bluuebunny/crossref_metadata_2025_split huggingface dataset:
Image‐based real‐timefeedback control of magnetic digital microfluidics by artificialintelligence‐empoweredrapid object detector for automated in vitro diagnostics
Authors: Tang Yuxuan , Duan Fei , Zhou Aiwu , Kanitthamniyom Pojchanun , Luo Shaobo , Hu Xuyang , Jiang Xudong , Vasoo Shawn , Zhang Xiaosheng , Zhang Yi 
Published: October 2022

AbstractIn vitro diagnostics (IVD) plays a critical role in healthcare and public health management. Magnetic digital microfluidics (MDM) perform IVD assays by manipulating droplets on an open substrate with magnetic particles. Automated IVD based on MDM could reduce the risk of accidental exposure to contagious pathogens among healthcare workers. However, it remains challenging to create a fully automated IVD platform based on the MDM technology because of a lack of effective feedback control system to ensure the successful execution of various droplet operations required for IVD. In this work, an artificial intelligence (AI)‐empowered MDM platform with image‐based real‐time feedback control is presented. The AI is trained to recognize droplets and magnetic particles, measure their size, and determine their location and relationship in real time; it shows the ability to rectify failed droplet operations based on the feedback information, a function that is unattainable by conventional MDM platforms, thereby ensuring that the entire IVD process is not interrupted due to the failure of liquid handling. We demonstrate fundamental droplet operations, which include droplet transport, particle extraction, droplet merging and droplet mixing, on the MDM platform and show how the AI rectify failed droplet operations by acting upon the feedback information. Protein quantification and antibiotic resistance detection are performed on this AI‐empowered MDM platform, and the results obtained agree well with the benchmarks. We envision that this AI‐based feedback approach will be widely adopted not only by MDM but also by other types of digital microfluidic platforms to offer precise and error‐free droplet operations for a wide range of automated IVD applications.
Prostate cancer‐related anxiety among long‐term survivors after radical prostatectomy: A longitudinal study
Authors: Meissner Valentin H. , Peter Cornelia , Ankerst Donna P. , Schiele Stefan , Gschwend Jürgen E. , Herkommer Kathleen , Dinkel Andreas 
Published: October 2022

AbstractBackgroundProstate cancer (PC)‐related anxiety is associated with clinically significant declines in health‐related quality of life (HRQoL) and psychological well‐being. This longitudinal study investigates course and predictors of PC‐related anxiety in long‐term PC survivors treated by radical prostatectomy (RP).MethodsTwo thousand nine hundred and three survivors from the multicenter German Familial PC Database completed the Memorial Anxiety Scale for PC on average 11 years after RP at the initial assessment in 2015 and then 5 years later. Hierarchical multiple linear regression was used to assess predictors of PC‐related anxiety at follow‐up.ResultsPC‐related anxiety remained stable over the 5 years. In hierarchical multiple linear regression, longitudinal predictors of PC‐related anxiety 5 years later included a lower level of education (beta: −0.035, p = 0.019), biochemical recurrence (BCR; beta: 0.054, p = 0.002), late BCR (beta: 0.054, p < 0.001), PC anxiety at initial assessment (beta: 0.556, p < 0.001), HRQoL (beta: −0.076, p < 0.001), depression and anxiety symptoms (beta: 0.072, p = 0.001; beta: 0.165, p < 0.001). Predictors of prostate‐specific antigen (PSA) anxiety 5 years later included late BCR (beta: 0.044, p = 0.019), PSA anxiety at initial assessment (beta: 0.339, p < 0.001), depression and anxiety symptoms (beta: 0.074, p = 0.008; beta: 0.191, p < 0.001), and treatment decision regret (beta: 0.052, p = 0.006).ConclusionPC‐related anxiety remains a burden to survivors many years after diagnosis and treatment. The respective disease‐specific anxiety was the strongest predictor of this anxiety 5 years later, which emphasizes the need of screening and monitoring in a timely manner for PC‐related anxiety. Treating urologists should screen, identify, and monitor patients at risk for targeted referrals to psychosocial services.
Efficacy and safety of hepatic arterial infusion chemotherapy combined with lenvatinib and sequential ablation in the treatment of advanced hepatocellular carcinoma
Authors: Liu Yulong , Qiao Yansong , Zhou Miaoli , Guo Jiandong , Lin Yinsheng , Li Wanghai , An Chao , Li Chengzhi 
Published: October 2022

