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Neuroinflammation and cognitive function in infectious diseases
Inflammation of the central nervous system (CNS), which various infectious diseases can induce and significantly affect cognitive functions. The review enriches the current understanding of neuroinflammation pathology and suggests novel diagnostic/therapeutic strategies for cognitive impairments. Pathogens cause disruption of the blood-brain barrier (BBB), which could be due to a repertoire of mechanism viz. the interplay of inflammatory cytokines and reactive oxygen species. The influence of neuroinflammation on cognitive function is immense and multifactorial. Neuroinflammatory responses in the acute phase can result in cognitive impairments, like memory deficits, attention span being reduced, and executive dysfunction. However, in cases of persistent neuroinflammation lead to long-term cognitive decline and neurodegenerative processes. The mechanisms underlying these cognitive changes are diverse, including disruptions in synaptic plasticity, alterations in neurotransmitter systems, and neuronal cell death. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Neuroleadership strategies: Elevating motivation and engagement among employees
In the ever-evolving landscape of the modern era, organizations face the ongoing challenge of maintaining motivated and engaged employees. Despite the substantial body of research on this topic, many organizations still struggle to effectively promote engagement and motivation among their employees. This research aims to investigate the application of neuroleadership strategies in addressing this issue. The SCARF model, based on neuroscience principles, provides a valuable framework for understanding neuroleadership strategies which address social and emotional triggers that impact engagement and motivation. It can be effectively used to drive motivation and engagement in the workplace by addressing the fundamental social and emotional needs of employees. This study employs a quantitative approach which assesses the 321 employees from different organizations in India. The results of the study would provide leaders with practical insights to boost motivation and engagement in organizations and thereby improve the effectiveness of the organization. 2024, IGI Global. All rights reserved. -
Neuromarketing: The new science of advertising /
Universal Journal Of Management, Vol.3, Issue 12, pp.524 - 531, ISSN No: 2331-950X. -
Neuropalliative Care Needs Checklist for Motor Neuron Disease and Parkinson's Disease: A Biopsychosocial Approach
Objectives: Neurodegenerative disorders necessitate comprehensive palliative care due to their progressive and irreversible nature. Limited studies have explored the comprehensive assessment needs of this population. This present study is designed to develop a checklist for evaluating the palliative care needs of individuals with motor neuron disease (MND) and Parkinson's disease (PD). Materials and Methods: The checklist was created through an extensive literature review and discussions with stakeholders in neuropalliative. Feedback from six field experts led to the finalisation of the checklist, which comprised 53 items addressing the unique biopsychosocial needs of MND and PD. Sixty patient-caregiver dyads receiving treatment in a tertiary referral care centre for neurology in south India completed the checklist. Results: People with MND had more identified needs with speech, swallowing, and communication, while people with PD reported needs in managing tremors, reduced movements, and subjective feelings of stiffness. People denying the severity of the illness was found to be a major psychosocial issue. The checklist addresses the dearth of specific tools for assessing palliative care needs in neurodegenerative disorders, particularly MND and PD. By incorporating disease-specific and generic items, the checklist offers a broad assessment of patients' multidimensional needs. Conclusion: This study contributes to the area of neuropalliative care by developing the neuropalliative care needs checklist (NPCNC) as a valuable tool for assessing the needs of individuals with neurodegenerative diseases. Future research should focus on refining and validating the NPCNC with larger and more diverse groups, applicability in different contexts, and investigating its sensitivity to changes over time. 2024 Published by Scientific Scholar on behalf of Indian Journal of Palliative Care. -
NEUROPLASTICITY UNLEASHED: Receiving the Brain for Recovery
Neuroplasticity, the brains dynamic ability to reorganize and adapt across the lifespan, underpins contemporary approaches to neurorehabilitation. This chapter critically examines the clinical, neuroimaging, and neurophysiological evidence for plasticity-driven recovery. Drawing on longitudinal studies and case-based analyses, we illuminate how recovery can occur even in late stages, challenging the traditional notion of static chronic phases. The chapter highlights the role of task-specific practice, intensity, and timing in shaping neural reorganization, emphasizing that plasticity is not merely a spontaneous biological process but one that can be modulated through structured intervention. We further explore how electroencephalography (EEG)-based markers offer temporally precise insights into reorganization across cognitive, sensory, and affective domains. Neuroimaging findings reveal compensatory activation, network shifts, and bilateral engagement