bluuebunny/crossref_metadata_2025_split huggingface dataset:
Timing and location of speech errors induced by direct cortical stimulation
Authors: Kabakoff Heather , Yu Leyao , Friedman Daniel , Dugan Patricia , Doyle Werner K , Devinsky Orrin , Flinker Adeen 
Published: September 2023

AbstractCortical regions supporting speech production are commonly established using neuroimaging techniques in both research and clinical settings. However, for neurosurgical purposes, structural function is routinely mapped peri-operatively using direct electrocortical stimulation. While this method is the gold standard for identification of eloquent cortical regions to preserve in neurosurgical patients, there is lack of specificity of the actual underlying cognitive processes being interrupted. To address this, we propose mapping the temporal dynamics of speech arrest across peri-sylvian cortices by quantifying the latency between stimulation and speech deficits. In doing so, we are able to substantiate hypotheses about distinct region-specific functional roles (e.g., planning versus motor execution). In this retrospective observational study, we analyzed 20 patients (12 female; age range 14-43) with refractory epilepsy who underwent continuous extra-operative intracranial EEG monitoring of an automatic speech task during clinical bedside language mapping. Latency to speech arrest was calculated as time from stimulation onset to speech arrest onset, controlling for individual speech rate.Most instances of motor-based arrest (87.5% of 96 instances) were in sensorimotor cortex with mid-range latencies to speech arrest with a distributional peak at 0.47 seconds. Speech arrest occurred in numerous regions, with relatively short latencies in supramarginal gyrus (0.46 seconds), superior temporal gyrus (0.51 seconds), and middle temporal gyrus (0.54 seconds), followed by relatively long latencies in sensorimotor cortex (0.72 seconds) and especially long latencies in inferior frontal gyrus (0.95 seconds). Nonparametric testing for speech arrest revealed that region predicted latency; latencies in supramarginal gyrus and in superior temporal gyrus were shorter than in sensorimotor cortex and in inferior frontal gyrus. Sensorimotor cortex is primarily responsible for motor-based arrest. Latencies to speech arrest in supramarginal gyrus and superior temporal gyrus (and to a lesser extent middle temporal gyrus) align with latencies to motor-based arrest in sensorimotor cortex. This pattern of relatively quick cessation of speech suggests that stimulating these regions interferes with the outgoing motor execution. In contrast, the latencies to speech arrest in inferior frontal gyrus and in ventral regions of sensorimotor cortex were significantly longer than those in temporoparietal regions. Longer latencies in the more frontal areas (including inferior frontal gyrus and ventral areas of precentral gyrus and postcentral gyrus) suggest that stimulating these areas interrupts a higher-level speech production process involved in planning. These results implicate the ventral specialization of sensorimotor cortex (including both precentral and postcentral gyri) for speech planning above and beyond motor execution.
Genome analysis and hyphal movement characterization of the hitchhiker endohyphalEnterobactersp. fromRhizoctonia solani
Authors: Zhang Peiqi , Huguet-Tapia Jose , Peng Zhao , Obasa Ken , Block Anna K. , White Frank F 
Published: September 2023

AbstractBacterial-fungal interactions are pervasive in the rhizosphere. While an increasing number of endohyphal bacteria (EHB) have been identified, little is known about their ecology and impact on the associated fungal hosts and the surrounding environment. In this study, we characterized the genome of anEnterobactersp. (En-Cren) isolated from the generalist fungal pathogenRhizoctonia solani. Overall, the En-Cren genome size was typical for members of the genus and was capable of free-living growth. The genome was 4.6 MB in size, and no plasmids were detected. Several prophage regions and genomic islands were identified that harbor unique genes in comparison with phylogenetically closely relatedEnterobacterspp. Type VI secretion system and cyanate assimilation genes were identified from the bacterium, while common heavy metal resistance genes were absent. En-Cren contains the key genes for indole-3-acetic acid (IAA) and phenylacetic acid (PAA) biosynthesis, and produces IAA and PAAin vitro, which may impact the ecology or pathogenicity of the fungal pathogenin vivo. En-Cren was observed to move along hyphae ofR. solaniand on other basidiomycetes and ascomycetes in culture. The bacterial flagellum is essential for hyphal movement, while other pathways and genes may also be involved.ImportanceThe genome characterization and comparative genomics analysis of En-Cren provided the foundation and resources for a better understanding of the ecology and evolution of this EHB in the rhizosphere. The ability to produce IAA and PAA may provide new angles to study the impact of phytohormones during the plant-pathogen interactions. The hitchhiking behavior of the bacterium on a diverse group of fungi, while inhibiting the growth of some others, revealed new areas of bacterial-fungal signaling and interaction yet to be explored.
A novel approach to increase glial cell populations in brain microphysiological systems
Authors: Pantoja Itzy E. Morales , Ding Lixuan , Leite Paulo E. C. , Marques Suelen A. , Romero July Carolina , Din Dowlette-Mary Alam El , Zack Donald J. , Chamling Xitiz , Smirnova Lena 
Published: September 2023

