bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and implementation of pesticide residues detection system
Authors: Keh Huan‐Chao , Chiang Rui‐Dong , Chang Shih‐Hao , Hung Wen‐Pin 
Published: March 2022

AbstractAt present, pesticide residue testing is done by professionals in the laboratory, because test results are not fast enough for market demand. The process of taking data is cumbersome and error‐prone; although some operators have developed wireless pesticide residue detectors. But its' Internet of Things (IoT) system can only upload detection results to the database, and does not carry out subsequent analysis or provide warning services. This study will redesign and implement an IoT pesticide residue detection system, which will allow users to view the detection results through the webpage and mobile app after uploading those results. At the same time, when there are some abnormal situations like missing spare parts or getting abnormal detection results, this system will automatically send a warning message to the relevant person's mobile phone, so the users can fix errors as soon as possible. Besides, this study also designed a sharing function; this function allows users to set conditions to list the filtered detection results, and automatically send the QR code and website address of the detection results list to the user mailbox. Finally, the user can send the QR code or website to other relevant personnel for confirmation of detection results.
Enhanced data‐aided frequency estimation by collaboration in a distributed receiver
Authors: Waqas Ahsan , Lechner Gottfried , Chan Terence , Nguyen Khoa 
Published: March 2022

AbstractIn this paper, a communication system with digital burst‐mode transmission and distributed reception in the presence of carrier frequency offset and Additive White Gaussian Noise (AWGN) is considered. The distributed receiver consists of distributed nodes and a fusion center. Data‐aided frequency estimation at a receiving node can be performed using a preamble. However, accurate frequency estimation may not be achievable at nodes with low signal‐to‐noise ratio (SNR). The problem can be alleviated by collaboration between nodes. Low‐SNR nodes can improve their data‐aided frequency estimation by fetching already decoded symbols from the fusion center. This paper investigates deterministic and data dependent criteria for selecting and fetching of additional symbols. The mean‐square error (MSE) of frequency estimation errors achieved by different criteria are numerically compared via Monte‐Carlo simulations. The Cramer–Rao Lower Bounds (CRLB) for frequency estimation under the considered criteria are presented. The bit‐error‐rates (BER) of the distributed receiver across different symbol fetching schemes are numerically compared.
Accelerated convergence of time‐splitting algorithm by relaxation method
Authors: Gao Jiaxin , Li Shengbo Eben , Ma Fei , Li Wenyu , Sun Hao , Maihemuti Maierdanjiang , Jin Chun 
Published: March 2022

AbstractThe alternating direction method of multipliers (ADMM) is a widely used model predictive control (MPC) acceleration method. It adopts the time‐splitting technique, splitting the original problem into independent subproblems. Relaxed ADMM (R‐ADMM) is a generalization of ADMM that often achieves faster convergence. However, its parameters must be chosen by an expert user. Besides, the existing convergence proof of R‐ADMM adopts a first‐order Taylor approximation, which makes the range of relaxation factors conservative. We tackle these weaknesses by giving rigorous evidence and finding the optimal relaxation factor. Firstly, we deduce the convergence of the R‐ADMM algorithm, yielding an accurate range of relaxation factors. Then, we analyze the relationship between convergence rate and relaxation factor and conclude that the optimal relaxation factor depends on a recurrence condition. Since splitting introduces the equality constraint, the decoupled states are getting close in the iteration, meeting the recursive requirements and helping find the optimal relaxation factor. Finally, various trajectory tracking tasks are conducted to verify the efficiency of the R‐ADMM algorithm. And the simulation results show that the R‐ADMM algorithm reduces the number of iterations by 63.7% compared with the ADMM algorithm in the double lane change task.
Self‐decoupled tapered slot antenna using defected radiator structure
Authors: Mu Yajie , Liu Haixia , Han Jiaqi , Xia Dexiao , Li Long 
Published: March 2022

