bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybrid surrogate model combining physics and data for seismic drift estimation of shear‐wall structures
Authors: Fei Yifan , Liao Wenjie , Zhao Pengju , Lu Xinzheng , Guan Hong 
Published: May 2024

AbstractTo address the issue of costly computational expenditure related to high‐fidelity numerical models, surrogate models have been widely used in various engineering tasks, including design optimization. Despite the successful application of the existing surrogate models, physics‐based models depend largely on simplifications and assumptions, which render parameter calibration challenging; whereas data‐driven models require substantial data to reach their full potential, with their performance often being constrained in tasks when obtaining massive data is difficult. In this study, a hybrid surrogate model is proposed combining physics‐based and data‐driven models to rapidly estimate building seismic responses. The application of this model is exemplified through effective estimation of inter‐story drift ratios (IDRs), being a critical factor in shear‐wall structure design. Initially, a data augmentation technique and a parametric modeling procedure are introduced to significantly enhance the dataset diversity. Subsequently, a task decomposition strategy is proposed to effectively integrate a data‐driven graph neural network (GNN) and a physics‐based flexural‐shear model. Additionally, the output layer and the loss function of the GNN are modified to enhance the estimation accuracy by eliminating fundamental errors. Results of numerical experiments indicate that the proposed hybrid model can complete IDR estimations in an average time of 0.56 s, with a mean absolute percentage error of 12.7%. This performance significantly surpasses that of existing purely data‐driven and physics‐based models. A case study shows that the efficiency of the proposed hybrid model is approximately 100 times greater than that of conventional finite element software. This enables an accurate assessment of the design compliance with code requirements. The results of this study can be applied to the design optimization of seismic‐resistant building structures.
Morphological and structural characteristics of preferential flow and its influencing factors on colluvial deposits of Benggang
Authors: Zhang Liting , Zhan Zhenzhi , Zhang Zhenggang , Yang Qiaoqiao , Zhou Man , Lin Jinshi , Zhang Yue , Huang Yanhe , Jiang Fangshi 
Published: May 2024

AbstractPreferential flow plays a vital role in infiltration processes in structured soil. However, knowledge of preferential flow in colluvial deposits of Benggang remains limited. In this study, three typical colluvial deposits with different formation times were selected. The formation times of colluvial deposits A, B and C increased in sequence. Water infiltration in colluvial soil was visualized through Brilliant Blue dye experiments (a total of 90 photos from the dyed soil profiles). The dye morphological characteristics of preferential flow were analysed, and the influencing factors were explored. The dye morphological parameters confirmed the occurrence of preferential flow in the colluvial deposits. The dye coverage of colluvial deposit A was the greatest (61.12%), followed by colluvial deposits B (50.41%) and C (46.81%). The matrix flow depth, preferential flow fraction and length index of colluvial deposits A and B were greater than those of colluvial deposit C. Preferential flow was more notable in colluvial deposits A and B than in colluvial deposit C. The migration process of dyed water varied spatially. There were more preferential flow paths at a 10 cm horizontal width. In addition to the bulk density and saturated hydraulic conductivity, the soil particle composition, especially the gravel content (r = 0.740), was closely related to the observed dye coverage. According to the principal component analysis results, the soil particle composition imposed the greatest influence on the formation of preferential flow in the colluvial deposits, with a contribution of 45.24%. The results provide a theoretical reference for explaining the mechanism of soil infiltration processes and a systematic basis for the treatment of colluvial deposits.
Modeling the dissemination of privacy information in online social networks
Authors: Zhu Nafei , Li Wenhui , Pan Shijia , Jin Shuting , He Jingsha 
Published: May 2024

