bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heterogeneous Hydrogenation of Quinoline Derivatives Effected by a Granular Cobalt Catalyst
Authors: Topf Christoph , Timelthaler Daniel 
Published: September 2021

AbstractWe communicate a convenient method for the pressure hydrogenation of quinolines in aqueous solution by using a particulate cobalt-based catalyst that is prepared in situ from simple Co(OAc)2·4H2O through reduction with abundant zinc powder. This catalytic protocol permits a brisk and atom-efficient access to a variety of 1,2,3,4-tetra­hydroquinolines thereby relying solely on easy-to-handle reagents that are all readily obtained from commercial sources. Both the reaction setup assembly and the autoclave charging procedure are conducted on the bench outside an inert-gas-operated containment system, thus rendering the overall synthesis time-saving and operationally very simple.
Periodontal Epidemiology
Authors: Bangalore Balaram Santosh , Galgali Sushma Ravindra , Rajendra Santosh Arvind Babu 
Published: September 2021

AbstractThe increased requirement on the information about nature, etiology, and pathogenesis of periodontal disease has demanded wide areas of research in periodontics. The growth observed in research conducted in periodontology had been observed in both basic and clinical research areas. Despite recent advances in periodontal research, many issues remain unresolved. The aim of this review article is focused on few important problems faced in periodontal research related to epidemiology, etiology, and pathogenesis of periodontal disease.
Motion Sensors in Automatic Steering of Hearing Aids
Authors: Branda Eric , Wurzbacher Tobias 
Published: September 2021

AbstractA requirement for modern hearing aids is to evaluate a listening environment for the user and automatically apply appropriate gain and feature settings for optimal hearing in that listening environment. This has been predominantly achieved by the hearing aids' acoustic sensors, which measure acoustic characteristics such as the amplitude and modulation of the incoming sound sources. However, acoustic information alone is not always sufficient for providing a clear indication of the soundscape and user's listening needs. User activity such as being stationary or being in motion can drastically change these listening needs. Recently, hearing aids have begun utilizing integrated motion sensors to provide further information to the hearing aid's decision-making process when determining the listening environment. Specifically, accelerometer technology has proven to be an appropriate solution for motion sensor integration in hearing aids. Recent investigations have shown benefits with integrated motion sensors for both laboratory and real-world ecological momentary assessment measurements. The combination of acoustic and motion sensors provides the hearing aids with data to better optimize the hearing aid features in anticipation of the hearing aid user's listening needs.
Children with Feeding Difficulties Present Changes in the Development of Feeding Skills: A Study with a Control Group
Authors: Ramos Cláudia de Cássia , Maximino Priscila , Machado Rachel Helena Vieira , Nogueira Luana Romão , Ricci Raquel , Leme Ana Carolina Barco , Fisberg Mauro 
Published: September 2021

Abstract
Introduction Feeding skills (FS) are important to child development, as the delay in their presence could suggest feeding difficulties (FD) symptoms. The aim of the present study was to compare the development of three types of FS (autonomy to eat, posture at meals, and adequate use of cutleries) among children with FD and without FD.
Methods This was a case-control retrospective observational study. The sample consisted of 316 children from case and control groups in accordance with the presence (or not) of FD. The control group was recruited by convenience (verbal approaching at the emergency care unit), and the case group was based on the medical records collected at the reference center. A same-structured questionnaire was used for both groups.
Results Children with FD (63.2%) used baby-bottles in an inadequate way with a higher frequency after 24 months of age. Inadequate posture at meals was observed with higher frequency in children with FD (78.1%). Children without FD (89.1%) had more autonomy to eat. In children > 18 months old, this frequency was higher (90.6%).
Conclusion Children with FD showed changes on the development of FS. Inadequate posture at meals was associated with a 36-fold higher risk of having FD. Not eating alone after the age of 18 months was associated with a 6-fold higher risk of having FD, while not using baby bottles was associated with a lower risk (52%) of FD complaints. Delays in FS can be predictors of FD during childhood.
Spontaneous Regression and Reoccurrence of Osteosarcoma in a Canine Tibia
Authors: Obringer Olivia , Coolman Bradley , Crawford Jason 
Published: September 2021