AbstractA self‐decoupled tapered slot antenna (TSA) by rejecting the coupling wave is proposed in this paper. Such TSA arrays have high isolation without introducing additional decoupling structures. And compared with the reference TSA, the self‐decoupled TSA is obtained by the defected radiator structure, which is etched with multiple continuous cross grooves on the two fins of TSA. The reason why the defected radiator structure can be decoupled is that it has a band‐stop characteristic within the operating frequency band of the TSA. The TSA with and without the defected radiator structure is studied that the TSA with defected radiator structure achieves ultra‐wideband decoupling from 3 to 11 GHz. Moreover, the gain of the self‐decoupled TSA is improved at most frequencies. A prototype of the self‐decoupled TSA and the reference TSA are fabricated and measured. An excellent agreement between simulated and measured results is obtained. The isolation level of the self‐decoupled TSA improves by a maximum of 12 dB at 6 GHz. The mutual coupling is reduced by 1 to 12 dB over the entire operating frequency band. In addition, the peak gain of the self‐decoupled TSA is improved by up to 1.5 dBi.
Arbitrary style transfer with attentional networks via unbalanced optimal transport
Authors: Li Jie , Wu Liwen , Xu Dan , Yao Shaowen 
Published: March 2022

AbstractArbitrary style transfer aims to stylize the content image with the style image. The key problem of style transfer is how to balance the global content structure and the local style patterns. A promising method to solve this problem is the attentional style transfer method, where a learnable embedding of image features enables style patterns to be flexibly recombined with the content image, so local style patterns will be well preserved in the stylized image. However, current attentional style transfer methods cannot well preserve the global content structure. To solve this problem, a novel attentional style transfer network is proposed, that relies on Optimal Transport (OT) for computing the attention map. The proposed OT‐based attention ensures the similarity between global distributions of the synthesized image and its corresponding style image. For the optimal transport computation, a regularized formulation is used, which not only allows an unbalanced optimal transport to address the deviational distributions but also improves the robustness of stylized results. The proposed method finds a well balance between the global content structure and local style patterns. Various experiments are conducted to demonstrate the superiority of the proposed method over state‐of‐the‐art methods.
CPDINet: Blind image quality assessment via a content perception and distortion inference network
Authors: Shao Xiao , Liu Mengqing , Li Zihan , Zhang Peiyun 
Published: March 2022

AbstractNowadays, it is still challenging for the blind image quality assessment (BIQA) to accurately predict quality scores of distorted images, since distorted images have rich content information and complex distortions. To solve these problems, a content perception and distortion inference network for BIQA is proposed, which divides IQA task into content perception and distortion inference processes. Since humans try to understand image content before perceiving quality scores, a content feature extractor is designed to explore content information in an image to deal with the content variation problem. To handle the distortion diversity problem, a distortion feature extractor is proposed to capture distortion features in images. Because extracted content features and distortion ones have different characteristics, attention‐based fusion blocks to fuse multi‐scale content features and distortion ones as guidance to selectively enhance important features based on calculated weight scores are proposed. With fused features, a quality prediction module is designed to regress multi‐scale features to quality scores. Experiments are performed on six public IQA datasets, including LIVE, CSIQ, TID2013, LIVEC, KonIQ‐10k, and SPAQ. Experimental results show that the proposed method can effectively predict quality scores for both synthetically and authentically distorted images than its peers, including the state‐of‐the‐art methods.
Design of a hexagonal outlined porous cladding with vacant core photonic crystal fibre biosensor for cyanide detection at THz regime
Authors: Islam Mohammad Rakibul , Naser Ahmed Mujtaba Al , Jaba Fatema Zerin , Anzum Fariha , Iftekher Abu Nayeem Mohammad , Khan Md Rezaul Hoque , Nishat Mirza Muntasir 
Published: March 2022

AbstractA hexagonal outlined porous cladding with vacant core photonic crystal fibre (HOPC‐VC‐PCF) sensor using Zeonex has been presented, which can detect cyanides at the THz regime. Cyanides are incredibly lethal chemicals to humans as they can rapidly cause impairment or even death; such harmful substances must be identified precisely. The proposed model has been analysed at a broad spectrum of THz regimes for three different analytes, and the numerical investigation is performed using the Finite element method (FEM). Simulation results exhibit that at optimum design parameters, extremely high sensitivity of 99.75%, negligible confinement loss of 0.5 × 10−13 cm−1, extremely low and flat dispersion of 0.12 ps THz/cm, and other excellent features were obtained. The performance analysis and the design methodology have been depicted in detail. Due to the simplistic design, fabrication of the model is easily achievable by current technology. The remarkable sensing capabilities will not only make it suited in chemicals analysis but also will play vital roles in other applications as well.
Reversible quantum communication & systems
Authors: Sengupta Diganta , Abd El‐Latif Ahmed , De Debashis , Navi Keivan , Bagherzadeh Nader 
Published: March 2022

