bluuebunny/crossref_metadata_2025_split huggingface dataset:
A mechanical circuit in End4p coordinates force transmission during clathrin-mediated endocytosis
Authors: Ren Yuan , Yang Jie , Fujita Barbara , Zhang Yongli , Berro Julien 
Published: October 2023

AbstractMechanical forces are transmitted from the actin cytoskeleton to the membrane during clathrin-mediated endocytosis (CME) in the fission yeastSchizosaccharomyces pombe. The onset and termination of force transmission is tightly regulated temporally during different stages of CME, and spatially over the surface of the invaginated membrane. How force transmission is regulated and coordinated at the molecular scale is unclear. An adaptor protein in CME, End4p, directly transmits force by binding to both the membrane (through ANTH domain) and F-actin (through THATCH domain). We show that 8pN is required for stable binding between THATCH and F-actin. We also report the discovery and characterization of a new domain on End4p, which we named Rend (Rdomain inEnd4p), that resembles R12 of talin. Membrane localization of Rend primes the binding of THATCH to F-actin, and force-induced unfolding of Rend at 15pN terminates the transmission of force during CME. We show that the mechanical properties (mechanical stability, unfolding length, hysteresis) of Rend and THATCH are tuned to form an auto-regulated circuit for the initiation, transmission and termination of force between the actin cytoskeleton and membrane. Shorting the circuit leads to permanent End4p association with the membrane or with F-actin, or failure to enter the force transmission cycle. Mathematical modeling of force transmission through Rend-THATCH connection shows that input force from F-actin is buffered to a narrow range towards the membrane. The mechanical circuit by Rend and THATCH may be conserved and coopted evolutionarily in cell adhesion complexes.
SenPred: A single-cell RNA sequencing-based machine learning pipeline to classify senescent cells for the detection of anin vivosenescent cell burden
Authors: Hughes Bethany K. , Davis Andrew , Milligan Deborah , Wallis Ryan , Philpott Michael P. , Wainwright Linda J. , Gunn David A. , Bishop Cleo L. 
Published: October 2023

AbstractSenescence classification is an acknowledged challenge within the field, as markers are cell-type and context dependent. Currently, multiple morphological and immunofluorescence markers are required for senescent cell identification. However, emerging scRNA-seq datasets have enabled increased understanding of the heterogeneity of senescence. Here we present SenPred, a machine-learning pipeline which can identify senescence based on single-cell transcriptomics. Using scRNA-seq of both 2D and 3D deeply senescent fibroblasts, the model predicts intra-experimental and inter-experimental fibroblast senescence to a high degree of accuracy (>99% true positives). We position this as a proof-of-concept study, with the goal of building a holistic model to detect multiple senescent subtypes. Importantly, utilising scRNA-seq datasets from deeply senescent fibroblasts grown in 3D refines our ML model leading to improved detection of senescent cellsin vivo.This has allowed for detection of anin vivosenescent cell burden, which could have broader implications for the treatment of age-related morbidities.
TheNRC0gene cluster of sensor and helper NLR immune receptors is functionally conserved across asterid plants
Authors: Sakai Toshiyuki , Martinez-Anaya Claudia , Contreras Mauricio P , Kamoun Sophien , Wu Chih-Hang , Adachi Hiroaki 
Published: October 2023