AbstractA 32-month-old female Labrador Retriever mix-breed presented for right pelvic limb lameness with firm swelling on the lateral aspect of the stifle. Radiographs revealed a mass with periosteal elevation along the lateral cortex of the proximal tibia. Histology on a core biopsy sample was diagnostic for osteosarcoma. Surgical treatment was declined. Eight months post diagnosis, the patient was re-evaluated by the primary care veterinarian and had no lameness, pain, or tibial swelling. Sixty-three months later (5.2 years), the patient presented for cranial cruciate ligament ruptures. Radiographs revealed a smooth bony protuberance on the lateral aspect of the right proximal tibia in the area of the previous osteosarcoma. The patient underwent bilateral tibial plateau levelling osteotomies. The surgical recovery was uneventful with normal healing. Twenty-seven months following surgery, the patient returned for painful swelling around the right proximolateral tibia. Radiographs revealed an 8 × 9 cm osteoproliferative and osteolytic lesion of the proximal tibia. Osteosarcoma was confirmed via core biopsy. The bone tumour grew rapidly, and the patient was euthanatized 3 months thereafter. This case report demonstrates the unusual occurrence of an osteosarcoma in a young dog which spontaneously regressed. Ninety months (7.5 years) after clinical resolution of the initial tumour, osteosarcoma formed again in the same location. Lifetime patient monitoring with repeated clinical exams, serial radiographs, and multiple biopsies by the same surgeon, pathologists, and radiologist are unique features of this case report.
Approach to the Evaluation and Treatment of Venous Thromboembolism in Pregnancy
Authors: Brenner Benjamin , Grandone Elvira , Makatsariya Alexander , Khizroeva Jamilya , Bitsadze Victoria , Tretyakova Maria 
Published: September 2021

AbstractThrombosis in pregnancy is a major cause of maternal and fetal morbidity and mortality. Risk stratification of venous thromboembolism (VTE) during pregnancy is complex. The hypercoagulability observed in pregnant women can reduce bleeding during childbirth, but may cause thrombosis especially in the presence of additional prothrombotic risk factors such as antiphospholipid antibodies or genetic thrombophilic defects. The availability of large datasets allows for the identification of additional independent risk factors, including assisted reproductive technologies (ARTs), endometriosis, and recurrent pregnancy loss. Data on the risk of VTE linked to COVID-19 in pregnant women are very limited, but suggest that infected pregnant women have an increased risk of VTE. Current guidelines on the prevention and treatment of VTE in pregnancy are based on available, albeit limited, data and mainly present expert opinion. Low-molecular-weight heparins (LMWHs) are the mainstay of anticoagulation to be employed during pregnancy. Administration of LMWH for VTE treatment in pregnancy should be based on the personalized approach, taking into account a weight-based adjusted scheme. During gestation, due to physiological changes, in women at high risk of VTE, monitoring of anti-Xa activity is performed to ensure adequate LMWH dosing. As for the treatment duration for pregnant women with acute VTE, guidelines suggest that anticoagulation should be continued for at least 6 weeks postpartum for a minimum total duration of therapy of 3 months.
Closed-form representation for equivalent electromagnetic parameters of irregular hexagonal honeycomb radar-absorbing materials
Authors: Li Guanya , Chen Haiyan , He Qingting , Zhang Li , Weng Xiaolong , Zhang Linbo , Liang Difei , Xie JianLiang , Deng Longjiang 
Published: September 2021

