Nearby People Research Articles

Molecular detection of Coxiella burnetii infection (Q fever) in livestock in Makkah Province, Saudi Arabia.

The study aims to investigate the prevalence of Q fever in livestock and ticks in Makkah Province, Saudi Arabia, by molecular methods. Using DNA obtained from (40) blood samples, (60) vaginal swabs and ticks (120) samples. Real-time PCR was used to detect the IS1111 insertion sequence of Coxiella burnetii in aborted animals. Among 40 blood samples only one sample of the camel was found to be infected with an overall prevalence of 2.5 %. The highest prevalence (10 %) was recorded in AL-Laith in one camel blood sample out of 10 samples examined. Of 60 vaginal swabs examined for C.burnetii DNA, four samples were found to be infected with an overall prevalence of 6.6 %. The highest prevalence (10 %) was recorded in Makkah in two camel vaginal swabs out of 20 samples, followed by Jeddah and AL-Laith with a prevalence of (5.6 %) by detection of one sample positive out of 18 samples on each of them, while vaginal swabs from AL-Kamil were negative. Three types of ticks were identified Hyalomma dromedarii, Hyalomma anatolicum, and Hyalomma excavatum. H. dromedarii tick is the most common in aborted camels with a prevalence (6.7 %) in Makkah followed by Jeddah (5 %). The findings of this study revealed that C.burnetii infection is prevalent in agricultural animals especially camels and ticks maintained at livestock farms in Makkah Province. However, these animals and ticks may pass on C.burnetii infections to nearby people and other animals in the study area.

Measurement of Radon Gas Concentration in Sources of Drinking Water in Makurdi, Benue State, Nigeria Using Radon Detector (RAD-7)

Study’s Excerpt Radon gas contamination across diverse drinking water sources within Makurdi, Nigeria, was investigated. The RAD-7 detector was used, and the results revealed elevated radon levels exceeding WHO limits in some specific locations. There is a need for targeted risk mitigation strategies and continuous monitoring of Radon gas contamination in the area. Full Abstract Concern over radon gas's potential health risks when used or ingested in homes is growing, as is the issue with its presence in sources of drinking water. In this study, water samples were collected from various locations in Makurdi, Benue State, Nigeria, and the amount of radon gas present was measured using the Radon Detector (RAD-7). The study used a methodical sampling strategy to gather water samples from wells, boreholes, and surface water bodies throughout various Makurdi locations. The gathered water samples were examined using the RAD-7 detector, a trustworthy and sensitive device for measuring radon gas. The radon levels ranged from trace levels (20.0 ) to higher quantities (122.0 ), raising worries about potential health implications for nearby people reliant on these water sources. Thirty (30) samples of water were gathered for this investigation. The samples' radon content ranged from 10.3 to 122.0 Bq L-1, which is within the World Health Organization's (WHO) allowable limit and other regulatory bodies (100 Bq L-1) except in the sample collected from Court 5 and Logo1, which was higher than the set limit. The results of the analysis demonstrated that there were large variations within the range of 0.61 0.39-11.80 1.85 and a mean of 57.36 in the amounts of radon gas in the water samples obtained from the different sources. More research and monitoring are advised to gain a complete understanding of radon distribution and to develop workable radon risk reduction plans for water sources.

GPS Based Technology for Women Safety During Panic and Insecurity

In our Country, even though it has super power and an economic development, but still there are many crimes against women. The atrocities against the women can be brought to an end with the help of device, specially designed for women in distress. women are facing problems like harassment. We propose to have a device which is the integration of multiple devices, hardware comprises of a wearable device that endlessly communicates with sensible phone that has access to the web. The device consists of trigger button, GPS module(Neo-6M), Switch, soil moisture sensor(continuity purpose), Buzzer, esp32 microcontroller, LCD display. In this project, when a woman senses danger she has to press the button of the device. Once the device is activated, it tracks the current location using GPS (Global Positioning System)and wifi is connected then it stors data in the google fire base from that it send stored data to the mobile App. From the app the user get notification and he/she can use that devise by pressing the switch. buzzer is used as an alarm to alert the nearby people so that they may understand that someone is in need.

