bluuebunny/crossref_metadata_2025 huggingface dataset:
Semantic Cardiac Segmentation in Chest CT Images Using K-Means Clustering and the Mathematical Morphology Method
Authors: Rim Beanbonyka , Lee Sungjin , Lee Ahyoung , Gil Hyo-Wook , Hong Min
Published: April 2021

Whole cardiac segmentation in chest CT images is important to identify functional abnormalities that occur in cardiovascular diseases, such as coronary artery disease (CAD) detection. However, manual efforts are time-consuming and labor intensive. Additionally, labeling the ground truth for cardiac segmentation requires the extensive manual annotation of images by the radiologist. Due to the difficulty in obtaining the annotated data and the required expertise as an annotator, an unsupervised approach is proposed. In this paper, we introduce a semantic whole-heart segmentation combining K-Means clustering as a threshold criterion of the mean-thresholding method and mathematical morphology method as a threshold shifting enhancer. The experiment was conducted on 500 subjects in two cases: (1) 56 slices per volume containing full heart scans, and (2) 30 slices per volume containing about half of the top of heart scans before the liver appears. In both cases, the results showed an average silhouette score of the K-Means method of 0.4130. Additionally, the experiment on 56 slices per volume achieved an overall accuracy (OA) and mean intersection over union (mIoU) of 34.90% and 41.26%, respectively, while the performance for the first 30 slices per volume achieved an OA and mIoU of 55.10% and 71.46%, respectively.
Spatial Memory in a Spiking Neural Network with Robot Embodiment
Authors: Lobov Sergey A. , Zharinov Alexey I. , Makarov Valeri A. , Kazantsev Victor B.
Published: April 2021

Cognitive maps and spatial memory are fundamental paradigms of brain functioning. Here, we present a spiking neural network (SNN) capable of generating an internal representation of the external environment and implementing spatial memory. The SNN initially has a non-specific architecture, which is then shaped by Hebbian-type synaptic plasticity. The network receives stimuli at specific loci, while the memory retrieval operates as a functional SNN response in the form of population bursts. The SNN function is explored through its embodiment in a robot moving in an arena with safe and dangerous zones. We propose a measure of the global network memory using the synaptic vector field approach to validate results and calculate information characteristics, including learning curves. We show that after training, the SNN can effectively control the robot’s cognitive behavior, allowing it to avoid dangerous regions in the arena. However, the learning is not perfect. The robot eventually visits dangerous areas. Such behavior, also observed in animals, enables relearning in time-evolving environments. If a dangerous zone moves into another place, the SNN remaps positive and negative areas, allowing escaping the catastrophic interference phenomenon known for some AI architectures. Thus, the robot adapts to changing world.
Spectrum Based Power Management for Congested IoT Networks
Authors: Besher Kedir Mamo , Nieto-Hipolito Juan Ivan , Buenrostro-Mariscal Raymundo , Ali Mohammed Zamshed
Published: April 2021

With constantly increasing demand in connected society Internet of Things (IoT) network is frequently becoming congested. IoT sensor devices lose more power while transmitting data through congested IoT networks. Currently, in most scenarios, the distributed IoT devices in use have no effective spectrum based power management, and have no guarantee of a long term battery life while transmitting data through congested IoT networks. This puts user information at risk, which could lead to loss of important information in communication. In this paper, we studied the extra power consumed due to retransmission of IoT data packet and bad communication channel management in a congested IoT network. We propose a spectrum based power management solution that scans channel conditions when needed and utilizes the lowest congested channel for IoT packet routing. It also effectively measured power consumed in idle, connected, paging and synchronization status of a standard IoT device in a congested IoT network. In our proposed solution, a Freescale Freedom Development Board (FREDEVPLA) is used for managing channel related parameters. While supervising the congestion level and coordinating channel allocation at the FREDEVPLA level, our system configures MAC and Physical layer of IoT devices such that it provides the outstanding power utilization based on the operating network in connected mode compared to the basic IoT standard. A model has been set up and tested using freescale launchpads. Test data show that battery life of IoT devices using proposed spectrum based power management increases by at least 30% more than non-spectrum based power management methods embedded within IoT devices itself. Finally, we compared our results with the basic IoT standard, IEEE802.15.4. Furthermore, the proposed system saves lot of memory for IoT devices, improves overall IoT network performance, and above all, decrease the risk of losing data packets in communication. The detail analysis in this paper also opens up multiple avenues for further research in future use of channel scanning by FREDEVPLA board.
Rapid Detection of Salmonella typhimurium in Drinking Water by a White Light Reflectance Spectroscopy Immunosensor
Authors: Angelopoulou Michailia , Tzialla Konstantina , Voulgari Angeliki , Dikeoulia Mary , Raptis Ioannis , Kakabakos Sotirios Elias , Petrou Panagiota
Published: April 2021

