bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long‐term building safety assessment from a series of earthquake excitations
Authors: Huang Yu‐Tzu , Loh Chin‐Hsiung , Chou Chung‐Che , Chen Wen‐Hui 
Published: January 2024

AbstractStructural health monitoring is conducted to ensure the structural integrity of a building during earthquakes. This study aimed to improve our understanding of the dynamic response of buildings subjected to a series of earthquake excitations, focusing on interpreting structural dynamic characteristics and identifying potential seismic damage subjected to a series of earthquake excitations. To this end, a series of seismic response data of a 13‐story reinforced‐concrete/steel building were collected through long‐term monitoring over 2 years. A systematic approach for monitoring the health of the building was established by integrating several algorithms for vibration‐based (both output‐only and input–output parametric nonparametric feature‐discrimination algorithms) and model‐based feature extraction techniques. Furthermore, the time‐varying dynamic characteristics of the building were determined, including its modal frequency, mode shape, and stiffness, as extracted from features obtained over the monitoring period of 2 years. Safety assessment of this newly compound high‐rise building is investigated to explore the system dynamic characteristics through long‐term seismic monitoring.
A hybrid crude oil price forecasting framework: Modified ensemble empirical mode decomposition and hidden Markov regression
Authors: Lin Muyangzi , Xie Haonan , Yang Cai 
Published: January 2024

AbstractThe considerable influence of crude oil prices on the international economy has motivated numerous scholars to develop various prediction models. Two difficulties are encountered in forecasting. One is that the time series of crude oil prices show massive jumps in high frequency. The other is that the time series of crude oil prices are characterised by nonlinearity, structural breaks and highly volatile states. Therefore, we propose a hybrid model that incorporates the principle of decomposition–integration. Its overall process can be divided into the steps of decomposition and integration. In decomposition step, modified ensemble empirical mode decomposition is used to decompose the data on crude oil prices. Next, K‐means and principal component analysis are utilised to extract the optimal intrinsic mode function (IMF) from diverse frequencies amongst decomposed IMFs. Following decomposition, different forecasting methods are used to match IMFs with various frequencies for prediction. In accordance with structural breaks and the highly volatile states of high‐frequency series, hidden Markov regression is applied to describe predicted values in a probabilistic manner, providing objective interpretation and forecasting. A neural network is taken to predict intermediate‐frequency IMFs by using a fully connected network. Owing to the low frequency and tendency of the residual sequence to be more stable than other frequency sequences, the autoregressive integrated moving average model is applied as the forecasting method for prediction. Finally, all individual predictions for the eventual results are ensembled as final predictions. Results confirm that the proposed model is better than several normal hybrid and single models in terms of prediction accuracy and Diebold–Mariano test results. All results confirm that the newly proposed hybrid model is a promising tool for the analysis and forecasting of crude oil prices.
Associations between adiposity and white matter hyperintensities: Cross‐sectional and longitudinal analyses of 34,653 participants
Authors: Wang Rong‐Ze , Deng Yue‐Ting , Zhang Wei , Ning Jing , Li Hong‐Qi , Feng Jian‐Feng , Cheng Wei , Yu Jin‐Tai 
Published: January 2024

AbstractObjectivesWhite matter hyperintensities (WMH) increase the risk of stroke and cognitive impairment. This study aims to determine the cross‐sectional and longitudinal associations between adiposity and WMH.MethodsParticipants were enrolled from the UK Biobank cohort. Associations of concurrent, past, and changes in overall and central adiposity with WMH were investigated by linear and nonlinear regression models. The association of longitudinal adiposity and WMH volume changes was determined by a linear mixed model. Mediation analysis investigated the potential mediating effect of blood pressure.ResultsIn 34,653 participants with available adiposity measures and imaging data, the concurrent obese group had a 25.3% (β [95% CI] = 0.253 [0.222–0.284]) higher WMH volume than the ideal weight group. Increment in all adiposity measures was associated with a higher WMH volume. Among them, waist circumference demonstrated the strongest effect (β [95% CI] = 0.113 [0.101–0.125]). Past adiposity also demonstrated similar effects. Among the subset of 2664 participants with available WMH follow‐up data, adiposity measures were predictive of WMH change. Regarding changes of adiposity, compared with ideal weight stable group, those who turned from ideal weight to overweight/obese had a 8.1% higher WMH volume (β [95% CI] = 0.081 [0.039–0.123]), while participants who turned from overweight/obese to ideal weight demonstrated no significant WMH volume change. Blood pressure partly meditates the associations between adiposity and WMH.ConclusionsBoth concurrent and past adiposity were associated with a higher WMH volume. The detrimental effects of adiposity on WMH occurred throughout midlife and in the elderly and may still exist after changes in obesity status.
The volume and the distribution of premorbid white matter hyperintensities: Impact on post‐stroke aphasia
Authors: Vadinova Veronika , Sihvonen Aleksi J. , Wee Fiona , Garden Kimberley L. , Ziraldo Laura , Roxbury Tracy , O'Brien Kate , Copland David A. , McMahon Katie L. , Brownsett Sonia L. E. 
Published: January 2024

