Human AIDS Research Articles

PORTABLE CLOTHES WASHING MACHINE MODEL DESIGN ARDUINO BASED

The development of electronic technology provides great benefits for the world of electronics and for everyday life. Single chip computers, also called microcontrollers or microcomputers, also provide technology so that many human aids can be created. One of the tools to complete human tasks is washing clothes. Washing clothes is a routine task that humans do almost every day. It is true that automatic clothes washing machines have been created and many people are already using them, but in some cases, for example, people who travel or stay outside the home will find it difficult to carry or own a conventional clothes washing machine because it is large and takes up space to store. The aim of making this tool is to make it easier and simpler for people to use a clothes washing machine and to carry it everywhere. By using the Arduino system, the washing machine which originally used a module was replaced with an Arduino which is definitely simpler to use. Portability Easy to carry and use anywhere, including in dorms, small apartments, or while traveling. Efficiency Saves air and energy compared to general washing machines. Easy to use and operate. Suitable for small clothes: Ideal for washing small and delicate clothes, such as underwear, socks and towels.

Basic Study for Grasping the Human Gaze Movement of a Remoting-Ship Operator

Our research focuses on understanding the disparity in risk perception when operating maritime autonomous surface ships (MASS) between onboard and through screens. In our initial step, we conducted experiments using a ship simulator, involving 4 students aspiring to be navigators. They navigated through screens and participated in debriefing sessions. Human gaze movement was utilized to ascertain the ability to comprehend navigational risks solely through observation. Simultaneously, salivary alpha-amylase samples were taken to verify their accurate risk cognition. The key finding indicates that human gaze movement aids in precisely understanding navigational risks, suggesting the feasibility of future ship operations through screens. Our research targets navigators crucial in global logistics, aiming to enhance safety in remote ship operations by demonstrating that risk cognition is achievable through human gaze movement. This breakthrough is vital for the evolving realm of MASS operations.

Using anthropomorphism, transparency, and feedback to improve phishing detection aids

Phishing is a common cybersecurity threat to email users. An automated phishing decision-support aid can help users identify suspicious emails. The aid’s success depends on both the aid’s capability and the user’s trust in and usage of the aid. In this study, 465 participants were asked to judge phishing emails with an automated decision aid. We measured how users’ trust and decision making were affected by the type of aid (human, AI, text, no aid), gender (male, female), decision transparency (reasoning for aid’s decision present, absent), as well as feedback (present, absent). We found that an aid was helpful regardless of its anthropomorphic appearance (human vs. AI) and gender. Transparency was helpful with the human aid, but not the AI aid. Feedback effectively improved trust in all the aids, although it helped aid retention only for the text aid. Participants had overall positive comments about the aid and found it helpful. The findings can be applied to automated aid design to understand potential avenues for improving users’ trust, performance, and aid use.

Assessment of inflammatory suppression and fibroblast infiltration in tissue remodelling by supercritical CO2 acellular dermal matrix (scADM) utilizing Sprague Dawley models.

Human skin-derived ECM aids cell functions but can trigger immune reactions; therefore it is addressed through decellularization. Acellular dermal matrices (ADMs), known for their regenerative properties, are used in tissue and organ regeneration. ADMs now play a key role in plastic and reconstructive surgery, enhancing aesthetics and reducing capsular contracture risk. Innovative decellularization with supercritical carbon dioxide preserves ECM quality for clinical use. The study investigated the cytotoxicity, biocompatibility, and anti-inflammatory properties of supercritical CO2 acellular dermal matrix (scADM) in vivo based on Sprague Dawley rat models. Initial experiments in vitro with fibroblast cells confirmed the non-toxic nature of scADM and demonstrated cell infiltration into scADMs after incubation. Subsequent tests in vitro revealed the ability of scADM to suppress inflammation induced by lipopolysaccharides (LPS) presenting by the reduction of pro-inflammatory cytokines TNF-α, IL-6, IL-1β, and MCP-1. In the in vivo model, histological assessment of implanted scADMs in 6months revealed a decrease in inflammatory cells, confirmed further by the biomarkers of inflammation in immunofluorescence staining. Besides, an increase in fibroblast infiltration and collagen formation was observed in histological staining, which was supported by various biomarkers of fibroblasts. Moreover, the study demonstrated vascularization and macrophage polarization, depicting increased endothelial cell formation. Alteration of matrix metalloproteinases (MMPs) was analyzed by RT-PCR, indicating the reduction of MMP2, MMP3, and MMP9 levels over time. Simultaneously, an increase in collagen deposition of collagen I and collagen III was observed, verified in immunofluorescent staining, RT-PCR, and western blotting. Overall, the findings suggested that scADMs offer significant benefits in improving outcomes in implant-based procedures as well as soft tissue substitution.

