bluuebunny/crossref_metadata_2025 huggingface dataset:
Organic matter management for sustainable productivity of corn-groundnut cropping pattern on acid upland soils
Authors: Supriyo Agus , Minarsih Sri , Winarto Budi
Published: September 2021

This study aims to conduct the organic management that sustain productivity of corn-groundnut sequential cropping on acid upland soil in South Kalimantan, Indonesia. Tanah Laut Regency is the target area for this conservation farming system. Furthermore, these areas havebeen identified potentially for food crop development The experiment was conducted Bumi Asih villages, Panyipatan sub district, Tanah Laut, South Kalimantan provinces. In 1994/1995 WS until 1995 DS. These area as a ultisol soil type and transmgiration areas. Randomized Complete Block Desgind (RCBD) with four replication, and plot size 10 m x 20 m. There were Six treatment consisted of O1(No Farm Yard Manure/FYM), organic matter remains incorporated in to the soil + Fertilizer 60 kg N + 35 kg P2O5 per ha; O2 (1 t FYM organic matter remains incorporated in to the soil + 120 kg N + 70 kg P2O5/ha); O3 (All organic matter remains incorporaed in to the soil + 2,5 t FYM/ha); O4 (as Treatment O3 + 5 t FYM/ha); O5 (as treatment O3 + 10 t FYM/ha) and O6 (as treatment O3 + 20 t FYM/ha). Corn cv Arjuna was planted with row spacing 200 cm x 20 cm; and intercrops with Groundnut cv Pelanduk with row spacing 25 cm x 20 cm during two seasons planting. Data were colect i.e some physical soil properties such as soil moisture; soil hardness; some chemical soil properties such as soil pH, Org-C; plant nutrient such plant nutrient content such as leaf of N; P; Ca and Mg contents.. Growth parameter i.e shoot dry weight and yield of corn and groundnut. Data colected were analyzed by Variant analyzis. Diferently among treatment were analyzed by DMRT.0.05.. ...The results showed that the increase ins oil pH due to highC-organd some nutrient contents such as N, P, Ca and P inleaf of corn were significantly affected during the last seasons by organic amendment. In terms of cultivation, organic matter increased the infestation of weeds.. The organic management with the highest application (20 tonnes.ha-1 FYM) in every season yielded up to four – five times for corn and 0.65 – 1.28 for groundnut compared to control/farmer practices (1.175 t dry seed/ha).
Application of green building materials in the field of construction and sustainable development
Authors: Hu Yuxuan , Wang Jue , Wang Xueru
Published: September 2021

Green building materials are a new category. Compared with the past building materials, ideal building materials have a series of characteristics such as reducing energy consumption, reducing emissions, saving resources, and being recyclable, which makes them become an important reference for sustainable development. This article focuses on foam glass, green walls, and ecological cement. During the research process, it was found that foam glass has better characteristics than ordinary glass, and less waste is generated during the production process, which reduces pollution; The green wall can not only reduce energy consumption, but also absorb harmful substances, and the plant exterior wall can also make people comfortable; Ecological cement can be made from waste materials, which greatly saves resources and realizes recycling. In short, green building materials are an important method to achieve sustainable development and will certainly play an important role in the future construction field.
The origin of microplastics of offshore discharge: A review in assessing the relationship between microplastics content and other contaminants
Authors: Liu Yang , Yan Shiqi , Yuan Zehui
Published: September 2021

The article reviewed migration, degradation, toxicity, and distribution of microplastics, which was focused on data enumeration of emission samples from countries around the North Pacific Ocean, South Atlantic Ocean, and Circumpolar oceans. Microplastic particles are easily absorbed by animals and spread to the whole food chain, and they have been confirmed to exist in the human body. It was well established that high abundance microplastics were trapped by ocean currents and accumulated in surface and sediment in convergence zones of the five subtropical gyres. While microplastic itself leaches out the toxin in the seawater, synergistic effects between microplastic and other pollutants increase microplastic toxicity for organisms. The monomers of 16 out of 55 plastic polymers were carcinogenic and mutagenic or toxic for reproduction. Additives used in the process are also dangerous polypropylene (PP), and polyethylene (PE) prefer to sorb persistent organic pollutants (POPs) and have an extremely slow rate of desorption, which form synergic effects and increase the toxicity of microplastics (MPs). For other plastic polymers, the sorption and desorption of pollutants by MPs depends on the concentration of POPs, so the toxicity of MPs varies with the content of pollutants. But for some types of MPs and POPs, the concentration of POPs controlled by microplastics also can decrease the lethal toxicity of POPs. Higher concentrations of MPs in the seawater cause larger MPs consumptions of marine organisms, especially in polar regains that have the highest MPs concentrations.
Liebe Leserinnen und Leser, liebe Kolleginnen und Kollegen
Authors: Meyhöfer Sebastian M.
Published: September 2021

