bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring how mumpreneurs use digital platforms' algorithms and mechanisms to generate different types of value
Authors: Ameen Nisreen , Hoelscher Vera , Panteli Niki 
Published: March 2024

AbstractThis study explores how digital platforms generate economic and non‐economic value for a specific group of users: mumpreneurs. We collected qualitative data from 26 mumpreneurs in the United Kingdom who have caring responsibilities for young children and are running a business on the community‐based platform Instagram. We found that through using Instagram and its algorithms, mumpreneurs can create various types of value in this context. Drawing on previous research into value creation, we make several contributions to the information systems literature. First, we unpack and explain alternative forms of value generated by digital platforms. Our findings show that through community‐based platforms such as Instagram, mumpreneurs can create various types of economic and non‐economic value—engagement, cognitive, economic, and self‐preservation value—that is consistent with their business, social, and personal needs. Second, we propose a process model of value creation; and we identify two mechanisms that lead to value creation through Instagram's algorithms: recommended connectivity and adaptability. Third, we identify a temporal dimension of value creation through Instagram. This article contributes to the theory in the growing body of literature on value creation linked to digital platforms and explains several implications for theory and practice.
Calibration areas in ecological niche and species distribution modelling: Unravelling approaches and concepts
Authors: Rojas‐Soto Octavio , Forero‐Rodríguez Juan S. , Galindo‐Cruz Alejandra , Mota‐Vargas Claudio , Parra‐Henao Keisy D. , Peña‐Peniche Alexander , Piña‐Torres Javier , Rojas‐Herrera Karen , Sánchez‐Rodríguez Juan D. , Toro‐Cardona Felipe A. , Trinidad‐Domínguez Carlos D. 
Published: March 2024

AbstractAimThe calibration area (CA) corresponds to the geographic region used by different algorithms that estimate the species' environmental preferences and delimit its geographic distribution. This study intended to identify, test and compare current literature's most commonly employed approaches and methods for CA creation, highlighting the differences with the accessible area (M), a frequently misapplied concept.LocationGlobal.TaxonArthropods, amphibians, reptiles, birds and mammals.MethodsWe conducted a literature review and analysed 129 recent articles on species distribution that use correlative models to identify the methods used to establish the CA and their frequency. We also evaluated seven of the most widely used methods for 31 species from different taxa.ResultsWe found that the most frequently used methods in literature corresponded to biogeographic entities (BE). Moreover, according to our evaluation, those methods that seek to establish the CA through the accessible area approach (including BE and ‘grinnell’) were the best evaluated. Finally, we highlight the advantages and disadvantages of the analysed methods in selecting CA.Main ConclusionsAlthough we cannot fail to recognize the usefulness and validity of the different methods to establish CAs, we suggest calibrating ecological niche and species distribution models in light of explicit a priori hypotheses regarding the extent of accessible areas (M) as a delimitation of the CA, which theoretically includes the species' dispersal ability and its barriers. We recommend using the BE method, which is simple to establish and highly operational.
Adherence to antihypertensives in the United States: A comparative meta‐analysis of 23 million patients
Authors: Dean Yomna E. , Motawea Karam R. , Shebl Mohamed A. , Elawady Sameh Samir , Nuhu Kaamel , Abuzuaiter Basel , Awayda Karen , Fouad Ahmed Mahmoud , Tanas Yousef , Batista Raquel , Elsayed Ahmed , Hassan Noheir A. I. F , El‐Sakka Amro A. , Hasan Walaa , Husain Raabia , Lois Amanda , Arora Aryan , Arora Abhinav , Ayad Elyas , Elbahaie Mohamed A. , Shah Jaffer , Shady Amr , Chaudhuri Debanik , Aiash Hani 
Published: March 2024

