bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neural Encoding of Semantic Structures During Sentence Production
Authors: Giglio Laura , Hagoort Peter , Ostarek Markus 
Published: November 2024

AbstractThe neural representations for compositional processing have so far been mostly studied during sentence comprehension. In an fMRI study of sentence production, we investigated the brain representations for compositional processing during speaking. We used a rapid serial visual presentation sentence recall paradigm to elicit sentence production from the conceptual memory of an event. With voxel-wise encoding models, we probed the specificity of the compositional structure built during the production of each sentence, comparing an unstructured model of word meaning without relational information with a model that encodes abstract thematic relations and a model encoding event-specific relational structure. Whole-brain analyses revealed that sentence meaning at different levels of specificity was encoded in a large left fronto-parieto-temporal network. A comparison with semantic structures composed during the comprehension of the same sentences showed similarly distributed brain activity patterns. An ROI analysis over left fronto-temporal language parcels showed that event-specific relational structure above word-specific information was encoded in the left inferior frontal gyrus (LIFG). Overall, we found evidence for the encoding of semantic meaning during sentence production in a distributed brain network and for the encoding event-specific semantic structures in the LIFG.
Optogenetic stimulation of a cortical biohybrid implant guides goal directed behavior
Authors: Brown Jennifer , Zappitelli Kara M. , Dawson Paul M. , Yoon Eugene , Schiraga Seton A. , Rochford Amy E. , Eltaeb Mohamed , Rodriguez Arturo , Kong Yifan , Hodak Max , Mardinly Alan R. 
Published: November 2024

AbstractBrain-computer interfaces (BCIs) hold exciting therapeutic potential, but tissue damage caused by probe insertion limits channel count. Biohybrid devices, in which the cell-device interface is crafted in the laboratory, hold promise to address this limitation, but these devices have lacked a demonstration of their applicability for BCI. We developed a biohybrid approach to engraft optogenetically-enabled neurons on the cortical surface housed in a 2D-scaffold of circular microwells. The engrafted neurons survived, exhibited spontaneous activity, and integrated with the host brain several weeks after implantation. We then trained mice with biohybrid implants to perform an optical stimulation task and showed that they could effectively report optogenetic stimulation of their neural graft. This demonstration shows that a cortical biohybrid implant can be used to transmit information to the brain of an implanted animal.
Reprogramming the genome of M13 bacteriophage for all-in-one personalized cancer vaccine
Authors: Huang Shengnan , He Yanpu , Madow Allison , Peng Huaiyao , Griffin Mirielle , Qi Jifa , Huang Mantao , Amoroso Heather , Abrashoff Riley , Heldman Nimrod , Belcher Angela M. 
Published: November 2024

AbstractPeptide-based vaccines face limitations in immunogenicity and stability, and challenges in co-delivering antigens and adjuvants effectively. Virus-based nanoparticles, particularly M13 bacteriophage, present a promising solution due to their genetic modifiability, intrinsic adjuvanticity, and efficient antigen presentation capabilities. Here we developed a programmable M13 phage-based personalized cancer vaccine enabling single-step antigen-adjuvant assembly. Specifically, we designed a reprogrammed (RP) phage platform that precisely regulates Toll-like receptor 9 activation by programming its genome sequence and modulates antigen density through genetic engineering. Vaccination studies with RP phages demonstrated that the immune response could be modulated by fine-tuning the adjuvanticity and antigen density, revealing an optimal antigen dose and adjuvanticity for maximum vaccine efficacy. The RP phage induced a remarkable 24-fold increase in neoantigen-specific CD8+T cells and eradicated established MC-38 tumors when combined with anti-PD-1 therapy. These findings highlight the RP phage’s potential as a powerful nanovaccine platform for personalized cancer vaccines.
Six-legged-bound: a newly-described insect gait
Authors: Amir A. , Yuval O. , Ayali A. 
Published: November 2024

AbstractLocomotor behavior is a hallmark of animal biology and ecology. Mole crickets constitute a unique group of subterranean insects that present an exceptional model for locomotion-related research. In response to an aversive stimulus from the front, the mole cricket will consistently adopt a unique backwards gait that we have termed backward-bound. This never before reported six-legged gait comprises a cyclic alternation between the middle and hind-leg pairs with left-right in-phase synchronization, while the front legs display noisy and less consistent phase dynamics. This exceptional gait is transient and is usually expressed for up to a dozen cycles. It is employed to distance the animal quickly away from danger. A gait that can be characterized as “forward-bound” is also displayed by the mole cricket, albeit for a much shorter duration (up to two cycles).
Chlamydia trachomatisgenomes from rectal samples: description of new clade comprisingompA-genotype L4 from Argentina
Authors: Büttner Karina Andrea , Wegner Fanny , Bregy Vera , Entrocassi Andrea Carolina , Gallo Vaulet María Lucía , Aquino Deysi López , La Rosa Luciana , Svidler López Laura , Puolakkainen Mirja H , Hiltunen-Back Eija , Imkamp Frank , Egli Adrian , Seth-Smith Helena MB , Rodríguez Fermepin Marcelo 
Published: November 2024