AbstractPurposeEvaluate the efficacy and safety of triple therapeutic method (Hepatic Aarterial Infusion Chemotherapy—HAIC, lenvatinib and sequential ablation) in the treatment for Advanced Hepatocellular carcinoma (Ad‐HCC).Materials and MethodsFrom November 2018 to June 2021, data from 150 consecutive Ad‐HCC patients were collected. All patients received HAIC combined with lenvatinib (H‐L group, n = 97) or HAIC combined with lenvatinib and sequential ablation (H‐L‐A group, n = 53). Complications, overall survival (OS), progression‐free survival (PFS) and intrahepatic progression‐free survival (IPFS) were compared between both groups.ResultsNo significant differences of baseline characteristics were found between groups. The time of median follow‐up was 17.8 months (range, 6.8, 37.6 months). In comparison to the H‐L group, the H‐L‐A group patients showed significantly longer median OS (>30 months vs 13.6 months, respectively; p = 0.010), PFS (12.8 vs. 5.6 months, respectively; p < 0.001), and IPFS (14.6 vs. 6.8 months, respectively; p = 0.002). According to the results from uni‐ and multivariable analyses, we considered α‐fetoprotein and treatment modality as two survival independent prognostic factors. No significant change of the complication incidences was observed between H‐L group and H‐L‐A group (12.4% vs. 11.3%, p = 0.890).ConclusionCompared to HAIC combined with lenvatinib only, HAIC combined with lenvatinib and sequential ablation was safer and more effective, improving survival outcomes of Ad‐HCC patients. A prospective study will be designed validate the retrospective results.
The importance of bone marrow infiltration patterns in multiple myeloma seen on magnetic resonance imaging—Case report and imaging perspective
Authors: Costachescu Dan , Ionita Hortensia 
Published: October 2022

AbstractNon‐secretory multiple myeloma (NSMM) is an extremely rare variant of multiple myeloma (MM) and accounts for a maximum of 5% of all myeloma cases. This variant of MM usually represents a diagnostic challenge to the clinician because of the absence of detectable monoclonal immunoglobulin on serum or urine electrophoresis. We present the case of a 34‐year‐old Caucasian male who presented to the emergency department with pain in the lumbar area secondary to a fall and who was eventually diagnosed with non‐secretory multiple myeloma after the radiologist initially pointed out a discrete “salt and pepper” infiltration of the spine seen on magnetic resonance imaging (MRI) although the spine computed tomography (CT) performed initially showed no suspicious lesions for malignancy. The final diagnosis was obtained after a positive bone marrow biopsy together with the presence of malignant lesions seen on the spine MRI. This case points out the importance of different bone marrow involvement patterns seen on MRI and other useful sequences the radiologist could use to better discriminate between normal marrow reconversion and malignant infiltration.
Bifocal contact dermatitis following a temporary tattoo
Authors: Tounouga Dahlia Noëlle , Nansseu Jobert Richie , Kouotou Emmanuel Armand 
Published: October 2022

AbstractAllergic contact dermatitis from henna tattoos is often caused by PPD. This was a 35‐year‐old female patient with eczema lesions of the left forearm that occurred after henna's tattoo. The inner side of the left thigh, although not tattooed, was the site of eczema lesions, reproducing the design of the tattoo.
Garcin syndrome in a case of acquired immunodeficiency syndrome
Authors: Darazam Ilad Alavi , Rabiei Mohammad Mahdi , Bahrami‐Motlagh Hooman , Moradi Omid , Gharehbagh Farid Javandoust , Zerehpoosh Farahnaz Bidari , Hatami Firouze , Dilmaghani Nader Akbari , Shojaei Maziar , Lotfollahi Legha 
Published: October 2022

AbstractIn this study, we report a parapharyngeal diffuse large B‐cell lymphoma in a human immunodeficiency virus (HIV) infected patient which had caused the patient to suffer from Garcin syndrome.
Choice of diagnostic method for liver‐type glycogen storage disease
Authors: Kakiuchi Toshihiko , Zhang Yumeng 
Published: October 2022