AbstractBrain microphysiological systems (bMPS), which recapitulate human brain cellular architecture and functionality more closely than traditional monolayer cultures, have become a practical, non-invasive, and increasingly relevant platform for the study of neurological function in health and disease. These models include 3D spheroids and organoids as well as organ-on-chip models. Currently, however, existing 3D brain models vary in reflecting the relative populations of the different cell types present in the human brain. Most of the models consist mainly of neurons, while glial cells represent a smaller portion of the cell populations. Here, by means of a chemically defined glial-enriched medium (GEM), we present an improved method to expand the population of astrocytes and oligodendrocytes without compromising neuronal differentiation in bMPS. An important finding is that astrocytes not only increased in number but also changed in morphology when cultured in GEM, more closely recapitulating primary culture astrocytes. We demonstrate oligodendrocyte and astrocyte enrichment in GEM bMPS using a variety of complementary methods. We found that GEM bMPS are electro-chemically active and showed different patterns of Ca+2staining and flux. Synaptic vesicles and terminals observed by electron microscopy were also present. No significant changes in neuronal differentiation were observed by gene expression, however, GEM enhanced neurite outgrowth and cell migration, and differentially modulated neuronal maturation in two different iPSC lines. Our results have the potential to significantly improve in vivo-like functionality of bMPS for the study of neurological diseases and drug discovery, contributing to the unmet need for safe human models.
Impact of Smoking Cessation on Cardiovascular Outcomes: A Systematic Review
Authors: Nabi Husain Mahato Gulam Husain , Brijeshkumar Upadhyay Ronak , Agarwal Abhimanyu , Manishbhai Patel Dhwani , Ghotra Monica , Panjiyar Binay K 
Published: September 2023

AbstractSmoking cessation decreases the chances of cardiovascular disease (CVD) and improves medical outcomes in public health. Cessation of smoking is associated with many important health and quality of life benefits. The use of withdrawal medications is recommended to increase the probability of cessation. However, there is a longstanding and growing concern that smoking cessation treatments may increase the risk of cardiovascular events during the cessation period. The purpose of this study is to specifically assess the importance of smoking cessation and the use of smoking cessation treatments for their effects on cardiovascular outcomes, including lipid profiles, coronary artery disease, peripheral vascular disease, carotid atherosclerosis, intimal thickness, and body mass index. weight changes. Cardiovascular disease (CVD) is a major public health problem, and smoking cessation has been shown to be an effective strategy for reducing CVD risk and improving overall health outcomes. Smoking cessation medications and therapies are recommended to increase your chances of successful cessation of smoking. However, concerns have been raised about a potential transient increase in cardiovascular events associated with smoking cessation treatment during the cessation period. The aim of this systematic review is to find out the effects of smoking cessation and smoking cessation treatment on various cardiovascular outcomes. This systematic review provides valuable information about smoking, the application of smoking cessation therapies, and their effects on cardiovascular disease.
The interplay between splicing of exons 18a and 47 differentially affects membrane targeting and function of human CaV2.2
Authors: Dahimene Shehrazade , Page Karen M , Nieto-Rostro Manuela , Pratt Wendy S , Dolphin Annette C 
Published: September 2023