AbstractWhole genome analysis has provided us with insights into the evolution ofChlamydia trachomatisand recently into circulating strains which cause lymphogranuloma venereum (LGV). A large LGV outbreak of a newompA-genotype, L2b, was first reported in Europe in the early 2000s, primarily affecting men who have sex with men (MSM), and then expanded globally. More recent work shows this outbreak diversifying into variants of describedompA-genotypes, with the same L2b genomic backbone. This study extends the investigation of LGV cases to Argentina and Finland. In 2017, an LGV outbreak was described in Argentina characterized by distinct genomic features shown by bothompA-genotyping and MLST analysis. We have obtained whole genome sequences from cultured isolates and clinical samples via SureSelect (Agilent) target enrichment. Based onompAand phylogenetic analyses, we describe further diversity within theompA-genotype L2b clade, illustrating the transmission dynamics in both Argentina and Finland. A key finding is that of a novel clade of Argentinian samples, characterised by a proposed newompA-genotype L4. Additionally, we present the genome sequence of a non-LGV strain associated with anorectal proctitis. These findings contribute to the investigation of LGV evolution, particularly with the presence of the novel L4 lineage, and provide insights into genomic diversity and transmission dynamics ofC. trachomatis.Graphical AbstractImpact statementThe phylogeny ofC. trachomatishas been described in several publications and has been clear for a decade. The evolution of this STI in the intervening years also informs a great deal about the transmission opportunities and selective pressures that the intracellular bacterium is under. Through genome sequencing, also directly from clinical samples, we provide the first LGV genomes from Argentina and Finland, and describe further evidence of global circulation of theompA-genotype L2b lineage. We describe a fully novel lineage of LGVC. trachomatis, from Argentina, proposed asompA-genotype L4. We also find evidence of a strain causing proctitis from the urogenital lineage. Together, these provide significant new findings in the investigation ofC. trachomatis.Data summaryAll illumina sequence data, with human read data removed using Hostile (1) and KrakenTools (https://github.com/jenniferlu717/KrakenTools), is deposited with the European Nucleotide Archive (ENA) under project number PRJEB72167.
Innervation density governs crosstalk of GPCR-based norepinephrine and dopamine sensors
Authors: López Ricardo C. , Noble Natalie , Özçete Özge D. , Cai Xintong , Handy Gillian E. , Andersen Jonathan W. , Patriarchi Tommaso , Li Yulong , Kaeser Pascal S. 
Published: November 2024

SummaryGPCR-based fluorescent sensors are widely used to correlate neuromodulatory signaling with brain function. While experiments in transfected cells often reveal selectivity for individual neurotransmitters, sensor specificity in the brain frequently remains uncertain. Pursuing experiments in brain slices and in vivo, we find that norepinephrine and dopamine cross-activate the respective sensors. Non-specific activation occurred when innervation of the cross-reacting transmitter was high, and silencing of specific innervation was indispensable for interpreting sensor fluorescence.
Transcriptional Regulation of Neuropeptide Receptors Decodes Complexity of Peptidergic Modulation of Behavior and Physiology
Authors: Ryu SeungHeui , Wei Yanan , Wu Zekun , Lee DoHoon , Kim Woo Jae 
Published: November 2024