Nadiyah Marhani Siregar, Firman Eddy Design Of Childern’s Creativity Center In Medan City With Green Architecture Concept

This journal is made for us to know how important a place is for our future kids to find knowledge easily.Therefore, the children who are still hesitant to know where to go can find the place convenient. The large number of children within Medan city for the availability of facilities that the development of children's creativity not directly proportional shows that this needs to be considered, especially since curious is a period of growth stimulation that can affect future growth and development. To resuscitate and tell other people how important for us to know, that future kids will suffer for knowledge. The main problem for them is the ignorance of themself to find out where they can find the receptacle to head to. Therefore, it is necessary to design facilities for a Children’s Creativity Centre in Medan City that can meet the needs of conditions and can accommodate recreational and educational activities for children that can affect children's development with a Green Architecture approach. This research uses qualitative descriptive methods through field information and literature studies. This building applies the Green Architecture concept in the form of saving energy, being way more flexible with climate, keeping it safe for the site, and respecting the people nearby. So that this design can be a forum for children's creativity, which is expected to respond to the condition of children both physically and psychically, which can improve children's creativity.

Using Sensor Fusion and Machine Learning to Distinguish Pedestrians in Artificial Intelligence-Enhanced Crosswalks

Pedestrian safety is a major concern in urban areas, and crosswalks are one of the most critical locations where accidents can occur. This research introduces an intelligent crosswalk, employing sensor fusion and machine learning techniques to distinguish the presence of pedestrians and drivers. Upon detecting a pedestrian, the system proactively activates a warning light signal. This approach aims to quickly alert nearby people and mitigate potential dangers, thereby strengthening pedestrian safety. The system integrates data from radio detection and ranging sensors and a magnetic field sensor, using a hierarchical classifier. The One-Class support vector machine algorithm is used to classify objects in the radio detection and ranging data, while fuzzy logic is used to filter out targets from the magnetic field sensor. Additionally, this work presents a novel method for the manufacture of the road signaling system, using mixtures of resins, aggregates, and reinforcing fibers that are cold-injected into an aluminum mold. The mechanical, optical, and electrical characteristics were subjected to standardized tests, validating its autonomous operation in real-world conditions. The results revealed the system’s effectiveness in detecting pedestrians with a 99.11% accuracy and a 0.0% false-positive rate, marking a substantial improvement over the previous fuzzy logic-based system with an 81.33% accuracy. Attitude testing revealed a significant 33.33% reduction in pedestrian erratic behavior and a substantial decrease in driver speed (32.83% during the day and 70.6% during the night) compared to conventional crossings. Consequently, this comprehensive work offers a unique solution to pedestrian safety at crosswalks by showcasing the potential of machine learning techniques, particularly the One-Class support vector machine algorithm, in advancing road safety through precise and reliable pattern recognition.

Women's Safety Jacket

This project is all about creating a special jacket designed to enhance women's safety. In today's world, women often feel vulnerable and concerned about their well-being, especially when they're out alone or in unfamiliar surroundings. To address this issue, we have developed a smart jacket equipped with features like GPS, a distress signal, a camera, and a shock function. All of these components are controlled by a small computer called ESP 32. The primary goal of this project is to make women feel safer and more in control of their personal security. If a woman ever finds herself in an unsafe situation, she can use the jacket to send her location to the police, her family, or trusted contacts. The jacket also includes a loud alarm to alert people nearby. In case of a physical threat, the jacket can deliver a shock to deter potential attackers and simultaneously capture an image of the person for possible identification. Our project demonstrates that this innovative jacket can provide a practical and reliable solution for women's safety concerns. We envision a future where such technology can be further expanded to safeguard other vulnerable groups and individuals, making the world a safer place for everyone. Key Words: Women's Safety, Smart Jacket, GPS Technology, Distress Signal, Personal Security, ESP 32 Control

Развитие поликультурного образования в Татарстане и Казахстане

The research relevance can be explained by the fact that ethnic pedagogy with its rich traditions and experience in educating young people should serve as a tool in the context of globalization. Pedagogical science will be effective in addressing the values that lie in oral creativity and within customs and traditions of peoples. The study aims to reveal the mechanisms and tools of ethnic pedagogy in a multicultural educational environment. The leading research method is modeling. This method enables us to consider the development of multicultural education as a process of purposeful and conscious mastery of a certain type of multiethnic culture, the formation of which occurs through interethnic integration, social adaptation of the individual in a multinational society, through the knowledge of the cultural layer of the language reflecting the values. The author's developed model shows the process of formation and improvement of multicultural education in the elements of ethnic pedagogy and methodological provisions of the pedagogical process. The significance of the study lies in the combination of solutions to educational tasks for preservation of human cultural identity, development of tolerant behavior and respect for cultural differences of interethnic integration, development of common and unique traditions, lifestyle, values of nearby peoples.

