bluuebunny/crossref_metadata_2025_split huggingface dataset:
De novodesign of parallel and antiparallel A3B3heterohexameric α-helical barrels
Authors: Chubb Joel J. , Albanese Katherine I. , Rodger Alison , Woolfson Derek N. 
Published: September 2024

ABSTRACTThede novodesign of α-helical coiled-coil peptides is advanced. Using established sequence-to-structure relationships, it is possible to generate various coiled-coil assemblies with predictable numbers and orientations of helices. Here we target new assemblies, namely A3B3heterohexamer α-helical barrels. These designs are based on pairs of sequences with 3-heptad repeats (abcdefg) programmed witha= Leu,d= Ile,e= Ala, andg= Ser, andb=c= Glu to make the acidic (A) chains andb=c= Lys in the basic (B) chains. These design rules ensure that the desired oligomeric state and stoichiometry are readily achieved. However, controlling the orientation of neighboring helices (parallel or anti-parallel) is less straightforward. Surprisingly, we find that assembly and helix orientation are sensitive to the starting position of the heptad repeats (the register) in the peptide sequences. Peptides starting atg(g-register) form a parallel 6-helix barrel in solution and in an X-ray crystal structure, whereas theb- andc-register peptides form an antiparallel complex. In lieu of experimental X-ray structures forb- andc-register peptides, AlphaFold-Multimer is used to predict atomistic models. However, considerably more sampling than the default value is required to match the models and the experimental data, as many confidently predicted and plausible models are generated with incorrect helix orientations. This work reveals the previously unknown influence of heptad register on the orientation ofα-helical coiled-coil peptides and provides insights for the modeling of oligopeptide coiled-coil complexes with AlphaFold.
Transcription arrest induces formation of protective RNA granules in mitochondria
Authors: Hansen Katja G. , Baxter-Koenigs Autum , Weiss Caroline A. M. , McShane Erik , Stirling Churchman L. 
Published: September 2024

AbstractMitochondrial gene expression regulation is required for the biogenesis of oxidative phosphorylation (OXPHOS) complexes, yet the spatial organization of mitochondrial RNAs (mt-RNAs) remains unknown. Here, we investigated the spatial distribution of mt-RNAs during various cellular stresses using single-molecule RNA-FISH. We discovered that transcription inhibition leads to the formation of distinct RNA granules within mitochondria, which we term inhibition granules. These structures differ from canonical mitochondrial RNA granules (MRGs) and form in response to multiple transcription arrest conditions, including ethidium bromide treatment, specific inhibition of the mitochondrial RNA polymerase, and depletion of the SUV3 helicase. Inhibition granules appear to serve a protective function, stabilizing certain mt-mRNAs during prolonged transcription inhibition. This phenomenon coincides with an imbalance in OXPHOS complex expression, where mitochondrial-encoded transcripts decrease while nuclear-encoded subunits remain stable. We found that cells recover from transcription inhibition via resolving the granules, restarting transcription and repopulating the mitochondrial network with mt-mRNAs within hours. We suggest that inhibition granules may act as a reservoir to help overcome OXPHOS imbalance during recovery from transcription arrest.
Inflammation cellular platform (INCEPLAT) for testing anti-inflammatory compounds for SARS-CoV-2
Authors: López-Ayllón Blanca D. , Mendoza-García Laura , de Lucas-Rius Ana , García-García Tránsito , Fernández-Rodríguez Raúl , Romero-Guillén Antonio , Serrat Judit , Zúñiga Sonia , Redondo Natalia , Siles-Lucas Mar , Garrido Juan J. , Montoya María 
Published: September 2024

