Volume 12 | Issue 4

 Abstract

The current study aimed to analyze the significant difference between mean scores of resilience,emotional intelligence, and life satisfaction between psychology students and non-psychology students. To test the hypotheses, data was collected using self-reported measures of Emotional Intelligence,Satisfaction with the Life Scale, and Resilience Questionnaire from a sample of 200 undergraduate students. The t tests compared the difference in the mean scores between the two groups of psychology and non-psychology students for each section of the assessment. The results highlight that there are no significant difference between the scores of psychology and non-psychology students for variables life satisfaction,emotional intelligence and Resilience.The significant difference of mean scores were shown for dimension of emotional intelligence which is managing other people's emotions.To conclude from previous literature,Psychology students mental health is not taken seriously leading to internalizing a number of disorders and Compassion Fatigue that lowers the level of satisfaction and Resilience and New education policies in India has introduced a number of workshops and mental health initiatives in colleges that can assist non psychology students to help them build emotional intelligence,resilience and Life Satisfaction.

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Psychology, Emotional Intelligence,Life satisfaction, Resilience,Undergraduate students

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Sleep is body's response to maintain equilibrium in the body. Good quality sleep influences our cognitions, mental abilities and decision making abilities. The study aimed to understand the impact of quality of sleep on Life Satisfaction and Work Motivation. The data was collected on 120 participants in New Delhi and NCR. The data was collected on individuals who were presently working in an organisation. To analyse the data, three scales, Sleep Quality Scale, Work Motivation Scale and Life Satisfaction scale was used. The data was analysed at both descriptive and inferential levels. Pearson correlation and simple linear regression was used to analyse the data. Data presented that there was significant positive correlation between two variables. There was positive correlation between Quality of sleep and Work Motivation. Hence, it can be concluded that sleep has influence our Quality of life and Motivation. Further research is needed to explore mechanisms for good quality sleep.

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Sleep Quality, Work Motivation, Life Satisfaction; Young adults, correlational study

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Background: Dismissal of Village Officials causes quite a few problems, because the village head makes unilateral dismissal decisions and ignores various statutory provisions. Research Objectives: The aim of this research is to examine and analyze the legality of the village head's actions in dismissing village officials, and the legal consequences of the village head's actions in dismissing Village Officials who do not have legality. Research Method: The research method in this writing is normative legal research. The approaches used in this research are the statutory regulatory approach, conceptual approach, and case approach. The sources of legal materials used are primary legal materials, secondary legal materials and tertiary legal materials. Techniques for collecting legal materials through literature study and analysis of legal materials are qualitative. Research Results: The act of dismissing village officials is within the authority of the village head, however, when the village head is going to dismiss village officials, the village head is obliged to consult with the sub-district head, the sub-district head will carry out a review to provide recommendations to the village head to dismiss or not dismiss village officials. Without consulting with the sub-district head as stipulated in the provisions of the statutory regulations, the village head's action in dismissing village officials has no legality, because it does not comply with the procedures and substance stipulated in the provisions of the statutory regulations. The legal consequences of the village head's action in dismissing village officials that do not have legality are void, so they are not binding from the time the decision in question is made, and do not require cancellation from the official who issued or the superior of the official who issued the decision in question, or a court decision to cancel the decision in question. However, the decision in question is void from the moment it is made and does not have binding legal force.

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Legality, Dismissal, Village Apparatus, Village Head

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This research paper delves into the intricate world of body butter, focusing on a formulation enriched with calendula extract, jojoba oil, shea butter, and avocado oil. The paper meticulously examines each ingredient's chemical composition, individual skincare benefits, and the collective efficacy of their synergistic blend. Furthermore, it scrutinizes the manufacturing process, application techniques, and evaluation methods employed to assess the body butter's performance. Through this comprehensive analysis, a profound understanding of natural body butter production and its efficacy is achieved.

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body butter, herbal body butter , moisturizer ,

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Abstract---- Ensemble literacy system is a cooperative decision- making medium that implements to total the prognostications of learned classifiers in order to produce new cases. Beforehand analysis has shown that the ensemble classifiers are more dependable than any single part classifier, both empirically and logically. While several ensemble styles are presented, it's still not an easy task to find an applicable configuration for a particular dataset. It becomes a grueling problem to identify the dynamic nature of crimes. Crime vaticination is an attempt to reduce crime rate and discourage felonious conditioning. This work proposes an effective authentic system called assemble- mounding grounded crime vaticination system( SBCPM) grounded on algorithms for relating the applicable prognostications of crime by enforcing literacy- grounded styles applied to achieve sphere-specific configurations compared with another machine literacy model. The result implies that a model of a pantomime doesn't generally work well. In certain cases, the ensemble model outperforms the others with the loftiest measure of correlation, which has the smallest average and absolute crimes. The proposed system achieved bracket delicacy on the testing data. The model is set up to produce further prophetic effect than the former inquiries taken as nascences, fastening solely on crime dataset grounded on violence. The results also proved that any empirical data on crime, is compatible with criminological propositions. The proposed approach also set up to be useful for prognosticating possible crime prognostications. And suggest that the vaticination delicacy of the ensemble model is advanced than that of the individual classifier

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Keywords-- Decision tree, Random Forest, Logistic Retrogression and Machine literacy ways.