Biosensors represent an attractive approach for fast bacteria detection. Here, we present an optical biosensor for the detection of Salmonella typhimurium lipopolysaccharide (LPS) and Salmonella bacteria in drinking water, based on white light reflectance spectroscopy. The sensor chip consisted of a Si die with a thin SiO2 layer on top that was transformed into a biosensor through the immobilization of Salmonella LPS. The optical setup included a reflection probe with seven 200 μm fibers, a visible and near-infrared light source, and a spectrometer. The six fibers at the reflection probe circumference were coupled with the light source and illuminated the biosensor chip vertically, whereas the central fiber collected the reflected light and guided it to the spectrometer. A competitive immunoassay configuration was adopted for the analysis. Accordingly, a mixture of LPS or bacteria solution, pre-incubated for 15 min, with an anti-Salmonella LPS antibody was pumped over the chip followed by biotinylated secondary antibody and streptavidin for signal enhancement. The binding of the free anti-Salmonella antibody to chip-immobilized LPS led to a shift of the reflectance spectrum that was inversely related to the analyte concentration (LPS or bacteria) in the calibrators or samples. The total assay duration was 15 min, and the detection limits achieved were 4 ng/mL for LPS and 320 CFU/mL for bacteria. Taking into account the low detection limits, the short analysis time, and the small size of the chip and instrumentation employed, the proposed immunosensor could find wide application for bacteria detection in drinking water.
Distributed Urban Platooning towards High Flexibility, Adaptability, and Stability
Authors: Jeong Sangsoo , Baek Youngmi , Son Sang H.
Published: April 2021

Vehicle platooning reduces the safety distance between vehicles and the travel time of vehicles so that it leads to an increase in road capacity and to saving fuel consumption. In Europe, many projects for vehicle platooning are being actively developed, but mostly focus on truck platooning on the highway with a simpler topology than that of the urban road. When an existing vehicle platoon is applied to urban roads, many challenges are more complicated to address than highways. They include complex topology, various routes, traffic signals, intersections, frequent lane change, and communication interference depending on a higher vehicle density. To address these challenges, we propose a distributed urban platooning protocol (DUPP) that enables high mobility and maximizes flexibility for driving vehicles to conduct urban platooning in a decentralized manner. DUPP has simple procedures to perform platooning maneuvers and does not require explicit conforming for the completion of platooning maneuvers. Since DUPP mainly operates on a service channel, it does not cause negative side effects on the exchange of basic safety messages on a control channel. Moreover, DUPP does not generate any data propagation delay due to contention-based channel access since it guarantees sequential data transmission opportunities for urban platooning vehicles. Finally, to address a problem of the broadcast storm while vehicles notify detected road events, DUPP performs forwarder selection using an analytic hierarchy process. The performance of the proposed DUPP is compared with that of ENSEMBLE which is the latest European platooning project in terms of the travel time of vehicles, the lifetime of an urban platoon, the success ratio of a designed maneuver, the external cost and the periodicity of the urban platooning-related transmissions, the adaptability of an urban platoon, and the forwarder selection ratio for each vehicle. The results of the performance evaluation demonstrate that the proposed DUPP is well suited to dynamic urban environments by maintaining a vehicle platoon as stable as possible after DUPP flexibly and quickly forms a vehicle platoon without the support of a centralized node.
Measurement of Underwater Acoustic Energy Radiated by Single Raindrops
Authors: Liu Shu , Li Qi , Shang Dajing , Tang Rui , Zhang Qingming
Published: April 2021

Underwater noise produced by rainfall is an important component of underwater ambient noise. For example, the existence of rainfall noise causes strong disturbances to sonar performance. The underwater noise produced by a single raindrop is the basis of rainfall noise. Therefore, it is necessary to study the associated underwater noise when drops strike the water surface. Previous research focused primarily on the sound pressure and frequency spectrum of underwater noise from single raindrops, but the study on its sound energy is insufficient. The purpose of this paper is to propose a method for predicting the acoustic energy generated by raindrops of any diameter. Here, a formula was derived to calculate the underwater sound energy radiated by single raindrops based on a dipole radiation pattern. A series of experiments were conducted to measure the underwater sound energy in a 15 m × 9 m × 6 m reverberation tank filled with tap water. The analysis of the acoustic energy characteristics and conversion efficiency from kinetic to acoustic energy helped develop the model to predict the average underwater sound energy radiated by single raindrops. Using this model, the total underwater sound energy of all raindrops during a rainfall event can be predicted based on the drop size distribution.
Soft Grippers for Automatic Crop Harvesting: A Review
Authors: Navas Eduardo , Fernández Roemi , Sepúlveda Delia , Armada Manuel , Gonzalez-de-Santos Pablo
Published: April 2021

Agriculture 4.0 is transforming farming livelihoods thanks to the development and adoption of technologies such as artificial intelligence, the Internet of Things and robotics, traditionally used in other productive sectors. Soft robotics and soft grippers in particular are promising approaches to lead to new solutions in this field due to the need to meet hygiene and manipulation requirements in unstructured environments and in operation with delicate products. This review aims to provide an in-depth look at soft end-effectors for agricultural applications, with a special emphasis on robotic harvesting. To that end, the current state of automatic picking tasks for several crops is analysed, identifying which of them lack automatic solutions, and which methods are commonly used based on the botanical characteristics of the fruits. The latest advances in the design and implementation of soft grippers are also presented and discussed, studying the properties of their materials, their manufacturing processes, the gripping technologies and the proposed control methods. Finally, the challenges that have to be overcome to boost its definitive implementation in the real world are highlighted. Therefore, this review intends to serve as a guide for those researchers working in the field of soft robotics for Agriculture 4.0, and more specifically, in the design of soft grippers for fruit harvesting robots.
Unsupervised Monocular Depth Estimation for Colonoscope System Using Feedback Network
Authors: Hwang Seung-Jun , Park Sung-Jun , Kim Gyu-Min , Baek Joong-Hwan
Published: April 2021

