bluuebunny/crossref_metadata_2025_split huggingface dataset:
Health Shock Effects on Diet: More Severe Shock—Stronger Response?
Authors: Edenbrandt Anna Kristina , Skak‐Hansen Kim Wadt , Smed Sinne 
Published: January 2025

ABSTRACTWe investigate whether the severity of lifestyle‐related health shocks affects the response in dietary patterns. Using data from official patient registers in Denmark, we analyze the effects from strong health shock (SHS) occurrences (cardiovascular disease) and mild health shock (MHS) occurrences (arterial hypertension and hypercholesterolemia). These data are combined with scanner data on food purchases obtained from a consumer panel. Our analysis examines dietary effects stemming from these health shocks, including various nutrients, food groups, and overall adherence to dietary guidelines. Our findings reveal immediate dietary responses to both severe and mild health shocks, with a larger effect observed for SHS compared to MHS. However, among individuals previously exposed to mild health shocks, we observe minimal to no alteration in food consumption after experiencing a SHS. We argue that failing to account for this potential self‐selection may lead to a misconception that severe health shocks do not result in dietary improvements.
Continental Preferences in Reconstruction of Pharyngolaryngectomy Defects: A Multi‐National Survey
Authors: Karantanis William , Larson Andrew R. , Singh Ravjit , Deschler Daniel G. , Pai Prathamesh S. , Havas Thomas E. 
Published: January 2025

ABSTRACTObjectivesReconstruction of total pharyngolaryngectomy defects may restore pharyngeal function and enable tracheoesophageal speech after resection of locoregionally advanced malignancy. Little remains known about variations in the practices and preferences of surgeons across differing global regions.MethodsA survey was sent to reconstructive head and neck surgeons across three continents with responses analyzed to evaluate trends.ResultsOf 155 respondents, 79.4% (n = 123) completed the survey including surgeons from North America (USA/Canada), the Indian Subcontinent (India/Bangladesh) and Australia/New Zealand. Among surgeons trained in pedicle flap reconstruction, only 47.5% performed these procedures after completion of training. Pedicle flaps were performed most frequently by surgeons from the Indian subcontinent. The anterolateral thigh flap was most popular among surgeons for free flap reconstruction, 58.5% (n = 72).ConclusionThis study demonstrates significant region‐based variation in preferred reconstructive modality, suggesting location of practice and institutional experience influence the reconstructive algorithms of head and neck surgeons.
Structure and Magnetic Properties of a Series of Uranium Bis‐Siloxide Complexes
Authors: Barluzzi Luciano , Zivkovic Ivica , Fadaei‐Tirani Farzaneh , Clérac Rodolphe , Mazzanti Marinella 
Published: January 2025

AbstractDespite their synthetic interest and potential attractive properties, the preparation of heteroleptic U(III) complexes containing monodentate ligands remains challenging. Here we report the synthesis, structure and magnetic properties of three heteroleptic U(III) complexes containing two siloxide donors in the coordination sphere. The bis‐siloxide monoiodide complex [U(OSi(OtBu)3)2I(thf)3], 1 provides a very attractive precursor for accessing heteroleptic complexes and rationally modify the binding angle between the two strongly donating siloxide ligands. Here we reacted 1 with macrocyclic ligands to yield complexes [[U(OSi(OtBu)3)2(crypt)]I, 3 and [[U(OSi(OtBu)3)2(18c6)]I, 4. Magnetic studies of these compounds offer a snapshot on how the SMM properties depend on the local symmetry in the presence of siloxide ligands. The static and dynamic magnetic properties of these compounds reveal a weak dependence of their single‐molecule magnet behavior on the local symmetry.
Epigenomics‐guided precision oncology: Chromatin variants in prostate tumor evolution
Authors: Furlano Kira , Keshavarzian Tina , Biernath Nadine , Fendler Annika , de Santis Maria , Weischenfeldt Joachim , Lupien Mathieu 
Published: January 2025

