bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scalable Crystalline Silicon Photovoltaic Fibers for Electronic Textile Applications
Authors: Jin Michael H.‐C. , Currano Luke J. , Rojas Vanessa O. , Jacque Evan D. , Korneisel Richard A. , Fairbanks Nathan J. , Freeman Adam W. , Trethewey Bruce R. , Glaros Benjamin H. , Carkhuff Bliss G. , Gerasopoulos Konstantinos 
Published: May 2024

AbstractThis study presents a novel method to fabricate scalable photovoltaic fibers (PVFs) by leveraging crystalline silicon (c‐Si) solar cell technology, known for its high‐power conversion efficiency (PCE), stable performance, and low cost. The c‐Si PVF is built on a flexible circuit strip as narrow as 400 µm, and c‐Si cells as small as 0.35 mm2 are surface‐mounted on the strip. The cells are diced from an interdigitated back‐contact c‐Si solar cell (≈153 cm2). A c‐Si PVF including a 1 mm2 cell reaches PCE up to 9.6% and 11.0% under simulated AM 1.5G illumination without and with encapsulation, respectively, the highest reported for c‐Si PVFs, while a 1.5 ft‐long fiber produces ≈37 mW m−1. Additionally, the PVF can tolerate bending fatigue with no sign of performance loss after 8000 bending cycles. To demonstrate practical applicability, the c‐Si PVFs are also woven into textile swatches. They deliver ≈10 mW cm−2 under a halogen lamp and successfully power a light‐emitting‐diode. This PVF technology is scalable with regards to both achieving thin fibers and its compatibility with roll‐to‐roll fabrication processes. The fiber concept presented here can also be extended to any chip‐scale surface mountable devices, enabling cell‐agnostic fiber technologies for multifunctional electronic textiles.
Recent Advances in Graphene Field‐Effect Transistor Toward Biological Detection
Authors: Sun Mingyuan , Zhang Congcong , Lu Shan , Mahmood Shahid , Wang Jian , Sun Chunhui , Pang Jinbo , Han Lin , Liu Hong 
Published: May 2024

AbstractRecently, field‐effect transistors (FETs) have emerged as a novel type of multiparameter, high‐performance, highly integrated platform for biochemical detection, leveraging their classical three‐terminal structure, working principles, and fabrication methods. Notably, graphene materials, known for their exceptional electrical and optical properties as well as biocompatibility, serve as a fundamental component of these devices, further enhancing their advantages in biological detection. This review places special emphasis on recent advancements in graphene field‐effect transistor (GFET)‐based biosensors and focuses on four main areas: i) the basic concepts of FETs and the specific electrical properties of GFETs; ii) various state‐of‐the‐art approaches to enhance the performance of GFET‐based biosensors in terms of operating principles and the “3S”—stability, sensitivity, and specificity; iii) multiplexed detection strategies for GFET‐based biosensors; and iv) the current challenges and future perspectives in the field of GFET‐based biosensors. It is hoped that this article can profoundly elucidate the development of GFET biosensors and inspire a broader audience.
Rare‐Earth‐Based Lead‐Free Halide Double Perovskites for Light Emission: Recent Advances and Applications
Authors: Rao Zhihui , Zhao Xiujian , Gong Xiao 
Published: May 2024

AbstractThe double perovskite material of Cs2NaRECl6‐type, utilizing rare‐earth (RE) ions as trivalent element, has attracted widespread interest due to its unique optoelectronic properties and wide range of applications. It displays rich optical properties, including visible and infrared light emission through down‐shifting, as well as up‐conversion emission and radiation‐induced emission. These exceptional optical properties make it a promising material for optoelectronic devices such as detectors, light‐emitting diodes, lasers and energy storage batteries but also show unique advantages in anti‐counterfeiting technology and imaging. In this article, the latest progress is reported and challenges in the crystal structure, material preparation, optoelectronic performance, and various applications of lead‐free halide double perovskite (HLDPs) compounds. This is also outline prospective research directions of existing materials, with the aim of facilitating the discovery of new HLDPs materials.
3D Printing of Optical Lenses Assisted by Precision Spin Coating
Authors: Shan Yujie , Hua Junyu , Mao Huachao 
Published: May 2024