AbstractDriven by the rapid development of information technology, online social networks (OSNs) have experienced a fast development in recent years, allowing increasingly more people to share and spread information over OSNs. The rapid rise of OSN platforms such as Facebook and Twitter is sufficient evidence of such development. As one type of information, privacy information can also be created and disseminated over an OSN, posing a severe threat to individual privacy. This article attempts to construct a model for disseminating privacy information in OSNs and to analyze the model by simulating the dissemination process of privacy information in OSNs. First, we establish network models that exhibit the main characteristics of OSNs. Second, by considering the factors related to social relationships, especially intimacy between users and the attention of users to the privacy subject, we derive the parameters for privacy information dissemination models in OSNs. Third, based on the theory of information dissemination dynamics, we construct a model for information dissemination that conforms to the properties of privacy information. We also present some experimental results based on the constructed model and analyze the characteristics of privacy information dissemination. Fourth, we study and verify the various properties of the model through a set of experiments. The proposed model provides the opportunity to better understand the dynamics of privacy information dissemination in OSNs and the effect of user behavior on dissemination.
Phytochemicals profiling of Cassia fistula fruit extract and its effect on serum lipids and hematological parameters in high‐fat diet‐induced hyperlipidemic female rats
Authors: Tariq Maryam , Ahmad Nazir , Nisa Mahr Un , Rahim Muhammad Abdul , Zongo Eliasse 
Published: May 2024

AbstractCassia fistula (C. fistula) has shown strong anti‐inflammatory, hepatoprotective, antitussive, antibacterial, and antifungal properties and is being used for healing wounds and gastrointestinal illness. This study was planned to obtain fruit extract from C. fistula using ultrasonic‐assisted extraction (UAE) technique and evaluated for phytochemical contents, anti‐hyperlipidemia, and hematological parameters. The results showed that total phenolic (TPC), total flavonoids (TFC), condensed tannin (CT), and saponins were 13.07 mg GAE/g, 5.24 mg QE/g, 4.01 mg/g, and 27.55%, respectively, in the extract. Proximate composition of the extract showed 2.48%, moisture, 1.25% fat, 2.80% ash, 4.59% fiber, 11.93% protein, and 76.95% NFE. The 2, 2‐diphenyl‐1‐picrylhydrazyl (DPPH) and ferric reducing antioxidant power assay (FRAP) activity was 63.30 μg/mL and 15.02 nmol/g, respectively. High‐fat diet (HFD)‐induced hyperlipidemic rats were orally administrated with 0.5 and 1.0 g of extract/kg body weight (bw) daily. The reduction of total cholesterol (TC: 90.83 ± 8.86 mg/dL), triglycerides (TG; 74.16 ± 9.10 mg/dL), and low‐density lipoproteins (LDL; 74.83 ± 4.66 mg/dL) and increase of high‐density lipoproteins (HDL; 41.83 ± 8.4 mg/dL) was observed. Significant changes in red blood cells (RBCs; 8.03 ± 0.67106/μL), mean corpuscular hemoglobin concentration (MCHC; 35.02 ± 1.78 g/dL), mean corpuscular hemoglobin (MCH; 18.00 ± 0.26 pg), and mean corpuscular volume (MCV; 55.36 ± 4.01 fL) at 1.0 g extract intake was observed. Extract administration also improved significantly liver enzymes, body weight, and liver morphology. Therefore, C. fistula extract can be effectively used as a therapeutic agent to improve serum biochemistry and hematological values.
Treatment outcomes in patients with large B‐cell lymphoma after progression to chimeric antigen receptor T‐cell therapy
Authors: Iacoboni Gloria , Iraola‐Truchuelo Josu , O'Reilly Maeve , Navarro Víctor , Menne Tobias , Kwon Mi , Martín‐López Ana África , Chaganti Sridhar , Delgado Javier , Roddie Claire , Pérez Ariadna , Norman Jane , Guerreiro Manuel , Gibb Adam , Caballero Ana Carolina , Besley Caroline , Martínez‐Cibrián Nuria , Mussetti Alberto , Sanderson Robin , Luzardo Hugo , Iyengar Sunil , Sánchez Jose Maria , Jones Ceri , Sancho Juan‐Manuel , Barba Pere , Latif Anne‐Louise , López‐Corral Lucia , Hernani Rafael , Reguera Juan Luis , Sureda Anna , Garcia‐Sancho Alejandro Martin , Bastos Mariana , Abrisqueta Pau , Kuhnl Andrea 
Published: May 2024