ABSTRACTThe modulation of complex behaviors in response to environmental and physiological contexts is a fundamental aspect of animal biology, with neuropeptides (NPs) playing a crucial role in this process. This study investigates the transcriptional regulation of neuropeptide receptors (NPRs) as a mechanism for context-dependent neuropeptidergic modulation of physiology and behavior. We hypothesize that the transcriptional control of NPR genes, rather than the NPs themselves, is a critical determinant in the context-dependent modulation of behavior and physiology. Using a multi-faceted approach, including comparative genomics, transcription factor network analysis, and empirical validation in model organisms such asDrosophila melanogaster, we reveal a complex regulatory landscape where NPR expression is tightly controlled. Our findings demonstrate that NPR genes exhibit a higher number of enhancers, CTCF-binding sites, and open chromatin regions compared to NP genes, suggesting a greater susceptibility to transcriptional modulation. This regulatory architecture allows for precise control over neuropeptidergic signaling, enabling dynamic and context-specific behavioral and physiological responses. Our results highlight the importance of NPR-expressing cells by transcriptional regulation in mediating the effects of NPs on behavior and physiology. We show that this regulation is conserved across species, indicating an evolutionarily significant mechanism for fine-tuning neuropeptidergic signaling. Furthermore, our study provides insights into the distinct regulatory mechanisms underlying the multifunctionality of NPs and their receptors, offering a novel perspective on the transcriptional control of complex behaviors. In conclusion, this study advances our understanding of neuropeptidergic signaling by focusing on the transcriptional regulation of NPRs. Our findings have broad implications for the development of therapeutic strategies targeting neuropeptidergic systems in various neurological and behavioral disorders.
Shaping a future research agenda across diverse knowledge spaces in architecture and urbanism – through the lens of Archnet-IJAR
Authors: Patil Madhavi P. , Salama Ashraf M. 
Published: November 2024

PurposeThe objective of this article is to articulate a research agenda in architecture and urbanism by reviewing the contributions to Archnet-IJAR: International Journal of Architectural Research from 2022 to 2024. The article aims to develop a robust classification into established, evolving and emerging knowledge spaces. Such a classification seeks to offer insights into the role Archnet-IJAR plays in shaping current and future global research trends in architecture and urbanism.Design/methodology/approachA combination of bibliometric and textual analysis was employed, utilising tools such as VosViewer and Infranodus to map thematic structures and research trends. The examined articles were categorised into established, evolving and emerging knowledge spaces to assess how the journal dynamically adapts to and reflects global shifts in architectural and urban discourse. This classification offers a strategic lens into the influence of Archnet-IJAR on research trajectories and shaping the future landscape of scholarship in architecture and urbanism.FindingsThe study identifies three primary areas of discourse: sustainability and resilience, technology and innovation, and community-centred design. Key trends include the rise of AI and smart technologies, the impact of the COVID-19 pandemic on design strategies, and the integration of SDGs into architectural education and practice. Established knowledge spaces such as urban morphology and cultural heritage remain foundational while evolving spaces such as sustainability and resilience are gaining prominence. Emerging spaces such as smart technologies and bioclimatic architecture appear to be the future trajectory of research in the field.Research limitations/implicationsThe study focuses on three years (2022–2024) of analysing Archnet-IJAR content within an overarching contextualisation over the past decade. However, this may not capture longer-term trends.Originality/valueThe study presents a critical classification of architectural and urban discourse, highlighting the evolving nature of the field in response to global challenges. The notion of the knowledge spaces as a unique conceptualisation that integrates various thematic areas is emphasised.
Expatriate staffing in foreign subsidiaries and host market contestability
Authors: Zajc Kejžar Katja , Golob Šušteršič Tina 
Published: November 2024

PurposeThis paper aims to study the decision of multinational enterprises (MNEs) whether to employ a host-country (HCN) or a parent-country national (PCN) manager in their subsidiaries, focusing on the role of host market contestability.Design/methodology/approachWe develop an empirical model for the probability of appointing a PCN manager in the population of all foreign-owned firms registered in Slovenia over a nine-year period. We combine four different micro databases: a matched employer–employee database, firm-level inward FDI data, firm-level outward FDI data and firm-level financial data, and apply a heteroskedastic probit model, a random effects probit estimator and a fixed effects panel data estimator. The final, fully merged database contains on average of about 28,000 firms per year.FindingsWe find that the propensity to appoint a PCN manager is higher in subsidiaries that compete with less-productive local rival firms in tacit knowledge-intensive industries with lower competition. The results also suggest that the likelihood of employing expatriates is higher in larger, younger and more export-oriented subsidiaries in less distant locations. In addition, cultural distance between the investing and host countries has been found to be more relevant than physical distance and to account for much of the differences between investors from different regions.Originality/valueAn important advantage of our paper is that we use comprehensive firm-level data on the entire population of firms operating in a host country, including both domestic and foreign-owned firms. This allows us to introduce a wide range of host-country market structure and local rival firm characteristics into our empirical model of the expatriation decision, which have not been previously tested. Additionally, we account for MNE heterogeneity in terms of investor origin, while controlling for investor country characteristics such as cultural, institutional and geographical distance from the host country.
Review of artificial intelligence applications in construction management over the last five years
Authors: Zhang Jingqi , Jiang Shaohua 
Published: November 2024