AbstractProstate cancer is a common malignancy that in 5%–30% leads to treatment‐resistant and highly aggressive disease. Metastasis‐potential and treatment‐resistance is thought to rely on increased plasticity of the cancer cells—a mechanism whereby cancer cells alter their identity to adapt to changing environments or therapeutic pressures to create cellular heterogeneity. To understand the molecular basis of this plasticity, genomic studies have uncovered genetic variants to capture clonal heterogeneity of primary tumors and metastases. As cellular plasticity is largely driven by non‐genetic events, complementary studies in cancer epigenomics are now being conducted to identify chromatin variants. These variants, defined as genomic loci in cancer cells that show changes in chromatin state due to the loss or gain of epigenomic marks, inclusive of histone post‐translational modifications, DNA methylation and histone variants, are considered the fundamental units of epigenomic heterogeneity. In prostate cancer chromatin variants hold the promise of guiding the new era of precision oncology. In this review, we explore the role of epigenomic heterogeneity in prostate cancer, focusing on how chromatin variants contribute to tumor evolution and therapy resistance. We therefore discuss their impact on cellular plasticity and stochastic events, highlighting the value of single‐cell sequencing and liquid biopsy epigenomic assays to uncover new therapeutic targets and biomarkers. Ultimately, this review aims to support a new era of precision oncology, utilizing insights from epigenomics to improve prostate cancer patient outcomes.
Modelling of Cowpea Response to Varying Irrigation and SAP Levels Under Greenhouse Conditions Using AquaCrop
Authors: Benard Dorcas Ndunge , Obiero J. P. O. , Mbuge D. O. , Marta Anna Dalla 
Published: January 2025

ABSTRACTIrrigation water management is key to promoting resilient crop production amidst the increasing effects of climate change. Super absorbent polymer (SAP) is an innovative technology for conserving irrigation water within arid and semi‐arid lands (ASALs). AquaCrop, a water productivity model, has been used for irrigation water management. This study aimed to model the response of cowpea to various irrigation and SAP levels under greenhouse conditions via AquaCrop. The experiments included five SAP application rates [0% (control), 0.05%, 0.1%, 0.15% and 0.2% to weight of the soil substrate] and five irrigation levels [full irrigation (FI), and 80%, 70%, 60% and 30% FI]. The AquaCrop model simulations matched the observed values with a normalized root mean square error of less than 16%. The simulated yield and biomass for full irrigation and 0% SAP were 5.1 and 11.0 t/ha, respectively, whereas the observed values were 5.3 and 10.8 t/ha, respectively. Treatments with SAP showed increased yield, biomass, water productivity (WPET) and harvest index (HI) with increased water stress up to 137%, 17%, 10% and 117%, respectively. Thus, SAP can improve crop production, and the AquaCrop model is suitable for improving irrigation water productivity within ASALs where water is scarce.
Application of Self‐Healing Hydrogels in the Treatment of Intervertebral Disc Degeneration
Authors: Guo Cunliang , Jiao Xinyi , Du Xiaoxun , Zhang Tongxing , Peng Bing , Xu Baoshan 
Published: January 2025

ABSTRACTIntervertebral disc degeneration (IDD) is one of the leading causes of chronic pain and disability, and traditional treatment methods often struggle to restore its complex biomechanical properties. This article explores the innovative application of self‐healing hydrogels in the treatment of IDD, offering new hope for disc repair due to their exceptional self‐repair capabilities and adaptability. As a key support structure in the human body, intervertebral discs are often damaged by trauma or degenerative changes. Self‐healing hydrogels not only mimic the mechanical properties of natural intervertebral discs but also self‐repair when damaged, thereby maintaining stable functionality. This article reviews the self‐healing mechanisms and design strategies of self‐healing hydrogels and, for the first time, outlines their potential in the treatment of IDD. Furthermore, the article looks forward to future developments in the field, including intelligent material design, multifunctional integration, encapsulation and release of bioactive molecules, and innovative combinations with tissue engineering and stem cell therapy, offering new perspectives and strategies for IDD treatment.
Magnetic Resonance Acoustic Radiation Force Imaging (MR‐ARFI)
Authors: Odéen Henrik , Payne Allison H. , Parker Dennis L. 
Published: January 2025

This review covers the theoretical background, pulse sequence considerations, practical implementations, and multitudes of applications of magnetic resonance acoustic radiation force imaging (MR‐ARFI) described to date. MR‐ARFI is an approach to encode tissue displacement caused by the acoustic radiation force of a focused ultrasound field into the phase of a MR image. The displacement encoding is done with motion encoding gradients (MEG) which have traditionally been added to spin echo‐type and gradient recalled echo‐type pulse sequences. Many different types of MEG (monopolar, bipolar, tripolar etc.) have been described and pros and cons are discussed. We further review studies investigating the safety of MR‐ARFI, as well as approaches to simulate the MR‐ARFI displacement. Lastly, MR‐ARFI applications such as for focal spot localization, tissue stiffness interrogation following thermal ablation, trans‐skull aberration correction, and simultaneous MR‐ARFI and MR thermometry are discussed.Evidence LevelN/ATechnical EfficacyStage 1
Unveiling the Dynamics of User Engagement: Exploring Factors Shaping User Intentions and Return Behavior in Hotel Gamified Mobile Applications
Authors: Parapanos Demos , Michopoulou Eleni 
Published: January 2025

