Human Life Research Articles

Synthesis of N-alkyl azoles carrying metal complexes for catalytic and medicinal applications

Drastic increase in water pollution due to industrial waste specifically dyeing reagents that are disturbing the water cycle ultimately may vanish the aquatic and human life. The current study focused on the synthesis of N-alkylated imidazole’s derivatives and their complexes; tetrakis(3-propyl-2,3-dihydro-1H-imidazol-1-yl)cerium(III) nitrate/C1 and tetrakis(3-butyl-2,3-dihydro-1H-imidazol-1-yl)cerium(III) nitrate/C2 with cerium(III) hexahydrate nitrate. Structural confirmation and chemical environment of synthesized products were confirmed by using FT-IR, FT-Raman, and NMR spectroscopic techniques. Synthesized complexes were evaluated as catalyst by using various independent variables like contact time, dose of catalyst and concentration of catalyst for degradation of Methyl Orange (MO) and Murexide (MX). RSM analyses via Central Composite Design (CCD) model of all these variables were designed and average degradation efficiencies were calculated in the range of 80–90 % that made the synthesized complexes fantastically fit for catalytic applications. Moreover, the ligands used in syntheses of complexes possessed characteristics to inhibit the growth of mutated cells of prostate and HeLa cell lines. Their IC50 values L1, L2, C1 and C2 were observed in the range of 21.3–23.6 µl for PC3 cell line and 12.72–19.51 µl for HeLa cell lines and compared with reported drug called Doxorubicin (Control). Thus, the syntheses of L1, L2, C1, and C2 successfully encountered the need of the concerned issues. They possessed extra-ordinary catalytic (about 84–94 % degradation of textile dyes) and pharmacological (anticancer activity against HeLa cell line and PC3 cell line) potential.

Towards emotion-aware intelligent agents by utilizing knowledge graphs of experiences

Because of the increasing presence of intelligent agents in various aspects of human social life, social skills play a vital role in ensuring these systems exhibit acceptable and realistic behavior in social communication. The importance of emotional intelligence in social capabilities is noteworthy, so incorporating emotions into the behaviors of intelligent agents is essential. Therefore, some computational models of emotions have been presented to develop intelligent agents that exhibit emotional human-like behaviors. However, most current computational models of emotions neglect the dynamic learning of the affective meaning of events based on agents’ experiences. Such models evaluate the events in the environment according to emotional aspects without considering the context of the situations. Also, these models capture the emotional states of agents by using predefined rules determined according to psychological theories. Therefore, they disregard the data-driven methods that can obtain the relationships between appraisal variables and emotions based on natural human data with fewer assumptions on the nature of such relationships. To address these issues, we proposed a novel and unified affective-cognitive framework (EIAEC) to facilitate the development of emotion-aware intelligent agents. EIAEC uses appraisal theories to acquire the emotional states of the agent in various situations. This paper contains four main contributions: 1- We have designed an efficient episodic memory that uses events and their conditional contexts to store and retrieve knowledge and experiences. This memory facilitates emotional expressions and decision-making adapted to the situations of the agent. 2- A novel method has been proposed that learns context-dependent affective values associated with events by using the agent’s experiences in various contexts. Subsequently, we acquired appraisal variables using the elements and related meta-data in episodic memory. 3- We have proposed a new data-driven method that maps appraisal variables to emotional states. 4- Moreover, a method has been developed to update the activation values regarding actions by using the emotional states of the agent. This method models the influence of emotions on the agent’s decision-making. Finally, we simulate a driving scenarios in our proposed framework to manifest the generated emotions in different situations and conditions. Moreover, we show how the proposed method learns the affective meaning of events and actions used in appraisal computing.

Recent Advancement in Drug Development for Treating Malaria using Herbal Medicine and Nanotechnological Approach.

