Everyday Human Activities Research Articles

The glaucoma quality of life assessment.

In the next 15 years, expected increase in incidence of glaucoma is predicted. The glaucoma results in changes of quality of life of patients deteriorating in parallel with progression of stage of disease. The presence of many concomitant diseases in patients has significant impact on survival, exacerbations. hospitalizations and quality of life of patients. The impact of glaucoma on implementation of everyday human activities determines relevance of studying issues of quality of life. The physical state of health level of males is lower than that of females. The vision of both eyes is higher in males than in females. The overall assessment of vision in case of glaucoma causes pronounced decrease in visual function both in males and females. The most patients with glaucoma suffer with decrease in performance and restriction of work. The irritation occurs especially in males and females have uncomfortable relationships due to eye pain and less housework due to vision problems. The overall assessment of vision in case of glaucoma causes violation of visual perception. The social and psychological components affecting quality of life are violated that affects both mental and physical health.

Fe/Cl/N triply-doped bamboo-like structure wrapped with Fe3C nanoparticles for electrochemical selective nitrite detection

Nitrite is commonly found in the natural environment and in everyday human activities. However, excessive nitrite consumption can potentially harm human health. Consequently, it is crucial to develop a reliable and sensitive method for nitrite detection. In this work, trichloroacetic acid functionalized Cl-Fe-MIL-88B metal-organic framework is obtained through nucleophilic reaction between animated Fe-MIL-88B and trichloroacetic acid, which is then annealed with melamine in an N2 atmosphere to produce the Fe/Cl/N triply-doped bamboo-like carbon nanotubes (CNTs) wrapped with Fe3C nanoparticles. Owing to the effective doping of Fe/Cl/N elements, the charge distribution and chemical activity of the bamboo-like structure are tailored, greatly improving the conductivity and facilitating electron transfer of the composite for potential electrocatalytic reaction. The Fe3C nanoparticles wrapped inside the CNTs contribute to expose more active sites and provide effective surface area. Accordingly, the Fe/Cl/N doped bamboo-like structure modified glassy carbon electrode shows excellent electrochemical nitrite sensing properties with a high sensitivity of 1060 µA cm−2 mM−1, a low detection limit of 0.61 µM in a wide linear concentration range of 5–5000 μM, as well as good anti-interference and long-term stability. Also, the electrochemical sensor has a satisfactory recovery rate for detecting nitrite ions in spiked milk samples. This work proposes a simple precursor chlorination and pyrolysis strategy to obtain metal-filled bamboo-like structure with high electrical conductivity and electrocatalytic properties, endowing great potential in food safety and environment monitoring.

THE OTHER TRAUMA—A DISCUSSION OF KHALED HOSSEINNI’S AND THE MOUNTAINS ECHOED (2013)

This paper focuses on building the argument that trauma goes beyond the popular definitions such as war experiences, rape, and many other known forms of trauma. As such, the discussion focuses on what the writers refer to as the 'other trauma,' which comes about as an experience of a situation that the human mind is unable to adjust to, in ways that creates acceptance, but rather erects barriers. The paper also argues that unlike previous discussions on trauma, which suggests that trauma returns in flashbacks, there are other traumatic experiences that victims live with on a daily basis, and as such, dictates the course of their lives. In stressing on this view of the 'other traumatic' experience, the paper makes reference to Khaled Hosseinni's characters in his novel, And the mountains echoed. The paper adapts the three parts of trauma posited by Freud in the discussion of the traumatic experience of certain characters in Hosseinni's novel. Freud's exposition on trauma is used to build and sustain the argument that trauma can equally be experienced as a result of mundane everyday human activities and decisions that also have the ability to destabilze the human mind. The paper concludes that the original event that has led to trauma is as traumatic as recalling the event itself, and that literature depicts how such events can distort human life and existence emotionally, socially, and psychologically.