ABSTRACTThe surge in mobile technologies has prompted extensive research, driven by the widespread adoption of mobile devices and advancements in related technologies. Within the hospitality industry, mobile applications have fundamentally altered consumer behavior, highlighting the insufficiency of merely establishing a mobile presence for increased engagement. In contrast, the gaming industry has effectively explored factors influencing usage, achieving both engagement and profitability. The evolution of mobile gaming applications suggests ample opportunity for the proliferation of gamified applications. Utilizing quantitative data from 763 mobile users with hotel visitation experience, using CFA the study identifies six factors (i.e., perceived ease of use, perceived enjoyment, interactivity), that collectively play a crucial role in influencing users' decisions not only to initially adopt but also to revisit and sustain their interaction with hotel gamified mobile apps. The research enriches theoretical understanding of mobile use behavior in the hospitality sector, offering valuable insights for hotel marketers to optimize the design and promotion of gamified mobile applications, thereby shaping users' return behavior.
Successful Linkage of Electronic Medical Records and National Health Data System in Type 2 Diabetes Research: Methodological Insights and Implications
Authors: Goff Romane Le , Brice Sandrine , Contini Andrea , Boussac Marjorie , Souche Arnaud , Belloc Fabien , Coulombel Nicolas , Collin Cédric , Gouverneur Amandine , Molimard Mathieu 
Published: January 2025

ABSTRACTPurposeThis study assesses success and methodological implications of linking IQVIA's Electronic Medical Records (EMR) of type 2 diabetes (T2D) patients with the National Health Data System (SNDS) database, a cornerstone process in healthcare research.MethodsThe OREOT cohort was constituted by T2D patients identified in the IQVIA EMR from 2014 to 2018 and linked indirectly to SNDS database. The EMR database contains clinical records from general practitioner consultations, representing ~2.8% of the French population and the SNDS claims database covers over 99% of the French population's healthcare activities. Linkage success was evaluated by the linkage rate. Baseline patients' characteristics were described for both linked and non‐linked patients.ResultsOf the 291 408 T2D patients identified in the EMR, 244 656 (84%) were successfully linked. After technical data cleaning, 239 141 (82%) were finally linked. Linked and non‐linked patients (n = 52,267) were aged 65 years and more frequently male (57% and 59%); half were obese, and most of comorbidities were consistent. Linked patients had more EMR consultations (median 32 vs 16), and more cardiovascular events (12% vs 7%) or chronic kidney disease (10% vs 7%).ConclusionsThe successful linkage of EMR and SNDS databases provides valuable insights for future research in T2D and other chronic diseases requiring clinical data. This study demonstrates the feasibility of such data alignments, particularly in patients with complex health profiles or extensive medical records, and linkage potential to enhance real‐world research quality. Despite higher prevalence of baseline comorbidities among linked patients, patients' characteristics were consistent with French T2D population.
Use of Potentially Nephrotoxic Drugs in Type 2 Diabetes Patients on SGLT2i: A Trajectories Analysis
Authors: Yang Lanting , Guo Jingchuan , Kane‐Gill Sandra L , Gabriel Nico , Empey Kerry M , Suh Kangho , Kirisci Levent , Hernandez Inmaculada 
Published: January 2025