More than two hundred million people around the world are infected with malaria, a blood-borne disease that poses a significant risk to human life. Single medications, such as lumefantrine, primaquine, and chloroquine, as well as combinations of these medications with artemisinin or its derivatives, are currently being used as therapies. In addition, due to rising antimalarial drug resistance, other therapeutic options are needed immediately. Furthermore, due to anti-malarial medication failures, a new drug is required. Medication discovery and development are costly and time-consuming. Many malaria treatments have been developed however, most treatments have low water solubility and bioavailability. They may also cause drug-resistant parasites, which would increase malaria cases and fatalities. Nanotechnology may offer a safer, more effective malaria therapy and control option. Nanoparticles' high loading capacity, concentrated drug delivery, biocompatibility, and low toxicity make them an attractive alternative to traditional therapy. Nanotechnology-based anti-malarial chemotherapeutic medications outperform conventional therapies in therapeutic benefits, safety, and cost. This improves patient treatment compliance. The limitations of malaria treatments and the importance of nanotechnological approaches to the treatment of malaria were also topics that were covered in this review. The most recent advancements in nanomaterials and the advantages they offer in terms of medication delivery are discussed in this article. The prospective therapy for malaria is also discussed. Additionally, the limitations of malaria therapies and the importance of nanotechnology-based approaches to the treatment of malaria were explored.

Modelling of Reliability Indicators of a Mining Plant

The evaluation and prediction of reliability and testability of mining machinery and equipment are crucial, as advancements in mining technology have increased the importance of ensuring the safety of both the technological process and human life. This study focuses on developing a reliability model to analyze the controllability of mining equipment. The model, which examines the reliability of a mine cargo-passenger hoist, utilizes statistical methods to assess failures and diagnostic controlled parameters. It is represented as a transition graph and is supported by a system of equations. This model enables the estimation of the reliability of equipment components and the equipment as a whole through a diagnostic system designed for monitoring and controlling mining equipment. A mathematical and logical model is proposed to calculate availability and downtime coefficients for different structures within the mining equipment system. This analysis considers the probability of failure-free operation of the lifting unit based on the structural scheme, with additional redundancy for elements with lower reliability. The availability factor of the equipment for monitoring and controlling the mine hoisting plant is studied for various placements of diagnostic systems. Additionally, a logistic concept is introduced for organizing preventive maintenance systems and reducing equipment recovery time by optimizing spare parts, integrating them into strategies aimed at enhancing the reliability of mine hoisting plants.

A common law in space for public health

Beyond the gravitational pull of Earth, space travel poses substantial public health hazards pertaining to the physical and mental well-being of astronauts and passengers, in addition to a possible threat to the populace of Earth upon re-entry. Exposure to cosmic radiation, cranial pressure from microgravity, weakened immunity to contagion, and the potential for depression and psychosis are all risks. Public health crises of this nature are to be expected as the duration of missions extends, as is the case with Mars settlement. In contrast to national space programmes, which have regarded these obstacles as human factors effecting the mission, public health law in common law British nations approaches them from the perspective of social justice and the preservation of human life and societal welfare. Countries including Australia, Canada, the United States, and the United Kingdom continue to apply traditional common law principles of public health law, which provide a sensible and enduring method for reconciling competing public and private interests. Common law permits the violation of civil liberties through the use of force in public health restraint, forced medication, and quarantine, but only if necessary, reasonable, and equitable. While the understanding of the health challenges associated with long-duration spaceflight may be in its infancy for national space programmes and civilian space ventures, the application of common law public health principles could aid in the establishment of health and safety protocols in which human reactions to crises in space resemble those observed on Earth. This may, nevertheless, necessitate the enactment of a more comprehensive federal public health statute. Embedded in both public health common law and international space law, the pre-eminence of preserving and respecting human life and well-being continues to be a cornerstone of humane justice despite the perilous conditions of space.

