bluuebunny/crossref_metadata_2025 huggingface dataset:
Beyond the Surface: Unveiling Gaps in Medical Education Through the Eyes of Diverse
Authors: Arza Alexis , Sejdiu Zane , Viveiros Matthew , James Alaina , Weingarten Michael , Giordano Carolyn
Published: December 2023

The ability to be able to visually identify and diagnose is fundamental to a health professional’s physical examination, impacting patient diagnosis and treatment. Inadequate education regarding disease manifestations in diverse skin colors hinders diagnostic skills and exacerbates health disparities. A critical deficiency exists in medical education regarding skin of color (SOC), namely, individuals at all levels of medical training, including students, residents, and attending physicians, have low confidence in identifying and diagnosing diseases in skin of color. To help further identify these concerns and gaps, this research project aims to identify medical students' confidence in recognizing cutaneous diseases in SOC and their viewpoints regarding SOC education at their institution. An eight-question, open-ended survey was provided to medical students before and after a presentation focused on skin of color. The survey assessed participants’ confidence in their diagnostic ability and perspectives on educational material provided by their institution. Among the 70 attendees, 58 (82.8%) and 64 (91.4%) completed the pre- and post-seminar surveys, respectively. There was a significant discrepancy in confidence levels when assessing cutaneous manifestations of internal pathology in light (Monk Skin Colors 1-5) versus dark (Monk Skin Colors 6-10) skin tones (p < 0.009). Notably, 78.7% (37/47) perceived the institutional learning materials as insufficient for SOC. Post-seminar reflections indicated that 87.2% (40/46) of students lacked confidence in diagnosing SOC, with 78.7% (32/46) citing inadequate curriculum coverage as the cause. An additional 8.5% (6/46) identified the predominance of white-centric medical descriptions as a hindrance. Students uniformly called for enhanced educational approaches, including better visual representation of diseases in darker skin. Medical education must continue to strive for increased SOC representation to train competent physicians in treating a diverse patient population and reduce health disparities in SOC patients.
Relationship between the number of lost teeth and the occurrence of depressive symptoms in middle-aged adults
Authors: Głuszek-Osuch Martyna , Cieśla Elżbieta , Suliga Edyta
Published: December 2023

Background
Many recent studies suggest the existence of a relationship between oral health and the occurrence of depressive symptoms. The aim of this study was to assess the relationship between the number of lost teeth and the occurrence of depressive symptoms in middle-aged adults.
Methods
The research material included the data of 11,901 individuals aged 40–64 years (7967 women). Depressive symptoms were used as outcome variables. The declared number of lost teeth was analysed according to the following categories: 0–4, 5–8, ≥ 9, and a complete lack of natural teeth. Multivariate logistic regression analysis for depressive symptoms was used in relation to the number of lost teeth. The following covariates were included in the adjusted model: age, sex, place of residence, education, marital status, BMI, diabetes status, stressful life events in the last year, use of antidepressants, smoking, and sugar and sweet consumption.
Results
The likelihood of both moderate (p < .020) and severe (p < .001) depressive symptoms increased the most with a total lack of natural teeth. A loss of more than 8 natural teeth was also significantly associated (p < .008) with the occurrence of severe depressive symptoms.
Conclusions
The results indicated that loss of natural teeth was positively related to the occurrence of depressive symptoms in middle-aged adults. Population aging will lead to growing problems related to oral health and its consequences, including mental disorders. As a result, appropriate prophylactic and educational actions need to be taken, dedicated to middle-aged individuals.
Analysis of risk factors for progression of hypertriglyceridemic acute pancreatitis and establishment of ultra-early prediction model
Authors: Yang Sen , Guo Mingyi , Jiang Chuangming , YIchi Nima , Ai Xinbo , Cheng Jianbin , Xu Xiaohong , Chen Yuping , Wang Zhenjiang
Published: December 2023