Multifunctional Thermochromic Dye‐Integrated Hybrid Nanogenerators for Mechanical Energy Harvesting and Real‐Time IoT Sensing

AbstractHybrid nanogenerators are advanced mechanical energy harvesters capable of simultaneously scavenging multiple types of energy. Additionally, thermochromic materials provide a practical and visually assessable method for real‐time temperature monitoring. In this report, a novel energy harvester and sensing patch (EHSP) is introduced, that utilizes combined piezoelectric and triboelectric effects to harvest mechanical energy efficiently. To optimize the EHSP, various energy harvester configurations are fabricated and tested, and the dielectric properties of triboelectric films are systematically investigated. These improvements are implemented to augment the overall energy harvesting capability. The thermochromic properties of the EHSP are also explored to enhance both the electrical performance and thermal responsiveness. The EHSP demonstrates the ability to generate maximum voltage and current outputs of 350 V and 20.4 µA, respectively. Moreover, it can detect temperature changes within seconds, making it suitable for both energy harvesting and sensing applications. The EHSP is tested in practical scenarios, proving its efficiency as an energy harvester and sensor for everyday human activities. Furthermore, its integration with multiple hybrid nanogenerators showcases its potential for industrial and wearable sensing applications.

Human Computer Interaction in Everyday Life by Using Deep Learning

Abstract: Human Computer Interaction (HCI) is the design and implementation of interactive computing systems that users can interact with. It includes desktop systems in different devices. Success of a technology simply results from the easiness with which the user can interact with it [2]. A simple and easy way to use a system doesn't mean that a simple technology is behind such a system. The most important concepts in HCI are functionality and usability. Usability is when a user utilizes the system's functions easily, properly and clearly. Functionality and usability may vary from one system to another. In this project we interact with computer by using deep learning. HCI spread through various everyday human activities, transforming the way we communicate, learn and entertain ourselves. With the help of this project we explores the impact of smartphones, tablets and wearable devices on personal productivity and communication.

Calcium copper titanate incorporated polydimethylsiloxane flexible composite film-based triboelectric nanogenerator for energy harvesting and self-powered sensing applications

Triboelectric energy harvesters offer an efficient way to convert mechanical energy harvested by everyday human body actions into electrical energy. Triboelectric nanogenerators (TENGs) are an attractive solution for power supply concerns in the development of portable electronic gadgets and self-powered sensor applications. Herein, a dielectric calcium copper titanate (CaCu3Ti4O12 (CCTO)) ceramic material was synthesized by a solid-state reaction process. The synthesized particles were embedded in polydimethylsiloxane (PDMS) polymer to form a CCTO/PDMS flexible composite film (FCF)-based TENG, called a CCTO FCF-TENG, which is light-weight, simple, and suitable for use. The dielectric properties, surface charge density, and electrical conductivity of the FCF were greatly improved by the addition of the CCTO particles into the PDMS, resulting in excellent electrical output performance of the corresponding CCTO FCF-TENG. The CCTO FCF-TENG device was constructed with the CCTO/PDMS FCF, which functioned vertically against a cellulose paper to optimize a high and stable electrical output. Furthermore, the filler concentration and film thickness optimization was studied more to achieve the highest output power of the CCTO FCF-TENG. The optimized CCTO FCF-TENG exhibited the highest electrical output voltage, current, charge density, and power density of ∼250 V, ∼6.5 μA, ∼70 μC/m2, and ∼3.15 W/m2, respectively. The mechanical stability and durability of the CCTO FCF-TENG were systematically analyzed. The practical and real-time applications of the packed CCTO FCF-TENG were systematically investigated under various harsh environmental conditions. Finally, the packed CCTO FCF-TENG successfully powered several low-power portable electronics and was also used as a self-powered sensor to sense biomechanical actions in everyday human body activities.