as hallmarks of adaptive plasticity. Affect, motivation, and goal-directed behavior are positioned as central to driving experience-dependent changes, especially when integrated into patient-centered therapy. In addition, we examine the intersection of individual difference factorsincluding personality and cognitive reservewith neuroplastic potential and propose frameworks for personalized rehabilitation. Finally, the chapter outlines emerging directions in tech-enabled plasticity interventions and translational models of care. Together, the evidence underscores neuroplasticity not only as a recovery mechanism but also as a target for strategic, evidence-based rehabilitation. The interdisciplinary approach adopted here aims to bridge neuroscience, clinical practice, and lived patient experiences to inform future research and therapeutic innovation. 2026 selection and editorial matter, K. Jayasankara Reddy; individual chapters, the contributors. All rights reserved. -
Neuroplasticity, Stress, and Resilience in the Mordern Workplace
Workplace stress profoundly impacts well- being, leading to burnout and low productivity despite traditional interventions. This chapter explores how neuroplasticity offers a solution for enhanced resilience. Chronic stress alters brain regions like the amygdala and prefrontal cortex, impairing decision- making and memory. Fortunately, processes like synaptic reorganization and neurogenesis enable brain recovery. Evidence- based interventions mindfulness, exercise, social support, and sleep hygienestrengthen stress tolerance. Workplace- level changes, including resilient leadership and ergonomics, also foster adaptability. Integrating neuroscience, psychology, and organizational behavior, this framework highlights neuroplasticity's role in building individual and organizational resilience, creating more adaptive and humane workplaces. 2026 by IGI Global Scientific Publishing. -
Neuropsychological functions and optimism levels in stroke patients: A cross-sectional study
Neuropsychological abnormalities, as well as behavioural and psychological characteristics, are being examined in patients in order to determine the prevalence of cognitive impairment and other neurovascular riskfactors, including prior strokes. The green light has been given by the institution's human ethics committee for this investigation. In order to conduct the study, the researchers used experimental clinical research techniques. Seventy-five stroke patients ranging in age from 20-70 were the focus of this study. All patients in the hospital had daily clinical examinations and were able to identify the underlying causes of their strokes. The NIMHANS Neuropsychological Battery was administered to all patients between one and six months after the onset of their stroke symptoms. 2023, IGI Global. All rights reserved. -
Neuroscience of social understanding
Comprehending human behavior and interactions requires an understanding of the social mind. Social cognitive neuroscience provides a lens to understand these complexities. This chapter explores the core brain mechanisms that control social conduct by exploring the field of social cognitive neuroscience. It examines aspects of social cognition, like the theory of mind, social perception, empathy, and decisionmaking. It explains how the brain helps navigate complex social contexts by looking at complex interactions between neurological processes and social behaviors. Important subjects include the function of the mirror neuron system, temporoparietal junction and prefrontal cortex in mediating social cognition. It discusses the implications of social cognitive neuroscience for understanding diseases such as schizophrenia and autism spectrum disorder, which are characterized by social deficiencies. Through this research, we learn about the social mind and its brain foundations, and it opens the door to novel interventions that improve interpersonal relationships and social well-being. 2024 by IGI Global. All rights reserved. -
NEUROSCIENTIFIC METHODS IN PRACTICE: Applications in Clinical Neuropsychology and Neuro-Forensic Psychology
This book presents an in-depth exploration of the convergence of neuroscience with clinical psychology, clinical neuropsychology, and forensic psychology, examining advanced methodologies, practical applications, and real-world case studies. K. Jayasankara Reddy provides a thorough examination of state-of-the-art neuroscientific methods and the revolutionary effects on both diagnosis and forensic inquiry. Reddy highlights the transformative impact of neuroimaging, neurophysiology, neuroelectrophysiology, and genetic analysis on our comprehension of brain function and behavior, using compelling case examples and empirical evidence. This book not only discusses methods but also critically examines ethical difficulties, merits, and challenges of the techniques, as well as the legal ramifications that may arise from the use of neuroscientific evidence in clinical and forensic settings. This book also highlights the need for a sophisticated comprehension of privacy issues, patient self-governance, and the use of neurobiological information within legal structures. Overall, it provides readers with the tools to negotiate complicated ethical landscapes while responsibly utilizing neuroscientific discoveries, advocating for a balanced approach that combines scientific rigor and ethical responsibility. This volume is an important resource for students, researchers, and practitioners of clinical neuropsychology, forensic psychology, and neuroscience. 2026 K. Jayasankara Reddy. -