ABSTRACTNLR (nucleotide-binding domain and leucine-rich repeat-containing) proteins can form complex receptor networks to confer innate immunity. NRCs are phylogenetically related nodes that function downstream of a massively expanded network of disease resistance proteins that protect against multiple plant pathogens. Here, we used phylogenomic methods to reconstruct the macroevolution of the NRC family. One of the NRCs, we termedNRC0, is the only family member shared across asterid plants, leading us to investigate its evolutionary history and genetic organization. In several asterid species,NRC0is genetically clustered to other NLRs that are phylogenetically related to NRC-dependent disease resistance genes. This prompted us to hypothesize that the ancestral state of the NRC network is an NLR helper-sensor gene cluster that was present early during asterid evolution. We validated this hypothesis by demonstrating that NRC0 is essential for the hypersensitive cell death induced by its genetically linked sensor NLR partners in four divergent asterid species: tomato, wild sweet potato, coffee and carrot. In addition, activation of a sensor NLR leads to high-order complex formation of its genetically linked NRC0 similar to other NRCs. Our findings map out contrasting evolutionary dynamics in the macroevolution of the NRC network over the last 125 million years from a functionally conserved NLR gene cluster to a massive genetically dispersed network.One-sentence summaryNRC0gene cluster is functionally conserved across divergent asterid species and predates the massively expanded NRC network.
KIF1C, an RNA transporting kinesin-3, undergoes liquid-liquid phase separation through its C-terminal disordered domain
Authors: Geng Qi , Keya Jakia Jannat , Hotta Takashi , Verhey Kristen J 
Published: October 2023

AbstractThe spatial distribution of mRNA is critical for local control of protein production. Recent studies have identified the kinesin-3 family member KIF1C as an RNA transporter. However, it is not clear how KIF1C interacts with RNA molecules. Here, we show that KIF1C’s C-terminal tail domain is an intrinsically disordered region (IDR) containing a prion-like domain (PLD) that is unique compared to the C-terminal tails of other kinesin family members. In cells, KIF1C constructs undergo reversible formation of dynamic puncta that display physical properties of liquid condensates and incorporate RNA molecules in a sequence-selective manner. The IDR is necessary and sufficient for driving liquid-liquid phase separation (LLPS) but the condensate properties can be modulated by adjacent coiled-coil segments. The purified KIF1C IDR domain undergoes LLPSin vitroat near-endogenous nM concentrations in a salt-dependent manner. Deletion of the IDR abolished the ability of KIF1C to undergo LLPS and disrupted the distribution of mRNA cargoes to the cell periphery. Our work thus uncovers an intrinsic correlation between the LLPS activity of KIF1C and its role as an RNA transporter. In addition, as the first kinesin motor reported to undergo LLPS, our work reveals a previously uncharacterized mode of motor-cargo interaction that extends our understanding of the behavior of cytoskeletal motor proteins.
Adherence to care and treatment review policy and impact on length of stay
Authors: Jones Lucy Jade , Woodrow Ceri 
Published: October 2023

Purpose
The purpose of this clinical audit was to review the adherence to the 2017 care and treatment review policy across two NHS assessment and treatment units. Care and treatment reviews should be offered to people with an intellectual disability and/or autism who are at risk of admission into a mental health hospital.

Design/methodology/approach
Admission and discharge data was collected across two assessment and treatment units between January 2019 and December 2022. Adherence to the care and treatment review policy was also reviewed as was length of inpatient stay. A retrospective evaluation was conducted. Triangulation of data was collected via the trusts’ electronic patient record system and NHS analytics team. Descriptive statistics, Mann–Whitney U test and a one-way ANOVA with post hoc tests were used in the analysis.

Findings
An increase in behaviours of challenge and deterioration of mental health were the main reasons for admission. Forty-nine percent (30) of those admitted to the assessment and treatment units accessed a care and treatment review. Care and treatment reviews were more frequently provided for individuals experiencing longer inpatient stays.

Originality/value
There is limited evidence relating to outcomes and impact of care and treatment reviews. Further research is required to explore effectiveness of care and treatment reviews to understand benefits and appropriately prioritise resource.
Evaluating global data policies around non-personal data on social and public good
Authors: Verma Asmita , Gurtoo Anjula 
Published: October 2023

Purpose
The paper aims to review rules and policy guidelines worldwide around non-personal data (NPD) and evaluate the policies on criteria that allow for the use of data for economic and social good. A review related to diverse policy approaches of various countries remains a research gap, and hence the analysis in the paper is designed with the intention of developing a research framework and providing policy gaps for further exploration.

