bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regulating the Spin‐State of Rare‐Earth Ce Single Atom Catalyst for Boosted Oxygen Reduction in Neutral Medium
Authors: Zhao Yongjian , Wang Hu , Li Jun , Fang Yong , Kang Yongshuai , Zhao Tianyou , Zhao Chenyang 
Published: July 2023

AbstractThe development of neutral zinc–air batteries (ZABs) is long been impeded by the sluggish oxygen reduction reaction (ORR) derived from insufficient O2 activation and OH* blocking effect. Herein, the synthesis of a series of rare‐earth Ce single‐atom catalysts (CeNCs) is reported with enhanced spin‐state for boosting neutral ORR. Experimental analysis and theoretical calculations indicate that the unique local coordination/geometric structure reshapes the electronic configuration of Ce sites to achieve a transition from 4d104f1 to 4d84f3. The high‐spin Ce active sites accelerate the unpaired f electrons to occupy the anti‐π orbitals of O2 and generate suitable binding strength with reaction intermediates. In neutral conditions, CeNC‐40 exhibits excellent ORR performance with half‐wave potentials of 0.78 V and negligible decay after 10 000 cycles. Additionally, the self‐breathing ZABs based on CeNC‐40 demonstrates a peak power density of 81 mW cm−2 and impressive long‐cycle stability (>1 600 cycles) at 2 mA cm−2. This work presents an effective strategy for developing high‐spin catalysts to address the challenges of neutral ZABs.
Two‐Terminal Deformable Induction Array Sensor Capable of Recognizing Non‐Contact Dynamic Motions of Various Objects
Authors: Veerapandian Selvaraj , Luo Junchen , Kwak Mingyu , Wang Zhengyan , Park Yebin , Lim Ighyun , Wang Hongbo , Jeong Unyong 
Published: July 2023

AbstractDevelopment of deformable soft tactile sensors that are conformable to 3D surfaces and recognize dynamic/static multiple touches from all directions are still great technological challenges. Furthermore, distinguishing material species of various objects and proactive sensing by non‐contact recognition have not been achieved in the deformable tactile sensors. This study suggests an induction‐based array sensor with only two signal terminals. The tactile sensor simultaneously solves the technological challenges mentioned above. The key to this success is novel interpretation on the inductance variation by material species of the objects depending on measurement frequency. This study discusses the design rule of the sensor and the operation variables for effective tactile sensing both in the contact and non‐contact modes. An artificial sensor covering the finger (including the finger tip) demonstrates recognition of dynamic and static multiple stimuli on the finger.
Optical Enhancement of Indirect Bandgap 2D Transition Metal Dichalcogenides for Multi‐Functional Optoelectronic Sensors
Authors: Dutta Riya , Bala Arindam , Sen Anamika , Spinazze Michael Ross , Park Heekyeong , Choi Woong , Yoon Youngki , Kim Sunkook 
Published: July 2023

AbstractThe unique electrical and optical properties of transition metal dichalcogenides (TMDs) make them attractive nanomaterials for optoelectronic applications, especially optical sensors. However, the optical characteristics of these materials are dependent on the number of layers. Monolayer TMDs have a direct bandgap that provides higher photoresponsivity compared to multilayer TMDs with an indirect bandgap. Nevertheless, multilayer TMDs are more appropriate for various photodetection applications due to their high carrier density, broad spectral response from UV to near‐infrared, and ease of large‐scale synthesis. Therefore, this review focuses on the modification of the optical properties of devices based on indirect bandgap TMDs and their emerging applications. Several successful developments in optical devices are examined, including band structure engineering, device structure optimization, and heterostructures. Furthermore, it introduces cutting‐edge techniques and future directions for optoelectronic devices based on multilayer TMDs.
Large‐Scale Ultralight and Flexible Metal Foil/Polymer Sandwich Composites with Excellent Electromagnetic Interference Shielding
Authors: Ding Hang , Zang Wenpeng , Yu Min , Wang Yuhao , Jiang Yingjie , Ning Nanying , Yu Bing , Tian Ming 
Published: July 2023