AbstractWhite matter hyperintensities (WMH) are a radiological manifestation of progressive white matter integrity loss. The total volume and distribution of WMH within the corpus callosum have been associated with pathological cognitive ageing processes but have not been considered in relation to post‐stroke aphasia outcomes. We investigated the contribution of both the total volume of WMH, and the extent of WMH lesion load in the corpus callosum to the recovery of language after first‐ever stroke. Behavioural and neuroimaging data from individuals (N = 37) with a left‐hemisphere stroke were included at the early subacute stage of recovery. Spoken language comprehension and production abilities were assessed using word and sentence‐level tasks. Neuroimaging data was used to derive stroke lesion variables (volume and lesion load to language critical regions) and WMH variables (WMH volume and lesion load to three callosal segments). WMH volume did not predict variance in language measures, when considered together with stroke lesion and demographic variables. However, WMH lesion load in the forceps minor segment of the corpus callosum explained variance in early subacute comprehension abilities (t = −2.59, p = .01) together with corrected stroke lesion volume and socio‐demographic variables. Premorbid WMH lesions in the forceps minor were negatively associated with early subacute language comprehension after aphasic stroke. This negative impact of callosal WMH on language is consistent with converging evidence from pathological ageing suggesting that callosal WMH disrupt the neural networks supporting a range of cognitive functions.
Enhanced healing of wounds that responded poorly to silver dressing by copper wound dressings: Prospective single arm treatment study
Authors: Gorel Oxana , Hamuda Mozna , Feldman Ilana , Kucyn‐Gabovich Irit 
Published: January 2024

AbstractBackground and AimsDressings containing silver ions are an accepted and common option for wound treatment. However, some wounds fail to heal at the desired rate despite optimal management. The aim of the study was to examine the effect of copper dressings in noninfected wounds.MethodsThe study included 20 patients aged 18–85 years with 2–30 cm2 noninfected wounds treated for 17–41 days with silver wound dressings that failed to reduce by >50% the wound size, who were then treated with copper dressings. Ten patients were diabetics, 10 suffered from hypertension, and six suffered from peripheral vascular disease (PVD). Two patients suffered from two wounds. Most were amputation wounds below the knee.ResultsFive patients dropped out from the study due to complications not related to the wound. The mean period of silver and copper dressings treatment was 25.6 and 29.6 days, respectively (p = 0.25; t test). None of the wounds became infected. Comparing a period of 25 days, during the copper dressings treatment, the mean wound area reduction was ~2.4 times higher than during the silver dressing treatment, 87.35 ± 22.4% versus 37.02 ± 25.11% (mean ± SD; p < 0.001; paired t test), respectively. The average decline during the silver and copper treatments were 1.2% and 2.14% per day (p = 0.002; multiple regression analysis), respectively.ConclusionsThe enhanced wound healing process observed with the copper dressings may be explained by the integral role of copper throughout all physiological skin repair processes. Silver in contrast has no physiological role in wound healing. The results of our study confirm case reports showing enhanced wound healing of hard‐to‐heal wounds with copper dressings, both of infected and noninfected wounds. Taken together, the results of the current study support the hypothesis that the application of copper dressings in situ for noninfected wounds results in the stimulation of the wound healing processes, as opposed to silver dressings.
Did marginal propensities to consume change with the housing boom and bust?
Authors: Cho Yunho , Morley James , Singh Aarti 
Published: January 2024