AbstractAdherence to antihypertensives is crucial for control of blood pressure. This study analyzed factors and interventions that could affect adherence to antihypertensives in the US. PubMed, Scopus, Web of Science, and Embase were searched on January 21, 2022 and December 25, 2023 for studies on the adherence to antihypertensives in the US. Nineteen studies and 23 545 747 patients were included in the analysis, which showed that adherence to antihypertensives was the highest among Whites (OR: 1.47, 95% CI 1.34–1.61 compared to African Americans). Employment status and sex were associated with insignificant differences in adherence rates. In contrast, marital status yielded a significant difference where unmarried patients demonstrated low adherence rates compared to married ones (OR: 0.8, 95% CI 0.67–0.95). On analysis of comorbidities, diabetic patients reported lower adherence to antihypertensives (OR: 0.95, 95% CI 0.92–0.97); furthermore, patients who did not have Alzheimer showed higher adherence rates. Different BMIs did not significantly affect the adherence rates. Patients without insurance reported significantly lower adherence rates than insured patients (OR: 3.93, 95% CI 3.43–4.51). Polypill users had higher adherence rates compared with the free‐dose combination (OR: 1.21, 95% CI 1.2–1.21), while telepharmacy did not prove to be as effective. Lower adherence rates were seen among African Americans, uninsured, or younger patients. Accordingly, interventions such as fixed‐dose combinations should be targeted at susceptible groups. Obesity and overweight did not affect the adherence to antihypertensives.
Adding to the neuroimmune network model: A commentary on Nusslock et al. (2024)
Authors: Heller Aaron S. 
Published: March 2024

Work by many groups demonstrate links between peripheral markers of inflammation and symptoms of depression. Here, Nusslock and colleagues present an update to their neuroimmune network model to incorporate a developmental lens. They propose that specific neural circuits may be responsible for causing heightened inflammation. One principal circuit includes the amygdala and prefrontal cortex and is proposed to be involved in threat detection. Thus, heightened threat sensitivity resulting from early life stress is suggested to cause increases in inflammatory signaling. Second, the authors suggest that reward circuits, including the striatum, may be targets of increased inflammation leading to symptoms of anhedonia. In this commentary, I add context to the model proposed by Nusslock et al., suggesting that taking a learning perspective and considering additional circuits, including the hippocampus and midline structures may be necessary to more fully account for the phenomena described by the authors.
A Bayesian Moderated Nonlinear Factor Analysis Approach for DIF Detection under Violation of the Equal Variance Assumption
Authors: Lee Sooyong , Han Suhwa , Choi Seung W. 
Published: March 2024

AbstractResearch has shown that multiple‐indicator multiple‐cause (MIMIC) models can result in inflated Type I error rates in detecting differential item functioning (DIF) when the assumption of equal latent variance is violated. This study explains how the violation of the equal variance assumption adversely impacts the detection of nonuniform DIF and how it can be addressed through moderated nonlinear factor analysis (MNLFA) model via Bayesian estimation approach to overcome limitations from the restrictive assumption. The Bayesian MNLFA approach suggested in this study better control Type I errors by freely estimating latent factor variances across different groups. Our experimentation with simulated data demonstrates that the BMNFA models outperform the existing MIMIC models, in terms of Type I error control as well as parameter recovery. The results suggest that the MNLFA models have the potential to be a superior choice to the existing MIMIC models, especially in situations where the assumption of equal latent variance assumption is not likely to hold.
Structural and ultrastructural aspects of the skin of large yellow croaker Larimichthys crocea
Authors: Shi Chenchen , Chen Shi Xi 
Published: March 2024

AbstractThe skin color of the large yellow croaker (Larimichthys crocea) is a crucial indicator to determine its economic value. However, the location of pigment cells in the skin structure is uncertain. To determine the pigment cell type in the skin, the vertical order and ultrastructure of pigment cells were examined using light microscopy and transmission electron microscopy. Both dorsal and ventral skins comprise the epidermis, dermis, and hypodermis. Xanthophores, melanophores, and iridophores were observed in the dermis of the dorsal skin, whereas the latter two were in the dermis of the ventral skin. Interestingly, the size of xanthophores in the dorsal skin was significantly smaller than that of xanthophores in the ventral skin; however, the density of dorsal xanthophores was significantly higher than that of ventral xanthophores. The type L‐iridophores with large crystalline structures were observed in the uppermost area of the upper pigment layer, which contributed to the strikingly metallic luster shown by the ventral skin. The melanophores were exclusively found in the dorsal skin, offering the purpose of camouflage. Taken together, our results indicated that the pigment cells display different arrangement patterns between dorsal and ventral skin, and the golden color in the ventral skin results from the coexistence of light‐reflecting iridophores and light‐absorbing xanthophores.
Does phenology influence predation rate on Salmo trutta parr during lake migration?
Authors: Kennedy Richard J. , Barry James , Boyd Adele , Allen Michelle 
Published: March 2024

