Volume 12 | Issue 5 |

 Abstract

This study explores the onboarding process at Maveric Systems Limited, assessing its effectiveness, reliability, and the overall impact on new hires' integration into the company culture. Utilizing a Descriptive Research design and Convenience sampling, the research involved a survey of 280 employees who recently completed the onboarding process. The quantitative analysis applied non-parametric tests due to the non-normal distribution of data, focusing on areas like Work Environment Balance, Onboarding Process Reliability, Post-Onboarding Support, and Information Adequacy. Results revealed demographic differences in satisfaction levels, with actionable recommendations for enhancing the onboarding process tailored to diverse employee needs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Onboarding process, HR, HR research, Employee perception

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

rp-hplc, canagliflozin, api, pharmaceutical formulation, ICH

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Water is a ubiquitous solvent used by nearly all living things to complete their biological activities. Algae, which are frequently seen in lakes, are among the many microorganisms that may thrive on the nutrients contained in fresh water. Nitrates and phosphorus are the two main types of nutrients that algae need. The foundation of the food chain in the aquatic ecosystem is algae. They contribute significantly to water contamination in a variety of other ways as well. The nutrients that algae need to develop may be selectively stimulated by pollution, which can lead to an algal bloom and a subsequent decline in water quality. Very few workers in Bihar have given limnological aspects any thought. In the current inquiry, Kawar Lake in the Begusarai area was chosen to conduct a limnological examination of algae. Samples of water and algae were taken from three locations in S. Kawar Lake every month. The goal of the current study was to determine how the physico-chemical characteristics of Kawar Lake in the Begusarai region of Bihar relate to the algal populations there.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Microbiology, Physico-chemical parameters, Algae, Kawar lake.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The creation and application of a cutting-edge, specially made jacket with advanced health monitoring technology for people who are blind or visually impaired. Utilizing wearable sensors and IoT (Internet of Things) capabilities, the "Blind Man Jacket" offers real-time health monitoring to guarantee the user's safety and wellbeing. The system has sensors to monitor vital indicators, which are essential for early detection of possible health problems. These signs include blood pressure, body temperature, and heart rate. The jacket also has environmental sensors and GPS to help with navigation and warn the wearer of any hazards and barriers in their immediate area. In the event of an emergency, information gathered from the sensors is sent to a mobile application that is connected and can alert caretakers or medical personnel. The technical architecture, sensor integration, data processing techniques, and user interface design are all covered in detail in this article. We also go over the possible advantages and difficulties of implementing such a system, as well as upcoming developments and scalability issues. Through clever wearable technology, The Blind Man Jacket seeks to improve the health security and independence of those who are blind or visually impaired.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ultrasonic sensor, PIC microcontroller, navigation, and echolocation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the increasing prevalence of social media platforms as communication channels, the risk of malicious activities carried out by social bots has become a significant concern. This survey paper provides a comprehensive overview of the state-of-the-art techniques and methodologies employed in the detection of malicious social bots using machine learning (ML) approaches. exploring the landscape of social bots and their diverse functionalities, emphasizing the need for effective detection mechanisms to mitigate potential threats. Subsequently, a detailed analysis of existing literature is presented, categorizing ML-based approaches into different methodologies such as supervised learning, unsupervised learning, and hybrid models. various ML algorithms employed in social bot detection, including traditional classifiers, deep learning models, and ensemble methods. It evaluates the strengths and limitations of these algorithms in the context of social bot detection, considering factors such as accuracy, scalability, and interpretability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Malicious social bots, Machine learning , Learning Automata.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an approach which enables seamless conversion of Natural language Query input queries into SQL Query efficiently for WooCommerce users. Common business owners who are the prime users of WooCommerce are usually not technically sound to query with their database in SQL. Therefore, we have introduced our system "Text-to-SQL report generation for WooCommerce" bridging the gap between non-technical users and Database interaction. Our system also provides bilingual support as an additional functionality for the WooCommerce users which is not provided in the existing systems. This system enables users to Input queries in both English and Hindi through text or voice. The system then generates the output in the Tabular data and Visual Graph formats facilitating better analysis and decision-making. By eliminating the need of SQL expertise, WooCommerce users can simply use our system which offers a user-friendly database interaction with bilingual support. This undertaken project represents a significant advancement towards empowering WooCommerce users to Interact with their Database effectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SQL,NATURAL LANGUAGE PROCESSING, NATURAL LANGUAGE QUERY, WOOCOMMERCE,BILINGUAL

