bluuebunny/crossref_metadata_2025_split huggingface dataset:
How do Psychological Factors Influence Disaster Preparedness? Evidence from Disaster-Stricken Mountainous Areas of China
Authors: Tan Jing , Lin Lei , Cao Tingjin 
Published: January 2025

Abstract

Objectives
Disaster preparedness plays a vital role in mitigating risks and strengthening resilience of local communities in rural areas. This study examines the linkage between psychological factors and 4 kinds of disaster preparedness intentions and explores the challenges in translating intentions into actions.

Methods
This study utilized survey data from 325 households in Chongqing, China, that are threatened by geological disasters. We conducted empirical analysis using a regression model and carried out several robustness tests. The independent variables, psychological factors, are divided into risk appraisal, coping appraisal, and stakeholder appraisal. The dependent variable, disaster preparedness intentions, includes evacuation, disaster insurance, emergency supplies storage, and behaving eco-friendly.

Results
Multiple psychological factors have significant influence on disaster preparedness intentions, with varying impacts on different preparedness aspects. Social barriers—lack of capital, access, and triggers—hinder translating preparedness intentions into actions.

Conclusions
Our study integrates protection motivation theory and protective action decision model to understand psychological factors influencing disaster preparedness in rural China. We identify key factors significantly impact preparedness intentions and uncover barriers hindering the translation of intentions into actions. The findings underscore the importance of integrated approaches that bridge the gap between psychological awareness and the availability of resources, ultimately fostering a more resilient society in the face of disasters.
Design and Development of a Self-Report Competence Scale for The Assessment of Prehospital Health Professionals’ Competence in Response to Radiological Events
Authors: Koçak Hüseyin , Dağ Nihal , Çalışkan Cüneyt , Kuday Ahmet Doğan , Kınık Kerem 
Published: January 2025

Abstract

Objectives
The objective of this study was to develop a self-report scale for the assessment of the competence of pre-hospital health professionals in responding to radiological incidents.

Methods
Based on the findings of a systematic review analyzing the literature, the instrument followed the processes of item generation, expert opinion, language control, pilot study, and field testing.

Results
In the exploratory factor analysis, 48 items were excluded on the grounds of insufficient common variance (>0.40) and factor loading relationship (>0.50). The remaining 18 items (11 negative and 7 positive items) exhibited a Cronbach’s alpha value of 0.913 and a range of 0.740 to 0.887 in the sub-factors. As the scores on the developed scale increased, there was a corresponding increase in the perceived adequacy of the interventions.

Conclusions
The objective, scope, constraints and stages of the scale’s design and development were elucidated in comprehensive detail, and its intelligibility to other societies was ensured. The scale was developed as a self-report scale that can evaluate the competence of prehospital health professionals in radiological incidents.
Effects of physical multimorbidity on cognitive decline trajectories among adults aged 50 years and older with different wealth status: a 17-year population-based cohort study
Authors: Chen Chen , Zhang Shan , Huang Ning , Zhang Mingyu , Fu JinXin , Guo Jing 
Published: January 2025

Abstract
This study aimed to investigate the effects of physical multimorbidity on the trajectory of cognitive decline over 17 years and whether vary across wealth status. The study was conducted in 9035 respondents aged 50+ at baseline from nine waves (2002–2019) of the English Longitudinal Study of Aging. A latent class analysis was used to identify patterns of physical multimorbidity, and mixed multilevel models were performed to determine the association between physical multimorbidity and trajectories of cognitive decline. Joint analyses were conducted to further verify the influence of wealth status. Four patterns of physical multimorbidity were identified. Mixed multilevel models with quadratic terms of time and status/patterns indicated significant non-linear trajectories of multimorbidity on cognitive function. The magnitude of the association between complex multisystem patterns and cognitive decline increased the most as follow-up progressed. Individuals with high wealth and hypertension/diabetes patterns have significantly lower composite global cognitive z scores over time as compared with respiratory/osteoporosis patterns. Physical multimorbidity at baseline is associated with the trajectory of cognitive decline, and the magnitude of the association increased over time. The trend of cognitive decline differed in specific combinations of wealth status and physical multimorbidity.
The BLIM, the DINA, and their polytomous extensions. Rejoinder to the Commentary by Chiu, Köhn, and Ma
Authors: Stefanutti Luca , Anselmi Pasquale , de Chiusole Debora , Spoto Andrea , Heller Jurgen 
Published: January 2025

