Plasticity in older infants' perception of phonetic contrasts: The role of selective attention in context.

Developmental plasticity refers to conditions and circumstances that increase phenotypic variability. In infancy, plasticity expands and contracts depending on domains of functioning, developmental history, and timing. In terms of language processing, infants attend to and discriminate both native and non-native phonetic contrasts, but selectively attune to their native phonemes by the end of the first postnatal year.

Talent management of library and information science professionals: A review of research and future directions.

Background: This study aims to review the extant literature on talent management with the objective of influencing library and information management by addressing the key facets of talent management, such as talent management strategies, importance of career development, evaluation of talented employees, and organizational resilience.

Methodology: Literature on the development of talent and career management was retrieved from various scholarly papers indexed in Scopus and Web of Science to have a meticulous literature review serving as the platform of the present study. In light of the authors' observations, two models were developed.

Utilizing online reviews for analyzing digital healthcare consultation services: Examining perspectives of both healthcare customers and healthcare professionals.

Introduction: Digital healthcare consultation services, also known as telemedicine, have seen a surge in their usage, especially after the COVID-19 pandemic. The purpose of this study is to investigate the satisfaction determinants of healthcare customers (patients) and healthcare professionals (doctors), providing digital healthcare consultation services.

Methods: The analysis involved scraping online reviews of 11 telemedicine apps meant for patients and 7 telemedicine apps meant for doctors, yielding a total of 44,440 patient reviews and 4748 doctor reviews.

Optimizing Glioblastoma, IDH-wildtype Treatment Outcomes : A Radiomics and Support Vector Machine-Based Approach to Overall Survival Estimation.

Objective: Glioblastoma multiforme (GBM), particularly the isocitrate dehydrogenase (IDH)-wildtype type, represents a significant clinical challenge due to its aggressive nature and poor prognosis. Despite advancements in medical imaging and its modalities, survival rates have not improved significantly, demanding innovative treatment planning and outcome prediction approaches.

Methods: This study utilizes a support vector machine (SVM) classifier using radiomics features to predict the overall survival (OS) of GBM, IDH-wildtype patients to short (<12 months) and long (≥12 months) survivors.

Do bitcoin electricity consumption and carbon footprint exhibit random walk and bubbles? Analysis with policy implications.

One of the main current focuses of global economies and decision-makers is the efficiency of energy utilization in cryptocurrency mining and trading, along with the reduction of associated carbon emissions. Understanding the pattern of Bitcoin's energy consumption and its bubble frequency can greatly enhance policy analysis and decision-making for energy efficiency and carbon emission reduction. This research aims to assess the validity of the random walk hypothesis for Bitcoin's electricity consumption and carbon footprint.

Antecedents and consequents of circular economy adoption: A meta-Analytic Investigation.

This paper aims to integrate and empirically assess the antecedents and consequents of circular economy (CE) adoption to remove ambiguity existing in the literature and clarify divergent views. This study uses meta-analysis methodology to validate the research framework, considering 106 empirical studies with 210 effect sizes. Based on these studies, we establish twelve antecedents and three consequents related to CE.

Beyond profit margins: Orchestrating social, economic, and environmental sustainability within the Norwegian Salmon Food Supply Chain.

Food Supply Chains (FSCs) have become increasingly complex with the average distance between producers and consumers rising considerably in the past two decades. Consequently, FSCs are a major source of carbon emissions and reducing transportation costs a major challenge for businesses. To address this, we present a mathematical model to promote the three core dimensions of sustainability (economic, environmental, and social), based on the Mixed-Integer Linear Programming (MILP) method.

Detection and disclosure of workplace mental health challenges: an exploratory study from India.

Workplace mental health challenges have emerged as a significant concern post-pandemic. Despite this, the pervasive stigma surrounding mental illness leads to the concealment of symptoms and reluctance to seek professional help among employees. This study aims to explore the perception of different stakeholders towards the 'Detection and disclosure' of workplace mental health challenges in the Indian context.

Role of visual brainwave entrainment on the resting state brainwaves of children with and without attention-deficit/hyperactivity disorder.

The relationship between brainwave oscillations and Attention-Deficit/Hyperactivity Disorder (ADHD)-related cognitive challenges is a trending proposition in the field of Cognitive Neuroscience. Studies suggest the role of brainwave oscillations in the symptom expressions of ADHD-diagnosed children. Intervention studies have further suggested the scope of brain stimulation techniques in improving cognition.

The moderating effects of perceived social worth and organizational virtuousness on the relationship between emotional labor, precarious work, and organizational commitment among ASHA workers in India.

Accredited Social Health Activists (ASHAs) in India are the subjects of this study, which explores the complex relationships between emotional labor (EL) and unstable work environments and how these relationships affect organizational commitment (OC). The study also looked at how organizational virtuousness (OV) and perceived social value mediated the relationship between precarious work (PW), EL, and OC. This study included a total sample size of N = 467 ASHA personnel from a variety of healthcare settings.

Statistical Methods for Best and Worst Eye Measurements.

Introduction: The focus is often on the best and worst eyes to detect early predictive and non-invasive biomarkers of diabetic retinopathy. Typically, such data have been dealt with in a case-control setting, which applies two-sample tests and ignores the correlation between the fellow eyes. Practitioners are mostly unaware that such measurements hide the labels of the fellow eyes, which rules out standard tools, such as paired or signed-rank tests.

