bluuebunny/crossref_metadata_2025 huggingface dataset:
Developing a Web-Based Shared Decision-Making Tool for Fertility Preservation Among Reproductive-Age Women With Breast Cancer: An Action Research Approach (Preprint)
Authors: Tseng Ling-Ming , Lien Pei-Ju , Huang Chen-Yu , Tsai Yi-Fang , Chao Ta-Chung , Huang Sheng-Miauh
Published: October 2020

BACKGROUND

The pregnancy rate after cancer treatment for female survivors is lower than that of the general population. Future infertility is a significant concern for patients with breast cancer and is associated with a poor quality of life. Reproductive-age patients with breast cancer have safe options when choosing a type of fertility preservation method to be applied. Better information and support resources aimed at women to support their decision making are needed.

OBJECTIVE

The objective of this study was to develop a web-based shared decision-making tool for helping patients with breast cancer make decisions on fertility preservation.

METHODS

We used the action research cycle of observing, reflecting, planning, and acting to develop a web-based shared decision-making tool. The following four phrases were applied: (1) observe and reflect—collect and analyze the decision-making experiences of patients and health care providers; (2) reflect and plan—apply the initial results to create a paper design and modify the content; (3) plan and act—brainstorm about the web pages and modify the content; (4) act and observe—evaluate the effectiveness and refine the website’s shared decision-making tool. Interviews, group meetings, and constant dialogue were conducted between the various participants at each step. Effectiveness was evaluated using the Preparation for Decision-Making scale.

RESULTS

Five major parts were developed with the use of the action research approach. The Introduction (part 1) describes the severity of cancer treatment and infertility. Options (part 2) provides the knowledge of fertility preservation. The shared decision-making tool was designed as a step-by-step process (part 3) that involves the comparison of options, patient values, and preferences; their knowledge regarding infertility and options; and reaching a collective decision. Resources (part 4) provides information on the hospitals that provide such services, and References (part 5) lists all the literature cited in the website. The results show the web-based shared decision-making meets both patients’ and health providers’ needs and helps reproductive-age patients with breast cancer make decisions about fertility preservation.

CONCLUSIONS

We have created the first web-based shared decision-making tool for making fertility preservation decisions in Taiwan. We believe female patients of reproductive age will find the tool useful and its use will become widespread, which should increase patient autonomy and improve communication about fertility preservation with clinicians.

CLINICALTRIAL

Clinicaltrials.gov NCT04602910; https://clinicaltrials.gov/ct2/show/NCT04602910
Use of Twitter in Neurology: Boon or Bane? (Preprint)
Authors: Mishra Biswamohan , Saini Monica , Doherty Carolynne M , Pitceathly Robert D S , Rajan Roopa , Siddiqi Omar K , Ramdharry Gita , Asranna Ajay , Tomaselli Pedro Jose , Kermode Allan G , Bajwa Jawad A , Garg Divyani , Vishnu Venugopalan Y
Published: October 2020

UNSTRUCTURED

Twitter is a free, open access social media platform that is widely used in medicine by physicians, scientists, and patients. It provides an opportunity for advocacy, education, and collaboration. However, it is likely not utilized to its full advantage by many disciplines in medicine, and pitfalls exist in its use. In particular, there has not been a review of Twitter use and its applications in the field of neurology. This review seeks to provide an understanding of the current use of Twitter in the field of neurology to assist neurologists in engaging with this potentially powerful application to support their work.
Assessment of Outcomes of Immediately Loaded Dental Implants in Orofacial Cleft Patients: Protocol for a Single-Arm Clinical Trial (Preprint)
Authors: Mallick Rizwana , Pisulkar Sweta Kale , Reddy Srinivas Gosla
Published: October 2020

BACKGROUND

Orofacial cleft, one of the most common congenital deformities, presents with a plethora of defects, subjecting the patient to a multitude of treatments from a young age. Among the oral hard tissue problems, absence of a maxillary permanent tooth in the cleft region either due to congenital absence or extraction due to compromised prognosis is a common finding. Conventionally, the missing tooth is replaced using a removable or fixed partial denture; however, the treatment modality does not satisfactorily meet patient expectations. The most recent decade has seen increasing use of dental implants in the cleft region; however, the outcome of an immediately loaded dental implant is still elusive for orofacial cleft patients.