A colonoscopy is a medical examination used to check disease or abnormalities in the large intestine. If necessary, polyps or adenomas would be removed through the scope during a colonoscopy. Colorectal cancer can be prevented through this. However, the polyp detection rate differs depending on the condition and skill level of the endoscopist. Even some endoscopists have a 90% chance of missing an adenoma. Artificial intelligence and robot technologies for colonoscopy are being studied to compensate for these problems. In this study, we propose a self-supervised monocular depth estimation using spatiotemporal consistency in the colon environment. It is our contribution to propose a loss function for reconstruction errors between adjacent predicted depths and a depth feedback network that uses predicted depth information of the previous frame to predict the depth of the next frame. We performed quantitative and qualitative evaluation of our approach, and the proposed FBNet (depth FeedBack Network) outperformed state-of-the-art results for unsupervised depth estimation on the UCL datasets.
Intelligent Recognition of Chirp Radar Deceptive Jamming Based on Multi-Pulse Information Fusion
Authors: Lan Xuegang , Wan Tao , Jiang Kaili , Xiong Ying , Tang Bin
Published: April 2021

The perception of jamming types is very important for protecting our radar in complex electromagnetic environments. Radar active deceptive jamming based on digital radio frequency memory (DRFM) has a high coherence with the target echo, which confuses the information of the target echo and achieves the effect of hiding the real target. Traditional deceptive jamming recognition methods need to extract complex features and artificially set classification thresholds, which is inefficient. The existing neural network-based jamming identification methods still follow the pattern of signal modulation-type identification, so there are fewer types of jamming that can be identified, and the identification accuracy is low in the case of low jamming-to-noise ratios (JNR). This paper studies the input of jamming recognition networks and proposes an improved intelligent identification method for chirp radar deceptive jamming. This method fuses three short-time Fourier transform time–frequency graphs disturbed by three consecutive pulse periods into a new graph as the input of the convolutional neural network (CNN). Using a CNN to classify the time–frequency image has realized the recognition of a variety of common deceptive jamming techniques. Similarly, by changing the network input, the original signal is used to replace the echo signal, which improves the accuracy of the jamming recognition in the case of a low JNR.
Circular Patch Fed Rectangular Dielectric Resonator Antenna with High Gain and High Efficiency for Millimeter Wave 5G Small Cell Applications
Authors: Gaya Abinash , Jamaluddin Mohd Haizal , Ali Irfan , Althuwayb Ayman A.
Published: April 2021

A novel method of feeding a dielectric resonator using a metallic circular patch antenna at millimeter wave frequency band is proposed here. A ceramic material based rectangular dielectric resonator antenna with permittivity 10 is placed over a rogers RT-Duroid based substrate with permittivity 2.2 and fed by a metallic circular patch via a cross slot aperture on the ground plane. The evolution study and analysis has been done using a rectangular slot and a cross slot aperture. The cross-slot aperture has enhanced the gain of the single element non-metallic dielectric resonator antenna from 6.38 dB from 8.04 dB. The Dielectric Resonator antenna (DRA) which is designed here has achieved gain of 8.04 dB with bandwidth 1.12 GHz (24.82–25.94 GHz) and radiation efficiency of 96% centered at 26 GHz as resonating frequency. The cross-slot which is done on the ground plane enhances the coupling to the Dielectric Resonator Antenna and achieves maximum power radiation along the broadside direction. The slot dimensions are further optimized to achieve the desired impedance match and is also compared with that of a single rectangular slot. The designed antenna can be used for the higher frequency bands of 5G from 24.25 GHz to 27.5 GHz. The mode excited here is characteristics mode of TE1Y1. The antenna designed here can be used for indoor small cell applications at millimeter wave frequency band of 5G. High gain and high efficiency make the DRA designed here more suitable for 5G indoor small cells. The results of return loss, input impedance match, gain, radiation pattern, and efficiency are shown in this paper.
Satellite-Borne Optical Remote Sensing Image Registration Based on Point Features
Authors: Hou Xinan , Gao Quanxue , Wang Rong , Luo Xin
Published: April 2021

Since technologies in image fusion, image splicing, and target recognition have developed rapidly, as the basis of many image applications, the performance of image registration directly affects subsequent work. In this work, for rich features of satellite-borne optical imagery such as panchromatic and multispectral images, the Harris corner algorithm is combined with the scale invariant feature transform (SIFT) operator for feature point extraction. Our rough matching strategy uses the K-D (K-Dimensional) tree combined with the BBF (Best Bin First) method, and the similarity measure is the nearest neighbor/the second-nearest neighbor ratio. Finally, a triangle-area representation (TAR) algorithm is utilized to eliminate false matches in order to ensure registration accuracy. The performance of the proposed algorithm is compared with existing popular algorithms. The experimental results indicate that for visible light and multi-spectral satellite remote sensing images of different sizes and different sources, the proposed algorithm in this work is excellent in accuracy and efficiency.
Factors Affecting Site Use Preference of Grazing Cattle Studied from 2000 to 2020 through GPS Tracking: A Review
Authors: Rivero M. Jordana , Grau-Campanario Patricia , Mullan Siobhan , Held Suzanne D. E. , Stokes Jessica E. , Lee Michael R. F. , Cardenas Laura M.
Published: April 2021