Abstract
The basic local independence model (BLIM) is a probabilistic model developed in knowledge space theory (KST). Recently, Stefanutti, de Chiusole, et al. (2020, Psychometrika 85, 684–715) proposed the polytomous local independence model (PoLIM), which is an extension of the BLIM to items with more than two response alternatives (polytomous items). In a Commentary to this paper, Chiu et al. (2023, Psychometrika 88, 656–671) claimed that (i) the BLIM is just a deterministic input noisy AND-gate (DINA) model where every item has a single skill and, as a consequence of this, (ii) the “PoLIM is simply a paraphrase of a DINA model in cognitive diagnosis (CD) for polytomous items” (p. 656). This rejoinder shows that such statements are invalid and totally misleading. Its aim is to clarify the nature of the relationship between the BLIM and the DINA, as well as that between the PoLIM and the Polytomous DINA. It builds upon formal results by Heller, et al. (2015, Psychometrika 80(4), 995–1019) on the intimate relation between KST and CD notions, and shows that the BLIM/PoLIM may be conceived as marginal models for whole classes of CD models.
Efficient and Effective Variational Bayesian Inference Method for Log-Linear Cognitive Diagnostic Model
Authors: Wang Xue , Zhang Jiwei , Lu Jing 
Published: January 2025

Abstract
In this paper, we propose a novel and highly effective variational Bayesian expectation maximization-maximization (VBEM-M) inference method for log-linear cognitive diagnostic model (CDM). In the implementation of the variational Bayesian approach for the saturated log-linear CDM, the conditional variational posteriors of the parameters that need to be derived are in the same distributional family as the priors, the VBEM-M algorithm overcomes this problem. Our algorithm can directly estimate the item parameters and the latent attribute-mastery pattern simultaneously. In contrast, Yamaguchi and Okada’s (2020a) variational Bayesian algorithm requires a transformation step to obtain the item parameters for the log-linear cognitive diagnostic model (LCDM). We conducted multiple simulation studies to assess the performance of the VBEM-M algorithm in terms of parameter recovery, execution time, and convergence rate. Furthermore, we conducted a series of comparative studies on the accuracy of parameter estimation for the DINA model and the saturated LCDM, focusing on the VBEM-M, VB, expectation-maximization, and Markov chain Monte Carlo algorithms. The results indicated that our method can obtain more stable and accurate estimates, especially for the small sample sizes. Finally, we demonstrated the utility of the proposed algorithm using two real datasets.
Helminth diversity in brine shrimps (Artemia) from Ukraine
Authors: Greben O. , Kudlai O. , Kuzmin Yu. , Korol E. , Syrota Ya. 
Published: January 2025

Abstract
Brine shrimps (Artemia spp.) are aquatic crustaceans known as important intermediate hosts for a wide range of helminth species. From 2011 to 2021, 4,347 individuals of brine shrimp were collected for this study, investigating the diversity and infection rates of helminth species in Artemia spp. from hypersaline waters in southern and eastern Ukraine. Seven helminth species were found: six cestodes (Anomotaenia tringae, Eurycestus avoceti, Branchiopodataenia gvozdevi, Confluaria podicipina, Fimbriarioides tadornae, Hymenolepis s.l. stellorae) and one unidentified acuariid nematode (Acuariidae gen. sp.). All these helminths were recorded for the first time in intermediate hosts in Ukraine, although they had been known from other regions. Additionally, partial sequences of the 18S rDNA gene as well as the mitochondrial cytochrome c oxidase subunit 1 (cox1) and nicotinamide adenine dinucleotide dehydrogenase subunit 1 (nad1) genes were obtained for varying numbers of cestode and nematode isolates for the first time. The overall prevalence of helminth infection in Artemia spp. was 21.9%, and the intensity ranged from one to three specimens.
IMU as an input versus a measurement of the state in inertial-aided state estimation
Authors: Burnett Keenan , Schoellig Angela P. , Barfoot Timothy D. 
Published: January 2025

