bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Comprehensive Methodological Framework for Anthropometric Head Shape Modeling Using Small Dataset
Authors: Wei Leonardo H. , Subramanian Sudeesh , Chakroborty Sajal , Chowdhury Suman 
Published: June 2024

ABSTRACTDetailed anthropometric characterization of complex shapes of human heads can ensure optimal fit, comfort, and effectiveness of head-mounted devices. However, there is a lack of a reliable and systematic approach for head shape classification and modeling for laboratory-based, small, occupation-specific datasets. Therefore, in this study, we proposed a streamlined framework comprising six steps—pre-processing, feature extraction, feature selection, clustering, shape modeling, and validation—for head shape classification and modeling. We collected 36 firefighter 3D head scans and implemented the framework. Different clustering techniques, such as k-means and k-medoids, were evaluated using the squared Euclidean distance of individual head shapes from their cluster centroid. Furthermore, five variations of NURBS and cubic spline methods were assessed to design the representative head shape of each cluster, and their accuracy was evaluated using mean square error (MSE) values. The clustering results indicated that k-means provide better metrics than k-medoids. Among the shape modeling methods, cubic spline least squares displayed the lowest MSE (0.70 cm2)and computational time (0.14 s), whereas NURBS least squares displayed the highest MSE (7.19 cm2). Overall, the framework with k-means clustering and cubic spline least squares modeling techniques proved to be the most efficient for small datasets.
Frontotemporal dementia-like disease progression elicited by seeded aggregation and spread of FUS
Authors: Vazquez-Sanchez Sonia , Tilkin Britt , Gasset-Rosa Fatima , Zhang Sitao , Piol Diana , McAlonis-Downes Melissa , Artates Jonathan , Govea-Perez Noe , Verresen Yana , Guo Lin , Cleveland Don W. , Shorter James , Da Cruz Sandrine 
Published: June 2024

AbstractRNA binding proteins have emerged as central players in the mechanisms of many neurodegenerative diseases. In particular, a proteinopathy offused insarcoma (FUS) is present in some instances of familial Amyotrophic lateral sclerosis (ALS) and about 10% of sporadic FTLD. Here we establish that focal injection of sonicated human FUS fibrils into brains of mice in which ALS-linked mutant or wild-type human FUS replaces endogenous mouse FUS is sufficient to induce focal cytoplasmic mislocalization and aggregation of mutant and wild-type FUS which with time spreads to distal regions of the brain. Human FUS fibril-induced FUS aggregation in the mouse brain of humanized FUS mice is accelerated by an ALS-causing FUS mutant relative to wild-type human FUS. Injection of sonicated human FUS fibrils does not induce FUS aggregation and subsequent spreading after injection into naïve mouse brains containing only mouse FUS, indicating a species barrier to human FUS aggregation and its prion-like spread. Fibril-induced human FUS aggregates recapitulate pathological features of FTLD including increased detergent insolubility of FUS and TAF15 and amyloid-like, cytoplasmic deposits of FUS that accumulate ubiquitin and p62, but not TDP-43. Finally, injection of sonicated FUS fibrils is shown to exacerbate age-dependent cognitive and behavioral deficits from mutant human FUS expression. Thus, focal seeded aggregation of FUS and further propagation through prion-like spread elicits FUS-proteinopathy and FTLD-like disease progression.
Estimation of free-roaming dog populations using Google Street View: A Validation Study
Authors: Porras Guillermo , Diaz Elvis W. , De la Puente Micaela , Gavidia Cesar M. , Castillo-Neyra Ricardo 
Published: June 2024