ABSTRACTPurposeTo characterize trajectories of nephrotoxic potential (NxP) drug use among older adults with Type 2 Diabetes (T2D) treated with SGLT2is and identify associated patient characteristics.MethodsUsing 2012–2019 Medicare data, we selected patients with T2D who filled at least one prescription for SGLT2is. Index date was the date of the first SGLT2i prescription filled. We quantified the number of drugs with NxP used every month during the first 12 months following the index date. The monthly counts of drugs with NxP were incorporated into the group‐based trajectory model to identify groups with similar drug use patterns. Finally, we performed a multinomial logistic regression model to examine the association between patient characteristics and group membership.ResultsThe study cohort comprised 8811 Medicare beneficiaries with T2D who initiated SGLT2i during the study period with the mean age 67.5 ± 10.6 years. We identified 3 trajectories NxP drug use: no (n = 2142, 24%), low (n = 4752, 54%) and high (n = 1917, 22%) use of drugs with NxP, with patients falling into these categories based on the number of drugs with NxP they used over the time: no drugs, one drug, or two or more drugs. Age, gender, low‐income subsidy eligibility and clinical characteristics were associated with group membership.ConclusionsWe successfully identified three trajectory groups, with a substantial proportion of patients showing low use of drugs with NxP. Both social and clinical factors were associated with the use of NxP drugs.
Tubular EVA copolymer/SiO2/PEG composite membrane for CO2 removal from household biogas
Authors: Watasit Prachya , Ausavasukhi Artit , Rukchonlatee Suparat , Sooknoi Tawan , Ritvirulh Chonlada 
Published: January 2025

AbstractThe fuel efficiency of household biogas is generally regulated by its CO2 content (25%–50%). To improve its heating value, atmospheric CO2 removal of household biogas using a polymeric membrane was attempted to avoid a complicated separation process. A tubular membrane of poly(ethylene‐co‐vinyl acetate), composed of 28% and 18% vinyl acetate (E28 and E18) modified with SiO2 and polyethylene glycol (PEG), was fabricated by blown film extrusion. Model biogas containing CO2/CH4 (40/60 v/v) was separated in an in‐house continuous gas separation module, in which CO2 was mainly permeated out of the tubular membrane at atmospheric pressure. Blending the E28 matrix with E18 (10 wt%) improves the membrane processability and inhibits the CH4 permeation, leading to enhanced CO2/CH4 selectivity (from ~2.3 to 2.9). Well‐dispersed SiO2 particles (0.5 wt%) increase the membrane modulus and suppress CH4 loss. However, adding more SiO2 (0.75–1.0 wt%) leads to higher total gas permeation flux with lower CO2/CH4 selectivity due to particle agglomeration. Incorporation of PEG (0.5–1.5 wt%) increased the membrane polarity and CO2 permeability. The CO2/CH4 selectivity was also improved (~5.3), only up to 1.0 wt% PEG content.Highlights
Composite EVA/SiO2/PEG membrane separates CO2/CH4 at atmospheric pressure.
The concentration gradient across the membrane drives CO2/CH4 permeation.
Adding SiO2 hinders CH4 permeability and enhances CO2/CH4 selectivity.
Increasing PEG content enhances membrane polarity and interaction with CO2.
Bayesian Sample Size Calculation in Small n, Sequential Multiple Assignment Randomized Trials (snSMART)
Authors: Fang Fang , Tamura Roy N. , Braun Thomas M. , Kidwell Kelley M. 
Published: January 2025

ABSTRACTA recent study design for clinical trials with small sample sizes is the small n, sequential, multiple assignment, randomized trial (snSMART). An snSMART design has been previously proposed to compare the efficacy of two dose levels versus placebo. In such a trial, participants are initially randomized to receive either low dose, high dose or placebo in stage 1. In stage 2, participants are re‐randomized to either dose level depending on their initial treatment and a dichotomous response. A Bayesian analytic approach borrowing information from both stages was proposed and shown to improve the efficiency of estimation. In this paper, we propose two sample size determination (SSD) methods for the proposed snSMART comparing two dose levels with placebo. Both methods adopt the average coverage criterion (ACC) approach. In the first approach, the sample size is calculated in one step, taking advantage of the explicit posterior variance of the treatment effect. In the other two step approach, we update the sample size needed for a single‐stage parallel design with a proposed adjustment factor (AF). Through simulations, we demonstrate that the required sample sizes calculated using the two SSD approaches both provide the desired power. We also provide an applet to allow for convenient and fast sample size calculation in this snSMART setting.
Advances in Research on Marine Natural Products for Modulating the Inflammatory Microenvironment
Authors: Li Yuru , Li Guangjie , Feng Jingwen , Li Songlin , Liu Ning 
Published: January 2025