Abstract
Treating inertial measurement unit (IMU) measurements as inputs to a motion model and then preintegrating these measurements have almost become a de facto standard in many robotics applications. However, this approach has a few shortcomings. First, it conflates the IMU measurement noise with the underlying process noise. Second, it is unclear how the state will be propagated in the case of IMU measurement dropout. Third, it does not lend itself well to dealing with multiple high-rate sensors such as a lidar and an IMU or multiple asynchronous IMUs. In this paper, we compare treating an IMU as an input to a motion model against treating it as a measurement of the state in a continuous-time state estimation framework. We methodically compare the performance of these two approaches on a 1D simulation and show that they perform identically, assuming that each method’s hyperparameters have been tuned on a training set. We also provide results for our continuous-time lidar-inertial odometry in simulation and on the Newer College Dataset. In simulation, our approach exceeds the performance of an imu-as-input baseline during highly aggressive motion. On the Newer College Dataset, we demonstrate state-of-the art results. These results show that continuous-time techniques and the treatment of the IMU as a measurement of the state are promising areas of further research. Code for our lidar-inertial odometry can be found at: https://github.com/utiasASRL/steam_icp.
Spatial, occupational, and age-related effects on reported variation in colloquial German
Authors: Wirtz Mason A. , Pickl Simon , Niehaus Konstantin , Elspaß Stephan , Möller Robert 
Published: January 2025

Abstract
While dialectal variation is often investigated from a geographical angle, there exists substantial variation both within the community and individual. The aim of the present article is to investigate the extent to which spatial, occupational, and age-related factors are associated with the diversity of linguistic variants reported per informant at a given locality. Drawing on colloquial language data from the Atlas zur deutschen Alltagssprache ‘Atlas of Colloquial German,’ we found that informants from southeastern Germany and Austria reported familiarity with more variants. Moreover, we multifactorially operationalize occupational complexity, a variable that can capture the effects of different communicative, technical, and physical skills required in a job (via the Dictionary of Occupational Titles). Bayesian multilevel modeling revealed that informants in occupations involving physical precision work and communicative complexity reported less familiarity with variants, and that younger informants were familiar with a wider range of variants.
Decoupling of Magnetic Fabrics From Magnetic Remanences: Insights From Migmatites in Central Tianshan, NW China
Authors: Zhu Xin , Wang Bo , Dong Yunpeng , Chen Yan , Liu Hongsheng , Sun Shengsi , Xue Zhenhua , Zhong Lingling , He Zhiyuan 
Published: January 2025

AbstractThe coupling of magnetic fabrics and magnetic remanences is critical in interpreting paleomagnetic data. To estimate whether primary magnetic fabrics imply primary magnetic remanences, and to assess the practicability of metamorphic rocks in magnetic study, we carried out petrographic, geochronological, rock magnetic investigations, and analyses in anisotropy of magnetic susceptibility and paleomagnetism on migmatites in the Central Tianshan, NW China. Petrological observations indicate no significant dynamic recrystallization post to the migmatization. In‐situ monazite U‐Pb dating suggests that the migmatization happened during ∼314–297 Ma. Rock magnetic results reveal that the magnetic properties of migmatites are dominated by biotites with minor titanomagnetites. Despite the structural and compositional complexities of migmatites, a simple magnetic fabric pattern is observed with concentrated magnetic foliations and dispersed magnetic lineations. The anisotropy degree and shape parameter significantly change from leucosomes, mesosomes to melanosomes, suggesting that the magnetic fabrics should have been acquired during the migmatization. Characteristic remanent magnetization directions were isolated from a quarter of samples with anomalous shallow magnetic inclination. Combined with available geochronological and paleomagnetic results from the Central Tianshan and neighboring blocks, the magnetic remanences preserved in the migmatites were suggested to be obtained at ∼314–303 Ma, later than the acquisition of magnetic fabrics, probably due to thermal remagnetization or resulted from long‐term progressive magnetization during tectonic exhumation of migmatites. This study provides an important yet rarely reported example to manifest the decoupling of magnetic fabrics from magnetic remanences. Meanwhile, migmatites are found to be operable materials for magnetic fabric and paleomagnetic studies.
Myosteatosis is associated with adiposity, metabolic derangements and mortality in patients with chronic kidney disease
Authors: Sabatino Alice , Cordeiro Antonio C. , Prado Carla M. , Lindholm Bengt , Stenvinkel Peter , Avesani Carla Maria 
Published: January 2025