Background: To analyze the risk factors of disease progression in patients with hypertriglyceridemic acute pancreatitis (HTG-AP), and to establish a prediction model for ultra-early (24h) severity of the disease.
Methods: A total of 205 eligible patients diagnosed with HTG-AP who were hospitalized in Zhuhai people's Hospital (Zhuhai hospital affiliated with Jinan University) were included. Among them,147 patients were enrolled in the modular group and 58 patients were enrolled in the validation group.Based on R language analysis (version 3.6.3), the R package glmnet package was used to conduct Lasso regression analysis on variables (P<0.05) with inter-group differences and select the optimal predictive variables which can predict disease progression in early. The R package (rms package) was used and the optimal prediction variables were analyzed by Logistic regression. Then, the Decision Curve Analysis (DCA) was drawn to further verify the benefits of clinical patients in the model. Finally, external verification was carried out to further assess the predictive efficiency and generalizability of the risk prediction model.
Results: (1).There were no statistical difference in the basic data (including sex,age,basic disease) between mild group and severe group in the modular group(P>0.05). (2).There were statistical difference in the laboratory results (including GLU,Cr,PCT,TG,CHOL and D-dimer) between mild group and severe group in the modular group(P<0.05). (3).The results of multivariate Lasso regression indicated that GLU,Cr,PCT,TG,CHOL and D-dimer were independent predictors of hypertriglyceridemic acute pancreatitis severity. The optimal prediction variables were analyzed by Logistic regression. (4).Nomogram was drawn by rms package. The AUC was 0.788 and the C-index was 0.788. The C-index of internal verification was C-index=0.788(95%CI：0.785-0.791). Decision Curve Analysis showed that the prediction model had better clinical usefulness than active treatment or negative treatment if the threshold probability is within 12%-99%. (5).In the validation group, the AUC and C-index of external verification were 0.821(95%CI:0.714-0.928). Decision Curve Analysis showed that the prediction model had better clinical usefulness than active treatment or negative treatment if the threshold probability is within 10%-99%.
Conclusions: TG, CHOL, D-dimer and PCT within 24 hours of HTG-AP onset were the risk factors which could aggravate disease progression. The early prediction model based on the four risk factors could relatively accurately predict exacerbation trend in early phase of hypertriglyceridemic acute pancreatitis.
Digital technologies to promote social engagement of nursing home residents: A systematic review of existing literature
Authors: Daling Kim Laura , Ritter Johanna Katharina , Seibert Kathrin , Stolle Claudia , Rothgang Heinz , Wolf-Ostermann Karin
Published: December 2023

Background
Digital technologies are seen as helping to support and improve social interaction and participation of people in need of long-term care. This review aims to synthesize types of digital technologies used in nursing homes worldwide and their effects as reported by residents and staff members. In addition, inhibiting and facilitating factors in the use of these technologies are identified and potential for development is described.
Methods
A systematic literature review was conducted in April 2022 in the databases PubMed, CINAHL, IEEEXplore and ACM Digital Library from inception onwards for publications written in German or English language. Quantitative and qualitative studies were considered. The studies were selected by two independent reviewers according to predefined criteria. For critical appraisal, the RoB 2 tool was used for RCTs and a level of evidence rating for other studies.
Results
Of 6212 articles found, 24 studies were included. Different digital technologies were identified. The digital technologies most frequently examined in the included studies were mixed technologies, Information and communication technologies, Robotic pets and Virtual Reality. Two out of three included randomized controlled trails showed positive effects on the social participation of the residents, even if for one of them serious concerns on the risk of bias became visible. Thus, only for one technology, i.e. Paro, positive effects could be shown in an evaluation study with high level of evidence. Lack of infrastructure, high costs, ethical concerns, lack of training and user-unfriendly design were cited as inhibiting factors in the included studies.
Conclusion:
None of the included studies operationalized ‘social participation’ as a direct construct to measure effects. Instead, constructs of ‘loneliness’ or ‘social isolation’ are often used in the existing studies. Though respective technologies are attributed a high potential, there is no high-level evidence that digital technologies can promote social participation of nursing home residents (yet). Further research with high level of evidence is needed to access the constantly growing body of digital technologies and their impact on social participation. In the future, implementation and use of technologies, guidelines and policies for ethical use should be considered.
BUDUĆNOST RADA ILI BUDUĆNOST BEZ RADA: RAZMIŠLJANJA OD MARKSA DO DANAS
Authors: Jeremić Slađana
Published: December 2023

This text attempts to present and critically analyze two prevailing Neo-Marxist schools of thought on the future of work, that derive from Marx’s ambivalent attitude toward work and the role of technology in society. Contemporary thinking on the future of work is split between its humanization and overcoming alienation in a ca-pitalist society on one side, and anti-work and post-work theoretical perspectives that propose its abolition through automation and technological innovations introduced by capitalism on the other. A two-way evolution of the Marxist thought on the future of work will be presented in relation to the growing usage of digital technologies and the development of artificial intelligence, while the disagreement between the two schools of thought won’t be seen as a setback, but the focus will be shifted towards their joint contribution to reexamining the concept of work in social theory and political prac-tice. The question about the future of work will also be analyzed through the lens of gender, in order to draw attention to the position of the social reproduction work and the risk of it being perceived as a highly ethical and authentic form of work that does not require reorganization. An anthropological perspective that emphasizes the link between human communities and work, not in order to project the future society, but to examine the transformation of the concept of work in relation to social, economic, and political frames, that is, at the intersection of neoliberalism and the development of new technologies in the contemporary context, will also be taken into consideration. By analyzing the future of work through different paradigms, we are called to open a new chapter in social theory that will serve as inspiration for future political demands that would lead the society out of the capitalist system.
Assessing Surface Water Quality for Drinking Water Supply using Hybrid GIS-Based Water Quality Index (WQI) in Mahanadi River Basin (MRB), Odisha, India
Authors: Das Abhijeet
Published: December 2023

