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Taming the HiPPO (Highest Paid Person's Opinion) with agile metrics and value management
If the organisation's ecosystem has an excess of HiPPOs, data, measured analytics, and other realtime information that minimises uncertainty can help them mitigate the consequences. They disregard the wisdom of the crowd, overlook the front-line staff's abilities, and risk disengaging the workforce. This research advocates agile metrics and value management to tame the HiPPO. The authors posit to reign in opinions with metrics. The corporate enlightenment brought about a revolutionary idea over three centuries ago: to elevate science and knowledge above magical thought and mysticism. When the authors convert this into modern terms, they are referring to data-driven management, analytics, and hypothesis validation. In fact, the idea of applying science in the form of true evidence, confirmed data, etc. to production processes underlies much of the industrial revolution. 2023, IGI Global. All rights reserved. -
TamilEnglish Machine Translation: A Comparative Analysis of Human and AI Renderings
This chapter explores the understudied challenges of TamilEnglish machine translation (MT), which is a field where most existing scholarship has focused on Western language pairs. It performs a comparative analysis of published translations of acclaimed Tamil authors such as Perumal Murugan, Ashokamitran, Jeyamohan, and Charu Nivedita with AI- generated translations produced by systems including ChatGPT, Grok, and AI Novel Translation. It explores issues of accuracy, fidelity, style, and cultural nuance. By examining how AI tools interpret and reproduce linguistic choices, syntax, and cultural particularities, it evaluates the extent to which AI can approximate human translation and highlights the role of post- editing in bridging gaps. The analysis not only identifies recurring errors but also suggests methods for refining human and AI translations for Tamil literary texts. 2026 by IGI Global Scientific Publishing. All rights reserved. -
TAMIL- NLP: Roles and Impact of Machine Learning and Deep Learning with Natural Language Processing for Tamil
Reading information in your mother tongue gives the feeling of enjoying juice of fruit. Researchers are working on regional languages to provide convenient and perfect automated tools to convert the content of knowledge from other languages. There exist many challenges based on the grammar of language. One of the classic regional languages, Tamil which is rich in Morphology, contains more processing challenges. The Natural Language Processing (NLP) technique along with Machine Learning (ML) and Deep Learning (DL) algorithms have been used to overcome those challenges. The accuracy of work is depending on the corpus provided to train the model. Among the reviewed papers using Support Vector Machine (SVM) of ML produced higher accuracy then other ML techniques. As DL techniques for NLP are booming one the researchers are working with different DL algorithms. Most of the NLP with Review Discussion in this paper will direct the researchers doing NLP in Tamil language to move further and to choose the right Machine Learning and Deep Learning algorithm to come out with accurate outcomes. 2023 IEEE. -
Tamarindusindica Mediated Combustion Synthesis of BiOCl: Photocatalytic Degradation of Dyes and Synthesis of ?-Enaminones
Environmental pollution due to dyes has been increasing continuously due to the large number of textile industries, which affects living systems. Photocatalytic degradation (PCD) is one of the most efficient methods to expel organic dyes in wastewater. In this respect, synthesizing photocatalytic nanoparticles to degrade organic dyes by a simple and cost-effective method is the real challenge. In this article, a carcinogenic dye, methylene blue, is considered for our study as it releases highly toxic species into the ecosystem and causes severe health problems such as cancer, skin and kidney problems, etc. Bismuth oxychloride has been synthesized by simple, low cost and rapid combustion method using low cost, easily available Tamarindusindica as a fuel at 500 C for ~10 min. The obtained BiOCl has been characterized by x-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), Raman spectroscopy, scanning electron microscopy (SEM), high-resolution transmission electron microscopy (HR-TEM), UV-Vis spectroscopy, photoluminescence spectroscopy and surface area by BrunauerEmmettTeller (BET). The XRD pattern shows a tetragonal phase and the FT-IR spectrum shows the presence of Bi-Cl at 1109 cm?1. SEM shows a flake-like morphology and HR-TEM displays d-spacing values of 0.13 nm. Photoluminescence studies show a green emission peak at 530 nm. Synthesis of ?-enaminones was also examined using analogues of aniline and dimedone in presence of BiOCl as a photocatalyst. 2021, The Minerals, Metals & Materials Society. -
Talent retention, job involvement satisfaction, and commitment towards the organization in the IT sector