OBJECTIVE

This protocol is for a single-arm clinical trial aimed at determining the treatment outcome of immediately loaded dental implants in patients with a nonsyndromic orofacial cleft.

METHODS

Patients meeting the set criteria will be sequentially enrolled until a sample size of 30 dental implants is met and will undergo the proposed treatment according to the predecided protocol. All patients will be followed up at the designated time intervals to record various clinical and radiographic parameters. Implant success will be defined based on the criteria elucidated by Misch et al in the Pisa, Italy Consensus. A quality-of-life assessment questionnaire will also be recorded at the end of patient’s follow-up to determine their acceptance of the treatment.

RESULTS

A total of 30 dental implants will be placed in patients with a nonsyndromic orofacial cleft. Obtained results will be statistically analyzed to determine the treatment outcomes and success.

CONCLUSIONS

This study will help determine the feasibility of immediately loaded dental implants in compromised bone sites such as those presented in cleft patients and will help in generating findings that can be used to fill the lacunae currently present in the holistic treatment of cleft patients.

CLINICALTRIAL

Clinical Trial Registry of India CTRI/2020/09/027997; http://ctri.nic.in/Clinicaltrials/showallp.php?mid1=47659&EncHid=&userName=dental%20implants

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/25244
Assessing COVID-19–Related Knowledge, Attitudes, and Practices Among Hispanic Primary Care Patients: Protocol for a Cross-sectional Survey Study (Preprint)
Authors: Burger Zoe C , Mehta Shivani N , Ortiz Dayanna , Sor Sekboppa , Kothari Jigna , Lam Yvonne , Meka Meena , Meka Ajay , Rodwell Timothy
Published: October 2020

BACKGROUND

Recent epidemiological data indicate that minority groups, especially Hispanic communities, experience higher rates of infection, hospitalization, and death due to COVID-19. It is important to understand the nature of this health disparity and the socioeconomic or behavioral factors that are placing Hispanic communities and other minority populations at higher risk for morbidity and mortality.

OBJECTIVE

The purpose of this project is to assess current COVID-19–related knowledge, attitudes, and practices (KAP) among a predominantly Hispanic population from Orange County, California, and identify risk factors that may contribute to increased susceptibility and vulnerability to contracting SARS-CoV-2.

METHODS

Our Orange County–wide community survey consists of quantitative survey questions in four domains: demographic information, COVID-19 knowledge questions, COVID-19 attitude questions, and COVID-19 practices questions. The survey questions are adapted from recent global KAP studies. Participants are being recruited from Amistad Medical Clinic, a private primary health clinic group in Orange County that treats a predominantly Hispanic population. Patients recruited during telehealth visits are surveyed remotely by telephone, and those recruited during in-person clinic visits are surveyed in person. Surveys are conducted by trained members of the study team who are native to the community setting.

RESULTS

As of October 12, 2020, we had recruited and enrolled 327 participants. Data collection occurred June 26th to October 30th. Data analysis is ongoing.

CONCLUSIONS

Very few current COVID-19 studies focus on the perspective and experience of minority populations. Because Hispanic communities are disproportionately affected by COVID-19, it is important to understand the factors the contribute to this disparity and the next steps that should be taken to reduce the COVID-19 burden in this population. We believe that our study model of partnering with a local clinic system that serves our study population can be expanded to other settings to compare COVID-19 KAP and associated factors within different minority communities.

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/25265
Assessing the Determinants of Food Security Status in Bangladesh: A Micro-Econometric Analysis
Authors: Dev Tithy , Hossain Elias , Haghiri Morteza
Published: October 2020