Surface water is an important source for drinking water supply in Mahanadi Basin, Odisha. The research was done to evaluate the water quality, that serves as the source of domestic water supply to many cities. Samples of water were taken from nineteen important sampling areas for a period of 2010-2023 and twenty water quality parameters were examined to determine the WQI, followed by Multi-Criteria Decision-Making (MCDM) evaluation. Employing the Weighted Arithmetic (WA) Water Quality Index (WQI) and Stepwise Weight Assessment Ratio Analysis (SWARA) WQI, this study finds areas where cumulative variables, such as sewage discharge, a falling water table, dilution, and surface runoff, that tends to cause water quality variations in a water body, over a given monitoring period, have had the greatest impact. The WA WQI and SWARA WQI in the study area ranges from 23.78 to 96.09 and 14.6 to 1065.2, respectively. Also, the river water ranged from excellent to very poor, encompassing excellent for approximately 15.8%, good for 68.4%, poor for 10.5% and very poor for 5.3% in case of WA WQI. While the general water quality, as per SWARA-WQI, it varied from excellent to extremely poor, comprising 84.21% excellent, 10.53% poor and 5.26% for extremely poor category. The overall WQI in the study area indicates that the surface water is safe and potable except few localized pockets in SP-(8), (9) and (19) blocks. The cause could be attributed to anthropogenic sources such as domestic sewage and agricultural runoff altered a few parameters– e.g., TKN and TC. Based on geostatistical results, Gaussian model produce a more accurate assessment as per nugget/sill ratio, ASE and RMSE. To delineate the feasible regions for drinking practices, MCDM models such as Compromise Programming (CP), Ordered Weighted Averaging (OWA), and Combined Compromise Solution (CoCoSo), were adopted. Finally, the results demonstrated that WQI generated using both indexing strategies matched the outcomes of MCDM models. To sum up, it is advantageous and gives a clear image of water quality to combine physicochemical properties, WQIs, MCDM, and GIS technologies to evaluate surface water suitability for drinking and their controlling variables.
Mechanical Properties of Carbon Nanotubes Reinforced Rubberized Blended Cement Concrete
Authors: Gopal Mekhana , Chaithra S
Published: December 2023

Tyre disposal is a significant global environmental issue that poses environmental risks. Tyre rubber waste material, often known as crumb rubber, is a waste product that works well in concrete applications. It is possible to have more flexible concrete while using the waste tire rubber. The purpose concerning this study be able produce Carbon Nanotube Reinforced Rubberized Blended Cement Concrete utilizing waste tyre rubber and fly ash as a prejudiced substitute for fine aggregate and cement. In rubberized concrete, replacement of soil accompanying morsel elastic shows decreases in the substance of hardened. To improve the strength of hardened, use carbon nanotubes as support in rubberized concrete. Crumb rubber is treated with cement coating which significantly shows improvement in chloride permeability. Combined effect of crumb rubber and carbon nanotube shows good performance in chloride permeability. The findings of this study show the mechanical properties of reinforced rubberized blended cement concrete containing carbon nanotubes.
Rutting Characteristics of Bituminous Mixture Exposed to Moisture
Authors: parvathy S S Sreethu , Ananthu S , Shaji Ashima , Vinoj Merlin Susan , Wilson K C , Praveen Preena
Published: December 2023

Rutting is caused due to continuous traffic loading which is a type of common pavement distress. The presence of moisture reduced rut resistance of bituminous mixture as they alter the bond strength of aggregate with bitumen. The minerals present in the moisture also enhances the moisture damage of the flexible pavement. Therefore, this study inquires to judge the effects of liquid in the empty out attitude of bituminous factual, ultimate coarse tiring coat used in India. The rut test was performed using the wheel rut tester after moisture conditioning. The moisture induced stress tester is used to condition the samples. A considerable reduction of rut resistance in the moisture conditioned samples was observed compared to control mix.
Second-order Oversampled Delta-sigma Analog to Digital Converter
Authors: Abhirami S , Vishnu D , Sreelal S , Sajeena A , Assis Anu
Published: December 2023

The Delta Sigma modulation technology has been around for a while, but because of technological advancements, the devices are now more widely used and feasible. The work proposes a multi-bit Delta Sigma ADC of second order having a very low power consumption. MATLAB Simulink is used to develop both the Delta Sigma ADCs of first and second order and the digital output is passed through a digital filter to recreate the original signal. According to simulation results, at 100 KHz frequency of output sampling, the Delta-Sigma modulator exhibits a Spurious Free Dynamic Range of 95.38 dB, and also it demonstrates that the designed Delta-Sigma ADC is capable of achieving an ENOB (Effective Number of Bits) of 11.83 bits and an SNR of 72.99 dB.
Offline Train Tracking System
Authors: Menon Abhishek R , Aravind Amritha
Published: December 2023