AbstractLiver biopsy is a highly invasive in nature, and measurement of enzyme activity in blood cells and the Fernandez test are less certain for the diagnosis of glycogen storage disease (GSD). Therefore, genetic testing, which can also identify typing, should be prioritized for the diagnosis of GSD.
Forced Periodic Operation of Methanol Synthesis in an Isothermal Gradientless Reactor
Authors: Seidel Carsten , Nikolić Daliborka , Felischak Matthias , Petkovska Menka , Seidel-Morgenstern Andreas , Kienle Achim 
Published: October 2022

AbstractMethanol synthesis from synthesis gas with heterogeneous Cu/ZnO/Al2O3 catalysts in an isothermal gradientless reactor is described. In a theoretical study, the potential of forced periodic operation (FPO) for improving reactor performance in terms of methanol production rate and methanol yield is explored. The approach is based on a detailed kinetic model and combines nonlinear frequency response (NFR) analysis with rigorous numerical multi‐objective optimization. Optimal steady‐state operation is compared with optimal forced periodic operation for a given benchmark problem with and without inert nitrogen in the feed. Further, the significant influence of the saturation capacity of the solid phase on the dynamic behavior in response to step changes and periodic input modulations is studied.
Energy Savings through Adaptive Upstream Throttling and Supply Shut‐Off on Downstream Throttled Drives
Authors: Jimenez Christian Reese , Reinertz Olivier , Schmitz Katharina 
Published: October 2022

AbstractIn pneumatic automation, downstream throttled pneumatic drives are widely used to perform motion tasks because of their low cost, robustness, and high power density. However, this drive technology is generally regarded as having a large energy saving potential. Hence, multiple researchers have proposed control strategies aiming to improve the efficiency of systems using pneumatic drives. However, most of those developments increase the system complexity and commissioning efforts, which hinders a broad application. This paper presents alternatively a simple to implement energy‐saving measure, which relies on a novel energy‐saving speed controller. Furthermore, a design method for the controller is proposed and subsequently analyzed using a lumped parameter model.
Porous Sodium Alginate/Boehmite Coating Layer Constructed on PP Nonwoven Substrate as a Battery Separator through Polydopamine‐Induced Water‐Based Coating Method
Authors: Wang Cheng , Zhu Guobin , Hu Yuqin , Xu Jing , Wang Luoxin , Wang Hua , Cheng Chunzu 
Published: October 2022

AbstractCeramic‐coating separator produced by aqueous slurry has drawn considerable attention because of its environmental friendliness in the development of high‐power lithium ion battery (LIB). However, there are some drawbacks existed including the formation of compact coating layer and uneven distribution of slurry. In this study, porous sodium alginate/boehmite coating layer was designed to cover on low‐cost PP nonwoven to give a battery separator (abbreviated as PCS) through polydopamine‐ induced water‐based coating method, in which nonsolvent N‐methyl pyrrolidone (NMP) was added to render porous structures through its final evaporation and the pretreatment of polydopamine on substrate could help slurry dispersed uniformly. Thoroughly investigations demonstrate this designed separator can not only endow battery with superior cell performance but also display good thermal dimensional stability and self‐extinguishing behavior. Therefore, PCS composite separator is low‐cost, environmentally friendly and feasible to meet performance requirements of high‐power LIB.
New Eurocode 4 design rules for shallow floor construction
Authors: Hicks Stephen J. , Braun Matthias , Markovic Zlatko , Way James 
Published: October 2022

AbstractAs members of Project Team SC4.T5, the authors of this paper present the main outcomes from the work that are intended for implementation within EN 1994‐1‐1 (Eurocode 4). General design and application rules for shallow floor beams will be presented, with a particular focus on: the classification of the composite cross‐section; non‐linear bending resistance; and the introduction of transverse bars as shear connectors.
Intelligent Steel Structures ‐ Model Updating Concepts for Innovative Design Strategies
Authors: Kraus Matthias , Chowdhury Sharmistha , Wudtke Idna 
Published: October 2022