Food security is an intricate issue which includes diverse aspects as well as many linkages. In Bangladesh, food security is tried to be achieved by increasing the production of rice both by employing modern agricultural technology as well as by increasing the area under rice production. Despite the impressive gains in increasing domestic food grain production, problems of food and nutrition security still remain. Bangladesh is yet to achieve comprehensive food security that resolves the problems of inadequate food intake and chronic malnutrition among those who are poor and vulnerable. The main objective of this paper is to the contribution of different factors behind household food security status of 180 households in three Northern districts of Bangladesh. The study area was chosen because relatively little energy consumption data are available concerning this geographical area. The study used both primary and secondary data. Food security status of each household was assessed on the basis of the food security line using the daily calorie intake recommended by FAO. This method has proven to be efficient in measuring food security at household level. Additionally, the use of a logistic regression model identified the factors that plays crucial role in determining the food security status of the households. Results from the food security index revealed that more than 60 percent of households were with food insecurity. In addition, we found that total monthly household income, age of household head, education level of household head, household size, farm size, gender of household head, livestock ownership and quantity of cereal production had significant influence on food security status at the household level.
Sul ruolo dell’ente nel contrasto alla corruzione: un moderno Atlante
Authors: Roscini-Vitali Riccardo , D’Acquarone Vittore
Published: October 2020

Lo scritto analizza il ruolo assegnato dal legislatore all’ente nella lotta alla corruzione, dedicando particolare attenzione alla previsione contenuta nel comma 5-bis dell’art. 25 (concussione, induzione indebita a dare o promettere utilità e corruzione) d. lgs. 8 giugno 2001, n. 231. Di questa disposizione si segnalano le criticità applicative di natura pratica e le loro principali cause, tra cui la crescente tendenza a sovraccaricare l’ente di oneri cooperativi non sufficientemente ricompensati, che, anche secondo una lettura costituzionalmente orientata, dovrebbero, quanto meno, essere egualmente ripartiti con le autorità pubbliche. La soluzione prospettata è quella raccomandata dal vertice G20 di Los Cabos (Messico) del 17 giugno 2012: elaborare un framework di riferimento chiaro e concreto che disciplini esattamente i presupposti, i termini e i vantaggi della cooperazione dell’ente nelle indagini dell’autorità giudiziaria, sì da garantire un equilibrato e accettabile bilanciamento tra efficienza preventivo-repressiva ed esigenze di libertà per l’ente e all’interno dell’ente.
Predicting Protein-Ligand Binding Site for Drug Design Using Context Relevant Self Organizing Maps (CRSOM)
Authors:   Universitas Negeri Surabaya, Imah Elly , Wulandari Antri ,   Universitas Negeri Surabaya
Published: October 2020

Research on binding sites has been done to find suitable ligands to treat a particular disease. The binding site is a pocket on the surface of the protein, which acts as a place to attach a ligand. In bioinformatics, searching for binding sites is applied to drug design problems. Currently, computer-aided drug design has been developed. In this study, the prediction of protein-ligand binding sites formulated as a binary classification, which is distinguish the location that has potential to binding the ligand and the location that has no potential to binding the ligand. The dataset that will be used in this research is taken from the RCSB Protein Data Bank of 14 proteins data. The classification method used in this research is Context Relevant Self Organizing Maps (CRSOM), where the CRSOM method gives higher accuracy results compared to Backpropagation and Deep Learning. Context Relevant Self Organizing Maps (CRSOM) is chosen as a supervised learning classification algorithm that has an optimal internal representation, where data belonging different classes are separated with wider margin, while data belonging to the same class are clustered closely to each other. Thus, CRSOM is able to visualize high-dimensional protein data into binding site and non-binding site classes significantly. The results of the study obtained an average training accuracy of 99,60%, testing accuracy of 96.26%, and the average test time of 28.63 seconds, the result is better than the predecessor.
Clustered Relay Node Placement for WSN through Metaheuristics Algorithm
Authors:   Osmania University, Amgoth Nageswar , Bhukya Rajendra ,   Osmania University, Lavadya Nirmala ,   Osmania University
Published: October 2020

In the field of Wireless Sensor Networks (WSNs), after the deployment of sensor nodes, transmission of data with an effective energy is becoming a critical issue due to the limited battery of sensor nodes. To solve this issue, most of the past developed approaches focused on the implementation of clustering in which the sensor nodes forward their data through Cluster Heads (CHs) to Base Station (BS). However, the main issue is to select an optimal CH or CHs such that every sensor node is ensured with at least one path to base station, directly, through CHs or through relay nodes. Towards this objective, we have proposed a new method called Multi-Objective Assisted Clustered Relay Node Placement (MOCRNP) to achieve improved energy efficiency along with an enhanced network lifespan. Firstly, to select the CH, the Multi-Objective Genetic Algorithm is introduced based on energy, distance and node density. Secondly, in the process of rely node placement, Multi-objective firefly algorithm is introduced and for this purpose, two constraints such as Coverage and Connectivity are considered. We have conducted several experimentations using several setups of the WSN and the performance is evaluated in terms of Network lifetime, average energy consumption, average residual energy, and throughput. On an average, the proposed approach has gained an improvement of 150 sec network lifetime, 104 Kbps Throughput when compared with state-of-art methods.
An Efficient Routing Protocol Using an Improved Distance-Based Broadcasting and Fuzzy Logic System for VANET
Authors:   Moulay Ismail University of Meknes, Kandali Khalid , Bennis Hamid ,   Moulay Ismail University of Meknes
Published: October 2020

