bluuebunny/crossref_metadata_2025_split huggingface dataset:
Silicon Nanoantennas for Ultra‐Compact, High‐Speed and Low‐Power Consumption Electro‐Optic Modulators
Authors: Ding Lu , Siew Shawn Yohanes , Ang Thomas Y. L. , Li Qiang , Zhu Shiyang , Zhou Yanyan , Paniagua‐Dominguez Ramon , Chu Hong‐Son , Lim Soon Thor , Png Ching Eng , Kuznetsov Arseniy I. 
Published: April 2024

AbstractTo keep pace with the expanding data capacity in modern communications and increasing on‐chip integration density, it is highly desirable to have electro‐optic modulators featured with compact footprint, large modulation bandwidth, low energy consumption, and full complementary metal‐oxide‐semiconductor (CMOS) compatibility. Here, this work experimentally demonstrates a high‐speed electro‐optic modulator in the telecommunication wavelength range made of a 1D chain resonator of Mie‐resonant silicon nanoparticles. The modulator exploits the plasma dispersion effect and works in the carrier depletion configuration. The resulting large modulation bandwidth over 40 GHz and low energy consumption of 23 fJ bit−1 are attributed to its ultra‐compact footprint of 10 µm2. The open eye diagrams are measured up to 40 Gbits s−1. The modulators are fabricated at wafer level by a silicon photonic foundry using CMOS‐compatible process. This modulator shows promise for achieving higher integration density and larger modulation bandwidth. It can be added to the existing on‐chip device building blocks library and used for a wide range of applications, including data communication, quantum photonics, and non‐reciprocal optics.
Inflammation in diabetes complications: molecular mechanisms and therapeutic interventions
Authors: Zhao Lu , Hu Haoran , Zhang Lin , Liu Zheting , Huang Yunchao , Liu Qian , Jin Liang , Zhu Meifei , Zhang Ling 
Published: April 2024

AbstractAt present, diabetes mellitus (DM) has been one of the most endangering healthy diseases. Current therapies contain controlling high blood sugar, reducing risk factors like obesity, hypertension, and so on; however, DM patients inevitably and eventually progress into different types of diabetes complications, resulting in poor quality of life. Unfortunately, the clear etiology and pathogenesis of diabetes complications have not been elucidated owing to intricate whole‐body systems. The immune system was responsible to regulate homeostasis by triggering or resolving inflammatory response, indicating it may be necessary to diabetes complications. In fact, previous studies have been shown inflammation plays multifunctional roles in the pathogenesis of diabetes complications and is attracting attention to be the meaningful therapeutic strategy. To this end, this review systematically concluded the current studies over the relationships of susceptible diabetes complications (e.g., diabetic cardiomyopathy, diabetic retinopathy, diabetic peripheral neuropathy, and diabetic nephropathy) and inflammation, ranging from immune cell response, cytokines interaction to pathomechanism of organ injury. Besides, we also summarized various therapeutic strategies to improve diabetes complications by target inflammation from special remedies to conventional lifestyle changes. This review will offer a panoramic insight into the mechanisms of diabetes complications from an inflammatory perspective and also discuss contemporary clinical interventions.
Pyrogallol protects against influenza A virus‐triggered lethal lung injury by activating the Nrf2–PPAR‐γ–HO‐1 signaling axis
Authors: Zhou Beixian , Wang Linxin , Yang Sushan , Liang Yueyun , Zhang Yuehan , Liu Xuanyu , Pan Xiping , Li Jing 
Published: April 2024