nun befinden wir uns also bereits im zweiten Jahr der Pandemie und nachdem der Adipositas-Kongress in 2020 erfolgreich als Hybrid-Veranstaltung durchgeführt werden konnte sind wir hoffnungsfroh, uns alle bei der diesjährigen Tagung mit voller Präsenz in Wiesbaden sehen zu können. Wir freuen uns besonders, dass der diesjährige Kongress der Deutschen Adipositas Gesellschaft (DAG) wieder „back-to-back“ mit der Herbsttagung der Deutschen Diabetes Gesellschaft (DDG) stattfindet. Das diesjährige Kongressmotto „Diabetes und Adipositas – gemeinsam durch dick und dünn“ spiegelt dabei die breite inhaltliche Überschneidung der beiden großen Volkskrankheiten Diabetes mellitus und Adipositas wider. Das Kongress-Motto verdeutlicht aber auch die enge und stets vertrauensvolle Zusammenarbeit zwischen DAG und DDG. Nur gemeinsam können wir die medizinischen, gesellschaftlichen und gesundheitspolitischen Herausforderungen von Diabetes und Adipositas meistern.
Gastrointestinale Tumoren
Authors: Arnheim Katharina
Published: September 2021

Bei der virtuellen Tagung der American Society of Clinical Oncology (ASCO) vorgestellte Studien weisen auf therapeutische Fortschritte bei gastrointestinalen Tumoren hin.
State of the Art in Robot-Assisted Eye Surgery
Authors: Bourcier Tristan , Dormegny Léa , Sauer Arnaud , Nardin Mathieu , Becmeur Pierre-Henri , Chammas Jimmy , Gaucher David , Ballonzoli Laurent , Speeg Claude , Liverneaux Philippe , Vix Michel , Marescaux Jacques , Mutter Didier
Published: September 2021

Despite the advantages that robot-assisted surgery can offer to patient care, its use in ophthalmic surgery has not yet progressed to the extent seen in other fields. As such, its use remains limited to research environments, both basic and clinical. The technical specifications for such ophthalmic surgical robots are highly challenging, but rapid progress has been made in recent years, and recent developments in this field ensure that the use of this technology in operating theatres will soon be a real possibility. Fully automated ocular microsurgery, carried out by a robot under the supervision of a surgeon, is likely to become our new reality. This review discusses the use of robot-assisted ophthalmic surgery, the recent progress in the field, and the necessary future developments which must occur before its use in operating theatres becomes routine.
Heterogeneous Hydrogenation of Quinoline Derivatives Effected by a Granular Cobalt Catalyst
Authors: Topf Christoph , Timelthaler Daniel
Published: September 2021

We 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

The 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

A 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

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

A 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

Thrombosis 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.
Modal decomposition analysis of unsteady viscous liquid sheet flows
Authors: Colanera Antonio , Della Pia Alessandro , Chiatto Matteo , de Luca Luigi , Grasso Francesco
Published: September 2021

The unsteady dynamics of a gravitational liquid sheet, driven by a continuous harmonic perturbation in the lateral velocity component applied at the inlet section, is analyzed. The topology and the dynamics of the relevant flow structures are characterized by applying POD (Proper Orthogonal Decomposition) and spectral POD (SPOD) modal decompositions on two-dimensional two-phase numerical simulation data obtained with the volume-of-fluid approach. The investigation is carried out by varying the Weber number, the forcing frequency (Strouhal number), and the Reynolds number. The supercritical regime (We > 1) features a traveling perturbation, exhibiting a spatial structure with leading sinuous modes. SPOD spectra confirm the occurrence of a discontinuity in frequency response between the supercritical and subcritical regimes. In the subcritical regime (We < 1), the investigation highlights the excitation of a combined sinuous–varicose motion when the system is driven at resonance frequency for a relatively high Reynolds number (approaching the inviscid limit). The emergence of varicose modes is favored by low Weber numbers. The excitation of these modes occurs when the Weber number is decreased from We = 0.90 down to 0.75, with a progressive shift of the varicose mode from higher harmonics toward the main frequency; it can be considered as a possible mechanism of breakup observed in experiments when the inlet flow rate is progressively reduced. The flow reconstruction based on both POD and SPOD confirms the good capability of SPOD modes to capture dynamically relevant features of the fluid motion in subcritical conditions.
Effects of nozzle inlet size and curvature on the flow development in a bidirectional vortex chamber
Authors: Sharma Gaurav , Majdalani Joseph
Published: September 2021