The high mobility and frequent changes in the network topology remain a great divergence between Vehicular Ad-hoc Network (VANET) and Mobile Ad-hoc Network (MANET). This makes existing routing protocols for MANET imperfect for a VANET environment. In order to ensure good data transmission between vehicles, it is mandatory to improve these protocols to this new environment. Ad-hoc On-demand Distance Vector (AODV) is one of the most proposed reactive protocols in the literature for MANET, but its direct application in VANET returns poor performance results. In this paper, we propose an Efficient Routing Protocol using an improved Distance-Based Broadcasting and Fuzzy Logic System (ERPFL), which is an extension of the AODV routing protocol. In the first, the proposed scheme uses an improved Distance-Based Broadcasting method in route discovery process. Each vehicle selects the most suitable neighbours to send a route request, using different mobility parameters such as distance, velocity and direction. Then, the destination vehicle selects the best route from the most reliable routes received, using the Fuzzy Logic System. Link Expiration Time and Link Reliability Model are considered input metrics for this system. The simulation results show that ERPFL saves network bandwidth resources which contributes to a higher data transmission ratio. In addition, our proposed protocol efficiently distributes data packets, decreases the hop count and reduces network routing time.
A Combination of Block-Based Chaos with Dynamic Iteration Pattern and Stream Cipher for Color Image Encryption
Authors:   Dian Nuswantoro University, Budiman Fikri , Setiadi De ,   Dian Nuswantoro University
Published: October 2020

This research proposes an encryption method on images using a combination of chaotic methods, streams, and hash functions. SHA-1 is used as a hash function to encrypt key inputs to be more secure and can produce more dynamic keys at chaotic and stream encryption stages. Chaos encryption is done by dividing the image into small blocks where each encrypted block differs based on a dynamic key pattern based on chaotic keys. At the last stage, all blocks are made as whole images again to be encrypted by the stream method. Tests carried out on standard RGB images and Indonesian batik images. Encryption quality measurements using entropy, histogram analysis, UACI, NPCR, SSIM, PSNR, and the avalanche effect. Based on the results of trials the proposed method is proven to be resistant to various attacks such as statistics as evidenced by the average entropy value of 7.9996, avalanche effect value of 50.0366 and a relatively uniform histogram, while differential attack as evidenced by the value of UACI 33.5716 and NPCR 99.6082 where this value is very close to ideal. Also visually the results of the encryption look very chaotic and very different from the original image, which is evidenced by the value of PSNR 8.0191 and SSIM 0.0081. The decryption process can also be done perfectly wherein the resulting infinity value on PSNR and value 1 on SSIM.
VLSI Implementation of LFA based Median Filter with Noise Detection Architecture for EMG Denoising
Authors:   DonBosco Institute of Technology, Sharanabasappa Sharanabasappa , Babu Pallikonda ,   Sreenidhi Institute of Science and Technology
Published: October 2020

Noise Reduction with less computational time and resources of the signal is a major requirement in signal processing. In the real-world scenario, Electromyography (EMG) signals often affect by various noises. The EMG signal requires noise reduction to obtain an accurate diagnosis process. In this study, Ladner-Fischer Adder (LFA) based Median Filter (MF) architecture is used to remove the noise from the EMG signal. The noise evaluation process is included in this proposed method to eliminate the flicker noise from the signal. The proposed LFA-MF method is simulated in the Cadence RTL compiler and Xilinx tool to evaluate the performance in terms of power, delay and Look Up Table (LUT). The objective of this work is to design the noise detection structure to avoid the denoising process for all the samples. This helps to reduce the hardware resources of the entire median filter architecture. The simulation result of LFA-MF architecture showed that it has lower power consumption and delay in noise reduction. The LFA-MF architecture has a power consumption of 1006548 nW in 16-bit sample width, while the existing method has 1537940 nW power consumption.
Detecting Influential Users in a Trending Topic Community Using Link Analysis Approach
Authors:   University of Computer Studies, Oo Myat , Lwin May ,   University of Computer Studies
Published: October 2020