AbstractThough 3D printing shows potential in fabricating complex optical components rapidly, its poor surface quality and dimensional accuracy render it unqualified for industrial optics applications. The layer steps in the building direction and the pixelated steps on each layer's contour result in inevitable microscale defects on the 3D‐printed surface, far away from the nanoscale roughness required for optics. This paper reports a customized vat photopolymerization‐based lens printing process, integrating unfocused image projection and precision spin coating to solve lateral and vertical stair‐stepping defects. A precision aspherical lens with less than 1 nm surface roughness and 1 µm profile accuracy is demonstrated. The 3D‐printed convex lens achieves a maximum MTF resolution of 347.7 lp mm−1. A mathematical model is established to predict and control the spin coating process on 3D‐printed surfaces precisely. Leveraging this low‐cost yet highly robust and repeatable 3D printing process, the precision fabrication of multi‐scale spherical, aspherical, and axicon lenses are showcased with sizes ranging from 3 to 70 mm using high clear photocuring resins. Additionally, molds are also printed to form multi‐scale PDMS‐based lenses.
Self‐Assembling P38 Peptide Inhibitor Nanoparticles Ameliorate the Transition from Acute to Chronic Kidney Disease by Suppressing Ferroptosis
Authors: Xin Wang , Gong Shuiqin , Chen Yin , Yao Mengying , Qin Shaozong , Chen Jing , Zhang Aihong , Yu Wenrui , Zhou Siyan , Zhang Bo , Gu Jun , Zhao Jinghong , Huang Yinghui 
Published: May 2024

AbstractAccumulating evidence highlights p38 as a crucial factor highly activated during the process of acute kidney injury (AKI), but the application of p38 inhibitor in AKI is quite limited due to the low efficiency and poor kidney‐targeting ability. Herein, a novel self‐assembling peptide nanoparticle with specific p38‐inhibiting activity is constructed, which linked mitogen‐activated protein kinase kinase 3b (MKK3b), the functional domain of p38, with the cell‐penetrating TAT sequence, ultimately self‐assembling into TAT‐MKK3b nanoparticles (TMNPs) through tyrosinase oxidation. Subsequent in vitro and in vivo studies demonstrated that TMNPs preferably accumulated in the renal tubular epithelial cells (RTECs) through forming protein coronas by binding to albumin, and strongly improved the reduced renal function of ischemia‐reperfusion injury (IRI)‐induced AKI and its transition to chronic kidney disease (CKD). Mechanically, TMNPs inhibited ferroptosis via its solute carrier family 7 member 11 (SLC7A11)/glutathione peroxidase 4 (GPX4) axis‐inducing capacity and synergistic potent antioxidant property in AKI. The findings indicated that the multifunctional TMNPs exhibited renal targeting, ROS‐scavenging, and ferroptosis‐mitigating capabilities, which may serve as a promising therapeutic agent for the treatment of AKI and its progression to CKD.
Air‐Processed Perovskite Solar Cells with >25% Efficiency and High Stability Enabled by Crystallization Modulation and Holistic Passivation
Authors: Shi Xiaoyu , Liu Tianxiao , Dou Yunjie , Hu Xiaodong , Liu Yangyang , Wang Feifei , Wang Lingyuan , Ren Zhijun , Chen Shangshang 
Published: May 2024

AbstractOrganic semiconductors (e.g., PCBM and IDIC) frequently serve as interface passivants for perovskite solar cells (PSCs) due to their beneficial passivation effects on perovskite interfaces. However, their passivation to the interiors of perovskite films is greatly limited by their poor solubility in polar solvents and compatibility issues. Here the facile synthesis of organic semiconductor nanoparticle (NP) passivants that readily disperse in perovskite inks is reported. Adding these NPs into perovskite inks not only modulates perovskite crystallization, improves film quality and conductivity, but also achieves holistic bulk film passivation. Consequently, blade‐coated p‐i‐n PSCs with ICBA NPs achieve an impressive efficiency of 25.1% (independently certified as 25.0%), the highest reported value for air‐processed PSCs irrespective of fabrication methods or device structures. This work develops a novel approach for effective and holistic perovskite passivation by converting conventional passivants to perovskite‐compatible NPs, paving the way for more efficient and stable perovskite solar devices.
Wearable Volatile Organic Compound Sensors for Plant Health Monitoring
Authors: Lee Siyoung , Kim Jinsung , Kim Dongpil , Park Hyeongmin , Myoung Sumin , Han Jaehee , Park Chulhwan , Kim Younghun , Choi Chungryong , Lee Giwon 
Published: May 2024