AbstractFree-roaming dogs play a central role in carrying zoonotic pathogens such as rabies virus,Echinococcus granulosus, and Leishmania spp. The control and elimination of these pathogens require quantitative knowledge of dog populations. Thus, estimating the dog population is fundamental for planning, implementing, and evaluating public health programs. However, dog population estimation is time-consuming, requires many field personnel, may be inaccurate and unreliable, and is not without danger. Our objective was to validate a remote methodology for estimating the population of free-roaming dogs using Google Street View (GSV). Our target populations were free-roaming dogs from Arequipa, Peru, a rabies-affected area. Adopting a citizen science approach, and using social media, we recruited online citizen scientists from Arequipa and other regions and trained them to use GSV to identify and count free-roaming dogs in 26 urban and periurban communities. We used correlation metrics and negative binomial models to compare the counts of dogs identified in the GSV imagery with accurate counts of free-roaming owned dogs estimated via door-to-door surveys. In total, citizen scientists detected 868 dogs using GSV and using door-to-door surveys we estimated 909 free-roaming dogs across those 26 communities (Pearson’s coefficient was r=0.73, p < 0.001). Our model predicted that for each free-roaming dog detected with GSV in urban areas, there were 1.03 owned dogs with free access to the street (p < 0.001). The type of community, urban versus periurban, did not have an important effect on the model, but fitting the models in periurban communities was difficult because of the sparsity of high-resolution GSV images in those areas. Using GSV imagery for estimating dog populations is a promising tool in urban areas. Citizen scientists can help to generate information for disease control programs in places with insufficient resources.
AFMfit : Deciphering conformational dynamics in AFM data using fast nonlinear NMA and FFT-based search
Authors: Vuillemot Rémi , Pellequer Jean-Luc , Grudinin Sergei 
Published: June 2024

AbstractAtomic Force Microscopy (AFM) offers a unique opportunity to study the conformational dynamics of proteins in near-physiological conditions at the single-molecule level. However, interpreting the two-dimensional molecular surfaces of multiple molecules measured in AFM experiments as three-dimensional conformational dynamics of a single molecule poses a significant challenge. Here, we present AFMfit, a flexible fitting procedure that deforms an input atomic model to match multiple AFM observations. The fitted models form a conformational ensemble that unambiguously describes the AFM experiment. Our method uses a new fast fitting algorithm based on the nonlinear Normal Mode Analysis (NMA) method NOLB to associate each molecule with its conformational state. AFMfit processes conformations of hundreds of AFM images of a single molecule in a few minutes on a single workstation, enabling analysis of larger datasets, including high-speed (HS)-AFM. We demonstrate the applications of our methods to synthetic and experimental AFM/HS-AFM data that include activated factor V and a membrane-embedded transient receptor potential channel TRPV3. AFMfit is an open-source Python package available athttps://gricad-gitlab.univ-grenoble-alpes.fr/GruLab/AFMfit/.
Adipogenic differentiation and inflammatory response is orchestrated by regulating euchromatic histone methyltransferases
Authors: Chakraborty Mahua , Anirudhan Jithu , Krishnamoorthy Vignesh K , Shree Nitya , Rampalli Shravanti 
Published: June 2024

AbstractEuchromatic histone methyltransferases (EHMT1/2) play a key role in adipogenesis by regulating gene expression. While the downstream gene functions of EHMTs in adipogenic differentiation have been studied, their regulation and precise individual contributions remain elusive. We discovered the existence of a regulatory mechanism, wherein EHMT1 governs the interdependent expression of itself and the master regulator PPARƴ during the early phase of adipogenesis. In later stages, EHMT2 levels decline along with reduction in H3K9 dimethylation. Alteration of above sequence of events alone or in the presence of saturated-fatty acids lead to precocious induction of high levels of PPARƴ, accelerated adipogenesis and hypertrophic adipocytes with a pro-inflammatory phenotype. Countering the decrease in EHMTs effectively abrogated the inflammatory response of the adipocytes. Accordingly, induction of obesity by a high fat diet was sufficient to downregulate H3K9me2 levels and expression of EHMTs along with enhanced IL-6 generation. Taken together, our studies reveal a critical regulatory role played by EHMTs, which coordinates adipogenesis and obesity-induced inflammation.
Belonging beyond the binary: the positive experiences of visible non-binary and genderqueer individuals in the workplace
Authors: Trotter Megan , Yates Julia 
Published: June 2024