Social media has become a popular platform to post or share personal information, opinion, photos, videos, etc. Detection of influential users is a significant problem in information diffusion or propagation. Previous researches find influential users based on follower or retweet relationships and centrality measurement approaches. In this paper, influential users are detected by network topology that was obtained from communication relationships among users, link analysis approach, and user’s profile features. The proposed approach aims to detect trending topic influencers. Firstly, communication relationships namely retweet, mention, and reply between users in a trending topic are extracted and a trending topic graph is constructed. Secondly, influential users are detected using a link analysis approach combined with the ability of users’ profile features. The performance of the system can be proved to compare with influencer detection methods. The experimental result shows that the trending topic influencers can detect using the interaction relationships and user’s features.
MIMO Radar Array Antenna with Transmit-Receive Subarrays
Authors:   Universitas Borneo Tarakan, Tahcfulloh Syahfrizal
Published: October 2020

Unlike the PMIMO radar, the transmit-receive (Tx-Rx) subarrays MIMO (TRSM) radar uses overlaping subarrays in Tx and Rx array so that it simultaneously combines the main advantage of the phased array radar (PA) i.e., high directional coherent gain, and the main advantage of the MIMO radar i.e., high waveform diversity gain. This paper has derived the radar performance formula such that Tx-Rx gain and SINR. The approach aims to overcome the beam shape loss, increase the transmit-receive gain, minimize the maximum peak sidelobe levels, narrow the half power beamwidth, increase directivity, and increase signal-to-noise-plus-interference ratio (SINR). This radar's performance is compared to the PMIMO radar in various methods such as equal subarrays, unequal subarrays, and optimum partitioning, the PA radar, and the MIMO radar. The numerical simulation and evaluation results show that the proposed radar has several advantages such as lowest the peak sidelobe level, narrow the half power beamwidth, and high directivity, so it is very robust against interference effects. When compared to the OPPM radar, as representative of the best-performing radars, this radar has an average performance improvement of MPSLL, directivity, and HPBW which are 21.5 dB, 2 dB, and 0.45 deg, respectively.
Data Reduction for Optimizing Feature Selection in Modeling Intrusion Detection System
Authors:   Institut Teknologi Sepuluh Nopember, Iman Alif , Ahmad Tohari ,   Institut Teknologi Sepuluh Nopember
Published: October 2020

With the development and ease of access to internet networks, the potential for attacks and intrusions have increased. The intrusion detection system (IDS), an approach to overcome this problem, is grouped into two models: signature-based and anomaly-based. An anomaly-based IDS can be implemented by machine learning; one of the schemes in machine learning is data reduction. IDS datasets are usually obtained through a real-time process that has undefined proportional data. The purpose of data reduction is to speed up and optimize the process, improving accuracy, precision, and specifications. There are several methods to perform data reduction, one of which uses outlier detection techniques. Proper outlier detection has a positive impact on improving the classification results of machine learning. In this research, the outlier detection is done by a circle generated from the k -means clustering of all selected features. Two scenarios are designed for the evaluation: a circle generated from two points of the minimum and maximum cluster and median of all clusters. The formation of clusters conducted by k -means clustering determines the size and direction of the outlier circle so that it dynamically adjusts the distribution of data from the feature selection results. By employing the previous feature selection algorithms, the comparison is performed to evaluate the proposed method's performance. Our empirical results show that the second scenario can significantly improve the classification results in terms of accuracy, detection rate, and precision. The first and second experiments can increase the accuracy by 0.02%, and the third experiment is by 0.1%. The detection rate in the first, second, and third experiments increases by 0.01%, 0.02%, and 0.07. At the same time, precision increases by 0.04%, 0.02%, and 0.01%, correspondingly.
Cicada Swarm Optimization: A New Method for Optimizing Persistent Problems
Authors:   University of Technology, Akkar Hanan , Salman Sameem ,   University of Technology
Published: October 2020