In this study, a new closed-form expression is developed to determine the equivalent electromagnetic parameters (permittivity and permeability) of biaxial anisotropic honeycomb radar-absorbing materials (RAMs). Based on the equivalent medium theory, the nonmagnetic substrate and absorbing coating of the honeycomb structure are equivalent to one kind of material, and then, the effective electromagnetic properties of irregular hexagonal (compressed or stretched) honeycombs are obtained by using the layered anisotropic model. In order to validate the effectiveness and correctness of this new closed-form expression, experimental tests and numerical simulation are adopted. The results show good agreement among the experimental tests, numerical simulation, and theoretical analysis within the specified frequency range (2–18 GHz), which confirms the validly of the proposed new method. Compared with the previous layered anisotropic model, the modified new model is more accurate for irregular hexagonal honeycomb RAMs. Furthermore, it can predict the effective permittivity (permeability) precisely without experimental measurements or numerical simulation, and it is of great significance for the design of honeycomb RAMs.
Culturing patient-derived malignant hematopoietic stem cells in engineered and fully humanized 3D niches
Authors: García-García Andrés , Klein Thibaut , Born Gordian , Hilpert Morgane , Scherberich Arnaud , Lengerke Claudia , Skoda Radek C. , Bourgine Paul E. , Martin Ivan 
Published: September 2021

Significance
Recapitulating human blood cancers in vitro remains challenging due to the limitations of current models to culture patient-derived malignant hematopoietic stem and progenitor cells in entirely human bone marrow microenvironments. We demonstrate that progenitor cells from patients with acute myeloid leukemia and myeloproliferative neoplasms can be cultured for at least 3 wk in fully human cell-based three-dimensional osteoblastic niches engineered in perfusion bioreactors, while exhibiting key features found in native bone marrow. Furthermore, the system can be customized to include a human vascular component within the engineered stromal microenvironment, which enables investigation of human leukemogenesis under designed settings. This platform can be used to test the effectiveness of chemotherapy compounds, toward application in patient-personalized medicine.
Analytic two-loop master integrals for tW production at hadron colliders: I *
Authors: Chen Long-Bin , Wang Jian 
Published: September 2021

Abstract
We present the analytic calculation of two-loop master integrals that are relevant for tW production at hadron colliders. We focus on the integral families with only one massive propagator. After selecting a canonical basis, the differential equations for the master integrals can be transformed into the d ln form. The boundaries are determined by simple direct integrations or regularity conditions at kinematic points without physical singularities. The analytical results in this work are expressed in terms of multiple polylogarithms, and have been checked via numerical computations.
Design implementation of wireless multimedia sensor networks for dryland agriculture
Authors: Rantelobo K , Lami H F J , Louk A C , Bernandus B , Olviana T 
Published: September 2021

Abstract
This study discusses the application of Wireless Sensor Network (WSN) technology to specific dry land agriculture because it was founded in the Province of East Nusa Tenggara (NTT) and a small part of Maluku. Its uniqueness has become a comparative advantage for the regions, especially for the academics of the University of Nusa Cendana (Undana). In general, the use of WSN in agriculture is still basic, relying on analog and manual sensors to obtain information on land conditions and vegetation in the land. Also generally still using scalar data and not optimizing the use of multimedia data, especially data based on videos and images. The contribution and novelty of this research are: (a) The application of multi-sensor technology with the Wireless Multimedia Sensor Network (WMSN) will optimize various data from land conditions so that it is hoped that more analysis of monitoring data results is expected, precise and efficient; (b) The application of WMSN with Internet-of-Thing (IoT) will be applied to the dry land agriculture. This research produces a design for implementing WMSN technology on dry agricultural land which is expected to increase agricultural yields in the area.
Research on technology of conflict about air route used for mu-ltiple UAVs flying in the sky
Authors: Cui Zhimei , Huang Zhidu , Tang Jie , Feng Bo , Tan Siyuan , Rao Xiajin 
Published: September 2021

Abstract
This electronic document proposes a route conflict detection method which uses time axis mapping. The method can solve the route conflict problem by transforming the original route conflict into x, y, z-axis conflict region and maps the three-axis conflict interval to the time axis to obtain the conflict time period, the final route conflict is determined by solving the intersection of three conflict time periods. In the specific simulation experiment, ADS-B working range reaches 100 (n mile). At this time, 1% of the aircraft have conflicts in the route conflict detection in the obstacle avoidance area specified by ATC, which is basically close to the collision avoidance area specified by ATC and the 100 (n mile) volume ratio of ADS-B working rangA. This experiment further proves the accuracy of the detection method. There is a solution to the problem of route conflict in multi UAV cluster operation.
Research on Stereo Vision Technology Based on Improved Region Growing Method
Authors: Dai Shilong , Xia Xinghua , Zhang Hualiang 
Published: September 2021