AbstractN-type calcium channels (CaV2.2) are predominantly localized in presynaptic terminals, and are particularly important for pain transmission in the spinal cord. Furthermore, they have multiple isoforms, conferred by alternatively-spliced or cassette exons, which are differentially expressed. Here we have examined alternatively-spliced exon47 variants that encode a long or short C-terminus in human CaV2.2. In theEnsembldatabase, all short exon47-containing transcripts were associated with the absence of exon 18a, therefore we also examined effect of inclusion or absence of exon18a, combinatorially with the exon47 splice variants. We found that long exon47, only in the additional presence of exon18a, results in CaV2.2 currents that have a 3.6-fold greater maximum conductance than the other three combinations. In contrast, cell surface expression of CaV2.2 in both tsA-201 cells and hippocampal neurons is increased ∼4-fold by long exon47 relative to short exon47, in either the presence or absence of exon18a. This surprising discrepancy between trafficking and function indicates that cell surface expression is enhanced by long exon47, independently of exon 18a. However, in the presence of exon47, exon18a mediates an additional permissive effect on CaV2.2 gating. We also investigated the SNP in exon47 that has been linked to schizophrenia and Parkinson’s disease, which we found is only non-synonymous in the short exon47 C-terminal isoform, resulting in two minor alleles. This study highlights the importance of investigating the combinatorial effects of exon inclusion, rather than each in isolation, in order to increase our understanding of calcium channel function.Graphical abstract
MINSTED tracking of single biomolecules
Authors: Scheiderer Lukas , von der Emde Henrik , Hesselink Mira , Weber Michael , Hell Stefan W. 
Published: September 2023

AbstractWe show that MINSTED localization, a method whereby the position of a fluorophore is identified with precisely controlled beams of a STED microscope, tracks fluorophores and hence labeled biomolecules with nanometer/millisecond spatio-temporal precision. By updating the position for each detected photon, MINSTED recognizes fluorophore steps of 16 nm within < 250 microseconds using about 13 photons. The power of MINSTED tracking is demonstrated by quantifying side-steps of the motor protein kinesin-1 walking on microtubules and switching protofilaments.
Impact of social media influencers on consumers' well-being and purchase intention: a TikTok perspective
Authors: Jamil Raja Ahmed , Qayyum Urba , ul Hassan Syed Ramiz , Khan Tariq Iqbal 
Published: September 2023

PurposeExtending the elaboration likelihood model (ELM), this study investigates the impact of social media influencers (SMI) on consumer well-being (CW) as well as the influence of CW on purchase intention.Design/methodology/approachA between-subjects experiment (macro- vs mega-influencer) was conducted to assess the proposed hypotheses. A total of 190 consumers participated in the experiment, and SmartPLS 3.3 was used for multigroup analyses.FindingsOverall, argument quality (AQ), source's credibility (SC) and influencer's kindness positively predict CW, and CW predicts purchase intention. It was also found that SC is more important when information comes from a mega-influencer, whilst kindness is essential for a macro-influencer.Practical implicationsThe results of this study imply that CW should be an essential component of influencer marketing strategy. Marketing managers should hire credible and kind influencers who can produce quality arguments. Additionally, the selection of SMI (macro- vs mega-influencer) should be aligned with the marketing objective and type of persuasion required.Originality/valueThis is one of the early attempts to extend ELM by introducing influencer kindness as a peripheral cue. Moreover, the study offers novelty by examining the effects of influencer characteristics (AQ, SC and kindness) on CW and comparing these effects across macro- and mega-influencers.
Ethnic diversity in perceptions of discrimination among ten Asian American groups
Authors: Zainiddinov Hakim 
Published: September 2023