Desain Alat Pirolisis Reaktor Tunggal Untuk Daur Ulang Sampah Plastik

The purpose of this study was to determine the effect of media variations of 90% kusambi charcoal and 10% Plastic is a component that is difficult to separate from everyday human activities because of the various advantages it has. The more people consume, the more plastic waste they produce. To overcome this, of course, a way is needed to process the plastic waste into things that are more useful and also have benefits for nature, one way is by recycling the plastic waste into fuel, namely fuel in the form of oil. The benefit of this research is to produce fuel oil products from Polypropylene (PP) plastic waste as an alternative energy source by utilizing pyrolysis technology. Pyrolysis is a process for converting Polypropylene (PP) plastic waste into liquid fuel. The end result of this research is in the form of detailed images of the tool, the design of the tool, and the results of the testing process on the tool in the form of data on the quantity of oil in each test

RETRACTED ARTICLE: Federated recognition mechanism based on enhanced temporal-spatial learning using mobile edge sensors for firefighters

BackgroundInterest in Human Action Recognition (HAR), which encompasses both household and industrial settings, is growing. HAR describes a computer system’s capacity to accurately recognize and evaluate human activities and behaviors, akin to what humans call perception. Real-time federated activity identification architecture is suggested in this work to monitor smartphone user behavior. The main aim is to decrease accidents happening in an indoor environment and assure the security of older individuals in an indoor setting. The idea lends itself to a multitude of uses, including monitoring the elderly, entertainment, and spying.ResultsIn this paper, we present a new smartphone sensor-based human motion awareness federated recognition scheme using a temporal-spatial weighted BILSTM-CNN framework. We verify new federated recognition based on temporal-spatial data better than existing machine learning schemes in terms of activity recognition accuracy. Several methods and strategies in the literature have been used to attain higher HAR accuracy. In particular, six categories of typical everyday human activities are highlighted, including walking, jumping, standing, moving from one level to another, and picking up items.ConclusionSmartphone-based sensors are utilized to detect the motion activities carried out by elderly people based on the raw inertial measurement unit (IMU) data. Then, weighted bidirectional long short-term memory (BILSTM) networks are for learning about temporal motion features; they are swiftly followed by single-dimensional convolutional neural networks (CNN), which are built for reasoning about spatial structure features. Additionally, the awareness mechanism highlights the data segments to choose discriminative contextual data. Finally, a sizeable dataset of HDL activity datasets is gathered for model validation and training. The results confirm that the proposed ML framework performs 18.7% better in terms of accuracy, 27.9% for the case of precision, and 0.24.1% when evaluating based on the F1-score for client 1.Similarly, for client 2 and client 3, the performance betterment in terms of accuracy is 18.4% and 10.1%, respectively.

Повседневность неолиберального субъекта: взаимодействие макро- и микроструктур идеологии

Neoliberalism can be understood both as a practice of governance organized around economic norms of competition, flexibility and risk calculation, and as a technique of shaping and transforming modes of subjectivation. These two interpretations are closely intertwined: the institutions that capture neoliberal discourses become the starting point for the formation of a particular subjectivity known as human capital. At the same time, labour is understood very broadly: even pre-reflexive behavioural practices (e.g., sleep) are included in the idea of human capital. The purpose of this article is to analyse and criticise the neoliberal subject’s image of the life-world. The life-world is understood as an area of everyday human activity within which the pre-predicative resources of “common sense” are at work. The author takes an integrative approach, combining ideological theory and the study of everyday life. M. Foucault’s series of lectures, ‘The Birth of Biopolitics’, is used as the main source of content for the theory of neoliberalism. The critique of the neoliberal subject’s life-world is carried out through the ontological argumentation of the Ljubljana School of Psychoanalysis. The imperative of neoliberal ethics calling for unlimited pleasure is clearly evident in the mode of existence of consumer products. A certain commodity exists as a negation of its own idea: non-alcoholic wine, for example, is a negation of the idea of wine itself. In this sense, pleasure is stripped of any barriers, but just as importantly, the process of its reception becomes a meaning-in-itself that is institutionally supported. Pleasure is linked to the structurally constitutive absence of the object of desire. Thus, a critical analysis of ideology actualises the category of alienation. The overcoming of neoliberal subjectivity is only possible through the acceptance of a fundamental rupture (alienation) as the ontological basis of identity, a position that has been called an object-disoriented ontology.