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Many scholars today are deeply interested in the concept of statistical convergence, primarily because it is stronger than regular convergence. A key concept in the convergence of positive linear operator sequences is the Korovkin-type approximation theorem. Additionally, this class of approximation theorems has been expanded to general sequence spaces using other statistical summability techniques. In this proposed research, we have proved a fuzzy Korovkin-type approximation theorem by introducing a new statistical Euler product summability mean for sequences of fuzzy integers. Additionally, under our suggested summability mean, we have proved another conclusion for the fuzzy rate of convergence, which is uniform in fuzzy Korovkin-type approximation theorem.

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Sequences of fuzzy numbers; Euler summability method; Korovkin's theory; Statistical convergence

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clients are the most vital belongings in any enterprise considering the fact that they're considered as the principle profit supply. organizations are operating difficult to live to tell the tale in nowadays's competitive marketplace relying on a couple of techniques. 3 fundamental strategies have been proposed to generate more sales: (1) acquiring new customers, (2) upselling the present customers, and (3) increasing the retention period of customers. however, assessment of these techniques has proven that keeping an current purchaser fees a good deal decrease than obtaining a brand new one, further to being taken into consideration a good deal less difficult than the upselling method. to use the 1/3 approach, groups must decrease the capacity of customer's churn. customer churn is a time period that refers back to the lack of a purchaser or consumer--that is, when a purchaser ceases to have interaction with a enterprise or commercial enterprise. further, the churn price is the rate at which clients or customers are leaving a enterprise inside a particular period of time. consumer churn is one of the maximum crucial worries for massive agencies. due to the direct impact on the revenues of the organizations, mainly within the telecom area, companies are in search of to expand approach to are expecting ability customers that would churn. therefore, locating elements that growth purchaser churn is important to take important actions to reduce this churn.

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Regression, Decision Trees, K-Nearest Neighbors and Support Vector Machine algorithms

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In an era marked by the rapid advancement of technology, traditional computer systems with limited functionalities have evolved into highly sophisticated platforms capable of executing diverse tasks, thanks to innovations such as machine learning, artificial intelligence, and deep learning. However, despite these advancements, if users still encounter challenges in interfacing with computers using conventional input devices, the utility of such progress is called into question. To address this gap, we have developed a voice assistant application using Python. This application boasts a range of functionalities, including the ability to initiate commands such as launching software applications like Word and Excel, web application, sending mail , WhatsApp messages and offering real-time information such as current dates, times, and CPU performance metrics.

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Voice Assistant, Speech Recognition, Neural Network, Human-Computer Interaction, Voice Recognition.

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The advent of Over-The-Top (OTT) platforms has transformed the landscape of entertainment consumption, offering viewers unprecedented access to a myriad of content. Within this digital realm, Indian web series have gained substantial popularity, exploring diverse themes and narratives. This research delves into the psychological implications of content in Indian shows available on major OTT platforms which are extremely popular among all age groups including adolescents, with a specific focus on themes of violence, sexual content, tobacco depiction, drug abuse, and foul language. The main characters which become the role models for the youth consuming these shows influence the young minds in a very negative way. Through a meticulous content analysis, ten web series from each of the prominent OTT platforms, namely Netflix, Disney+ Hotstar, and Prime Video, were selected for examination. Drawing from established literature, the paper discusses the potential ramifications of exposure to violence, sexual content, tobacco depiction, drug abuse, and foul language on viewers, particularly adolescents and children, who are in their formative years and are highly susceptible to observational learning. The findings of this research offer valuable insights into the psychological dynamics of media consumption, emphasizing the importance of critical engagement and media literacy among viewers.

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Indian Web Series, Psychological Impact, Adolescents, Entertainment consumption

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Conservation, Dispersion pattern, Eastern Ghats, Population structure and Seshachalam Biosphere Reserve.