Understanding the behaviour of grazing animals at pasture is crucial in order to develop management strategies that will increase the potential productivity of grazing systems and simultaneously decrease the negative impact on the environment. The objective of this review was to summarize and analyse the scientific literature that has addressed the site use preference of grazing cattle using global positioning systems (GPS) collars in the past 21 years (2000–2020) to aid the development of more sustainable grazing livestock systems. The 84 studies identified were undertaken in several regions of the world, in diverse production systems, under different climate conditions and with varied methodologies and animal types. This work presents the information in categories according to the main findings reviewed, covering management, external and animal factors driving animal movement patterns. The results showed that some variables, such as stocking rate, water and shade location, weather conditions and pasture (terrain and vegetation) characteristics, have a significant impact on the behaviour of grazing cattle. Other types of bio-loggers can be deployed in grazing ruminants to gain insights into their metabolism and its relationship with the landscape they utilise. Changing management practices based on these findings could improve the use of grasslands towards more sustainable and productive livestock systems.
Size-Based Routing Policies: Non-Asymptotic Analysis and Design of Decentralized Systems
Authors: Bachmat Eitan , Doncel Josu
Published: April 2021

Size-based routing policies are known to perform well when the variance of the distribution of the job size is very high. We consider two size-based policies in this paper: Task Assignment with Guessing Size (TAGS) and Size Interval Task Assignment (SITA). The latter assumes that the size of jobs is known, whereas the former does not. Recently, it has been shown by our previous work that when the ratio of the largest to shortest job tends to infinity and the system load is fixed and low, the average waiting time of SITA is, at most, two times less than that of TAGS. In this article, we first analyze the ratio between the mean waiting time of TAGS and the mean waiting time of SITA in a non-asymptotic regime, and we show that for two servers, and when the job size distribution is Bounded Pareto with parameter α=1, this ratio is unbounded from above. We then consider a system with an arbitrary number of servers and we compare the mean waiting time of TAGS with that of Size Interval Task Assignment with Equal load (SITA-E), which is a SITA policy where the load of all the servers are equal. We show that in the light traffic regime, the performance ratio under consideration is unbounded from above when (i) the job size distribution is Bounded Pareto with parameter α=1 and an arbitrary number of servers as well as (ii) for Bounded Pareto distributed job sizes with α∈(0,2)\{1} and the number of servers tends to infinity. Finally, we use the result of our previous work to show how to design decentralized systems with quality of service constraints.
Immobilized Antibodies on Mercaptophenylboronic Acid Monolayers for Dual-Strategy Detection of 20S Proteasome
Authors: Barsan Madalina M. , Sanz Caroline G. , Onea Melania , Diculescu Victor C.
Published: April 2021

A dual strategy for the electrochemical detection for 20S proteasome (20S) is proposed, based on the oriented immobilization of a capture monoclonal antibody (Abβ) on a self-assembled monolayer of 4-mercaptophenylboronic acid (4-MPBA) on gold electrodes, which led to the Au/4-MPBA/Abβ immunosensor. The methodology comprises the correlation of 20S concentration with (i) its proteolytic activity toward the Z-LLE-AMC substrate, using the Au/4-MPBA/Abβ/20S, and (ii) the enzymatic activity of an alkaline phosphatase (AlkP) from the AlkP-labeled secondary antibody (Abcore-AlkP), which involves the conversion of aminophenylphosphate to the electroactive aminophenol using Au/4-MPBA/Abβ/20S/Abcore-AlkP. The step-by-step construction of the immunosensor and the interactions at its surface were evaluated by surface plasmon resonance and gravimetric analysis with quartz crystal microbalance, showing a high affinity between both antibodies and 20S. Morphological analysis by scanning electron microscopy demonstrated a pattern of parallel lines upon immobilization of Abβ on 4-MPBA and morphological changes to a well-organized granular structure upon binding of 20S. A voltametric and impedimetric characterization was performed after each step in the immunosensor construction. The two detection strategies were evaluated. It was shown that the immunosensor responds linearly with 20S concentration in the range between 5 and 100 µg mL−1, which corresponds to proteasome levels in serum in the case of diverse pathological situations, and LoD values of 1.4 and 0.2 µg mL−1 were calculated for the detection strategies. The immunosensor was applied to the detection of 20S in serum samples with recovery values ranging from 101 to 103%.
Majority Voting-Based MAC Protocol for Exploiting Link-Layer Diversity in Wireless Networks
Authors: Park Jaehyoung , Kim Yonggang , Kim Gyungmin , Lim Hyuk
Published: April 2021