A finite-volume solver is used to describe the cyclonic motion in a cylindrical vortex chamber comprising eight tangential injectors and a variable nozzle size. The simulations are performed under steady, incompressible, and inviscid flow conditions with air as the working fluid. First, we apply a fine tetrahedral mesh to minimize cell skewness, particularly near injectors. Second, this mesh is converted into a polyhedral grid to improve convergence characteristics and precision. After achieving convergence, the velocity components are evaluated and compared to existing analytical solutions. We find that well-resolved numerical simulations can accurately predict the expected forced vortex behavior in the core region as well as the free vortex tail in the outer region. We also confirm that the swirl velocity remains axially invariant irrespective of the outlet radius. Similarly, we are able to ascertain that the axial and radial velocities embody the bidirectional nature of the motion. As for the computed pressure distribution, it is found to agree quite well with both theoretical formulations and experimental measurements of cyclone separators. Then using a parametric trade study, the effect of nozzle variations on the internal flow character, mantle structure, and recirculation zones is systematically investigated. Apart from the exit diameter, we find that the nozzle length and inlet curvature can substantially affect the internal flow development including the formation of backflow regions, recirculation zones, and mantle excursions. Finally, an empirical relation is constructed for the nozzle radius of curvature and shown to effectively suppress the emergence of recirculation and backflow regions.
Deep learning opens up protein science’s next frontiers
Authors: Miller Johanna L.
Published: September 2021

Computer models can now provide stunningly accurate predictions of proteins’ three-dimensional structures. But what about their biological functions?
Dead and down woody debris fuel loads in Canadian forests
Authors: Hanes Chelene C. , Wang Xianli , de Groot William J.
Published: September 2021

In Canada, fire behaviour is modelled based on a fuel classification system of 16 fuel types. Average fuel loads are used to represent a wide range of variability within each fuel type, which can lead to inaccurate predictions of fire behaviour. Dead and down woody debris (DWD) is a major component of surface fuels affecting surface fuel consumption, potential crown fire initiation, and resulting crown fuel consumption and overall head fire intensity. This study compiled a national database of DWD fuel loads and analysed it for predictive driving variables. The database included DWD fuel loads for all dominant Canadian forest types at three size classes: fine (<1 cm), medium (1–7 cm) and coarse (>7 cm). Predictive models for DWD fuel load by size classes individually and collectively for various forest types and ecozones were analysed. Bioclimatic regime, age, spatial position, drainage, and structural components including diameter at breast height and stem density were significant variables. This study provides tools to improve our understanding of the spatial distribution of DWD across Canada, which will enhance our ability to represent its contribution within fire behaviour and fire effects models.
IP
3
R-driven increases in mitochondrial Ca
2+
promote neuronal death in NPC disease
Authors: Tiscione Scott A. , Casas Maria , Horvath Jonathan D. , Lam Vincent , Hino Keiko , Ory Daniel S. , Santana L. Fernando , Simó Sergi , Dixon Rose E. , Dickson Eamonn J.
Published: September 2021

Significance

NPC1 is a ubiquitously expressed lysosomal cholesterol transporter whose loss of function results in neurodegenerative NPC1 disease. Here, we report that loss-of-function, knockout, or mutation-causing NPC1 initiates a damaging signaling cascade that alters the expression and nanoscale distribution of IP
3
R type 1 that precipitates neuron death. Targeting IP
3
R1 or upstream elements of this signaling cascade rescues neuronal death and provides potential therapeutic targets to address IP
3
R dysfunction, a feature of NPC1 disease and other neurodegenerative disorders.
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.
The differential psychology of environmental protection/exploitation (La psicología diferencial de la protección/explotación medioambiental)
Authors: Milfont Taciano L.
Published: September 2021