Zidovudine, a brief history before the first antirretroviral in Mexico.

In the 1980s in Mexico, that of the «moral renewal», there was the opening to the market and the manifestation of human immunodeficiency virus (HIV) and AIDS. In this writing, the historical and therapeutic conditions are related to alleviate the syndrome until the arrival of the first antiretroviral. It is a reconstruction of the events, of which the medical-social, main clinical manifestations and of course the pharmacological therapy, until de the development zidovudina or azidotimidina of AZT, the first antiretroviral to be approved. Nevertheless, in the Mexican context, this event wasn't decisive to significantly change the morbility and the mortality.

Texture and Flag Color Extraction in Backpropagation Neural Network Architecture

A flag is a rectangular or triangular piece of cloth or paper used as a symbol of the state, association, body, etc. or as a sign. It is often also used to symbolize a country to show its sovereignty. Along with the large number of countries, the country's flag also has many varieties and colors. The use of computers as a human aid is expected to the extent that the computer's ability can replace the limitations that humans have. Humans can recognize an object by using their eyes and brain, but if the eyes and brain cannot work properly it will hamper human work. In this research, training will be conducted on the Back Propagation Neural Network Architecture. Characteristic data for image recognition is obtained by extracting texture features and RGB color features. So that the network can recognize the flags by matching the feature data obtained from the training carried out. Characteristic data obtained from 24 data consisting of 16 training images and 8 testing images. From the results of the image network training can be identified properly, the accuracy rate of object identification is 87.50%. GUI users are able to identify flag images based on RGB text and color features.

Vision Enhanced: Empowering Visually Impaired with Smart Sense Technology

People who are blind or visually impaired often encounter challenges when navigating streets and might not be aware of surrounding landmarks. To move from one location to another, they may need assistance such as a cane, guide dog, or human aid. This paper is based on the designing of integrated assistive devices for visually impaired people. It consists of the integration of two devices smart navigating helmet and a stick based on object detection. The novelty of this paper is that we are processing the data of both devices and then providing a better navigation solution. (Abstract) Keywords- YOLO, MQTT, Ultrasonic Sensor, Raspberry Pi 4, Image Processing (key words)

Drones in Human Aid and Disaster Relief using Thermal Imaging Technology

Disaster Rescue is a very dangerous job to carry out the process without risking more lives in the process as the environment plays a major role. To find the people, requires the system to identify the movement and recognize the human by using the Thermal imaging system in the place of low-temperature areas such as forests, flood areas, Dark places, and so on. Not just thermal but also RGB cameras, stereo cameras and Infrared cameras are used to gain the surrounding situational inference, and by using the intelligent system to identify humans by their body shape from a distance and using the CV pipeline the movement can be identified and confirmed for victims condition in the disaster area. By mounting the optical systems in the Drone, the process makes it safe for the people, and a quick rescue response can be implemented. Using the heavy payload carrying Drone to supply emergency kit and food supplies to the Victims on time. It as well can also act as an emergency communication Network establishment with the GPS to gain the location of a specific point of Disaster regions.

Clusters of heterogeneity of tuberculosis-HIV coinfection in Brazil: a geospatial study.