Population growth is directly related to transportation connectivity. In India, transport facilities are primarily served by Indian Railways. The work “OFFLINE TRAIN TRACKING SYSTEM” works on transmitter receiver-based logic. Transmitters are installed at stations and receivers are installed inside trains. When the train comes within range of the transmitter, the receiver receives the signal and displays the station name on the LCD screen. Transmitters installed at stations operate on 230 V AC and receivers in trains operate on 9 V DC. Work is not manually controlled. If the transmitter is on and the receiver is receiving the signal. Then, the station name is automatically displayed on the display. The work is not manually controlled. When the transmitter is ON and the receiver receives signals from transmitter, then the display unit automatically displays the station name. NRF Transceiver is used in both railway station and train. Lora transceiver can also be used in place of NRF transceiver module, it has the range of 2.5 Km, and it can be more helpful in the case of early projection of forthcoming station. NRF transceiver has the range of 500 meters. It is not expensive and effective in nature. Lora transceiver is expensive and more effective than NRF module. Microcontroller is used in this project, and it is programmed with Embedded C. LCD Display and voice alert is installed with the microcontroller. As the transceiver in the station gives area information to the transceiver located in the train, the microcontroller projects the station name in the display and voice alert is also installed.
A Study on Soil Sample to Evaluate the Suitability for Rammed Earth Construction
Authors: Suresh Abhirami
Published: December 2023

As man has realized sustainable practices to be followed for his sustenance on the planet Earth, alternatives to conventional practices are in research in every field. Global Status Report 2021 by the UNEP reported that 37% of global carbon emissions are from the construction sector. Here, the study focuses on the earthen construction method, particularly on Rammed Earth, which has been practiced worldwide since time immemorial. It is an energy-efficient, low-carbon embedded, and sustainable approach that is being researched and practiced worldwide to meet emission targets. Earthen building construction is not well practiced in many countries, India being a part, more studies have to be made on prevailing conditions of socioeconomic as well as engineering factors. The paper presents a comprehensive study on materials used for rammed earth construction, Tests to be done for both material and rammed earth specimens, Construction aspects, and a study on locally available soil to assess its viability for rammed earth construction. It also discusses the studies to be made to popularize the same to society as a sustainable alternative construction method and practice the same.
Face Recognition and Obstacle Distance Measuring System for Visually Impaired
Authors: Krishna M Aiswarya , Anugraha S , Fahad M , Anjali R
Published: December 2023

People who are visually impaired deal with numerous difficulties every day. They always require assistance. Independence from carers is increased through mobility. For persons who are blind or visually challenged, face recognition technology built into smart glasses may be a useful tool for recognizing people they contact with. Identification might be difficult when family members are mute. Blind persons can recognize their own family members rapidly, thanks to facial recognition technology. Using this method, the blind guy can hear the names of his neighbours and family members. With the use of worn eyeglasses fitted with an ultrasonic sensor, the blind can safely travel around various sites on their own, avoiding any potential risks they could run into, both fixed and mobile, and preventing any potential accidents. This system has an ultrasonic sensor that calculates the separation between two objects. The distance between the sensor and the item is determined by keeping track of how long it takes for the sound wave to produce and return after striking the impediment. The suggested smart glass solution is practical, light, very affordable, and very effective.
Design and Development of an Automated Electronic System for Intravenous Infusion Control, Monitoring and Alerting
Authors: Arun P , Manuel Anto , Fathima Dana , Philip Elias K , Shaju Maria , Suryadeep P
Published: December 2023

Intravenous simply means “within a vein.” People of all ages who are ill, hurt, dehydrated, or going through surgery use it. Compared to conventional manual techniques, automated IV infusion systems may provide improved accuracy, consistency, efficiency, flexibility, and monitoring increase patient safety, and raise the standard of care delivered by medical professionals. The project’s objective was to design and implement a fully automated low-cost user-friendly portable embedded-based system for monitoring, ceasing, and alerting intravenous infusion. This can be installed in hospitals, clinics, medical offices, ambulatory surgical centers, dialysis centers, nursing homes, and mental health and addiction treatment centers to monitor, cease and alert IV status to medical assistants. Successful design and implementation of an automated system that controls the intravenous infusion, stop the infusion when there’s no fluid inside, sends an alert to the smart device in the nursing room, and continuously updates the intravenous infusion status. Arduino Uno was considered the heart of the device, as it controls all the functions of the device. For connecting the device to the cloud, the ESP826601 WiFi module was used. Blynk was the IoT platform used to display the status of IV infusions. User can enter their username and password using a 4x4 matrix keypad and displays the details via a 16x2 LCD. Based on that, the system was expected to validate the entered user credentials and BMI details to automatically stop the IV infusion and alert medical professionals by monitoring the IV drip infusion. The system’s design and development increased patient safety while decreasing risk elements during infusion. The proposed system can be used to monitor the drip infusion of several patients from the nurse station.
Fund Transfer Tracking System using DLT
Authors: Nathasha K V , Adila Farha P K , Adithya T K , Kumar Vismaya Vinoth , Abhiram P
Published: December 2023

