bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning‐based radiomics in neurodegenerative and cerebrovascular disease
Authors: Shi Ming‐Ge , Feng Xin‐Meng , Zhi Hao‐Yang , Hou Lei , Feng Dong‐Fu 
Published: October 2024

AbstractCognitive impairments, which can be caused by neurodegenerative and cerebrovascular disease, represent a growing global health crisis with far‐reaching implications for individuals, families, healthcare systems, and economies worldwide. Notably, neurodegenerative‐induced cognitive impairment often presents a different pattern and severity compared to cerebrovascular‐induced cognitive impairment. With the development of computational technology, machine learning techniques have developed rapidly, which offers a powerful tool in radiomic analysis, allowing a more comprehensive model that can handle high‐dimensional, multivariate data compared to the traditional approach. Such models allow the prediction of the disease development, as well as accurately classify disease from overlapping symptoms, therefore facilitating clinical decision making. This review will focus on the application of machine learning‐based radiomics on cognitive impairment caused by neurogenerative and cerebrovascular disease. Within the neurodegenerative category, this review primarily focuses on Alzheimer's disease, while also covering other conditions such as Parkinson's disease, Lewy body dementia, and Huntington's disease. In the cerebrovascular category, we concentrate on poststroke cognitive impairment, including ischemic and hemorrhagic stroke, with additional attention given to small vessel disease and moyamoya disease. We also review the specific challenges and limitations when applying machine learning radiomics, and provide our suggestion to overcome those limitations towards the end, and discuss what could be done for future clinical use.
The Advance and Spot Selling Strategy Under Quality Information Asymmetry
Authors: Zhao Pengfei , Guo Qiang 
Published: October 2024

ABSTRACTWe study firms' optimal pricing and quality selection in the advance period and the spot period under the information asymmetry. Our study theoretically demonstrates that the advance price as a signal of quality information can affect the separating and pooling equilibrium. Importantly, we find that separating equilibrium is more favorable for high cost‐efficiency if consumers have low prior probability that the firm is high cost‐efficiency. For the firm with low cost‐efficiency, the benefit of the separating equilibrium is the same as information is common sense. But no matter which equilibrium firms choose, they will target all consumers during the spot period.
Changes in the relaxivity of water‐organic solvent miscible systems: Hidden forces beyond metal ions
Authors: Wu Shiman , Wang Chaochao , Xia Junjie , Sun Dijia , Wu Pu‐Yeh , Wu Yue , Yao Zhenwei , Ren Yan , Zhang Qi 
Published: October 2024

AbstractBackgroundThe relaxivity of magnetic resonance imaging (MRI) contrast agents is primarily attributed to metal ions such as gadolinium (Gd) and iron. However, the impact of organic solutes on relaxivity, particularly through alterations in water molecule dynamics, has not been thoroughly investigated. This research was aimed to explore how organic solutes affect the relaxivities of water and Gd‐based contrast agents (GBCAs), potentially revealing new aspects for the development of contrast agents.PurposeTo investigate the effects of different proportions of water‐soluble organic solvents mixed with pure water and GBCA on T1 and T2 relaxivities.MethodsEthanol, dimethyl sulfoxide (DMSO), 1,4‐dioxane, glycerin, ethylene glycol, diethylene glycol, polyethylene glycol (PEG) 200, and PEG 400 were mixed with ultrapure water in various ratios (100:0, 90:10, 80:20, 70:30, 60:40, 50:50, 40:60, 30:70, 20:80, 10:90, 0:100). GBCA was added to these mixtures at a concentration of 0.05 mmol/L. The mixtures underwent T1 and T2 mapping scans using a 3.0 Tesla MRI machine, and the relaxivities R1 (1/T1) and R2 (1/T2) were calculated and compared.ResultsThe relaxivity R1 of ethanol, 1,4‐dioxane, and DMSO mixtures with water or GBCA, as well as R2 of DMSO mixtures with GBCA, initially increased and then decreased. Conversely, R1 and R2 increased significantly with higher proportions of diethylene glycol, PEG 200, and glycerin in the mixtures with GBCA. The increase in relaxivity R1 was correlated with greater viscosity. When the proportion of DMSO and diethylene glycol exceeded 20%, minimal variability in R2 was observed as the water content decreased.ConclusionsAdding organic solvents to water and paramagnetic relaxation reagents could alter T1 and T2 relaxivities, suggesting potential new directions for modifying current contrast agents. Additionally, increasing the viscosity of the contrast agent was found to enhance the relaxivity.
The Experiences and Perceptions of First Contact Practitioners in Primary Care—A Qualitative Systematic Review
Authors: Thompson Jonathan , Macintosh Fi , Beaumont Nicola , Bedford Lauren , Powley Andrew , Bailey Stephen 
Published: October 2024