To analyze the geospatialization of tuberculosis-HIV coinfection in Brazil, from 2010 to 2021, and the correlation with socioeconomic, housing, and health indicators. An ecological study of Brazilian municipalities and states, with data from HIV and tuberculosis information systems, previously reported by the Ministry of Health. The crude and smoothed coefficients were calculated by the local empirical Bayesian method of incidence of coinfection per 100,000 inhabitants in the population aged between 18 and 59 years. Univariate (identification of clusters) and bivariate (correlation with 20 indicators) Moran's indices were used. A total of 122,223 cases of coinfection were registered in Brazil from 2010 to 2021, with a mean coefficient of 8.30/100,000. The South (11.44/100,000) and North (9.93/100,000) regions concentrated the highest burden of infections. The coefficients dropped in Brazil, in all regions, in the years of covid-19 (2020 and 2021). The highest coefficients were observed in the municipalities of the states of Rio Grande do Sul, Mato Grosso do Sul, and Amazonas, with high-high clusters in the capitals, border regions, coast of the country. The municipalities belonging to the states of Minas Gerais, Bahia, Paraná, and Piauí showed low-low clusters. There was a direct correlation with human development indices and aids rates, as well as an indirect correlation with the proportion of poor or of those vulnerable to poverty and the Gini index. The spatial analysis of tuberculosis-HIV coinfection showed heterogeneity in the Brazilian territory and constant behavior throughout the period, revealing clusters with high-burden municipalities, especially in large urban centers and in states with a high occurrence of HIV and/or tuberculosis. These findings, in addition to alerting to the effects of the covid-19 pandemic, can incorporate strategic planning for the control of coinfection, aiming to eliminate these infections as public health problems by 2030.

Drowning in the Information Flood: Machine-Learning-Based Relevance Classification of Flood-Related Tweets for Disaster Management

In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights from eyewitnesses to build a better understanding of the situation and design effective responses. However, filtering relevant content for this purpose poses a challenge. This work thus presents a comparison of different machine learning models (Naïve Bayes, Random Forest, Support Vector Machine, Convolutional Neural Networks, BERT) for semantic relevance classification of flood-related, German-language Tweets. For this, we relied on a four-category training data set created with the help of experts from human aid organisations. We identified fine-tuned BERT as the most suitable model, averaging a precision of 71% with most of the misclassifications occurring across similar classes. We thus demonstrate that our methodology helps in identifying relevant information for more efficient disaster management.

Information and Communication Technology on Human Resource Performance in Nigeria Port Authority (NPA)

This study investigates information and communication technology and human resources performance in Nigeria Port Authority, Lagos State. To achieve the objectives of the study, a descriptive survey was used. Primary data was collected using a closed ended structured questionnaire. The population for this study comprised of the entire staffs of Nigeria Port Authority in Lagos State which was 455 while the sample size it’as 216, this was determined with the application of Taro Yamane formulae n Ni —N (e) 2 The questionnaire was administered personally by the researcher for data collection, out 216 questionnaires administered, 162 responses and only 150 responses was used for the analysis resulting in a response rare of 69 percent which was considered as a sufficient representation of the organization. The study findings revealed that majority of the respondents agreed thcit there is a relationship between information and communication technology and human resources performance aid has higher strong positive ef/ct of .156 (.057), .667 (.000) and .771 (.000) at∝=0 respectively. Based on the fIndings, the researcher recommends that the management of Nigeria Port Authority should provide internet facilities to all their employees irrespective of the department. This is to ensure smooth and effective information to their clients be at home and abroad. Thus enable them performs better on the job to meet customer service satisfactorily. The study also recommends that for Nigeria Ports Authority (NPA,) to remain profitable by enhancing their asset base through sensitization oft/ic customers, they should app/v both mobile and internet networking from the comfort of their seats at home in order to reduce longer queues usually seen at the port. As the results showed, higher profitability is positivly related to high rate of ICT use.

Pro-inflammatory feedback loops define immune responses to pathogenic Lentivirus infection.