NEUROSTIMULATION IN LONG COVID: Advancing Neurocognitive Rehabilitation and Recovery
Neurostimulation techniques are emerging as promising interventions for addressing neurocognitive impairments associated with Long COVID, including brain fog, fatigue, memory deficits and executive dysfunction. Non-invasive modalities such as transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) have demonstrated potential in modulating neural activity, enhancing cognitive recovery and alleviating neuroinflammatory processes linked to post-viral syndromes. Vagus nerve stimulation (VNS) and transcutaneous auricular VNS (taVNS) offer additional therapeutic avenues by targeting autonomic dysfunction, which is often implicated in Long COVID-related dysautonomia and cognitive fatigue. Neuromodulation approaches combined with neurofeedback and cognitive rehabilitation may optimise neuroplasticity and functional outcomes in affected individuals. Wearable neurostimulation devices and home-based therapies further improve accessibility, offering scalable solutions for post-COVID neurorehabilitation. However, challenges such as variability in patient response, optimal stimulation parameters and long-term efficacy require further investigation. Integrating neurostimulation into multidisciplinary rehabilitation frameworks that include cognitive training, exercise therapy and pharmacological support may enhance recovery trajectories. Future research should prioritise personalised stimulation protocols, biomarker-driven treatment strategies and longitudinal studies to establish evidence-based guidelines for neurostimulation in Long COVID. 2026 selection and editorial matter, K. Jayasankara Reddy; individual chapters, the contributors. All rights reserved. -
NEUROSYMBOLIC AI FOR CONTEXT-AWARE RESOURCE MANAGEMENT IN 5G SMART HEALTHCARE NETWORKS
Context-aware resource management in 5G Utilising neurosymbolic AI has growing impacts in the next-generation healthcare systems as smart healthcare networks to overcome the crucial issues of optimal service delivery and dynamic resource allocation. The 5G technology is adopted in healthcare networks for real-time processing, low latency, and high reliability that supports a vital application as telemedicine and remote patient monitoring. The resource management process of existing model rapidly fails in complicated, context-dependent situation with dynamic demands. To overcome these limitations, we proposed improved framework that combines a deep learning (DL) models for context extraction and symbolic reasoning process for decision-making. To determine the contextual patterns, the DL component analyses the multi-source data, as patient vitals, network conditions, and device status by utilising Transformer and Graph Neural Networks (GNNs). These data fed into symbolic reasoning module employ a knowledge graph and a rule-based system to dynamically allocate and distribute the resources based on the predetermined healthcare policies and requirements. Experimental results of this study showcase the improvements by attaining a reduction in latency, enhances in resource utilisation efficiency, and improved Quality of Service (QoS) for essential healthcare applications. In 5G-enabled smart healthcare systems, the results ensure a proposed model potential to transforms a resource management and ensure context-aware, versatile, and dependable service delivery for enhanced patient outcomes. 2025, Scibulcom Ltd.. All rights reserved. -
Neutron Polarization Observables in d(Formula Presented.)p at Low Energies of Interest to Astrophysics
A model-independent theoretical analysis of neutron polarization observables in (Formula Presented.) using circularly polarized photons at the range of energies of interest to Big Bang Nucleosynthesis is presented. An investigation of various spin dependent observables is carried out including the isoscalar multipole amplitudes M1s and E2s. It is suggested that the measurement of neutron polarization in the final state at near threshold energies will be very useful to assess the contribution of isoscalar amplitudes at range of energies of interest to BigBang Nucleosynthesis. 2022, The Author(s). -
New biomarkers for the detection of fetal death derived from large-scale proteomic analysis of maternal plasma
Background Normal pregnancy involves the modulation of thousands of maternal plasma proteins, and protein values not within the normal range may indicate the development of adverse pregnancy outcomes. A decrease in placental growth factor and an increase in soluble fms-like tyrosine kinase 1 in maternal plasma were shown to be associated with fetal death at the time of diagnosis and to predict this devastating pregnancy outcome at 24 to 28 weeks of gestation. However, these proteomic dysregulations are also present in other obstetrical syndromes, and more specific and sensitive biomarkers are needed to implement preventive strategies. Objective This study aimed to identify candidate protein biomarkers that can improve the prediction of fetal death relative to placental growth factor and soluble fms-like tyrosine kinase 1. Study Design This retrospective case-control study included 38 patients who experienced fetal death (cases) and 23 patients with uncomplicated pregnancies (controls). Plasma samples were collected at the time of diagnosis (2041 weeks of gestation) from cases and during routine care from gestational agematched