Abstract
Image segmentation is the cornerstone of image analysis and image processing, its main difficulty is the ill-posedness of image segmentation. The region growing method is the most commonly used method in image segmentation. Its advantages are fast calculation speed, lower algorithm difficulty, and easy understanding. This article uses the area growing algorithm and TOF combined with binocular fusion technology. Discussed how to select the seed points in the region growing method. The algorithm proposed in this paper has high accuracy and high matching quality in the boundary area of the object and the area with large difference in depth. It has both matching time and reliability. It has good results and overcomes the limitations of the active and passive distance methods in the vision system.
A Comprehensive Analysis of DDoS attacks based on DNS
Authors: Fang Lei , Wu Hongbin , Qian Kexiang , Wang Wenhui , Han Longxi 
Published: September 2021

Abstract
Domain Name System (DNS) is a basic and important services on the Internet. However, Distributed Denial of Service (DDoS) has been a threat to the security and stability of DNS for a long time. In this paper, we take a review of DDoS attacks based on DNS aiming to make a better understanding of it. Firstly, we analyse the security vulnerabilities of DNS related to denial-of-service attack. Then we discuss the classification of DNS DDoS attacks, and divide them into four categories according to the attack mode. Finally, we summarize the existing defense methods of two aspects. We aim to get a better understanding of the DDoS attacks based on DNS and expand the understanding of DDoS attacks.
Research on Target Tracking Algorithm Based on Correlation Filtering
Authors: Guo Xifeng , Hamdulla Askar , Tohti Turdi 
Published: September 2021

Abstract
Target tracking has always been an important research direction in the field of computer vision. The target tracking method based on correlation filtering has become a research hotspot in the field of target tracking due to its efficiency and robustness. In recent years, a series of new progress has been made in this field, and it has been widely used in automatic driving,video surveillance, human-computer interaction, national defense security and other fields. Mainly summarize the research status in this field. First of all, the main components and research difficulties of current target tracking are introduced. Secondly, the algorithm of target tracking based on correlation filtering is introduced, and the development of the classical algorithm model and its existing problems are analyzed in detail. Finally, some views on the future research direction and development trend of related filtering algorithms are given.
Three-dimensional Hydrodynamic Analysis of Yushan Petrochemical Reclamation
Authors: Gao Yu , Shen Liang Duo , Ding Yi Chun 
Published: September 2021

Abstract
With the help of Mike 3 software, a three-dimensional hydrodynamic mathematical model was built for Daxiaoshan sea area. The model was calibrated and verified by the measured tidal current and tidal level data. The influence of Daxiaoshan reclamation project on the surrounding hydrodynamic conditions was analyzed by the numerical simulation of tidal current. The results show that in the model verification, the tide level only has a little deviation in the neap tide stage, and the velocity error is controlled within 0.4m/s. The influence of reclamation projects is mainly concentrated in the vicinity of reclamation areas and has no influence on the hydrodynamic conditions in a large area of sea. The three-dimensional effect of the positions of the southeast and southwest dikes is obvious, and the vertical velocity distribution of the south dike is the most uneven because of the complex terrain conditions. Using the Mike 3 hydrodynamic module can better simulate the flow field distribution in the engineering area and the surrounding sea area of the project, and can better guide the construction of related projects.
ForestResNet: A Deep Learning Algorithm for Forest Image Classification
Authors: Tang Yongqing , Feng Hao , Chen Junyan , Chen Yuan 
Published: September 2021

Abstract
Due to its large area and rugged terrain, the forest often fails to be detected in time and eventually causes severe losses[1]. Therefore, early detection of forest fires is significant for forest fire protection. The application of deep learning to the classification of smoke and fire in forest images can detect forest conditions more accurately. In this paper, a classification network, named ForestResNet, is proposed to efficiently detect forest conditions, which uses ResNet50[2] as a feature extraction network to achieve rapid and accurate extraction of image feature information. Experimental results show that the proposed network achieves excellent segmentation performance in terms of efficiency and accuracy.
An s-metric selection evolutionary multi-objective optimization algorithm solving u-shaped disassembly line balancing problem
Authors: Bai Wei Shuang , Guo Xi Wang , Peng Fangjie , Qi Liang , Qin Shu jin 
Published: September 2021