SummaryWe extend a widely used semi‐structural model to identify and estimate dynamic consumption elasticities with respect to transitory income shocks. Applying our model to household survey data, we find a structural break in marginal propensities to consume following the end of the housing market boom, with the average across households increasing significantly. There is important heterogeneity by different household balance sheet characteristics, and the increase in the average appears to be driven by higher short‐run consumption elasticities for homeowners with low liquid wealth. The change in consumption behavior is consistent with tighter borrowing constraints more than a shift in wealth distributions.
Umbilical cord MSC‐derived exosomes improve alveolar macrophage function and reduce LPS‐induced acute lung injury
Authors: Cui Enhai , Lv Lu , Wang Bin , Li Liqin , Lu Huadong , Hua Feng , Chen Wenyan , Chen Na , Yang Liwei , Pan Ruolang 
Published: January 2024

AbstractAcute lung injury (ALI) is a severe condition that can progress to acute respiratory distress syndrome (ARDS), with a high mortality rate. Currently, no specific and compelling drug treatment plan exists. Mesenchymal stem cells (MSCs) have shown promising results in preclinical and clinical studies as a potential treatment for ALI and other lung‐related conditions due to their immunomodulatory properties and ability to regenerate various cell types. The present study focuses on analyzing the role of umbilical cord MSC (UC‐MSC))‐derived exosomes in reducing lipopolysaccharide‐induced ALI and investigating the mechanism involved. The study demonstrates that UC‐MSC‐derived exosomes effectively improved the metabolic function of alveolar macrophages and promoted their shift to an anti‐inflammatory phenotype, leading to a reduction in ALI. The findings also suggest that creating three‐dimensional microspheres from the MSCs first can enhance the effectiveness of the exosomes. Further research is needed to fully understand the mechanism of action and optimize the therapeutic potential of MSCs and their secretome in ALI and other lung‐related conditions.
Ryanodine receptor dysfunction causes senescence and fibrosis in Duchenne dilated cardiomyopathy
Authors: Souidi Monia , Resta Jessica , Dridi Haikel , Sleiman Yvonne , Reiken Steve , Formoso Karina , Colombani Sarah , Amédro Pascal , Meyer Pierre , Charrabi Azzouz , Vincenti Marie , Liu Yang , Soni Rajesh Kumar , Lezoualc'h Frank , Stéphane Blot D.V.M. , Rivier François , Cazorla Olivier , Parini Angelo , Marks Andrew R. , Mialet‐Perez Jeanne , Lacampagne Alain , Meli Albano C. 
Published: January 2024

AbstractBackgroundDuchenne muscular dystrophy (DMD) is an X‐linked disorder characterized by progressive muscle weakness due to the absence of functional dystrophin. DMD patients also develop dilated cardiomyopathy (DCM). We have previously shown that DMD (mdx) mice and a canine DMD model (GRMD) exhibit abnormal intracellular calcium (Ca2+) cycling related to early‐stage pathological remodelling of the ryanodine receptor intracellular calcium release channel (RyR2) on the sarcoplasmic reticulum (SR) contributing to age‐dependent DCM.MethodsHere, we used hiPSC‐CMs from DMD patients selected by Speckle‐tracking echocardiography and canine DMD cardiac biopsies to assess key early‐stage Duchenne DCM features.ResultsDystrophin deficiency was associated with RyR2 remodelling and SR Ca2+ leak (RyR2 Po of 0.03 ± 0.01 for HC vs. 0.16 ± 0.01 for DMD, P < 0.01), which led to early‐stage defects including senescence. We observed higher levels of senescence markers including p15 (2.03 ± 0.75 for HC vs. 13.67 ± 5.49 for DMD, P < 0.05) and p16 (1.86 ± 0.83 for HC vs. 10.71 ± 3.00 for DMD, P < 0.01) in DMD hiPSC‐CMs and in the canine DMD model. The fibrosis was increased in DMD hiPSC‐CMs. We observed cardiac hypocontractility in DMD hiPSC‐CMs. Stabilizing RyR2 pharmacologically by S107 prevented most of these pathological features, including the rescue of the contraction amplitude (1.65 ± 0.06 μm for DMD vs. 2.26 ± 0.08 μm for DMD + S107, P < 0.01). These data were confirmed by proteomic analyses, in particular ECM remodelling and fibrosis.ConclusionsWe identified key cellular damages that are established earlier than cardiac clinical pathology in DMD patients, with major perturbation of the cardiac ECC. Our results demonstrated that cardiac fibrosis and premature senescence are induced by RyR2 mediated SR Ca2+ leak in DMD cardiomyocytes. We revealed that RyR2 is an early biomarker of DMD‐associated cardiac damages in DMD patients. The progressive and later DCM onset could be linked with the RyR2‐mediated increased fibrosis and premature senescence, eventually causing cell death and further cardiac fibrosis in a vicious cycle leading to further hypocontractility as a major feature of DCM. The present study provides a novel understanding of the pathophysiological mechanisms of the DMD‐induced DCM. By targeting RyR2 channels, it provides a potential pharmacological treatment.
Investigating the effects of acute and chronic stress on DNA damage
Authors: Beattie Ursula K. , Estrada Rodolfo S. , Gormally Brenna M. G. , Reed J. Michael , McVey Mitch , Romero L. Michael 
Published: January 2024