Abstract
Background/Objectives
Myosteatosis has been associated with sarcopenia, and increased mortality risk in patients on hemodialysis. We aimed to explore the associations between myosteatosis, as assessed by computed tomography (CT), with demographic parameters, body composition metrics, muscle strength, metabolic parameters and mortality in patients with chronic kidney disease (CKD).

Subjects/Methods
We enrolled 216 patients (age 60.3 ± 10.6 years, 63% men) with CKD stages 3–5. Abdominal CT scans at the third lumbar vertebra (L3) were used to assess body composition. Abdominal obesity was determined by abdominal adipose tissue (AT), sarcopenia by low skeletal muscle area (SMA) and low handgrip strength. Myosteatosis was evaluated by two parameters using CT scans at L3: mean muscle attenuation and percentage of intermuscular adipose tissue (%IMAT) within SMA. We evaluated the correlation between parameters of myosteatosis with demographic, clinical and metabolic variables. To determine independent predictors of myosteatosis, a multiple linear regression model was fitted. Mortality risk was evaluated with Cox-regression analysis.

Results
Both parameters of myosteatosis were independently associated with age, metabolic syndrome, abdominal AT and SMA in the multiple linear regression analysis (adjusted R2 for multiple linear regression: muscle attenuation model 0.535, P < 0.001; %IMAT model 0.462, P < 0.001). Moreover, higher %IMAT and lower attenuation were associated with a higher mortality risk.

Conclusion
In patients with CKD, increased myosteatosis, as assessed by abdominal CT, was associated with old age, adiposity, metabolic dysfunction, and higher mortality risk.
A tiered strategy to identify relevant genetic variants in familial pulmonary fibrosis: a proof of concept for the clinical practice
Authors: Alonso-González Aitana , Véliz-Flores Ibrahim , Tosco-Herrera Eva , González-Barbuzano Silvia , Mendoza-Alvarez Alejandro , Galván-Fernández Helena , Sastre Leandro , Fernández-Varas Beatriz , Corrales Almudena , Rubio-Rodríguez Luis A. , Jáspez David , Lorenzo-Salazar José M. , Molina-Molina Maria , Rodríguez-de-Castro Felipe , González-Montelongo Rafaela , Flores Carlos 
Published: January 2025

AbstractIdiopathic pulmonary fibrosis (IPF) is a progressive, late-onset disease marked by lung scarring and irreversible loss of lung function. Genetic factors significantly contribute to both familial and sporadic cases, yet there are scarce evidence-based studies highlighting the benefits of integrating genetics into the management of IPF patients. In this study, we performed whole-exome sequencing and telomere length (TL) measurements on IPF patients and their relatives. We then identified rare deleterious variants using three virtual gene panels encompassing IPF or TL genes with varying levels of evidence supporting their potential relationship with the disease. We identified 10 candidate variants in well-established disease genes, and these results were validated using two automatic prioritization tools (Exomiser and Franklin). Pathogenic variants were found in two telomere-related genes (RTEL1 and NAF1), and both were associated with severe TL shortening. Our results suggest that this tiered virtual panel strategy is sufficiently robust and serves as a viable solution in clinical practice. It generates valuable genetic data which can be interpreted and validated with the expertise of a multidisciplinary team.
Paracrine role of endothelial IGF-1 receptor in depot-specific adipose tissue adaptation in male mice
Authors: Luk Cheukyau , Bridge Katherine I. , Warmke Nele , Simmons Katie J. , Drozd Michael , Moran Amy , MacCannell Amanda D. V. , Cheng Chew W. , Straw Sam , Scragg Jason L. , Smith Jessica , Ozber Claire H. , Wilkinson Chloe G. , Skromna Anna , Makava Natallia , Prag Hiran A. , Simon Futers T. , Brown Oliver I. , Bruns Alexander-Francisco , Walker Andrew MN , Watt Nicole T. , Mughal Romana , Griffin Kathryn J. , Yuldasheva Nadira Y. , Limumpornpetch Sunti , Viswambharan Hema , Sukumar Piruthivi , Beech David J. , Vidal-Puig Antonio , Witte Klaus K. , Murphy Michael P. , Hartley Richard C. , Wheatcroft Stephen B. , Cubbon Richard M. , Roberts Lee D. , Kearney Mark T. , Haywood Natalie J. 
Published: January 2025