AbstractMetal materials play an important role in electromagnetic interference (EMI) shielding due to their ultra‐high electrical conductivity, but they are rigid and inflexible, as well as of high density, which limits their application in some areas. In this study, a novel and simple method to fabricate the composites of metal foil and polymer is reported. A copper foil (Cuf) with micropores on the surface is used as a shielding matrix, then interpenetrating and interlocking nanostructure as well as reactive groups are introduced on its surface, and then silicone rubber (SiR) is coated on both surfaces to form a sandwich structure, and the obtained Cuf/SiR composites possesses high EMI shielding efficiency (SE), strong interface adhesion, and low density. The average EMI shielding efficiency of the obtained Cuf/SiR composites in the range of 1.13–18 GHz is 111.5 dB, with a high interface adhesion strength of 5.2 N cm−1 and low density of 1.3 g cm−3, and it also possesses bending and splicing properties, which exhibits broad potential application in the field of EMI shielding tents and shielding rooms. This preparation method of the composites is simple and efficient, and provides a guideline for the design and fabrication of metal foil/polymer composites in molding method.
Ultrathin Twisted Stacked Gap‐Plasmon Metasurface with Giant and Tunable Shortwave Infrared Chirality
Authors: Han Zexiang , Wang Fei , Sun Juehan , Wang Xiaoli , Tang Zhiyong 
Published: July 2023

AbstractUltrathin optical components with giant circular dichroism hold great promise for polarization‐sensitive nanophotonics. However, existing chiral metamaterials often rely on complex‐shaped nanoinclusions, and there remains a paucity of designs active in the shortwave infrared (SWIR) useful for telecommunication and night vision. Here a detailed numerical analysis of the chiroptical response of a simple twisted stacked variant of gap‐plasmon metasurface is presented based on periodic nanohole arrays. Impressively, the 100‐nm free‐standing plasmonic metasurface can attain a thickness‐normalized ellipticity of up to 74.2° µm−1 with tunable bands in the SWIR. Strong and robust optical activity is achieved through energy confinement by gap surface plasmons and effective inter‐nanohole coupling, resulting in an intense superchiral near field. The ultrathin plasmonic metasurface serves as an excellent platform for refractive index sensing with a sensitivity Sn of up to 648.1 nm RIU−1 and field‐enhanced enantiodiscrimination. The simple metasurface with strong SWIR chirality can enjoy a multitude of potential applications including polarization‐sensitive photodetection, optical telecommunication, machine vision, medical imaging, and spectroscopy. These findings also offer insights into some fundamental design principles for twisted stacked aperture‐based metasurfaces and should facilitate the development of new chiral metamaterials with exceptional performance.
3D Printed Auxetic Structure‐Assisted Piezoelectric Energy Harvesting and Sensing
Authors: Zhou Xinran , Parida Kaushik , Chen Jian , Xiong Jiaqing , Zhou Zihao , Jiang Feng , Xin Yangyang , Magdassi Shlomo , Lee Pooi See 
Published: July 2023

AbstractThe fast development of wearable electronic systems requires a sustainable energy source that can harvest energy from the ambient environment and does not require frequent charging. Piezoelectric polymer films are a perfect candidate for fabricating piezoelectric nanogenerators (PENGs) to harvest mechanical energy from the environment due to their flexibility, good piezoelectricity, and environmental‐independent stable performance because of their inherent polarization. However, most of their applications are limited to the pressing mode energy harvesting that is based on the 3‐3‐direction piezoelectric effect due to the molecular polarization and nonstretchability. In this work, by 3D printing an auxetic structure on a polymer film‐based PENG, the bending deformation of the PENG can be transformed into the well‐controlled in‐plane stretching deformation, enabling the 3‐1‐direction piezoelectric effect. The synclastic effect of the auxetic structure is applied in flexible energy harvesting device for the first time, which makes the previously untapped bending deformation on a film a valuable device for energy harvesting and increases the bending output voltage of the PENG by 8.3 times. The auxetic structure‐assisted PENG is also demonstrated as a sensor to sense the bending angle and monitor the motion by mounting on different joints of the human body and soft robotic finger.
Dealumination of Y zeolite through an economic and eco‐friendly defect‐engineering strategy
Authors: Dong Peng , Zhang Jinyu , Li Tiesen , Wang Chan , Xu Jingdong , Wang Tinghai , Yue Yuanyuan , Jiang Lilong , Bao Xiaojun 
Published: July 2023

