bluuebunny/crossref_metadata_2025 huggingface dataset:
Sex-dependent performance differences in curvilinear aiming arm movements in octogenarians
Authors: Kutz Dieter F. , Fröhlich Stephanie , Rudisch Julian , Müller Katrin , Voelcker-Rehage Claudia
Published: June 2023

In an aging society, it is necessary to detect the cognitive decline of individuals at an early stage using simple measurement methods. This makes early health care possible for those affected. The aim of the study was to develop a classifier for cognitive state in older adults with and without mild cognitive impairment (MCI) based on kinematic parameters of linear and curvilinear aiming arm movements. In a group of 224 older adults over 80 years of age (cognitively healthy and MCI), the movement duration and intersegment intervals of linear and curvilinear arm movements of 20 cm were recorded. Movement duration was significantly longer in the curvilinear condition than in the straight movement, and MCI participants required significantly more time than cognitively healthy participants. Post-hoc analysis on the fluidity of movement in the curvilinear condition showed that MCI men had significantly longer inter-segmental intervals than non-MCI men. No difference was found in women. Based on the inter-segmental intervals, a simple classifier could be developed that correctly classified 63% of the men. In summary, aiming arm movements are only conditionally suitable as a classifier for cognitive states. For the construction of an ideal classifier, age-related degeneration of cortical and subcortical motor areas should be considered.
Investigation of the potential role of fusicoccin, a fungal phytotoxin, in mitigating salt stress in onion roots
Authors: Çavuşoğlu Kürşat , Çavuşoğlu Dilek
Published: June 2023

Fusicoccin is a diterpene glycoside that plays an important role in the regulation of plant growth and development. Fusicoccin produced by Fusicoccum amydali fungus is known to affect plant growth positively with external applications due to its potential to stimulate the tolerance system of plants under stress conditions. In this study, it was aimed to reduce the negative effects of salt (0.15 M NaCl) stress on the germination and growth of onion (Allium cepa L.) bulbs by external fusicoccin (3 µM) application. For this purpose, the germination percentage, root length, root number, fresh weight, mitotic activity, micronucleus frequency, chromosomal abnormality, antioxidant enzyme activity, osmolyte accumulation, cell membrane damage and root anatomical structure were investigated in the current study. Salt stress caused a statistically significant difference (p < 0.05) in all examined parameters. External application of fusicoccin to onion bulbs germinated under salt stress conditions was found to be promising as a plant growth promoter and mitosis stimulator. In addition, fusicoccin application alleviated the harmful effects of salt stress on the chromosome structure and root anatomical structure and protected the cells from the cytotoxic and genotoxic effects of salt. Moreover, this application contributed to the fight against reactive oxygen species of onion plant and increased salt tolerance by regulating the accumulation of osmolyte substances such as proline and antioxidant enzymes such as superoxide dismutase and catalase, and by minimizing cell membrane damage in root cells. In conclusion, this study showed that exogenous application of 3 µM fusicoccin reduced the damage caused by oxidative stress in onion bulbs and served for healthy germination and growth.
Technical Lignin Fractionation: A Powerful Tool for Lignin Structure Homogenization and Its Application
Authors: Sadeghifar Hasan , Ragauskas Arthur
Published: June 2023

Extracted lignin as a by-product of pulping and bio-refining processes is the main available bio-phenolic polymer. The structural complexity, polydispersity, and black color of lignin are the main limiting factors for its application. Preparation of lignin with lower structural complexity and polydispersity through lignin fractionation is one of the primary solutions to engineer lignin into a value-added material. Sequential lignin fractionation was developed based on pH reduction from alkaline to acidic using mineral acids and was recently optimized using carbon dioxide as a pH controller. The partial solubility of lignin in organic solvents is another promising method for lignin fractionation. Organic solvents with different polarity and solubility factors are able to fractionate lignin, yielding a more homogeneous chemical structure. As a modification of the lignin fractionation process, the use of solvents, water/organic solvent mixtures, such as alcohols, and acetic acid from room to high temperature has been proposed as a greener method for lignin fractionation. Using membrane technology is another promising method and current results indicate its good potential for lignin recovery and fractionation.
Lignin as a Biomaterial for Bioimaging
Authors: Mishra Monalisa
Published: June 2023

Applications of lignin-based biomaterials are increasing these days. Their cost-effectiveness and facile synthesis process makes them ideal biomaterials for several branches of science, engineering, and medicine. Their high carbon content, thermal stability, biodegradability, and antioxidant and antimicrobial activity allow them to be used for several applications such as (1) sensors, (2) targeted drug release, and (3) memory materials. Lignin-based biomaterials are less toxic to and are biocompatible with cells. More importantly, they show photoluminescent properties. All these properties make them suitable for biomedical imaging. Biomedical imaging is an obligatory tool for detecting and treating many life-threatening diseases including cancer. Lignin-based biomaterials are used in photodynamic and photothermal therapy. To achieve this, lignin is synthesised with several metal ions or carbon dots using several steps. The achieved lignin-based biomaterials exhibit their fluorescence in the range from 300 nm to 800 nm. The fluorescence properties of lignin allow it to be used in numerous near-infrared applications. This chapter summarises the synthesis and application of lignin-based biomaterials for photodynamic and photothermal therapy.
A NanoCurvS platform for quantitative and multiplex analysis of curvature-sensing proteins
Authors: Lu Chih-Hao , Tsai Ching-Ting , Jones IV Taylor , Chim Vincent , Klausen Lasse H. , Zhang Wei , Li Xiao , Jahed Zeinab , Cui Bianxiao
Published: June 2023