PurposeThe number of people being identified as non-binary and genderqueer (NBGQ) is rapidly increasing, but the literature offers scant guidance for organisations aiming to offer these workers an inclusive environment in which they feel that they belong. This study explores how the positive experiences of NBGQ individuals contribute to their sense of belonging in the workplace.Design/methodology/approachIn-depth, semi-structured interviews were conducted with five participants, exploring their positive experiences of belonging at work and the data were analysed using interpretative phenomenological analysis (IPA).FindingsThree higher-order themes were created: allowing authenticity; social support and creating inclusive culture. Findings from this study suggest that NBGQ authenticity, perceived colleague social support and the proactive creation of inclusive organisational cultures interact to develop a sense of belonging for NBGQ individuals in the workplace.Originality/valueEmpirical studies on the experiences of non-binary people at work are almost non-existent. Existing research predominantly explores the negative experiences of NBGQ individuals as a subset of a transgender demographic. This article focuses specifically on the experiences of NBGQ workers and thus contributes to filling this gap in the literature.
Impact of online grocery and food delivery services on food insecurity: a case of US households, before and during the COVID-19 pandemic
Authors: Sapkota Sushil C. , Dsouza Alwin , Acharya Ram N. 
Published: June 2024

PurposeThis study assesses the impact of online grocery shopping and food delivery services on food insecurity before and during the COVID-19 pandemic.Design/methodology/approachThis study uses an online survey of 1,532 respondents. Respondents’ sociodemographics, food consumption, purchasing behavior, food security status, food insecurity coping mechanisms and concerns associated with food safety were asked before and during COVID-19.FindingsOnline grocery shopping and food delivery services increase food insecurity. Moreover, households with female primary shoppers were less likely to be food insecure than households with male primary shoppers. Furthermore, households with children were more likely to be food insecure. Minority households, such as Black, Hispanic, Native American and younger households, were more likely to be food insecure.Research limitations/implicationsPanel data with the same households surveyed before and after COVID-19 would be a better approach. Similarly, the impact of online shopping on food insecurity needs further research, as many factors could be associated with online shopping that impact food insecurity, especially during a crisis like the COVID-19 pandemic. Additionally, a study of the long-term impact of online shopping on food insecurity would be interesting and could present broader and more generalizable results.Originality/valueThe impact of online shopping on food insecurity before and during COVID-19 has yet to be studied sufficiently. Given the increase in popularity of online grocery shopping, its impact on food insecurity still needs to be discovered. Besides online grocery shopping, we also study online food delivery services whose demand has gained momentum over the past few years, including during the pandemic.
Intellectual capital and human dynamic capabilities in decarbonization processes for net-zero business models: an in-depth examination through a systematic literature review
Authors: Di Vaio Assunta , Zaffar Anum , Chhabra Meghna 
Published: June 2024

PurposeAlthough intellectual capital (IC) and human dynamic capabilities (HDCs) play a significant role in decarbonization processes, their measurement and reporting is under-researched. Hence, this study aims to identify the link between HDCs, carbon accounting and integrated reporting (IR) in the transition processes, investigating IC and HDCs in decarbonization processes to achieve net-zero business models (n-ZBMs).Design/methodology/approachA systematic literature review with a concise bibliometric analysis is conducted on 229 articles, published from 1990 to 2023 in Scopus database and Google Scholar. Reviewing data on publications, journals, authors and citations and analysing the article content, this study identifies the main search trends, providing a new conceptual model and future research propositions.FindingsThe results reveal that the literature has rarely focussed on carbon accounting in terms of IC and HDCs. Additionally, firms face pressure from institutions and stakeholders regarding legitimacy and transparency, necessitating a response considering IR and requiring n-ZBMs to be developed through IC and HDCs to meet social and environmental requirements.Originality/valueNot only does this study link IC with HDCs to address carbon emissions through decarbonization practices, which has never been addressed in the literature to date, but also provides novel recommendations and propositions through which firms can sustainably transition to being net-zero emission firms, thereby gaining competitive advantage and contributing to the nation’s sustainability goals.
Halal tourism ecosystem: networks, institutions and implementations in Indonesia
Authors: Rachmiatie Atie , Setiawan Erik , Zakiah Kiki , Saud Muhammad , Martian Ferra 
Published: June 2024

Purpose
This study aims to investigate the components of a halal tourism ecosystem and how to establish a model for an effective halal tourism ecosystem. Therefore, each component can play a role in encouraging the productivity of halal tourism.

Design/methodology/approach
A qualitative approach was applied through in-depth interviews and focus group discussion (FDGs) with representatives of stakeholders who are associated with the development of halal tourism in Indonesia.

Findings
The results show that the effectiveness of the halal tourism ecosystem is primarily determined by the role of the government as an initiator and a policymaker. The halal tourism ecosystem must be run with universal Islamic norms, and it must be avoid exclusive rules.