Making waves: Mental health impacts of inadequate drinking water services - From sidenote to research focus.

The paramount significance of the harmful impacts of poor drinking water services on physical health have been recognized for decades. Besides, over the past twenty years, an additional body of literature on their negative mental health impacts has emerged. With this brief review, we summarise the findings of the scholarship to advance addressing overall health (physical, mental, and social) in the water sector. We furthermore review the key policy documents of this field with a focus on mental health aspects and give recommendations for practitioners and decision-makers on addressing mental health in water service delivery. We reviewed the existing published works (42) assessing psychological impacts of deficient drinking water services in low-income settings. We then identified and compared the different mechanisms causing negative mental health outcomes described in them. For these purposes, we used a water insecurity experience -model and the vulnerability-stress model of clinical psychology. Next, we probed key international and national guiding documents of the water sector to analyse how mental health issues resulting from poor services are addressed today. We found that according to the literature, poor quality and quantity of water was predictably one of the most important psychosocial stressors to users. Surprisingly, however, various kinds of water-service-related inequalities (e.g. between genders, communities or socio-economic groups) showed up as equally significant stressors. Our analysis with the vulnerability-stress model furthermore indicates that insufficient drinking water services may predispose to common mental disorders particularly through external stress. Existing field guidelines have evolved to highlight the values of non-discrimination and participation, whilst mental health aspects remain ignored. This should not be the case. Therefore, practices for addressing mental health effectively in documentation and water service development should be further researched. But already in the light of the existing literature, we urge stakeholders to focus more on the negative mental health impacts of unequal service provision for users and nearby people left without improved services.

CYCLICAL CONNECTION BETWEEN TRANSGENERATIONAL TRAUMA, HOSTILE ENVIRONMENT, EPIGENETIC MECHANISMS AND CORTISOL HORMONE

This narrative review demonstrates the close connection between the impact of traumas experienced across generations, added to an environment of unpredictability during an organism’s life history. The effects of trauma can be passed on to subsequent generations through epigenetic mechanisms and changes in the stress response axis, sensitivity to glucocorticoid receptors, and cortisol release. When associated, they form a line of continuous cause and effect in the life history of the individuals involved and their future generations, favoring new environments of unpredictability and risks that lead to more adverse situations and traumas. Consequently, descendants and nearby people can be impacted by cascading effects related to existing difficulties in environments considered hostile or unpredictable.

Nature's path to thinking about others and the surrounding environment

Research has shown differences in pro-social and pro-environmental attitudes after exposure to different physical environments. It is unclear whether these perspective shifts are associated with changes in conscious thoughts and feelings about other people and the environment. In Study 1, we used a within-subject experiment to measure social and environmental thought content throughout 1-h environmental explorations of a nature conservatory and an indoor mall. At three survey time points, participants (N = 86, undergraduates and community members) reported whom they were thinking about and how connected they felt to the physical and social environment. Using Bayesian multi-level models, we found that while visiting the conservatory, participants were less likely to think about themselves, felt closer to people nearby and around the world, and felt higher connectedness to their social and physical environment. In Study 2, we used a correlational design to investigate the association between perceived naturalness of city parks and feelings of connection to nearby others and the physical environment while visiting. Participants (N = 303, Chicago residents) reported feeling higher levels of connection to nearby people and the physical environment when they were visiting city parks rated as more natural. These studies further our understanding of the ways in which natural environments influence conscious thoughts and feelings about the social and physical environment.