The NanoCurvS platform provides a robust, multiplex, and easy-to-use tool for quantitative analysis of both positive and negative curvature-sensing proteins.
Construction of engineered 3D islet micro-tissue using porcine decellularized ECM for the treatment of diabetes
Authors: Wang Xiaocheng , Jin Lijuan , Liu Wenyu , Stingelin Lukas , Zhang Pan , Tan Zhikai
Published: June 2023

3D islet micro-tissues are fabricatied using porcine decellularized ECM, which could be used not only for islet micro-tissue culture in vitro, but also have great promise for islet transplantation for the treatment of diabetes.
A facile one-stone-two-birds strategy for fabricating multifunctional 3D nanofibrous scaffolds
Authors: Amarjargal Altangerel , Moazzami Goudarzi Zahra , Cegielska Olga , Gradys Arkadiusz , Kolbuk Dorota , Kalaska Bartlomiej , Ruszczyńska Anna , Sajkiewicz Pawel
Published: June 2023

Being a cationic surfactant and antimicrobial agent, the OCT not only changed the wetting behavior of the 2D membrane but also made the nanofibers with antibacterial properties, enabling it to be modified into a multifunctional 3D scaffold in “one stone, two birds” manner.
Achieving high performance in aqueous iron-ion batteries using tunnel-like VO2 as a cathode material
Authors: Xu YuShuang , Li Chang , Deng WenJun , Zhu JinLin , Zhou Yi , Zhu RunDuo , Huang Chao , Zou WenXia , Li Rui
Published: June 2023

An AIIB that uses VO2 as a cathode achieves an excellent capacity of 198 mA h g−1 and a considerable cycling performance. The unique structure of VO2 and the multiple valence states of vanadium enable the reversible storage of Fe2+ during cycling.
Aminative annulation of cyano-enynyl esters leading to functionalized cyclopentenones
Authors: Reddy Chada Raji , Ganesh Veeramalla , Punna Nagender
Published: June 2023

A novel aminative cyclization of cyanomethylated enynyl-esters with a range of secondary amines to uniquely functionalized cyclopentenones involving difunctionalisation of the alkyne with simultaneous annulation is disclosed.
Optimizing the dielectric constant of the shell layer in core–shell structures for enhanced energy density of polymer nanocomposites
Authors: Zhang Quan-Ping , Du Fang-Yan , Liu Xiu , Lv Jia-Hao , He Li , Li Jia-Le , Li Yin-Tao , Zhou Yuan-Lin
Published: June 2023

This work experimentally demonstrated tailoring dielectric constant of shell layer in core–shell structures for alleviating local electric field concentration of polymer nanocomposites, leading to improved dielectric constant meanwhile breakdown strength.
Giant tunneling electroresistance in a 2D bilayer-In2Se3-based out-of-plane ferroelectric tunnel junction
Authors: Han Ziqi , Liu Chun-Sheng , Zheng Xiaohong , Zhang Lei
Published: June 2023

An out-of-plane ferroelectric tunnel junction is constructed with bilayer-In2Se3. Due to the antiferroelectric–ferroelectric transitions, giant tunneling electroresistance and multiple nonvolatile resistance states are achieved.
Chemically induced degradation of epigenetic targets
Authors: Kabir Md , Yu Xufen , Kaniskan H. Ümit , Jin Jian
Published: June 2023

This review summarizes the past and present advances in developing degraders of epigenetic targets which play critical roles in many crucial biological pathways and therefore, targeted for the discovery of therapeutics.
Semi-transparent organic photovoltaics
Authors: Yu Hailin , Wang Jiayu , Zhou Qiao , Qin Jiaqiang , Wang Yinghan , Lu Xinhui , Cheng Pei
Published: June 2023

This tutorial review summarizes the basic concepts, design strategies and potential applications of semi-transparent organic photovoltaics (STOPVs). Challenges and research directions toward the commercialization of STOPVs are also proposed.
Successive short- and long-range magnetic ordering in rosiaite-type CoGeTeO6 prepared by ion-exchange reaction
Authors: Bazhan Roman V. , Nalbandyan Vladimir B. , Vasilchikova Tatyana M. , Koo Hyun-Joo , Whangbo Myung-Hwan , Vasiliev Alexander N.
Published: June 2023

CoGeTeO6, the missing member of the rosiaite family, was obtained from Na2GeTeO6 by ion-exchange reaction. It undergoes short- and long-range magnetic ordering well separated with respect to temperature due to the spin frustration.
Crystal field optimization and fluorescence enhancement of a Mn4+-doped fluoride red phosphor with excellent stability induced by double-site metal ion replacement for warm WLED
Authors: Tong Junze , Hong Feng , Li Long , Pun Edwin Yue Bun , Lin Hai
Published: June 2023

The effective double-site metal ion replacement strategy is adopted to synthesize the K0.6Ba0.7Si0.5Ge0.5F6:Mn4+ red phosphor with efficient water and thermal stability for high-performance warm WLED.
Detection of exposed phosgene in household bleach: development of a selective and cost-effective sensing tool
Authors: Saha Shrabani , Sahoo Prithidipa
Published: June 2023