Improved Cascade-RCNN for automatic detection of coronary artery plaque in multi-angle fusion CPR images

Coronary heart disease is a disease that seriously endangers human health and life which is caused by plaque formation due to coronary artery atherosclerosis or spasm. The detection of coronary plaques through medical imaging is a non-destructive and fast diagnostic method, which holds significant medical and clinical value for the diagnosis of coronary heart disease. In this paper, We proposed an automatic detecting method for coronary artery vulnerable plaque based on CTA image sequence. We collected CTA image sequences from 132 patients and obtained the coronary artery tree by performing three-dimensional (3D) segmentation. The coronary artery centerline was extracted using the skeleton thinning method. To address the issue of insufficient features in a single CPR image, we constructed Curved Planar Reconstructed (CPR) images from multiple directions perpendicular to the coronary artery, following the centerline. In total, we established 8797 images in the training dataset and 1553 images in the test dataset. We proposed an attentive detection method that fused a new Cascade RCNN ResNet50-FPN neural network model with a convolutional attention module (CBAM). This method achieved automatic recognition and detection of plaques on the two-dimensional multi-angle fused CPR images. The proposed ResNet50-FPN network performed feature extraction, and CBAM was added after the first and last convolutional layers to enhance the network’s attention to plaque features. Our experimental results demonstrate that deep learning neural networks can provide a feasible approach to automatically detecting coronary artery plaques. Our method achieved a plaque detection accuracy of 94.6%, outperforming the RCNN method proposed by Zriek.

Identification of potential landslide in Jianzha county based on InSAR and deep learning

Landslide disasters have characteristics of frequent occurrence, widespread impact, and high destructiveness, posing serious threats to human lives, property, and the ecological environment. Timely and accurate early identification of landslides remains an urgent issue within the disaster prevention field. This study focuses on Jianzha County, Qinghai Province, integrating PS-InSAR, SBAS-InSAR, and optical remote-sensing techniques to delineate potential landslide-prone areas. Utilizing Google Earth imagery and existing landslide datasets, potential landslide points were identified through a deep learning model. Results indicate the following: (1) In Jianzha County, the variation trend of the average surface velocity monitored by PS-InSAR and SBAS-InSAR technology is consistent, and the deformation monitoring results are reliable. (2) Utilizing the deep learning model, 56 potential landslide points were identified, comprising 39 high-risk points and 17 medium-risk points. By integrating the spatial distribution data of historical geological disaster points, 10 out of 13 previously occurred landslide disaster points were found to be located at the identified high-risk landslide points, achieving a detection accuracy of 76.92%. (3) The spatial distribution of landslide points exhibits clustering, with slopes ranging from 10° to 40°, elevations between 15 and 30 m, and slope orientations predominantly toward the northeast. (4) Landslide formation is correlated with seasonal precipitation concentrations and temperature fluctuations. This method can provide a crucial basis for large-scale surface deformation monitoring and early identification of landslide risks.

Influence of torque flow, pressure on the performance of a fire pump at the gas complex level

In recent years, motor pumps have played an increasingly important role in transferring fluids by increasing pressure, such as in power plants, hydrocarbon complexes and oil companies. Although these companies have advantages, their lack of maintenance can negatively impact their production, resulting in wasted costs and time, as well as putting human lives at risk. Restoration and modernization with improper maintenance or wrong policies can lead to critical and dangerous situations for equipment, the environment and people. And in this sense, we will be interested in the problem of protection against a fire in a gas installation; with the aim of carrying out a performance test of the electric pump which aims to evaluate the performance of the pump of the firefighting network of the gas complex. To achieve our objective according to the NFPA 20 Standard we have the following approach: Verification of measuring instruments. Installation of an ultrasonic flow meter. Application of the performance test on the fire pump. Controls flow according to pressure. Projection of the results obtained on the manufacturer's performance curve. The comparison between the manufacturer's performance curve and the performance curve obtained. Analysis of the results obtained. Finally, to monitor pump performance, we recommend the immediate installation of a permanent flow meter at the pump discharge level and avoid any type of risk.