AbstractPyrogallol, a natural polyphenol compound (1,2,3‐trihydroxybenzene), has shown efficacy in the therapeutic treatment of disorders associated with inflammation. Nevertheless, the mechanisms underlying the protective properties of pyrogallol against influenza A virus infection are not yet established. We established in this study that pyrogallol effectively alleviated H1N1 influenza A virus‐induced lung injury and reduced mortality. Treatment with pyrogallol was found to promote the expression and nuclear translocation of nuclear factor erythroid‐2‐related factor 2 (Nrf2) and peroxisome proliferator‐activated receptor gamma (PPAR‐γ). Notably, the activation of Nrf2 by pyrogallol was involved in elevating the expression of PPAR‐γ, both of which act synergistically to enhance heme oxygenase‐1 (HO‐1) synthesis. Blocking HO‐1 by zinc protoporphyrin (ZnPP) reduced the suppressive impact of pyrogallol on H1N1 virus‐mediated aberrant retinoic acid‐inducible gene‐I‐nuclear factor kappa B (RIG‐I–NF‐κB) signaling, which thus abolished the dampening effects of pyrogallol on excessive proinflammatory mediators and cell death (including apoptosis, necrosis, and ferroptosis). Furthermore, the HO‐1‐independent inactivation of janus kinase 1/signal transducers and activators of transcription (JAK1/STATs) and the HO‐1‐dependent RIG‐I‐augmented STAT1/2 activation were both abrogated by pyrogallol, resulting in suppression of the enhanced transcriptional activity of interferon‐stimulated gene factor 3 (ISGF3) complexes, thus prominently inhibiting the amplification of the H1N1 virus‐induced proinflammatory reaction and apoptosis in interferon‐beta (IFN‐β)‐sensitized cells. The study provides evidence that pyrogallol alleviates excessive proinflammatory responses and abnormal cell death via HO‐1 induction, suggesting it could be a potential agent for treating influenza.
A bi‐fidelity inverse analysis method for deep excavations considering three‐dimensional effects
Authors: Tao Yuanqin , Pan Sunjuexu , Sun Honglei , Cai Yuanqiang , Zhang Ge , Sun Miaojun 
Published: April 2024

AbstractInverse analysis methods are commonly used in braced excavations for improved deformation predictions. This paper proposes a bi‐fidelity ensemble randomized maximum likelihood (BF‐EnRML) method for efficient inverse analyses of deep excavations considering the three‐dimensional effects. The bi‐fidelity (BF) model is developed by the low‐fidelity model (i.e., two‐dimensional finite element model, 2D FEM) and the high‐fidelity model (i.e., 3D FEM) for a balance between efficiency and accuracy. A large number of 2D FEMs are first used to explore the relationship between soil parameters and wall deflections. A few 3D FEMs are then performed to calibrate the discrepancy between 2D‐3D deflections caused by the inability of 2D FEM to consider the three‐dimensional effects. The constructed BF model serves as the forward model in inverse analysis. The soil parameters are updated by incorporating the monitoring data based on EnRML and further used to predict wall deflections in later stages. A hypothetical excavation and a real project are studied to evaluate the performance of the proposed method. The results show that the BF model can provide wall deflection predictions close to those calculated from 3D FEM while using a computational cost of 2D FEM. The BF‐EnRML method can efficiently update the soil parameters and improve the wall deflection predictions. Moreover, factors affecting the accuracy of the BF model are studied, including the number of required 3D FEMs, the distance from the evaluated wall section to the excavation corner, the number of data points along the wall depth, and the number of excavation stages.
Hydrodesulfurization of Dibenzothiophene: A Machine Learning Approach
Authors: Castro Guadalupe , Cruz‐Borbolla Julián , Galván Marcelo , Guevara‐García Alfredo , Ireta Joel , Matus Myrna H. , Meneses‐Viveros Amilcar , Ignacio Perea‐Ramírez Luis , Pescador‐Rojas Miriam 
Published: April 2024

AbstractThe hydrodesulfurization (HDS) process is widely used in the industry to eliminate sulfur compounds from fuels. However, removing dibenzothiophene (DBT) and its derivatives is a challenge. Here, the key aspects that affect the efficiency of catalysts in the HDS of DBT were investigated using machine learning (ML) algorithms. The conversion of DBT and selectivity was estimated by applying Lasso, Ridge, and Random Forest regression techniques. For the estimation of conversion of DBT, Random Forest and Lasso offer adequate predictions. At the same time, regularized regressions have similar outcomes, which are suitable for selectivity estimations. According to the regression coefficient, the structural parameters are essential predictors for selectivity, highlighting the pore size, and slab length. These properties can connect with aspects like the availability of active sites. The insights gained through ML techniques about the HDS catalysts agree with the interpretations of previous experimental reports.
Three cases of gingival cancer associated with peri‐implantitis and their management
Authors: Osawa Kohei , Okamoto Yoshiyuki , Iida Masaki , Hirota Makoto , Mitsudo Kenji 
Published: April 2024