ABSTRACTBackgroundFirst Contact Practitioners (FCP) have developed as a more advanced physiotherapy clinical role delivering specialist MSK services in GP practice settings. They aim to support GPs in effectively managing increasing patient workloads. As FCPs are now a more established NHS role, it is important to understand how these clinicians perceive their roles to guide and support future service development.AimsTo review the current evidence regarding the experience of FCPs in the UK. To understand how FCPs perceive their role. To gain an insight into FCP practice which can inform future primary research studies.MethodA systematic review of FCP primary qualitative research studies. Multiple database and grey literature search with screening following PRISMA guidelines. Qualitative critical appraisal and analysis used tools and frameworks from the Joanna Briggs Institute.ResultsThe review reports on 11 included studies which informed the creation of six key concepts impacting upon FCP role experience and perceptions. These were complexity, competency and role development, role understanding, job satisfaction, wellbeing and burnout and service delivery.ConclusionFCP clinicians feel broadly positive about their roles, although they report a clear risk of burnout and associated negative impact on their wellbeing. Job satisfaction is linked to adequate training and developing the competencies required to manage patients in an environment of clinical uncertainty. Having access to regular clinical mentorship is a key requirement and FCPs must adapt to the specific demands of work in a GP practice environment.
Fast Nonlinear Model Predictive Control Combining Online Trajectory Optimization and Value Function Regression
Authors: Neve Thomas , Lefebvre Tom , Crevecoeur Guillaume 
Published: October 2024

ABSTRACTModel predictive control (MPC) is a well‐developed method capable of handling complex control tasks. Implementation of an MPC requires solution of a deterministic finite horizon nonlinear optimal control (OC) problem. OC problems can be solved globally, explicitly expressing the optimal policy (and value function) as a function of the present state, or, locally, using online trajectory optimization, generating a solution that is only valid for the present state. For nonlinear problems however, neither is possible analytically, and the latter, finding a local solution online, is usually preferred. The difficulty with online trajectory optimization is that the solution must be available within a single sampling period. The main parameter affecting the computational demand of MPC is the length of the prediction horizon. The goal in this work is to reduce the length of the prediction horizon of a model predictive controller (MPC) to reduce computation time whilst preserving optimality guarantees. To this end, we propose approximation of the trajectory optimization problem for MPC by learning a finite horizon value function. The approximated value function is inserted into a truncated trajectory optimization problem so that the MPC can be attained with a reduced prediction horizon, ergo reduced computational load. By sampling the value function in a goal oriented way, we show that an effective approximate value function can be found by including both the function value and the gradients of the value function. The result is an accurate approximate MPC which leverages learning methodologies to reduce computational cost while still accounting for constraints.
It's not just a phase: shaping the future of 3D photoprinted polymers with polymerization‐induced phase separation
Authors: Johnson Rebecca M , Smaldone Ronald A 
Published: October 2024

AbstractAdditive manufacturing is a technology that promises to disrupt the conventional manufacturing industry due to its ability to create complex structures with improved macroscopic control not available with existing techniques like molding or milling. In addition to superior macroscopic structural control, photoprinting methods such as digital light projection can enable molecular‐scale control over the fabrication process by taking advantage of the self‐sorting or assembly properties of the monomers themselves. Polymerization‐induced phase separation (PIPS) allows for the remarkable introduction of microscopic control into additive manufacturing, using polymer‐rich and polymer‐poor regions that rely on incompatibilities to phase separate during polymerization creating new complex materials not achieved by traditional methods. With the incorporation of porogens or filler materials, microporosity and/or surface functionalization can be introduced in a facile one‐step printing process. This expands the potential applications of 3D printed materials, to include micro‐ and macroscale structural control. Using PIPS as a design strategy, polymeric materials with previously unprecedented capabilities can be produced with ease enabling 3D printing to grow into its full potential as a manufacturing tool. © 2024 Society of Chemical Industry.
Edinburgh postnatal depression scale score elevation in caregivers of infants with cystic fibrosis
Authors: Gillespie Michelle L. , Jayaram Swati , Eisner Mariah , Sliemers Stephanie , Pasley Kimberly , McCoy Karen , Krivchenia Katelyn 
Published: October 2024