Blockchain is technology that is being adopted globally due to its decentralized, secure, immutable, and tamper-proof features. In India, funds are a contentious topic, and large sums of money are allocated to various schemes in the public interest. However, the lack of transparency in this process can be overcome by using blockchain to provide a fully secure and immutable environment for tracking funds. This paper proposes a blockchain-based government fund transfer and tracking system to enhance transparency, traceability, and accountability in the public sector. The system provides a secure, immutable, and decentralized platform for tracking funds, subsidies, and benefits provided by the government to citizens. The proposed system utilizes smart contracts to automate the transfer and tracking process and enable efficient verification of transactions. The paper highlights the benefits of using blockchain technology, such as increased trust, reduced corruption, and enhanced efficiency in government operations. The proposed system is designed to address the challenges faced by the Indian government in providing transparent and efficient services to its citizens.
An Experimental Study on Strength Analysis of Fully Recycled Mortar Cubes
Authors: Anand Amal , Priya R Lekshmi
Published: December 2023

Concrete has non-renewable raw materials that are in high demand globally as a result of the construction industry's explosive growth. In order to stop the depletion of natural resources, a substitute for these basic materials is needed. Concrete can be made with recycled aggregates (RA) and recycled powder (RP), which are materials made from construction and demolition (C&D) waste. However, more research and development are needed before this method can be put into practice. The purpose of this study is to evaluate the compressive strength of mortar cubes made with recycled powder and aggregates. Additionally, polypropylene fibers are added to this blend as an additive to test how well it performs.
Advanced Warning and Safety System for Worker at Confined Spaces
Authors: Farsana Adhila , Ameena Fouz K , Ijas Mohammed
Published: December 2023

Numerous toxic substances and gases that are present in the atmosphere can cause serious harm to human health. If the level of such gases surpasses the human body’s tolerance limit, a person may be in danger or perhaps perish if the quantity is sufficiently high relative to sustainability. The quantity of dangerous gases in regions where people live, such as homes and industrial areas, must be detected and measured by a gas detection and measurement system in order to deal with this kind of problem. Because there are more poisonous gases present in industrial settings, there is a higher chance that one of those gases will cause an accident. As a result, several types of gases are present in these places as exhaust gases. Therefore, a gas monitoring system is necessary for improved human life protection. In order to establish a monitoring system and estimate the number of people, it may be more efficient to measure these gases from a remote, safer location using wireless communication tools and components. Indication is delivered to mobile phones using GSM module if oxygen concentration levels are low or poisonous gas levels are high. The number of people and other gaseous parameters are displayed using LCD module.
Automated Waste Segregation using Machine Learning
Authors: Manikandan V , Arjun S , Visweswaran Athira , Sruthi N
Published: December 2023

Waste segregation is an essential process in managing and reducing waste. With the increasing amount of waste generated globally, there is a need for efficient and automated waste segregation techniques to reduce the burden on environment. Computer vision technology has shown greater potential in waste segregation, as it can automate the process, increase accuracy, and reduce human error. Computer vision-based waste segregation uses videos of waste and computer algorithms to detect and classify different types of waste materials. The system uses machine learning techniques to train and recognize various categories of waste, including metal, plastic, e-waste, paper, and glass waste. The algorithm identifies and classifies the waste materials based on colour, texture, shape, and other visual cues. This approach has several advantages over traditional waste segregation techniques including faster processing time, reduced labour cost, and increased accuracy in identifying and classifying waste materials. It also reduces the chances of human error and ensure that the waste is sorted correctly, which can ultimately lead to improved waste management practices and a cleaner environment. This is a promising technique that helps to reduce pollution due to waste disposal and create a sustainable environment.
Solar Roadways for Wireless Charging of Electric Vehicles
Authors: Sreelakshmi P , Rithu K , Vaikash M B , Anilkumar K R
Published: December 2023

Since the most feasible mode of transportation is road transportation, it has significantly increased during the past few years. So, there is a rapid increase in energy consumption and oil dominates among the various energies. But due to the huge carbon emission, it contributes to air pollution and climate change. Due to the higher energy efficiency and less carbon emission, electricity is more preferred but there are limitations for this too. By shifting from conventional to electric vehicles, carbon emissions in the transportation sector can be reduced. Solar energy is the most widely used renewable energy source, and it can be used to produce electricity, power electric vehicles, and provide power for electric infrastructure. Consequently, using solar energy to power roads is a viable strategy for sustainable transportation. This solar powered road will charge the electric vehicle by a mechanism such that when the vehicle moves over the road, it will automatically charge. The solar panels will charge the battery, and this is inverted to the wireless coils mounted inside the roads which are the transmitter coils. It actually has two parts - transmitter part and receiver part. The transmitter part is the coils mounted inside the roads and the receiver coils are placed under the vehicle. Once the vehicle starts moving over the road, it will charge automatically.
An Experimental Study on the Thermal Performance of Gypsum Partition Walls
Authors: Shaji Anjala , Manoj C M
Published: December 2023