Design/methodology/approach
A systematic review of academic and non-academic literature on theoretical foundations, applications of NPD for economic and social good and NPD policies and regulations was conducted to identify the evaluation criteria. A total of 32 dimensions got identified for evaluation. As second step, content analysis was used for evaluation. A total of 13 documents from 6 countries and 1 geographical region were identified for evaluation. The documents were evaluated based on the 32 dimensions spread across 5 domains that facilitate data access and sharing for economic and societal benefit.

Findings
The analysis highlights three distinct emerging perspectives on data exchange: most policy and regulatory documents acknowledge the importance of identifying different types of NPD and accordingly describing the distinct roles and responsibilities of data actors for leveraging the data; the policy and regulatory frameworks clearly focus on increasing business opportunities, data sharing cooperation and innovation; and findings also demonstrate certain gaps in the policy frameworks such as a more comprehensive discussion on data access and sharing mechanisms, particularly data sandboxes and open data, and concrete norms and rigorous standards regarding accountability, transparency, ownership and confidentiality. Furthermore, policies and regulations may include appropriate incentive structures for data providers and users to ensure unhindered and sustainable access to data for the common good.

Originality/value
To the best of the authors’ knowledge, this paper represents one of the first research contributions evaluating global data policies focused on NPD in the context of its increasing use as a public good. The paper first identifies evaluation criteria for the analysis on public and social good, and, thus, provides a conceptual framework for future research. Additionally, the analysis identifies the broad domains of policy analysis on social and public good for data economics.
Effect of applied electric and magnetic fields on surface roughness in minimum quantity lubrication turning using Fe3O4 nano-ferrofluid
Authors: Khodabandeh Alireza , Abootorabi Mohammad Mahdi 
Published: October 2023

Purpose
First, the effect of magnetic field intensity and nano-ferrofluid concentrations on surface roughness was evaluated in magnetic minimum quantity lubrication (MMQL). Then, the effect of lubricant flow rate and nozzle position on surface roughness was investigated in MQL, MMQL, electrostatic MQL (EMQL) and electromagnetic MQL (EMMQL).

Design/methodology/approach
This study examined the performance of MQL under magnetic and electric fields in turning AISI 304 stainless steel in terms of surface roughness and compared the results with those obtained from wet cutting and MQL turning operations. To prepare the nano-ferrofluid used in different states of MQL, Fe3O4 nanoparticles were added to the base fluid.

Findings
The results showed that the surface roughness under the EMMQL technique decreased by 36% and 49.4% on average compared with wet and MQL techniques, respectively. The lubrication technique affected the surface roughness by 90.2%, whereas it was 8.3% for the lubricant flow rate. EMQL and EMMQL techniques had no significant difference in their effects on surface roughness. In the innovative MMQL technique, the nano-ferrofluid concentration of 6% and magnetic field intensity of 93 G resulted in lower surface roughness of the workpiece relative to other counterparts.

Originality/value
Examining previously published studies showed that using nano-ferrofluids under a magnetic field for cooling purposes in machining processes have less considered by researchers. This study applies an innovative method of lubrication under the concurrent effect of magnetic and electric fields, called EMMQL, to improve the efficiency of MQL in machining hard-to-cut materials. For comprehensively inspecting the newly presented method, the effects of several parameters, including the nano-ferrofluid concentration, magnetic field intensity, lubricant flow rate and position of lubricant spray nozzle, on the surface roughness of workpiece in turning of AISI 304 stainless steel are investigated.
Virtual reality and augmented reality applications and their effect on tourist engagement: a hybrid review
Authors: Omran Wajdy , Ramos Ricardo F. , Casais Beatriz 
Published: October 2023

Purpose
This study consolidates insights on the role of virtual reality (VR) and augmented reality (AR) in tourism engagement (TE). In addition, it suggests new directions for research in tourism and hospitality.

Design/methodology/approach
A hybrid integrative review was used with bibliometric and theory-context-characteristics-method framework analyses of 236 peer-reviewed journal articles.

