bluuebunny/crossref_metadata_2025 huggingface dataset:
Binary star population of the Sculptor dwarf galaxy
Authors: Arroyo-Polonio José María , Battaglia Giuseppina , Thomas Guillaume F. , Irwin Michael J. , McConnachie Alan W. , Tolstoy Eline
Published: July 2023

Aims. We aim to compute the binary fraction of “classical” dwarf spheroidal galaxies (dSphs) that are satellites of the Milky Way (MW). This value can offer insights into the binary fraction in environments that are less dense and more metal-poor than our own galaxy. Additionally, knowledge of the binary fraction in dwarf galaxies is important with respect to avoiding overestimations of their dark matter content, inferred from stellar kinematics.

Methods. We refined an existing method from the literature, placing an emphasis on providing robust uncertainties on the value of the binary fraction. We applied this modified method to a VLT/FLAMES dataset for Sculptor, specifically acquired for the purpose of velocity monitoring of individual stars, as well as to literature datasets for other six MW “classical” dSphs. In all cases, the targeted stars were mainly red giant branch stars, with expected masses of around 0.8 M⊙. The VLT/FLAMES dataset offers the most precise binary fractions compared to literature datasets, due to its time baseline of 12 yr, along with at least nine repeated observations for each star.

Results. We found that the binary fraction of Sculptor is 0.55−0.19+0.17. We find that it is important to take into account the Roche lobe overflow for constraining the period distribution of binary stars. In contrast to what has recently been proposed in the literature, our analysis indicates that there is no evidence to support varying the properties of the binary stellar population or their deviations from those established for the solar neighborhood, based on the sample of MW dSphs analyzed here.
Smart Safety and Accident Prevention System
Authors: J Muralidharan , L.P Sindhuja , S Srinivasan , K.V Sunshetha , P Surendhran
Published: July 2023

The primary cause of road accident results in fatalities, serious injuries and monetary losses is known to be due to drowsy or sleepy drivers, according to analysis reports on recent traffic accidents. Lack of sleep, medication, drugs, or prolonged driving contributes to drowsiness. A system that can identify a driver’s drowsy state and warn him before an accident occurs is required to avoid roadside accidents caused by distracted driving. Many researchers have recently expressed their interest in drowsiness detection. The methods essentially involve monitoring the driver’s physiological or behavioral 1summarizes some of the most recent methods put forth in this field is given. We propose an algorithm to monitor eye blinks that uses eye feature points to determine whether the eye is open or closed and sets off an alarm if the driver is drowsy. In-depth experimental results are also provided to highlight the benefits and drawbacks of the proposed method.
Approximate Multiplier based on Low power and reduced latency with Modified LSB design
Authors: Senthil Kumar K.K. , Vignesh R. , Vivek V.R. , Ahirwar Jagdish Prasad , Makhzuna Khamdamova , kumar R. Ram
Published: July 2023

The devised approximation multiplier can adapt the precision and processing power needed formul triplication sat run-time based on the needs of the user. To decrease error distance, we also suggest a straight forward error compensation circuit. There are two types of approximate multi pliers. Dynamic voltages caling can be used for the first kind, which controls the timing route of the multiplier. If the voltage is lower, the critical path will take longer to complete. As a result, when the time path is violated, errors occurs and approximated results are produced. These cond types involves redesigning precise multiplier circuits like the Wallace Tree Multiplier and Dadda Tree Multiplier in order to change the functional behaviors of multipliers. Most of the earlier research on rebuilding multipliers suggested erroneous m-n compressors, which have m inputs and producen outputs. It dynamically reduces the area covered under the multiplier LSB which enables the MSB in accurate manner and LSB in approximate manner. This convolution al system approach is regarded to sequential cover up more than 32 bit multiplier. Since the accompanied circuit reduce then tire area by10times lesser than original multiplier, this conventional unit is regarded as abled circuit in the segment. Since the process of compressing partial products absorbed the majority of the multiplier energy and resulted in a consider able route delay, these incorrect compressors were utilized to compress the partial products within multiplication. These functionality are over come through our experimental setup.
Performance Analysis Of SRAM and Dram in Low Power Application
Authors: Yuvaraj S. , Padmanaban D. , PraveenKumar G. , Sahu Satendra , Umida Masharipova , Yokeshwaran R.
Published: July 2023

All electronic systems must function quickly in the current environment, and 80 percent of electronic chips have memory components. SRAM (Static Random Access Memory) has thus become a major key component in many VLSI Chips in order to reduce the size of the memory chips, to increase the speed, to reduce leakage current, and to increase the power efficiency. Due to its high storage density and quick access time, it has also become a popular data storage device. SRAM has been given priority in the research community due to the recent sharp development in low power and low voltage memory devices. In this study, the design and performance of SRAM and DRAM cells were analyzed. This paper outlines the development and application of modified 6T SRAM cell with increased power efficiency.
Sea Water Channel for Underwater Communication
Authors: Priya T.Sri , J Keerthana , L Dhivya , Tiwari Annapurna N , Durdona Toshpulatova
Published: July 2023