AbstractIntroductionThe diagnosis of cystic fibrosis (CF) can impact the mental health of caregivers. This study aimed to explore prevalence of postpartum depression (PPD) symptoms in caregivers of infants with CF or CFTR‐related metabolic syndrome (CRMS).MethodsThis prospective, observational study was conducted in a CF clinic at a tertiary hospital over 4 years. Caregivers of infants with CF/CRMS completed serial surveys over the first year of life. Surveys included the Edinburgh Postnatal Depression Scale (EPDS), Patient Health Questionnaire‐9 (PHQ‐9) and the General Anxiety Disorder‐7 (GAD‐7). A control group of healthy infant caregivers was used for comparative analysis of EPDS scores.ResultsAnalyses were conducted on 55 caregivers of 42 infants with CF/CRMS and 915 caregivers of healthy infants. Caregivers of infants with CF/CRMS had a significantly higher prevalence of elevated EPDS scores and higher mean EPDS scores for visit 1 (age 1–2mo) and visit 3 (age 6–9mo) compared to healthy controls (p < 0.001 for both). There was a higher prevalence of caregivers identifying thoughts of self‐harm in the CF/CRMS cohort (8.3%) compared to caregivers of healthy controls (1.2%) at visit 1 (p = 0.015) and at visit 3 (CF/CRMS 8.8%; control 1.7%; p = 0.030). EPDS scores correlated with PHQ‐9 and GAD‐7 scores, particularly earlier in the infant's life.ConclusionsCaregivers of infants with CF/CRMS may be at higher risk of PPD and thoughts of self‐harm when compared to healthy controls. Given what is known about the impact of PPD on mental and physical health of children, early identification is vital for this population.
Novel CYCLIN‐O pathogenic variants in a patient presenting with bronchiectasis secondary to reduced generation of multiple motile cilia
Authors: Yap Kim Hoong , Lim Albert Yick Hou , Thomas Biju , Bonnard Carine , Szenker‐Ravi Emmanuelle , Chong Yan Ling , Roy Sudipto , Reversade Bruno 
Published: October 2024

AbstractReduced generation of multiple motile cilia (RGMC) represents a rare variant of Primary Ciliary Dyskinesia (PCD), associated with CYCLIN‐O (CCNO) mutations. We report a novel compound mutation in the CCNO gene in an adult Chinese Singaporean exhibiting chronic productive cough since childhood and recurrent sino‐pulmonary infections. Low nasal nitric oxide and bronchiectasis suggests PCD. Bronchoscopy for epithelial and nasal brushings for ciliary studies were repeated after adequate treatment of lower respiratory tract infections. Demonstration of oligo‐cilia via transmission electron microscopy, and detection of CCNO mutation through genetic analysis were utilized to diagnose RGMC. Repeated courses of antibiotics including nebulised antibiotics were used to treat recurrent infections and exacerbations. Airway clearance techniques, immunizations and collaboration with otorhinolaryngologist form part of the long‐term management. Heightened clinical suspicion and adherence to established diagnostic algorithms are essential for timely recognition of this entity.
Studying the Implementation of Equity Projects in Science Education in Divisive Political Contexts
Authors: Tran Trang C. , Penuel William R. , Singleton Corinne , Bell Philip , Leonhart Sarah 
Published: October 2024

ABSTRACTThe implementation of equity‐oriented reforms is never simply a technical matter: it involves directly engaging with the norms and politics responsible for reproducing inequitable opportunities and outcomes, and with efforts to promote educational justice. To date, there has been little research on how leaders in science education navigate the political environments of schooling to engage in equity work in their local contexts. The current political divisions within and among states regarding teaching about racial equity provide an important and timely context for such study. This study examines equity projects that science education leaders engage in and how these relate to recently passed legislation in several states regarding teaching about race and its ongoing role in shaping American society and institutions. It relies on survey data from science education leaders in 33 states, focusing on their familiarity with and involvement in different kinds of equity projects in science education, along with their perceptions of what supports and what hinders their equity‐focused work. Employing a mixed methods approach, including descriptive analysis, hierarchical linear modeling, and thematic analysis, we found that engagement in equity projects varied widely across and within states. However, in states with laws promoting equity, leaders were engaged in more racial equity‐related projects than in states with legislation that restrict discussion of matters of race, so‐called “gag orders”. These findings underscore the significance of the broader political environments in shaping science education leadership and present opportunities for researchers in the field to support leaders in navigating them.
Estimands and Cumulative Incidence Function Regression in Clinical Trials: Some New Results on Interpretability and Robustness
Authors: Bühler Alexandra , Cook Richard J. , Lawless Jerald F. 
Published: October 2024