Development of Cardiopulmonary Resuscitation Pillows for Increasing Number of Bystanders CPR In Lubuklinggau City

Introduction: Cardiac arrest is a situation that can lead to death if CPR is not immediately assisted. The chances of survival increase if the victims are directly helped by people nearby or CPR bystanders rather than waiting for the medical team to arrive. Training CPR bystanders requires large resources, including expensive CPR mannequins as a simulation medium. Creativity is needed to create cheap CPR simulation media with good feasibility. Objective: The study aimed to construct and test the effect of the CPR Pillow to improve the CPR skill in Lubuklinggau, South Sumatra, Indonesia. Method: Research and Development (R&D) with experimental tests, pre-test, and post-tests were applied in this study. Forty people were given two meetings within two weeks. Skill was measured by how the subject performed hand's-only CPR using the CPR Operational Procedure checklist. Result: The result of this study is the creation of a low-cost CPR pillow design that meets the eligibility as a low-fidelity simulation medium for CPR skills. The data analysis using the paired t-test showed a significant effect of CPR training using CPR Pillows on the trainees' hand's-only CPR skills (t=-37,749) with a value of p=0.000. Recommendation: This CPR pillow can be used as a hand's-only CPR simulation medium. CPR simulation using this CPR pillow is a low-fidelity simulation. There is a positive influence related to CPR training using this CPR pillow on the hands-only CPR skills of the trainees

Womens Safety System

Abstract: Nowadays, the amount of violence against women has increased by many fold due to the greater exposure of women in every field of life. It has now become a major issue. The crime rate is on the spike. The recent spate of crimes against women, particularly rape instances, has been terrifying. Women\'s safety in India has become a contentious issue as a result of such crimes. Despite international agreements, new legislation, and gender movement, women continue to be particularly susceptible to assault. Looking towards all these issues, we proposed a device which will be really very helpful to women. The system serves main purposes, first to send the victim\'s location to the preprogrammed contact numbers with the help of GPS and GSM. Secondly, she can turn the buzzer on so that nearby people can help her to get out of the situation.. we’ve got fade a requirement of advanced girls security system to provides the safety live publicly places likewise as travelling alone through public transports such as college Buses, Company Vehicles etc. This paper projected a brand-new model for the women security publicly places that aims to produce the 100 is most popularly liked for this mode of dominant in this application we square measure maintaining a switch. We offer numerous varieties of ways to access. Especially at night women think a lot before coming out of their homes. We daily come up with news of how women are subjected to a lot of violence and harassment or get molested in public areas. This paper focuses on the issue of helping Women that they don’t ever never feel alone in the middle of any situations. The project idea is to predict whether the given place at any time is safe for a woman to go or not.

WATER LEVEL MONITORING AND DAM GATE CONTROL OVER IOT

The cradle of our project is based on methodology of IOT. Water level in a dam needs to be maintained effectively to avoid complications. The quantity of water released is hardly ever correct resulting in wastage of water & it is impossible for a man to precisely control the gates without knowledge of exact water level and water inflow rate. We have designed a system in which real time things are interconnected to web. Water level sensors are placed in dam to serve the same purpose automatically and forward the status to raspberry pi. Raspberry pi unit checks that input and upload the status of water level on web. By this project each and every variation of water level is informed to control room through the internet (using blynk application) and nearby people can be informed in time thus saving lots of lives and avoiding the unpleasant scenarios.

Smart Aided Device for Human Safety Using IoT

Smart Aided Device for Human Safety Using IoT

Why Do Marine Mammals Strand on Land and How Can Humans Help?

Have you ever heard about, or maybe even seen, a whale or a dolphin that was helplessly lying on the beach or stuck in very shallow water? These are called “stranding events” or “strandings,” and have been documented since the fourth century. Back then, strandings involving cetaceans (whales, dolphins, and porpoises) were welcome events because they provided a rich source of food and other resources for the people nearby. But today, we tend to see strandings as events in which animals need human help. There are several types of strandings, each with their own possible causes. In this article, we explain what stranding events are, what might cause them, and how you can help if you ever find a stranded animal.

Smart Fire Fighting Robot

Ever since the Industrial revolution, more and more factories and industries are being set up around the world. Be it manufacturing or iron-steel industry. There are many places in factories, industries, manufacturing plants, oil fields, etc. where there is a risk of fire but they are unmanned. There may be fires in remote places like, in small gaps or in narrow pipes where humans can’t reach. The solution to these problems is our smart firefighting robot which can be controlled via mobile, and can even detect nearby fires and extinguish them. We aim to create a small smart firefighting robot that can be remotely controlled as well as act on its own by detecting nearby fire and extinguish it using on board water supply. The robot will use Arduino as well as NodeMCU so that it can be connected to Wi-Fi and controlled. The robot will also sound the buzzer whenever it detects fire, so that even if the fire can’t be extinguished, people nearby can be alerted.