The Lentivirus human immunodeficiency virus (HIV) causes chronic inflammation and AIDS in humans, with variable rates of disease progression between individuals driven by both host and viral factors. Similarly, simian lentiviruses vary in their pathogenicity based on characteristics of both the host species and the virus strain, yet the immune underpinnings that drive differential Lentivirus pathogenicity remain incompletely understood. We profile immune responses in a unique model of differential lentiviral pathogenicity where pig-tailed macaques are infected with highly genetically similar variants of SIV that differ in virulence. We apply longitudinal single-cell transcriptomics to this cohort, along with single-cell resolution cell-cell communication techniques, to understand the immune mechanisms underlying lentiviral pathogenicity. Compared to a minimally pathogenic lentiviral variant, infection with a highly pathogenic variant results in a more delayed, broad, and sustained activation of inflammatory pathways, including an extensive global interferon signature. Conversely, individual cells infected with highly pathogenic Lentivirus upregulated fewer interferon-stimulated genes at a lower magnitude, indicating that highly pathogenic Lentivirus has evolved to partially escape from interferon responses. Further, we identify CXCL10 and CXCL16 as important molecular drivers of inflammatory pathways specifically in response to highly pathogenic Lentivirus infection. Immune responses to highly pathogenic Lentivirus infection are characterized by amplifying regulatory circuits of pro-inflammatory cytokines with dense longitudinal connectivity. Our work presents a model of lentiviral pathogenicity where failures in early viral control mechanisms lead to delayed, sustained, and amplifying pro-inflammatory circuits, which in turn drives disease progression.

The relationship between job redesigning, reskilling and upskilling on organizational agility

PurposeThis research explores the link between job redesign and skilling in three Lebanese service provider industries, aiming to understand how these factors affect organizational agility, a crucial factor for efficiency and effectiveness and promote long-term interventions through job redesign, upskilling and reskilling.Design/methodology/approachThis study employed two surveys, one for personnel (employees) and one for human aid managers (HR managers). These surveys collected data from 384 employees and 67 HR managers. The study utilized a work design questionnaire (WDQ), skilling application evaluation and the change acceptance model and testing to evaluate job redesign, skilling application effectiveness, technology acceptance and change readiness.FindingsIt was revealed that there is a significant and positive relationship between job redesign and the application of skilling programs. This relationship was shown to enhance organizational agility, with a particular focus on employees' technology acceptance and readiness for change. The integrated framework that combines job redesign, upskilling and reskilling was empirically tested and found to enable organizations to build their agility. The study also identified challenges and offered solutions for implementation, emphasizing the importance of employee responsiveness.Practical implicationsThis research emphasizes the need for organizations to adapt job designs and enhance employee skills to enhance organizational agility, recommending a structured approach that combines job redesign and skill development efforts.Originality/valueThis research integrates job redesign, upskilling and reskilling in Lebanese service provider industries, contributing to organizational change and workforce development. It emphasizes technology acceptance and readiness for change.

Surgical Sabermetrics: A Scoping Review of Technology-enhanced Assessment of Nontechnical Skills in the Operating Room.

To evaluate the current evidence for surgical sabermetrics: digital methods of assessing surgical nontechnical skills and investigate the implications for enhancing surgical performance. Surgeons need high-quality, objective, and timely feedback to optimize performance and patient safety. Digital tools to assess nontechnical skills have the potential to reduce human bias and aid scalability. However, we do not fully understand which of the myriad of digital metrics of performance assessment have efficacy for surgeons. A systematic review was conducted by searching PubMed, EMBASE, CINAHL, and PSYCINFO databases following PRISMA-ScR guidelines. MeSH terms and keywords included "Assessment," "Surgeons," and "Technology". Eligible studies included a digital assessment of nontechnical skills for surgeons, residents, and/or medical students within an operative context. From 19,229 articles screened, 81 articles met the inclusion criteria. The studies varied in surgical specialties, settings, and outcome measurements. A total of 122 distinct objective, digital metrics were utilized. Studies digitally measured at least 1 category of surgical nontechnical skill using a single (n=54) or multiple objective measures (n=27). The majority of studies utilized simulation (n=48) over live operative settings (n=32). Surgical Sabermetrics has been demonstrated to be beneficial in measuring cognitive load (n=57), situation awareness (n=24), communication (n=3), teamwork (n=13), and leadership (n=2). No studies measured intraoperative decision-making. The literature detailing the intersection between surgical data science and operative nontechnical skills is diverse and growing rapidly. Surgical Sabermetrics may provide a promising modifiable technique to achieve desirable outcomes for both the surgeon and the patient. This study identifies a diverse array of measurements possible with sensor devices and highlights research gaps, including the need for objective assessment of decision-making. Future studies may advance the integration of physiological sensors to provide a holistic assessment of surgical performance.