Buildings can use less energy if they finish their walls and ceilings with gypsum board. The construction of homes, businesses, and factories uses this material, which was developed in Australia in the early 1990s and then adopted by other countries including China and India. Without the need for columns or beams, gypsum walls can be used as slabs and walls for structural and aesthetic reasons. A lack of fresh building supplies is a result of India's severe housing deficit. The use of sustainable solutions is always preferable when resources are few. To optimally use gypsum board as building material, methods are needed to reduce mold and condensation that frequently found on the material and inner surface of board. This study compares the thermal efficiency of several gypsum partition walls. The test parameters considered in the walls included with and without filler material on thermal performance. Filler materials considered as EPS sheets. Present study will help to choose the right combination of materials for improving the thermal performance of gypsum partition walled structures.
Dumpster Monitoring System
Authors: Krishna Arya R , Narayanan M Sankulesh , Barath R , Aneesh K , Balamurugan V
Published: December 2023

Waste generation and collection is a major concern in the present world. The major reason for this may be the unawareness of people or improper behavior of the people. The filled garbage bin always leads to the formation of different diseases for humans and also causes environmental issues. As a solution, this paper proposes an IOT-enabled dumpster monitoring system to maintain the environment safe and tidy. The heart of the design is a Node MCU module. The system uses an ultrasonic sensor to detect the garbage level in the bins and it is compared with the depth of the garbage container. The information on the undesirable level of garbage is intimated to the concerned authorities for further action. All the information regarding garbage monitoring is made available on a web page named a dumpster monitoring system. The main benefit of the system is that it maintains the collection of waste on time and prevents bin overflow.
Road Safety and Inter-vehicular Surveillance using V2V Communication
Authors: Sreelekshmi K , Pranitha J , Unnimaya K A , Vijitha S
Published: December 2023

Vehicle-to-vehicle (V2V) communication is a promising technology that can enhance road safety and traffic management. This project aims to develop a V2V communication system using ZigBee wireless technology and sensors to improve overtaking safety, overspeed detection and penalty system to prevent accidents. The system consists of a ZigBee wireless communication module and a set of sensors installed in each vehicle for establishing V2V communication between vehicles, allowing them to exchange real-time data. Sensors such as ultrasonic sensors and speed sensors are used to gather information about the surrounding vehicles and the speed of the host vehicle. Arduino is used for processing the sensor data and controlling the communication module, while NodeMCU is used to establish communication between the Arduino and the Blynk app, providing a user-friendly interface for monitoring and controlling the system. The system detects overtaking maneuvers by analyzing the distance and speed of the surrounding vehicles. When an overtaking maneuver is detected, the system sends an alert signal to the overtaken vehicle using Zigbee communication. The overtaken vehicle receives the alert and can take appropriate actions to avoid any potential collision. Additionally, an overspeed detection system is implemented using speed sensors, and if the host vehicle exceeds the speed limit, a penalty system is activated to impose a penalty on the driver. The overspeed information is communicated to the front vehicle using NodeMCU and Zigbee This project contributes to the field of intelligent transportation systems by leveraging V2V communication and IoT technologies to improve road safety and reduce accidents.
IoT Based Smart Medical Assistive Robot
Authors: Santosh Varsha , Aswin P , Archana V R , Anand S , Khan Vijitha , Balamurugan V
Published: December 2023

This paper highlights the growing significance of robotics in the healthcare industry, specifically focusing on ensuring the safety of healthcare workers such as doctors and nurses by minimizing direct person-to-person contact. The core objective of this project is to introduce a robotic system designed to operate within predefined paths, providing a versatile solution for various healthcare settings. The robot's movements and actions are pre-programmed and executed through an Arduino nano board, guided by signals received from RFID tags. Its primary functions include dispensing medication and collecting medical waste from infected individuals. To enhance its capabilities, this prototype incorporates a Node MCU unit that enables real-time monitoring and display of patients' physiological parameters, such as pulse and temperature, on a dedicated webpage. Through the integration of robotics and advanced technology, this research aims to revolutionize healthcare practices, ensuring improved safety and efficiency for both patients and healthcare professionals.
Adaptable Speed Charging Dock for Electric Vehicles
Authors: Vasundharan Amrith , Sarathkumar S , Aiswarya S , Shaji Albin Hanok , Raj Anandhu , Adarsh A S
Published: December 2023

The depletion of fossil fuels and the environmental challenges they pose have created new obstacles in the search for alternative energy sources. The advancement of electric vehicle (EV) technology is possible to address these issues However, traditional method of EVs charging is not only time-consuming but also inconvenient. To address this problem, we propose wireless fast-charging system that employs two receiver coils, in contrast to the usual method that uses only one receiver coil. The addition of two receiver coils maximizes the charging power. Innovations like the Usage of the Super Capacitor, RFID tag, Smart Energy Manager, and Speed reduction using ultrasonic sensor are included in our proposed system. The super capacitor can deliver power quicker than the batteries thereby reducing the charging time of an electric vehicle. The RFID tags for an electric vehicle can record and view vehicles’ real-time status and location. The smart chain energy manager can automatically direct energy to EVs as per the requirements during peak time.
Comparative Analysis of Standard Cascaded H-Bridge and Improved Switched Capacitor Multilevel Inverter
Authors: Gayathry P R , Sreehari S , George Alan Mathew
Published: December 2023