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fire and smoke recognition is critical for guaranteeing early detection and reaction to possible fire events, hence avoiding disastrous outcomes. In this article, we provide a unique method for recognizing fire and smoke that employs picture classification techniques and deep learning models. The suggested method uses convolutional neural networks (CNNs) to automatically extract discriminative characteristics from fire and smoke photos, allowing for accurate classification. We first preprocess the incoming photos to improve essential attributes and eliminate noise. We then train a CNN architecture, such as ResNet or VGG, on a huge dataset of annotated fire and smoke photos to learn representative features. Transfer learning techniques can be used to fine-tune pre-trained models for the specific job of recognizing fire and smoke. We assess the performance of our strategy on benchmark datasets and compare it to other methods. The experimental results show that the suggested method is effective and efficient at precisely recognizing fire and smoke instances in photos. Furthermore, we investigate the possible uses of fire and smoke identification systems in real-world scenarios such as fire detection in surveillance cameras, environmental monitoring, and firefighter support. Overall, this research adds to developing the field of fire and smoke recognition using cuttingedge picture classification and deep learning approaches.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smoke detection and detection of fires Picture categorization, Machine learning, layered neural networks, Data mining, early warning systems, monitoring Environmental surveillance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Catharanthus Roseus is an important medicinal plant of the Apocynacae Family. Catharanthus Roseus plant leaves are used for medicinal purpose such as dibities and cancer treatment. Aim of the present study is to investigate the photochemical screening and antibacterial activity of ethanol and methanol extract at 500 C of Catharanthus Roseus. The Agar well diffusion method employed to analyze the antibacterial property qualitative screening of phytochemical reveals the presence of alkaloids, terpenoids, glyceroids, favonoids etc

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keyword: Catharanthus roseus, Phytochemical Screening, Antibacterial activity, E.coli. S. aureus.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

"Live Animal detection for wildlife safety and conservation" is a tool which is best and convenient for wildlife safety it detects the unknown person going inside the forest and animals coming out of forest it is very convenient tool for detecting animals ,the purpose behind this tool is to save wild animals and endangered animals from getting killed by poachers and peoples living beside the forests they usually go inside the forest for hunting animals and cutting the tress. The animal detection system alerts the forest officers about the movement going inside the forest.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

animal detection,animal safety,human safety

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nanotechnology is a silent sentinel, monitoring the intricate dance of agricultural processes at an unimaginably small scale. It acts as a guardian angel, bestowing upon us a myriad of benefits: enriching the quality and safety of our food, liberating us from the shackles of traditional farming practices, and fortifying the soil with minuscule but mighty nutrients. Its effects ripple through the fabric of agriculture, touching everything from the food on our plates to the very foundations of our natural resources. In the face of challenges such as sustainability, food security, and environmental stability, nanotechnology emerges as a beacon of hope. It strives to minimize the use of harsh chemicals, curtail nutrient loss during fertilization, and boost crop yields by outmanoeuvring pests and optimizing nutrient uptake. Nanotechnology stands poised to transform agriculture and the food industry, offering innovative solutions for disease management and nutrient enhancement. Among its many marvels are nano-fertilizers and nano-pesticides, revolutionizing productivity without leaving a trail of environmental destruction. These small yet powerful tools provide a shield against pests and microbial foes while nourishing the yields deprived of contaminating the soil and water sources. Moreover, nanotechnology could act as a custodian, safeguarding soil health by assessing its very essence. As researchers delve deeper into the realms of nanotechnology, they are unravelling the secrets of sustainable agriculture. This review sheds light on their quest to tackle the pressing issues of our time--sustainability, food security, and environmental resilience--through the lens of nanotechnology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nanotechnology, outmanoeuvring, innovative, revolutionizing, custodian

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Creative Commons Attribution 4.0 and The Open Definition