ABSTRACTFrom the early days of the COVID-19 pandemic, an excessive release of proinflammatory cytokines, such as IL6, was detected in serum from patients. As a consequence, several anti-inflammatory drugs, such as Dexamethasone (a strong corticoid), were used to counteract such cytokine storm occurring during severe disease. By contrast, pro-inflammatory interleukin 11 (IL11), a member of the IL6 family, was detected in respiratory tissues from infected patients and in experimental epithelial cellular models. In this work, human A549 lung epithelial cells were individually transduced with SARS-CoV-2 open reading frames (ORFs), resulting in a IL11 increase, which was significantly decreased after Dexamethasone treatment. The use of this cellular platform allowed us to screen for new possible anti-inflammatory compounds fromFasciola hepatica. Our results highlighted the ability of FhNEJ (Fasciola hepaticanewly excysted juvenile flukes) somatic extract to decrease IL11 levels in ORF-transduced cells. These results emphasized the role of IL11 in lung epithelial inflammation, making it a potential target for future treatments of lung inflammation which occurs in COVID-19, and validate the use of these ORF-expressing cells as a cellular platform to test anti-inflammatory compounds for COVID-19 disease.
Genomic mosaicism reveals developmental organization of trunk neural crest-derived ganglia
Authors: Vong Keng Ioi , Alvarez Yanina D. , Noel Geoffroy , Barton Scott T. , Chung Changuk , Howarth Robyn , Meave Naomi , Zhang Qingquan , Jiwani Fiza , Barrows Chelsea , Patel Arzoo , Wang Jiang Xiong , Chi Neil , Kingsmore Stephen F. , White Melanie D. , Yang Xiaoxu , Gleeson Joseph G. 
Published: September 2024

SummaryThe neural crest generates numerous cell types, but conflicting results leave developmental origins unresolved. Here using somatic mosaic variants as cellular barcodes, we infer embryonic clonal dynamics of trunk neural crest, focusing on the sensory and sympathetic ganglia. From three independent adult neurotypical human donors, we identified 1,278 mosaic variants using deep whole-genome sequencing, then profiled allelic fractions in 187 anatomically dissected ganglia. We found a massive rostrocaudal spread of progenitor clones specific to sensory or sympathetic ganglia, which unlike in the brain, showed robust bilateral distributions. Computational modeling suggested neural crest progenitor fate specification preceded delamination from neural tube. Single-cell multiomic analysis suggested both neurons and glia contributed to the rostrocaudal clonal organization. CRISPR barcoding in mice and live imaging in quail embryos confirmed these clonal dynamics across multiple somite levels. Our findings reveal an evolutionarily conserved clonal spread of cells populating peripheral neural ganglia.Highlights-Genetic mosaicism and real-time imaging reveal trunk neural crest cellular dynamics.-DRG or SG cells from different axial levels are more lineage-related than from the same level.-Cell fate specification of trunk neural crest progenitors occurs before neural tube delamination.-These aspects of clonal organization are evolutionarily conserved across mammals and avians.
Multi-omics identification of extracellular components of the fetal monkey and human neocortex
Authors: Vilicich Felipe , Vettiatil Dhanya , Kattapong-Graber Seth , Nawsheen Nadiya , Patel Neel , Quezada Alexandra , Gurney Elizabeth , Smith Emma , Nelson Hallie , Pesci Susan , Atrio Jessica , Moreno Nadjeda , Jones Aragorn , Murphy Melinda , Benfield Nerys , Hennebold Jon , Solanky Nita , Lisgo Steven , Glass Ian ,   Birth Defects Research Laboratory (BDRL), Sidoli Simone 
Published: September 2024

ABSTRACTDuring development, precursor cells are continuously and intimately interacting with their extracellular environment, which guides their ability to generate functional tissues and organs. Much is known about the development of the neocortex in mammals. This information has largely been derived from histological analyses, heterochronic cell transplants, and genetic manipulations in mice, and to a lesser extent from transcriptomic and histological analyses in humans. However, these approaches have not led to a characterization of the extracellular composition of the developing neocortex in any species. Here, using a combination of single-cell transcriptomic analyses from published datasets, and our proteomics and immunohistofluorescence analyses, we provide a more comprehensive and unbiased picture of the early developing fetal neocortex in humans and non-human primates. Our findings provide a starting point for further hypothesis-driven studies on structural and signaling components in the developing cortex that had previously not been identified.
Broken detailed balance and entropy production in directed networks
Authors: Nartallo-Kaluarachchi Ramón , Asllani Malbor , Deco Gustavo , Kringelbach Morten L. , Goriely Alain , Lambiotte Renaud 
Published: September 2024