AbstractA sustainable defect‐engineering strategy for the dealumination of Y zeolite is described. This strategy includes the green synthesis of a well‐crystallized Y zeolite with point defects arising from the incorporation of Fe atoms by using Fe‐containing perlite and the subsequent preparation of ultra‐stable Y (USY) zeolite by efficient steaming dealumination. The systematic characterizations verify that Fe atoms originally existing in the perlite are incorporated into the as‐synthesized Y zeolite and function as point defects, leading to the distortion of framework Al. The step‐by‐step investigation of dealumination process shows that vacancies are formed by the extraction of framework Fe in ammonium exchange, and the framework dealumination is promoted under the combined effect of the distorted framework Al and the formed vacancies during steaming treatment. The resulting USY zeolite owns excellent features in (hydro)thermal stability, pore structure and acid property, and exhibits outstanding catalytic performance in the cracking of n‐octane and 1,3,5‐triisopropylbenzene.
A scalable and integrated machine learning framework for molecular properties prediction
Authors: Chen Guzhong , Song Zhen , Qi Zhiwen , Sundmacher Kai 
Published: July 2023

AbstractThis work introduced a scalable and integrated machine learning (ML) framework to facilitate important steps of building quantitative structure–property relationship (QSPR) models for molecular property prediction. Specifically, the molecular descriptor generation, feature engineering, ML model training, model selection and ensembling, as well as model validation and timing, are integrated into a single workflow within the proposed framework. Unlike existing modeling methods relying upon human experts that primarily focus on model/hyperparameter selection, the proposed framework succeeds by ensembling multiple models and stacking them in multiple layers. The high efficiency and effectiveness of the proposed framework are demonstrated through comparisons with literature‐reported QSPR models using identical datasets in three property modeling case studies, that is, the flash point temperature, the melting temperature, and the octanol–water partition coefficients. While requiring much less modeling time, the resultant models by the proposed framework present better predictive performance as compared with the reference models in all three case studies.
A short story on how chromophore is hydrolyzed from rhodopsin for recycling
Authors: Hong John D. , Palczewski Krzysztof 
Published: July 2023

AbstractThe photocycle of visual opsins is essential to maintain the light sensitivity of the retina. The early physical observations of the rhodopsin photocycle by Böll and Kühne in the 1870s inspired over a century's worth of investigations on rhodopsin biochemistry. A single photon isomerizes the Schiff‐base linked 11‐cis‐retinylidene chromophore of rhodopsin, converting it to the all‐trans agonist to elicit phototransduction through photoactivated rhodopsin (Rho*). Schiff base hydrolysis of the agonist is a key step in the photocycle, not only diminishing ongoing phototransduction but also allowing for entry and binding of fresh 11‐cis chromophore to regenerate the rhodopsin pigment and maintain light sensitivity. Many challenges have been encountered in measuring the rate of this hydrolysis, but recent advancements have facilitated studies of the hydrolysis within the native membrane environment of rhodopsin. These techniques can now be applied to study hydrolysis of agonist in other opsin proteins that mediate phototransduction or chromophore turnover. In this review, we discuss the progress that has been made in characterizing the rhodopsin photocycle and the journey to characterize the hydrolysis of its all‐trans‐retinylidene agonist.
Implementation and measurement of shared value creation strategies: Proposal of a conceptual model
Authors: Cuevas Lizama Jonathan , Royo‐Vela Marcelo 
Published: July 2023