Preparation of a novel, simple and cost-effective chemosensor (ANO) to detect lethal phosgene exposed from household bleach.
Elucidating the physical, morphometric, nutritional, and bioactive properties of selected highland crops viz. hull-less barley, buckwheat, and black rice for novel food formulation
Authors: Kumari Rashim , Singh Vijay , Padwad Yogendra S. , Gupta Mahesh
Published: June 2023

Highland crops have drawn increased interest as functional foods due to the abundance of bioactive chemicals with health advantages, including antioxidant and immunomodulatory activity.
A direct pathway for the coupling of arenes and alkylamines via a heterogeneous zeolite-based photocatalyst
Authors: Lemmens Vincent , Janssens Kwinten , Gascon Jorge , De Vos Dirk E.
Published: June 2023

A heterogeneous zeolite-based photocatalyst can be used for the sustainable production of N,N-dialkylamines, which have applications in pharmaceuticals, agrochemicals and organic materials.
Learning from the trees: biomimetic crosslinking of silicones by phenolic coupling
Authors: Li Angela Yayun , Melendez-Zamudio Miguel , Yepremyan Akop , Brook Michael A.
Published: June 2023

In a biomimetic process phenolic compounds tethered to silicone polymers undergo radical coupling (and crosslinking) under oxidizing conditions.
Photocarboxylation of remote C–H bonds through nitrogen-centred radical 1,5-hydrogen atom transfer
Authors: Li Wenke , Sun Beiqi , Zhang Lei , Mo Fanyang
Published: June 2023

We have pioneered a methodology for the visible-light-driven carboxylation of remote C−H bonds, employing a nitrogen-centered 1,5-hydrogen atom transfer (1,5-HAT) mechanism, with CO2 serving as the carbon source.
Scalable production of microscopic particles for biological delivery
Authors: Lin Huoyue , Leng Jing , Fan Pingqing , Xu Zixing , Ruan Gang
Published: June 2023

This review discusses a key issue, namely scalable production, in industrial translation of microscopic particles-based drug delivery systems.
Time-resolved operando analysis of the pyrolysis of a PECVD-deposited siloxane polymer using a combined DRIFTS–MS system
Authors: Nguyen Bryan , Tabarkhoon Farnaz , Zhao Linghao , Mishra Ankit , Gupta Malancha , Vashishta Priya , Tsotsis Theodore
Published: June 2023

Experimental and computational study of the mechanism of conversion, via pyrolysis, of pV4D4 films into silica ceramics and of the impact of preparation conditions on their final structure.
Optimization of thermoelectric properties of carbon nanotube veils by defect engineering
Authors: Zeng Chongyang , Stenier Pietro , Chen Kan , Wan Kening , Dong Ming , Li Suwei , Kocabas Coskun , Reece Michael J. , Papageorgiou Dimitrios G. , Volkov Alexey N. , Zhang Han , Bilotti Emiliano
Published: June 2023

Defect engineering of CNT veils, by stretching and heat-repairing, is shown to be a method for optimising thermoelectric performances, as thermal conductivity can be reduced without significantly affecting Seebeck voltage and electrical conductivity.
In situ stimulus-responsive self-assembled nanomaterials for drug delivery and disease treatment
Authors: Yan Ziling , Liu Yanfei , Zhao Licheng , Hu Jiaxin , Du Yimin , Peng Xingxing , Liu Zhenbao
Published: June 2023

This review reveals the principles and relationships between the structures and properties of in situ self-assembled nanomaterials, explores the assembly driving forces, and provides guidance for development of in situ targeted drug delivery systems.
Recent advances of structural/interfacial engineering for Na metal anode protection in liquid/solid-state electrolytes
Authors: Yang Zirui , Shi Ruijuan , Shen Zhen , Zhao Yong
Published: June 2023

Failure mechanisms of Na anodes are highlighted in this review, along with the novel strategies offered by the structural/interfacial engineering for regulating Na electroplating/stripping behavior.
Advanced Pt-based electrocatalysts for the hydrogen evolution reaction in alkaline medium
Authors: Ma Wei , Zhang Xueyuan , Li Wenya , Jiao Menggai , Zhang Lili , Ma Renzhi , Zhou Zhen
Published: June 2023

Strategies for optimizing the hydrogen evolution reaction kinetics on Pt-based electrocatalysts in alkaline medium are summarized, including accelerating water dissociation, optimizing hydrogen binding energy and modulating electrocatalysts dimensions.
A Pd–Sn heterobimetallic catalyst for carbonylative Suzuki, Sonogashira and aminocarbonylation reactions using chloroform as a CO surrogate
Authors: Mohanty Anuradha , Nayak Mukesh Kumar , Roy Sujit
Published: June 2023

A variety of ketones, amides, and aromatic ynones were synthesized in moderate to good yields in the presence of a heterobimetallic PdCl(PPh3)2SnCl3 catalyst by using chloroform as a CO source in a one-pot fashion.
A series of boron difluoride complexes of azinylcarbazoles: synthesis and structure–property relationships
Authors: Yamamoto Koji , Matsui Shun , Kato Shin-ichiro , Nakamura Yosuke
Published: June 2023

