bluuebunny/crossref_metadata_2025_split huggingface dataset:
A probabilistic neural twin for treatment planning in peripheral pulmonary artery stenosis
Authors: Lee John D. , Richter Jakob , Pfaller Martin R. , Szafron Jason M. , Menon Karthik , Zanoni Andrea , Ma Michael R. , Feinstein Jeffrey A. , Kreutzer Jacqueline , Marsden Alison L. , Schiavazzi Daniele E. 
Published: March 2024

AbstractThe substantial computational cost of high‐fidelity models in numerical hemodynamics has, so far, relegated their use mainly to offline treatment planning. New breakthroughs in data‐driven architectures and optimization techniques for fast surrogate modeling provide an exciting opportunity to overcome these limitations, enabling the use of such technology for time‐critical decisions. We discuss an application to the repair of multiple stenosis in peripheral pulmonary artery disease through either transcatheter pulmonary artery rehabilitation or surgery, where it is of interest to achieve desired pressures and flows at specific locations in the pulmonary artery tree, while minimizing the risk for the patient. Since different degrees of success can be achieved in practice during treatment, we formulate the problem in probability, and solve it through a sample‐based approach. We propose a new offline–online pipeline for probabilistic real‐time treatment planning which combines offline assimilation of boundary conditions, model reduction, and training dataset generation with online estimation of marginal probabilities, possibly conditioned on the degree of augmentation observed in already repaired lesions. Moreover, we propose a new approach for the parametrization of arbitrarily shaped vascular repairs through iterative corrections of a zero‐dimensional approximant. We demonstrate this pipeline for a diseased model of the pulmonary artery tree available through the Vascular Model Repository.
Environmental color analysis and facade color design in a street rehabilitation: Adana, Kayalıbağ
Authors: Özcan Esra Küçükkılıç , Çelik Kasım 
Published: March 2024

AbstractStreets and buildings that become inactive within the historical texture of cities can be restored to the district through rehabilitation projects and color designs, which encourage urbanites to use them more actively. Such spaces are especially important for urban memory, yet they risk losing their integrity over time due to uncontrolled development. Therefore, making them available for urban use is important for socio‐cultural and economic development. This study involves the application, under a rehabilitation project, of a holistic approach to façade color design for buildings located on two streets in the center of Adana, a city in southern Turkey that dates back to the Common Era. The study began with collecting color samples from the area as part of environmental color analyses, after which the colors of the samples were measured. In line with the environmental characteristics that affect color perception, a range of colors with Munsell's equivalent value and hue contrast was considered appropriate for application to the facades of buildings in the Kayalıbağ neighborhood. In the color design, five different hues with high‐value (light) and low chroma were selected to increase the attractiveness of the historically and archeologically highly significant district. The aim of the color design was to increase the livability and attractiveness of the district, while not overshadowing the cultural qualities of the urban environment.
A Density Functional Theory Analysis of Electrochemical Oxidation of Methane to Alcohol over High‐Entropy Oxide (CoCrFeMnNi)3O4 Catalysts
Authors: Kishore M. R. Ashwin , Lee Sungwoo , Yoo Jong Suk 
Published: March 2024

AbstractThe direct conversion of methane into alcohol is a promising approach for achieving a low‐carbon future, yet it remains a major challenge. In this study, we utilize density functional theory to explore the potential of the (CoCrFeMnNi)3O4 (CCFMNO) high entropy oxide (HEO) for electrochemical oxidation of methane to methanol and ethanol, alongside their competition with CO2 production. Our primary focus in this study is on thermodynamics, enabling a prompt analysis of the catalyst‘s potential, with the calculation of electrochemical barriers falling beyond our scope. Among all potential active sites within CCFMNO HEO, we identify Co as the most active site for methane activation when using carbonate ions as oxidants. This results in methanol production with a limiting potential of 1.4 VCHE, and ethanol and CO2 productions with a limiting potential of 1.2 VCHE. Additionally, our findings suggest that the occupied p‐band center of O* on CCFMNO HEO is a potential descriptor for identifying the most active site within CCFMNO HEO. Overall, our results indicate that CCFMNO HEO holds promise as catalysts for methane oxidation to alcohols, employing carbonate ions as oxidants.
Association of combined healthy lifestyle with risk of adverse outcomes in patients with prediabetes
Authors: Xu Xiaoqin , Li Jiang , Yu Yuefeng , Tan Xiao , Xu Fei , Wang Bin , Wang Ningjian , Lu Yingli 
Published: March 2024