In wireless local area networks (WLANs), the effect of interference signals between neighboring nodes increases as the number of wireless nodes using limited radio frequency resources in a limited space increases, which can significantly degrade the reliability of data transmission. In high-density WLANs, there can be several neighboring access points (APs) that can receive uplink transmission from a station. In conventional medium access control (MAC) protocols, uplink data frames containing errors or transmitted from a non-associated station are discarded at APs. Alternatively, we propose a MAC protocol using redundant wireless links between neighboring APs and the non-associated stations. In the proposed MAC protocol, we consider a centralized WLAN with a control node that performs error corrections of erroneous uplink data frames via a majority voting algorithm-based link-layer diversity scheme using uplink data received from multiple APs to increase the reliability of data transmission. In addition, we propose an adaptive carrier sensing ranging mechanism to improve the uplink network throughput in the proposed centralized WLAN system. Further, we conduct simulation studies and software-defined radio-based experiments to evaluate the performance of the proposed MAC protocol in various WLAN scenarios.
Condition Assessment of Industrial Gas Turbine Compressor Using a Drift Soft Sensor Based in Autoencoder
Authors: de Castro-Cros Martí , Rosso Stefano , Bahilo Edgar , Velasco Manel , Angulo Cecilio
Published: April 2021

Maintenance is the process of preserving the good condition of a system to ensure its reliability and availability to perform specific operations. The way maintenance is nowadays performed in industry is changing thanks to the increasing availability of data and condition assessment methods. Soft sensors have been widely used over last years to monitor industrial processes and to predict process variables that are difficult to measured. The main objective of this study is to monitor and evaluate the condition of the compressor in a particular industrial gas turbine by developing a soft sensor following an autoencoder architecture. The data used to monitor and analyze its condition were captured by several sensors located along the compressor for around five years. The condition assessment of an industrial gas turbine compressor reveals significant changes over time, as well as a drift in its performance. These results lead to a qualitative indicator of the compressor behavior in long-term performance.
Design and Analysis of a Reconfigurable Gilbert Mixer for Software-Defined Radios
Authors: Mehta Shilpa , Li Xue-Jun , Donelli Massimo
Published: April 2021

A reconfigurable gm-boosted, image-rejected downconversion mixer is presented in this paper using the SiGe 8 HP technology. The proposed mixer operates within 0.9–13.5 GHz that is suitable for software-defined radio applications. The conversion mixer comprises of resistive biased radio frequency (RF) section, double balanced Gilbert cell mixer core sections divided as per I and Q stages for image-rejection purpose, inductively peaked gm-boosting section and tunable filter section, respectively. In comparison to previous works in the scientific literature, the design shows enhanced conversion gain (CG), noise figure (NF), and image-rejection ratio (IRR). For the entire band of operation, the mixer attains a good return loss |S11| of <−10 dB. Additionally, the design accomplishes an excellent CG of 22 dB, NF of 2.5 dB, and an image-rejection ratio of 30.2 dB at maximum frequency. Finally, a third-order intercept point (IP3) of −3.28 dBm and 1 dB compression point (CP1) of −13 dBm, respectively, shows moderate linearity performance.
A Novel Multi-Sensor Fusion Algorithm Based on Uncertainty Analysis
Authors: Xue Haobai , Zhang Maomao , Yu Peining , Zhang Haifeng , Wu Guozhu , Li Yi , Zheng Xiangyuan
Published: April 2021

During the research and development of multiphase flowmeters, errors are often used to evaluate the advantages and disadvantages of different devices and algorithms, whilst an in-depth uncertainty analysis is seldom carried out. However, limited information is sometimes revealed from the errors, especially when the test data are scant, and this makes an in-depth comparison of different algorithms impossible. In response to this problem, three combinations of sensing methods are implemented, which are the “capacitance and cross-correlation”, the “cross-correlation and differential pressure” and the “differential pressure and capacitance” respectively. The analytical expressions of the gas/liquid flowrate and the associated standard uncertainty have been derived, and Monte Carlo simulations are carried out to determine the desired probability density function. The results obtained through these two approaches are basically the same. Thereafter, the sources of uncertainty for each combination are traced and their respective variations with flowrates are analyzed. Further, the relationship between errors and uncertainty is studied, which demonstrates that the two uncertainty analysis approaches can be a powerful tool for error prediction. Finally, a novel multi-sensor fusion algorithm based on the uncertainty analysis is proposed. This algorithm can minimize the standard uncertainty over the whole flowrate range and thus reduces the measurement error.
The Use of Ferrofluids in Analytical Sample Preparation: A Review
Authors: González-Martín Raúl , Gutiérrez-Serpa Adrián , Pino Verónica
Published: April 2021

Ferrofluids (FFs) constitute a type of tunable magnetic material, formed by magnetic nanoparticles suspended in a liquid carrier. The astonishing magnetic properties of these materials and their liquid nature have led to their extended use in different applications, including fields such as magnetochemistry, optics, and biomedicine, among others. Recently, FFs have been incorporated as extractant materials in magnetic-driven analytical sample preparation procedures, thus, permitting the development of different applications. FF-based extraction takes advantage of both the magnetic susceptibility of the nanoparticles and the properties of the liquid carrier, which are responsible for a wide variety of interactions with analytes and ultimately are a key factor in achieving better extraction performance. This review article classifies existing FFs in terms of the solvent used as a carrier (organic solvents, water, ionic liquids, deep eutectic solvents, and supramolecular solvents) while overviewing the most relevant analytical applications in the last decade.
Harnessing Wind Energy Potential in ASEAN: Modelling and Policy Implications
Authors: Chang Youngho , Phoumin Han
Published: April 2021