A series of boron difluoride complexes of azinylcarbazoles were systematically synthesized, and structure–property relationships were clarified.
Constructing NiMoP nanorod arrays with a highly active Ni2P/NiMoP2 interface for hydrogen evolution in 0.5 M H2SO4 and 1.0 M KOH media
Authors: Ma Mengyao , Xia Wei , Liu Wenhao , Guo Xiaoyan , Cao Dong , Cheng Daojian
Published: June 2023

A NiMoP nanorod array catalyst with excellent hydrogen evolution reaction (HER) activity under both acidic and alkaline conditions is constructed. Mechanism studies reveal that the Ni2P/NiMoP2 heterointerface is the main active site of HER.
Tunable electronic structure of heterosite FePO4: an in-depth structural study and polaron transport
Authors: Banday Azeem , Shahid Raza , Gupta Mukul , Murugavel Sevi
Published: June 2023

The development of better electrode materials for lithium-ion batteries has been intensively investigated both due to their fundamental scientific aspects as well as their usefulness in technological applications.
An ionic liquid- and PEO-based ternary polymer electrolyte for lithium metal batteries: an advanced processing solvent-free approach for solid electrolyte processing
Authors: Herbers Lukas , Küpers Verena , Winter Martin , Bieker Peter
Published: June 2023

A processing solvent-free manufacturing process for cross-linked ternary solid polymer electrolytes (TSPEs) is presented.
A fruitful century for the scalable synthesis and reactions of biphenyl derivatives: applications and biological aspects
Authors: Ali Hajar A. , Ismail Mohamed A. , Fouda Abd El-Aziz S. , Ghaith Eslam A.
Published: June 2023

This review provides recent developments in the current status and latest synthetic methodologies of biphenyl derivatives.
Organophotocatalytic carbo-heterofunctionalization of unactivated olefins with pendant nucleophiles
Authors: Fischer David M. , Freis Manuel , Amberg Willi M. , Lindner Henry , Carreira Erick M.
Published: June 2023

The difunctionalization of unactivated, terminal olefins through intermolecular addition of α-bromoketones, -esters, and -nitriles followed by formation of 4- to 6-membered heterocycles with pendant nucleophiles is reported.
Transparent and iridescent photonic films with intelligent responsive ability based on electrospun core–shell nanofibrous membranes
Authors: Shen Yang , Luo Hao , Hou Jiazi , Xie Fengwei
Published: June 2023

The fabrication of transparent and iridescent photonic films that possess intelligent responsiveness by membrane electrospinning is challenging due to the lack of periodic changes in the refractive index (RI) of electrospun membranes.
Excellent energy storage performance of (Sc0.5Ta0.5)4+ modified (Bi0.5Na0.5)TiO3-based ceramics modulated by the evolution of polar phases
Authors: He Bin , Ochirkhuyag Tumentsereg , Feng Wuwei , Liu Meitang , Liu Shuo , Bao Zhidi , Hu Cheng , Zhong Yi , Odkhuu Dorj
Published: June 2023

An ultrahigh energy storage performance is achieved in the BNST-20% (Sc0.5Ta0.5)4+ ceramic via chemical modification, which could induce the evolution of oxygen vacancies and local polar phases to achieve a high saturation polarization.
Facile synthesis of cobalt fluoride (CoF2)/multi-walled carbon nanotube (MWCNT) nanocomposites and improvement of their electrochemical performance as cathode materials for Li-ion batteries
Authors: Park Hayoung , Jang Il-Seop , Song Bo-Ye , Kang Yun Chan , Kim Seongseop , Chun Jinyoung
Published: June 2023

Conversion-type metal fluoride cathodes are considered promising candidates for electrochemical applications owing to their large specific capacities and high operating voltages.
Visualization of the surface reconstruction and dynamic catalytic sites of Ni–Fe catalysts for the oxygen evolution reaction by in situ Raman measurements
Authors: Zhao Jia-Wei , Yue Kaihang , Shi Zi-Xiao , Wei Shu-Yin , Liang Wei-Qian , Li Gao-Ren
Published: June 2023

In situ spectroscopic characterization has been considered as a key method to study catalytic mechanisms.
Effect of functional groups in passivating materials on stability and performance of perovskite solar cells
Authors: Kim Jeong-Hyeon , Kang Dong-Ho , Lee Dong-Nam , Park Nam-Gyu
Published: June 2023

Functional groups (ammonium versus amidinium and aryl versus alkyl) of passivating materials play a critical role in the surface passivation of perovskite films.
Research progress on modified Zn substrates in stabilizing zinc anodes
Authors: Li Le , Jia Shaofeng , Cao Minghui , Ji Yongqiang , Qiu Hengwei , Zhang Dan
Published: June 2023

This review presents a systematic overview of modified Zn substrates in stabilizing zinc anodes, mainly focusing on three aspects: (1) treatment of the zinc foil surface; (2) reconstruction of the zinc foil structure; (3) reconstruction of the zinc powder structure.
A highly tough, fatigue-resistant, low hysteresis hybrid hydrogel with a hierarchical cross-linked structure for wearable strain sensors
Authors: Guan Shiqiang , Xu Chang , Dong Xufeng , Qi Min
Published: June 2023