Even if there is presently much need for improvement, the information technology (IT) sector plays a key role in the nation's financial development. With enormous growth potential, India's IT sector is up against fierce competition. Numerous participants are competing with one another for resources and jobs inside the company. The direction of events and the manageability of the IT industry depend on capable employees and their responsibilities and participation. Additionally, there is a grouping of the representatives who possess the capacity. Between duty and association and ability maintenance, work fulfilment plays a crucial guiding role. The goal of the current study is to comprehend the effects of talent retention, job satisfaction, and organizational commitment in the IT industry. In this research, we looked at the variables factor analysis. In Bangalore, we chose to survey workers in the IT industry. To understand the results of Talent Retention, Job Involvement, and Commitment for IT Sector Employees, we collected the data using a questionnaire (Likert-scale), which we then analyzed using spss26. 2023 Author(s). -
Talent Retention Practices: Concepts and Analytical Perspectives
Employee retention is a huge challenge for many companies because of the difficulty of getting the right talent at the right place for the right job with the required potential to cope with the new changing environment. A Gartner survey revealed that 91% of HR leaders expect employee turnover in the immediate future. Even more so if employees have more job offers while joining a company, and if they find discrepancies from their expectations, they are ready to leave the job. In this scenario, it is the need for organizations to identify the beststrategies to retain talented employees. This chapter explains the concepts of talent retention, its relevance, practices, factors, and analytics contributing in retaining employees. This chapter will be helpful for organizations to devise new strategies for retaining the employees. This will also be useful for academicians and students to apply analytics in retaining employees. 2023, IGI Global. All rights reserved. -
Talent Management Practices and Product Differentiation as Resilience Strategies in Africa
The challenge of weak product among other issues confronting resilience strategies of an organization has been attributed to insufficient investment in talent management. This study investigated talent management practices as resilience strategies from a product differentiation perspective among selected deposit money banks (DMBs) in Nigeria. A survey research design was adopted, and the population was 2, 169 senior employees and managers. A stratified random sampling technique was adopted, and a sample size of 425 respondents was determined using Rao soft online sample calculator. A validated structured and adapted questionnaire was used in gathering data while Cronbachs alpha reliability coefficients for the constructs ranged from 0.929 to 0.942 with a response rate of 85.6%. Findings indicated that talent management components had a significant effect on product differentiation (adjusted R2 = 0.779, F(5, 366) = 261.564, p < 0.05). The conclusion was that talent management practices significantly affect product differentiation. It was recommended to the management of the DMBs in Nigeria particularly and Africa in general to prioritize talent management practices as resilience strategies to advance product differentiation in their various units of operations. 2026 Solomon Olusegun Adeoye and Johnson Ashiemamho Egwakhe -
Talent acquisition-artificial intelligence to manage recruitment
The research aims to examine the awareness of Artificial Intelligence among the HR managers and Talent Acquisition managers in the process of Talent Acquisition, Investigating the factors influencing the adoption and usage of Assisted Intelligence, and evaluating the impact of Artificial Intelligence on Talent Management. Multi-Stage sampling method was adopted to collect the responses from the 384 customers across the HR and TA managers working across the IT companies situated in Bangalore, Mysore, Pune, and Chennai & Hyderabad. SAS was applied to perform the Simple Percentage Analysis, Correlation Analysis, Multiple Linear Regression Analysis to validate the hypothesis. The demographic & construct variables considered were Adoption, Actual usage, Perceived usefulness, Perceived Ease of Use, & Talent Management. Awareness of the Artificial Intelligence technology and its adoption in managing Talent Acquisition has the positive and high correlation and followed by its actual usage. Candidate experience is the most influencing variable from the first factor, Competency and Easy to use is the most influencing variable from the second factor, Effectiveness in the adoption and actual usage of Artificial Intelligence in Talent Acquisition. Talent Management is the highest predictor of using the technology and its adoption is the most influencing predictor in the effective implementation of the technology among the Information Technology Companies. The Authors, published by EDP Sciences. -
Taj Mahal
Taj Mahal Stamp was issued on 16 December, 2004. The Department of Posts issued the commemorative postage stamp as the symbol of eternal love. It was printed by the Indian Security Press. -
Tailoring the properties of tin dioxide thin films by spray pyrolysis technique
Nanostructured transparent conducting SnO2 thin films have been grown on glass substrates via an environmentally benign chemical route viz spray pyrolysis. All samples were grown for various concentrations of precursor solution with the substrate kept at 350 C maintaining a spray rate of 10 mL/min. The characterizations revealed orthorhombic crystal structure with preferential growth in (112) plane for all samples. Ellipsometric analysis confirmed the good quality of the films. The sample prepared at 0.2 M concentration of precursor solution showed average transmission of 60% in the visible region with maximum conductivity of 24.86 S/cm. As synthesized samples exhibited overall Photoluminescence (PL) emission colours of green, greenish white and bluish white depending on the intensities of excitonic and oxygen vacancy defect level emissions. 2021 Elsevier B.V. -