AbstractVolatile organic compounds (VOCs) are utilized as essential biomarkers for plant health and the surrounding environmental conditions in light of global imperatives surrounding food security and sustainable agriculture. However, conventional VOC detection methods have inherent limitations related to operational costs, portability, in situ monitoring, and accessibility. Wearable electronic systems have garnered significant attention as an alternative method because of their capability to detect, identify, and quantify VOCs quickly and cost‐effectively. This article presents a comprehensive perspective of recently developed wearable VOC monitoring sensors. It highlights various detection methods for VOCs related to plant metabolism, hormones, and environmental conditions and then multi‐VOC sensing based on data‐driven analysis. Emerging wearable sensor devices are comprehensively examined from the perspectives of material, structural, sensing mechanisms, and plant monitoring demonstration. The principal issues inherent in recently developed VOC monitoring techniques are discussed, and potential avenues for future research and development are identified.
Additive Manufacturing Based Dissolvable Chip Packaging for Sustainable E‐Waste Reduction
Authors: Belkadi Dhiya , Kim Min Sung , Hahn Carl P. , Saleha Sunehra , Houston Hannah L. , Hussain Muhammad Mustafa 
Published: May 2024

AbstractElectronics have contributed to the advancement of healthcare, wellness, security, and mobility, resulting in a higher standard of living. However, these ever‐accelerating advancements and widespread application come at the cost of a shortened product life cycle and increase in produced E‐waste which poses a significant environmental challenge. Recycling E‐waste is challenging due to the complexity of electronics and packaging, hindering component retrieval for reuse. While sustainable materials for electronics have been researched, sustainable integrated circuit (IC) packaging for conventional electronics remains unexplored. This study introduces a method involving dissolvable additively manufactured packaging materials to recover commercial‐off‐the‐shelf (COTS) chips from used electronics, which will alleviate supply‐chain stress, reduce the need for manufacturing similar chips, and minimize environmental impact. In this study, polyvinyl alcohol (PVA) and acrylonitrile butadiene styrene (ABS), are explored as potential dissolvable semiconductor packaging materials. Optimal dissolving conditions allow chip recovery in less than 11 min for PVA and 2 min for ABS. This approach offers a sustainable packaging method for commercial electronic chips that matches conventional packaging performance with the added functionality of recoverable and recyclable components, contributing to the gap in sustainability and recycling for conventional electronics.
Sub‐Nanogram Resolution Measurement of Inertial Mass and Density Using Magnetic‐Field‐Guided Bubble Microthruster
Authors: Wang Leilei , Sheng Minjia , Chen Li , Yang Fengchang , Li Chenlu , Li Hangyu , Nie Pengcheng , Lv Xinxin , Guo Zheng , Cao Jialing , Wang Xiaohuan , Li Long , Hu Anthony L. , Guan Dongshi , Du Jing , Cui Haihang , Zheng Xu 
Published: May 2024

AbstractArtificial micro/nanomotors using active particles hold vast potential in applications such as drug delivery and microfabrication. However, upgrading them to micro/nanorobots capable of performing precise tasks with sophisticated functions remains challenging. Bubble microthruster (BMT) is introduced, a variation of the bubble‐driven microrobot, which focuses the energy from a collapsing microbubble to create an inertial impact on nearby target microparticles. Utilizing ultra‐high‐speed imaging, the microparticle mass and density is determined with sub‐nanogram resolution based on the relaxation time characterizing the microparticle's transient response. Master curves of the BMT method are shown to be dependent on the viscosity of the solution. The BMT, controlled by a gamepad with magnetic‐field guidance, precisely manipulates target microparticles, including bioparticles. Validation involves measuring the polystyrene microparticle mass and hollow glass microsphere density, and assessing the mouse embryo mass densities. The BMT technique presents a promising chip‐free, real‐time, highly maneuverable strategy that integrates bubble microrobot‐based manipulation with precise bioparticle mass and density detection, which can facilitate microscale bioparticle characterizations such as embryo growth monitoring.
Exploring barriers to utilizing local agricultural products in the catering industry
Authors: Liu Wan‐Yu , Lin Hsing‐Wei , Lin Chun‐Cheng 
Published: May 2024