AbstractObjectivePrediabetes and lifestyle factors have been associated with the risks of multiple adverse outcomes, but the effect of a healthy lifestyle on prediabetes‐related complications remains unknown. We aimed to investigate whether the risks of multiple adverse outcomes including incident type 2 diabetes mellitus (T2DM), cardiovascular disease (CVD), and chronic kidney disease (CKD) among individuals with prediabetes can be offset by a broad combination of healthy lifestyle factors.MethodsThis prospective study used data from the UK Biobank cohort. An overall lifestyle score ranging from 0 to 6 was created with 1 point for each of the 6 healthy lifestyle factors: no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, no overweight or obese, and adequate sleep duration. T2DM, CVD, and CKD were ascertained during a median follow‐up of 14 years. Cox proportional hazard regression models were used to estimate the associations. Sensitivity analyses were performed to test the robustness of the results.ResultsWe included 202,993 participants without T2DM, CVD, and CKD at baseline (mean age 55.5 years [SD 8.1]; 54.7% were women). Among these participants, 6,745, 16,961, and 6,260 participants eventually developed T2DM, CVD, and CKD, respectively. Compared with the participants with normoglycaemia, those with prediabetes showed a higher risk of these adverse outcomes. In addition, those prediabetic participants with a lifestyle score of 0‐1 had a significantly higher risk of T2DM (hazard ratio [HR] 16.73, 95% CI 14.24, 19.65), CVD (HR 1.96, 95% CI 1.74, 2.21), and CKD (HR 1.92, 95% CI 1.58, 2.34) compared with those with no prediabetes and a score of 5–6. Moreover, among the participants with prediabetes, the HRs for T2DM, CVD, and CKD comparing a lifestyle score of 5–6 versus 0‐1 decreased to 0.43 (95% CI 0.36, 0.51), 0.52 (95% CI 0.44, 0.62), and 0.60 (95% CI 0.46, 0.79), respectively.ConclusionsCombined healthy lifestyle factors were associated with a significantly lower risk of multiple adverse outcomes, including T2DM, CVD, and CKD. This indicates that prioritising multifactorial approaches to behavioural lifestyle modification is crucial for preventing and postponing the development of complications related to prediabetes.
Reduced mTORC1‐signaling in progenitor cells leads to retinal lamination deficits
Authors: Nord Christoffer , Jones Iwan , Garcia‐Maestre Maria , Hägglund Anna‐Carin , Carlsson Leif 
Published: March 2024

AbstractBackgroundNeuronal lamination is a hallmark of the mammalian central nervous system (CNS) and underlies connectivity and function. Initial formation of this tissue architecture involves the integration of various signaling pathways that regulate the differentiation and migration of neural progenitor cells.ResultsHere, we demonstrate that mTORC1 mediates critical roles during neuronal lamination using the mouse retina as a model system. Down‐regulation of mTORC1‐signaling in retinal progenitor cells by conditional deletion of Rptor led to decreases in proliferation and increased apoptosis during embryogenesis. These developmental deficits preceded aberrant lamination in adult animals which was best exemplified by the fusion of the outer and inner nuclear layer and the absence of an outer plexiform layer. Moreover, ganglion cell axons originating from each Rptor‐ablated retina appeared to segregate to an equal degree at the optic chiasm with both contralateral and ipsilateral projections displaying overlapping termination topographies within several retinorecipient nuclei. In combination, these visual pathway defects led to visually mediated behavioral deficits.ConclusionsThis study establishes a critical role for mTORC1‐signaling during retinal lamination and demonstrates that this pathway regulates diverse developmental mechanisms involved in driving the stratified arrangement of neurons during CNS development.
Heteroaryl 2‐Sulfonamide Synthesis by SN2 Reaction–Oxidation Cascade
Authors: Yan Lu , Xu Chaofan 
Published: March 2024