Design and Implementation of a Local Area Network Based Multimedia Messaging Application

Communication these days has taken a huge turn to depend extremely on the internet. Software such as WhatsApp, Facebook, Instagram, and the general social media receive about a billion active users. This demonstrates how most communication has relied on the internet. However, this approach does not serve well under some conditions. Firstly, places without internet access suffer greatly from multimedia messaging. They are either unable to initiate a conversation at all or suffer a relatively slower user experience even when they message people in close proximity. Furthermore, the cost incurred in messaging people over these platforms with people nearby could be avoided should the communication be over a local area network rather than depending on the services of an Internet Service Provider. This project investigates the design and implementation of an efficient communication system for devices near each other that relies on any local area network that a particular device is connected to. Such targeted networks include mobile Wi-Fi and cable connections. This work designed and implemented a Local Area Network based Messaging Platform, capable of working on all local networks regardless of being cable or wireless. The system is extensible, allowing for a node to re-broadcast the network onto other networks it might be connected to and works without internet access, allowing the sending and sharing of text and media files.

MAPPING THE PROMOTION OF COMMERCIAL SEX SERVICES USING THE MICHAT APPLICATION: FROM PREVENTION TO SOLUTIONS

The disclosure of several cases of online prostitution using the MiChat application in major cities of Indonesia shows that the phenomenon of prostitution is increasing. Prostitution practices are prohibited in Indonesia as it included in human trafficking. Furthermore, prostitution using virtual networks is part of cyber-crime regulated in the Electronic Information and Transactions Law. Despite the existing regulations, online prostitution activity continues. One of the reasons is the use of social media and online applications that facilitate the distribution of sexual services. This study aims to obtain an overview of online prostitution activity through the MiChat application and its solutions. This study used a content analysis method equipped with interviews with informants who are competent in handling prostitution. The results of the study concluded that the 'people nearby' feature in the MiChat application was dominated by accounts aimed at online prostitution, including the promotion of sexual services through profile information, timelines, and uploading photos/ videos related to service offerings, payment execution, also customer testimonials. Various efforts have been made by the government by blocking negative content regarding prostitution, but unfortunately, the platform itself has not been closed. In addition, all parties have taken preventive measures in terms of the prevention and handling of online prostitution.

DWFH: An improved data-driven deep weather forecasting hybrid model using Transductive Long Short Term Memory (T-LSTM)

Forecasting climate and the development of the environment have been essential in recent days since there has been a drastic change in nature. Weather forecasting plays a significant role in decision-making in traffic management, tourism planning, crop cultivation in agriculture, and warning the people nearby the seaside about the climate situation. It is used to reduce accidents and congestion, mainly based on climate conditions such as rainfall, air condition, and other environmental factors. Accurate weather prediction models are required by meteorological scientists. The previous studies have shown complexity in terms of model building, and computation, and based on theory-driven and rely on time and space. This drawback can be easily solved using the machine learning technique with the time series data. This paper proposes the state-of-art deep learning model Long Short-Term Memory (LSTM) and the Transductive Long Short-Term Memory (T-LSTM) model. The model is evaluated using the evaluation metrics root mean squared error, loss, and mean absolute error. The experiments are carried out on HHWD and Jena Climate datasets. The dataset comprises 14 weather forecasting features including humidity, temperature, etc. The T-LSTM method performs better than other methodologies, producing 98.2% accuracy in forecasting the weather. This proposed hybrid T-LSTM method provides a robust solution for the hydrological variables.

Egocentric Human Trajectory Forecasting With a Wearable Camera and Multi-Modal Fusion

In this paper, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces. The trajectory forecasting ability learned from the data of different camera wearers walking around in the real world can be transferred to assist visually impaired people in navigation, as well as to instill human navigation behaviours in mobile robots, enabling better human-robot interactions. To this end, a novel egocentric human trajectory forecasting dataset was constructed, containing real trajectories of people navigating in crowded spaces wearing a camera, as well as extracted rich contextual data. We extract and utilize three different modalities to forecast the trajectory of the camera wearer, i.e., his/her past trajectory, the past trajectories of nearby people, and the environment such as the scene semantics or the depth of the scene. A Transformer-based encoder-decoder neural network model, integrated with a novel cascaded cross-attention mechanism that fuses multiple modalities, has been designed to predict the future trajectory of the camera wearer. Extensive experiments have been conducted, with results showing that our model outperforms the state-of-the-art methods in egocentric human trajectory forecasting.