AbstractQuantum Computing has emerged as one of the important dimensions of global research lately, on both the prospects, hardware as well as algorithms. With enhanced processing powers, several architectures based on adiabatic concepts resulting in reversibility have been proposed to date. Architectures based on Quantum Dot Cellular Automata have also shown considerable promise for realising the concept of reversibility. Recently, research has been focussed on the application of quantum computing for faster and secure communication. Dedicated machine learning algorithms and neural networks for quantum computation have also attracted considerable research. With a plethora of research and advances in this domain, this Special Issue publishes outstanding contributions for dissemination of the knowledge of Reversible Quantum Communication & Systems. This Special Issue publishes latest approaches and findings in Quantum Algorithms and Reversible Computing with focus on emerging Machine Learning approaches in Quantum Communications. Reversible Logic forms a pivotal part of Quantum Computing and has been a topic of high interest among Quantum Computing Scientists and researchers throughout the last decade. It also exhibits considerable prospects in recent research due to its adiabatic characteristics. Logic synthesis and optimisation algorithms within the purview of Reversibility have witnessed credible approaches and pose future prospects, such as the rise of Machine Learning approaches which have also penetrated the Quantum Domain.
An enhanced flower pollinated algorithm with a modified fluctuation rate for global optimisation and load frequency control system
Authors: Oladipo Stephen , Sun Yanxia , Wang Zenghui 
Published: March 2022

AbstractThis paper proposes a new hybridised approach comprising the flower pollination algorithm and pathfinder algorithm (FPAPFA), in order to address optimisation problems and for load frequency control system. Although the FPA is a popular algorithm that has been widely used in diverse applications, its implementation is met with the tendency to be trapped in local optimal due to an imbalance between the exploration and exploitation process. Consequently, the FPA's exploration functionality can be enhanced by using the PFA features to shift certain pollens to moderately enhanced locations rather than leading them to random positions. Furthermore, a modified fluctuation rate is incorporated into the PFA to reinforce the exploitative competence of the FPAPFA. Compared to other popular techniques, the proposed algorithm's performance was evaluated against 23 standard mathematical optimisation functions and statistically tested using the Wilcoxon rank‐sum and Friedman rank tests. Moreover, the FPAPFA is applied to regulate two unequal multi‐area interconnected power systems with different generating units (thermal, hydro, diesel, and wind power plants) while also integrating redox flow batteries (RFBs) and interline power flow controller (IPFC). Simulation results show that the proposed FPAPFA delivered better results than other algorithms with improved convergence speed, stability, and robustness.
Adipositas-Chirurgie: Welche Besonderheiten ergeben sich für die Ernährungstherapie?
Authors: Raab Heike 
Published: March 2022

ZusammenfassungNach Ausschöpfen aller Maßnahmen zur Änderung der Ernährung und des Lebensstils bleibt vielen Menschen mit Adipositas letztlich nur ein bariatrischer Eingriff für eine deutliche und langfristige Gewichtsreduktion. Zur Adipositas-Chirurgie gehört eine lebenslange Nachsorge in einem interdisziplinären Setting. Dies erfordert von den Betroffenen die Adhärenz an ernährungstherapeutische Empfehlungen und eine angemessene Supplementation von Mikronährstoffen.
Analgosedierung bei Beatmung
Authors: Hardel Tim Tristan , Braune Stephan , Boenisch Olaf , Kluge Stefan 
Published: March 2022