Originality/value
This research concludes that the symbols in the halal ecosystem are not components that can glue the differences between various organizations and institutions in the context of tourism. However, the role of adhesive is substituted by its practice or implementation that can accommodate shared understandings of Sharia norms.
Exploring collaborative practices between teachers and speech and language therapists in inclusive education in Chile and the conditions that influence their development
Authors: González‐Fernández Daniela , Iturra Carolina 
Published: June 2024

AbstractThis study examined the collaborative practices between teachers and speech and language therapists (SLTs) within an inclusive setting, interviewing 17 professionals’ couples. Three distinct phases of collaboration were identified: planning (e.g. reviewing student performance), co‐teaching in the classroom, and evaluation (reflecting upon joint activities). Conditions fostering collaboration were categorized into individual (interpersonal relationships), school‐based (directive management) and policy (current regulations) dimensions. Findings suggest that the extent of collaboration varies and is influenced by interconnected conditions. This research enriches the literature by offering a classification of collaborative work between teachers and SLTs and underscores the conditions impacting it, and is invaluable for stakeholders aiming to advance inclusive educational settings.
Ultra‐processing should be understood as a holistic issue, from food matrix, to dietary patterns, food scoring, and food systems
Authors: Fardet Anthony 
Published: June 2024

AbstractThe ultra‐processed food (UPF) concept first emerged 15 years ago, and is now studied worldwide in different contexts, for example, human health, food behavior, socio‐economic, food consumption, food scoring, and food system sustainability. Briefly, UPFs are defined as containing at least one marker of ultra‐processing (MUP). MUPs are (1) cosmetic additives, (2) aromas, (3) some highly processed carbohydrates, proteins, fats, and/or fiber, and (4) drastic processes directly applied to food such as extrusion cooking or puffing. The first three categories of MUPs are on the food packaging in the list of ingredients, and are extracted, then purified, from raw foods or coming from artificial syntheses, leading to a‐matrix/a‐cellular compounds. Therefore, the core paradigm to define MUP is extreme food matrix degradation, and for UPF, matrix artificialization. Besides, UPFs are more than just junk food, encompassing numerous industrialized foods, falsely presented as healthy, for example, animal‐based food analogs, but also organic, vegan, gluten‐free, micronutrient‐enriched, and/or light foods. In this way, UPFs are “high‐quality junk foods.” Otherwise, UPF being a holistic and indivisible concept by essence, we propose in this review to analyze ultra‐processing at four holistic levels corresponding to four important scientific issues: the food matrix, the dietary pattern, food system, and food scoring. We reached the main conclusion that UPFs should be first studied with a holistic and scientifically based approach, not a reductionist one. Otherwise, we take the risk of performing greenwashing and create still more new health threats at a global level.
Discussing the midwifery scope of practice within the NANDA‐I taxonomy
Authors: Souto Sandra P. , Prata Ana Paula , Albuquerque Rosemeire S. , Caldeira Sílvia 
Published: June 2024

AbstractPurposeTo discuss the midwifery scope of practice within the NANDA‐I taxonomy.MethodsReview of the NANDA‐I taxonomy followed by critical analysis of the nursing diagnoses (NDs) within the scope of midwifery practice. Search terms were defined. Two authors independently analyzed all diagnoses, and another author validated the results.FindingsOf the 267 NDs in the NANDA‐I taxonomy, 39 (14.6%) perceived a relationship with midwifery's scope of practice, and among these, 15 (5.6%) guaranteed greater specificity and accuracy for clinical reasoning.ConclusionsThe suitability of NDs for the broad spectrum of the midwifery scope of practice may need to be completed. Women's responses to life events and health conditions are simultaneously complex and specific, and many NDs in the NANDA‐I terminology may be far from fully identified and developed to represent these responses.Implications for nursing practiceImprovements in NANDA‐I diagnosis would contribute to advanced terminology and increased specificity and accuracy of the diagnostic process. This is important in achieving appropriate outcomes and safe and effective interventions for which the nurses and nurse‐midwives are accountable. Many NDs would not necessarily be used in any other context since they are specific to midwifery; however, it would help to develop a NANDA‐I taxonomy that is more inclusive and comprehensive internationally.
Genetic basis of phenotypic convergence in pig terminal sires using pathway‐based selection signature detection methods
Authors: Li Jinhua , Li Wangjiao , Peng Xia , Li Xinyun , Zhao Shuhong , Wang Haiyan , Ma Yunlong 
Published: June 2024