PurposeThe study examines the prevalence and correlates of perceived discrimination across ten Asian American ethnic groups. The goal is to disaggregate an artificially created broad categorization of Asians into subgroups to reveal the existing intragroup differences.Design/methodology/approachBivariate and multivariate analyses were based on data from the 2016 National Asian American Survey (NAAS). The exclusion of missing data on all variables used in the analysis revealed a final analytical sample size of 4,276.FindingsCompared to all other Asian American ethnic groups, Cambodians report the lowest frequency of perceived discrimination on all outcome measures. On the contrary, the prevalence of perceived discrimination is highest for Bangladeshis and Indians on lifetime and job-related discrimination and for Indians and Japanese on day-to-day discrimination. Nearly all Asian American ethnic groups are more likely to report one or more types of perceived discrimination than Chinese Americans. The observed relationships disappear for Cambodians, Pakistanis and Japanese but persist for Bangladeshis, Filipinos, Hmong and Indians after controlling for socio-demographic characteristics. Among the socio-demographic controls, gender, birthplace, education and employment status are found to be significant predictors of perceived discrimination.Originality/valueThe findings of the study further the discussion on the importance of disaggregating minority groups and considering their heterogeneous experiences of perceptions of discrimination in the United States.
Unlocking SME success: optimizing capability development amidst dynamic market conditions in emerging economies
Authors: Anning-Dorson Thomas 
Published: September 2023

Purpose
The business landscapes in Asia and Africa are predominantly characterized by small and medium enterprises (SMEs) facing significant resource constraints. Understanding the capability dynamics of these enterprises in such contexts carries significant implications for theory and practice. This paper aims to addresses a crucial question of whether increasing customer involvement capability consistently yields the necessary rent for enterprises operating under resource constraints in emerging markets in Asia and Africa. By investigating this question, the paper offers SMEs a more nuanced approach to capability development, enabling them to achieve better returns on their investments.

Design/methodology/approach
To ensure the robustness of the findings, data were collected from SME service firms operating in two emerging economies: India (Asia) and Ghana (Africa). Data were collected in two waves to allow for catering to specific environmental conditions not accounted for in the study. Two-stage data analysis was then conducted to test the hypothesized relationships across the two countries.

Findings
The findings reveal that customer involvement capability does not always lead to an increase in firm-level competitiveness, and the effect follows an inverted U-shaped pattern. However, the nature of this relationship varies under different market conditions in both contexts. Specifically, in periods of low customer demand and intense competition, the relationship is linear and positive. On the other hand, in periods of high demand and competition, the relationship becomes inverted U-shaped, returning to a direct relationship with firm-level competitiveness.

Originality/value
This paper provides a resolution to the critical issue of whether customer involvement capability consistently delivers firm performance benefits, particularly for resource-constrained SMEs in emerging markets. By explaining how SMEs in emerging markets can fully capitalize on their capability development to optimize their resources, this paper makes a distinctive contribution. Moreover, it sheds light on the importance of aligning involvement capabilities with prevailing market conditions for SMEs to reap the maximum benefits.
A research method for locating community healthcare facilities in Italy: how to guarantee healthcare for all
Authors: Gola Marco , Fior Marika , Arruzzoli Stefano , Galuzzi Paolo , Capolongo Stefano , Buffoli Maddalena 
Published: September 2023

PurposeThe new Italian National Recovery and Resilience Plan (NRRP) has prioritised a new healthcare model that will establish the additional community healthcare facilities (CHFs). The paper proposes a methodology for supporting decision-making on location of the future facilities according to new parameters that consider how proximity to healthcare benefits communities. Rethinking the spatial parameters for locating future CHFs, focusing on fragile areas, creates a novel decision support system.Design/methodology/approachThe methodology is based on multifactor analysis and on geographic information system (GIS) mapping to simulate the potential and risks associated with the proposed location of CHFs, focusing on territorial contexts of metropolitan cities, medium-sized cities, and Inner Areas, characterized by different fragilities. This method aims to innovate urban planning practices by updating the practice of per-capita urban planning standards and promoting implementation of the 15-minute city model.FindingsThe method defines new spatial parameters useful to inform the appropriate location of CHFs in Italy's Inner Areas. This offers a new integrated approach to spatial design mixing urban planning and healthcare dimensions.Originality/valueThe methodology will bring about an integrated urban planning approach, which guides both transformative urban choices and health services' implementation according to the needs of communities.
An international study of early-stage entrepreneurship using global entrepreneurship monitor data
Authors: Ndofirepi Takawira Munyaradzi , Steyn Renier 
Published: September 2023