AbstractAcoustic tags fitted with predation sensors, which trigger following ingestion by piscivorous predators, were used to compare direct predation rates during downstream migration (out‐migration) of potamodromous (freshwater) brown trout (Salmo trutta L.) parr from their natal river into a large freshwater lake system during spring and autumn. Thirty‐eight spring migrants were tagged across two study years (2021 and 2022) of which 13 individuals (34%) were predated. By contrast 40 autumn migrants were tagged (2020 and 2021) of which three individuals (7.5%) experienced predation. The overall predation loss rate for spring migrants was 0.342% day−1 and was 0.075% day−1 for autumn migrants. Most predation events during spring (77%) occurred within the lower river before tagged fish entered the lake, whilst no predation events were recorded within the river in the autumn. Predation events were significantly linked to tagging season (spring or autumn), with the probability of tags remaining untriggered (as a proxy for survival) being higher 93% (95% confidence interval [CI] [87%, 100%]) in autumn than in spring 66% (95% CI [53%, 83%]). The spring migration periods showed significantly lower river discharge (0.321 m3/s mean daily discharge, April 1 to May 31) to those measured during autumn (1.056 m3/s mean daily discharge, October 1 to November 30) (Mann–Whitney U‐test, U = 1149, p < 0.001). Lower flows, clearer water, and longer sojourn in the river may have contributed to greater predation losses in the spring relative to the autumn.
Detection of rice (with husk) moisture content based on hyperspectral imaging technology combined with MSLPP–ESMA–SVR model
Authors: Zhong Yuhao , Sun Jun , Yao Kunshan , Cheng Jiehong , Du Xiaojiao 
Published: March 2024

AbstractMoisture content detection has guiding significance for the storage and quality detection of rice. To detect moisture content rapidly and non‐destructively, hyperspectral imaging technology (400‐1000 nm) was employed to analyze rice with different moisture content, and Savitzky–Golay mixed standard normalized variable algorithm (SG‐SNV) was used for spectral data pretreatment. Furthermore, a modified supervised locality preserving projections (MSLPP) method was proposed to extract spectral features. The modeling results showed that MSLPP had better spectral feature extraction performance. Finally, to improve prediction accuracy, the equilibrium slime mold algorithm (ESMA) was introduced to obtain the optimal parameters (c, g) of the support vector regression (SVR) model. And MSLPP–ESMA–SVR model had higher prediction accuracy and stronger robustness, with R2p reaching 0.9755 and root mean square error of prediction reaching 0.8597%. Therefore, hyperspectral imaging technology combined with MSLPP–ESMA–SVR model is feasible to detect rice moisture content.
Testimonio as a methodology in the study of sexual and intimate partner violence
Authors: Barrios Veronica R. , Bermea Autumn , Luthy Ellison , Xu Fan 
Published: March 2024

AbstractSexual and intimate partner violence (SIV) continues to be a public health crisis, particularly among girls and women. Traditional and critical qualitative methodologies are often used to study SIV. This paper offers another methodology not traditionally used in family science, testimonio, as a critical, qualitative option. Testimonio is a methodology rooted in Indigenous, Latinx, and Chicano/a feminista studies, deployed in various fields, that centers the stories of marginalized members of society as they are rooted in systemic inequalities, including racism, (cis)sexism, and heteronormativity. A scoping review of the use of testimonio in family science and violence research was conducted and yielded minimal research. Given the dearth of research found through the review, recommendations for using testimonio in family science SIV research are offered along with examples from the authors' research.
EDITOR SPOTLIGHT: Interview with Cholinergic Mechanisms Special Issue Guest Editor Hermona Soreq
Authors:   JNC Editorial Office, Kwan Kim H. , Soreq Hermona 
Published: March 2024