AbstractA hallmark of the vertebrate stress response is a rapid increase in glucocorticoids and catecholamines; however, this does not mean that these mediators are the best, or should be the only, metric measured when studying stress. Instead, it is becoming increasingly clear that assaying a suite of downstream metrics is necessary in stress physiology. One component of this suite could be assessing double‐stranded DNA damage (dsDNA damage), which has recently been shown to increase in blood with both acute and chronic stress in house sparrows (Passer domesticus). To further understand the relationship between stress and dsDNA damage, we designed two experiments to address the following questions: (1) how does dsDNA damage with chronic stress vary across tissues? (2) does the increase in dsDNA damage during acute stress come from one arm of the stress response or both? We found that (1) dsDNA damage affects tissues differently during chronic stress and (2) the hypothalamic–pituitary–adrenal axis influences dsDNA damage with acute stress, but the sympathetic‐adreno‐medullary system does not. Surprisingly, our data are not explained by studies on changes in hormone receptor levels with chronic stress, so the underlying mechanism remains unclear.
AKT/FOXM1/STMN1 signaling pathway activation by SMC1A promotes tumor growth in breast cancer
Authors: Li Kaichun , Dai Ping , Li Jian , Liu Long , Cheng Shiyu , Fang Qingliang , Wu Bingxiang 
Published: January 2024

AbstractBackgroundUpregulation of SMC1A (Structural maintenance of chromosomes 1A) is linked with many types of cancer and its oncogenic function, which has been associated with crucial cellular mechanisms (cell division, cell cycle checkpoints regulation and DNA repair). Recent studies have shown that SMC1A was involved in breast cancer, although the exact mechanisms of SMC1A remain to be determined.MethodsUsing The Cancer Genome Atlas (TCGA) database, we examined SMC1A expression and its relation to other genes, including FOXM1 and STMN1. Short hairpin RNA was used to subsequently examine the biological roles of SMC1A in MDA‐MB‐231 and MDA‐MB‐468 cell lines. Bioinformatics were performed to identify the SMC1A‐related gene FOXM1.ResultsHere, we used the TCGA database to show that SMC1A is overexpressed in breast cancer. Later investigations showed SMC1A's role in breast cancer cell survival, apoptosis and invasion. Using bioinformatics and western blot assays, we confirmed that FOXM1 acted as the downstream of SMC1A, and SMC1A knockdown significantly downregulated the FOXM1 expression via the AKT signal pathway. Interestingly, the inhibition effects induced by SMC1A downregulation could be reversed by FOXM1 overexpression. In the clinic, SMC1A expression is favorably linked with FOXM1 expression in breast cancer tumor tissues.ConclusionsCollectively, our results not only enhance our knowledge of SMC1A's molecular pathways in breast cancer, but also suggest a potential new therapeutic target.
High protein intake can lead to serious hypophosphatemia and hypokalemia in growth restricted preterm newborns
Authors: Korček Peter , Straňák Zbyněk 
Published: January 2024

AbstractObjectivesHigh protein parenteral nutrition (HPPN) in the early postnatal period is a recommended strategy for very low birth weight (VLBW) infants. However, limited data is available on electrolyte changes when HPPN strategy is utilized. We investigated the impact of HPPN on the development of hypophosphatemia and hypokalemia in preterm VLBW newborns.MethodsA retrospective, single‐center study investigated the levels of phosphate and potassium in VLBW infants who received HPPN (amino acids intake up to 3.5 g/kg/day) during the first week of life. Preterm infants were divided into two subgroups: appropriate for gestational age (AGA) and small for gestational age (SGA) newborns. Clinical data were obtained from hospital database and medical records.ResultsOverall, 170 VLBW infants were included for the study analysis: 41 SGA (mean birth weight 752 ± 39 g) and 129 AGA infants (mean birth weight 994 ± 23 g). Phosphate and potassium levels were significantly lower in the SGA infants compared to AGA infants (Phosphate: 0.97 ± 0.07 mmol/l vs. 1.44 ± 0.04 mmol/l, p < 0.001; Potassium: 3.0 ± 0.1 mmol/l vs. 3.6 ± 0.1 mmol/l, p < 0.001).ConclusionsRepeated measurement of serum phosphate and potassium is recommended when HPPN strategy is utilized in preterm SGA infants where significant hypophosphatemia and hypokalemia might have serious clinical consequences.
The effect of surfactants on electrokinetic potential of tracer particles and borosilicate glass revealed within the development of SZP technique
Authors: Podlipskaya Tatyana Yu. , Shaparenko Nikita O. , Bulavchenko Alexander I. 
Published: January 2024