Findings
Computer science journals dominate TE in VR/AR research. Emotional and immersive attributes of VR/AR sustain TE. Exploring cultural theories can enrich TE perspectives in the context of VR/AR. This study offers fruitful directions by exploring virtual technology’s role in sustaining cultural heritage and studying TE intentions and perceptions on VR/AR tourism mobile applications.

Originality/value
To the best of the authors’ knowledge, this is the first study that uncovers the structure and intellectual rationale of existent research.
Investigating how consumer-perceived value and store image influence brand loyalty in emerging markets
Authors: Islam Shahidul , Zahin Mashiat , Rahim Shahida Binte 
Published: October 2023

PurposeThis study examines the impact of consumer-perceived value (CPV) dimensions such as product quality, price fairness, brand prestige and brand positioning on brand attitude and loyalty for electronic home appliance brands in an emerging market. It also explores the moderating effect of perceived store image on the relationship between brand attitude and loyalty.Design/methodology/approachThis study proposes an integrated model based on consumption values and the value-attitude-behavior (V-A-B) framework. Survey data from 209 Bangladeshi consumers of electronic home appliances were used to test the model. Covariance-based structural equation modeling (CB-SEM) and PROCESS macro were employed to test the hypotheses.FindingsThis research underscores the importance of CPV dimensions, such as product quality, price fairness, brand prestige and positioning, in predicting brand loyalty through brand attitude. Store image moderates the link between brand attitude and loyalty, with a stronger relationship when store image is high and a weaker relationship when it is low.Originality/valueThis study broadens marketing and consumption value theory by investigating brand prestige and positioning in the V-A-B framework in the emerging market. This is the first study to use perceived store image to moderate the relationship between brand attitude and loyalty.
The double pandemic: diversity, equity and inclusion at Yale University School of Medicine in the era of COVID-19
Authors: Al Arkoubi Khadija , Mendez-Fernandez Yanice , Gionet Paige , Canino Teresa 
Published: October 2023

Research methodology
This case was based on both primary and secondary data. In-depth semidirected interviews were conducted in 2021–2022 after receiving the institutional research board approval. The interviews took an approximate time ranging from 90 to 120 min. They were recorded and transcribed. A thematic analysis was undertaken to identify the most relevant themes for the case. The secondary sources used included various websites, scholarly and trade journals, as well as specific databases, such as Statista.

Case overview/synopsis
The case exposes students in multiple disciplines to the challenges created by the COVID-19 crisis at Yale School of Medicine (YSM). It describes its remarkable effects on organizational and community members as they struggled to reimagine more inclusive and supportive spaces. As one of the most severe crises humanity has ever witnessed, COVID-19 exacerbated the existing struggles of the underrepresented communities, creating a double pandemic. It has also amplified inequities among marginalized groups including black, indigenous and people of color; women; immigrants; lesbian, gay, bisexual, transgender, queer/questioning; people with different abilities; working parents; single parents; religious minorities; and people with low income. When COVID-19 hit in 2020, Yale University School of Medicine (YSM), like other pioneering schools in the field of health care, doubled their efforts to face both the public health crisis and the substantial social turmoil (racial tensions after the death of George Floyd, food insecurity, vaccine resistance, social inequalities, etc.). Professor Marietta Vazquez, MD, who was the first Latina to be named Associate Dean for Medical Students Diversity at YSM, launched with Dr Latimore (Chief Diversity Officer) and her other colleagues many strategic initiatives aiming at improving the diversity, equity and inclusion of organizational and community members.
The case is an invitation to graduate students and students in executive education programs to reflect on the grand challenges leaders faced at YSM as well as in other institutions across the nation and the globe. It is also a call to reimagine ways leaders can accelerate the pace of change in their organizational ecosystems.