The structure of a complex network plays a crucial role in determining its dynamical properties. In this paper , we show that the the degree to which a network is directed and hierarchically organized is closely associated with the degree to which its dynamics break detailed balance and produce entropy. We consider a range of dynamical processes and show how different directed network features affect their entropy production rate. We begin with an analytical treatment of a two-node network followed by numerical simulations of synthetic networks using the preferential attachment and Erdös-Renyi algorithms. Next, we analyze a collection of 97 empirical networks to determine the effect of complex real-world topologies. Finally, we present a simple method for inferring broken detailed balance and directed network structure from multivariate time series and apply our method to identify non-equilibrium dynamics and hierarchical organisation in both human neuroimaging and financial time series. Overall, our results shed light on the consequences of directed network structure on non-equilibrium dynamics and highlight the importance and ubiquity of hierarchical organisation and non-equilibrium dynamics in real-world systems.

Published by the American Physical Society
2024
Zakat Wakalah system in Malaysia: an extension of innovation diffusion theory
Authors: Amin Hanudin 
Published: September 2024

Purpose
This study aims to evaluate drivers that explain the acceptance of the zakat Wakalah (ZW) system in Malaysia.

Design/methodology/approach
Innovation diffusion theory (IDT) was tested to examine 441 zakat payers’ willingness to perform the ZW system using SmartPLS4.0.

Findings
All factors sourced from the IDT, including gender, were significantly related to the acceptance of the ZW system.

Research limitations/implications
The generalisation of the outcomes generated was limited to the geography concerned and the confined exogenous variables.

Practical implications
By focusing on the key attributes of the IDT and the gender role, zakat institutions can enhance the system’s appeal, improve its adoption rates and ensure that it is effectively meeting the needs of the community.

Originality/value
This study introduced a modified IDT called ZW–IDT framework to analyse its adoption, scalability and impact on zakat distribution effectiveness.
Branding Muslim hijabi fashion: exploring influencer trends and impact
Authors: Poulis Athanasios , Farache Francisca , Elbayouk Ola , Nikas Ioannis A 
Published: September 2024

PurposeThis research explores the intricate relationship between fashion, identity and religion in Muslim hijabi fashion. More specifically, it examines the impact of global brands’ inclusion of Muslim veiled females in their fashion lines.Design/methodology/approachEmploying a qualitative approach, the research involved 20 in-depth interviews with Muslim women who wear hijab and those who dress modestly without it. Participants were chosen through judgemental sampling, focusing on individuals interested in fashion and brand trends. The study investigated perceptions of brand strategies, the role of influencers and consumer responses within this context.FindingsThe research suggests consumers have different viewpoints about these brands that are compliant with hijabi fashion. This incorporation benefits Muslim women by enhancing their status and recognition, hence fostering the growth of the Muslim fashion industry. In Western society, it promotes a sense of belonging and individuality. Certain individuals see the exploitation of their religious affiliation for financial gain, thereby raising doubts about these companies’ comprehension of Islamic modesty. This has engendered a sense of distrust and suspicion.Originality/valueThis research illuminates the intricate connection between religion, fashion and market dynamics in the realm of Muslim hijabi fashion. This paper explores the multifaceted responses of Muslim women to the marketing methods used by global fashion designers, which include a delicate balance between cultural representation and commercial exploitation. The results shed light on the ways in which fashion both empowers and creates divisions among religious and cultural groups.
Foretelling the compressive strength of bamboo using machine learning techniques
Authors: Dubey Saurabh , Gupta Deepak , Mallik Mainak 
Published: September 2024