Was ist neu?
Monitoring von Analgesie, Sedierung und Delir Voraussetzung für das Monitoring einer zielorientierten Analgosedierung und das Screening auf die Präsenz eines Delirs sind der Einsatz validierter Messinstrumente wie die Richmond-Agitation-and-Sedation-Scale sowie ein adäquater ärztlicher und intensivpflegerischer Betreuungsschlüssel.
Durchführung der Analgesie und Sedierung Ziel ist nach Möglichkeit ein wacher, orientierter, kooperativer Patient, der frei von Schmerzen ist. Hierbei kommt der multimodalen analgosedierenden Behandlung eine große Bedeutung zu. Auch bei COVID-19-Patienten sollte eine geringstmögliche Sedierung angestrebt werden, wobei bei invasiv beatmeten COVID-19-Patienten in Bauchlage eine tiefe Sedierung empfohlen wird.
Das plantare amelanotische Melanom: Ein Wolf im Schafspelz
Authors: Bertlich Ines , Enk Alexander , Toberer Ferdinand 
Published: March 2022

Zusammenfassung
Hintergrund, Anamnese und Untersuchungen Das Amelanotische Melanom (AM) ist ein Subtyp des Melanoms, bei dem die Melanozyten wenig oder keine Melaninsynthese betreiben. Da es klinisch nicht die typische, dunkle Pigmentierung des Melanoms zeigt, wird es oftmals als gutartiger Hauttumor oder entzündliche Dermatose verkannt und daher zu spät oder fehlerhaft behandelt. Diese Übersicht aus 4 Fällen dient der Veranschaulichung der Warnzeichen von plantaren AM (PAM), die jedem klinisch tätigen Mediziner bekannt sein sollten.
Therapie und Verlauf Wir präsentieren eine Fallserie aus 4 Patienten mit PAM und beschreiben detailliert die Bandbreite des klinischen Erscheinungsbildes sowie den Krankheitsverlauf.
Folgerung PAM können verschiedene klinische Ausprägungen annehmen und insbesondere ältere Patienten mit multiplen Nebenerkrankungen sind gefährdet für eine Fehldiagnose. Wir empfehlen daher generell eine diagnostische Biopsie bei jeder plantaren Ulzeration, wenn diese nach 6 Wochen kein Therapieansprechen zeigt.
Factors Associated with Choosing the Kerala Model of Palliative Care versus Standard Care among Indian Cancer Patients
Authors: George Prema N. , Ganesh M.P. , Chawak Shweta , Chittem Mahati 
Published: March 2022

AbstractPatients who opt for the Kerala Model of Palliative Care (KMPC) report favorable psychological outcomes. Still, not all patients in Kerala prefer this treatment's approach. Hence, this study is aimed to examine the demographical, medical, pain, and psychological factors associated with cancer patients who choose the KMPC versus standard care (SC). Using a cross-sectional design and purposive sampling, 87 patients (SC = 40; KMPC = 47) residing in Kerala, India, responded to questionnaires on pain, anxiety, and depression, and quality of life (QoL). Data analysis was conducted using chi-squared and independent sample t-tests. Findings revealed that KMPC (vs. SC) patients had lower levels of education, were self-employed or homemakers, belonged to a middle or low socioeconomic status, received government aid or were financially self-supported, and were diagnosed for less than 1 year or less than 5 years. KMPC patients reported higher levels of pain, lower levels of anxiety and depression, better overall total QoL, physical health, social health, functionality capacity, and emotional health. These findings suggest the need for community awareness programs regarding the benefits of opting for the KMPC. Patients who chose KMPC reported higher levels of pain than SC patients, highlighting the need for the KMPC to improve its approach to pain management.
The impact of digital technology on changing consumer behaviours with special reference to the home furnishing sector in Singapore
Authors: Rangaswamy Easwaramoorthy , Nawaz Nishad , Changzhuang Zhou 
Published: March 2022

AbstractThe impact of digital technology has altered consumers’ choices for decades, which has fostered large amounts of eCommerce, including in the home furnishing business. Furthermore, due to the Coronavirus disease (COVID-19) pandemic, consumer behaviours have changed, with consumer satisfaction influencing purchasing initiatives and decision-making online. There is insufficient research on online purchasing behaviours in the home furnishing sector in the context of Singapore. The advent of digitisation and the emergence of marketing through digital platforms compared to offline marketing have changed purchasing behaviours regarding home furnishing in Singapore. Research designs and methods, including realism philosophies, deductive approaches, a quantitative research method, a cross-sectional analysis in a descriptive research design and a questionnaire research instrument, were applied to the current study. The findings show a critical trend: consumers prefer an omnichannel approach when purchasing furniture, thereby enhancing competitive costs and personalisation designs and services. Consumers expect advantages both online and offline to maximise the benefits of their purchasing.
Emergent magnetic properties of biphase iron oxide nanorods
Authors: Attanayake S. B. , Chanda A. , Das R. , Phan M. H. , Srikanth H. 
Published: March 2022

