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Predicting Employee Attrition Using Machine Learning Algorithms
Employees are considered the foundation of any organization. Due to their importance, the Human resources department implements various policies to sustain them. Yet the attrition rate in any organization is increasing yearly. The attrition rate signifies the number of employees who leaves a firm without being replaced. It is regarded as a well-known issue that requires the administration to make the best choices to retain highly competent staff. It is interesting to note that artificial intelligence is frequently used as a successful technique for foreseeing such an issue. This review paper aims to study the different machine learning approaches that predict employee attrition and factors influencing an employee to attrite from an organization. A Hybrid model comprising the various ensemble models is proposed to predict attrition at its earliest. The forecasted attrition model aids in not only taking preventive action but also in improving recruiting choices and rewarding top performers who contribute to the company's success. 2022 IEEE. -
Adapting Employee Engagement Strategies Amid Crisis: Insights from the COVID-19 Pandemic
Crises are unpredictable events that have the potential to strike at any moment, causing significant disruptions to work, daily routines, and the normal course of life. The COVID-19 Pandemic served as a facilitator for transformative changes in the way we work, shifting to an era of remote and flexible work arrangements across industries. This crisis underlined the importance of employee engagement and organizational culture-building in navigating unforeseen situations. As organizations prepare for the future, it becomes crucial to anticipate and adapt to potential crises that may arise. The effect of the pandemic varied from industry to industry. When the technology industry worked towards creating a virtual workspace, the production industry strived to continue production without disruption. However, irrespective of the industry, HR teams across the board were dedicated to identifying and addressing the challenges posed by the crisis. They have worked tirelessly to ensure employee engagement remains a priority. This qualitative study explores the challenges encountered by HR teams during the pandemic and explores the strategies and policies they adopted to foster employee engagement. The data was collected through an in-depth interview with 39 HR Practitioners from different industries. The significant challenges included the need to cultivate a sense of community, navigate muddled up HR processes, sustain productivity amid disruptions, and prioritize employee wellness. To provide a comprehensive analysis, this study examined industry-specific approaches, employing within-case analysis to understand key strategies in communication, rewards and recognition, employee benefits, wellness initiatives, and fostering an enjoyable virtual workplace. This study offers a forward-looking perspective and serves as a guide for organizations aiming to thrive in times of uncertainty, ensuring that employee engagement remains a strategic priority regardless of the crisis at hand. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
A Comprehensive Review on the Electrochemical Sensing of Flavonoids
Flavonoids are bioactive polyphenolic compounds, widespread in the plant kingdom. Flavonoids possess broad-spectrum pharmacological effects due to their antioxidant, anti-tumor, anti-neoplastic, anti-mutagenic, anti-microbial, anti-inflammatory, anti-allergic, immunomodulatory, and vasodilatory properties. Care must be taken, since excessive consumption of flavonoids may have adverse effects. Therefore, proper identification, quantification and quality evaluations of flavonoids in edible samples are necessary. Electroanalytical approaches have gained much interest for the analysis of redox behavior and quantification of different flavonoids. Compared to various conventional methods, electrochemical techniques for the analysis of flavonoids offer advantages of high sensitivity, selectivity, low cost, simplicity, biocompatibility, easy on-site evaluation, high accuracy, reproducibility, wide linearity of detection, and low detection limits. This review article focuses on the developments in electrochemical sensing of different flavonoids with emphasis on electrode modification strategies to boost the electrocatalytic activity and analytical efficiency. 2022 Taylor & Francis Group, LLC. -
60Co gamma irradiation and annealing effects on transport properties of antimony telluride platelets grown by physical vapor deposition
Physical vapor deposition method was employed to deposit antimony telluride (Sb2Te3) crystals in a dual-zone furnace. The microstructure, surface topography and composition of samples were characterized using X-ray diffraction, atomic force and scanning electron microscopy. Seebeck coefficient (S?c), electrical conductivity (??c) as well as power factor (PF) were enhanced for pure Sb2Te3 samples upon annealing, and the samples annealed at 473 K exhibited the highest PF of 3.16 10-3 W m-1K-2 with an enhancement of 22% in the figure of merit (Z). When the delivered dose of 60Co gamma radiation was increased from 0 to 30 kGy in the stoichiometric crystals, ??c decreased due to the decrease in mobility. As a result of the increase in S, PF and Z improved by 12.11 and 13.7%, respectively, in the 30 kGy gamma-irradiated crystals. Both RH (B?c) and S?c were positive, suggesting that the prepared Sb2Te3 crystals retained the p-type semiconductivity after these treatments. The Chinese Society for Metals and Springer-Verlag 2015. -