A potential underwater communication technology is water communication. Because of the limited physical scale, testing underwater data transmission in the laboratory differs from testing in a real-world water environment. Albeit fake dispersing specialists have been utilized to reproduce submerged correspondence through water channels under various correspondence climate conditions after the last many years, the comparability between test water and regular water isn’t dependable, for instance, the likeness of recurrence area qualities. It examines a number of distinct substances that precisely alter the water’s coefficients. As a reliability criterion for water recreation, the frequency range of data transmission through the test water’s water channel is then measured and compared. The findings demonstrate that the nature of the substances and the size of the particles have a significant impact on the properties of this water, and that the concentration of substances has an effect on the frequency domain portion of the water communication signal. If the water between the gaps contains a separate tx and rx module. Modules enable us to inform the onboard monitoring manager of marine scientist interactions and biomedical conditions.
Site selection for solid waste management in Krishna district, Andhra Pradesh using GIS
Authors: Dande Jyothika , V Mallikarjuna
Published: July 2023

Solid waste management involves collecting and processing garbage. It also recycles products. Solid waste management helps determine the best ways to use industrialised garbage. Industrialization produces chemicals and other waste products that harm human health. Solid waste management reduces this impact. Waste management has several ways. This study examined Krishna district in Andhra Pradesh. This study collects soil and geological data. This study shows how GIS may be utilised for waste management planning. The result shows the solid waste management area. So, garbage management should be simplified.
Watershed Delineation and Morphometric Analysis Using Gis and Remote Sensing
Authors: Ragi Rahitya , V Mallikarjuna
Published: July 2023

A watershed is a territory from which many rivers and streams drain into a common reservoir. The first step in reaping the benefits of watersheds is identifying them and determining how much water they supply. Important watershed parameters may be defined and calculated using a Geographic Information System (GIS). The city of Chittoor in the Indian state of Andhra Pradesh is being investigated here. The Google Earth engine is used to create a LULC map (land use land cover), and USGS Earth Explorer is used to gather DEM data to define watersheds to better understand the study area’s landscape. Watershed boundaries and morphometric parameters are presented in the current study.
Optimal site selection for establishing solar power plant based on solar radiation using GIS
Authors: Srikanth Y.M. , Sajja Satish
Published: July 2023

Although many nations employ solar energy as a backup energy source, not every site is equally conducive to the production of solar power. This is caused by the unequal dispersion of solar energy as well as a number of environmental conditions. The framework incorporates a number of Geographic Information Systems (GIS) features, including model builder and area classification. The framework used to derive the five sub-criteria weights determines the ideal locations for plant in the area based on the quantum of potential photovoltaic electricity production (PVOUT) that could possibly produce from Slope, exposure to sunlight, near to highways and closeness to a residential area. Finding the best locations for solar plant side identification in the “Anantapur” district using multicriteria decision analysis (MCDA).
Experimental Performance Analysis Of Free And Forced Fully Developed Air Flow Green House Solar Dryer Using Curry Leaves
Authors: Kumar M Ashok , G Kumaresan , M Sivagaminathan , R Siva Subramanian , C Gururaj
Published: July 2023

The world is beginning to move away from its consumption of fossil fuels. Various technologies are being developed to make use of renewable energy sources such as wind, solar, and tidal, etc. Solar energy is the best choice among these sources because of it is readily available, abundant, and capable of producing both electric energy and space heating. Solar energy can be used directly or indirectly to dry agricultural and non-agricultural products to preserve them for long a period without formation of fungi. Drying of herbal leaves is an important process in Siddha and Ayurvedic industries to produce herbal medicines in power form. However, as herbal leaves are dried in the open sun, they are susceptible to environmental factors such as rain, insects, and livestock. These disadvantages of open-air drying shall be overwhelmed by greenhouse solar dryer. Greenhouse solar dryer with natural convection, forced convection with hot air supply are the existing methods, but when supplied with hot air, the rise in temperature leads to nutrient loss in herbal leaves. In order to avoid this loss in nutrients, the current work gives a solution that the temperature of forced convection greenhouse dryer can be reduced and controlled by supplying the ambient air at inlet flow in a fully developed air region, and this method can also leads to reduction in colour loss with possibly same or higher drying rate compare to natural convection greenhouse dryer.
Experimental Analysis of Self-Compacting Concrete Behavior by Replacing Cement with Fly ash
Authors: Bari J Abdul , Singh A Kuldeep
Published: July 2023

The experiment looked at how self-compacting concrete behaves when Fly ash is used to replace a portion of cement. SCC’s popularity has risen dramatically in recent years. The study’s goal was to see how different amounts impact the characteristics such as the compressive strength and long-term durability of SCC. The goal of this research is to see whether a portion of the cement in SCC and other types of concrete might be replaced with fly ash might impact the SCC’s qualities. Several SCC mixes were made during the experimental stage using various fly ash and cement ratios. Following that, the ability of these mixtures to be worked was evaluated using a number of different tests. Other characteristics of the mixtures were investigated as well, specifically their resistance to deformation. Findings of this research suggest that employing fly ash instead of cement may be a realistic and environmentally benign strategy to significantly improve SCC performance while also saving money. The results have the potential to serve as a useful resource for both building professionals and academics engaged in the conception and creation of concrete that is both resistant to wear and tear and kind to the natural world.
Analytical Study of Base Isolation- A Review
Authors: R Vetturayasudharsanan , K K Harini , S Rajakumari , S Aarthy , T Sivashanmugam , P V Vishalraj , S Sarathkumar , A Venkatesh
Published: July 2023