AbstractOver 60% of relapsed/refractory (R/R) large B‐cell lymphoma (LBCL) patients who receive chimeric antigen receptor (CAR) T cells will experience disease progression. There is no standard next line of therapy and information in this setting is scarce and heterogeneous. We analyzed 387 R/R LBCL patients who progressed after CAR T cells from July 2018 until March 2022 in Spain and the United Kingdom. Median overall survival (OS) was 5.3 months, with significant differences according to the interval between infusion and progression (<2 months [1.9 months], 2–6 months [5.2 months], and >6 months [not reached]). After progression, 237 (61%) patients received treatment. Focusing on the first subsequent therapy, overall (complete) response rates were 67% (38%) for polatuzumab–bendamustine–rituximab (POLA), 51% (36%) for bispecific antibodies (BsAb), 45% (35%) for radiotherapy (RT), 33% (26%) for immune checkpoint inhibitors (ICIs), 25% (0%) for lenalidomide (LENA), and 25% (14%) for chemotherapy (CT). In terms of survival, 12‐month progression‐free survival and OS was 36.2% and 51.0% for POLA, 32.0% and 50.1% for BsAb, 30.8% and 37.5% for RT, 29.9% and 27.8% for ICI, 7.3% and 20.8% for LENA, and 6.1% and 18.3% for CT. Thirty‐two (14%) patients received an allogeneic hematopoietic cell transplant with median OS not reached after a median follow‐up of 15.1 months. In conclusion, patients with R/R LBCL who progress within the first 2 months after CAR T‐cell therapy have dismal outcomes. Novel targeted agents, such as polatuzumab and BsAbs, can achieve prolonged survival after CAR T‐cell therapy failure.
Toward a more patient‐centered drug development process in clinical trials for patients with myelodysplastic syndromes/neoplasms (MDS): Practical considerations from the International Consortium for MDS (icMDS)
Authors: Efficace Fabio , Buckstein Rena , Abel Gregory A. , Giesinger Johannes M. , Fenaux Pierre , Bewersdorf Jan Philipp , Brunner Andrew M. , Bejar Rafael , Borate Uma , DeZern Amy E. , Greenberg Peter , Roboz Gail J. , Savona Michael R. , Sparano Francesco , Boultwood Jacqueline , Komrokji Rami , Sallman David A. , Xie Zhuoer , Sanz Guillermo , Carraway Hetty E. , Taylor Justin , Nimer Stephen D. , Della Porta Matteo Giovanni , Santini Valeria , Stahl Maximilian , Platzbecker Uwe , Sekeres Mikkael A. , Zeidan Amer M. 
Published: May 2024

AbstractNotable treatment advances have been made in recent years for patients with myelodysplastic syndromes/neoplasms (MDS), and several new drugs are under development. For example, the emerging availability of oral MDS therapies holds the promise of improving patients' health‐related quality of life (HRQoL). Within this rapidly evolving landscape, the inclusion of HRQoL and other patient‐reported outcomes (PROs) is critical to inform the benefit/risk assessment of new therapies or to assess whether patients live longer and better, for what will likely remain a largely incurable disease. We provide practical considerations to support investigators in generating high‐quality PRO data in future MDS trials. We first describe several challenges that are to be thoughtfully considered when designing an MDS‐focused clinical trial with a PRO endpoint. We then discuss aspects related to the design of the study, including PRO assessment strategies. We also discuss statistical approaches illustrating the potential value of time‐to‐event analyses and their implications within the estimand framework. Finally, based on a literature review of MDS randomized controlled trials with a PRO endpoint, we note the PRO items that deserve special attention when reporting future MDS trial results. We hope these practical considerations will facilitate the generation of rigorous PRO data that can robustly inform MDS patient care and support treatment decision‐making for this patient population.
Multi‐objective optimization of a Fibonacci phyllotaxis micro pin‐fin heat sink
Authors: Shemelash Ayechew , Tamrat Bimrew , Temesgen Muluken , Gopal Rajendiran , Desalegn Belachew , Mulugeta Hailemariam , Solomon Henok G/yohannes 
Published: May 2024