The demand for higher power quality in industrial applications led to the replacement of two stage inverters with multilevel inverters, which may provide multiple steps of ac output voltage with lower harmonic content. They can thus be utilized in high-voltage and high-power applications. Cascaded H bridge inverters are one of the most used multilevel inverter techniques. Yet as the number of output levels rises, H-bridge inverters use more voltage sources and switching devices, which is one of their main drawbacks. As a result, switching stress and losses rise. In this paper, a modified structure of a switched capacitor multilevel inverter (SCMLI) supplied from a single DC source and requiring fewer switching devices is compared to a conventional cascaded H-bridge inverter. This paper also presents the total harmonic distortion (THD) comparison of 9 levels, 17 levels, and 33 levels of switched capacitor and conventional cascaded H-bridge multilevel inverters. The THD of 9 levels, 17 levels, and 33-level conventional cascaded H-bridge inverters is 14.2, 13.2, and 7.5 respectively. By introducing the modified topology of a switched capacitor multilevel inverter the THD is reduced to 12.57, 9.59, and 4.4 respectively. From the comparison study, the modified SCMLI configuration is considered the most efficient topology with self-balanced voltage capability, a lesser number of switches, and reduced harmonics.
Marketing in the Era of Metaverse
Authors: Megha S , Anju P , Aryamol
Published: December 2023

In the last ten years, especially since the COVID-19 pandemic, growth of digital socialization has dramatically increased. The concept of the met averse, a virtual parallel world where people& lives might be digitally copied, is emerging quickly as a result of Meta’s expanding digital revolution. Users in the met averse have their virtual personas represented by avatars in assimilated online community. Based on user choices and interactions, these virtual worlds continue to develop and expand. The met averse is yet another venue for people who enjoy collecting stuff to display their passions. Despite the fact that there are guiding principles that might guide the kinds of techniques used, the met averse is still a relatively unexplored platform that offers lots of opportunity for experimentation. The purpose of Met averse is to increase consumer engagement while delivering a seamless brand experience. Virtual reality, 3D, and artificial intelligence may be used to provide captivating and successful advertising for the younger generation in this new digital environment. A number of businesses have started working together strategically to introduce their products in the Metaverse. Metaverse has become a main goal for major corporations like Facebook, Microsoft, and Google in order to be at the forefront of creating this ground-breaking creation. With the intention of “bringing the met averse to life,” Face book even changed its name to Meta. The prospect of the met averse is currently more real than hypothetical. This study is carried out to throw light on how Metaverse is transforming marketing scenario.
Study on Mechanical Properties of Blended UHPC using Recycled Glass Powder and Sugar Cane Bagasse Ash
Authors: Satyan Arya , Reshma C
Published: December 2023

Ultra High Performance Concrete(UHPC)) is a special concrete known to have better strength, durability and performance than normal concrete. It combines fibre reinforced concrete, self-compacting concrete, and high performance concrete. It consists of ordinary Portland cement, supplementary cementitious materials, micro steel fibers, fine aggregates, water reducing superplasticizers and water. UHPC consumes double the amount of cement than normal concrete and is costly. Cement manufacturing is a major contributor of carbon dioxide, a greenhouse gas. Sugar cane Bagasse Ash is an agro waste obtained from burning sugar cane waste obtained after extracting its juice. Sugar cane Bagasse Ash has good pozzolanic properties. Recycled Glass Powder is obtained by grinding glass waste into fine powder and shows better strength in hardened state concrete. The addition of sugar cane bagasse ash and recycled glass powder as cement replacement materials showed an increase in strength of blended UHPC mixture. Blended UHPC was found to be cost effective than normal UHPC.
A Review on Supply Chain Risk and Behavioural Factors in Humanitarian Relief Operations Responding to Disasters
Authors: Anoop C , Kumar V Regi
Published: December 2023

Catastrophe management strives to minimize or prevent possible losses from hazards, ensure appropriate and timely aid for disaster victims, and accomplish fast and efficient recovery. Both supply chain management and its use in disaster assistance have been well studied. Even with the implementation of lean, just-in-time, and zero-inventory practices, traditional supply chain management has been unable to adapt to these disturbances due to its limited focus on cost reduction for stable operations. The purpose of this literature review is to provide strategies for improving humanitarian supply chain support operations in the face of a wide range of disasters. The analysis shows that the humanitarian organization has several difficulties and constraints when it provides aid to the victims. Disasters like earthquakes, floods, and COVID-19 often have a greater impact because of inadequate living conditions and building regulations. Disaster assistance requires a wide range of resources, including rescue operations, medical aid, food, housing, and long-term relief initiatives. The effectiveness of any relief attempt is highly contingent on how quickly supplies can be supplied. When it comes to a disaster relief operation, the kind and scope of the demand, along with the timing and location of the event, are all unpredictable. Subsequently, the study examines the risk obstacles to supplying essential resources to the impacted area. The survey study also discusses the use of agile and lean technologies for humanitarian and logistical management in the areas of cost and product delivery. This develops superior operational performance techniques for pre- and post-disaster phases. According to the study’s findings, stakeholders should pay close attention to the logistical, operational, and material concerns in the management of the humanitarian supply chain.
Investigation on Mechanical Properties of High Strength Light Weight Concrete with Exfoliated Vermiculite and Glass Fiber
Authors: Devika Dev S , Praveen Preena
Published: December 2023