This paper proposes a new meta-heuristic swarm optimization algorithm called Cicada Swarm Optimization (CISO) algorithm, which mimics the behavior of bio-inspired swarm optimization methods. The CISO algorithm is tested with 23 benchmark functions and taken two problems engineering design, pressure vessel problem and himmelblau’s problem. The performance of CISO algorithm is compared with meta-heuristic well-known and recently proposed algorithms (Cockroach Swarm Optimization (CSO), Grasshopper Optimization algorithm (GOA) and Particle Swarm Optimization (PSO)). The obtained results showed that the proposed algorithm succeeded in improving the test functions and solved engineering design problems that could not be improved by other algorithms according to the chosen parameters and the limits of the research space, also showed that CISO has a faster convergence with the minimum number of iterations and also have an accurate calculation efficiency Satisfactory compared to other optimization algorithms.
Robust Video Watermarking using Tchebichef Transform and Singular Value Decomposition on the Selected Frame Based YCbCr Color Space
Authors:   Dian Nuswantoro University, Setyono Andik , Setiadi De ,   Dian Nuswantoro University
Published: October 2020

Watermarking is a copyright authentication technique. This research proposes a robust watermarking method with a combination of Tchebichef transformation and singular value decomposition (SVD). To maintain imperceptibility, embedding is done on one of the selected frames. Frames are randomly selected to increase watermark security. Frame selection is based on two integer keys processed by a linear congruential generator (LCG). The selected frame is then converted to its color space from RGB to YCbCr. Y channel (luminance) was selected to be processed by Tchebichef transformation based on block 8 × 8, the coefficient 0.0 for each block of the transformed results was selected and collected on a matrix. This matrix is then transformed with SVD and a singular matrix is selected for watermark embedding, this method is done to increase robustness. Based on the test results, the imperceptibility value is very good with an average value of 50.952dB, based on the PSNR as a measuring tool. Whereas in the robustness aspect, a value of 0.927 is generated based on the results of the measurement of the correlation between the watermark and the original watermark, where these results are the average extraction results without and with various attacks.
Design Stable Controller for PUMA 560 Robot with PID and Sliding Mode Controller Based on PSO Algorithm
Authors:   University of Technology, Akkar Hanan , Haddad Suhad ,   University of Technology
Published: October 2020

The most significant challenge facing the researcher in the field of robotics is to control the robot manipulator with appropriate overall performance. This paper focuses mainly on the novel Intelligent Particle Swarm Optimization (PSO) algorithm that was used for optimizing and tuning the gain of conventional Proportional Integral Derivative (PID), and improve the parameters of dynamic design in Sliding Mode Control (SMC), which is considered a strong nonlinear controller for controlling highly nonlinear systems, particularly for multi-degree serial link robot manipulator. Additional modified Integral Sliding Mode Controller (ISMC) was implemented to the design of dynamic system with high control theory of sliding mode controller. Intelligent Particle Swarm Optimization (PSO) algorithm was introduced for developing the nonlinear controller. The algorithm demonstrates superior performance in determining the appropriate gains and parameters value in harmony with robot scheme dynamic layout in order to achieve suitable and stable nonlinear controller, besides reduce the chattering phenomenon. PUMA robot manipulator that was used as study case in this work, shows perfect result in step response, with acceptable steady state, and overshoot, besides, eliminating the disadvantage of chattering in conventional SMC. Matlab / Simulink presents to increase the speed of matrix calculation in forward, inverse kinematics and dynamic model of manipulator. Comparison was made between the proposed method with existing methods. Result shows that integral sliding mode with PSO (ISMC/PSO) gave best result for stable step response, minimum mean square error with best objective function, and stable torque.
Digital Vein Mapping Using Augmented Reality
Authors:   Benha University, Taha Mohamed , Ibrahim Mohamed ,   Benha University, Zayed Hala ,   Benha University
Published: October 2020