Tailoring of low grade coal to fluorescent nanocarbon structures and their potential as a glucose sensor
Lignite is an abundantly utilized feedstock for the facile synthesis of fluorescent carbon dots and carbon nanomaterials. Its value is appreciated as an energy source for combustion for long time. Herein we report a novel top-down strategy to synthesis lignite based fluorescent nano carbon structures by combined acidic oxidation and chemical reflux. The nanocarbon crystallites in lignite are converted to oxygenated nano carbon dots and graphene sheets. They exhibited stable fluorescence property in the visible region depending on their size, functionalities and defects which were highly stable in all the pH conditions. These nanocarbon structures are an effective probe for fluorescent sensing of label-free and selective detection of glucose ions with detection limit as low as 0.125 mM, promising real-world sensor applications. These findings establish a scalable method for the production of fluorescent carbon based glucose sensor from lignite. 2018, The Author(s). -
Tailoring natural rubber properties through CaO nanoparticle integration and curing technique
The present study investigates the development of natural rubber nanocomposites reinforced with calcium oxide nanoparticles and cured using pentane-1,5-diylidenediamine, a green crosslinker derived from glutaraldehyde and ammonia. calcium oxide nanoparticles (0.020.16wt%) were incorporated via latex blending, and composites were evaluated in both uncured and pentane-1,5-diylidenediamine -cured forms. Fourier-transform infrared spectroscopy confirmed that the calcium oxide nanoparticles were well dispersed and actively involved in crosslinking with the rubber matrix. Scanning electron microscopy showed that the cured composites had a more uniform surface and better distribution of nanoparticles. Mechanical testing revealed a remarkable tenfold increase in tensile strength from 0.217MPa to 8.478MPa and a significant improvement in elongation at break, rising from 666 to 1317% in the pentane-1,5-diylidenediamine -cured samples. The best mechanical performance was achieved at 0.10wt% calcium oxide. Dielectric measurements further highlighted an increase in permittivity and AC conductivity, especially in the cured composites, attributed to interfacial polarization and the formation of nanoparticle networks. Altogether, these results underline the synergistic benefits of calcium oxide nanoparticles and pentane-1,5-diylidenediamine curing in enhancing the structural, mechanical, and dielectric properties of natural rubber, making it a strong candidate for advanced elastomeric and dielectric applications. The Author(s), under exclusive licence to the Institute of Chemistry, Slovak Academy of Sciences 2026. -
Tailoring acid-base sites and oxygen vacancies in boron- and sulfur-integrated cobalt oxide for high-performance NaBH4 dehydrogenation
Catalytic hydrolysis of sodium borohydride (NaBH4) offers an effective route for on-demand hydrogen generation. In this study, we develop a sulfur and boron modified cobalt oxide catalyst (S-B-CoxOy), through controlled calcination, for hydrogen production from NaBH4. The catalyst achieves a high hydrogen generation rate of 5,400 mL min?1 g?1, facilitated by synergistic enhancements in crystallinity, defect density, and acid-base site distribution. Sulfur and boron incorporation enhances oxygen vacancies and increases active site density, promoting efficient adsorption and activation of NaBH4 and water. NH3-TPD and CO2-TPD confirm balanced acid-base functionalities crucial for electron transfer and intermediate stabilization. A thermally induced phase transition from Co3O4 to CoO, along with increased surface area, further boosts activity. Kinetic studies reveal a zero-order dependence on NaBH4 concentration, demonstrating that the reaction rate is primarily governed by the catalyst's surface properties. This work highlights the importance of defect engineering and surface tuning for efficient hydrogen generation. 2025 -
Tailoring a Multifunctional PEDOT/Co3O4-CeO2 Composite for Sustainable Energy Applications
Energy sources play a crucial role in the development of the society. The gargantuan depletion of fossil fuels creates new glitches in the routine activities of human beings. Electrocatalysts can efficiently produce and store energy and, therefore, have the potential to alleviate this situation. A multifunctional electrocatalyst, Poly (3,4-ethylenedioxythiophene)/cobalt oxide-cerium oxide(PEDOT/Co3O4-CeO2), is synthesized by incorporating mixed metal oxide to 3,4-ethylenedioxythiophene (EDOT) using the in situ chemical oxidative polymerization method and is employed for both energy production and storage applications. The successful synthesis of the catalyst is confirmed through various characterization techniques. The composite shows a specific capacity of 617.8Cg?1 and a specific capacitance value of 1298.1Fg?1. The hydrogen evolution reaction (HER) analysis shows that the composite requires a low overpotential of 163.1mV at a current density of 10mAcm?2. Synthesized electrocatalysts can effectively handle the energy related issues prevailing in the society. 2024 Wiley-VCH GmbH. -