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Bridge construction today has achieved a worldwide level of importance. Extension development today has accomplished an overall dimension of significance. Extensions are the key components in any street system and utilization of strengthened support type spans picking up notoriety in scaffold building organization in light of its better security, functionality, economy, stylish appearance and auxiliary effectiveness. By and large for long range Box brace spans are progressively basic proficient. Box support opposes the torsional unbending nature and appropriate for critical bend. For this investigation, four distinctive scaffold supports are viewed as specifically Rectangular Single and Double cell Box Girder (RSBG and RDBG), Trapezoidal Single and Double cell Box Girder (TSBG and TDBG) of ranges 20 m, 30 m, 40m and 50m. Direct Static and Modal Analysis are performed on all the considered extension supports utilizing Staad Pro connect wizard. IRC Class AA Tracked Loading framework is considered for the examination. A near give an account of dynamic Characteristics of all the considered extension braces utilizing Staad Pro.

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Stiffness, modal analysis, Linear Static analysis, loading system, Dynamic Characteristics.

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This research paper investigates the consumer perception towards e-banking in kumaun region of Uttarakhand. E-banking, also known as electronic banking refers to the use of digital platforms and technologies by banks to provide financial services to their customers. The objective of this study is to analyze the attitudes, preferences, and satisfaction levels of consumers in kumaun region towards e-banking services offered by various banks. The research employs a quantitative approach, utilizing a structured questionnaire to collect data from a sample of bank customers in the district. The questionnaire includes items related to the awareness and usage of e-banking services, perceived benefits, and risks, ease of use, security concerns, and overall satisfaction. The collected data will be analyzed using statistical techniques to identify patterns and trends in consumer perception towards e-banking. The findings of this study will contribute to a better understanding of consumer behavior in the context of e-banking and provide insights for banks and policymakers to improve their e-banking services.

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e-banking, consumer perception, kumaun region, Uttarakhand, attitudes, preferences, satisfaction, awareness, usage, benefits, risks, ease of use, security concerns, consumer behavior, digital banking.

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The aim of the current study is to formulate herbal tablets containing Butea Monosperma flower powder by direct compression method by using suitable excipients. Butea Monosperma flower contain anti-diarrheal, anthelmintic, anti-diabetic, anti-stress, hepatoprotective, antifungal, astringent, laxative and stomach pain relieving activity, etc activities. These flowers of Butea Monosperma are dried for 3-4 day under sun light and size is reduced by using mixer grinder and converted to coarse powder and passed through sieve no. #100, #80, #60, #44. This collected powder and various excipient are used for preparing tablets. These prepared tablets were evaluated by using different evaluation tests like hardness, thickness, friability, weight variation. The powder was free from all kind of microorganisms and antimicrobial activity performed showed that flowers of plant Butea Monosperma did not show antimicrobial activity against gram positive organism staphylococcus aureus and bacillus subtills and E coli.

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Butea Monosperma, Palash, Abdominal pain, Staphylococcus Aureus, Digestive issue.

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Delving into the captivating realm of Gothic literature, this abstract explores the dark and mysterious allure of a genre that has captivated readers for centuries. The hauntingly beautiful world of Gothic fiction is characterized by its atmospheric settings, supernatural elements, and exploration of the human psyche. As we traverse through the shadows of castles, catacombs, and ancient manors, we uncover themes of isolation, fear, and the struggle between good and evil. The Haunting Melodies of the Graveyard's Whispers in the realm of Gothic fiction, the graveyard serves as a symbolic backdrop, evoking a sense of eeriness, melancholy, and the inevitable march of time. This dark literary genre delves into the complexities of human emotions, often exploring themes of death, guilt, and the supernatural. The use of graveyards in Gothic narratives amplifies these themes, as the setting embodies the transient nature of life and and the inescapable reality of mortality. Through the exploration of the graveyard's haunting melodies, Gothic fiction illuminates the psychological impact of confronting one's own morality and the mysteries that lie beyond the veil of death. The abstract aims to shed light on the enduring influence of Gothic fiction, its profound impact on both literature and popular culture, and the timeless appeal it holds for generations of readers.

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Delving into the captivating realm of Gothic literature

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Brain signal- grounded emotion discovery holds significant pledge in revolutionizing. the opinion and operation of colorful medical conditions .(Greene et al., 2016) Traditional styles of emotion identification, similar as facial expressions, may encounter challenges with limited triggers, emotional disguises, or conditions like alexithymia.(Haak et al., 2009) This study explores the eventuality of exercising electroencephalogram( EEG) data to crack emotional countries by assaying constant brainwaves, furnishing perceptivity into feelings that individualities might struggle to articulate verbally.(Baceviciute et al., 2022) The exploration focuses on assaying time data from EEG detector channels and conducting relative assessments of colorful machine literacy ways. The study evaluates machine literacy algorithms, including Support Vector Machine( SVM), K- nearest Neighbor, Linear Discriminant Analysis, Logistic Regression, and Decision Trees. Both with and without top element analysis( PCA) for dimensionality reduction, these ways are tested.(Hagemann & Naumann, 2001) To optimize the models, grid hunt and hyperactive- parameter tuning are enforced, using a Spark cluster to reduce prosecution time. The DEAP Dataset, a multimodal dataset designed for probing mortal affective countries, is employed for this disquisition.(Nunez et al., 2016) Using party- assigned markers for 40 1- nanosecond musical extracts, prognostications are generated grounded on emotional attributes similar as thrill, valence, likability, dominance, and familiarity.(Porbadnigk et al., 2011) The study focuses on training double class classifiers for each of the four emotional classes using time- segmented, 15-alternate intervals of time data. specially, the segmentation performance is maximized using PCA in confluence with SVM, achieving an F1- score of84.73 and a recall rate of98.01 in the 30th to 45th segmentation interval.