The Prominence of the Broad-Spectrum Protease inhibitor gene A2ML1 as a potential biomarker in cervical cancer diagnostics using Immunotherapeutic and Multi-Omics approaches

One of the venereal tumors that threaten human life is cervical cancer. A2ML1 is detected in advanced-stage cancer patients and is found to be strongly associated with cervical cancer. A2ML1 was shown to be substantially expressed in cervical cancer in this study, which used data from the TCGA database. Those with high A2ML1 expression had a lower chance of survival than patients with low A2ML1 expression. Both univariate and multivariate Cox regression analyses were utilized to investigate the relationship between clinical variables and overall survival rates. An investigation into the link between A2ML1 and immune infiltration was subsequently conducted. Utilizing the immune cell database, research was conducted to investigate the dispersion of 24 immune cells and their correlation to A2ML1 expression. In addition to this, the favorable correlation between immune cells and A2ML1 was validated using all three immune cell methodologies. The Genomics of Drug Sensitivity in Cancer database was used to confirm the idea that there is a link between A2ML1 expression and the efficacy of chemotherapy or immunotherapy. The findings demonstrated that A2ML1 is a potential biomarker for cervical cancer diagnostics. This biomarker may be used to chaperone immunotherapy, as well as to explain the elucidates of cervical cancer caused by the immunological microenvironment.

Mining corruption, environmental damage, and the increasing unauthorized properties of state officials

Indonesia is blessed with natural resources in the form of minerals and coal. Their use must be directed towards the greatest welfare and prosperity of the people based on the 1945 Constitution. However, what is currently happening is the opposite. the Attorney General revealed case of alleged corruption in the trading system of tin commodities in the Bangka Belitung region. The suspects include businessmen, directors, crazy rich Indonesians, and artists who are now increasingly attracting public attention. The total state losses were equivalent to $16,667 billion USD. This research used a sociological legal research model. The research object was the legal behavior in the reality of society. It was found that to formulate appropriate law enforcement for mining corruption, Friedman’s legal system theory approach was used. This theory includes legal structures, with good synergy from each law enforcement institution. Concerning the legal substance, apart from using the Corruption Crime Law, perpetrators also need to be impoverished by regulating the crime of money laundering. In terms of legal culture, state officials should uphold ethics and integrity to achieve good governance. Meanwhile, restoration of environmental damage resulting from mining activities can begin with future environmental policies that are directed towards ensuring the safety and health of the human life as well as controlling the wise use of natural resources. The integration of environmental law and Islam can be carried out using a prophetic ethical approach. The prophetic paradigm interprets nature as something sacred as humans only borrow it and manage.

The Russia-Ukraine war's "Armageddon" threat: A call to action for nuclear disarmament

The first atomic weapon was constructed in 1945 as a result of the discovery of nuclear fission. In the Japanese cities of Hiroshima and Nagasaki during World War II, the US first exploded the weapon in 1945. Since then, more than 12,000 different kinds of nuclear weapons and advanced delivery systems have been obtained by nine other countries. Despite efforts to outlaw and eliminate nuclear weapons, Russia has made it known that it intends to use them in the conflict it is currently engaged in with Ukraine, which began in February 2022. This study looks at the Russian menace that has frightened the world and brought to mind the tragic US nuclear attacks and the ensuing massive destruction of the environment, material resources, and human lives. Fears of a nuclear war and destruction have increased due to the potential for nuclear reprisal from the West. According to this research, there is a serious risk to human survival from the presence of nuclear weapons. It also concludes that there is a genuine risk that nuclear weapons will be used in today's military conflicts. The paper suggests that, by the Treaty on the Prohibition of Nuclear Weapons, which went into effect on January 22, 2021, the current stockpile of nuclear weapons be immediately disarmed and destroyed.

