standard, which involves the quality and security of human life. Bemoaning the obscene disregard for humanism in Africa, Oruka hypothesizes a critical and dialectical philosophy as an antidote to what he called ARID (African Republic of Inhumanity and Death). Notwithstanding the fertile points in Oruka’s thought, arguments are raised in this paper that humanism is a concept with diverse interpretations, which apparently do not fit into one formula as Oruka depicts. Beyond Oruka’s discourse on philosophy and humanism in Africa (as opposed to African philosophy and African humanism), this paper discusses the view that sees African humanism as the defining element of the Africaness of African philosophy. It consequently defends the position that African humanism can serve as a positive ideological springboard for sustainable development in Africa.

DSS-YOLO: an improved lightweight real-time fire detection model based on YOLOv8

Fire disasters pose significant risks to human life, economic development, and social stability. The early stages of a fire, often characterized by small flames, diffuse smoke, and obstructed objects, can lead to challenges such as missed detections and poor real-time performance. To address these issues, we propose a DSS-YOLO model based on an improved YOLOv8n architecture, designed to enhance the recognition accuracy of obscured objects and small targets while reducing computational overhead. Specifically, we replace all C2f modules in the Backbone with DynamicConv modules to reduce computation without sacrificing feature extraction capabilities. We also introduce the SEAM attention mechanism to improve detection of obscured and small targets, and the SPPELAN module at the end of the Backbone to enhance detection across different scales. The model is evaluated using the public dataset mytest-hrswj, which contains diverse fire scenarios, including indoors, forests, and buildings. Compared with the original YOLOv8n, the DSS-YOLOv8 model proposed in this paper improves mAP by 0.6% and Recall by 1.6%, while reducing the model size and FLOPs by 3.4% and 12.3% respectively. The results of this study provide effective technical support for intelligent fire monitoring systems, significantly reducing the computational cost of the model. It enhances real-time fire detection capabilities in complex fire scenarios, facilitating the early detection of fire hazards and helping to minimize the damage caused by fires.

THE IMPACT OF RELIGION ON MENTAL HEALTH

Religion has been the most important factor affecting people's lives since ancient times. Even when people acquire a new identity, the influence of religion plays a role. The fact that religion surrounds human life in many ways manifests itself at almost every moment of a person's life. We can witness this in the theories given about religion. At the same time, religion also has a big role in mental health. In our article, various factors affecting mental health such as mental health, stress, depression, hopelessness are described. At the same time, the question of what religion is was also tried to be answered. After these statements, issues such as religion-mental health, religiondepression, religion-hopelessness, religion-loneliness were touched upon separately. The influence of religion on these feelings has been discussed. Psychologists have obtained different results about the relationship of these emotions with religion. In the article, we touched on the positive aspect of the possible impact of religion on mental health. The results obtained by the majority of psychologists investigating these issues are positive.In the article, the positive aspects are mentioned by referring to the factor that has an important impact on eliminating the psychological difficulties that surround the lives of many people today.

Investigation of Electroencephalographic (EEG) Brainwave Signal on Mental Stress through Psychomotor Activities

Mental well-being plays a crucial aspect in human life alongside physical health. A positive mental health allows individuals to engage in healthy relationship, navigate challenges in a positive manner and enjoys a sense of fulfilment upon achieving goals. Conversely, when mental health is not well taken care of, it can impair one’s ability to function well in daily life, which subsequently leads to depression and anxiety disorder. Hence, early detection and intervention is necessary for individuals experiencing mental health challenges. The aim of this work is to study the recorded Electroencephalogram (EEG) signals of human subjects for stress detection while engaging in psychomotor activity. EEG signals captured from electrodes were sent to OpenBCI on a laptop via a ganglion board for analysis. The data was then exported to Matlab for further analysis using Fast Fourier Transform (FFT) and was monitored in real time using Python. Volunteers between the ages of 18 and 50 were carefully chosen, and the experimental conditions were closely monitored to reduce any external factors that could affect stress levels and EEG readings. The findings reveal notable changes in brainwave frequencies observed during periods of stress: a decrease of 18.95% in alpha waves, a 9.89% increase in beta waves, and a 5% rise in delta waves. Comparison was also carried out by placing the electrodes at different location on the subject’s head Significantly, there was a 7.5% increase in alpha readings at the top electrode positions, with beta (4.76%) and theta (1.93%) readings also showing growth at the side positions on the head. An accuracy of 65% was obtained using the developed monitoring system. This research effectively illuminates the relationship between mental stress, physical activity, and EEG brainwave patterns. It highlights the important role that brainwave frequencies play in influencing stress and cognitive responses during physical activity. In addition, the advancement of real-time monitoring systems offers dynamic tools for observing stress, improving opportunities for personalized therapies and strategies for well-being.