Now a days the rate of happening of seismic events increasing and due to that so many structures got collapsed or damaged. In order to reduce the damage to structures during earthquakes, now a days the base isolation system is widely adopted and used over the world. This paper makes a wide review on the various base isolation techniques adopted and used. Different types of isolating bearings and materials used in it are reviewed. Here the review is done for the isolation system in normal R.C buildings (regular and irregular in plan) and also for bridges. The effect of base isolation system on some historic structures is also reviewed. The various advantages and disadvantages of different isolating bearings are reviewed. Here the effect of temperature on some isolating devices are also reviewed.
Experimental investigation on no fines concrete by addition of natural fibres
Authors: NP Srinivasan , ME Mahilan , S Vigneshwaran , P Vijayaraghavan , S Aravinth , R Gokulakrishna , P Mukesh
Published: July 2023

No fines concrete is a type of lightweight concrete that is made without the use of fine aggregates. In this experimental investigation, the effect of adding bamboo and sugarcane fibres on the mechanical properties of no fines concrete was studied. The specimens were prepared by replacing a portion of the coarse aggregates with 1.5% of bamboo and sugarcane fibres by volume. The specimens were tested for compressive strength and splitting tensile strength at 7, 14, and 28 days of curing. The results showed that the addition of bamboo and sugarcane fibres improved the mechanical properties of no fines concrete. The optimal percentage of fibre content was found to be 1.5% by volume, which improved the compressive strength and splitting tensile strength by 23% and 18% respectively, compared to the control specimens. Additionally, the use o natural fibres in no-fine concrete can result in a more sustainable and eco-friendly construction material.
Accurate Prediction of Myocardial Infarction By Comparing Logistic Regression Algorithm with CatBoost Classifier
Authors: Anudeep Rayini , Thangaraj S. John Justin
Published: July 2023

Aim: The forecast of Myocardial Infarction for humans employing a Machine learning model by corresponding a Logistic Regression Algorithm with a CatBoost Classifier. The accuracy is enhanced by utilizing the novel LR Classifier. Materials and Methods: The study utilized a total of 20 sample iterations, with 10 samples per group. Group 1 was analyzed using a logistic regression algorithm, while Group 2 was analyzed using a decision tree classifier. The statistical power was set at 80%, and the confidence level was set at 95%. Results: The accuracy of the outcome with logistic regression is 94.61% and CatBoost Classifier is 79.516%, both the groups are statistically significant as p = 0.015 (<0.05) is the significant value in the independent sample T-test between LR and CB Classifier. Conclusion: This research concludes that the logistic regression algorithm gives the most accurate mortality with the difference of 15.1%, compared to the CatBoost Classifier.
An Efficient Approach to Detect Fraudulent Service Enrollment Websites with Novel Random Forest and Compare the Accuracy with XGBoost Machine Algorithm
Authors: S Meghana , R Senthil Kumar
Published: July 2023

Aim: The main aim of this research study is to detect fraudulent service enrollment websites using the Novel Random Forest algorithm and compare its accuracy with the XGBoost classifier algorithm. Materials and Methods: This research involved comparing two groups namely Random Forest and XGBoost. In this study, 1784 dataset samples had been utilized for statistical analysis. Dataset splits into training and testing which have 1200 of training and 584 of testing. The Gpower test was utilized with a setting parameter of 85% (α=0.05 and power=0.85) to determine the appropriate sample size. With a sample size of 10 and a confidence interval of 95%, we aimed to predict fraudulent service enrollment websites. Results: The significant value of p=0.000 (p<0.05) is statistically significant for detecting fraud websites. The Novel Random Forest algorithm demonstrates higher accuracy in recognizing objects and enhancing the evaluated data, with an accuracy rate of 92.634%, compared to the XGBoost classifier which achieves an accuracy of 75.545%. Conclusion: The accuracy of Novel Random Forest is better when compared to accuracy of XGBoost classifier.
Deep Learning Techniques for Image Recognition and Object Detection
Authors: Sharada K. , Alghamdi Wajdi , Karthika K. , Alawadi Ahmed Hussein , Nozima Gulomova , Vijayan V.
Published: July 2023