Impact of AI in Humans Life

This research paper is designed to compile, synthesize, and analyze the effects of artificial intelligence on human life. AI technology has a long history of continuous and aggressive development and growth. This focuses on smart agents, which are sensors that analyze the world and take action to improve odds of success. Artificial intelligence is developing rapidly in today's society, with new technological developments being developed on a daily basis. The previous study defined the existing AI basics and multiple representative AI applications. The capacity for artificial intelligence (AI), computer programs, and systems to fulfill a person's logical and creative activities, such as solving problems independently, drawing conclusions, and making decisions. The majority of artificial intelligence programs are capable of allowing humans to learn over time. Recent work on AI technologies, that include machine learning, deep learning, and predictive analysis, aimed to enhance the ability to plan, understand, reason, analyze, and act. The basic goal of artificial intelligence is to create advanced, complicated systems that beat people in all areas, in order to improve all human activities and provide better solutions to issues than humans can. This suggestion tries to identify how human intelligence differs from artificial intelligence

Both‐Sideology Endangers Democracy and Social Science

AbstractIn social psychology these days it is commonplace to read or hear that liberal‐leftists and conservative‐rightists are every bit as “moral”; prejudiced and intolerant; susceptible to misinformation, “fake news,” and conspiratorial thinking; lax about upholding democratic standards; and prone to terrorism and political violence. Upon careful inspection, however, I conclude that every one of these claims is false or misleading. Liberal‐leftists in the United States and elsewhere are demonstrably more committed than conservative‐rightists to humanistic‐egalitarian values, deliberative reasoning, and adherence to democratic norms. In Western societies, acts of authoritarian aggression, hate crimes, and political violence are overwhelmingly more likely to come from the right than the left. As a witness to Nazi atrocities, Kurt Lewin deeply understood the role of historical, economic, and political forces in human lives and the interdependence between democracy and social science. He rejected moral relativism and what I call “both‐sideology” and offered a sophisticated critique of anti‐democratic tendencies. There are perfectly understandable reasons why people—especially academics and journalists—would be tempted to draw parallels between the left and right, and indeed there are many similarities as well as dissimilarities between liberal‐leftists and conservative‐rightists. However, the uncritical adoption of both‐sideology threatens liberal democracy itself and, with it, the only social science worth having. What we—as citizens and social scientists—need now is a renewal and revitalization of Lewin's critical‐emancipatory legacy before it is too late.

On the “How” and the “Why”: Nietzsche on Happiness and the Meaningful Life

Abstract Nietzsche is commonly interpreted as strongly rejecting and even despising any possible conception (or pursuit) of happiness. And yet, one of the most pervasive topics in Nietzsche’s work is the problem of human suffering, the pursuit of meaning (or purpose) in life, and the possibility of a joyful or affirmative disposition toward existence. In this article, I argue that Nietzsche’s criticism of common conceptions of happiness should be seen as a redefinition, rather than a rejection, of the notion of human happiness, with important implications for contemporary discussions on the topic. I start by addressing three of the main contemporary theories of happiness from a Nietzschean perspective, underlining both the points of convergence and the points of divergence between Nietzsche and each of these accounts. I then gather the conclusions of the previous section, add Nietzsche’s positive claims on happiness and the meaningful life, and sketch what might be called a Nietzschean theory of happiness. Finally, I situate Nietzsche’s position in the contemporary debate on the topic and outline what I take to be his most important contributions to current discussions on happiness, meaning, and well-being in human life.