PurposeThis paper provides a thorough examination of the advancements and impacts of artificial intelligence (AI) on construction management (CM) over the past five years, particularly focusing on its role in mitigating prevalent challenges such as inefficiency and ensuring quality. By methodically reviewing and synthesizing the body of research conducted in this period, it underscores key contributions and breakthroughs in the application of AI within construction management (AICM). Additionally, the study aims to shed light on emerging trends and forecast future directions for technological innovation in the construction management sector.Design/methodology/approachGuided by the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework, this research conducts a bibliometric analysis of 176 relevant publications from the past five years. The analysis focuses on the adoption of AICM across three critical areas: construction equipment management, improvement of construction safety and construction cost optimization. Additionally, the study systematically identifies and examines 14 emerging themes within this domain, ensuring a comprehensive exploration aligned with PRISMA guidelines.FindingsThis manuscript summarizes recent research from the past five years in three key areas: construction equipment management, construction safety management and construction cost management within the realm of AICM. It identifies key gaps and outlines future research directions, including enhancing AI-driven equipment integration, developing sophisticated AI-based safety systems and optimizing cost management with advanced data analytics. These findings and directions are essential for steering the field toward greater digital innovation and sustainability.Originality/valueThis research provides a detailed analysis of the literature within the AICM domain, thoughtfully compiling significant findings and highlighting the importance of addressing user needs. The insights and recommendations shared aim to be beneficial for both academic researchers and industry professionals, contributing to the ongoing development of AICM as it moves toward a future characterized by digital innovation and sustainability.
Larsen & Toubro: constructing competencies and building the nation
Authors: Mital Amita , V. Krishnan , Mehta Yuvraj 
Published: November 2024

Learning outcomes
The following are the objectives of the case study: building and leveraging core competence, realizing the strategic advantage of incumbency and contribution to nation building as a business potential.

Case overview/synopsis
Larsen and Toubro (L&T) started as a trading company in 1938. By 2023 L&T was a mammoth infrastructure company with a market cap INR 4,750bn operating 800–1,000 projects in engineering and construction at any point in time. It also worked in the domain of hydrocarbons, power and heavy engineering including defence engineering, financial services and development projects supported by technology. The company went through several phases of environmental disruptions in the form of the Second World War and India’s independence, which brought several opportunities for growth. L&T built competencies to leverage these opportunities, which also contributed to the nation building efforts in India. In 2023, several changes were occurring in the ecosystem in the form of energy changes, sustainability becoming a way of life and digitalization impacting every aspect of business. The managing director and chief executive officer Mr S.N. Subrahmanyan reiterated the need to focus on performance to make L&T a global leader in futuristic tech-driven engineering and solutions. He faced three major challenges – reducing exposure in non-core businesses, adopting technology to strengthen traditional business and leveraging the competence built over 85 years to improve the performance of L&T, while contributing to nation building.

Complexity academic level
This case study is suitable for MBA and executive programmes.

Supplementary materials
Teaching notes are available for educators only. Video of protagonist in conversation with Anant Maheshwari, President Microsoft India discussing the future plans of L&T for adopting new age technology. The video is available at the following YouTube link https://www.youtube.com/watch?v=OKb-_z_ch4E

Subject code
CSS 11: Strategy.
Mega-influencer follower effect: the mediating role of sense of control in brand attitudes, purchase intentions and engagement
Authors: Dong Xuebing , Zhou Run , Liao Junyun 
Published: November 2024

Purpose
In influencer advertising, followers engage in more frequent and timely interactions compared to nonfollowers, making them the primary audience for these advertisements. Building on this premise, this study aims to examine the impact of different influencer types, categorized by follower count, on the advertised brands.

Design/methodology/approach
The authors tested the hypotheses in four studies, including one secondary data analysis and three experiments.

Findings
Combining real-world data with a series of experiments, the authors show that the followers of mega-influencers (vs micro influencers) have a more positive response to the advertised brands, with more positive brand attitudes, greater purchase intentions and higher engagement. The authors call this the “mega-influencer follower effect.” It is driven by the sense of control. This effect only occurs among the followers and not nonfollowers. Moreover, the mega-influencer follower effect only existed in human influencers, not virtual influencers.

Research limitations/implications
This study takes influencer followers as influencer advertising audiences and investigates the effect of influencer types (based on the number of followers) on the advertised brands; however, future research may investigate how consumers respond to brands in different categories endorsed by influencers.

Practical implications
The authors argue that influencer advertising audiences are more likely to be followers of the influencer. From this perspective, the results suggest that marketers should cooperate with mega-influencers.

Originality/value
Through emphasizing the value of followers rather than nonfollowers as audiences, this study expands the literature on influencer marketing and the explanatory mechanisms regarding which types of influencers are more effective.