Particularly in the fields of object identification and picture recognition, deep learning approaches have transformed the science of computer vision. This abstract provides a summary of recent developments and cutting-edge methods in deep learning for applications like object identification and picture recognition. The automated identification and classification of objects or patterns inside digital photographs is known as image recognition. Convolutional neural networks (CNNs), for example, have displayed outstanding performance in image identification tests. By directly learning hierarchical representations of visual characteristics from raw pixel data, these algorithms are able to recognize complex patterns and provide precise predictions. The ability for models to learn sophisticated visual representations straight from raw pixel data has transformed applications like object identification and picture recognition. The development of extremely accurate and effective systems has been accelerated by advances in deep learning architectures and large-scale annotated datasets. Further advances in object identification and picture recognition are anticipated as deep learning develops, with applications in a variety of fields including autonomous driving, surveillance, and medical imaging.
Secure Multi-Party Computation for Collaborative Data Analysis
Authors: Alghamdi Wajdi , Salama Reda , Sirija M. , Abbas Ahmed Radie , Dilnoza Kholmurodova
Published: July 2023

A potent cryptographic mechanism called Secure Multi-Party Computation (SMPC) has evolved that allows numerous participants to work together and execute data analytic tasks while maintaining the privacy and secrecy of their individual data. In several fields, like healthcare, finance, and the social sciences, where numerous stakeholders must exchange and evaluate sensitive information without disclosing it to others, collaborative data analysis is becoming more and more common. This study gives a thorough investigation of SMPC for group data analysis. The main goal is to give a thorough understanding of the SMPC’s guiding ideas, protocols, and applications while stressing the advantages and difficulties it presents for fostering safe cooperation among various data owners. In summary, this study offers a thorough and current examination of Secure Multi-Party Computation for Collaborative Data examination. It provides a thorough grasp of the SMPC deployment issues as well as the underlying ideas, protocols, and applications. The goal of the article is to function as a useful resource for researchers, professionals, and decision-makers interested in using SMPC to facilitate group data analysis while protecting confidentiality and privacy.
Computational Intelligence for Solving Complex Optimization Problems
Authors: Khan Shakir , Moorthy G. Krishna , T Vijayaraj , Alzubaidi Laith H. , Barno Abdullaeva , Vijayan V.
Published: July 2023

Complex optimization issues may now be solved using computational intelligence (CI), which has shown to be a powerful and diverse discipline. Traditional optimization approaches frequently struggle to offer efficient and effective solutions because real-world situations are becoming more complicated. Evolutionary algorithms, neural networks, fuzzy systems, and swarm intelligence are just a few examples of the many methods that fall under the umbrella of computational intelligence and are inspired by both natural and artificial intelligence. This abstract examines how computational intelligence techniques are used to solve complicated optimization issues, highlighting their benefits, drawbacks, and most recent developments. In this, computational intelligence techniques provide a potent and adaptable solution for resolving challenging optimization issues. They are highly adapted for dealing with the non-linear connections, uncertainties, and multi-objective situations that arise in real-world problems. The limits of computational intelligence have recently been pushed by recent developments in hybrid techniques and metaheuristics, even if obstacles in algorithm design and parameter tuning still exist. Computational intelligence is anticipated to play an increasingly significant role in tackling complicated optimization issues and fostering innovation across a variety of disciplines as technology continues to advance.
Intelligent Robotics: Navigation, Planning, and Human-Robot Interaction
Authors: Tonk Anu , Dhabliya Dharmesh , S Sheril , Abbas Ahmed H. R. , Dilsora Abduvalieva
Published: July 2023

The development of robotic systems that are able to independently navigate their environments, effectively plan their activities, and communicate naturally with people has given rise to the field of research known as intelligent robotics. The objective of this abstract is to give a summary of the developments in intelligent robotics with regard to planning, navigation, and human-robot interaction. As a result, the fields of navigation, planning, and human-robot interaction have seen notable breakthroughs in intelligent robots. Robots are now capable of navigating across complicated areas with efficiency because to the development of reliable navigation algorithms. Robots may now use planning strategies to make wise judgments and carry out activities on their own. Additionally, research on human-robot interaction has concentrated on creating user-friendly interfaces that allow for seamless collaboration between humans and robots. These developments open the way for intelligent robots to become fundamental elements of our society, improving output, security, and quality of life across a range of fields. But more study is still needed to address issues like long-term autonomy, environment adaptation, and the moral ramifications of widespread use of intelligent robots.
A Zigbee Garbage Bin Monitoring system with IoT
Authors: Preetha M. , M Akshaya , A Arthima , Pahade Akhilesh Kumar , Khamida Nusratova
Published: July 2023

One of the critical responsibilities in ensuring a clean and pollution-free society is maintaining garbage disposal. Damage to the environment and human health results from improper garbage maintenance and disposal. However, it can be seen that garbage bins in several places including cities are left to overflow on streets. With the development of IoT, this scenario can be improved by providing screening of the status of trash bins. A Bin Level Monitoring Unit (BLMU) consists of the end sensor with the bin. The filled status of the garbage bin is detected and sent to a Wireless Access Point Unit (WAPU). The ZIGBEE devices are used to communicate each local device to a master IoT device which is placed in each area. This helps connect multiple devices to connect to a network and access the IoT module. The bin is accessed by the public and municipality by their RFID tags. There is an automatic locking system in case of the bin is full or is detected with poisonous gas. The bin can then be opened only by the municipality with their tag.
Web Based Ration Provisioning System in Public Distribution Shop
Authors: Sathya S. , V Karthikeyan , G Monish Kumar , Nigam Nishesh , Asel Nuradilova , Vijayan V.
Published: July 2023