Research on Diltheys Hermeneutics of Life

Dilthey propounds human sciences in his critique of traditional metaphysics and natural sciences. The hermeneutics of life, the essential approach in the inquiry of human sciences, focuses on human life to construct the interrelations among lived experience, understanding, and expression. The idea that life is an organism is introduced based on the connection between the individual life and the universal life of general human beings. There are three hierarchical forms of manifestation of life: concepts, judgments, and larger thought-formations, actions, and the expression of lived experience. There is a proximity between the expression of lived experience and the nature of life, of which the expression of lived experience is the most significant manifestation of life in the human sciences. Lived experience has an immediacy that delivers direct and immediate access to reality, whereas understanding is indirect and requires further mediation. Understanding has two forms: the elementary and the higher. Based on the hermeneutics of life, Diltheys human sciences can be approached as a reply to the contemporary cultural crisis.

Generation of H2O2 via simultaneous treatment of cotton and organic pollutants in textile wastewater

The textile industry is essential for human life but generates significant amounts of waste cotton and alkaline dye wastewater. These pollutants are difficult to separate and treat, causing numerous environmental issues. Traditional methods struggle to deal with the combined pollution without additives. In this study, we developed a simple hydrothermal process to convert waste cotton and dye wastewater into a non-metal catalyst. This catalyst can degrade dyes using oxygen from the air. Remarkably, it produces a substantial amount of H2O2 after degrading the dyes. This demonstrates that we utilized waste cotton present in textile wastewater as a catalyst precursor and abundant oxygen as an oxidant to convert dye wastewater into valuable H2O2. We also used commercially available cotton cloth as a raw material and achieved good results. Under the optimized conditions, 96 % of the dye was degraded within 4 h, generating 252 μM of H2O2 simultaneously. Additionally, the catalysts performed better under alkaline conditions, with the dye degradation rate increasing by 33 % compared to neutral conditions. This is ideal for alkaline textile mill wastewater. Therefore, our work provides a novel method for the treatment of cotton waste and dyes in textile mills and has broad application prospects.

Will the decrease in food availability affect food tourism? A historical and contemporary perspective: horizon 2050 article

Purpose This study aims to discuss the possible consequences of food crises caused by unsustainable food production and distribution, as well as how the rapid depletion of food resources may affect human life, destinations and the food tourism industry. Design/methodology/approach To address the lack of research examining the impact of sustainability issues and food crises on food tourism, this study conducted a critical review of the literature and reports related to agriculture, food production and sustainability. Findings Global conflicts, climate change and supply disruptions result in the reduction of food availability and quality. The high price of food and energy in such circumstances will further exacerbate poverty and delay destination development, which will negatively impact food tourism's economic sustainability. Furthermore, local businesses will be limited in their ability to offer a variety of culinary experiences, which will negatively impact the overall experience of food tourism. In this context, there is a pressing need to investigate the experiential aspects of food tourism as well as today's challenges relating to food crises at multiple levels, sustainable approaches, food quality and food services. Research limitations/implications The United Nations, FAO, WHO, UNICEF and other regional and international organizations refer to unsustainable practices and food crises on a variety of levels. Several sectors, including the food tourism industry, are predicted to be negatively affected by the current situation. However, governments have not adopted an emergency code to address this issue, except in some regions experiencing extreme inflation and food shortages. Besides promoting sustainable practices, responding to global crises and enhancing culinary and cultural tourism experiences, food crisis management and sustainability efforts can have a significant impact on future research, practical applications and societal outcomes. Originality/value As one of the first studies conducted in this field, this study examines the effects of declines in food production and issues in the supply chain on the food tourism industry.

Geospatial and Temporal Patterns of Natural and Man-Made (Technological) Disasters (1900–2024): Insights from Different Socio-Economic and Demographic Perspectives