AbstractBoth the proportion and expenditure of dining out and takeaway in Taiwan have been increasing year by year. This study investigates the factors influencing the catering service providers (CSPs) procurement of domestically produced or imported food materials. The empirical results showed that the procurement cost, quality, safety, and availability of ingredients were the major considerations for CSPs to purchase ingredients. Different types of CSPs had different cognitions, attitudes, and purchasing behaviors toward domestically produced and imported ingredients. Bento establishments, self‐service cafeterias, and noodle shops adopted higher proportions of domestically produced ingredients (DPIs), and they also had more confidence in these ingredients. On the contrary, table service restaurants, all‐you‐can‐eat restaurants, breakfast eateries, coffee shops, and fast food restaurants adopted higher proportions of imported ingredients. The results may be related to the food items purchased and catering services provided by different CSPs. Therefore, CSPs should be included in the scope and promotion of food and agriculture education so as to increase their emphasis on ingredients for health, increase their tendency to purchase DPIs, promote the disclosure of information on food producers and ingredients, and enhance the communications among food producers, buyers, CSPs, and dining‐out consumers.
Multicut logic‐based Benders decomposition for discrete‐time scheduling and dynamic optimization of network batch plants
Authors: Liñán David A. , Ricardez‐Sandoval Luis A. 
Published: May 2024

AbstractThis study presents the first application of a logic‐based Benders decomposition (LBBD) technique in the field of simultaneous scheduling and dynamic optimization (SSDO), applied to network batch processes with a discrete‐time scheduling formulation. The proposed algorithm employs neighborhood information of ordered discrete decisions (e.g., batching variables) to generate cuts, rather than relying on traditional cut generation techniques based on dual information that are implemented in generalized Benders decomposition (GBD) algorithms. The proposed algorithm relies on solving multiple subproblems per iteration, which is a feature that allows the generation of multiple cuts per iteration thus producing accurate approximations of the objective function in shorter computational times. This results in the herein proposed multicut logic‐based discrete Benders decomposition (MLD‐BD) algorithm, which enables features such as a pruning strategy, and a cut‐off technique. Two case studies are used to demonstrate the computational advantages of the MLD‐BD framework against GBD and heuristic methodologies.
Rett syndrome diagnostic odyssey: Limitations of NextGen sequencing
Authors: Abbott Megan , Angione Katie , Forbes Emily , Stoecker Mikayla , Saenz Margarita , Neul Jeffrey L. , Marsh Eric D. , Skinner Steven A. , Percy Alan K. , Benke Tim A. 
Published: May 2024

AbstractTypical (or classic) Rett syndrome (RTT) is an X‐linked neurodevelopmental disorder characterized by a period of regression, partial or complete loss of purposeful hand movements, and acquired speech, impaired gait, and stereotyped hand movements. In over 95% of typical RTT, a pathogenic variant is found in the methyl‐CPG binding protein 2 gene (MECP2). Here, we describe a young woman with clinically diagnosed typical RTT syndrome who lacked a genetic diagnosis despite 20 years of investigation and multiple rounds of sequencing the MECP2 gene. Recently, additional genetic testing using next‐generation sequencing was completed, which revealed a partial insertion of the BCL11A gene within exon 4 of MECP2, resulting in a small deletion in MECP2, causing likely disruption of MeCP2 function due to a frameshift. This case demonstrates the ever‐changing limitations of genetic testing, as well as the importance of continual pursuit of a diagnosis as technologies improve and are more widely utilized.
Oxidative Upcycling of Polyethylene to Long Chain Diacid over Co‐MCM‐41 Catalyst
Authors: Zhang Qiang , He Jiajia , Wei Xiangyue , Shen Chengfeng , Ye Pengbo , An Wenli , Liu Xuehui , Li Haoze , Xu Shimei , Su Zhishan , Wang Yu‐Zhong 
Published: May 2024

AbstractPlastic pollution is an emerging global threat due to lack of effective methods for transforming waste plastics into useful resources. Here, we demonstrate a direct oxidative upcycling of polyethylene into high‐value and high‐volume saturated dicarboxylic acids in high carbon yield of 85.9 % in which the carbon yield of long chain dicarboxylic (C10‐C20) acids can reach 58.9% over cobalt‐doped MCM‐41 molecular sieves, in the absence of any solvent or precious metal catalyst. The distribution of the dicarboxylic acids can be controllably adjusted from short‐chain (C4‐C10) to long‐chain ones (C10‐C20) through changing cobalt loading of MCM‐41 under nanoconfinement. Highly and sparsely dispersed cobalt along with confined space of mesoporous structure enables complete degradation of polyethylene and high selectivity of dicarboxylic acid in mild condition. So far, this is the first report on highly selective one‐step preparation of long chain dicarboxylic acids. The approach provides an attractive solution to tackle plastic pollution and a promising alternative route to long chain diacids.
Indonesiaʼs energy transition: Dependency, subsidies and renewables
Authors: Wong Ryan , Dewayanti Aninda 
Published: May 2024