This study examines whether and how harnessing more wind energy can decrease the cost of meeting the demand for electricity and amount of carbon emissions in the Association for Southeast Asian Nations (ASEAN) region, using the ASEAN integrated electricity trade model. Three scenarios are considered: a counterfactual business-as-usual (BAU) scenario, which assumes no wind energy is used; an actual BAU scenario that uses the wind-generation capacity in 2018; and a REmap scenario, which employs the wind-generation capacity from the Renewable Energy Outlook for ASEAN. Simulation results suggest that dispatching more wind energy decreases the cost of meeting the demand for electricity and amount of carbon emissions. However, these emissions increase during the late years of the study period, as the no- or low-emitting energy-generation technologies are crowded out.
Audit Keamanan dan Manajemen Risiko pada e-Learning Universitas Sangga Buana
Authors: Sandy Sandy , Solihin Hanhan Hanafiah
Published: April 2021

Universitas Sangga Buana is an educational institution that continues to develop thefollowing technological advances by creating an e-learning system for students to facilitatedistance learning. This system is relatively new and still being developed, allowing there are stillmany gaps that others can exploit, especially on the security side of the system. To reduce systemsecurity vulnerabilities and data loss risks, it is necessary to conduct an audit of the e-learningsystem at the Universitas Sangga Buana. The stages used to determine security systemvulnerabilities and risk management in e-learning systems use the NIST framework and theAcunetix application as a system security testing tool. The final result of the e-learning systemaudit is that the e-learning system of the University of Sangga Buana is at a reasonable level withno high system vulnerabilities found and well-implemented risk management.
Sistem Informasi Pengelolaan Data Aktivitas Penelitian dan PKM Dosen Universitas Wanita Internasional
Authors: Nawawi Muhamad , Rubedo Hendar
Published: April 2021

Not every universities, including the International Women's University, are able to managedata optimally. The objectives of this study are to describe the current research and PKM datamanagement system at International Women University, to build a research and PKM datamanagement system at International Women University, and to conduct testing and implementationof research and PKM data management systems at the International Women University that havebeen created. The method used is descriptive-action, which first describes the entire system, thenanalyzes the shortcomings and weaknesses that occur and then takes action accompanied bysolutions to solve it. The system that will be built later is expected to be an enabler in the managementof Research and PKM activities for lecturers at the International Women University. In addition, thissystem is also expected to become an embryo for the creation of other systems so that the International Women University becomes a modern university based on CBIS (Computer Based InformationSystem).
Kepedulian Keamanan Informasi di Pemerintahan: Praktik Manajemen dan Dampaknya
Authors: Fachriandi Bemy , Dirgahayu Teduh
Published: April 2021

Currently the organization is facing challenges due to the Covid19 pandemic which has caused changes in work patterns for all members of the organization. The priority of management is to give more attention to information security, especially for members and government organizations in general. Various information security practices have been carried out, but there are obstacles that occur such as the lack of awareness of information security, work behavior, work culture and the lack of human resources available and this can have a negative impact on the level of information security concern in the organization. Information security practices carried out by management do not always have an impact on changes in the behavior of organizational members. From the data obtained, there are many information security practices that may have been implemented by management. But do members of the organization care about the practice. Therefore, it is important to conduct research with the aim of knowing the practice of information security concern that has been carried out by management whether it has an impact on organizational members, especially the organization itself. This study used qualitative and quantitative interpretive approaches as a data collection process in three government organizations. Qualitative is used to obtain data from management and processed using the SAP-LAP model through interviews. Then an online survey was conducted with members of the organization to determine the impact of implementing information security care practices on the organization. The results show that organizational members have a high level of concern for the management's information security practices.
Rekomendasi Tatakelola IT dengan Acuan Cobit 5 pada Struktur Organisasi Sekolah Vokasi
Authors: Ariyadi Dwiyono , Astuti Indah Puji
Published: April 2021

Vocational education institutions will be able to carry out their functions and objectives if they have supporting elements that contribute to the goals of the institution. One of the supporting elements is resources. Various resources in vocational institutions have a role to accelerate the realization of institutional goals. Information technology resources play a role in facilitating the activities of institutions in the IT field. The purpose of this study is to know whether the organizational structure that handles IT in schools SMK Jenangan is an appropriate IT governance COBIT. The methodology used by the descriptive. survey research data. Based on the findings obtained, this institution is still lacking staff in different positions. After conducting research obtained There are 5 primary IT-related goals of 20 processes COBIT5. The result is an adjustment in the form of recommendation IT governance resources requirements along with the tasks and responsibilities which refers COBIT5 domain. The hope of research is the impact to changes in the organizational structure typewriter appropriate recommendations so software engineering division can optimal tasks.
Sistem pembelajaran untuk penyandang dissabilitas berbasis sinyal wicara menggunakan Matlab
Authors: Jafar Nurul Aisyah
Published: April 2021