PurposeThe goal of this study is to identify and validate some selected determinants of early-stage entrepreneurial activity (ESEA) by assessing the impact of entrepreneurial knowledge and skills (EK&S), fear of failure (FoF), the social status of entrepreneurs (SSE) and entrepreneurial intentions (EI) on ESEA.Design/methodology/approachThe study utilised cross-sectional data gathered by the Global Entrepreneurship Monitor (GEM) team from 49 countries, with a total of 162,077 respondents. The data analyses involved correlation, simple regression and path analyses, with a specific focus on testing for mediated and moderated effects. To complement the statistical analyses, fuzzy-set qualitative comparative analysis was also employed.FindingsThe path analysis revealed EK&S as primary drivers of EI and ESEA. Also, EK&S moderated the effects of FoF on EI, and the inclusion of EI improved the model significantly. The fuzzy-set qualitative comparative analysis result showed that the presence of EI, EK&S, FoF and SSE were sufficient but not necessary conditions for ESEA.Practical implicationsThe tested model demonstrates the importance of EK&S and EI, as well as the need to mitigate the effects of the fear factor in promoting entrepreneurial activity. As such, the support of EK&S programmes seems justifiable.Originality/valueThe findings of this study provide a deeper insight into the intricate relationships that underlie entrepreneurial activity by utilising a combination of data analysis techniques.
Optimization of the extraction of phenolic compounds from the leaves of yerba mate (Ilex paraguariensis) through high hydrostatic pressure system using mixture design with process variables
Authors: da Silva Natallya Marques , Bona Evandro , Cardozo‐Filho Lucio , Oliveira Santos Oscar , Heck Stênio Cristaldo , Beneti Stéphani Caroline , Feihrmann Andresa Carla 
Published: September 2023

AbstractIn this study, a mixture design with process variables was used to optimize the extraction of total phenolic compounds (TPC) from yerba mate leaves through high hydrostatic pressure extraction. The studied variables were pressure (50, 100, and 150 MPa), extraction time (10, 20, and 30 min), and solvent (water, glycerin, and 50% v/v water/50% v/v glycerin). The multiple linear regression model presented an excellent fit (R2 adjusted of 0.9792) and demonstrated the major influence of glycerin content on the water/glycerin mixture solvent for TPC extraction. Optimal process conditions obtained were 69% v/v water, 31% v/v glycerin, 50 MPa pressure, and 10 min time.Practical ApplicationThe paper describes a novel extraction method to obtain phenolic compounds from yerba mate (compounds that can replace synthesized antioxidants in the food industry) using high hydrostatic pressure and environmentally friendly solvents. The extraction process was studied to optimize its performance, obtaining more phenolic compounds from the same amount of yerba mate.
Allelic bias when performing in‐solution enrichment of ancient human DNA
Authors: Davidson Roberta , Williams Matthew P. , Roca‐Rada Xavier , Kassadjikova Kalina , Tobler Raymond , Fehren‐Schmitz Lars , Llamas Bastien 
Published: September 2023

AbstractIn‐solution hybridisation enrichment of genetic variation is a valuable methodology in human paleogenomics. It allows enrichment of endogenous DNA by targeting genetic markers that are comparable between sequencing libraries. Many studies have used the 1240k reagent—which enriches 1,237,207 genome‐wide SNPs—since 2015, though access was restricted. In 2021, Twist Biosciences and Daicel Arbor Biosciences independently released commercial kits that enabled all researchers to perform enrichments for the same 1240 k SNPs. We used the Daicel Arbor Biosciences Prime Plus kit to enrich 132 ancient samples from three continents. We identified a systematic assay bias that increases genetic similarity between enriched samples and that cannot be explained by batch effects. We present the impact of the bias on population genetics inferences (e.g. Principal Components Analysis, ƒ‐statistics) and genetic relatedness (READ). We compare the Prime Plus bias to that previously reported of the legacy 1240k enrichment assay. In ƒ‐statistics, we find that all Prime‐Plus‐generated data exhibit artefactual excess shared drift, such that within‐continent relationships cannot be correctly determined. The bias is more subtle in READ, though interpretation of the results can still be misleading in specific contexts. We expect the bias may affect analyses we have not yet tested. Our observations support previously reported concerns for the integration of different data types in paleogenomics. We also caution that technological solutions to generate 1240k data necessitate a thorough validation process before their adoption in the paleogenomic community.