Kashi Tripti: A newly developed high-yielding mid-season edible-podded variety of vegetable pea

The COVID-19 epidemic has highlighted the crucial need to live a healthy lifestyle, particularly in metropolitan areas. As a result, there has been an increase in demand for functional foods that are high in important nutrients and support excellent health. Pea (Pisum sativum L.) is one of the oldest multipurpose legumes grown for human food, animal fodder, and ornamental and aids in ecosystem balance due to their innate nitrogen fixation potential (Devi et al., 2019; Devi et al., 2023). They are grown over an area of 7.04 and 2.59 million hectares for dry and green seeds, respectively (FAOSTAT, 2021). Peas have a beautiful balance of micro and macro nutrition profiles along with high dietary fiber, antioxidants and numerous important biomolecules, thus extremely useful in curing diabetes, cardio problems, certain cancers and many degenerative diseases (Kalloo et al., 2002; Kumari & Deka, 2021; Sharma et al., 2023).

Knowledge, Attitude and Practice Towards Milk Banking and Lactation Aids – Similarities and Differences of Medical and Nursing Staff in a Tertiary Care Hospital in India

Introduction Lactation education is an integral part of healthcare. In order to recognise and address the inconsistencies in perceptions, attitudes and delivery of lactation care, we developed the Lactation Aids and Milk Banking (LAMB) survey. Aim The purpose of the study was to compare the knowledge, attitude and practices of doctors and nurses about human milk banking and lactation aids and to examine institutional and individual barriers to and facilitators of the delivery of lactation care. Methods It was a cross-sectional study, and the survey questionnaire was administered electronically to neonatal physicians and nurses in a tertiary care hospital in India. Results There were 86 participants, including 54 doctors (63%) and 32 (37%) nurses. There was no significant difference in the knowledge score of doctors and nurses ( p = .61), although doctors scored significantly higher on the attitude and practices score as compared to nurses ( p < .0001). Amongst the doctors, the knowledge score was higher for faculty than residents ( p < .0001), though residents scored significantly higher on the attitude and practices score than faculty ( p = .0002). This study highlighted five facilitators and two barriers to LAMB and also revealed that physicians and nurses have relatively inadequate knowledge about lactational aids and milk banking. Conclusion Lactation education for staff can reinforce support for milk banking and lactation aids, thereby achieving the goal of exclusive breastfeeding. It is also important to mitigate barriers by establishing policies and guidelines in the unit for milk banking and the use of lactation aids.

A69Sustain and Spread: A Standardized Solution for High Quality Simulation

The past three years during Covid19 have brought significant changes to our simulation service, including a change of specialist extended faculty. As we began to resume our standard service, and new faculty members joined the team, it became apparent that we had been heavily reliant on individual faculty memory and had lost some organizational memory. This impacted the efficiency and quality of the service, as well as the experience for the new staff members. Therefore, we decided to evaluate all our courses to identify opportunities that would improve the overall service and help integrate new faculty. We initially used a scoping exercise based on the System Engineering Initiative in Patient Safety (SEIPS) framework [1] to evaluate all our courses looking at course design, scenario design, evaluation tools and course delivery to highlight themes for service improvement. Potential service improvement ideas were prioritized taking into consideration the Hierarchy of Intervention Effectiveness to ensure improvements were mixed across the person and system-focused levels [2]. The SEIPS scoping exercise highlighted inconsistency in course design, delivery and evaluation. As a team we set about designing a standardized approach that could be applied to both established and new courses, aiming to enable course resilience and retain valuable knowledge and documentation. We have designed and embedded standardization in all aspects of course design, delivery and evaluation: SEIPS based scenario design proforma Course introduction with a human factors workshop Incivility workshop Technical teaching aid for debriefing Human factors teaching tools Pre- and post-course evaluation Anonymized feedback from faculty was used to assess the impact of the standardized course design. This standardized approach has supported existing and new faculty to develop and run high quality courses; created a shared understanding of teaching content and delivery, and has had a positive impact on the consistency of course quality. By scoping and exploring our service we illuminated gaps within our organizational memory and were able to strengthen these by designing a series of innovative documents, proformas, teaching aides and evaluation. This standardized approach helps to enable consistent high quality, support new faculty, whilst still allowing for flexibility and adaptations when delivering courses. Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable.