AbstractHeteroaryl 2‐sulfonamides are an important structural moiety in drug discovery. However, reports of the efficient synthesis of these scaffolds are rare. Herein we disclose new reaction conditions to synthesize heteroaryl 2‐sulfonamides from disulfanes and amines through an SN2‐oxidation cascade. The approach is compatible with a wide variety of heteroaryl and amine substrates and can be conducted on a gram scale. A potential Werner Syndrome Protein (WRN) small molecule inhibitor H3B‐968 was also synthesized by this method.
A novel and utilized electrode with boosted biofilm formation and current generation in microbial fuel cells based on chitosan/carbon composite
Authors: Li Ruitao , Ding Yi , Zhang Yue , Mai Ting‐fang , Zhou Wen , Gao Sheng‐chao , Yao Shuya , Gao Tian‐peng , Liu Ying 
Published: March 2024

AbstractThe successful application of bioelectrochemical systems in the future depends on the improving of electrode performance while decreasing material costs. This study explores the use of chitosan supported on different kinds of carbon materials to modify graphite electrode for the electricity generation performance of Geobacter sulfurreducens. The novel hierarchically carbon composites modified electrodes were obtained by a simple and environment‐friendly method. Among the proposed composites, the optimal composite CS/CB (5 h) possessed a better performance for the promotion of electrochemically active biofilm (EAB) growth and enhancing current generation compared with other composites. Based on morphological, chemical, and electrochemical evidences, we conclude that the CB was coated on the surface of CS to form the CS/CB decorated graphite electrode, and CS/CB (5 h) electrode exhibited significant load‐bearing capacity for bacteria colonization and enhanced the contact between bacteria and electrode, which improved the direct electron transfer process. The microbial three‐electrode system equipped CS/CB (5 h) device delivered a high current density of 1457±69 μA/cm2. The current density was increased to 3 times higher than that of the unmodified electrode. The use of this CS/CB (5 h) composite can substantially improves EAB growth and enhance power production of bioelectrochemical systems.
PGD in thermal transient problems with a moving heat source: A sensitivity study on factors affecting accuracy and efficiency
Authors: Strobl Dominic , Unger Jörg F. , Ghnatios Chady , Robens‐Radermacher Annika 
Published: March 2024

AbstractThermal transient problems, essential for modeling applications like welding and additive metal manufacturing, are characterized by a dynamic evolution of temperature. Accurately simulating these phenomena is often computationally expensive, thus limiting their applications, for example for model parameter estimation or online process control. Model order reduction, a solution to preserve the accuracy while reducing the computation time, is explored. This article addresses challenges in developing reduced order models using the proper generalized decomposition (PGD) for transient thermal problems with a specific treatment of the moving heat source within the reduced model. Factors affecting accuracy, convergence, and computational cost, such as discretization methods (finite element and finite difference), a dimensionless formulation, the size of the heat source, and the inclusion of material parameters as additional PGD variables are examined across progressively complex examples. The results demonstrate the influence of these factors on the PGD model's performance and emphasize the importance of their consideration when implementing such models. For thermal example, it is demonstrated that a PGD model with a finite difference discretization in time, a dimensionless representation, a mapping for a moving heat source, and a spatial domain non‐separation yields the best approximation to the full order model.
Long non‐coding RNA CASC15 enhances learning and memory in mice by promoting synaptic plasticity in hippocampal neurons
Authors: Zou Yuankang , Gao Bo , Lu Jiaqiao , Zhang Keying , Zhai Maodeng , Yuan Ziyan , Aschner Michael , Chen Jingyuan , Luo Wenjing , Wang Lei , Zhang Jianbin 
Published: March 2024

AbstractAlzheimer's disease (AD) is a debilitating systemic disorder that has a detrimental impact on the overall well‐being of individuals. Emerging research suggests that long non‐coding RNAs play a role in neural development and function. Nevertheless, the precise relationship between lncRNAs and Alzheimer's disease remains uncertain. The authors' recent discoveries have uncovered an unconventional mechanism involving the regulation of synaptic plasticity and the functioning of the hippocampal fragile X mental retardation protein 1 (FMR1)—neurotrophin 3 (NTF3) pathway, which is mediated by cancer susceptibility candidate 15 (CASC15). Subsequently, functional rescue experiments were performed to illustrate the efficient delivery of exosomes harboring a significant amount of 2610307p16Rik transcripts, which is the murine equivalent of human CASC15, to the hippocampal region of mice. This resulted in significant improvements in synaptic morphological plasticity and cognitive function in APP/PS1 mice. Given the pivotal involvement of CASC15 in synaptic plasticity and the distinctive regulatory mechanisms of the CASC15‐FMR1‐NTF3 axis, CASC15 emerges as a promising biomarker for Alzheimer's disease and may even possess potential as a feasible therapeutic target.
Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
Authors: Jimenez‐Mesa Carmen , Ramirez Javier , Yi Zhenghui , Yan Chao , Chan Raymond , Murray Graham K. , Gorriz Juan Manuel , Suckling John 
Published: March 2024