AbstractThere are still significant technical challenges associated with thermal management of electronic devices such as microprocessors. To improve heat dissipation performance of integrated circuits, a new Fibonacci phyllotaxis design of circular micropin fin heat sinks has been developed. To minimize both chip temperature and pumping power, a multi‐objective optimization technique was employed. The effect of design parameters such as phyllotaxis coefficient, pin fin diameter, and pin fin height on response parameters was numerically investigated using the full factorial design of the experiment. Artificial neural network was coupled with MO‐Jaya, to arrive at a Pareto frontier of optimal compromise solutions. The optimal set of design variables were found to be a height of 300 μm, a diameter of 122.6 μm, and a phyllotaxis coefficient of 130 μm with an inlet velocity of coolant 2.263 m/s. The selected optimum design was then investigated numerically, and the outcomes were compared to those predicted by the MO‐Jaya algorithm. The final confirmed response variables were a maximum temperature of 51.6°C and a pumping power of 0.191 W. The results show that the Fibonacci phyllotaxis structure of the micro pin fin heat sink has better heat‐dissipating performance.
Magnetohydrodynamic bioconvective flow past an elongated surface with convective heat transport, and velocity slip in a non‐Darcian porous regime
Authors: Das Utpal Jyoti , Patgiri Indushri 
Published: May 2024

AbstractIn recent times, bioconvection has numerous uses, like, biological and biotechnological problems. The present study describes the magnetic bioconvective Buongiorno's flow model with microorganisms in a stretchable area with convective heat transfer and second‐order velocity slip in a non‐Darcian porous regime. Here, the influence of variable viscosity, viscous dissipation, Joule heating, and heat source/sink are considered in the occurrence of higher‐order chemical reactions. Employing proper similarity transformations leading equations are transformed to dimension‐free form. The transformed equations are solved via MATLAB bvp4c problem solver. This study's main objective is to graphically analyze the effects of different pertinent factors on the density of motile microorganisms, velocity, concentration, temperature, number of motile microorganisms' density, skin friction, mass transport rate, and heat transport rate. The main findings drawn from this study are viscosity and magnetic parameter lowers the fluid velocity. Biot number increases fluid temperature, but reduces heat transport rates and skin friction. Schmidt and Eckert numbers reduce the fluid concentration. A rise of 0.3 in bioconvective Rayleigh number and 0.2 in buoyancy ratio number causes a percentage drop in velocities of 8.79% and 3.91% (approximately), respectively, in the neighborhood of the sheet. Furthermore, the increase in Peclet number by 0.2 lowers the density number of microorganisms by 28%. Additionally, the profile of motile microorganisms is improved by thermophoresis impact, while it is diminished by chemical reaction.
Enhancing the irrigation water productivity of rice farming: A study on sowing and irrigation practices in Pakistan
Authors: Akbar Ghani , Islam Zafar , Khalil Shahid Hameed , Wali Zeeshan 
Published: May 2024

AbstractIn Pakistan's arid agricultural landscape, this 4‐year (2020–2023) study on silty loam soil examined the relationships between sowing methods, irrigation practices, rice yield and water productivity. Using a randomized split block design, no tillage (NT) with alternate wetting and drying (AWD) and a furrow‐irrigated narrow bed (NB) emerged as being consistently competitive, showing potential for sustainable rice cultivation. Key findings indicate that AWD significantly enhances water productivity (11–35%) and increases yield (2–10%) compared to conventional practices. Drip‐irrigated wide beds (WBs) conserve substantial amounts of water (73%) but may compromise rice yield (4–47%). This study provides valuable insights into the dynamic outcomes and distinct performance trends of different rice varieties. The results suggest a potential maximum yield increase of 2–22% through optimized practices, and replacing rice may increase yield by 25–231%. Conversely, the selection of improper irrigation schedules and sowing methods for the given soil and crop conditions may lead to a yield reduction of up to 47% in high‐yielding rice varieties. These findings may help to establish a foundation for further research investigating informed decision making for sowing and irrigation methods. The potential scalability of the identified technologies and further in‐depth simulation strategies across diverse agroecological zones in Pakistan holds promise for widespread adoption, enhancing the sustainability of rice farming in the region.
A cross‐sectional investigation into the role of intersectionality as a moderator of the relation between youth adversity and adolescent depression/anxiety symptoms in the community
Authors: Havers Laura , Bhui Kamaldeep , Shuai Ruichong , Fonagy Peter , Fazel Mina , Morgan Craig , Fancourt Daisy , McCrone Paul , Smuk Melanie , Hosang Georgina M. , Shakoor Sania 
Published: May 2024