AbstractBackgroundDental implant treatment is effective for missing teeth, but it can cause peri‐implantitis. Chronic inflammation may be involved in the development of malignancy. We report three cases of gingival cancer that may have been associated with peri‐implantitis.Case PresentationAll three patients were referred to our department for detailed examination of a mass or ulcerative lesion around implants placed in their family dental clinics. One case of cancer was associated with oral lichen planus and peri‐implantitis. Two cases of cancer were associated with peri‐implantitis. Surgery for gingival cancer was successfully performed. All three pathological diagnoses were well‐differentiated squamous cell carcinoma.ConclusionChronic inflammation is a risk factor for malignant tumors, suggesting the importance of its maintenance.
Pilot evaluation of a behavioral weight loss program for adults with physical disabilities: State of Slim Everybody usability and feasibility
Authors: Clina Julianne G. , Wyatt Holly R. , Hill James O. , Ferguson Christine C. , Young Hui‐Ju , Rimmer James H. 
Published: April 2024

AbstractBackgroundPeople with physical disabilities (PWD) have a higher prevalence of obesity than populations without disability, but most evidence‐based weight loss programs have not included this population. The State of Slim (SOS) program is an evidence‐based weight loss program that has demonstrated success in producing weight loss in populations without disability, but it has not been adapted for or evaluated in PWD.MethodsThe SOS program was systematically adapted using the evidence‐informed Guidelines, Recommendations, and Adaptations Including Disability (GRAIDs) framework. A total of 35 participants enrolled in the State of Slim Everybody program. The program was offered entirely online. Body weight, attendance, and food log completion were also tracked weekly. The program length was 16.5 h and included weekly group instruction, with optional one‐on‐one sessions provided upon request. Following completion, participants completed post‐evaluation surveys on overall satisfaction with the program. The primary outcomes were program effectiveness (i.e., body weight), usability, and feasibility.ResultsThirty‐two out of 35 participants completed the program, representing a retention rate of 91.4%. Average weight loss was 10.9% (9.9 ± 0.7 kg (t (31) = −13.3, p =< 0.0001)). On a 1 (dissatisfied/completely useless) to 5 (very satisfied/completely helpful) Likert scale, the average score for overall program satisfaction was 4.8 ± 0.1 and program helpfulness 4.6 ± 0.1.ConclusionThe State of Slim Everybody program demonstrated significant weight loss and good usability and feasibility in PWD. Existing adaptation frameworks can be used to create inclusive health promotion programs for adults with physical disabilities.
Non‐linear functional polymers containing selective/cleavable bonds: Synthesis and their biomedical applications
Authors: Rahimi Mahdi , Gałęziewska Monika , Jerczyński Krzysztof , Wróbel Sylwia , Pietrasik Joanna 
Published: April 2024

AbstractThe growing interest in functional materials has resulted in the emergence of smart polymers, demonstrating practical performance in various applications especially for biomedical purposes. The properties of functional polymers are mainly determined by the presence of functional groups that differ from those in the main chains. While some polymers are naturally active and considered functional, others require modification for enhanced impact and functionality. Many functional polymers typically have a linear backbone, but very recently the attention has been shifted towards those with specific topologies and architecture, for example, bottlebrushes, stars, dendritic polymers, and gels. Over the past few years, there has been a rising emphasis on integrating selective bonds into complex polymer structures to enhance chain scission in single macromolecules. This review captures the most recent and promising approaches to the design of non‐linear functional polymers containing selective/cleavable bonds and discusses the potential of these materials for biomedical applications.
Diagnostic utility of shear wave elastography in musculoskeletal injuries: A narrative review
Authors: Chowdhary Kuntal , Raum George , Visco Christopher 
Published: April 2024

AbstractShear wave elastography (SWE) is an emerging and promising ultrasound modality, and is more recently employed in the diagnosis of musculoskeletal (MSK) pathologies. SWE evaluates tissue stiffness by measuring the speed of propagating acoustic waves through body tissue structures. Knowing the variations in stiffness of MSK soft tissue can provide helpful diagnostic insight for the evaluation of pathology in muscles, tendons, ligaments, nerves, and other soft tissues. The goal of this review is to synthesize recent literature on the utility of SWE for MSK pathology diagnosis. This review reveals that SWE adds important diagnostic data for the evaluation of several pathologies, such as median mononeuropathy at the wrist, Achilles tendinopathy, and plantar fasciitis. The review also reveals a lack of evidence pertaining to appropriate standardization of use and the connection to reliable and valid diagnostic benefit in the clinical setting.
Plasma catalytic CO2 hydrogenation to methanol: The interaction between MnOx and ZrO2
Authors: Zhang Xuming , Shan Yun , Sun Zhi , Pan Hua , Jin Yuzhen , Zhu Zuchao , Zhang Liancheng , Lin Wenhao , Dai Zhengbo , Lou Zhengang , Li Huaming , Li Kai 
Published: April 2024