AbstractHermona Soreq holds a Hebrew University Slesinger Chair in Molecular Neuroscience and is among the founding members of the Edmond and Lily Safra Center of Brain Sciences (ELSC). Soreq's research (H‐impact: 98) focuses on acetylcholine (ACh)‐related pathways and combines RNA‐sequencing technologies, transgenic engineering, and molecular biology tests with in‐depth analysis approaches. Her work addresses microRNAs (miRs) and transfer RNA fragments (tRFs) which have rapidly acquired wide recognition as global controllers of regulatory processes in healthy and diseased brain and body, including anxiety, inflammation, and cognition. Altogether, Soreq's work leads to molecular neuroscience‐driven prevention and/or intervention with diseases involving impaired ACh signaling, including schizophrenia, bipolar disorder, Alzheimer's disease, and stress. Hermona led this Special Issue based on the 17th Symposium on Cholinergic Mechanisms (ISCM2022). We interviewed her on the progress in the field, what she wants to achieve as Senior Editor for the Gene Regulation and Genetics category at the Journal of Neurochemistry, key moments, and future directions.
“The Fate of England Rested With a 22 Year Old Boy” ‐ Media Representations of the Youth and Childhood of King Alfred the Great
Authors: Mussies Martine 
Published: March 2024

AbstractAlfred the Great, the ninth‐century King of Wessex, has been a popular subject of media representations, including scenes focused on his childhood. These representations, from paintings to contemporary Netflix series and fanfiction, have created an imagined past for Alfred that has contributed to his legendary status. This article seeks to explore the media representations of Alfred as a child, and the stories, themes, and messages conveyed in different mediums, with a special focus on 21st century online fan cultures.
The AI of the Beholder: Intra‐Professional Sensemaking of an Epistemic Technology
Authors: Scarbrough Harry , Chen Yaru , Patriotta Gerardo 
Published: March 2024

AbstractNew technologies are equivocal, triggering sensemaking responses from the individuals who encounter them. As an ‘epistemic technology’ AI poses new challenges to the expertise and jurisdictions of professionals. Such challenges may be interpreted quite differently, however, depending on the specialized role identities which develop within the wider professional domain. We explore the sensemaking responses of these intra‐professional groupings to the challenges posed by AI through an empirical study of professionals playing different roles (front‐line, hybrid and field‐level) in the field of radiology within NHS England. We found that these intra‐professional groupings sought to make sense of AI through a triadic view focused on the interplay of professional, client and technology. This sensemaking, arising from different jurisdictional contexts, led individual professionals to perceive that their agency was diminished, complemented or enhanced as a result of the introduction of AI. Our findings contribute to the literature on professions and AI by showing how intra‐professional differences affect sensemaking responses to AI as a jurisdictional contestant.
Influence of oral motor tasks on postural muscle activity during dynamic reactive balance
Authors: Hellmann Daniel , Fadillioglu Cagla , Kanus Lisa , Möhler Felix , Schindler Hans J. , Schmitter Marc , Stein Thorsten , Ringhof Steffen 
Published: March 2024

AbstractBackgroundJaw clenching improves dynamic reactive balance on an oscillating platform during forward acceleration and is associated with decreased mean sway speed of different body regions.ObjectiveIt is suggested that jaw clenching as a concurrent muscle activity facilitates human motor excitability, increasing the neural drive to distal muscles. The underlying mechanism behind this phenomenon was studied based on leg and trunk muscle activity (iEMG) and co‐contraction ratio (CCR).MethodsForty‐eight physically active and healthy adults were assigned to three groups, performing three oral motor tasks (jaw clenching, tongue pressing against the palate or habitual lower jaw position) during a dynamic one‐legged stance reactive balance task on an oscillating platform. The iEMG and CCR of posture‐relevant muscles and muscle pairs were analysed during platform forward acceleration.ResultsTongue pressing caused an adjustment of co‐contraction patterns of distal muscle groups based on changes in biomechanical coupling between the head and trunk during static balancing at the beginning of the experiment. Neither iEMG nor CCR measurement helped detect a general neuromuscular effect of jaw clenching on the dynamic reactive balance.ConclusionThe findings might indicate the existence of robust fixed patterns of rapid postural responses during the important initial phases of balance recovery.
Ill‐fitting prosthesis is associated with an increased risk of elevated blood pressures
Authors: Liu Yang , Lei Fang , Yao Dongai , Zhang Xingyuan , Huang Xuewei , Cai Jingjing , Deng Ke‐Qiong , Cheng Bo 
Published: March 2024