Synthesis and Characterixation of Fluorinated Superconducting Y3Ba5Cu8Oy Compound
International Journal of Engineering Research and Applications, Vol-3 (1), pp. 927-930. ISSN-2248-9622 -
A Study on the Effect of Food Advertisements on Children and their influence on Parents Buying Decision
International Journal of Research in Commerce and Management Vol. 3, No. 7, pp 92-104, ISSN No. 0976-2183 -
Antecedents and Outcomes of Employee Engagement : A Study on Employees in Travel Organizations
Employee engagement is becoming very vital in the recent years because organizations with engaged employees tend to out-perform than employees who are disengaged. The outcomes of engaged employees are higher performance, lower turnover, increased profitability and many more. However there are some industries ignorant and neglect the importance of having engaged employees. Hence it is necessary to conduct more research on employee engagement which create more awareness to the organizations about the prominence of focusing on employee engagement and also augment to the existing literature. The study was conducted on a sample size of 433 employees working in travel organizations set up in Bengaluru and tested the relationship of psychological climate and psychological capital (antecedent variables) has on employee engagement and in turn its newlinerelationship with organizational citizenship behavior and intent to stay (outcome newlinevariables). The study also tested the mediating relationship of employee engagement newlinebetween the antecedent and outcome variables. Results indicated that psychological newlineclimate and psychological capital has a significant and positive relationship on employee engagement and with respect to outcome variables it was determined that higher the engagement level it leads to higher level of organizational citizenship behavior and intent to stay. Results of the study also indicated that employee engagement mediates the relationship between the antecedent and outcome variables. -
A Study on the Role of Tea Tourism in Assam
Tourism Development Journal Vol. 10, Issue 1, pp. 1-14, ISSN No. 0975-7376 -
Green Synthesis of Nanoparticles Leading to the Biocontrol of Aedes Aegypti
Mosquitoes are the potential vectors of many diseases such as malaria, dengue, brain newlinefever, etc. There is a need to check the proliferation of the population of vector newlinemosquitoes to reduce vector-borne diseases by appropriate control methods. Nanotechnology, a promising field of research, opens up in the present decade and is expected to give major impulses to technical innovations. Over the past few decades, nanoparticles of noble metals such as silver exhibited significantly distinct physical, chemical and biological properties. Presently, there is a need for increased efforts to develop newer and more effective methods to control mosquito vectors. Due to different technical and operational reasons, the existing chemical and biological methods are not as effective as in the earlier period. Therefore, this study is designed to extract silver newlinenanoparticles from plant, fungal and bacterial species and assess their impact on the third and fourth-instar mosquito larvae and the adult mosquito (Aedes spp). The study has formulated a gel material that is composed of nanomaterials that exhibited promising properties to develop a nano gel product. The study is designed in a way to have an impact on the control of mosquito larvae using biologically synthesized nanoparticle formulations. Green synthesis is expected to show a higher yield of nano products that can be formulated in various forms to standardize the biocontrol of mosquito species. Bioinformatic studies revealed the good binding potential of the extracted bio compounds against the juvenile hormone binding proteins in A. aegypti. The study deduced meaningful outcomes that can benefit the environment by controlling the mosquito population and thereby reducing disease transmission in many developing countries. -
Development of efficient biometric recognition algorithms based on fingerprint and face
The reliable verification systems are required to verify and confirm the identity of an individual requesting their service. Secure access to the buildings, laptops, cellular phones, ATM etc. is an example of such applications. In the absence of robust verification systems, these systems are vulnerable to the wiles of an impostor. The traditional ways of authentications are passwords (knowledge – based security) and the ID Cards (token – based security). These methods can be easily breached due to the chance of stolen, lost or forget. The development and progress of biometrics technology, the fear of stolen, lost or forget can be eliminated. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physiological or behavioral traits associated with the person. The biometrics identifies the person based on features vector derived from physiological or behavioural characteristics such as uniqueness, permanence, accessibility, collectability with minimum cost. The physiological biometrics are Fingerprint, Hand Scan, Iris Scan, Facial
Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subject’s body. -
Development of Efficient Biometric Recognition algorithms based on Fingerprint and Face
The reliable verification systems are required to verify and confirm the identity of an individual requesting their service. Secure access to the buildings, laptops, cellular phones, ATM etc. is an example of such applications. In the absence of robust verification systems, these systems are vulnerable to the wiles of an impostor. The traditional ways of authentications are passwords (knowledge based security) and the ID Cards (token based security). These methods can be easily breached due to the chance of stolen, lost or forget. The development and progress of biometrics technology, the fear of stolen, lost or forget can be eliminated. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physiological or newlinebehavioral traits associated with the person. newlineThe biometrics identifies the person based on features vector derived from physiological or behavioural characteristics such as uniqueness, permanence, accessibility, collectability with minimum cost. The newlinephysiological biometrics are Fingerprint, Hand Scan, Iris Scan, Facial Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subject s body. But the behavioural biometric are more concerned with mood and environment.Chapter one presents the introduction to biometrics and its various newlinetraits. Further description like structure of the biometric system, different newlineapproaches are discussed. Also the design issues in biometric system such as universality, collectability, distinctiveness, permanence, acceptability, newlineuniqueness, performance, circumvention etc., are discussed. Chapter two gives a detailed survey of biometric techniques. It includes the literature survey of fingerprint and face biometric traits and various approaches. -
Highly selective first order derivative spectrophotometric determination of osmium(VIII) using anthranilic acid as a chromogenic reagent /
Indian Journal Of Chemical Technology, Vol.22, Issue 5, pp.234-240, ISSN No: 0975-0991 (Online), 0971-457X (Print). -
Determination of thallium in environmental samples by surfactant assisted dispersive liquid-liquid microextraction combined with first order derivative spectrophotometry /
European Journal Of Chemistry, Vol.6, Issue 2, pp.420-425, ISSN No:2153-2257 (Online) 2153-2249 (Print) -
A Framework for Integrating Nested Queries in Natural Language Interfaces to Databases
To translate Natural Language (NL) statements into Structured Query Language (SQL) queries, different methods and systems were proposed in the past. This work presents a framework for automating the translation of Data Requirement Specifications (DRS) given by enterprise Business Users in NL into SQL queries, focusing on requirements that result in the generation of nested SQLs. The framework takes the business user s DRS given in English as input and generates an initial query sketch by employing semantic parsing. This initial sketch is further refined and newlinecompleted into a well-formed SQL by consulting the Database Schema. It performs newlinethe translation by combining NL processing techniques with Query Sketch generation newlinemethods and refines it by employing Repair techniques or extends it further. The newlineframework suggests using Lambda expressions for intermediate representation and newlineemploys standard operations of Lambda Calculus for performing the required newlinetransformations needed for translation. Lambda Context Calculus (LCC) provides the newlineoperational semantics and the relevant methods needed in transforming NL statements newlineinto SQL, preserving the integrity and compositionality24 of expressions in every step of the translation. Though Lambda Calculus is found to be effective in representing the intermediate expressions and assists in performing the transformations that are needed for translating specific predicates into SQL, its inflexibility in combining parallel computations is a constraint. To represent clauses that are in parallel or are in pipeline, and to perform the required transformations on the intermediate expressions involving these, more advanced programming constructs are needed. It also adopts functional programming techniques to deal with complex scenarios involving nested queries. -
A framework for integrating nested queries in natural language interfaces to databases
To translate Natural Language (NL) statements into Structured Query Language
(SQL) queries, different methods and systems were proposed in the past. This work presents a framework for automating the translation of Data Requirement
Specifications (DRS) given by enterprise Business Users in NL into SQL queries,