Complexity academic level
This case was written for use in graduate-level courses, including executive education dealing with Diversity, Equity, Inclusion and Belonging, Leadership and Change, Health-Care Equity/Policy, Health Sciences, Human Resource Management, Organizational Behavior, Crisis Management, Sustainability, Business and Society, Social Issues in Management, Strategy, etc. Faculty members can easily adapt the case to fit the content of the course they teach, the students’ context as well as the specific learning outcomes to be achieved.
Attenuating free‐surface multiples and ghost reflection from seismic data using a trace‐by‐trace convolutional neural network approach
Authors: Kiraz Mert S. R. , Snieder Roel , Sheiman Jon 
Published: October 2023

AbstractThe presence of the air–water interface (or free‐surface) creates two major problems in marine seismic data for conventional seismic processing and imaging: free‐surface multiples and ghost reflections. The attenuation of free‐surface multiples remains one of the most challenging noise attenuation problems in seismic data processing. Current solutions suffer from the removal of the primary events along with the multiple events especially when the primary and multiple events overlap (e.g., adaptive subtraction). The effective attenuation of ghost reflections (or deghosting) requires acquisition‐ and/or processing‐related solutions which generally address the source‐side and receiver‐side ghosts separately. Additionally, an essential requirement for a successful implementation of free‐surface multiple attenuation and seismic dehosting is the requirement of dense seismic data acquisition parameters which is not realistic for two‐dimensional and/or three‐dimensional marine cases. We present a convolutional neural network approach for free‐surface multiple attenuation and seismic deghosting. Unlike the existing solutions, our approach operates on a single trace at a time, and neither relies on the dense acquisition parameters nor requires a subtraction process to eliminate free‐surface multiples, and it removes both the source ghost and receiver ghost simultaneously. We train a network using subsets of the Marmousi and Pluto velocity models and make predictions using subsets of the Sigsbee velocity model. We show that the convolutional neural network predictions give a correlation coefficient of 0.97 on average with the numerically modeled data for the synthetic examples. We illustrate the efficacy of our convolutional neural network–based technique using the Mobil AVO Viking Graben field data set. The application of our algorithm demonstrates that our convolutional neural network–based approach removes different orders of free‐surface multiples (e.g., first and second orders) and recovers the low‐frequency content of the seismic data (which is essential for, for instance, full‐waveform inversion applications and broadband processing) by successfully removing the ghost reflections while preserving and increasing the continuity of the primary reflection.
Financing community partnerships for health equity: Findings and insights from cross‐sector professionals
Authors: Hoornbeek John , Chiyaka Edward T. , Lanese Bethany , Vreeland Amy , Filla Joshua 
Published: October 2023

AbstractObjectiveTo enhance understanding of financial alignment challenges facing cross‐sector partnerships (CSPs) pursuing health equity and offer insights to guide research and practice.Data Sources and Study SettingWe collected data through surveys and interviews with cross‐sector professionals in 16 states, 2020–2021.Study DesignWe surveyed 51 CSP leaders and received 26 responses. Following administration of the surveys to CSP leaders, we also conducted interviews with cross‐sector professionals. The data are analyzed descriptively, comparatively, and qualitatively using thematic analysis.Data Collection/Extraction MethodsFor quantitative survey data, we compare partnership responses, differentiating perceived levels of alignment among partnerships certified by the Pathways Community HUB Institute (PCHI), partnerships interested in certification, and partnerships without connection to the PCHI® Model of care coordination. For interviews, we engaged CSP professionals and those who fund their work. Two research team members took notes for interviews, which were combined and made available for review by those interviewed. Data were analyzed independently by two team members who met to integrate, identify, and finalize thematic findings.Principal FindingsOur work supports previous findings that financing is a challenge for CSPs, while also suggesting that PCHI‐certified partnerships may perceive greater progress in financial alignment than others. We identify four major financial barriers: limited and competitive funding; state health service delivery structures; cultural and practice divides across healthcare, social service, and public health sectors; and needs for further evidence of cross‐sector service impacts on client health and costs. We also offer a continuum of measures of financial sustainability progress and identify key issues relating to financial incentivization/accountability.ConclusionFindings suggest a need for public policy reviews and improvements to aid CSPs in addressing financial alignment challenges. We also offer a measurement framework and ideas to guide research and practice on financial alignment, based on empirical data.