The hierarchical cross-linked hydrogel displayed excellent mechanical properties. The hydrogel exhibited fatigue-resistance, low hysteresis and reversible adhesion. The hydrogel-based strain sensor can monitor human motion with high sensitivity.
3D printed and stimulus responsive drug delivery systems based on synthetic polyelectrolyte hydrogels manufactured via digital light processing
Authors: Vaupel Sonja , Mau Robert , Kara Selin , Seitz Hermann , Kragl Udo , Meyer Johanna
Published: June 2023

Combining the best of both worlds: the properties of synthetic hydrogels and the possibility of complex structures of 3D printing, obtaining an adjustable, flexible, and sustainable drug delivery system.
Nanocellulose-based hydrogels for drug delivery
Authors: Ai Yusen , Lin Zhongxin , Zhao Wenqi , Cui Mei , Qi Wei , Huang Renliang , Su Rongxin
Published: June 2023

This article presents a comprehensive review of the preparation methods, carrier forms, and key parameters of nanocellulose-based hydrogels as drug delivery systems. And it proposes potential research directions.
Application of cell membrane-functionalized biomimetic nanoparticles in the treatment of glioma
Authors: Zhang Guangchuan , Yao Minghao , Ma Shanshan , Zhang Kun , Wang Yujue , Wang Zhimin , Liang Jiaheng , Dai Shan , Jin Ruimei , Guan Fangxia
Published: June 2023

Different kinds of cell membrane-functionalized biomimetic nanoparticles utilized for glioma therapy.
Antibacterial black phosphorus nanosheets for biomedical applications
Authors: Xu Yuanyuan , Chen Siyuan , Zhang Yuxin , Wu Can , Li Lei , Hu Xuefeng , Zhang Jieyu , Wang Yunbing
Published: June 2023

This review highlights the potential of black phosphorus nanosheets (BPNs) in treating bacterial infections, addressing their unique properties as well as the challenges and prospects of their antibacterial applications in biomedicine.
Deep learning in crowd counting: A survey
Authors: Deng Lijia , Zhou Qinghua , Wang Shuihua , Górriz Juan Manuel , Zhang Yudong
Published: June 2023

Counting high‐density objects quickly and accurately is a popular area of research. Crowd counting has significant social and economic value and is a major focus in artificial intelligence. Despite many advancements in this field, many of them are not widely known, especially in terms of research data. The authors proposed a three‐tier standardised dataset taxonomy (TSDT). The Taxonomy divides datasets into small‐scale, large‐scale and hyper‐scale, according to different application scenarios. This theory can help researchers make more efficient use of datasets and improve the performance of AI algorithms in specific fields. Additionally, the authors proposed a new evaluation index for the clarity of the dataset: average pixel occupied by each object (APO). This new evaluation index is more suitable for evaluating the clarity of the dataset in the object counting task than the image resolution. Moreover, the authors classified the crowd counting methods from a data‐driven perspective: multi‐scale networks, single‐column networks, multi‐column networks, multi‐task networks, attention networks and weak‐supervised networks and introduced the classic crowd counting methods of each class. The authors classified the existing 36 datasets according to the theory of three‐tier standardised dataset taxonomy and discussed and evaluated these datasets. The authors evaluated the performance of more than 100 methods in the past five years on different levels of popular datasets. Recently, progress in research on small‐scale datasets has slowed down. There are few new datasets and algorithms on small‐scale datasets. The studies focused on large or hyper‐scale datasets appear to be reaching a saturation point. The combined use of multiple approaches began to be a major research direction. The authors discussed the theoretical and practical challenges of crowd counting from the perspective of data, algorithms and computing resources. The field of crowd counting is moving towards combining multiple methods and requires fresh, targeted datasets. Despite advancements, the field still faces challenges such as handling real‐world scenarios and processing large crowds in real‐time. Researchers are exploring transfer learning to overcome the limitations of small datasets. The development of effective algorithms for crowd counting remains a challenging and important task in computer vision and AI, with many opportunities for future research.
Rule acquisition of three‐way semi‐concept lattices in formal decision context
Authors: Zhao Jie , Wan Renxia , Miao Duoqian , Zhang Boyang
Published: June 2023

Three‐way concept analysis is an important tool for information processing, and rule acquisition is one of the research hotspots of three‐way concept analysis. However, compared with three‐way concept lattices, three‐way semi‐concept lattices have three‐way operators with weaker constraints, which can generate more concepts. In this article, the problem of rule acquisition for three‐way semi‐concept lattices is discussed in general. The authors construct the finer relation of three‐way semi‐concept lattices, and propose a method of rule acquisition for three‐way semi‐concept lattices. The authors also discuss the set of decision rules and the relationships of decision rules among object‐induced three‐way semi‐concept lattices, object‐induced three‐way concept lattices, classical concept lattices and semi‐concept lattices. Finally, examples are provided to illustrate the validity of our conclusions.
A dual robust control architecture with variable stiffness and damping parameters for switching task dominance in collaborative haptic systems
Authors: Motaharifar Mohammad , Sharifi Iman , Sadeghi Hamed , Taghirad Hamid D.
Published: June 2023