AbstractPlasma catalytic CO2 hydrogenation to methanol over MnOx/ZrO2 catalyst was investigated in this work. A boosted methanol yield of 4.6 mg/h was obtained over MnOx/ZrO2 catalyst, while it was only 0.0 and 0.7 mg/h for ZrO2 and MnOx catalyst, respectively. The interaction between MnOx and ZrO2 was responsible for the enhanced methanol yield. It resulted in sufficient oxygen vacancy. The in situ DRIFT spectra was conducted to reveal the plasma catalytic CO2 hydrogenation to methanol reaction mechanism and the key intermediates of HCOO and CH3O species were determined. The sufficient oxygen vacancy promoted the formation of the key intermediates, especially the CH3O species.
30 by 30 for plant diversity: How can we protect more of nature?
Authors: Harris Timothy , Ottaviani Gianluigi , Mulligan Mark , Brummitt Neil 
Published: April 2024

Societal Impact StatementProposals to increase protected area networks to 30% of land area globally will, given habitat conversion, require ecosystem restoration. Trait‐based approaches provide tools for this and highlight priorities for protected area expansion—both where functional diversity has the highest values and where it is higher than expected given species richness. Maps of sampled angiosperm species from across Africa show where these diversity metrics deviate. These maps also show the 30% of land with greatest potential to support functional diversity at national and continental scales, of which less than a quarter is protected, demonstrating the need for coordinated trans‐national plant conservation efforts.
Efficacy of dupilumab as an alternative to corticosteroids in the treatment of exacerbations of allergic bronchopulmonary aspergillosis
Authors: Hamakawa Masamitsu , Ishida Tadashi 
Published: April 2024

Key messageThe pathogenesis of allergic bronchopulmonary aspergillosis involves not only eosinophils but also plasma cells that produce immunoglobulin E. Dupilumab may be an effective alternative to corticosteroids because it inhibits T cell to plasma cell differentiation by blocking IL4.
On stability and H∞ control synthesis of sampled‐data systems: A multiple convex function approximation approach
Authors: Ji Wenchengyu , Jiang Yulian , Sun Jian , Zhu Yanzheng , Wang Shenquan 
Published: April 2024

AbstractThis article deals with the stability and control synthesis for a class of linear sampled‐data systems. First, a novel integral inequality with the cubic term of integral interval length instead of reciprocal one of integral interval length is constructed by non‐orthogonal polynomials. This can make full use of slack matrix variables and additional information about sawtooth structural sampling pattern. Then, on the basis of the constructed integral inequality, a cubic‐term‐dependent discontinuous exponent Lyapunov–Krasovskii Functional (LKF) is developed containing additional information about system states to design an sampled‐data state feedback controller. To better estimate the upper bound of the derivative of LKF, a kind of multiple convex function approximation approach is developed, which can be used to deal with the two‐variable polynomial negative definite issue by dividing the variable interval into multiple subintervals. By the constructed integral inequality and multiple convex function approximation approach, sufficient conditions with less conservatism are deduced for the feasibility of sampled‐data state feedback controller. Moreover, by the inner convex approximation solution technique and proposed iterative algorithm, the bilinear matrix inequalities can be transformed into linear matrix ones, which can be easily tackled, to obtain the desired sampled‐data controller gain. Finally, by comparing with existing results, the advantages and superiority of our proposed approaches can be confirmed via two numerical examples.
Decentralized adaptive proportional‐integral tracking control for strong interconnected nonlinear systems subject to unmodeled dynamics and uncertain input delays
Authors: Gao Zhifeng , Sha Xianqing , He Jiaqi , Shen Kaihui 
Published: April 2024