PurposeThe purpose of this research was to develop and evaluate a machine learning (ML) algorithm to accurately predict bamboo compressive strength (BCS). Using a dataset of 150 bamboo samples with features such as cross-sectional area, dry weight, density, outer diameter, culm thickness and load, various ML algorithms including artificial neural network (ANN), extreme learning machine (ELM) and support vector regression (SVR) were tested. The ELM algorithm outperformed others, showing superior accuracy based on metrics like R2, MSE, RMSE, MAE and MAPE. The study highlights the efficacy of ELM in enhancing the precision and reliability of BCS predictions, establishing it as a valuable tool for assessing bamboo strength.Design/methodology/approachThis study experimentally created a dataset of 150 bamboo samples to predict BCS using ML algorithms. Key predictive features included cross-sectional area, dry weight, density, outer diameter, culm thickness and load. The performance of various ML algorithms, including ANN, ELM and SVR, was evaluated. ELM demonstrated superior performance based on metrics such as coefficient of determination (R2), mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE), establishing its robustness in predicting BCS accurately.FindingsThe study found that the ELM algorithm outperformed other ML algorithms, including ANN and SVR, in predicting BCS. ELM achieved the highest accuracy based on key metrics such as R2, MSE, RMSE, MAE and MAPE. These results indicate that ELM is a highly effective and reliable tool for predicting the compressive strength of bamboo, thereby enhancing the precision and dependability of BCS evaluations.Originality/valueThis study is original in its application of the ELM algorithm to predict BCS using experimentally derived data. By comparing ELM with other ML algorithms like ANN and SVR, the research establishes ELM’s superior performance and reliability. The findings demonstrate the significant potential of ELM in material strength prediction, offering a novel and robust approach to evaluating bamboo’s compressive properties. This contributes valuable insights into the field of material science and engineering, particularly in the context of sustainable construction materials.
Evaluation of digital innovation in smart homes – based on bibliometrics and rooted theory
Authors: Yu Wenfan , Zhou Shaozhen , Nie Xiaodong 
Published: September 2024

PurposeTo evaluate the level of digital innovation in the smart home industry.Design/methodology/approachBy employing bibliometric analysis and grounded theory, this study aims to assess the innovation capabilities of leading manufacturing enterprises and establish a digital innovation evaluation system for smart homes.FindingsScientific arguments show that the cultivation of innovation capability should focus on three aspects of knowledge innovation, product innovation and technological innovation. Utilizing the four first-level indicators and 15 second-level indicators derived from the previous sections, we conducted TF-IDF (Term Frequency-Inverse Document Frequency) words frequency matching on the annual reports of A-share smart home listed companies. The resulting score for the company across these four primary indicators was then considered as the score for the digital innovation level indicator.Originality/valueThe evaluation system includes first-level indicators such as technological innovation, production innovation, management innovation and sales innovation and second-level indicators such as digital technology, intelligent manufacturing, industrial Internet, green intelligent manufacturing, flexible robot production and cross-border integration, which provides smart home enterprises with a reference to understand the level of digital innovation, improve the deficiencies and promote the development of the smart home industry.
The impact of operational police stress on affective commitment: the mediating role of psychological safety
Authors: Zanini Marco Tulio Fundão , Hilal Susan , Johnson Andrew , Carvalho Juliana 
Published: September 2024

PurposePolice stress is a critical concern for public safety agencies. This study proposes a research model to examine the relationship between police operational stress and affective commitment, mediated by psychological safety.Design/methodology/approachA survey was developed and administered to law enforcement professionals from two large police agencies in a Midwestern US state and Rio de Janeiro state, Brazil.FindingsThe results suggest the research model applies similarly in both countries. A significant relationship between police operational stress and lower affective commitment was found. Psychological safety mediated this effect, suggesting its importance in mitigating stress. The focus on psychological safety offers valuable insights for understanding officer well-being in high-stress environments.Research limitations/implicationsQualitative methods might be used to help better understand the contextual elements around police stress and its consequences. Results indicate that supportive work environments that foster psychological safety can be a powerful tool to buffer the negative effects of stress and promote officer well-being and retention.Practical implicationsA comprehensive understanding of the psychological factors influencing officer morale and engagement is essential for developing interventions to enhance law enforcement effectiveness. Psychological safety helps create a supportive work environment, reducing stress’s negative impact on officer commitment.Originality/valueThis study makes a distinctive contribution by examining the mediating role of psychological safety in the relationship between operational stress and affective commitment among police officers in two countries. Building upon prior research that has examined the impact of stress and psychological safety, this study is among the first to investigate how psychological safety specifically mitigates the negative impact of stress on officer commitment.
Numerical modeling and optimization of fillet height of reinforced SAC305 solder joint in an ultra-fine capacitor assembly
Authors: Apalowo Rilwan Kayode , Muhamed Mukhtar Muhamed Abdul Fatah , Abas Mohamad Aizat , Che Ani Fakhrozi 
Published: September 2024

Purpose
This study aims to investigate the design configuration for an optimum solder height of reinforced SAC305 solder joint in an ultra-fine capacitor assembly.