focusing on requirements that result in the generation of nested SQLs. The framework takes the business user’s DRS given in English as input and generates an initial query sketch by employing semantic parsing. This initial sketch is further refined and completed into a well-formed SQL by consulting the Database Schema. It performs the translation by combining NL processing techniques with Query Sketch generation methods and refines it by employing Repair techniques or extends it further. The framework suggests using Lambda expressions for intermediate representation and employs standard operations of Lambda Calculus for performing the required transformations needed for translation. Lambda Context Calculus (LCC) provides the operational semantics and the relevant methods needed in transforming NL statements into SQL, preserving the integrity and compositionality24 of expressions in every step of the translation. Though Lambda Calculus is found to be effective in representing the intermediate expressions and assists in performing the transformations that are needed for translating specific predicates into SQL, its inflexibility in combining parallel computations is a constraint. To represent clauses that are in parallel or are in
pipeline, and to perform the required transformations on the intermediate expressions involving these, more advanced programming constructs are needed. It also adopts functional programming techniques to deal with complex scenarios involving nested queries. This work recommends the use of some advanced language constructs, the Fixed-point Combinators11 and Monad Comprehensions20 for performing the required transformation at the intermediate language level and adopts functional programming techniques for the required syntactic sugar. -
A feminist interrogation of gender and class representation in specific detergent advertisements /
Women have been stereotyped by society at large to be caretakers in the domestic front. Advertisement is a tool used to influence people and stereotypes have often been included in advertisements to target a specific audience. Washing clothes has been stereotyped as a women’s job in society across the globe. The concept of Feminism is to bring about equality of both genders in all spheres if life. -
The Culinary Space : Reading Food and Identity Intersections in Select Narratives
This study focuses on select fictional narratives with food mentions at the peripheries to enquire into the textualisation of food that exhibits the existence of an enunciative culinary newlinespace wherein the nuances of individual and collective identities are negotiated. The culinary space is conceptualised by considering the defined and built physical space wherein activities associated with the culinary realm occur and the imaginative space created through the presence and absence of food. This culinary space interacts with mobility, which serves as the newlinelinking idea that ties together Anita Nair s Ladies Coup(2001), Bharti Kirchner s newlineDarjeeling (2002), Monica Ali s Brick Lane (2003), Kunzang Choden s The Circle of Karma newline(2005), and Manjushree Thapa s Seasons of Flight (2010), and informs these specific newlinetextualisations of food and prompts the need to focus on the representations of everyday lived experiences. This study reads the chosen narratives to enable a reading that is distinct from the conventional one of culinary narratives centred on food and establishes that the textualisation of food in narratives with food at the peripheries is an important site of investigation. This close reading through an approach directed by concepts from food studies and select notions from space and mobility looks into how the culinary space serves as the site of defining and re-imagining of individual and cultural identities of the characters through memories of food and relations to and through food. These insights add to the existing discourses on identity by looking into the textualisation of food shaped by notions of newlinespace and mobility to show that the transformative quality of food is reflected in the dynamism of the culinary space that endorses the same in the negotiation of identities that are explored, perceived, and projected within. -
A system for simulation of collision resistant secure sum protocol and method thereof /
Patent Number: 202021055655, Applicant: Dr. Samiksha Shukla.
The present invention discloses a system for simulation of collision resistant secure sum protocol and method thereof. The present invention discloses a simulation apparatus, system and method thereof having a computation system conjugated with a processor and a Trusted Third Party (TTP) system provided on a computation server system, in which computing, by the Trusted Third Party (TTP) system having an initiator, and via the processor, for number of party, packets per party and anonymizers. -
A system for secure collaborative computation and method thereof /
Patent Number: 202121003561, Applicant: Dr. Samiksha Shukla.
The present invention discloses a system for Secure Collaborative Computation and method thereof. The present invention discloses a computation system conjugated with a processor and, the processor is to: provide input data by one or more computer system using an input device and further recognizing the input data. -
A storage system for data encryption and decryption using line and method thereof /
Patent Number: 202141013775, Applicant: Sanjana Theresa.
The present invention discloses a storage system in a computer network for data encryption and decryption using line graphs and method thereof. The system includes, but not limited to, a processing unit in a computer network that includes at least one hardware processor, the processing system configured to perform: to represent data as vertices in a graph; wherein each character is correspond to a vertex while all adjacent characters in the plaintext will be represented as adjacent vertices in the graph.