AbstractIn this paper, the problem of decentralized adaptive proportional‐integral (PI) tracking control is investigated for a class of strong interconnected nonlinear systems in presence of unmodeled dynamics and uncertain input delays. A novel compensation mechanism is proposed to deal with the considered strong interconnection functions by applying a smooth switching function to the design algorithm, and the difficulty generated by unmodeled dynamics is dominated by using a dynamic auxiliary signal. By utilizing the suitable error transformations and selecting the appropriate Lyapunov‐Krasovskii function, the effects of uncertain input delays could be surmounted. The novelty of this study is that, for the first time, a new decentralized adaptive PI tracking control scheme including a switching compensation mechanism is developed for the considered strong interconnected nonlinear systems. It is proved that all the signals in the closed‐loop systems are uniformly ultimately bounded (UUB) and the tracking errors converge to a bounded compact set. Finally, a simulation example is carried out to illustrate the effectiveness of the proposed approach.
Design, Synthesis and Evaluation of 8‐(Piperazin‐1‐yl) Imidazo[1,2‐a]Pyrazine Derivatives as Acetylcholinesterase Inhibitors and Antioxidants
Authors: Wei Benben , Du Wenrong , Guo Xinyuan , Lan Yong , Shang Panpan , Wang Xiaoke , Ma Zhengyue 
Published: April 2024

AbstractA series of 8‐(piperazin‐1‐yl) imidazo [1,2‐a] pyrazine derivatives were designed and synthesized as acetylcholinesterase inhibitors (AChEIs) and antioxidants for the treatment of Alzheimer's disease (AD). Moreover, the biological evaluation results demonstrated that these synthesized compounds exhibited moderate inhibitory activities toward acetylcholinesterase (AChE) and radical scavenging activities. Among them, the compound with the strongest inhibitory activity against AChE had an IC50 value of 0.55 μM, which was higher than that of galantamine as the reference compound (IC50 value=5.01 μM). The compound with the strongest antioxidant activity had an IC50 value of 57.94 μM, which was lower than that of the ascorbic acid (IC50 value=25.70 μM) as the control drug. Furthermore, the results of molecular docking studies indicated that the compound could simultaneously bind to both catalytic active site (CAS) and peripheral anionic site (PAS) of AChE, which was consistent with the mixed inhibition pattern shown by enzyme kinetic studies. The interaction's stability was also assessed using a conventional atomistic 100 ns dynamics simulation study, which revealed the conformational stability of representative compound in the cavity of the AChE. In addition, the molecular properties of all compounds were predicted online through the SwissADME, and most compounds matched the properties of most orally administered drugs. Based on the biological activity and molecular properties, 8‐(piperazin‐1‐yl) imidazo[1,2‐a] pyrazine derivatives as AChEI were valuable for further development.
Direct Evidence of Reversible Changes in Electrolyte and its Interplay with LiO2 Intermediate in Li‐O2 Batteries
Authors: Sousa Bianca P. , Lourenço Tuanan C. , Anchieta Chayene G. , Nepel Thayane C. M. , Filho Rubens M. , Da Silva Juarez L. F. , Doubek Gustavo 
Published: April 2024

AbstractLithium‐oxygen batteries show promising energy storage potential with high theoretical energy density; however, further investigation of chemical reactions is required. In this study, experimental Raman and theoretical analyzes are performed for a Li‐O2 battery with LiClO4/dimethyl sulfoxide (DMSO) electrolyte and carbon cathode to understand the role of intermediate species in the reactional mechanism of the cell using a high donor number solvent. Operando Raman results reveal reversible changes in the DMSO bands, in addition to the formation and decomposition of Li2O2. On discharge, a decrease in DMSO polarizability is observed and bands of DMSO‐Li+‐anion interactions are evidenced and supported by ab initio density functional theory (DFT) calculations. Molecular dynamics (MD) force field simulations and operando Raman show that DMSO interacts with LiO2(sol), highlighting the stability of the electrolyte compared to the interaction with reactive . On charging, the presence of Li+ indicates the formation of a lithium‐deficient phase, followed by the release of Li+ and oxygen. Therefore, this study contributes to understanding the discharge/charge chemistry of a Li‐O2 cell, employing a common carbon cathode and DMSO electrolyte. The combination of a simple characterization technique in operando mode and theoretical studies provides essential information on the mechanism of Li‐O2 system.