Abstract
With the continuous consumption of commodities, the number of waste products is also increasing, and its impact on the environment and resources has also attracted great attention. Therefore, the reuse of waste products is one of the ways to solve the problem of increasing waste products at present. In this work, the cycle time constraint of disassembly components is considered in a multi-product partial U-shaped disassembly-line-balancing problem. Moreover, the maximum profit and the minimum idle time are taken as the optimization objectives, and a mathematical model of multi-objective optimization under the cycle time constraints is established. To optimize this problem, an S-metric selection evolutionary multi-objective optimization algorithm (SMS-EMOA) is proposed. The SMS-EMOA is compared with the multi-objective evolutionary algorithm based on decomposition and the indicator-based evolutionary algorithm. The experimental results show the practicability and feasibility of the SMS-EMOA algorithm.
A super-resolution face enhancement algorithm based on eigen transformation
Authors: Tan Lingli , Tan Shaomin , Chen Feifei 
Published: September 2021

Abstract
A tensor feature transformation and enhancement algorithm are proposed in this paper based on PCA algorithm to address the challenges in face detection from low-resolution images. A 2D-PCA face super-resolution enhancement algorithm of a second-order tensor replaces the traditional 1D-PCA method for feature transformation to improve the accuracy of feature tensor solution and reduce the computational complexity. Furthermore, a coupling PCA method is applied for resolution enhancement of the combination of global information and local information of face image. Experimental results verify the stable and superior performance of the proposed algorithm.
Investigation on Composite Feedstock filament for fusion deposition modelling
Authors: Kishore R , Gokul P.S , Dhinakaran V , Selva Naveen , Karthikeyan Sri Ramana 
Published: September 2021

Abstract
The purpose of this paper is to present the recent developments occurring in the field of fusion deposition modelling generally known as 3D Printing technology. Widely for the prototyping purposes the fusion deposition modelling is done with plastics and mainly two types of plastics are widely used acrylonitrile butadiene styrene or ABS plastics and polylactide or PLA [1]. The ABS plastics are rigid in nature and its non-biodegradable product while the PLA material is less in strength and it’s a biodegradable product. Natural fibers are widely used in reinforcement of thermoplastic components. Where this 3D printing is a process where material extrusion is done using polymers. There is huge lack of understanding the effect of printing parameters only huge research has been undergone to understand the effect of mechanical properties and micro structural analysis of existing printing technology and existing filaments used in FDM process. The recent developments are undergone in composite material manufacturing in filaments major works concentrates on addition of materials with the existing material to get better results by undertaking mechanical behavioral analysis[2], this paper will present the recent research undergone on composite filaments and future works that can be carried out in the field of composite filaments used in FDM.
Optimization of forces of feed, cutting and thrust based contribution parameters in machining with cutting fluid
Authors: Sathish T , Subbiah Ram , Arul K. , Mohanavel V. , Ravichandran M. 
Published: September 2021

Abstract
The optimization of the parameters needed to identify the optimum inputs to get the desirable output of the particular process or the machining. Normally so many investigation focused to the optimization on the composites. In this investigation also metal matrix composite of the aluminium alloy reinforced with Boron carbide (B4C) and the Zirconium oxide (ZrO2) each have the four percentage of total volume contributed in the aluminium alloy of Al6061. The composite specimens were prepared by the molding process. Then the specimens were machined in the Lathe. There are so many factors considered for the machining among that cutting speed, depth of cut and the cutting fluid flowing nozzle diameter were taken for optimization (by Minitab 2013) for this investigation with respect to the three forces such as force of Feed, force of cutting and force of thrust. The corresponding regression equations were recommended for these forces. For the combination of these three forces based most favorable considerations were found as cutting speed of 60 m/min, cutting depth of 0.6 mm and the cutting fluid flowing nozzle diameter of 3 mm.