AbstractThe primary purpose of genetic improvement in lean pig breeds is to enhance production performance. Owing to their similar breeding directions, Duroc and Pietrain pigs are ideal models for investigating the phenotypic convergence underlying artificial selection. However, most important economic traits are controlled by a polygenic basis, so traditional strategies for detecting selection signatures may not fully reveal the genetic basis of complex traits. The pathway‐based gene network analysis method utilizes each pathway as a unit, overcoming the limitations of traditional strategies for detecting selection signatures by revealing the selection of complex biological processes. Here, we utilized 13 122 398 high‐quality SNPs from whole‐genome sequencing data of 48 Pietrain pigs, 156 Duroc pigs and 36 European wild boars to detect selective signatures. After calculating FST and iHS scores, we integrated the pathway information and utilized the r/bioconductor graphite and signet packages to construct gene networks, identify subnets and uncover candidate genes underlying selection. Using the traditional strategy, a total of 47 genomic regions exhibiting parallel selection were identified. The enriched genes, including INO80, FZR1, LEPR and FAF1, may be associated with reproduction, fat deposition and skeletal development. Using the pathway‐based selection signatures detection method, we identified two significant biological pathways and eight potential candidate genes underlying parallel selection, such as VTN, FN1 and ITGAV. This study presents a novel strategy for investigating the genetic basis of complex traits and elucidating the phenotypic convergence underlying artificial selection, by integrating traditional selection signature methods with pathway‐based gene network analysis.
Serum growth differentiation factor 15 is a novel biomarker with high predictive capability for liver cancer occurrence in patients with MASLD regardless of liver fibrosis
Authors: Kumazaki Shusuke , Hikita Hayato , Tahata Yuki , Sung Ji Hyun , Fukumoto Kenji , Myojin Yuta , Sakane Sadatsugu , Murai Kazuhiro , Sasaki Yoichi , Shirai Kumiko , Saito Yoshinobu , Kodama Takahiro , Kakita Naruyasu , Takahashi Hirokazu , Toyoda Hidenori , Suda Goki , Morii Eiichi , Kojima Takashi , Ebihara Takeshi , Shimizu Kentaro , Sasaki Yutaka , Tatsumi Tomohide , Takehara Tetsuo 
Published: June 2024

SummaryBackground and AimsAlthough metabolic dysfunction‐associated steatotic liver disease (MASLD) patients with a Fib‐4 index >1.3 are recommended for fibrosis evaluation via elastography or biopsy, a more convenient method identifying high‐risk populations requiring follow‐up is needed. We explored the utility of serum levels of growth differentiation factor‐15 (GDF15), a cell stress‐responsive cytokine related to metabolic syndrome, for stratifying the risk of clinical events in MASLD patients.MethodsSerum GDF15 levels were measured in 518 biopsy‐performed MASLD patients, 216 MASLD patients for validation, and 361 health checkup recipients with MASLD.ResultsIn the biopsy‐MASLD cohort, multivariate analysis indicated that the serum GDF15 level was a risk factor for liver cancer, independent of the fibrosis stage or Fib‐4 index. Using a GDF15 cutoff of 1.75 ng/mL based on the Youden index, high‐GDF15 patients, regardless of fibrosis status, had a higher liver cancer incidence rate. While patients with a Fib‐4 index <1.3 or low‐GDF15 rarely developed liver cancer, high‐GDF15 patients with a Fib‐4 index >1.3 developed liver cancer and decompensated liver events at significantly higher rates and had poorer prognoses. In the validation cohort, high‐GDF15 patients had significantly higher incidences of liver cancer and decompensated liver events and poorer prognoses than low‐GDF15 patients, whether limited to high‐Fib‐4 patients. Among health checkup recipients with MASLD, 23.0% had a Fib‐4 index >1.3, 2.7% had a Fib‐4 index >1.3 and >1.75 ng/mL GDF15.ConclusionsSerum GDF15 is a biomarker for liver cancer with high predictive capability and is useful for identifying MASLD patients requiring regular surveillance.