AbstractCreating shared value (CSV) is a strategic approach that links economic value creation with social and environmental contribution. Despite the popularity of the concept, a clear approach to the construct and its measurement needs further research. This study analyzes and proposes the factors that condition the development of social/environmental strategies by companies that influence shared value strategies and their effects on social, environmental, and economic benefits. The analysis of the literature complemented by a qualitative analysis has allowed us to justify the construct and its dimensions. We propose a conceptual model that considers the main dimensions of the concept and formulate, pending verification, a measurement instrument for CSV strategies.
Application of mesenchymal stem cells in regenerative medicine: A new approach in modern medical science
Authors: Ebrahimi Faezeh , Pirouzmand Farzaneh , Cosme Pecho Renzon Daniel , Alwan Mariam , Yassen Mohamed Mohammed , Ali Mohammed Shnain , Hormozi Arezoo , Hasanzadeh Sajedeh , Daei Narges , Hajimortezayi Zahra , Zamani Majid 
Published: July 2023

AbstractMesenchymal Stem Cells (MSCs) are non‐hematopoietic and multipotent stem cells, which have been considered in regenerative medicine. These cells are easily separated from different sources, such as bone marrow (BM), umbilical cord (UC), adipose tissue (AT), and etc. MSCs have the differentiation capability into chondrocytes, osteocytes, and adipocytes; This differentiation potential along with the paracrine properties have made them a key choice for tissue repair. MSCs also have various advantages over other stem cells, which is why they have been extensively studied in recent years. The effectiveness of MSCs‐based therapies depend on several factors, including differentiation status at the time of use, concentration per injection, delivery method, the used vehicle, and the nature and extent of the damage. Although, MSCs have emerged promising sources for regenerative medicine, there are potential risks regarding their safety in their clinical use, including tumorigenesis, lack of availability, aging, and sensitivity to toxic environments. In this study, we aimed to discuss how MSCs may be useful in treating defects and diseases. To this aim, we will review recent advances of MSCs action mechanisms in regenerative medicine, as well as the most recent clinical trials. We will also have a brief overview of MSCs resources, differences between their sources, culture conditions, extraction methods, and clinical application of MSCs in various fields of regenerative medicine.
Comparison of multi‐column chromatography configurations through model‐based optimization
Authors: Pareek Aditya , Buddhiraju Venkata Sudheendra , Masampally Vishnu Swaroopji , Premraj Karundev , Runkana Venkataramana 
Published: July 2023

AbstractIntegrated continuous bioprocessing has been identified as the next important phase of evolution in biopharmaceutical manufacturing. Multiple platform technologies to enable continuous processing are being developed. Multi‐column counter‐current chromatography is a step in this direction to provide increased productivity and capacity utilization to capture biomolecules like monoclonal antibodies (mAbs) present in the reactor harvest and remove impurities. Model‐based optimization of two prevalent multi‐column designs, 3‐column and 4‐column periodic counter‐current chromatography (PCC) was carried out for different concentrations of mAbs in the feed, durations of cleaning‐in‐place and equilibration protocols. The multi‐objective optimization problem comprising three performance measures, namely, product yield, productivity, and capacity utilization was solved using the Radial basis function optimization technique. The superficial velocities during load, wash, and elute operations, along with durations of distinct stages present in the multi‐column operations were considered as decision variables. Optimization results without the constraint on number of wash volumes showed that 3‐Column PCC performs better than 4‐Column PCC. For example, at a feed concentration of 1.2 mg/mL, productivity, yield and capacity utilization, respectively, were 0.024 mg/mL.s, 0.94, and 0.94 for 3‐Column PCC and 0.017 mg/mL.s, 0.87, and 0.83 for 4‐column PCC. Similar trends were observed at higher feed concentrations also. However, when the constraint on number of wash volumes is included, 4‐Column PCC was found to result in consistent productivity and product yield under different operating conditions but at the expense of reduced capacity utilization.
Intravascular coronary lithotripsy for the treatment of iatrogenic calcium embolization: The “block and crack” technique
Authors: Vella Ciro , Preda Alberto , Ferri Luca , Montorfano Matteo 
Published: July 2023