AbstractIndonesiaʼs economy is highly dependent on the fossil fuel industry as evidenced in measures of non‐taxable revenue, energy subsidy, energy mix and regulatory flexibility. To cut carbon emissions by 41% in 2030, the energy system needs to transition faster than anticipated through progressive reforms and investment. Policy makers understandably are fearful of the shocks and unrests resulted from fossil fuel subsidy reform. However, the fears were shown to be an over‐reaction, especially if poorer households were supported. The state‐owned enterprise, Perusahaan Listrik Negara, is the central player in the tug of war between the fossil fuel and renewable sectors. The government should signal unwavering support for international investment in the renewables, and update the regulation on rooftop solar that boosts return on investment for domestic households. International investors will need modelling of cost competitiveness of wind farms against coal‐fired plants in more remote areas.
A literature review on pharmacological aspects, docking studies, and synthetic approaches of quinazoline and quinazolinone derivatives
Authors: Ghoneim Mohammed M. , Abdelgawad Mohamed A. , Elkanzi Nadia A. A. , Parambi Della Grace Thomas , Alsalahat Izzeddin , Farouk Amr , Bakr Rania B. 
Published: May 2024

AbstractQuinazoline and quinazolinone derivatives piqued medicinal chemistry interest in developing novel drug candidates owing to their pharmacological potential. They are important chemicals for the synthesis of a variety of physiologically significant and pharmacologically useful molecules. Quinazoline and quinazolinone derivatives have anticancer, anti‐inflammatory, antidiabetic, anticonvulsant, antiviral, and antimicrobial potential. The increased understanding of quinazoline and quinazolinone derivatives in biological activities provides opportunities for new medicinal products. The present review focuses on novel advances in the synthesis of these important scaffolds and other medicinal aspects involving drug design, structure–activity relationship, and action mechanisms of quinazoline and quinazolinone derivatives to help in the development of new quinazoline and quinazolinone derivatives.
Model adaptive reference tracking control for uncertain robotic manipulators with input disturbance
Authors: Pham Thiem V. , Nguyen Quynh T. Thanh 
Published: May 2024

AbstractThis article presents a simple approach for designing a linear adaptive controller, employing the model reference systems concept, to enable the tracking of uncertain robotic manipulators under the influence of input disturbances. The combined impact of model uncertainties and matched disturbances on the robot's behavior is considered as a total matched disturbance, attributed to a double integral system. Subsequently, a novel linear disturbance estimator, augmented by a feed‐forward correction term, is employed to estimate this lumped disturbance within the double integrator system. As a result of this procedure, the requisite adaptive law, based on the model reference system, is formulated for the nominal control parameter instead of arbitrary free‐parameter selections. The effectiveness of the proposed approach is theoretically justified and further supported by its application in the analysis of an active magnetic bearing system.
A comprehensive insight into the immunomodulatory role of MSCs‐derived exosomes (MSC‐Exos) through modulating pattern‐recognition receptors (PRRs)
Authors: Alshahrani Mohammad Y. , Jasim Saade Abdalkareem , Altalbawy Farag M. A. , Bansal Pooja , Kaur Harpreet , Al‐Hamdani Mais Mazin , Deorari Mahamedha , Abosaoda Munther Kadhim , Hamzah Hamza Fadhel , A. Mohammed Bahira 
Published: May 2024

AbstractMesenchymal stem cell‐derived exosomes (MSC‐Exos) are emerging as remarkable agents in the field of immunomodulation with vast potential for diagnosing and treating various diseases, including cancer and autoimmune disorders. These tiny vesicles are laden with a diverse cargo encompassing proteins, nucleic acids, lipids, and bioactive molecules, offering a wealth of biomarkers and therapeutic options. MSC‐Exos exhibit their immunomodulatory prowess by skillfully regulating pattern‐recognition receptors (PRRs). They conduct a symphony of immunological responses, modulating B‐cell activities, polarizing macrophages toward anti‐inflammatory phenotypes, and fine‐tuning T‐cell activity. These interactions have profound implications for precision medicine, cancer immunotherapy, autoimmune disease management, biomarker discovery, and regulatory approvals. MSC‐Exos promises to usher in a new era of tailored therapies, personalized diagnostics, and more effective treatments for various medical conditions. As research advances, their transformative potential in healthcare becomes increasingly evident.