AbstractNovel features derived from imaging and artificial intelligence systems are commonly coupled to construct computer‐aided diagnosis (CAD) systems that are intended as clinical support tools or for investigation of complex biological patterns. This study used sulcal patterns from structural images of the brain as the basis for classifying patients with schizophrenia from unaffected controls. Statistical, machine learning and deep learning techniques were sequentially applied as a demonstration of how a CAD system might be comprehensively evaluated in the absence of prior empirical work or extant literature to guide development, and the availability of only small sample datasets. Sulcal features of the entire cerebral cortex were derived from 58 schizophrenia patients and 56 healthy controls. No similar CAD systems has been reported that uses sulcal features from the entire cortex. We considered all the stages in a CAD system workflow: preprocessing, feature selection and extraction, and classification. The explainable AI techniques Local Interpretable Model‐agnostic Explanations and SHapley Additive exPlanations were applied to detect the relevance of features to classification. At each stage, alternatives were compared in terms of their performance in the context of a small sample. Differentiating sulcal patterns were located in temporal and precentral areas, as well as the collateral fissure. We also verified the benefits of applying dimensionality reduction techniques and validation methods, such as resubstitution with upper bound correction, to optimize performance.
Investigating the impact of Trombe wall parameters on thermal performance and room temperature in the Iraqi climate
Authors: Ali Mahmud H. , Mawlood Mahmood K. , Jalal Rawand E. 
Published: March 2024

AbstractTrombe wall serves as an effective passive heating element, and its performance is heavily reliant on local climate conditions. This study involved both experimental and numerical analyses of a full‐scale test room equipped with a Trombe wall under Iraqi climate conditions. To facilitate this investigation, an experimental test room was constructed in Kirkuk city with dimensions of 4.0 m × 3.0 m × 2.75 m. In addition, a numerical simulation method based on computational fluid dynamics was developed and a computer code was created to investigate the performance of the system. The accuracy of the developed numerical approach was validated against experimental data collected from the test room. This analysis was conducted specifically for the period of February 17–18, which represents the coldest month of winter in the study area. The performance of the system was assessed with respect to various parameters; air gap width variations (2, 4, 6, and 10 cm), massive wall thickness ranging from 15 to 35 cm with 5 cm increments, channel width options (3, 5, 10, 15, and 20 cm), and vent heights ranging from 5 to 20 cm in 5 cm increments. Furthermore, an investigation of the impact of replacing the air in the air gap with inert gases, specifically argon, krypton, and a mixture of these gases with air was conducted, as well. The outcomes indicate that both the channel width and vent height do not have a significant impact on the system's performance. However, the width of the air gap has a modest effect on system performance, and the best performance was observed with a smaller gap width, specifically 2 cm. The most significant impact on room temperature is observed when the storage wall thickness is varied. In the case of wall thickness of 15 cm, there is a notably higher fluctuation in room temperature between the maximum and minimum values, reaching approximately 16°C. For a wall thickness of 35 cm, however, this fluctuation is significantly reduced to about 3°C. The system efficiency as determined after 24 h of operation period improved significantly when the air was replaced by an inert gases or a mixture of gases in the air gap. Compared to air, the increase in efficiency is about 14.8% for argon, 17.7% for krypton, and 20.6% for the mixture of gases.
Emphasizing worker identification with skills to increase helping and productivity in production: A field experiment
Authors: Franke Henrik , Kwasnitschka Daniel , Schmutz Jan B. , Netland Torbjørn H. 
Published: March 2024