AbstractObjectivePrevious studies focused on the benefits of adequate prosthodontic treatment, while few studies have investigated the prosthodontic‐related risks to health. As a modifiable oral health indicator, the association of ill‐fitting prosthesis (IFP) with hypertension has not been fully explored.MethodsThis cross‐sectional study involved 158,659 adults in Beijing (2009–2017) receiving intra‐oral examinations and blood pressure measurements. Logistic regression models were applied to assess the association of IFP with the prevalence of hypertension, systolic blood pressure (SBP) ≧ 140 mmHg and diastolic blood pressure (DBP) ≧ 90 mmHg, as well as subgroup analyses by different fixed IFP subgroups (according to involved teeth number) and removable IFP subgroup. We further investigated effect modifications among stratified populations.Results158,659 individuals were included for analysis, 346 (26.86%) in IFP group and 27,380 (17.40%) in non‐IFP group (p < 0.001) were hypertensive. After adjustment of sex, age, obesity, dyslipidaemia, diabetes, hsCRP, family history of CVD, self‐reported smoking, self‐reported drinking and WC, ORs of hypertension, SBP ≧ 140 mmHg and DBP ≧ 90 mmHg were 1.330 (95% CI: 1.162–1.522), 1.277 (95% CI: 1.098–1.486) and 1.376 (95% CI: 1.186–1.596), respectively (p < 0.05). Furthermore, after full adjustment, the number of involved teeth showed a significant incremental trend with hypertension risk in the population with and without IFP (p for trend <0.001). The IFP–blood pressure associations were more pronounced in females, 18–60 years, non‐obese and diabetic participants.ConclusionAs a modifiable oral indicator, IFP was significantly associated with a higher risk of hypertension.
Virulence profiling of emerging Indian strains of Burkholderia glumae causing panicle blight of rice
Authors: Sreenayana Bhaskaran , Mondal Kalyan Kumar , Kumar Sanjeev , Mathiyalagan Nivetha , Reddy Mrutyunjaya Shrinivas , Nagaranai Shanmugam Kalaivanan , M Amrutha Lakshmi , Echalukoppa Ratnakara Rashmi , Mani Chander 
Published: March 2024

AbstractBacterial panicle blight (BPB), incited by Burkholderia glumae, has impacted rice production globally. Despite its significance, little is known about the disease and the virulence pattern of the causal agent. BPB is a major challenge in the rice‐growing belts of North‐western India. We have characterized the 21 BG strains using the 16S rRNA and the gyrB gene‐based sequence approach in the present study. The gyrB gene‐based phylogenetic analysis resulted in geographic region‐specific clustering of the BG isolates into three clades. The BG isolates from Delhi‐National Capital Region (Delhi NCR) (Clade 1) and Uttar Pradesh (UP) (Clade 2) were separated into two clades and the BG isolates from Uttarakhand and Haryana clustered together in a single clade (Clade 3). Likewise, we sequenced the eight major virulence‐associated genes viz., toxA, toxB, lipA, lipB, pehA, pehB, flhC and flhD present across the genome of B. glumae and identified their interacting proteins through STRING analysis. Furthermore, virulence screening of 21 BG strains revealed the variation in the percentage of grains infected and the yield of rice plants. The most virulent BG1 strain resulted in the highest disease incidence (82.11%) and lowest yield (11.12 g/plant) and BG10 came out as the least virulent strain. Besides, the inoculation at three stages of the plant revealed that the booting stage of rice is the most susceptible stage which resulted in maximum disease percentage and less yield. Overall, our study gives information about virulence‐associated gene characterization and variation in the virulence nature of Indian BG strains.