AbstractThe surface zeta potential (SZP) technique is a promising method for investigating the electrokinetic properties of various macroscopic surfaces. However, there have been no attempts as yet to use the SZP technique in the presence of surfactants. In this work, we studied the effect of classical low‐molecular surfactants (SDS, АОТ, Triton X‐100, and CTAB) on the properties of tracer particles with different size: commercial polystyrene (PSN, 27.2 ± 0.1 nm), “blue” colloidal (BI‐ZR5, 191 ± 1 nm), and hydrophilic SiO2 particles (520 ± 12 nm) obtained by quartz evaporation under the action of a relativistic electron beam. The initial charge of all the particles was negative. Anionic surfactants (АОТ and SDS) exerted virtually no effect on ζ‐potential up to the concentration of 10−3 M and decreased it by ca. 27% at the concentration of 10−2 M. Nonionic oxyethylated Triton X‐100 increased ζ‐potential but did not recharge the particles. Cationic CTAB recharged the surface of all the particles already at the concentration of 10−5 M; at 10−2 M ζ‐potential reached 39–65 mV. The possibility of applying BI‐ZR5 as the tracer particles to estimate the electrokinetic potential of the borosilicate glass substrate in the presence of CTAB was demonstrated.
Exploring the impact of metaverse tourism experiences on actual visit intentions: An integrated model of presence, the Technology Acceptance Model, and the Theory of Planned Behavior
Authors: Liu Hengyu , Park Keun‐Soo 
Published: January 2024

AbstractThis study seeks to understand the impact of tourist experience of the metaverse on users' actual visit intentions by proposing an integration of the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), using the construct of Presence. We developed a questionnaire‐based experiment in which 478 responses were collected via an online survey to achieve the objectives of the study. Structural equation modeling was used to test the relationships among the proposed constructs. The results indicate that presence is positively associated with perceived ease of use, perceived usefulness, and attitude, respectively. In addition to the relationship between perceived ease of use and attitude, six other hypotheses within the model that merged TAM and TPB were statistically supported. Furthermore, the implications and recommendations based on the results are valuable contributions to the development of metaverse tourism.
Tourist choice of sustainable hot springs tourism under post‐COVID‐19 pandemic period: A case in Colorado
Authors: Ding Li 
Published: January 2024

AbstractHot springs tourism has increasingly attracted tourists who pursue wellness and harmony with the natural environment. This paper investigates how four sustainability‐related attributes influence tourist choice and estimates their marginal willingness to pay for Colorado hot springs tourism under the post‐COVID‐19 pandemic period. A fractional factorial choice experiment design and conditional logit model were used to analyze the choice data of 303 retained respondents collected from the online surveys. The results show the importance of sustainability‐related attributes on tourist choice and suggest the hot springs tourism sector improves destination sustainability to maintain market competitiveness under the post‐COVID‐19 pandemic period.
Strategies for health and wellness tourism development: Thai massage
Authors: Moriuchi Emi , Agrusa Jerome , Lema Joseph 
Published: January 2024

AbstractDriven by changing consumer behavior trends, a transitioning economy, unique cultural and historical traditions, in conjunction with a wide‐ranging exposure to health, wellbeing, and holistic approaches to human needs, Thailand is well suited to accelerate its involvement in this niche market. The purpose of this chapter is to explore the traveler's motivations and revisit intentions to Thailand along with seeking further understanding of emerging patterns within health and wellness travel and how Thai massage complements the tourism system. Through structural equation modelling, we searched the relationships between travel cost motivations and perceived autonomy satisfaction, competence satisfaction, and relatedness satisfaction dimensions.