AbstractDuring recent decades, changes in lifestyle have led to widespread nutritional obesity and its related complications. Remodelling adipose tissue as a therapeutic goal for obesity and its complications has attracted much attention and continues to be actively explored. The endothelium lines all blood vessels and is close to all cells, including adipocytes. The endothelium has been suggested to act as a paracrine organ. We explore the role of endothelial insulin-like growth factor-1 receptor (IGF-1R), as a paracrine modulator of white adipose phenotype. We show that a reduction in endothelial IGF-1R expression in the presence of high-fat feeding in male mice leads to depot-specific beneficial white adipose tissue remodelling, increases whole-body energy expenditure and enhances insulin sensitivity via a non-cell-autonomous paracrine mechanism. We demonstrate that increased endothelial malonate may be contributory and that malonate prodrugs have potentially therapeutically relevant properties in the treatment of obesity-related metabolic disease.
A soft thermal sensor for the continuous assessment of flow in vascular access
Authors: Deng Yujun , Arafa Hany M. , Yang Tianyu , Albadawi Hassan , Fowl Richard J. , Zhang Zefu , Kandula Viswajit , Ramesh Ashvita , Correia Chase , Huang Yonggang , Oklu Rahmi , Rogers John A. , Carlini Andrea S. 
Published: January 2025

AbstractHemodialysis for chronic kidney disease (CKD) relies on vascular access (VA) devices, such as arteriovenous fistulas (AVF), grafts (AVG), or catheters, to maintain blood flow. Nonetheless, unpredictable progressive vascular stenosis due to neointimal formation or complete occlusion from acute thrombosis remains the primary cause of mature VA failure. Despite emergent surgical intervention efforts, the lack of a reliable early detection tool significantly reduces patient outcomes and survival rates. This study introduces a soft, wearable device that continuously monitors blood flow for early detection of VA failure. Using thermal anemometry, integrated sensors noninvasively measure flow changes in large vessels. Bench testing with AVF and AVG models shows agreement with finite element analysis (FEA) simulations, while human and preclinical swine trials demonstrate the device’s sensitivity. Wireless adaptation could enable at-home monitoring, improving detection of VA-related complications and survival in CKD patients.
Distinct roles of dentate gyrus and medial entorhinal cortex inputs for phase precession and temporal correlations in the hippocampal CA3 area
Authors: Ahmadi Siavash , Sasaki Takuya , Sabariego Marta , Leibold Christian , Leutgeb Stefan , Leutgeb Jill K. 
Published: January 2025

AbstractThe hippocampal CA3 subregion is a densely connected recurrent circuit that supports memory by generating and storing sequential neuronal activity patterns that reflect recent experience. While theta phase precession is thought to be critical for generating sequential activity during memory encoding, the circuit mechanisms that support this computation across hippocampal subregions are unknown. By analyzing CA3 network activity in the absence of each of its theta-modulated external excitatory inputs, we show necessary and unique contributions of the dentate gyrus (DG) and the medial entorhinal cortex (MEC) to phase precession. DG inputs are essential for preferential spiking of CA3 cells during late theta phases and for organizing the temporal order of neuronal firing, while MEC inputs sharpen the temporal precision throughout the theta cycle. A computational model that accounts for empirical findings suggests that the unique contribution of DG inputs to theta-related spike timing is supported by targeting precisely timed inhibitory oscillations. Our results thus identify a novel and unique functional role of the DG for sequence coding in the CA3 circuit.