Penelitian ini bertujuan untuk membuat sebuah sistem pembelajaran untuk penyandang Tuna Netra berbasis Sinyal wicara menggunakan software Matlab. Pada penyandang Tuna netra sering mengalami kesulitan untuk melakukan pengoperasian pada komputer, sehingga akan diperlukan operator yang harus membantu untuk mengoperasikannya. Untuk penyandang tuna netra akan lebih mudah melakukan segala hal untuk mengoperasikan komputer apabila terdapat sebuah aplikasi yang dapat beroperasi sesuai dengan perintah penyandang Tuna netra tersebut. Simulasi yang dibuat menggunakan metode jarak Euclidean dan Mel-Frequency Cepstral Coefficients (MFCC) yang akan memudahkan sistem pengenalan suara pada manusia yang sebelumnya akan di simpan pada database. Pada penelitian ini dibuat sebuah software untuk membantu penyandang tuna netra untuk pembelajaran yang dilakukan dengan berbasis komputer dengan merancang berbagai soal dengan menggunakan audio sehingga penyandang tuna netra cukup menjawab dengan suara. Penulis menggunakan perangkat lunak matlab guna membuat software yang akan digunakan, Kemudian hasil dari penyandang tuna netra tersebut dicocokkan dengan jawaban yang telah disediakan sebelumnya pada database. Dengan adanya pembuatan simulator matlab berbasis Graphical User Interface, diharapkan dapat membantu memudahkan penyandang tuna netra untuk melakukan proses pembelajaran menggunakan perangkat keras komputer sehingga tidak memerlukan operator lagi untuk membantu pengoperasiannya.
Percepções da mata e praia à universidade: um roteiro em dois atos da resistência Tremembé no noroeste do Ceará
Authors: Nascimento Luan Rodrigues do , Almeida Vinícius Chaves
Published: April 2021

Quando esteve em Sobral, em visita à Universidade Estadual Vale do Acaraú – UVA, Alessandro Portelli talvez não imaginasse que estaria plantando uma importante semente entre os estudantes da região. Essa semente germinou e, anos depois, temos inúmeras iniciativas e trabalhos de grande qualidade inspirados na obra do mestre italiano. Alguns deles, pensados e desenvolvidos no âmbito do Grupo de Estudos de História Oral, liderado pela professora Telma Bessa Sales, que por meio das professoras Yara Khoury e Heloísa Cruz, da PUC-SP, conheceu Portelli e, a partir de então, sempre o tem presente eu seus estudos, como neste livro, prefaciado por ele. Este livro é mais do que um apanhado de excelentes trabalhos de pesquisa em história oral, mas uma homenagem àquele que, gentilmente, compartilhou um pouco de seu conhecimento com uma geração ávida por produzir conhecimento sobre sua gente, sua terra, ou seja, sobre suas próprias histórias. A metodologia de Portelli ajudou a semear essas histórias e está presente em cada página a seguir, cujo fruto mais importante é o potencial de seguir inspirando mais e mais pesquisadores a ouvir, contar e registrar para a História nuances que, sem essa atitude, passariam despercebidas e normalmente cairiam no esquecimento.
“As mulheres, em ciranda, iam na frente e, se precisasse, os homens iam atrás”: memórias de camponeses e camponesas do movimento do dia do senhor sobre a luta pela terra de Salgado do Nicolau, em Trairi – CE
Authors: Bezerra Viviane Prado
Published: April 2021

Quando esteve em Sobral, em visita à Universidade Estadual Vale do Acaraú – UVA, Alessandro Portelli talvez não imaginasse que estaria plantando uma importante semente entre os estudantes da região. Essa semente germinou e, anos depois, temos inúmeras iniciativas e trabalhos de grande qualidade inspirados na obra do mestre italiano. Alguns deles, pensados e desenvolvidos no âmbito do Grupo de Estudos de História Oral, liderado pela professora Telma Bessa Sales, que por meio das professoras Yara Khoury e Heloísa Cruz, da PUC-SP, conheceu Portelli e, a partir de então, sempre o tem presente eu seus estudos, como neste livro, prefaciado por ele. Este livro é mais do que um apanhado de excelentes trabalhos de pesquisa em história oral, mas uma homenagem àquele que, gentilmente, compartilhou um pouco de seu conhecimento com uma geração ávida por produzir conhecimento sobre sua gente, sua terra, ou seja, sobre suas próprias histórias. A metodologia de Portelli ajudou a semear essas histórias e está presente em cada página a seguir, cujo fruto mais importante é o potencial de seguir inspirando mais e mais pesquisadores a ouvir, contar e registrar para a História nuances que, sem essa atitude, passariam despercebidas e normalmente cairiam no esquecimento.
SURİYELİ MÜLTECİ KRİZİNE YÖNELİK TÜRKİYE’NİN SAĞLIK POLİTİKALARI
Authors: ŞAHİNLİ Serhan
Published: April 2021