Factors that influence behavioral intention in m-payment users in Surabaya

Many aspects of human life have shifted as a result of the rapid advancement of digital technology. Almost every aspect of human life that has been handled traditionally has begun to transition to the digital realm. In the economic field, digital payments using smartphones, also known as m-payments, are one proof of technological advances in the use of digital payments or m-payments. This study aims to analyze the factors that influence the behavioral intentions of m-payment users in Surabaya. The theory used in this study is UTAUT (Unified Theory of Acceptance and Use of Technology) with 6 independent variables (performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit), 1 mediating variable (behavioral intention), 1 dependent variable (use behavior). Respondents in this study were 150 people who were analyzed using the SEM (Structural Equation Modeling) method of data processing and testing using SmartPLS software. Based on the results of data processing, shows that performance expectations, effort expectations, social influence, facilitating conditions, hedonic motivation, and habits have a positive effect on behavioral intentions. As well as behavioral intentions have a positive effect on usage behavior.

A Religious Garment for a Marksmen’s Festival? On the Theological Compatibility of Local Festival Culture

A pastor and academic theologian is invited to perform a devotional service at a marksmen’s festival in a small German village. Unaccustomed to this kind of festive culture, he also finds himself confronted with theological and ethical questions: Is it possible to provide a place of shooting with rifles and pistols with a prayer service and thus shape it liturgically as a place of God’s blessings? One could also ask: is it not necessary for theology to engage with communal forms of festivity, not just theoretically, but performatively, if Christianity itself is fundamentally festive? According to practical-theological reasoning, occasional services, i.e., celebrations of life rites, accompanying liminal situations and transitionary events of human life are growing in variety and importance and “new occasional services” are being developed. Also, the church and (public) theology continuously search and find their role in civil society. After all, there are many life situations in which God’s blessing should be clothed in a festive garment. But in which way is the marksmen’s festival to be considered? Two theologians explore these questions—autoethnographically and theoretically—and thus shed light on the marksmen’s festival as a theological topic.

Seismic reliability analysis of reinforced slope considering soil parameter dependence structure

Research on the seismic performance of slopes is of great significance for ensuring the long-term stability of engineering projects, protecting human life and property, and reducing economic losses. Previous studies have shown that when studying slope stability, it is essential to consider the dependence structure among soil parameters. Therefore, in this study on the seismic reliability of reinforced slopes, the Copula function was introduced to represent the dependence structure between soil cohesion and the internal friction angle. In combination with the stochastic ground motion model of engineering physics, soil samples and ground motion samples were generated based on the Generalized F-discrepancy (GF-discrepancy) point selection method, and their assigned probabilities were obtained simultaneously. Subsequently, the dynamic response of the slope under the combined stochastic effects was simulated, and the Generalized Probability Density Evolution Method (GPDEM) was used to quantitatively evaluate the reliability of the reinforced slope structure under different failure thresholds. The results indicate: (1) The folded geogrid reinforced slope demonstrates superior seismic performance; (2) The Frank Copula function can better characterize the dependence structure between the soil parameters selected in this study, providing a sufficient number of effective samples for stochastic research; (3) Based on GPDEM, the structural reliability curves under different thresholds can be obtained rapidly. The research findings have important theoretical implications for the seismic reliability analysis and structural design of reinforced slopes.

Core-shell structured waste paper/biocarbon composite providing exceptional electromagnetic interference shielding and flame retardancy.

Core-shell structured waste paper/biocarbon composite providing exceptional electromagnetic interference shielding and flame retardancy.

The cross-cultural adaptation and psychometric properties of the menstrual health instrument (MHI) among Iranian adolescent females

BackgroundMenstrual health encompasses a holistic state of physical, mental, and social well-being rather than simply the absence of illness associated with the menstrual cycle. It touches all aspects of human life. However, few tools are available to comprehensively examine the various areas of menstrual health. This study aimed to assess the psychometric properties of the menstrual health instrument (MHI).MethodThis study employed a cognitive method to psychometrically evaluate the English version of the Menstrual Health Questionnaire. This questionnaire consists of 29 items and 5 domains, including Affective symptoms, Somatic symptoms, school life, Daily habits for menstrual health, Menstrual cycle characteristics, Attitudes and perceptions on menstruation. It was conducted on 412 adolescent girls aged 13 to 18 from high schools in Babol City in 2023. Confirmatory and exploratory factor analyses were conducted in this study.ResultsA total of 412 adolescent girls from girls’ high schools in Babol City participated in this study. The mean age and mean age of menarche in participants were 14.20 ± 0.80 and 12.14 ± 0.99, respectively. The highest correlation among the 5 scales of the Menstrual Health Questionnaire was observed between emotional symptoms and physical symptoms and daily activities (r = 0.736, p < 0.001). In the content validity quantitative phase, all items of the original 29-question questionnaire had appropriate CVR and CVI and were retained in the study. The results of confirmatory factor analysis of the original questionnaire indicated that the hypothesized model has a reasonably good fit (Chi-square statistic = 846.09, CFI = 0.93, RMSEA = 0.057). The overall Cronbach’s alpha was 0.87. Finally, in the exploratory factor analysis within the same population for the initial 29 questions, 17 questions remained with 3 factors at the end of the structural validity phase, which explained 64.52% of the variance.ConclusionThe Persian version of the menstrual health questionnaire, with three extracted factors, demonstrates appropriate validity and reliability for use in studies related to menstrual health among Iranian girls.