AbstractStructural systems are in general quite sophisticated in terms of interactions between individual members with respect to their stressing and resistance. In addition, the stochastic nature of different loads and resistances, respectively, is quite different. A consistent statistical representation of the random variables for a structural component/member is therefore quite complex. In this context, the implementation of intelligent structures and the incorporation of the measuring data can help to improve the prediction of random variables for a certain member and therefore to update models in the design process. Depending on the obtained measurement data, the updating can either refer to the statistical representation quality of different values, but also to the quantity of random variables or even to the update of the mechanical model and its boundary conditions. For that reason, a classification of updating possibilities in the context of the design process described by different hierarchical levels is useful. The aim of this article is to give an overview and insight on corresponding concepts of sensor‐based design strategies for steel structures. In addition, first research results regarding the effect of measurement‐based updating on the quality improvement of the design process are presented.
Dynamic FERNet: Deep learning with optimal feature selection for face expression recognition in video
Authors: Jagadeesh M. , Baranidharan B. 
Published: October 2022

SummaryThis work concentrates on the recognition of facial emotion from video sequences with deep learning. Once the input video is converted into frames, the face detection is performed on each frame using the viola–jones face detection algorithm. Then, the feature extraction is performed by three well‐performing feature extraction techniques like modified local directional pattern, spatio‐temporal features, and scale‐invariant feature transforms. The extracted features from all the frames of the video are concatenated. To reduce the feature‐length for decreasing the training complexity, and enhance the recognition performance, the optimal feature selection is accomplished with the distance‐based tunicate swarm algorithm. These selected features are processed to an innovative deep learning model termed a heuristically modified recurrent neural network. The same D‐TSA improves the performance of RNN by optimally tuning its hidden neurons. Experimental results on a widely used benchmark dataset and manually collected dataset show that the classification performance is improved using spatio‐temporal features, SIFT, M‐LDP, and optimal feature selection, and thus, the proposed model with HM‐RNN outperforms the other existing models.
A new family of high gain boost DC‐DC converters with reduced switch voltage stress for renewable energy sources
Authors: Shaw Priyabrata , Siddique Marif Daula , Mekhilef Saad , Iqbal Atif 
Published: October 2022

AbstractIn this paper, a new family of non‐isolated boost dc‐dc converters with high voltage gains is proposed. The proposed boost topologies exhibit very high voltage gains at moderate duty cycles and lower switch voltage/current stresses with reduced component counts. Here, a total of four new non‐isolated boost topologies are proposed using four‐terminal PWM high‐gain switch cells with an inductor‐switch network. Among these four topologies, two converters have identical voltage gain with opposite load voltage polarities and likewise other two exhibit similar nature (i.e., equal but opposite load voltage) but have higher gain than the former topologies. The detailed operating principle, steady‐state analysis, and design methodology are presented for the proposed positive output very high‐gain converter, which can be easily extended to the rest of the topologies. An exhaustive comparison study has been presented for the proposed topologies with the existing step‐up converters to highlight their advantages. Finally, the mathematical analysis, analytical studies, and high boosting feature of the proposed positive output high‐gain boost converter are verified using a 250 W, 50 kHz prototype. The experimental results are presented for different duty cycles with fixed input voltage to verify the efficacy of the proposed structures in terms of higher boosting capability.
MPC‐based DC microgrid integrated series active power filter for voltage quality improvement in distribution system
Authors: Majji Ravi Kumar , Mishra Jyoti Prakash , Dongre Ashish A. 
Published: October 2022

SummaryThis paper presents a DC microgrid integrated series active power filter (Se‐APF) to improve the voltage profile of the utility distribution system under sag, swell, and harmonics scenario. The DC microgrid encompasses a solar photovoltaic generation unit and a composite energy storage unit (CESU). A lithium‐ion battery and supercapacitor as a CESU are envisioned in this work. Compared to conventional Se‐APF supported by the capacitor/battery storage, the integrated DC microgrid prolonged the operational features of the Se‐APF for voltage quality improvement and feeding the localized dc loads or charging the CESU occasionally from the PV generation system. Further, a power management algorithm is implemented to coordinate the operations of the sources in the DC microgrid to accomplish the above‐mentioned features. The Se‐APF and associated power converters in the DC microgrid are regulated by a nonlinear controller based on optimal switching vector‐model predictive control algorithm. The proposed control method can be used to help distribution networks with voltage fluctuations by offering much faster and more precise voltage regulation. The feasibility and effectiveness of the proposed control strategy are verified in MATLAB/Simulink platform and then validated in a real‐time simulation platform using Opal‐RT Lab real‐time simulator OP4510.
Experimental study of the discharge characteristics of a 3D vortex gliding arc plasmatron
Authors: You Tiancheng , Wang Cheng , Yang Chengpeng , Wang Fangquan , Xia Weidong 
Published: October 2022