Ambient air pollution and daily mortality in ten cities of India: a causal modelling study.

Background: The evidence for acute effects of air pollution on mortality in India is scarce, despite the extreme concentrations of air pollution observed. This is the first multi-city study in India that examines the association between short-term exposure to PM and daily mortality using causal methods that highlight the importance of locally generated air pollution.

Methods: We applied a time-series analysis to ten cities in India between 2008 and 2019.

Estimating prevalence of post-war health disorders using multiple systems data.

Effective surveillance on the long-term public health impact due to war and terrorist attacks remains limited. Such health issues are commonly under-reported, specifically for a large group of individuals. For this purpose, efficient estimation of the size or undercount of the population under the risk of physical and mental health hazards is of utmost necessity.

A new hybrid machine learning model for predicting the renewal life of patents.

In almost every country, patents need to be renewed multiple times after they are granted. A patentee assesses the value of the patent and then pays a renewal fee to keep it active for another stipulated period. The factors that characterize the value of a patent is subjective.

Travel bubble policies for low-risk air transport recovery during pandemics.

Global pandemics restrict long-haul mobility and international trade. To restore air traffic, a policy named "travel bubble" was implemented during the recent COVID-19 pandemic, which seeks to re-establish air connections among specific countries by permitting unrestricted passenger travel without mandatory quarantine upon arrival. However, travel bubbles are prone to bursting for safety reasons, and how to develop an effective restoration plan through travel bubbles is under-explored.

The role of green growth and institutional quality on environmental sustainability: A comparison of CO emissions, ecological footprint and inverted load capacity factor for OECD countries.

Green growth is of great importance in terms of solving environmental problems and achieving sustainable development goals. However, the existing literature has not investigated how green growth affects environmental degradation and environmental sustainability variables. In light of this gap, this study aims to analyse the impact of green growth and institutional quality on CO emissions, ecological footprint and inverse load capacity factor in OECD countries by constructing three different models.

Towards sustainable resource management: A short and long-run dynamics of mineral production on ecological footprint.

The effect of mineral production on ecological footprint is examined in this study while controlling for economic growth, renewable energy consumption, and trade openness as additional determinants for Pakistan. On the empirical front, the study uses the "Dynamic Autoregressive Distributed Lag (DYNARDL)" simulations for the data collected between 1990 and 2021. The result portrays movement to the long-run equilibrium relationship when considering the ecological footprint as the outcome variable amidst mineral production, economic growth, renewable energy consumption, and trade openness as the covariates.

From unstructured accident reports to a hybrid decision support system for occupational risk management: The consensus converging approach.

Introduction: Workplace accidents in the petroleum industry can cause catastrophic damage to people, property, and the environment. Earlier studies in this domain indicate that the majority of the accident report information is available in unstructured text format. Conventional techniques for the analysis of accident data are time-consuming and heavily dependent on experts' subject knowledge, experience, and judgment.

Geopolitical risk and firm-level environmental, social and governance (ESG) performance.

This study investigates the impact of geopolitical risk on firm-level environmental, social, and governance (ESG) performance. Using a news-based indicator of geopolitical risk across 41 countries and a comprehensive dataset spanning from 2002 to 2021 with 65,354 firm-year observations, we uncover that geopolitical risk is negatively associated with ESG performance. Our findings remain robust even when considering alternative measures of geopolitical risk, ESG components, and sub-samples.

Determinants of public institutional births in India: An analysis using the National Family Health Survey (NFHS-5) factsheet data.

Background: Institutional births ensure deliveries happen under the supervision of skilled healthcare personnel in an enabling environment. For countries like India, with high neonatal and maternal mortalities, achieving 100% coverage of institutional births is a top policy priority. In this respect, public health institutions have a key role, given that they remain the preferred choice by most of the population, owing to the existing barriers to healthcare access.

Analyzing the effectiveness of energy aid for driving the transition towards energy decarbonization; Evidence from Asian developing countries.

Environmental degradation poses a significant challenge in many developing countries, as they heavily rely on fossil fuels to drive economic activities. The transition towards renewable energy is crucial to mitigate ecological depletion, yet numerous Asian developing countries may struggle to achieve the desired levels of renewable energy adoption due to financial constraints. Foreign aid in the energy sector can expedite this transition process.

Implications of circular economy, digitalization and technological innovation to achieve sustainable environmental goal: Pre and post-vision 2030.

The current study contributes to the existing literature by constructing a digitalization index to investigate the significance of digitalization in controlling the environmental footprint. Moreover, the dataset is divided into pre-Vision 2030 and post-Vision 2030 implementation to scrutinize the progress of Saudi Vision 2030 to counter the environmental challenges. Vision 2030 is a strategic framework to reduce Saudi Arabia's dependence on oil, diversify its economy, and develop public service sectors such as health, education, infrastructure, recreation, and tourism.

Waiting for Care and Community Organizing for Serious Health-Related Suffering in Kerala, India.

We explore the temporalities that shape and alleviate serious health-related suffering among those with chronic and terminal conditions in Kerala, India. Drawing on ethnographic fieldwork between 2009 and 2019, we examine the entanglements between waiting for care within dominant institutions and the community organizing that palliates this waiting. Specifically, people navigate multiple medical institutions, experience loneliness and abandonment, loss of autonomy, and delays and denials of recognition as they wait for care.