ABSTRACTRegression analyses based on transformations of cumulative incidence functions are often adopted when modeling and testing for treatment effects in clinical trial settings involving competing and semi‐competing risks. Common frameworks include the Fine–Gray model and models based on direct binomial regression. Using large sample theory we derive the limiting values of treatment effect estimators based on such models when the data are generated according to multiplicative intensity‐based models, and show that the estimand is sensitive to several process features. The rejection rates of hypothesis tests based on cumulative incidence function regression models are also examined for null hypotheses of different types, based on which a robustness property is established. In such settings supportive secondary analyses of treatment effects are essential to ensure a full understanding of the nature of treatment effects. An application to a palliative study of individuals with breast cancer metastatic to bone is provided for illustration.
Designing 1,2,3‐Triazole Derivatives for Targeted Inhibition of Proteolytic and Coagulant Activities in Bothrops Jararaca and Bothrops neuwiedi Snake Venoms
Authors: Ornellas Brenda Bairral Queiroz , de Oliveira Eduardo Coriolano , Junior Luiz Carlos Simas Pereira , Sanchez Eladio Flores , Costa Dora Cristina Silva , Portella Danielle Pagliaminuto , da Silva Fernando de Carvalho , Gonzaga Daniel Tadeu Gomes , Fuly André Lopes , Ferreira Vitor Francisco 
Published: October 2024

AbstractSnakebites inflict significant injuries on humans and animals, posing a severe global public health challenge due to high mortality and morbidity rates. This study presents results against the venoms of Bothrops jararaca and Bothrops neuwiedi using sixteen synthetic hybrid molecules containing thiophene and triazoles, designated as 6a–h and 7a–h. The compounds were assessed for their ability to inhibit proteolytic and plasma coagulant activities induced by the snake venoms, and their toxicity was analyzed. Most derivatives demonstrated nontoxicity through in silico analysis with the Osiris Property Explorer tool and in vitro cytotoxic hemocompatibility on red blood cells. Notably, only derivative 6e exhibited toxicity to erythrocytes, while 6b, 6d, 7c, and 7f displayed mutagenic, tumorigenic, or adverse effects on the reproductive system. Derivatives 6a, 6c–h, 7c–e, 7g, or 7h effectively inhibited the coagulating activity of B. jararaca venom, while 6a–b, 6d–e, 6h, or 7a–f inhibited coagulation induced by B. neuwiedi venom. All derivatives demonstrated inhibition of the proteolytic activity caused by B. jararaca venom, and derivatives 6a–d and 7e–f inhibited the activity of B. neuwiedi venom. Consequently, these derivatives exhibited varying degrees of efficacy in countering two crucial toxic effects of B. jararaca or B. neuwiedi venoms, suggesting their potential as antivenoms against both species.
Co‐Pyrolytic Recycling of Bakelite and Polymethyl Methacrylate: Kinetic, Synergistic, and Thermodynamic Analysis
Authors: Mohan Mahapatra Pabitra , Kumar Panda Achyut 
Published: October 2024