Analisis Perbandingan Sistem Pendukung Keputusan Pemilihan Media Sosial Sebagai Sarana Promosi Di Tembilahan

With the rapid development of technology at this time, internet services cannot be separated from everyday human activities. the many conveniences of using internet services make people involve internet services in doing business online using social media services. Business competition is also one that must be faced by creative economy actors. With competitors or competitors making similar products increasing, while products that are made are less well known to consumers, creative businesses cannot reach market segments effectively. Some of the social media that are most often used to carry out online buying and selling activities are: Facebook, Twitter, Instagram, WhatsApp, Tiktok, and others. The application of the Decision Support System uses the SAW and TOPSIS methods in selecting the best social media as a means of promotion, and choosing which method is most appropriate for determining social media as a means of promotion in Tembilahan. The SAW method is the most relevant in solving this case and the Facebook alternative is chosen as a good and effective social media to be used as a promotional medium.

Water and its importance for human life and health

Life is the most valuable asset that a person has. Throughout the time allotted to him, he seeks the meaning of his existence, makes plans, strives to implement them, creates and creates. And the main task of a person is to preserve this life, because it is priceless. Scientists have long established a direct link between the quality of drinking water and life expectancy. The rapid growth of the planets population in combination with increasing water consumption for household and industrial needs, agriculture leads to a global water crisis, which is manifested in a shortage of fresh water and its increasing pollution. In many countries, the question of providing the population with good quality drinking water is very acute, it has long been a subject of trade. The generally accepted scientific views on the role and importance of water for life and health, the main approaches to determining its quality in everyday human activities are revealed in this article.

Trust Components: An Analysis in The Development of Type 2 Diabetic Mellitus Mobile Application

Trust in information and communication technology devices is an important factor, considering the role of technology in carrying out supporting tasks in everyday human activities. The level of trust in technology will influence its application and adoption. Recognizing the importance of trust in technology, researchers in this study will examine trust components for the development of a type 2 diabetes mobile application. The results of this study resulted in three major focuses, namely the application design (consisting of architecture), UI design, and evaluation of trust factors of the application: functionality, ease of use, usefulness, security and privacy, and cost. This analysis of trust components will be useful for the application or adoption by users of a type 2 diabetes mellitus mobile application so that users will trust the application both in terms of functionality and the generated information.

Computational Prediction of COVID-19 Transmission in Internal Air-Conditioned Environments

COVID-19 has had destructive consequences for health, economy and has altered every aspect of everyday human activity. The outbreak was first identified in December 2019 in Wuhan, China. The declaration of the disease as a “Public Health Emergency of International Concern” for the World Health Organization took place on January 30, 2020. Furthermore, 105,5 million cases have been reported until 06 February 2021. Public distancing in internal environments has been applied as a safety measure to prevent transmission. A controversial topic is the safe distance from person to person. The social distancing regulation, for internal public places, has been arbitrarily defined ignoring the potential aerodynamics effects of inlets, such as air-conditioning units, windows and doors. The velocity of the intake airflow has the potential to transfer a droplet from the nose or the mouth of a patient in greater than the indicated distance. The present study focuses on a model of a supermarket that includes a ventilation system and open doors. For the transmission of COVID-19 in an air-conditioned internal space, two different designs were implemented and studied. Internal shelving, furnishing and human models are also being considered. The numerical results obtained are compared with those obtained by two well-known empirical models related to the effective velocity of incoming air and the virus concentration. It is concluded that the computational results obtained in the present study are in acceptable agreement with those obtained by simple empirical models, especially when the standard k-ε model of turbulence is used. Thus, for the cases of coughing and sneezing patients, where we studied the largest particles that sediment onto the floor, the 6-foot (≈1,82 m) rule applies well. However, pathogen-laced particles, coming for example from asymptomatic patients, travel through the air indoors when people breathe and talk. Therefore, there is not much benefit to the 6-foot rule because the air a person is breathing tends to rise and comes down elsewhere, so the person is more exposed to the average background than to a person at a distance. Future research should concentrate rather on the amount of time spent inside rather than distances. As the COVID-19 pandemic is progressing, the present study is flexible and can be applied generally in crowded places. Furthermore, the general outcome is that individuals should maintain the distance of 1,65 meters and it should be applied as guidelines to help reduce the infection risk.