In collaborative haptic training systems, a novice operator is interfaced with an expert operator and cooperatively performs some task on a real/virtual environment. Most control architectures for collaborative haptic training systems do not consider the switching task dominance together with investigating overall stability in the presence of nonlinear dynamics and uncertainty. In this paper, a theoretical framework is presented for switching task dominance in collaborative haptic training systems based on supervision and intervention of the expert operator. To that effect, the novice operator performs the operation with as little as possible interference haptic signals in the normal operational conditions. On the other hand, the expert operator is able to intervene the operation to guide the novice operator when it is necessary. The most challenging part of controller design for such systems is to provide the mentioned supervisory framework in a way that the stability of interaction between the operators and the system is ensured with acceptable task performance in various operational conditions. This work offers a variable‐gain dual robust control scheme to address the above problem. The key idea is that the tracking gain of each controller is adjusted in real‐time to switch the task authorities. It is verified that the input‐to‐state stability property is satisfied for each subsystem. Then, the overall stability is proved by leveraging the small gain theorem. Finally, the functionality and performance of the suggested control architecture is demonstrated through simulation and experimental studies.
Multi‐stage stochastic long‐term planning of grid‐connected hydrogen‐based energy system based on improved SDDIP
Authors: Cao Binrui , Wu Xiong , Liu Bingwen , Wang Xiuli , Wang Penglei , Wu Yunyi
Published: June 2023

Hydrogen‐based energy systems (HESs) have shown great potential to promote the process of decarbonization. Conventional studies mainly focus on the sizing and operation of HESs in a determined static situation, and the dynamic planning model of HESs considering large‐scale uncertain scenarios of future developments should be considered. This paper proposes a multi‐stage stochastic programming (MSP) long‐term planning model to find the optimal sequential planning results of the grid‐connected HES. The planning model considers the long‐term uncertainties of the investment cost decrease and the load increase. Additionally, the short‐term uncertainties of renewable energies are also considered to obtain robust results in each stage. The improved stochastic dual dynamic integer programming (SDDIP) is then employed to solve the MSP long‐term planning model with consideration of the realized uncertainties. Specifically, the sequential planning order is developed to improve the efficiency of the SDDIP. Numerical case studies are constructed to show the convergence process of the improved SDDIP and the planning results of the HES. Moreover, the improved SDDIP shows greater efficiency compared with the traditional SDDIP and the method which solves the model directly.
User trajectory prediction in mobile wireless networks using quantum reservoir computing
Authors: Mlika Zoubeir , Cherkaoui Soumaya , Laprade Jean Frédéric , Corbeil‐Letourneau Simon
Published: June 2023

This paper applies a quantum machine learning technique to predict mobile users' trajectories in mobile wireless networks by using an approach called quantum reservoir computing (QRC). Mobile users' trajectories prediction belongs to the task of temporal information processing, and it is a mobility management problem that is essential for self‐organising and autonomous 6G networks. Our aim is to accurately predict the future positions of mobile users in wireless networks using QRC. To do so, the authors use a real‐world time series dataset to model mobile users' trajectories. The QRC approach has two components: reservoir computing (RC) and quantum computing (QC). In RC, the training is more computational‐efficient than the training of simple recurrent neural networks since, in RC, only the weights of the output layer are trainable. The internal part of RC is what is called the reservoir. For the RC to perform well, the weights of the reservoir should be chosen carefully to create highly complex and non‐linear dynamics. The QC is used to create such dynamical reservoir that maps the input time series into higher dimensional computational space composed of dynamical states. After obtaining the high‐dimensional dynamical states, a simple linear regression is performed to train the output weights and, thus, the prediction of the mobile users' trajectories can be performed efficiently. In this study, we apply a QRC approach based on the Hamiltonian time evolution of a quantum system. The authors simulate the time evolution using IBM gate‐based quantum computers, and they show in the experimental results that the use of QRC to predict the mobile users' trajectories with only a few qubits is efficient and can outperform the classical approaches such as the long short‐term memory approach and the echo‐state networks approach.
An atypical plateau-like extreme-ultraviolet late-phase solar flare driven by the nonradial eruption of a magnetic flux rope
Authors: Chen Yuehong , Dai Yu , Ding Mingde
Published: June 2023

Context. Recent observations in extreme-ultraviolet (EUV) wavelengths reveal an EUV late phase in some solar flares that is characterized by a second peak in the warm coronal emissions (∼3 MK) occurring several tens of minutes to a few hours after the corresponding main flare peak.

Aims. Our aim is to clarify the physical origin of an atypical plateau-like EUV late phase in an X1.8-class solar flare occurring on 2011 September 7 from active region (AR) 11283.

Methods. We mainly took advantage of observations with the three instruments on board the Solar Dynamics Observatory (SDO). We first characterized the plateau-like late phase using EUV Variability Experiment (EVE) full-disk integrated irradiance observations and Atmospheric Imaging Assembly (AIA) spatially resolved imaging observations. Then we performed a nonlinear force-free-field (NLFFF) extrapolation of the AR magnetic fields based on the photospheric vector magnetogram with the Helioseismic and Magnetic Imager (HMI), from which a filament-hosting magnetic flux rope (MFR) is revealed. The eruption of the MFR is tracked both in the plane of the sky (POS) and along the line of sight (LOS) through visual inspection and spectral fitting, respectively. Finally, we carried out differential emission measure (DEM) analysis to explore the thermodynamics of the late-phase loops.