We report on the magnetic properties of biphase iron oxide nanorods (NRs) consisting of ferrimagnetic Fe3O4 and antiferromagnetic α-Fe2O3 phases. Annealing as-prepared NRs at 250 °C for 5h, significantly improved the crystallinity of the Fe3O4 phase and enhanced the volume fraction of the α-Fe2O3 phase. Magnetometry data consistently reveal these two magnetically distinct phases, which are not in proximity to each other but separated by a region of disordered spins giving rise to enhanced magnetization at low temperatures when the sample was cooled down from 300 K in the presence of a 1T field to 10 K. This phenomenon which is also known as the pinning effect is much more pronounced in the annealed sample, resulting from the increased volume fraction of the α-Fe2O3 phase which could strengthen the interfacial spin frustration between these two phases and enhance the density of disordered spins at the interface.
Electrical detection of ferromagnetic resonance in bulk YIG sample covered with a layer of silver paint
Authors: Lee Yong Heng , Mahendiran R. 
Published: March 2022

We studied the electrical impedance of a bulk polycrystalline YIG sample at room temperature as a function of varying dc magnetic field (H) and frequency of the microwave (MW) signal (f = 0.9 GHz to 3 GHz) using a single port impedance analyzer. As the YIG sample is an insulator, silver paint was coated on the top surface and the two ends of the sample to allow the MW current to flow between the signal line and ground plane. While H is swept from -5.2 kOe to +5.2 kOe, a sharp peak in resistance and a dip in reactance appear at a specific value of field H = ±Hr. The amplitude of the peak in resistance and the value of Hr increase with frequency of the MW signal. The positive magnetoresistance at the peak is 2300% for 3 GHz. Similar but sharp features were also detected in YIG thin films coated with Ag-paint. We attribute these features in magnetoimpedance to Oersted field-induced ferromagnetic resonance in the underneath YIG sample.
Intermittent treatment of BRAF
V600E
melanoma cells delays resistance by adaptive resensitization to drug rechallenge
Authors: Kavran Andrew J. , Stuart Scott A. , Hayashi Kristyn R. , Basken Joel M. , Brandhuber Barbara J. , Ahn Natalie G. 
Published: March 2022

Significance
Preclinical studies of metastatic melanoma treated with targeted therapeutics have suggested that alternating periods of treatment and withdrawal might delay the onset of resistance. This has been attributed to drug addiction, where cells lose fitness upon drug removal due to the resulting hyperactivation of mitogen-activated protein (MAP) kinase signaling. This study presents evidence that the intermittent treatment response can also be explained by the resensitization of cells following drug removal and enhanced cell loss upon drug rechallenge. Resensitization is accompanied by adaptive transcriptomic switching and occurs despite the sustained expression of resistance genes throughout the intermittent treatment.
AhR promotes phosphorylation of ARNT isoform 1 in human T cell malignancies as a switch for optimal AhR activity
Authors: Bourner Luke A. , Muro Israel , Cooper Amy M. , Choudhury Barun K. , Bailey Aaron O. , Russell William K. , Khanipov Kamil , Golovko George , Wright Casey W. 
Published: March 2022

Significance
Nontoxic agonists and antagonists of the aryl hydrocarbon receptor (AhR) hold high therapeutic potential for treating autoimmune disease and cancer. However, AhR activation by different ligands can lead to opposing phenotypical outcomes in a cell- and tissue-specific manner. In this study, we demonstrate that proportional flux in the levels of aryl hydrocarbon receptor nuclear translocator (ARNT) isoforms 1 and 3 modulates AhR signaling in terms of amplitude and expression of distinct gene programs. These results delineate a molecular mechanism of ARNT isoform–mediated AhR regulation, simplify our understanding of a complex AhR signaling pathway, and provide feasibility for ARNT-targeted therapies that could be used in conjunction with nontoxic AhR ligands for the purpose of immunomodulation.