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 Keywords

Emotional model , EEG, Signal, Face recognition , Feature extraction,

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Commodity Analyzer is a mobile application that helps the farmers and traders by providing real-time market prices, predictive analytics, direct communication with buyers, and access to agricultural news. This App includes various features that allow users to make informed decisions, optimize selling techniques, and remain updated on market trends. By providing accurate pricing information and allowing for direct contacts with buyers, the app decreases reliance on intermediaries, lowers the danger of price exploitation, and broadens market access. The implementation of predictive analytics allows farmers and traders to anticipate market volatility and adjust their strategy accordingly, reducing risks and increasing profits. Furthermore, access to agricultural news keeps clients up to date on the most recent advances in farming methods, weather forecasts, and modifications to regulations, allowing them to adjust to fluctuating conditions and maximize productivity. Overall, the mobile app is a transformative tool that uses technology to empower farmers and local traders, earn economic growth, and promote agricultural sustainability.

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Farmers, Agriculture, Traders, Mobile app

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Under the overall structure of the creative industries, this paper examines the state of the art in artificial intelligence (AI) technologies along with its applications. An overview of artificial intelligence (AI), with a focus on machine learning (ML) algorithms used to generate images. The creative processes in the visual arts are significantly impacted by this quickly developing field of artificial intelligence (AI) and image creation technologies. The increasing number of artistic applications and research projects at the nexus of AI and art AI is utilized to create new works of art and for creative reasons.

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Artificial intelligence, Machine Learning, Stable Diffusion

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This work deals with the implementation of Simple Algorithm for detection of range and shape of tumor in brain MR images and identifies stage of tumor from the given area of tumor. Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and they have different Characteristics and different treatment. As it is known, brain tumor is inherently serious and life- threatening because of its character in the limited space of the intracranial cavity (space formed inside the skull). Most Research in developed countries show that the number of people who have brain tumors were died due to the fact of inaccurate detection. Generally, CT scan or MRI that is directed into intracranial cavity produces a complete image of brain.After researching a lot statistical analysis which is based on those people whose are affected in brain tumor some general Risk factors and Symptoms have been discovered. The development of technology in science day night tries to develop new methods of treatment. This image is visually examined by the physician for detection & diagnosis of brain tumor. However this method accurate determines the accurate of stage & size of tumor and identifies stage of tumor from the area of tumor. This work uses segmentation of brain tumor based on the k-means algorithms.This method allows the segmentation of tumor tissue with accuracy and reproducibility comparable to manual segmentation. In addition, it also reduces the time for analysis and identifies stage of tumor from the given area of tumor. Finally implement a system using java to identify stage of tumor which is easier, cost reducible and time savable.

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MRI Image,Stages of tumor,Area of tumor,Tumor on control growth,Different treatment,Diagnosis of brain tumor

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This floor cleaning robot, also known as a clean sweep robot, is equipped with a rotating cotton rope mop attached to a motorized mechanism. It autonomously navigates within walls, avoiding obstacles using IR sensors. It has three DC motors for movement and one for water sprinkling. A mini water tanker with a high-pressure pump sprays water intermittently. Control is managed by an 89c52 microcontroller. The system requires a high-power rechargeable battery.

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Floor cleaning robot, Autonomous navigation, Revolving cotton rope mop, IR sensors, High pressure water pumping motor.

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In recent times, humans are easily infected with antibiotic resistance waterborne pathogens So, in this context there should be analternative method to control these pathogens so that is negligible or no harm water as well as to creatures dependent on these water bodies. Therefore, an easy cleaning can be applied by using an economic biological agent called phages which attack only bacteria kill them even if they are resistantto chemicals and do not cause any harm to humans or normal flora and funa or chemical nature ofwater for domestic use. In our work also disease resistance strains of Enterobacter and Klebsiella were susceptible to phage cocktail from Ganga Water which can be use it in future can be use in large scale to eliminate pathogens.

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Antibiotics Phage Plaques Pond water

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