Social and network interaction on the Internet: to the definition of the media phenomenon

The large-scale introduction of computers into professional and everyday human activities, the formation of a global mass communication system based on the Internet and the formation of a single network space formed the basis of a modern social communication system. But at the same time, despite the long period of their development, there was no unambiguous concept denoting the phenomenon of Internet-based media, which includes means of communication, as well as the social-network interaction environment formed by them. The authors analyze four concepts used to display the media phenomenon: (1) information and communication environment, (2) social network space, (3) media space and (4) public communication space. Analysis shows that each of these concepts focuses on a specific aspect of the communications of modern society. The information and communication environment is a semi-structured set of computers and information and telecommunication technologies that allow organizing actor interactions to coordinate their activities in the storage, transmission, processing of information. A social network space is rhizome from social media, which allows users to organize online communication and produce user-generated content. Media space is a complex configuration of social media related to the production and consumption of media, the unity of which, within the framework of the information picture of the world, holds a certain social space together. The public communications space is a set of social media aimed at mainstreaming socially significant problems and discussing in the social-network space.

Research on the construction of portable electrochemical sensors for environmental compounds quality monitoring

The environment is important for human survival, but because of everyday human activities, many pollutants in the drinking water, food and environment may increasingly contribute to the problem of environmental contamination and pose a significant threat to human health. Therefore, the fast and effective monitoring of environmental compound concentrations in environmental samples is required. Electrochemical sensors offer huge potential for online monitoring of specific pollutants in complex environments, owing to their high sensitivity, good selectivity, low cost, simple operation, and high accuracy. This has made them a hot topic. Furthermore, with development of portable electronic technology, the portable electrochemical sensing system with miniaturization has booming in many fields. Therefore, this paper systematically reviews a variety of portable electrochemical sensors that are used for the analysis of pollutants in the environment, and summarizes the current research direction. This is expected to provide researchers with new research ideas and perspectives.

PDMS Surface-Area Optimization for High-Performance Oscillatory Motion Harvesting Pendulum-Type Triboelectric Nanogenerators for Energy Harvesting and Sensor Applications

Triboelectric nanogenerators (TENGs) are generating a lot of attention because of their capacity to extract mechanical energy from everyday life. A pendulum motion is one of the ambient physical motions often seen in everyday human activities. Unfortunately, the pendulum motion is not efficiently harvested due to device fabrication complications. In this report, we developed a simple pendulum-type TENG (P-TENG) that could efficiently harvest the oscillating motion with the lateral-sliding and contact-separation TENG working mechanism. Polydimethylsiloxane (PDMS) film and paper were used as negative and positive triboelectric materials, respectively. A reverse-imprinting method was used to create micropatterned PDMS (MP-PDMS) to increase the surface area and achieve high electrical performance. The work function and tensile strength were also evaluated for the fabricated MP-PDMS films. Initially, the electrical response and output performance of MP-PDMS were optimized by employing it in a simple traditional TENG structure. Afterward, the optimized MP-PDMS films were employed in the P-TENG structure. The TENG was used to capture mechanical energy and store it in a capacitor so that a small-scale electronic device might be powered. Furthermore, the P-TENG was used to capture mechanical energy from the pendulum motion, and its real-time application as an angle detector was demonstrated. This work demonstrates the effective harvesting of oscillating motion available in everyday human life and powering of portable electronics as well as an angle sensor.

Liquid Metal-Tailored PEDOT:PSS for Noncontact Flexible Electronics with High Spatial Resolution.