The Government gives different offices to the general population that are underneath the destitution line, yet such offices don't reach to needy individuals because of debasement present in the chain. Among every one of the offices given by Government Of India, The proportion conveyance is most well known in the public arena. For the Ration Material Distribution System (RMDS), the legislature has given diverse sorts of cards to clients as indicated by their destitution lines. In such frameworks clients can purchase proportion materials, for example, Sugar, Rice, Oil, Kerosene, and so on from the apportion shop according to the rate chosen by the administration of India at one time physically. Whenever dispensed apportion isn't bought by the card holders at that point there is a plausibility of abuse of Ration Material by the businessperson. The business person can move the apportion material illicitly in the market with surprising expense and acquire benefit which leads towards defilement.
Smart Helmet for Drunk & Drive Detection and Alert System
Authors: Vanaja T. , Kothai S. , Ashmitha R. , Kumar Mishra Ajit , Nodirjon Jalilov
Published: July 2023

The rise in road accidents in our country is primarily due to the negligence of not wearing helmets, reckless driving, and drunk driving, which can result in serious head injuries or even death if prompt medical attention is not given. To ensure the safety of bikers, it is crucial to have a system that mandates helmet use. This project presents the development of a smart helmet module with sensors that detect alcohol consumption and helmet use. The module also includes a GSM module that sends out an accident alert along with the GPS module for location tracking and Blink sensor is used to check the sobriety of the driver.
Automatic Fire Extinguisher System with Safety Features for Vehicles
Authors: S Kiruthika , P Sakthi , K Manoj , R.N Vishwash , T Hari Durgesh I. , M Vijaykumar , N Parkunam
Published: July 2023

This project is aimed to prevent vehicles from fire explosions. In this project we used sensor, pipe valve, Fire extinguisher and Arduino. The sensor and pipe valve are placed in near the areas where there is a possible to catch on fire. The sensor and valve are connected to the Arduino and the valve is also connected to the fire extinguisher. Arduino is powered by separate battery. The working of the project is like whenever the fire is detected by the sensor, it transmits the signal to the Arduino and the Arduino transmit signal to the valve which is placed near to that fire. While doing this process, the Arduino unlock the central lock system of the vehicle and disconnect the battery to prevent the spreading of fire. For that we use separate battery for the Arduino. And also we use wi-fi module which send alert message to the fire station about the fire.
Intelligent Vehicle Black Box System Using IoT
Authors: P Sasi Rekha , A Aadhav , D Dasharath , S Karthikeyan , S Bharath Kumar
Published: July 2023

Humans are currently involved in numerous transportation-related accidents on the roads. Numerous accidents and fatalities caused by human error are the result of the rising number of vehicles on Indian roads and a lack of enforcement of traffic laws. They also suffer loss of life and valuable property as a result of those accidents. As a result, accidents involving driver inattention to traffic laws and driver fatigue follow. The field of computer vision is actively researching real-time eye detection and tracking. Face alignment can benefit from eye localization and tracking. The duration of eye closure and percentage of eye closure (PEC) can be used to measure driver fatigue. It is based on a hardware system that uses a camera to capture images of the driver in real time and software to monitor the driver's eye in order to prevent accidents. In the event of an accident, GSM and GPS are utilised to track the location of the automobile, and the local hospital and police are alerted. Thanks to IoT technology, this position may always be found in the cloud platform service. The 24/7 Governance is notified to call for emergency assistance by using the push and panic button.
THE COVID-19 Pandemic's Impact on Academic Practices and Learning Quality in Higher Education
Authors: Sonawane Prashant Ashok , Lourens Melanie , Varma Raj A. , Bhatia Vanshika , Chopra Ayushi
Published: July 2023

The inclusion of several new models and methods had been taken into consideration by the educational institutes and organisations to battle the negative impact of the COVID-19 pandemic across the educational paradigm. The study looked into the research questions and the research objectives which were based on the core topic of the study. With the help of the section of the literature review, the examination of the past research was looked into. The provision of the themes and concepts was done through the integration of data from secondary sources and the qualitative research method was implemented. The future scope of the study and the limitations of the respective assignment was also jotted down.
Customers' Attitude Towards Digital Advertising Communication
Authors: Ashok Sonawane Prashant , Dutta Bikram kr , Aggarwal Madhuri , Sharma Suprina , Jhajj Smiti
Published: July 2023

This article aims to investigate how consumers feel about digital marketing messages before making a purchase. 198 respondents to the research solely utilised conventional lines of communication and refrained from using digital channels while making purchases. The essay outlines the benefits of not communicating digitally. Additionally, the research uses cluster analysis to identify the client categories that use conventional communication methods.
Impact of Green Human Resource Management on Sustainable Performance
Authors: Aggarwal Madhuri , Dutta Mili , Madaan Vandana , Tam Pham Long , Lourens Melanie
Published: July 2023