ABSTRACTIn recent years, marine natural products (MNPs) have emerged as crucial sources of lead compounds for the advancement of anti‐inflammatory drugs due to their abundant diversity, complexity, and distinctiveness. Inflammatory microenvironments (IMEs) are pervasive pathological features in the etiology of various chronic diseases, referring to the localized milieu or ecosystem where inflammatory responses occur, and they play a pivotal role in the onset and progression of inflammatory diseases. Uncontrolled IMEs can lead to dysregulation of inflammatory mediators within signaling pathways, thereby exerting detrimental effects on human health and even contributing to the development of inflammatory diseases such as cancer. Currently, inflammation treatment predominantly relies on chemical drugs. Nevertheless, these existing therapies are constrained by their numerous side effects and slow remission of symptoms. Consequently, there is an urgent need for the discovery and development of new drugs that exhibit minimal side effects while exerting potent anti‐inflammatory effects. This article extensively explored the activities and mechanisms of MNPs (covering studies from 2010 to 2024) regulating key signaling pathways and inflammatory mediators in the IME, which establishes a theoretical basis for the further development of anti‐inflammatory drugs.
Optimal Design of S2‐EWMA Control Chart with Estimated Parameters Based on Median Run Length and Expected Median Run Length
Authors: Ong KerHsin , Teh SinYin , Soh KengLin , Chong Zhi Lin , Khoo Michael BoonChong 
Published: January 2025

ABSTRACTControl chart application is essential in improving overall production yield and enhancing product quality. Basically, known parameters and estimated parameters have different effects on control chart properties. This work aims to study the effects of parameter estimation for the Shewhart S‐chart and S2 EWMA control chart in the context of process variance monitoring. The methodologies to optimally design both the charts in terms of median run length (MRL), standard deviation run length (SDRL), expected median run length (EMRL), and the expected standard deviation run length (ESDRL) are proposed. Then, through simulation studies and real word case analyses, the impacts of parameter estimation on control chart properties are assessed. Results show that both the Shewhart S‐chart and S2 EWMA control chart react differently with estimated parameters. The estimated Shewhart S‐chart is less sensitive to changes in terms of subgroup size (m) but the sensitivity improves as the sample size (n) increases. Instead, the estimated S2 EWMA control chart shows better chart sensitivity to both m and n. This demonstrates that the control chart is more responsive to changes in m, making it effective when it comes to detecting variations associated with changes in m. Ultimately, acquiring knowledge about parameter estimation on control chart properties helps practitioners to efficiently implement control chart applications in real‐life scenarios.
Data‐Driven Stealthy Attacks Detection in Cyber‐Physical Systems Based on Complex Dynamical Networks Encoding Strategy
Authors: Wang Jun‐Lan , Li Xiao‐Jian 
Published: January 2025

ABSTRACTThis article develops a novel data‐driven stealthy attack detection strategy for a class of cyber‐physical systems (CPSs) with external disturbances. First, it is proved that there exists a class of data‐driven stealthy attacks designed by the subspace identification method, which cannot be detected by the existing detection protocols including the constant matrix‐based encoding strategy. Then, in order to overcome this difficulty, the complex dynamical networks (CDNs) and the encoding/decoding technique are introduced to detect the data‐driven stealthy attacks. In particular, the synchronization technique is adopted to ensure the consistency of the key sequences in encoding/decoding process, so that the encoded information on the decoder can be correctly recovered without attacks. In addition, the case of information leakage is analyzed, and it is demonstrated that the existing encoding detection strategy based on single node chaotic systems is ineffective, while the proposed one enhances the complexity of the encoding link and can still distinguish the stealthy attacks. In the end, simulations for the model of a DC motor system are performed to verify the effectiveness of the presented CDNs‐based encoding detection scheme.
From Social Responsibility to Market Leadership: The Role of Targeted Poverty Alleviation in Enhancing Firm Competitiveness
Authors: Li Rensi , Tian Haowen , Wu Sirui 
Published: January 2025

ABSTRACTThis study examines the impact of corporate participation in targeted poverty alleviation on product market competitiveness, using a research timeframe of 2011 to 2020 and focusing on Chinese publicly listed firms. Applying a difference‐in‐differences model, we find that engagement in targeted poverty alleviation significantly enhances product market competitiveness, especially for firms pioneering industrial poverty alleviation and those in highly competitive markets. Additionally, participation in these initiatives drives corporate innovation, mitigates financial constraints, boosts employee productivity, and strengthens trade credit. These results demonstrate positive stakeholder responses—including governments, employees, suppliers, and customers—toward corporate sustainability endeavors.