Differential psychology focuses on how individuals vary in the way they think, feel and act by measuring differences that distinguish them as more similar to themselves over time and across situations than other individuals. In this article I review and discuss available evidence on key individual differences associated with protection and exploitation of the natural environment. The discussion centres on personality traits, basic human values, time perspective and system-justifying ideological orientations. Environmental protection has been shown to be consistently related to higher levels of Openness to Experience and Agreeableness (and somewhat Honesty-Humility) traits, Self-Transcendence and Openness to Change values and future thinking. Conversely, environmental exploitation is consistently related to higher levels of conservative political orientation, Right-Wing Authoritarianism and Social Dominance Orientation. Individual differences research provides useful theoretical information that can have applied benefits in designing communication strategies to bring individuals less prone to protect the natural environment on board. Issues with jangle fallacy (measures with different names might not necessarily assess different things) and directions for future research are also discussed.
Hematopoietic progenitors polarize in contact with bone marrow stromal cells in response to SDF1
Authors: Bessy Thomas , Candelas Adrian , Souquet Benoit , Saadallah Khansa , Schaeffer Alexandre , Vianay Benoit , Cuvelier Damien , Gobaa Samy , Nakid-Cordero Cecilia , Lion Julien , Bories Jean-Christophe , Mooney Nuala , Jaffredo Thierry , Larghero Jerome , Blanchoin Laurent , Faivre Lionel , Brunet Stephane , Théry Manuel
Published: September 2021

The fate of hematopoietic stem and progenitor cells (HSPCs) is regulated by their interaction with stromal cells in the bone marrow. However, the cellular mechanisms regulating HSPC interaction with these cells and their potential impact on HSPC polarity are still poorly understood. Here we evaluated the impact of cell–cell contacts with osteoblasts or endothelial cells on the polarity of HSPC. We found that an HSPC can form a discrete contact site that leads to the extensive polarization of its cytoskeleton architecture. Notably, the centrosome was located in proximity to the contact site. The capacity of HSPCs to polarize in contact with stromal cells of the bone marrow appeared to be specific, as it was not observed in primary lymphoid or myeloid cells or in HSPCs in contact with skin fibroblasts. The receptors ICAM, VCAM, and SDF1 were identified in the polarizing contact. Only SDF1 was independently capable of inducing the polarization of the centrosome–microtubule network.
Analytic two-loop master integrals for tW production at hadron colliders: I *
Authors: Chen Long-Bin , Wang Jian
Published: September 2021

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

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

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

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

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

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

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

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

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

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

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

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.
Mechanical properties of waste silk fibre reinforced PLA bio composites manufactured through hand layup method
Authors: Mohanavel V. , Sathish T , Ravichandran M. , Arul K. , Subbiah Ram
Published: September 2021

In recent years, biodegradable and eco-friendly composites have gained popularity. Using the hot moulding technique, biodegradable polylactic acid (PLA) biocomposites reinforced with waste silk fibre were fabricated in this paper. They also underwent a variety of mechanical tests like tensile strength and modulus. While not surface-treated, the waste silk fibre reinforced PLA matrix bio composites mechanical properties. The fibre content of 30 wt per cent is optimal for achieving superior properties. Owing to the reinforcing effect of silk fibres, the quasi-static mechanical properties of waste silk fibre/PLA bio composites were enhanced.
IoT based crop monitoring scheme using smart device with machine learning methodology
Authors: Shylaja S L , Fairooz Shaik , Venkatesh J. , Sunitha D. , Prakash Rao R. , Ramkumar Prabhu M.
Published: September 2021