Electric field-based noncontact flexible electronics (EF-NFEs) allow people to communicate with intelligent devices through noncontact human-machine interactions, but current EF-NFEs with limited detections (usually <20 cm) distance often lack a high spatial resolution. Here, we report a versatile material for preparing EF-NFE devices with a high spatial resolution to realize everyday human activity detection. Eutectic gallium-indium alloy (EGaIn) was introduced into poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) chains to fabricate this material, named Ga-PP. The introduction of EGaIn successfully regulates the intra- and interchain interactions of PEDOT chains and thus increases the π-electron accumulation on Ga-PP chains, which facilitates improvement of the electron storage of Ga-PP and its noncontact sensing ability. The water solubility of the obtained Ga-PP can reach approximately 15 mg/mL, comparable to that of commercial PEDOT:PSS, thus making Ga-PP suitable for various design strategies to prepare EF-NFE devices. We demonstrate that a conductive textile with a noncontact sensing ability can be achieved by immersing a commercial silk fabric into a Ga-PP solution for 5 min. With a detection distance exceeding 1 m, the prepared Ga-PP-based conductive textile (Ga-PP-CT) possesses outstanding noncontact sensing sensitivity, showing advantages in tracing the locations of signal sources and distinguishing motion states. Surprisingly, even when placed in water, Ga-PP-CT can be used to monitor the movement signals of athletes in different sporting events and output specific noncontact response signals for different sports. Intriguingly, the Ga-PP solution itself can be used to construct noncontact sensing conductive circuits, displaying the potential to be incorporated into smart electronics.

The Appeal of Ethnobotanical Folklore Records: Medicinal Plant Use in Setomaa, Räpina and Vastseliina Parishes, Estonia (1888-1996).

The historical use of medicinal plants is of special interest because the use of plants for healing is a rapidly changing, highly culture-specific and often need-specific practice, which also depends on the availability of resources and knowledge. To set an example of folkloristic data analysis in ethnobotany, we analyzed texts from the database, HERBA, identifying as many plants and diseases as possible. The research was limited to the Seto, Räpina and Vastseliina parishes in Estonia. The use of 119 taxa belonging to 48 families was identified, of which nine were identified at the genus level, four ethnotaxa were identified as two possible botanical taxa and fifteen ethnotaxa were unidentifiable. The most frequently mentioned taxa were Pinus sylvestris, Matricaria discoidea and Valeriana officinalis. High plant name diversity as well as high heterogeneity in the plants used were observed, especially in earlier records. The use of local wild taxa growing outside the sphere of everyday human activities, which was abandoned during Soviet occupation, signals an earlier, pre-existing rich tradition of plant use and a deep relationship with nature. Working with archival data requires knowledge of historical contexts and the acceptance of the possibility of not finding all the answers.

Personality traits modulate the neural responses to handwriting processing.

Handwriting is a vital skill for everyday human activities. It has a wealth of information about writers' characteristics and can hint toward underlying neurological conditions, such as Parkinson's disease, autism, dyslexia, and attention-deficit/hyperactivity disorder (ADHD). Many previous studies have reported a link between personality and individual differences in handwriting, but the evidence for the relationship tends to be anecdotal in nature. Using functional magnetic resonance imaging (fMRI), we examined whether the association between personality traits and handwriting was instantiated at the neural level. Results showed that the personality trait of conscientiousness modulated brain activation in the left premotor cortex and right inferior/middle frontal gyrus, which may reflect the impact of personality on orthography-to-grapheme transformation and executive control involved in handwriting. Such correlations were not observed in symbol-drawing or word-reading tasks, suggesting the specificity of the link between conscientiousness and handwriting in these regions. Moreover, using a connectome-based predictive modeling approach, we found that individuals' conscientiousness scores could be predicted based on handwriting-related functional brain networks, suggesting that the influence of personality on handwriting may occur within a broader network. Our findings provide neural evidence for the link between personality and handwriting processing, extending our understanding of the nature of individual differences in handwriting.

A comparative study on recognizing human activities by applying diverse Machine Learning approaches.

This paper deals with the problem of identifying and recognizing everyday human activities. The main goal is to compare a variety of implemented classification models founded on diverse machine learning approaches; one that utilizes features extracted from the time and frequency domain and three others that take advantage of the attributes of the symbolic space in order to extract conclusions regarding the performance and the potential usefulness of each of them. To guarantee the impartiality of the comparison, we used the signals contained in a free accessible dataset, which are subjected to the same preprocessing, and divided into equal time-length windows. The Nearest Neighour classifier is applied to compare the four approaches.