Tailored Optoelectronic Materials: DES-Modified MWCNTs in PVA Matrix for Advanced Polymeric Films
Integrating optoelectronic functionalities with advanced materials offers exciting potential for novel composite systems. This study investigates the synthesis, characterization, and optoelectronic applications of polyvinyl alcohol (PVA) films incorporating multi-walled carbon nanotubes (MWCNTs) surface-modified with choline chloride-urea (1:2) deep eutectic solvents (DES), known as Reline. Dispersion of Reline-enhanced MWCNT within the PVA matrix is meticulously described. DES-grafted MWCNTs demonstrate improved solubility, leading to superior dispersion within the polymer, confirmed by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD). The influence of Reline-grafted MWCNT loading on the films' optoelectronic properties, including optical absorbance, bandgap, and electrical conductivity, is systematically analyzed. Results show that DES-grafted MWCNTs significantly enhance these properties, indicating strong potential for these composites in optoelectronic devices such as solar cells, photovoltaics, photodetectors, and light-emitting devices. 2025 by the authors. -
Tailored Garment Recommendations Using Computer Vision and Machine Learning
In the realm of online shopping, despite the many advancements made in this specific field, the dilemma of finding the best clothing items that are right fit and meet the style preference of a consumer and avoid returns is yet to be completely solved. This problem has often resulted in customer dissatisfaction. The proposed system intends to deal with this problem by analyzing the users body size and suggesting the best fitting garment that suits their size and style with the help of advanced computer vision and machine learning technologies. This approach not only provides an improved online shopping experience with personalized recommendations, it furthermore contributes toward reducing the environmental impact caused by the return of ill-fitting clothing hence promoting sustainability. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Tailored cobaltnickel phospho-boride from metalorganic frameworks as high-performance catalyst for NaBH4 dehydrogenation
Achieving efficient hydrogen generation (HGR) via the hydrolysis of sodium borohydride (NaBH4) remains a key challenge in developing cost-effective and high-performance catalytic systems for chemical hydrogen storage. In this study, we present a novel bimetallic phospho-boride-modified metal-organic framework catalyst (CoNi-PB-MOF), synthesized through a two-step process involving hydrothermal assembly followed by chemical reduction. The co-incorporation of phosphorus and boron into the bimetallic Co-Ni MOF facilitates the formation of 2D MOF-derived nanoplates embedded with Co3O4 nanoparticles doped with P and B. This hybrid structure features a high surface area, abundant active sites, and reduced charge-transfer resistance, enabling superior catalytic activity. The CoNi-PB-MOF catalyst achieves an impressive HGR of 7.33 L/min/g from NaBH4 hydrolysis, outperforming its monometallic counterparts. Comprehensive physicochemical and electrochemical analyses confirm the synergistic roles of Co, Ni, P, and B in enhancing catalytic performance, while preserving the porous MOF morphology post-modification. The CoNi-PB-MOF catalyst exhibits a low activation energy of 25.6 kJ/mol, along with excellent thermal stability and cyclic durability under harsh conditions. Kinetic studies reveal a zero-order reaction with respect to NaBH4 concentration, attributed to efficient mass transport and surface diffusion on the optimized catalyst surface. 2025 Elsevier B.V. -
Tailor-Made Polyelectrolyte Multilayers for the Removal of Obidoxime from Water in Microfiltration Process
Abstract: The aim of this study was to develop and review the properties including removal efficacy of novel polyelectrolyte based multilayers against a pharmaceutical, obidoxime (OBD) from water. After examining a wide range of bilayer pairs based on different polyelectrolytes, the layer-by-layer (LbL) modification of polyamide microfiltration membrane with a uniform coating of poly(diallyldimethylammoniumchloride) (PDAC) and poly(sodium styrene sulfonate) (PSS) multilayers was found to be effective in its removal. The characterization of the bilayer pair was done with analytical instruments like UV-vis spectroscopy, ATR-FTIR, spectroscopic ellipsometry, TGA, SEM and AFM. The characterization of bilayer pairs demonstrated the stability and integrity of bilayer pair. The removal efficiency of bilayer buildup was analyzed by adjusting different assembly conditions and other filtration parameters. The maximum removal rate by the bilayer was 99.26% for 7 bilayer with average permeate flux of 6.19 m3/m2 day. These bilayers exhibit stable rejection properties under various applied conditions including change in pH, presence of anions, and macromolecules etc. suggesting its potential rejection application. The major factors that facilitate the rejection are found to be hydrophilic interaction and steric factor. The present study validated the application of polyelectrolyte modified microfiltration membranes as a potentially feasible and promising method for the removal of obidoxime residues from water matrix. 2020, Pleiades Publishing, Ltd.