AbstractBackgroundAdolescents exposed to adversity show higher levels of depression and anxiety, with the strongest links seen in socially/societally disadvantaged individuals (e.g., females, low socioeconomic status [SES]), as well as neurodivergent individuals. The intersection of these characteristics may be important for the differential distribution of adversity and mental health problems, though limited findings pertain to the extent to which intersectional effects moderate this association.MethodsCombined depression/anxiety symptoms were measured using the emotional problems subscale of the Strengths and Difficulties Questionnaire in 13–14‐year‐olds in Cornwall, United Kingdom in 2017‐2019. In a cross‐sectional design (N = 11,707), multiple group structural equation modeling was used to estimate the effects of youth adversity on depression/anxiety symptoms across eight intersectionality profiles (based on gender [female/male], SES [lower/higher], and traits of hyperactivity/inattention [high/low]). Moderation effects of these characteristics and their intersections were estimated.ResultsYouth adversity was associated with higher levels of depression/anxiety (compared to an absence of youth adversity), across intersectional profiles. This effect was moderated by gender (stronger in males; β = 0.22 [0.11, 0.36]), and SES (stronger in higher SES; β = 0.26 [0.14,0.40]); with indications of moderation attributable to the intersection between gender and hyperactivity/inattention (β = 0.21 [−0.02,0.44]).ConclusionsYouth adversity is associated with heightened depression/anxiety across intersectional profiles in 13–14‐year‐olds. The stronger effects observed for males, and for higher SES, may be interpreted in terms of structural privilege. Preliminary findings suggest that vulnerability and resilience to the effects of youth adversity may partially depend on specific intersectional effects. Importantly, the current results invite further investigation in this emerging line of inquiry.
Using nanotechnology to progress the utilization of marine natural products in combating multidrug resistance in cancer: A prospective strategy
Authors: Bhusare Nilam , Gade Anushree , Kumar Maushmi S. 
Published: May 2024

AbstractAchieving targeted, customized, and combination therapies with clarity of the involved molecular pathways is crucial in the treatment as well as overcoming multidrug resistance (MDR) in cancer. Nanotechnology has emerged as an innovative and promising approach to address the problem of drug resistance. Developing nano‐formulation‐based therapies using therapeutic agents poses a synergistic effect to overcome MDR in cancer. In this review, we aimed to highlight the important pathways involved in the progression of MDR in cancer mediated through nanotechnology‐based approaches that have been employed to circumvent them in recent years. Here, we also discussed the potential use of marine metabolites to treat MDR in cancer, utilizing active drug‐targeting nanomedicine‐based techniques to enhance selective drug accumulation in cancer cells. The discussion also provides future insights for developing complex targeted, multistage responsive nanomedical drug delivery systems for effective cancer treatments. We propose more combinational studies and their validation for the possible marine‐based nanoformulations for future development.
Multimetal exposure: Challenges in diagnostics, prevention, and treatment
Authors: Panghal Archna , Thakur Ashima , Deore Monika S. , Goyal Manoj , Singh Charan , Kumar Jayant 
Published: May 2024

AbstractExtensive use of heavy metals has posed a serious concern for ecosystem and human too. Heavy metals are toxic in nature and their accumulation in human body causes serious disorders such as neurological disease, cardiac disease, gastrointestinal problems, skin disorders, reproductive disease, lungs diseases, and so on. Furthermore, heavy metals not only affect the human health but also have a negative impact on the economy. In the current review, we have elaborated the impact of heavy metal exposure on human health and socioeconomics. We have discussed the molecular mechanism involved in the heavy metal‐induced human disorders such as oxidative stress, neuroinflammation, and protein misfolding. Finally, we discussed the preventive measure and treatment strategy that could counter the negative effects of heavy metal intoxications. In conclusion, there is a substantial correlation between heavy metals and the onset and advancement of several health issues. Chelation treatment could be a useful tactic to lessen the toxic metal load and the difficulties that come with it.