The major purpose of Green Human Resource Management is to create a workforce that recognizes, values, and implements green ideas while upholding the company's green goal in the Human Resource Management practice of hiring, selecting, training, developing, rewarding, and promoting the human capital of the company. Two key elements of green HR are the protection of intellectual capital and eco-friendly Human Resource practices. Numerous academics have examined the value of green HRM in fostering an environmentally conscious mindset among employees, although this area of study is still in its infancy. Businesses now place a higher priority on environmental management and green management, and they have aligned their goals and tactics to reflect this. As a result of the realities of corporate globalization, the economy has changed from a traditional banking and economic structure to a more modern, capacity-based one. In other words, it takes both environmental economics and environmental management into account. Green human resource management, which has received a lot of attention in corporate organizations, may be used effectively to maintain green workplaces and green practices, which will help to green organizational culture. For businesses to achieve their environmental objectives, such as going green, green HRM is a crucial strategic tool. The results of this study indicate that practices like green hiring have an impact on the sustainable performance of both public and commercial healthcare organizations. Data were acquired using a quantitative research approach. 200 persons, including representatives of both public and private healthcare services, participated in the survey. Partial least squares-structural equation modelling was used to analyze the data. Hiring green candidates benefits the performance of the environment, the economy, and society as a whole. This research benefits organizations by assisting them in applying GHRM techniques that support organizations in every way. Additionally, this research will be helpful to policymakers because it will provide them a better understanding of how to promote GHRM practices and improve organizational sustainability.
Comparison of Dense Net and over Logistic Regression in Predicting Leukemia Classification with Improved Accuracy
Authors: Vamsi kumar Barinepalli , Isbella S. Stella Jenifer
Published: July 2023

This study compares the performance of densenet and support vector machines (SVMs) in the diagnosis of leukemia disease, with the aim of improving the accuracy of the classification results. Materials and Method The Kaggle website is where the dataset was found. The dataset consists of 20 samples per group in JPG files with a resolution of 96 dpi and 512×512 pixel size.The sample size is determined using a pretest power of 80%, a threshold of 0.05, and a confidence interval of 95%. Results: For leukemia, dense net is 96.5%, whereas logistic regression is 89%. The significance levels for Densenet and logistic regression are data with p=.000 (p<0.05) statistical significance difference respectively. Conclusion: Based on the findings, I believe that densenet performs superior to logistic regression.
Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine
Authors: Devisetty Gowtham , Kumar Neelam Sanjeev
Published: July 2023

This study compares the Accuracy of Support Vector Machine (SVM) Classifier and Decision Tree (DT) Classifier in predicting Innovative Bradycardia disease diagnosis. Materials and Methods: There are 7,500 records in the dataset that was used for this investigation. 40 records are utilized in the test to get a 95% confidence level in Accuracy and a 1% margin of error. There are 12 qualities or features per record. Using Decision Tree and SVM, Innovative Bradycardia disease is detected. Results: According to the statistical analysis, the Accuracy of the Decision Tree Classifier was 92.62%, P<0.05, and the Accuracy of the SVM was 87.5%, P<0.05. The p value was calculated as 0.001 (p<0.05, independent sample t-test indicating a statistically significant difference in the accuracy rates between the two algorithms (SVM and DT). Conclusion: In the Innovative Bradycardia prediction task, the Decision Tree Classifier (92.5%) exhibited a significant improvement over the SVM (87.5%), as demonstrated by the findings of the present study.
Serum Progranulin Levels and Disease Activity in Patients with Axial
Spondyloarthritis
Authors: Mercan Irem , Oktayoglu Pelin , Mete Nuriye , Caglayan Mehmet
Published: July 2023

Background Axial spondyloarthritides (ax-SpA) are a group of chronic
systemic diseases of unknown aetiology, affecting mostly young men, with common
features such as inflammatory low back pain, axial skeletal involvement,
sacroiliitis, and association with HLA-B27. Inflammatory cytokines, mainly
TNF-α, play a role in its aetiopathogenesis. Progranulin (PGRN) is
thought to be an anti-inflammatory molecule that acts through the TNF-α
pathway. In our study, we aimed to investigate the relationship between serum
PGRN levels and disease activity in patients with AS.

Material and Methods Forty-five patients between the ages of 18 and 65 who
were classified as having ax-SpA according to ASAS classification criteria were
included in our study. Forty-five individuals between the ages of 18 and 65 who
did not have pregnancy or lactation status, no acute or chronic infection and no
malignancy or rheumatic disease were included as the healthy control group. In
addition, BASDAI, BASFI, BASMI, ASDAS-CRP, ESR and CRP levels were recorded in
the patient group to determine the laboratory and clinical findings of patients
with ax-SpA.

Results Mean serum progranulin levels were higher in axial SpA patients
compared with the control group (5156.72±1274.34 vs.
4836.50±1422.10), but this result was not statistically significant
(p=0.275). Serum progranulin levels were negatively correlated with ESR
(p=0.031) but ASDAS-CRP (p=0.407) and BASDAI (p=0.297)
values were not correlated with the progranulin levels.