Results. The MFR shows a nonradial eruption from a fan-spine magnetic structure. The eruption of the MFR and its interaction with overlying arcades invoke multiple magnetic reconnections that are responsible for the production of different groups of late-phase loops. Afterward, the late-phase loops enter a long-lasting cooling stage, appearing sequentially in AIA passbands of decreasing response temperatures. Due to their different lengths, the different groups of late-phase loops cool down at different rates, which makes their warm coronal emission peaks temporally separated from each other. Combining the emissions from all late-phase loops together, an elongated plateau-like late phase is formed.
TDCOSMO
Authors: Wells Patrick , Fassnacht Christopher D. , Rusu C. E.
Published: June 2023

Context.Time-delay cosmography uses strong gravitational lensing of a time-variable source to infer the Hubble constant. The measurement is independent from both traditional distance ladder and CMB measurements. An accurate measurement with this technique requires considering the effects of objects along the line of sight outside the primary lens, which is quantified by the external convergence (κext). In absence of such corrections,H0will be biased towards higher values in overdense fields and lower values in underdense fields.

Aims.We discuss the current state of the methods used to account for environment effects. We present a new software package built for this kind of analysis and others that can leverage large astronomical survey datasets. We apply these techniques to the SDSS J0924+0219 strong lens field.

Methods.We infer the relative density of the SDSS J0924+0219 field by computing weighted number counts for all galaxies in the field, and comparing to weighted number counts computed for a large number of fields in a reference survey. We then compute weighted number counts in the Millennium Simulation and compare these results to infer the external convergence of the lens field.

Results.Our results show the SDSS J0924+0219 field is a fairly typical line of sight, with medianκext = −0.012 and standard deviationσκ = 0.028.
Apertif 1.4 GHz continuum observations of the Boötes field and their combined view with LOFAR
Authors: Kutkin A. M. , Oosterloo T. A. , Morganti R. , Offringa A. R. , Adams E. A. K. , Adebahr B. , Dénes H. , Hess K. M. , van der Hulst J. M. , de Blok W. J. G. , Bozkurt A. , van Cappellen W. A. , Gunst A. W. , Holties H. A. , van Leeuwen J. , Loose G. M. , Oostrum L. C. , Vohl D. , Wijnholds S. J. , Ziemke J.
Published: June 2023

We present a new image of a 26.5 square degrees region in the Boötes constellation obtained at 1.4 GHz using the Aperture Tile in Focus (Apertif) system on the Westerbork Synthesis Radio Telescope. We use a newly developed processing pipeline that includes direction-dependent self-calibration, which provides a significant improvement in the quality of the images compared to those released as part of the Apertif first data release. For the Boötes region, we mosaicked 187 Apertif images and extracted a source catalog. The mosaic image has an angular resolution of 27 × 11.5″ and a median background noise of 40 μJy beam−1. The catalog has 8994 sources and is complete down to the 0.3 mJy level. We combined the Apertif image with LOFAR images of the Boötes field at 54 and 150 MHz to study the spectral properties of the sources. We find a spectral flattening toward sources with a low flux density. Using the spectral index limits from Apertif nondetections, we derive that up to 9% of the sources have ultrasteep spectra with a slope below −1.2. A steepening of the spectral index with increasing redshift is also seen in the data, which shows a different dependence for the low-and high-frequency spectral index. The explanation probably is that a population of sources has concave radio spectra with a turnover frequency of about the LOFAR band. Additionally, we discuss cases of individual extended sources with an interesting resolved spectral structure. With the improved pipeline, we aim to continue to process data from the Apertif wide-area surveys and release the improved 1.4-GHz images of several well-known fields.
Spatiotemporal distribution prediction of coughing airflow at mouth based on machine learning - Part I: Study on boundary conditions at mouth in numerical simulation of cough airflow
Authors: Wu Xunmei , Han Mengtao , Han Wenqi , Peng Yaqing , Chen Hong
Published: June 2023

In the post epidemic era, the movement and distribution of pathogenic airflow and droplets produced by cough in the building space have been widely studied. Due to the limitations of research methods, there are few detailed research data on the temporal and spatial distribution of boundary conditions during cough, which is the basis of research and the key boundary conditions of computer simulation. Previous experiments have obtained cough airflow velocity distribution away from the mouth. This study aims to infer detailed data at mouth for CFD boundary conditions based on these experimental data. This is the first part of the research. Based on experiments, the types of parameters contained in the boundary conditions near the mouth during coughing are discussed. The main parameters are determined, including the maximum velocity of the mouth air flow, and the distribution function of the ejected air flow, among others, and the approximate value range. Different parameter combinations are used as boundary conditions for simulation, and with various combinations, database of conditions are obtained. Preliminary machine learning is performed on these databases, and boundary condition data consistent with experimental results are inferred. The study demonstrates that when the velocity distribution of the air flow at mouth satisfies the normal distribution function on the central vertical two-dimensional profile, the maximum velocity of the mouth air flow is 15m/s. Part 2 will use the complex neural network model to fit and infer more accurate boundary condition. The findings of this study can provide more accurate boundary conditions for simulating pathogenic airflow, as well as a supplementary database for epidemiological research.
Kindergarten physical setting guidelines: A review from indoor air quality perspectives
Authors: Zakaria I.B. , Mahyuddin N. , Mohd-Sahabuddin M.F.
Published: June 2023