AbstractThe three‐dimensional (3D) vortex gliding arc plasmatron (GAP) is a promising gliding arc source due to its high reactant conversion rate and high energy efficiency, but there are few studies of its discharge characteristics. In this work, a 3D GAP device with a quartz window on the inner electrode is designed and studied. By means of high‐speed photography, high‐resolution current/voltage signal acquisition, and emission spectra, the effects of arc current, gas flow rate, electrode diameter, and electrode polarity on the discharge characteristics of this GAP are investigated. Results show that the volt‐ampere characteristic of GAP can be accurately predicted by similarity theory, and that the voltage for reverse‐polarity is significantly greater than that for normal‐polarity. Arc dynamics show that the arc at the inner electrode has the feature of high‐speed rotation, while the arc at the outer electrode has an extended current channel along with a large‐scale re‐strike process. The rotation speed and current channel length are closely related to electrode polarity, which can be ascribed to the movability of the cathode arc root. Emission spectra confirm that the plasma produced by GAP has typical non‐equilibrium properties, in which the rotational temperature ranges from 2,400 to 3,000 K and the vibrational temperature from 4,700 to 6,000 K. Moreover, abundant active free radicals, including NO, , O, and N, are detected in the plasma region. This investigation provides a better understanding of the discharge characteristics of 3D GAP, and will help to guide its further design and application.
K‐submodular function‐based service‐limit incentive mechanisms for crowd heterogeneous sensing
Authors: Sun Jiajun , Sun Shuning , Li Meng , Liu Shuyan 
Published: October 2022

SummaryRecently, crowd sensing, as a new paradigm, uses mobile devices from users to efficiently fulfill allocated tasks, enabling many novel applications such as location sensing and air pollution monitoring. To achieve high‐quality service, extensive user participation is crucial. Most of existing works only apply for the homogeneous task scene where the requester has a budget limit and types of sensors used are homogeneous. On the contrary, we investigate a different scenario where the platform has a service limit and types of sensors are heterogeneous. Specially, we design the two service‐limit incentive mechanisms, called SCH and SWH, respectively, by minimizing the total cost for a more general case where the value function is monotone
‐submodular for participatory users so that given services can be fulfilled. The two mechanisms make it possible to extend current small‐scale crowd sensing to large‐scale crowd sensing, which have the following properties: individual rationality, task feasibility, computational efficiency, truthfulness, and constant frugality. Finally, we use extensive simulations to validate theoretical properties of our mechanisms.
Predicting the distribution of plant associations under climate change: A case study on Larix gmelinii in China
Authors: Chen Chen , Zhang Xi‐juan , Wan Ji‐zhong , Gao Fei‐fei , Yuan Shu‐sheng , Sun Tian‐tian , Ni Zhen‐dong , Yu Jing‐hua 
Published: October 2022

AbstractAssociation is the basic unit of plant community classification. Exploring the distribution of plant associations can help improve our understanding of biodiversity conservation. Different associations depend on different habitats and studying the association level is important for ecological restoration, regional ecological protection, regulating the ecological balance, and maintaining biodiversity. However, previous studies have only focused on suitable distribution areas for species and not on the distribution of plant associations. Larix gmelinii is a sensitive and abundant species that occurs along the southern margin of the Eurasian boreal forests, and its distribution is closely related to permafrost. In this study, 420 original plots of L. gmelinii forests were investigated. We used a Maxent model and the ArcGIS software to project the potential geographical distribution of L. gmelinii associations in the future (by 2050 and 2070) according to the climate scenarios RCP 2.6, RCP 4.5, and RCP 8.5. We used the multi‐classification logistic regression analysis method to obtain the response of the suitable area change for the L. gmelinii alliance and associations to climate change under different climate scenarios. Results revealed that temperature is the most crucial factor affecting the distribution of L. gmelinii forests and most of its associations under different climate scenarios. Suitable areas for each association type are shrinking by varying degrees, especially due to habitat loss at high altitudes in special terrains. Different L. gmelinii associations should have different management measures based on the site conditions, composition structure, growth, development, and renewal succession trends. Subsequent research should consider data on biological factors to obtain more accurate prediction results.