AbstractBakelite, a thermosetting plastic, has limited feasibility for thermal recycling processes such as pyrolysis, unlike thermoplastics, due to its inherent tendency to get charred upon heating and difficulty in being converted into valuable fuel and chemical compounds. In this study, the co‐pyrolysis of bakelite and poly methyl methacrylate is explored to improve the thermal degradation and thus recycling feasibility of bakelite by pyrolysis. The kinetics and thermodynamics of the co‐pyrolysis of blended samples are analyzed using different kinetics models. The thermal degradation experiments of the sample are conducted from ambient to 1000 °C at five various heating rates of 5, 10, 20, 30, and 50 °C/min in an inert N2 gas environment. The results showed that adding poly methyl methacrylate to bakelite changes the pyrolytic degradation temperature and weight loss trend. The kinetic analysis reveals that the thermal degradation at 220–345 °C follows an F2.5 order‐based model with an average activation energy of 181 kJ/mol, while the degradation at 345–475 °C follows an F2 order‐based model with an average activation energy of 318 kJ/mol. The enthalpy changes and free energy change associated with thermal degradation exhibit a positive trend while that of entropy change shows a negative trend. With blending the free energy change and entropy change decreased while enthalpy change increased. During batch pyrolysis at 450 °C, the PMMA‐Bakelite blend generates oil (49.17 %), wax (12.36 %), residue (15.36 %), and gas (23.11 %). According to FTIR and GC‐MS analyses, the pyrolytic oil produced by the co‐pyrolysis of the blended sample at 450 °C comprises 32.23 % saturated hydrocarbons (C9–40), 20.97 % unsaturated hydrocarbons (C6–24), and 46.80 % oxygenated material (C5–19). These findings can assist in the optimization of pyrolysis reactor design for the recycling of thermosetting plastics.
Probing Host‐Guest Inclusion Complex of DHP with β‐CD in Augmenting Bioavailability to Boost Biochemical Applications Optimized by Physicochemical and Molecular Docking
Authors: Hossain Ayesha , Bomzan Pranish , Roy Priyanka , Tudu Ajit , Mondal Modhusudan , Roy Niloy , Poddar Anindita , Haydar Salman , Dey Sangita , Kumar Anoop , Nath Roy Mahendra 
Published: October 2024

AbstractThis research aims to develop the inclusion complex of 2, 4‐diamino‐6‐hydroxypyrimidine (DHP) with β‐cyclodextrin (β‐CD) using an inclusion process, and to investigate the effect of inclusion on the photo stability and bioactivity of DHP. The formation of DHP‐β‐CD inclusion complex has been examined by means of physicochemical as well as spectroscopic techniques (1H NMR, FT‐IR, PXRD and SEM) suggesting the successful inclusion of the DHP molecule into the β‐CD cavity. The 1 : 1 stoichiometry of the inclusion complex was validated through Job's plot. β‐CD displayed a fairly strong affinity (Ka =889.67 M−1) for DHP, indicating that the binding process is thermodynamically feasible. A molecular docking study speculated the most preferred orientation of DHP molecule within the binding pocket of β‐CD cavity. The photostability of DHP was found to improve on complexation with β‐CD. In vitro antibacterial activity test demonstrated that the DHP‐β‐CD inclusion complex displayed better activity than pure DHP. DHP‐β‐CD inclusion complex (IC50 =240.04 μM) also exhibited relatively significant in vitro cytotoxic activity than pure DHP towards the human kidney cancer cell line (ACHN). These results reveals that the inclusion of DHP using β‐CD could lead to stabilization of DHP and efficient display of its bioactivity.
Syntheses, Structures, and Thermal Decomposition Kinetics of Two Silver/Copper‐Based Coordination Compounds with 1,2,4‐Triazole‐Containing Ligand
Authors: Qu Xiaoni , Xi Qianjin , Zhang Jinxi , Gao Chen , Huang Junpeng 
Published: October 2024

AbstractIn this work, two silver/copper‐based coordination compounds {[Ag(tty)]⋅NO3}n (1) and {[Cu2Cl2(tty)2(H2O)2]⋅Cl⋅NO3 ⋅  (H2O)2}n (2) (tty=1,2,4,5‐tetra(1H‐1,2,4‐triazol‐1‐yl))benzen), were synthesized using the different metal salts under the hydrothermal condition. Structural analyses show that compound 1 features tilted L‐shaped 1D Ag chains structure and compound 2 presents a 2D layer with free Cl−, NO3− and water molecules. The experimental results reveal that 1 displays considerably high thermal stability with the thermal decomposition temperature above 337 °C compared to compound 2, which further exemplifies that the framework structures may have a crucial effect on the resultant thermal stability. Additionally, the non‐isothermal kinetics parameters were evaluated at different heating rates by Kissinger's and Ozawa‐Doyle's methods. Importantly, the kinetic triplets (the apparent activation energy (Ea), the preexponential factor (logA) and the mechanism function (ƒ(α)) and the related thermodynamic parameters (the Gibbs energy of activation, ▵G≠, the enthalpy of activation, ▵H≠, and the entropy of activation, ▵S≠) of the thermal decomposition processes are discussed and calculated in detail.