controls. An aptamer-based multiplex assay was used to measure the abundance of >7000 protein analytes. Differential protein abundance was assessed using linear models with adjustment for gestational age at sample collection. Significance was inferred using a moderated t test adjusted P value of <.1 and a fold change of >1.25. Hypergeometric tests were performed to identify gene ontology biological processes enriched among proteins with significant changes in abundance. Random forest models were trained and evaluated via cross-validation to distinguish between fetal death cases and controls and to pinpoint the most salient predictors. Results Among the 7146 protein assays tested, 97 assays (1.4%) corresponding to 87 unique proteins differed significantly in abundance between fetal death cases and controls: 63 of 87 proteins (72%) were less abundant in fetal death cases, and 24 of 87 proteins (26%) were more abundant in fetal death cases. Dysregulated proteins were involved in pregnancy-related processes, such as angiogenesis and lactation. Random forest models effectively differentiated fetal death cases from controls, achieving an area under the receiver operating characteristic curve of 72% for the combination of placental growth factor and soluble fms-like tyrosine kinase 1, which increased to 86% when up to 50 additional proteins were included in the models (Delong test: P =.004). In addition, the point estimate of sensitivity increased from 53% to 74% (false-positive rate of approximately 10% for both). Glycoprotein hormones alpha chain (CGA), DnaJ homolog subfamily B member 9 (DNAJB9), and DNA-directed RNA polymerase III subunit RPC10 (POLR3K) emerged as the top 3 candidates to improve discrimination relative to placental growth factor and soluble fms-like tyrosine kinase 1. The significant proteomic changes in a subset of fetal death cases diagnosed first with preeclampsia relative to controls were highly correlated ( r =0.78; P <.001) with those reported in late preeclampsia cases leading to live births. On average, for each 2-fold change in protein abundance in late preeclampsia leading to live birth, there was an 8.6-fold change in preeclampsia leading to fetal death. Despite this overall correlation, transcobalamin 2, glucose-6-phosphate 1-dehydrogenase, and hepcidin, among others, demonstrated dysregulation only in preeclampsia leading to fetal death, suggesting both shared and distinct pathways perturbed in the 2 syndromes. Conclusion Our findings suggest that new maternal plasma proteins improve the discrimination of fetal death from controls relative to known biomarkers and that, although the signatures of fetal death and of preeclampsia are correlated, fetal death not only represents a much heightened disease state but also involves distinct perturbed pathways. Future studies are needed to determine whether the biomarkers can predict fetal death. 2026 Elsevier Inc. -
New bounds of induced acyclic graphoidal decomposition number of a graph
An induced acyclic graphoidal decomposition (IAGD) of a graph G is a collection ? of nontrivial induced paths in G such that every edge of G lies in exactly one path of ? and no two paths in ? have a common internal vertex. The minimum cardinality of an IAGD of G is called the induced acyclic graphoidal decomposition number denoted by ? ia (G). In this paper we present bounds for ? ia (G) in terms of cut vertices and simplicial vertices of G. Springer Nature Switzerland AG 2019. -
New Business Development Strategies for Achieving Sustainable Growth
In an increasingly competitive and fast-paced global economy, sustainable business success hinges on the ability to innovate, adapt, and execute well-informed strategies. The modern entrepreneur or business leader must navigate complex challenges, from securing funding and managing teams to leveraging technology and aligning operations with long-term goals. Strategic frameworks that integrate both foundational business principles and emerging trends are essential for building resilient, scalable enterprises. By promoting agility, innovation, and sustainability, this topic directly supports economic development and empowers a new generation of leaders to create lasting, positive impact across industries and communities. New Business Development Strategies for Achieving Sustainable Growth provides a comprehensive road map to build, grow, and sustain successful businesses in an ever-changing global market. It bridges the gap between theoretical knowledge and practical application, equipping readers with actionable strategies to navigate challenges, leverage opportunities, and achieve long-term business success. Covering topics such as adaptive business, digitalization, and property management, this book is an excellent resource for entrepreneurs, business owners, managers, executives, students, consultants, educators, researchers, academicians, and more. 2026 by IGI Global Scientific Publishing. All rights reserved. -
New constituents triterpene ester and sugar derivatives from Panax ginseng Meyer and their evaluation of antioxidant activities