The kindergarten’s indoor air contained a number of pollutants, including total volatile organic compounds, particulate matter, carbon monoxide and insufficient ventilation with high carbon dioxide levels, which exceeded the indoor air quality (IAQ) guideline. The presence of these pollutants is caused by various factors including inappropriate physical setting. Indisputably, authorities throughout the countries provide guidelines for designing kindergartens' spaces, however it is limited to general explanations and only guided by early education compliance. It is vital to determine which kindergarten regulations may contribute to poor IAQ. This paper explores national kindergarten physical setting guidelines and how it affects IAQ. A document analysis method was used to determine the characteristics and differences between kindergarten guidelines. Firstly, the composition of each kindergarten guideline was itemised. Then, the study was conducted by making comparisons of the identified items. All the criteria were further reviewed from IAQ perspectives. This study was conducted on guidelines in Australia, Canada, the United States, Singapore and Malaysia. There are five physical setting requirements that influence IAQ : minimum indoor space required per child, sleep area, kitchen and food preparation area, ventilation requirements and furniture and finishes. All activities happen in this microenvironment contribute to IAQ, which is also affected by the ventilation system, furniture and finishes selection. It can be concluded that there is still room for improvement in existing guidelines by taking into account the indoor air perspective. Aside from the main function of kindergarten to provide education, the physical setting of kindergarten also plays a significant role in the growth and health of chidren.
Resiliency comparison of radiant cooling systems and all- air systems
Authors: Shindo Kan , Shinoda Jun , Kazanci Ongun B. , Bogatu Dragos-Ioan , Tanabe Shin-ichi , Olesen Bjarne W.
Published: June 2023

Radiant systems have been proven to be an energy-efficient and resource-effective heating and cooling solution for buildings. A key feature of a thermally active building system (TABS), one type of a radiant cooling system, is its ability to activate and control the thermal mass of the building structure. The advantage of this feature is the peak load shifting effect by the thermal mass, which leads to energy saving compared to a conventional system, e.g., an all-air system. This feature of the radiant cooling system could be particularly beneficial under a heat wave and power outage event. Dynamic building simulations were carried out to quantify the resilience of TABS to heat waves and power outages. An all-air system (i.e., airconditioning) was used as the reference cooling system. The simulations were carried out using EnergyPlus. Future weather files (typical meteorological years and years with heat waves) developed in IEA EBC Annex 80 were used for the simulations. In both HVAC systems. Simulation results for future weather data resulted in a decrease in heating demand and an increase in cooling demand.
Dynamic simulation of a hydrogen-fueled system for zero-energy buildings using TRNSYS software
Authors: Abdolmaleki Leila , Berardi Umberto
Published: June 2023

As a result of global warming and environmental pollution over the past few decades, life on Earth has been adversely affected. For this reason, large-scale zero-energy buildings have garnered considerable attention for utilizing clean energy resources. Hydrogen is a green and sustainable fuel with remarkable features of having high efficiency, higher energy content than diesel and gasoline, and producing only water as waste. Hydrogen can be integrated with a hybrid renewable energy system as safe and reliable energy storage for a longer time in net zero energy buildings compared to batteries with short-time energy storage capability. The focus of this study is to find the optimum design for a hydrogen storage system to isolate a small lab building from grid power by providing its hourly energy needs with renewable resources located in Toronto, Canada. Hence, a model using TRNSYS software is developed to study the behaviour of an energy system that could supply electricity to the lab building. To conduct a case study, TRNSYS is used to extract the solar irradiance during one year for climate data of Toronto. The system mainly comprises solar panels, an electrolyzer, a fuel cell, and a hydrogen storage tank. According to the results, renewable energy system reliability can be increased throughout the entire year period, and grid dependency reduced by adding a hydrogen storage system. Based on the optimized simulation results the system can supply the load demands of the lab in a year with the solar panel electricity production and the hydrogen storage unit without requiring grid power.
Empirical validation and analysis of the energy performance of an ecological Net Zero Energy Building (NZEB) in Benguerir-Morocco
Authors: Idrissi Kaitouni Samir , Mghazli Mohamed Oualid , Nait-Taour Abdallah , Es-Sakali Niima , El Mankibi Mohamed , Ahachad Mohammed , Brigui Jamal
Published: June 2023

Within the framework of the sustainable development and carbon-neutrality, the building sector is a key target of the national energy strategy towards zero-carbon economy in Morocco. This article comes in response to this need by assessing the energy performance of a solar-powered low-embodied-carbon building in the semi-arid climate of Benguerir-Morocco, which refers to the fifth climatic zone in the thermal regulation for constructions in Morocco (RTCM). To do so, we’ve used Openstudio as the building energy modeling tool to investigate the energy self-sufficiency of a detached Net Zero Energy Building (NZEB) that has a floor area of 47 m², uses earth-based material as the main component part of the building envelope and has a photovoltaic installation with a capacity of 4 kW. The accuracy of the building energy model was empirically validated following ASHRAE 14 guidelines by monitoring hourly indoor temperatures for 8 days during summer season. Results show that annual thermal needs for cooling and heating are 123.4 kWh/m²/year and the calculated annual self-sufficiency (SS) of the building is 1.25, which means that the solar technology greatly offsets the electrical needs of the building and rech the goal of Zero Energy Building.