The application of cognitive neuroscience to judicial models: recent progress and trends.

Legal prediction presents one of the most significant challenges when applying artificial intelligence (AI) to the legal field. The legal system is a complex adaptive system characterized by the ambiguity of legal language and the diversity of value functions. The imprecision and procedural knowledge inherent in law makes judicial issues difficult to be expressed in a computer symbol system. Current semantic processing and machine learning technologies cannot fully capture the complex nature of legal relations, thereby raising doubts about the accuracy of legal predictions and reliability of judicial models. Cognitive computing, designed to emulate human brain functions and aid in enhancing decision-making processes, offers a better understanding of legal data and the processes of legal reasoning. This paper discusses the advancements made in cognitive methods applied to legal concept learning, semantic extraction, judicial data processing, legal reasoning, understanding of judicial bias, and the interpretability of judicial models. The integration of cognitive neuroscience with law has facilitated several constructive attempts, indicating that the evolution of cognitive law could be the next frontier in the intersection of AI and legal practice.

IOT-Based Cultural Movement And Monitoring Systems With Renewable Energy Utilities

The procedure of watering for and keeping track of the temperature and humidity levels in the room has a significant impact on the growth and productivity of oyster mushroom plants. It is often believed to be less effective and efficient because people in the Banyuwangi district perform the irrigation process conventionally with human aid. In order to construct digital businesses, artificial intelligence, cognitive technology, and (IoT) are being developed. People's daily lives are becoming more advanced and connected because to this transformation. This will encourage the creation of fresh innovations. Given this context, the idea to undertake research on the method of automatically and continuously monitoring watering (spraying) mushroom production using the Internet of Things (IoT) developed. In order to improve the effectiveness and productivity of mushroom cultivation, this instrument is designed with a temperature sensor (LM35) to monitor the humidity conditions of oyster mushroom plants. It is also fitted with a solar renewable energy system. In order to improve the effectiveness and productivity of mushroom cultivation, this instrument is designed with a temperature sensor (LM35) to monitor the humidity conditions of oyster mushroom plants. It is also fitted with a solar renewable energy system. The five steps of this study's execution were: a needs analysis; tool design; tool prototype; prototype testing; and conclusion. According to test results, the IoT-based control system for watering mushroom cultivation has an average error of 0.1% when measuring temperature and an average error of 2.66% when measuring humidity. This is almost perfect in terms of sensor readings, indicating that it can be used properly. While the success rate for the spray control system using the IoT system after five trials was 100%, the voltage, current, and power for solar panels were 17.60 V, 4.10 A, and 55.7 Watt at 14.00 during the day.

Number of White Stork Ciconia ciconia Nests in Latvia Between 1934 and 2014

Abstract The article summarises the results obtained during the 7th International White Stork Census 2014 in Latvia as well as analyses of changes since 1934. More than 2000 participants were involved in the census. About 14,000 pairs of white storks (WS) were found nesting in Latvia in 2014, i.e. about 52% more than in 1934, and about 25% more than in 1994 and 2004. The breeding density was one of the highest in the breeding area — on average, 21.7 occupied nests/100 km2 territory and 60.8 nests/100 km2 agricultural lands. The proportion of occupied nests in 2014 was 90.1%, and the proportion of successful ones — 95.7%. The average number of raised chicks decreased from 2.7 in occupied nests and 2.8 in successful nests in 1934 to 2.1 and 2.4 in 2014, correspondingly. The main reasons for this decrease were deterioration of feeding conditions (amount and availability of food, as well as the regionally growing use of agricultural chemicals). Since 1934, considerable changes in WS nest location and human aid in their construction have been observed. Eighty years ago, an absolute majority of nests (about 80%) were built with human aid (artificial nest support) on trees; whereas in 2014, only 3.5% such nests were registered. Most nests (64.8%) in 2014 were built on electric poles without artificial support. According to observations after 2014, the growth of the breeding population of WS in Latvia has come to an end, and even a slight regional decrease has been observed. Nevertheless, at present, there are no reasons to consider the local breeding population of the WS as being endangered and vanishing.