Panax ginseng C. A. Meyer (Araliaceae), is a well-known herb and used in the old established system of Oriental remedy, especially in Japan, China and Korea. Four new compounds characterized as (cis)- 7?,11?,19,21-tetra-O-decanoyl-18, 22?-dihydroxy-dammar-1-en-3-one (1), 3?,4?,12?-trihydroxystigmast-5-en-21-yl octadecan-9?,12?-dienoate (2), dammar-12, 24-dien-3?, 6?, 15?-triol-3?-D-arabinopyranosyl-6?-L-arabinopyranoside (3) and dammar-24-en-3?, 6?, 16?, 20?-tetraol-3?-D-arabinopyranosyl-6?-D-arabinopyranoside (4) were isolated and established from the ethyl acetate and butanol extracts of the roots of P. ginseng. Their structures were established on the basis of spectral data and chemical reactions. Natural compounds indicative a great reservoir of materials and compounds with evolved biological activity, including antioxidant. Compounds 14 were investigated in vitro for antioxidant potential using ferric reducing antioxidant power (FRAP), the Nitric oxide (NO) scavenging activity, reducing power, phosphomolybdenum and 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging actions, and the decision showed the compounds 3and 4 have probablyessential antioxidant properties than the compounds 1and 2 presented weak activity. 2016 The Authors -
New constraints on f(T) gravity from DESI DR2 and dark energy survey supernovae
We present new observational constraints on three viable f (T) gravity parametrizationsthe Power Law (f 1CDM), Linder (f 2CDM), and Exponential (f 3CDM) modelsusing the latest Baryon Acoustic Oscillations (BAO) measurements from the Dark Energy Spectroscopic Instrument (DESI) Data Release 2 (DR2). We combine the spectroscopic DESI-DR2 data with Cosmic Chronometer (CC) measurements, the Type Ia Supernovae sample from the Dark Energy Survey (DES) Year 5, and early-universe CMB distance priors to break parameter degeneracies. Our Bayesian MCMC analysis reveals that while late-time data alone suggests a statistical preference for a non-zero deviation from GR at the 1 ? 2 ? level, the inclusion of CMB priors pulls the models significantly closer to the standard ?CDM limit. Specifically, we constrain the joint dataset distortion parameters to p1=?0.002?0.041+0.047, 1/p2=0.156?0.057+0.10, and 1/p3=0.144?0.023+0.071. Across all three models, the addition of early-universe data anchors the inferred Hubble constant to sub-percent precision, clustering around H0?67.3?67.7kms?1Mpc?1, showing excellent agreement with Planck 2018 results but remaining in tension with local SH0ES calibrations. Statistical model comparison demonstrates that while late-time data favors the f (T) extensions (?AIC'?2), the comprehensive joint analysis renders them statistically indistinguishable from ?CDM based on the Akaike Information Criterion (?AIC ? 2). Furthermore, the Bayesian Information Criterion (BIC) finds moderate to strong evidence against the extensions (4 ' ?BIC ? 7.5) due to the penalty on model complexity. We conclude that while current precision data accommodate late-time torsional modifications to gravity, the standard ?CDM model remains a statistically sufficient and more parsimonious description of the cosmic expansion when considering the full evolutionary history. 2026 Elsevier B.V. -
New developments in the study of parity signed graphs
A signed graph has all its edges signed with either negative or positive signs. Parity signed graphs are generated from the integer labeling of the vertices of a graph. An edge gets a positive sign if its end vertices are of the same parity and gets a negative sign if its end vertices are of the opposite parity. Signed graphs which admit parity labeling can be characterized. All parity signed graphs are balanced but not the converse. 2020 Author(s). -
New discrete trigonometric distributions: estimation with application to count data
In this research, we contribute to the development of original discrete distributions for count data analysis. We elaborate four new and different discrete trigonometric distributions with two parameters based on a discretization of the so-called sin-Weibull, cos-Weibull, tan-Weibull, and type II tan-Weibull distributions. We investigate the advantages of the proposed distributions and their trigonometric nature for capturing count data. In particular, some fundamental distributional properties of the discrete sin-Weibull distribution are derived. Subsequently, we turn it into a statistical model. Parameter estimation by the maximum likelihood and proportion of zeros and ones methods are then discussed. A simulation study is carried out to evaluate some frequentist properties of the developed methodology. As the study focuses mainly on the practical aspect, the applicability of the proposed models is evaluated using real-count datasets from various fields. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
New discrete trigonometric distributions: estimation with application to count data
In this research, we contribute to the development of original discrete distributions for count data analysis. We elaborate four new and different discrete trigonometric distributions with two parameters based on a discretization of the so-called sin-Weibull, cos-Weibull, tan-Weibull, and type II tan-Weibull distributions. We investigate the advantages of the proposed distributions and their trigonometric nature for capturing count data. In particular, some fundamental distributional properties of the discrete sin-Weibull distribution are derived. Subsequently, we turn it into a statistical model. Parameter estimation by the maximum likelihood and proportion of zeros and ones methods are then discussed. A simulation study is carried out to evaluate some frequentist properties of the developed methodology. As the study focuses mainly on the practical aspect, the applicability of the proposed models is evaluated using real-count datasets from various fields. 2024 Informa UK Limited, trading as Taylor & Francis Group.