The concrete type known as high-strength concrete (HSC) has a high level of strength. HSC provides increased strength by the utilization of superplasticizers and silica fume. HSC is found to be very difficult to handle because of its high density. The density of HSC could be lowered with the use of lightweight aggregates. High Strength Light Weight Concrete (HSLWC) includes the behavior of both high-strength concrete and lightweight concrete. The lightweight aggregate used for HSLWC is Exfoliated Vermiculite (EV). It is a byproduct obtained from hydrous phyllosilicate minerals by heating. This provides various applications in the construction industry. This is an environmentally friendly material. Glass fibres will work as a strengthening element in concrete to make it strong and lightweight. The inclusion of glass fibers in HSLWC can raise its mechanical properties. Exfoliated vermiculite and glass fibres are integrated in this study to examine the mechanical characteristics of High Strength Lightweight Concrete (HSLWC).
THE ORGANISATION OF A SOCIAL MOVEMENT: THE CASE STUDY OF RASHTRIYA SWAYAMSEVAK SANGH MOVEMENT IN BHARAT
Authors:   Assistant Professor of Sociology, Govt. P.G. College, Chharra, Aligarh, Uttar Pradesh., Kumar Tiwari Pranay , Kumar Alok ,   Professor of Sociology, C.C.S University, Meerut, Uttar Pradesh.
Published: December 2023

The followers and office bearers of Rashtriya Swayamsevak Sangh, find RSS as only an organization, but, in the context of the sociology of social movements, Rashtriya Swayamsevak Sangh is a social movement that aims to develop integrity in the individual(Man-Making or Vyakti Nirman) for national reconstruction and rebuilding. The purpose of this paper is to analyze the organization of the Rashtriya Swayamsevak Sangh Movement in a sociological framework with a focus on both theoretical and practical aspects. In the theory part, an attempt has been made to find out (a)the emergence of the organization,(b)its organizational structure (c) its components and their activities(d) the training of volunteers (e) the source of funds (f)membership, decision making, etc. To know the empirical aspects of the movement, a field study was done by interviewing 200 followers participating in the movement. Apart from questions on various other aspects, they were asked about the - type of organization, the organizations important characteristics, and objectives, its relationship with politics, RSS(Sangh) welfare work for SC/ST, women, minorities, environment, and social role in times of disaster.
CRISPR: POTENTIAL USES AND CHALLENGES
Authors: Santram Abishay
Published: December 2023

CRISPR Cas is a genome editing tool, that has the potential to revolutionize the medical world. As a cheap and simple alternative to other gene editing technologies, it has grabbed scientists attention and is being actively studied. Its uses range from the removal of disorders caused by genetic mutations to developing rapid diagnostic tests. As well as a potential cure for cancer.This paper aims to understand CRISPRs potential along with the challenges it may face while providing a brief explanation of its mechanism.
Risk assessment based on effective patient radiation doses during multislice spiral computed tomography
Authors: Zaredinov D. A. , Li M. V.
Published: December 2023

The scientific article is devoted to the actual problem of modern medicine – the exposure of the public during multislice spiral computed tomography in the Republic of Uzbekistan. For the period 2017-2020 the number of computed tomography procedures increased from 175000 to 375000 (by a factor of 2), there was an increase in the collective dose from computed tomography from 987,5 to 2482,6 man-Sv (2.5 times). During the study the patient effective doses were calculated and the risks were assessed. The research work was carried out in medical institutions on CT units from different vendors. The examination protocols of 1126 adult patients were analyzed. The patient effective doses during MSCT of various anatomical regions were calculated from the DLP value and their comparative assessment was carried out. The radiation risk assessment was carried out on the basis of the effective dose using the nominal ICRP risk coefficients adjusted for age-related radiosensitivity. According to the results of the studies, it was found that when examining the head area, the effective doses of patients ranged from 1.3 ± 0.3 to 1.9 ± 0.2 mSv, the neck area – from 1.3 ± 0.3 to 2.4 ±0.3 mSv, the chest area – from 5.3 ± 0.7 to 6.6 ± 1,9 mSv, abdomen – from 7.0 ± 1.0 to 8.8 ± 1.6 mSv, small pelvis – from 7.8 ± 1.0 to 10.8 ± 2.5 mSv. The lifetime risk of long-term stochastic effects for the health of a patient from 18 to 65 years old was in the range of 10-4 – 10-3. The results of the study showed that the effective doses differ significantly from each other depending on the anatomical area of study of the patients. A person receives the highest doses of radiation when examining the pelvic and abdominal area, and smaller ones when examining the head area. The difference in the values of effective doses in the study of the same anatomical parts of the human body mainly depended on the weight of the patients, the length of the studied anatomical area, the model of the computer tomograph.