Conclusion Although we found a negative correlation between progranulin
and ESR, we did not find any association between progranulin and disease
activity in patients with axSpA. There is a need for new and larger studies to
be conducted with a higher number of participants in this patient group and to
measure serum PGRN levels as well as antibodies against PGRN.
Prognostic Value of hsa_circ_0007615 in Epithelial Ovarian Cancer and
its Regulatory Effect on Tumor Progression
Authors: Wei Wei , Wang Ning , Lin Lin
Published: July 2023

This study aimed to interrogate the functional and clinical significance of
hsa_circ_0007615 in epithelial ovarian cancer (EOC). GSE192410 was screened for
upregulated circRNAs in ovarian cancer. The expression levels of
hsa_circ_0007615 were evaluated in a patient cohort comprising 113 EOC tissues
and matched normal tissues. Subsequently, the prognostic value was confirmed by
the relevance of hsa_circ_0007615 with clinical parameters, Kaplan–Meier
analysis and Cox proportional risk model. Cell functional analyses were
performed in EOC cell lines using a cell proliferation kit, transwell and cell
death kit. Our data revealed that hsa_circ_0007615 was significantly upregulated
in EOC tissues and cell lines, compared with normal ones. Multivariate survival
analysis revealed that hsa_circ_0007615 emerged as an independent risk factor
for overall survival and recurrence of EOC patients. Knockdown of
hsa_circ_0007615 in EOC cells led to the blocking of cell proliferation,
migration and invasion, but an increase of cell death presenting as ferroptosis.
Tumor suppressive effects of hsa_circ_0007615 knockdown can be abolished by
miR-874-3p inhibition. TUBB3 was a targeting gene of miR-874-3p.
Hsa_circ_0007615 has the functional and clinical significance of EOC.
Mechanistically, hsa_circ_0007615 may contribute to EOC by sponging miR-874-3p
and moderating TUBB3.
Congenital Internal Jugular Phlebectasia: An Anomaly Still Poorly Recognized
Authors: Raffaele Alessandro , Gazzaneo Marta , Romano Piero , Prevedoni Gorone Maria Sole , Avolio Luigi
Published: July 2023

Congenital internal jugular phlebectasia (CIJP) is a rare condition characterized by congenital dilatation of the vein without tortuosity that becomes more evident during straining as a lateral neck mass. CIJP often remains undiagnosed from a few months to several years after the onset of the swelling. It is frequently asymptomatic although symptomatic cases have been occasionally reported. We present the case of a healthy 7-year-old boy with a lateral neck mass, triggered by the Valsalva maneuver. Neck ultrasound (US) showed right internal jugular axial ectasia, increasing during the Valsalva maneuver; contrast computed tomography (CT) scan confirmed a fusiform dilatation of the right internal jugular vein. Due to the lack of symptoms, we treated our patient conservatively. At 5 years of follow-up, the patient is still asymptomatic, with no evidence of complications or thrombosis. Due to its self-limiting nature, treatment for asymptomatic cases of CIJP should be conservative, providing a follow-up with both clinical and US annual evaluations.
Visible-Light-Driven Denitrogenative C–C Bond Formation and Oxidative Difunctionalization of Vinyl Azides
Authors: Majee Adinath , Sardar Santosh Sing , De Aramita , Pal Satyajit , Sarkar Subhankar , Santra Sougata , Zyryanov Grigory V.
Published: July 2023

A newer synthetic protocol has been developed to synthesize α-oxyalkyl ketones from vinyl azides under transition-metal-free reaction conditions. The reaction proceeds in the presence of organic photoredox catalyst rose bengal, an oxidant tert-butyl hydroperoxide (TBHP), and ethers. A broad range of substituted vinyl azides were found to react smoothly upon visible-light irradiation, which readily furnished the related products. Several control experiments have been done to suggest a probable mechanism. The process is initiated by radical addition to vinyl azide, which triggers a cascade fragmentation mechanism driven by the loss of dinitrogen and the stabilized ether radical ultimately produces the α-oxyalkyl ketones. This method provides a simple, mild, straight forward, novel paradigm to prepare α-oxyalkyl ketones.
Iron-Catalyzed Oxidative Decarboxylation of Oxamic Acids: A Safe and Efficient Photochemical Route to Urethanes
Authors: Landais Yannick , Kurtay Gülbin , Lusseau Jonathan , Robert Frédéric
Published: July 2023

This study presents a facile method for synthesizing urethanes through the photocatalyzed oxidative decarboxylation of oxamic acids. The process involves the formation of an isocyanate in situ from an oxamic acid under blue-light irradiation (427 nm) in the presence of ferrocene as a photocatalyst, 2-picolinic acid as a ligand, and potassium bromate as an oxidant. The one-pot procedure effectively avoids the need for separation, purification, and storage of carcinogenic isocyanates, making it a safer and more practical method for obtaining target urethanes from easily accessible starting materials.
Measuring the observer (Hawthorne) effect on adenoma detection rates
Authors: Taghiakbari Mahsa , Coman Diana Elena , Takla Mark , Barkun Alan , Bouin Mickael , Bouchard Simon , Deslandres Eric , Sidani Sacha , von Renteln Daniel
Published: July 2023

Background and study aims An independent observer can improve procedural quality. We evaluated the impact of the observer (Hawthorne effect) on important quality metrics during colonoscopies.