Internet of Things (IoT) is the most considerable medium for all smart applications, in which it provides a huge support to agricultural industry in fine manner. In literature, there are lots of smart devices are available for monitoring the crops and agricultural field, but all are strucked under certain limitations such as power problem, cost expensiveness and so on. This paper is intended to design a new machine learning enabled Smart Internet of Things medium to support agricultural field in proper way. In this paper, a Intelligent Crop Monitoring Device (ICMD) is introduced to monitor the crops over the agricultural field in 24x7 manner. This kind of monitoring devices enhances the production and quality-of-service of the agriculture as well as related products. This paper associates an innovative technology to the Smart Device called Machine Learning, but instead of using the classical learning schemes, this approach introduced a new scheme called Modified Learning based Field Analysis Strategy (MLFAS). This approach is inspired from the classical machine learning scheme called Convolutional Neural Network (CNN), in which the proposed Smart Device called ICMD accumulates the real-time agricultural field details and pass it to the monitoring unit for manipulation. The manipulation end maintains the data into the server unit, in which the machine learning model called MLFAS acquires the received field data and process it based on the training samples. The training samples are nothing but data collected from the agriculture field, the collection of received data are maintained into the server end for processing, the proposed MLFAS model manipulates the data and created as a model for further testing. The newly arrived data from the field is considered as a testing data and cross-validate that data into the trained model. The data acquired from the agriculture fields are temperature, humidity and soil moisture level, in which these records are passed to the server unit by using IoT module associated with the ICMD. The data available into the server can easily be monitored by the farmer from anywhere at any time. The learning model predicts the status of the crop in the field by means of analyzing the input acquired from the real-time testing input and report that to the respective farmer for taking an appropriate action. For all this system is useful to the agricultural field and provides good support to farmers to monitor the crops over the agricultural field from the remote place even. By using this proposed scheme, the farmers can make accurate and efficient crop management decisions with the use of results obtained by using the Smart Device called ICMD.
Fabrication of brake overrides system with sleep detector
Authors: Arumugam P. , Vinoth Kumar S. , Allen A.C. , Harish D.S. , Ranganathan K. , Pugazhendhi L.
Published: September 2021

When compared with the olden day’s life span of a human is decreased. The death rate due to accidents is extremely increased because of the rise in the number of vehicles. This automatic braking system will positively lessen the number of accidents due to brake failures. An Ultrasonic sensor is positioned in front of the vehicle and that system consists of an emitter and a receiver. The signal to the ultrasonic sensor module is based upon the distance of the object it actuates the motor shut down or brakes. Concerning the distance of the object from the vehicle the brakes are applied at long-distance input and the motor is shut down at shorter range input. Brakes are actuated by using the 12 V wiper motor. The movement of the vehicle is powered by a 24V DC type box motor which is directly connected to the wheels by a chain-driven mechanism. In addition to the smart stop technology, an IR sensor also detects the movement of the eye and switches off the motor if no movement is found for 3 seconds or more. Even in the case of Autonomous vehicles, this will prevent accidents at the time of unintentional inputs.
Feasibility study of fast ion loss diagnostics for CFQS by beam ion loss calculation on vacuum vessel
Authors: Ogawa K. , Isobe M. , Seki R. , Nuga H. , Yamaguchi H. , Sangaroon S. , Shimizu A. , Okamura S. , Takahashi H. , Oishi T. , Kinoshita S. , Murase T. , Nakagawa S. , Tanoue H. , Osakabe M. , Liu H.F. , Xu Y.
Published: September 2021

A feasibility study for installing fast-ion loss diagnostics
(FILDs) is initiated to understand energetic ion loss process in a
quasi-axisymmetric stellarator CFQS. The calculations of beam ion
orbit, the guiding center orbit code including the slowing down by
bulk plasma in the Boozer coordinates and the collisionless Lorentz
orbit code in the Cartesian coordinates, are performed to estimate
the toroidal/poloidal distribution of beam ion losses on a vacuum
vessel. We observed that loss points on the vacuum vessel are mainly
located at the upper side of torus according to gradient magnetic
field drift direction. Based on the loss distribution on the vacuum
vessel, a possible location of FILD for CFQS is
investigated. Although the energy of lost beam ions is
∼10 keV, relatively high-energy (> 20 keV) components can
be measured on the upper side of the torus in the low-density
case. Furthermore, the radial or vertical dependence of beam ion
loss flux at candidate movable scintillator-type FILD positions is
obtained. A considerable number of particles reach the
scintillator-type FILD position. The energy and pitch angle
distribution of beam ions reaching the FILD position shows that
scintillator-type FILDs can measure co-going transit beam ions with
energy of ∼25 keV and pitch angle of ∼140 degrees and
transition beam ions with energy of 10–15 keV and pitch angle of
∼80–100 degrees.