Bu araştırmanın amacı, Nisan 2011 yılından itibaren Türkiye’ye gelen Suriyeli mültecilerin, Haziran 2019 yılı itibari ile Türkiye’deki mevcut durumlarını irdelemek, bu sekiz yıl içerisinde Türkiye’nin sunmuş olduğu sağlık hizmetleri ile uygulamış olduğu sağlık politikalarının aşamaları, uygulanma süreci ve sonuçlarını incelemektir. Göç İdaresi Genel Müdürlüğü’nün 04.04.2019 tarihli verilerine göre toplam Suriyeli sayısı 3.630.767’dir. Suriyelilerin sağlık hizmetlerine erişimi Geçici Koruma Yönetmeliği’nin 27. Maddesinde düzenlenmiştir. Sağlık Bakanlığı tarafından Suriyelilere barınma merkezlerinde, poliklinik ve hastaneye sevk, acil sağlık hizmetleri, bağışıklama, aşılama, bebek ve gebe takip sistemi, bulaşıcı hastalık takibi, çevre sağlığı hizmetleri sunulmaktadır. Sunulan sağlık hizmeti bedeli, sağlık uygulama tebliğindeki bedeli geçmeyecek şekilde AFAD tarafından ödenmektedir. Suriyeli mültecilerin sağlık hizmeti alımı sırasında karşılaştığı en büyük problem dil engelidir. TBMM Göç ve Uyum Raporu'na göre Aralık 2017 yılı itibari ile 3,4 milyon geçici koruma altındaki Suriyeliler için 30 milyar dolarlık bir harcama yapılmıştır. Türkiye’nin Suriyeli mültecilerle ilgili planlama yaparken özellikle kalış süreleri ile ilgili orta ve uzun vadeli gerçekçi planlamalar yapılmalı, hastanelerde yaşanan dil problemlerini çözmek için tercümanlık açısından hizmet edecek rehberlik servislerinin oluşturulması önerilmektedir.
The Motivations, Constraints, and Behaviour of Tanzania's Frontline Education Providers
Authors: Cilliers Jacobus , Oza Shardul
Published: April 2021

In this note, we leverage data from a nationwide survey conducted in 2019 in Ethiopia to shed light on what Ward Education Officers do, their understanding of their own role, and the constraints they face in executing their responsibilities. We interviewed 397 WEOs responsible for primary schools across 23 districts and six regions of Tanzania as part of a baseline survey conducted between February and May 2019. This note contributes to a growing literature on the activities, self-perceptions, and motivation of public sector officials in charge of “last mile” service delivery. For example, Aiyar and Bhattacharya (2016) use time-use diaries, in-depth interviews, and quantitative data to understand the views, attitudes, and activities of sub-district education sector officials, called block education officers, in India.
German-English Interference in the Field of Vocalism (Based on the Speech of Germans who Study English as a Foreign Language)
Authors: Abryutina Anna , Ponomareva Anna
Published: April 2021

The growing popularity of contrastive phonology as a branch of linguis-tics is seen now, in particular, due to the spread of bilingualism and multilin-gualism. Globalization involves the ability to speak several languages, in the study of which the phonetic level is primarily considered. The purpose of this work is to examine and describe the most likely consequences arising from in-terference in the articulation of vowel sounds in the English-language speech of Germans who study English as a foreign language. The article deals with monophthongs, diphthongs, and triphthongs, dis-cusses possible variations in the articulation of sounds, as well as the processes of reduction, elision, and substitution. Descriptive and comparative methods are the leading ones in the work, however, the instrumental method is also used to determine deviations from the norm and the nature of changes in articulation. The paper identifies a number of trends in the articulation of English sounds by Germans and reveals the reasons of the main difficulties which stu-dents face while studying phonetic norms of RP and speaking German as their native language, i.e. the qualitative and quantitative mismatch of allophones. The achievement of this goal testifies to the theoretical significance of this work, namely, the possibility of further detailed research in the field of sociophonetics and phonostylistics.
Foreign Centres of Belarusian Studies.The Ostrogorski Centre in London
Authors: Rodionov Ivan
Published: April 2021

The article analyzes the activities of the Ostrogorski Centre as one of the most active Belarusian organizations in the UK nowadays. The research is based on the analysis of the publications taken from The Journal of Byelorus-sian Studies and the course «The Grand Duchy of Lithuania in European and Belarusian History» offered by Ostrogorski Academy. The history of the Journal of Byelorussian Studies dates back to the mid-1960s. The journal was initiated by the Anglo-Belarusian Society. The first issue of the Yearbook was published in 1965. The journal as a whole tended towards a philological (linguistic) orientation. The General theme of articles on histori-cal Belarusian topics in the journal was firstly of random, fragmentary charac-ter, without a common editorial purpose and the philosophy of the journal his-torical issues: for example, the description of individual issues of «Nasha Niva» newspaper is replaced by articles about the role of the Grand Duchy of Lithuania, the daily life of the nobles, presented in memoirs, the influence of Belarus-ian masters on Moscow architecture, etc. In the majority of the thematically «scattered» historical publications, one line clearly emerges –the national one. The journal was published again in 2013 due to the joint efforts of Os-trogorski Centre and the Anglo-Belarusian Society. It has acquired a more sci-entific structure. It publishes articles on Belarusian literature, linguistics, inter-national relations, civil society, history and art, as well as book reviews, which emphasizes its scientific component. The modern version of the journalcontains a larger number of articles on historical topics in comparison with the publica-tion of the second half of the 20th century. Publications of the modern journal deal with such topics as the Grand Duchy of Lithuania, the early Soviet period of the 1920–30s and belarusization, Western Belarus as a part of Poland, the period of the Second World War, Stalinism, personalities, etc.