Patients and Methods In a single-center comparative study, consecutive patients undergoing routine screening or diagnostic colonoscopy were prospectively enrolled. In the index group, all procedural steps and quality metrics were observed and documented, and the procedure was video recorded by an independent research assistant. In the reference group, colonoscopies were performed without independent observation. Colonoscopy quality metrics such as polyp, adenoma, serrated lesions, and advanced adenoma detection rates (PDR, ADR, SLDR, AADR) were compared. The probabilities of increased quality metrics were evaluated through regression analyses weighted by the inversed probability of observation during the procedure.

Results We included 327 index individuals and 360 referents in
the final analyses. The index group had significantly higher PDRs (62.4% vs. 53.1%, P=0.02) and ADRs (39.4% vs. 28.3%, P=0.002)
compared with the reference group. The SLDR and AADR were not significantly increased. After
adjusting for potential confounders, the ADR and SLDR were 50% (relative risk [RR] 1.51; 95%,
CI 1.05–2.17) and more than twofold (RR 2.17; 95%, CI 1.05–4.47) more likely to be higher in
the index group than in the reference group.

Conclusions The presence of an independent observer documenting colonoscopy quality metrics and video recording the colonoscopy resulted in a significant increase in ADR and other quality metrics. The Hawthorne effect should be considered an alternative strategy to advanced devices to improve colonoscopy quality in practice.
Full-thickness resection device for management of lesions involving the appendiceal orifice: Systematic review and meta-analysis
Authors: Obri Mark , Ichkhanian Yervant , Brown Patrick , Almajed Mohamed Ramzi , Nimri Faisal , Taha Ashraf , Agha Yasmine , Jesse Michelle , Singla Sumit , Piraka Cyrus , Zuchelli Tobias E.
Published: July 2023

Background and study aims Endoscopic resection of lesions involving the appendiceal orifice is technically challenging and is commonly referred for surgical resection. However, post-resection appendicitis is a concern. Many studies have varying rates of post-procedure appendicitis. We aim to report the rate of post-resection appendicitis by performing a systematic review and meta-analysis.

Methods Studies that involved the use of a full-thickness resection device (FTRD) for management of appendiceal polyps were included. The primary outcome was appendicitis after FTRD and a subgroup analysis was performed on studies that only included FTRD performed at the appendiceal orifice.

Results Appendicitis was encountered in 15% (95%CI: [11–21]) of the patients with 61% (95% CI: [44–76]) requiring surgical management. Pooled rates of technical success, histologic FTR, and histologic R0 resection in this sub-group (n=123) were 92% (95% CI: [85–96]), 98% (95% CI: [93–100]), and 72% (95% CI: [64–84%]), respectively. Post-resection histopathological evaluation revealed a mean resected specimen size of 16.8 ± 5.4 mm, with non-neoplastic pathology in 9 (7%), adenomas in 103 (84%), adenomas + high-grade dysplasia (HGD) in nine (7%), and adenocarcinoma in two (2%). The pooled rate for non-appendicitis-related surgical management (technical failure and/or high-risk lesions) was 11 % (CI: 7–17).

Conclusions FTRD appears to be an effective method for managing appendiceal lesions. However, appendicitis post-resection occurs in a non-trivial number of patients and the R0 resection rate in appendiceal lesions is only 72%. Therefore, caution should be employed in the use of this technique, considering the relative risks of surgical intervention in each patient.
Comparison of guidewires for successful cannulation of biliary stenosis and targeting of biliary branches in ERCP
Authors: Kobayashi Masanori , Katsuda Hiromune , Ohtsuka Kazuo , Okamoto Ryuichi
Published: July 2023

Background and study aims Guidewires play a crucial role in endoscopic retrograde cholangiopancreatography. The ability to pass through stenosis, and the ability to seek the desired biliary branch are particularly important. In this study, we aimed to compare these specific abilities in various guidewires by using a bile duct model.

Patients and methods Seven 0.025-inch angle-type guidewires
(VisiGlide2, Fielder 25, EndoSelector, NaviPro, Jagwire Plus, RevoWave DualMaster, and J-WIRE
prologue ST) were evaluated. To compare these, a bile duct silicone model was prepared. The
time from the entry of the guidewire into the common bile duct with the stenosis to the
emergence of the guidewire from the common bile duct after reaching two target intrahepatic
bile duct branches was measured.

Results VisiGlide 2 and Fielder 25 were the fastest guidewires, whereas Jagwire Plus was the slowest.

Conclusions In this study, a guidewire with a tip deflection height of approximately 9 mm and a hydrophilic coating length of 7 to 8 cm achieved the fastest completion time for the course. In clinical practice, it is important to consider the performance required in various scenarios and to select the most appropriate guidewire. The results of this model test, which focused on the time required to complete the course around the model, can serve as a foundation for guidewire selection. This method holds potential utility in future guidewire development.