AbstractCan productivity improve if workers identify more with the skills they use in their work environment? This paper reports the results of an experimental design that was peer‐reviewed prior to collecting data. The research setting is a global manufacturer using a novel smartwatch‐based system for distributing work tasks among factory floor workers. Drawing on the concepts of identification and helping in organizations, we hypothesized that fostering workers' identification with their own skills could serve as a mechanism to enhance helping behavior on the factory floor, which should improve productivity. We designed a compound skill‐fostering treatment consisting of communication, meetings, and exercises regarding individual skills. We treat one large factory area for 2 weeks and keep a similar area in a sister factory as a control group for comparison in a difference‐in‐difference model. The results show that nudging skill identification increases workers' identification with skills, but we do not find evidence for increased helping behavior or increased productivity. Our results help develop theory around multiple sub‐identities and provide guidance for future studies seeking to enhance identification in organizations.
Effects of different wall‐breaking methods on the nutrient release of Ganoderma lucidum spore powder during in vitro digestion
Authors: Qi Yaoyao , Zhong Shun , Pan Feng , Zhou Junfu , Wang Zhiyu , Deng Zeyuan , Li Hongyan 
Published: March 2024

AbstractBACKGROUNDThe hard double‐walled structure of Ganoderma lucidum spore powder (GLSP) is difficult for the human body to digest, so it is very important to break the wall of GLSP. In this study, the wall of GLSP was broken by mechanical milling at room temperature (MM‐R) and ultra‐fine grinding at low temperature (UFG‐L), respectively.RESULTSCompared with MM‐R, UFG‐L could better retain the sporangium powder's morphological and structural integrity. During in vitro digestion, compared with unbroken GLSP, the released amounts of polysaccharides and triterpenes from broken GLSP were significantly increased, and they increased with the increase of specific surface area. The bioaccessibility of polysaccharide and triterpene from unbroken GLSP after the intestinal stage were 29.52% and 5.37%, respectively. The bioaccessibility of polysaccharides and triterpene from broken GLSP by MM‐R after the intestinal phase were 39.73–72.45% and 16.44–24.97%, while those by UFG‐L were 44.53–104.18% and 12.96–32.90%, respectively.CONCLUSIONThe active ingredients of broken GLSP showed better digestion and absorption abilities than unbroken GLSP. Moreover, the specific surface area of GLSP by UFG‐L was lower than that by MM‐R, and the bioaccessibility of GLSP by UFG‐L was higher than that by MM‐R. © 2024 Society of Chemical Industry.
Identification of calcium chelating peptides from peanut protein hydrolysate and absorption activity of peptide–calcium complex
Authors: Bu Guanhao , Zhao Xiaoling , Wang Mengli , Ti Guanghui , Chen Fusheng , Duan Xiaojie , Huang Yanan , Li Panxin 
Published: March 2024

AbstractBACKGROUNDPeanut peptides have good chelating ability with metal ions. However, there are few studies on the chelation mechanism of peanut peptides with calcium and absorption properties of peptide–calcium complex.RESULTSPeptides with high calcium chelating rate were isolated and purified from peanut protein hydrolysate (PPH), and the chelation rate of component F21 was higher (81.4 ± 0.8%). Six peptides were identified from component F21 by liquid chromatography–tandem mass spectrometry, and the frequency of acidic amino acids and arginine in the amino acid sequence was higher in all six peptides. Peanut peptide–calcium complex (PPH21‐Ca) was prepared by selecting component F21 (PPH21). Ultraviolet analysis indicated that the chelate reaction occurred between peanut peptide and calcium ions. Fourier transform infrared analysis showed that the chelating sites were carboxyl and amino groups on the amino acid residues of peptides. Scanning electron microscopy revealed that the surface of peanut peptide had a smooth block structure, but the surface of the complex had a granular morphology. Caco‐2 cell model tests revealed that the bioavailability of PPH21‐Ca was 58.4 ± 0.5%, which was significantly higher than that of inorganic calcium at 37.0 ± 0.4%.CONCLUSIONPeanut peptides can chelate calcium ions by carboxyl and amino groups, and the peptide–calcium complex had higher bioavailability. This study provides a theoretical basis for the development of new calcium supplement products that are absorbed easily. © 2024 Society of Chemical Industry.