Design/methodology/approach
A multiphase finite volume model is developed for reflow soldering simulations to determine the fillet height of reinforced SAC305 solder joint in an ultra-fine capacitor assembly. Different solders, namely SAC305-x, SAC305-xNiO and SAC305-xTi, with varying percentage weight compositions of nanoparticles (x = 0 Wt.%, 0.01 Wt.%, 0.05 Wt.%, 0.10 Wt.%, 0.15 Wt.%) are investigated. A reflow soldering experiment is also conducted, and the cross-sections of the reflowed packages are examined using a High-Resolution Transmission Electron Microscope (HRTEM). The optimum design configurations (nanoparticle composition and material) for the solder fillet height are investigated using the Taguchi orthogonal array method.

Findings
Good correlations were recorded between the HRTEM micrographs and the numerical predictions of the nanoparticles' distribution in the molten solder. The numerical prediction of the fillet height also agrees with the experiment, with a maximum disparity of 5.43%. It was found that Ti nanoparticles, having the smallest density compared to NiO and, exhibit the highest buoyancy effect in the molten solder. The Taguchi analysis revealed that the nanoparticles' material factor is more significant than the Wt.% factor for an optimum fillet height. An optimum design configuration for fillet height was established as SAC 305–0.15 Wt.% Ti, corresponding to a 41.13% improvement of the plain SAC 305 solder.

Practical implications
The fillet height of solder joints greatly influences the solder joint reliability of miniaturized electronic packages. Solder joint reliability of ultra-fine capacitors can be improved using this study's findings on the optimum design configuration for the capacitor's solder fillet. The study’s findings can be practically implemented in industries such as electronics manufacturing, where enhanced solder joint reliability is critical.

Originality/value
Investigation of the optimum design configuration for reinforced SAC305 solder fillet is almost nonexistent in the literature. This study explored the optimization of fillet height of reinforced SAC305 solder joints in miniaturized capacitor assembly.
Maggie Timoney of Heineken: shattering the glass ceiling and forging a new path
Authors: Prasad V. Namratha 
Published: September 2024

Research methodology
The case was written using information and data from secondary sources. It describes real people, real companies and the situations experienced by them. It does not use any fictitious names, scenarios or organizations.

Case overview/synopsis
The case “Maggie Timoney of Heineken: Shattering the Glass Ceiling and Forging a New Path,” traces the career of Maggie Timoney (Timoney) (she), the CEO of Heineken USA (HU) – a subsidiary of Dutch multinational brewing company Heineken N.V. (Heineken). The case starts by documenting the early life experiences of Timoney that were thought to have shaped her thinking and strategic capability. It then describes in detail the 25+ years of her career at Heineken, wherein she held several senior positions and worked in various global offices of Heineken. Timoney had a leadership style that was transformational, collaborative and inclusive. In 2018, she was made the CEO of HU and consequently, she became the first woman to hold the top position at one of the top five beer companies in the USA.
The case then describes in detail the challenges she faced as the CEO of HU, which led her to formulate various strategies. Timoney brought innovation to Heineken’s core brands to meet customer needs and follow industry trends; diversified into new market segments; served new consumption occasions; and reached out to the customers through novel marketing strategies. Timoney did achieve excellent business results at HU, but the decline in the global beer industry was still a tough challenge. Having broken gender stereotypes and become a role model through her leadership capability, can Timoney put HU on the path of sustainable future growth?

Complexity academic level
The case is intended for use in teaching the subjects, “Leadership Skills & Change Management,” “Organizational Behavior” and “Organizational Development: Diagnosis and Interventions” in both graduate and postgraduate programs.