This pioneering study explores the geospatial and temporal patterns of natural and human-induced disasters from 1900 to 2024, providing essential insights into their global distribution and impacts. Significant trends and disparities in disaster occurrences and their widespread consequences are revealed through the utilization of the comprehensive international EM-DAT database. The results showed a dramatic escalation in both natural and man-made (technological) disasters over the decades, with notable surges in the 1991–2000 and 2001–2010 periods. A total of 25,836 disasters were recorded worldwide, of which 69.41% were natural disasters (16,567) and 30.59% were man-made (technological) disasters (9269). The most significant increase in natural disasters occurred from 1961–1970, while man-made (technological) disasters surged substantially from 1981–1990. Seasonal trends reveal that floods peak in January and July, while storms are most frequent in June and October. Droughts and floods are the most devastating in terms of human lives, while storms and earthquakes cause the highest economic losses. The most substantial economic losses were reported during the 2001–2010 period, driven by catastrophic natural disasters in Asia and North America. Also, Asia was highlighted by our research as the most disaster-prone continent, accounting for 41.75% of global events, with 61.89% of these events being natural disasters. Oceania, despite experiencing fewer total disasters, shows a remarkable 91.51% of these as natural disasters. Africa is notable for its high incidence of man-made (technological) disasters, which constitute 43.79% of the continent’s disaster events. Europe, representing 11.96% of total disasters, exhibits a balanced distribution but tends towards natural disasters at 64.54%. Examining specific countries, China, India, and the United States emerged as the countries most frequently affected by both types of disasters. The impact of these disasters has been immense, with economic losses reaching their highest during the decade of 2010–2020, largely due to natural disasters. The human toll has been equally significant, with Asia recording the most fatalities and Africa the most injuries. Pearson’s correlation analysis identified statistically significant links between socioeconomic factors and the effects of disasters. It shows that nations with higher GDP per capita and better governance quality tend to experience fewer disasters and less severe negative consequences. These insights highlight the urgent need for tailored disaster risk management strategies that address the distinct challenges and impacts in various regions. By understanding historical disaster patterns, policymakers and stakeholders can better anticipate and manage future risks, ultimately safeguarding lives and economies.

Beyond the Border: Exploring the Complex Dynamics of Water Tensions Between India and China

This paper explores the historical context and current dynamics of the transboundary water issues between India and China. Both countries share multiple transboundary river basins, with the Brahmaputra River being one of the most significant. The importance of the Brahmaputra River to both nations goes beyond just providing resources. It has implications for national security, regional stability, and human livelihoods. However, China's upstream control over the river and its extensive dam-building projects have raised concerns in downstream India and Bangladesh about potential impacts on water availability, agriculture, and livelihoods. The river system is critical for the socioeconomic well-being of millions of people, yet the competing demands for water resources have led to geopolitical tensions. The paper highlights China's strategic use of water resources, including plans for large-scale dams, which India views as a potential threat to its water security. It also underscores the importance of a nuanced understanding of hydropolitics, emphasizing the need for human security, particularly water security, in addressing these challenges. It argues that while "water wars" are unlikely, "water tensions" are significant and must be addressed through comprehensive bilateral agreements and collaborative efforts.

Membumikan Komunikasi Islam dalam Kehidupan Sosial Melalui Warung Kopi di Kota Banda Aceh

The purpose of this research is to identify and provide understanding and invitation to everyone to ground Islamic communication in social life so that communication patterns between people are well maintained in accordance with the principles of Islamic communication. The research method used is a type of library research. his research is carried out by reading, examining, and analyzing various existing sources, in the form of the Qur'an, Hadith, journals and books, as well as other research results related to communication in social life. The results showed that Islamic communication in social life has a very important role in human life, this can be seen from social meaning, social coverage and social support to being able to limit negative words against someone. Islamic communication is a means of conveying or exchanging information using the principles and methods of communication according to the Qur'an as one of the motivations for Muslims to ground Islamic communication in social life directly and through social media. Meanwhile, in the context of coffee shops as a means of social communication in the city of Banda Aceh, coffee shops are not only a place to drink coffee or rest but also a source of the latest information and also a gathering place for various communities, ranging from ordinary people, community leaders, government employees, and so on. The conclusion is that communication is one of the important reasons in society, of course, in the rules of Islam, besides that Islamic communication and social life play a very large role in the context of coffee shops in the city of Banda Aceh.