AbstractIntracoronary calcium embolization during percutaneous procedure is a very rare and unpredictable event, that can lead to serious complications and even expert operators could face some technical issues to solve it. This case report presents a technique called “block and crack” used to manage iatrogenic intracoronary calcium embolization of left anterior descending coronary artery. The technique involves implanting a drug eluting stent (DES) to block the embolus against the vessel wall, followed by the use of lithotripsy balloon inflated inside the DES to crack the calcium and achieve a better stent expansion. This technique allowed to avoid further distal calcium embolization as well as to minimize residual stenosis degree after stent implantation.
Efficiency and dynamic characteristics of improved dual‐stage power converter setup with advanced model predictive controller for electric vehicle battery charging
Authors: Kalirajan Karthik Kumar , Maria Siluvairaj Willjuice Iruthayarajan , Arunavathi Soundarapandian Kamaraja 
Published: July 2023

SummaryThis paper proposes an advanced power converter setup to charge an electric vehicle battery from a renewable energy source, such as solar photovoltaic. An improved Z‐source DC–DC boost converter (IZSBC) is utilized in the first stage. A synchronous rectifier (SR) of a phase‐shifted full‐bridge converter (PSFBC) with continuous conduction mode (CCM) is employed in the second stage using the zero voltage switching (ZVS) technique to provide isolation between the source and the load. To address the disadvantage of undesirable dynamic characteristics of the PSFBC‐SR, an advanced voltage control using the advanced model predictive controller (AMPC) is suggested to improve the dynamic characteristic of the PSFBC‐SR converter and prevent output voltage overshoot. An AMPC‐based new control method is preferred to eliminate body‐diode conduction for improved efficiency at any load conditions. Simulation and experimental designs of 0.5 kW with a 25 V DC input from the SPV, a boosted output of 100 V for a 60 V, 16 Ah battery bank and switching frequencies of 100 and 250 kHz for IZSBC and PSFBC‐SR, respectively, are produced and evaluated. Results show an efficiency of 93.7% with 31.44 W loss in simulations and 93.94% with 30.25 W loss in hardware tests. The preferred system has fast dynamics and is robust to sudden load impedance changes, thereby improving current tracking and reducing converter losses. The AMPC strategy proposed in this paper can increase conversion efficiency and control the output voltage without additional gain tuning.
Creation of the algorithmic management questionnaire: A six‐phase scale development process
Authors: Parent‐Rocheleau Xavier , Parker Sharon K. , Bujold Antoine , Gaudet Marie‐Claude 
Published: July 2023

AbstractThere is an increasing body of research on algorithmic management (AM), but the field lacks measurement tools to capture workers' experiences of this phenomenon. Based on existing literature, we developed and validated the algorithmic management questionnaire (AMQ) to measure the perceptions of workers regarding their level of exposure to AM. Across three samples (overall n = 1332 gig workers), we show the content, factorial, discriminant, convergent, and predictive validity of the scale. The final 20‐item scale assesses workers' perceived level of exposure to algorithmic: monitoring, goal setting, scheduling, performance rating, and compensation. These dimensions formed a higher order construct assessing overall exposure to algorithmic management, which was found to be, as expected, negatively related to the work characteristics of job autonomy and job complexity and, indirectly, to work engagement. Supplementary analyses revealed that perceptions of exposure to AM reflect the objective presence of AM dimensions beyond individual variations in exposure. Overall, the results suggest the suitability of the AMQ to assess workers' perceived exposure to algorithmic management, which paves the way for further research on the impacts of these rapidly accelerating systems.
Network public opinion monitoring and semantic event discovery strategy in mobile edge computing scenario
Authors: Liu Xiaojuan , Lv Qiuying , Rong Qiangqiang 
Published: July 2023

AbstractBuilding a public opinion monitoring system can detect public opinion crises in advance and deal with crisis public relations in a timely manner. Semantic communication is a new type of communication technology with development potential, which reduces the amount of data required for transmission by mining semantic information in information sources. In this paper, a multi‐user semantic communication system based on federated learning deployment is used to realize data transmission in edge computing scenarios. Use the data from the client side to train the deep learning model more effectively. This paper also evaluates the performance of the proposed semantic communication system. The model trained by federated learning can achieve an effect close to centralized training and protect user privacy.