Vein detection is an important issue for the medical field. There are some commercial devices for detecting veins using infrared radiation. However, most of these commercial solutions are cost-prohibitive. Recently, veins detection has attracted much attention from research teams. The main focus is on developing real-time systems with low-cost hardware. Systems developed to reduce costs suffer from low frame rates. This, in turn, makes these systems not suitable for real-world applications. On the other hand, systems that use powerful processors to produce high frame rates suffer from high costs and a lack of mobility. In this paper, a real-time vein mapping prototype using augmented reality is proposed. The proposed prototype provides a compromised solution to produce high frame rates with a low-cost system. It consists of a USB camera attached to an Android smartphone used for real-time detection. Infrared radiation is employed to differentiate the veins using 20 Infrared Light Emitting Diodes (LEDs). The captured frames are processed to enhance vein detection using light computational algorithms to improve real-time processing and increase frame rate. Finally, the enhanced view of veins appears on the smartphone screen. Portability and economic cost are taken into consideration while developing the proposed prototype. The proposed prototype is tested with people of different ages and gender, as well as using mobile devices of different specifications. The results show a high vein detection rate and a high frame rate compared to other existing systems.
Enhancement Performance of Multiple Objects Detection and Tracking for Real-time and Online Applications
Authors:   University of Technology, Abdulghafoor Nuha , Abdullah Hadeel ,   University of Technology
Published: October 2020

Multi-object detection and tracking systems represent one of the basic and important tasks of surveillance and video traffic systems. Recently. The proposed tracking algorithms focused on the detection mechanism. It showed significant improvement in performance in the field of computer vision. Though. It faced many challenges and problems, such as many blockages and segmentation of paths, in addition to the increasing number of identification keys and false-positive paths. In this work, an algorithm was proposed that integrates information on appearance and visibility features to improve the tracker's performance. It enables us to track multiple objects throughout the video and for a longer period of clogging and buffer a number of ID switches. An effective and accurate data set, tools, and metrics were also used to measure the efficiency of the proposed algorithm. The experimental results show the great improvement in the performance of the tracker, with high accuracy of more than 65%, which achieves competitive performance with the existing algorithms.
Interrogating the notion of 'frock consciousness' through the practice of dressing and responding to dressed bodies
Authors: Jennifer Anyan
Published: October 2020

Within my practice as an artist that draws upon my professional experience as a fashion stylist, I have undertaken a broad range of practice-based projects in the last thirteen years that deal with the identity and dress. This exposition seeks to use Virginia Woolf’s notion of frock consciousness as a framework to demonstrate how each of the projects has contributed to a body of research that has enabled me to make a contribution to knowledge in terms of how the practice of dressing ourselves impacts upon one’s consciousness and experience of being in the world. Lisa Cohen in her essay "Frock Consciousness”: Virginia Woolf, the Open Secret, and the Language of Fashion (1999) reminds us that, whilst the idea of frock consciousness discussed by Woolf in her diary of 1925 might at first appear to be an oxymoron, one word concerned with coverings and the other a quality of mind, clothes “lie between what we understand to be public space (the social world at large), and what we consider private (the body of an individual)” (150:1999).
Perancangan dan Pembuatan Prototipe Robot sebagai Penggerak Ujung Peralatan Plasma Medicine untuk Perawatan Luka
Authors: Wirawan Hanan Adi
Published: October 2020

Plasma medicine adalah kajian baru yang bersifat multidisiplin yang berupaya menerapkan teknologi plasma untuk terapi kesehatan, seperti perawatan luka dan penyembuhan kanker. Pada saat ini plasma medicine penggunaanya masih berbasis manual yang pengoperasiannya mempunyai resiko tinggi pada manusia sebagai operator mesin. Penelitian ini bertujuan untuk merancang sebuah alat yang mampu menggerakan plasma medicine secara otomoatis dengan pengendali jarak jauh untuk mengurangi resiko kecelakaan kelistrikan pada operator manusia. Alat ini menggunakan konsep pada mesin cnc, drawing machine, dan axidraw yang di gerakan dengan 2 motor stepper nema 17 dan dikendalikan oleh komputer melalui arduino uno, lalu plasma medicine ditempatkan pada ujung alat ini. Diharapkan plasma medicine dapat digerakan secara leluasa dan menghasilkan hasil yang lebih optimal.
Sistem Administrasi Desa Mendiro Kecamatan Ngrambe Kabupaten Ngawi berbasis Web
Authors: Rahmawati Annisa Dwi , Fatmawati Azizah
Published: October 2020

Administrasi merupakan suatu kegiatan pengelolaan, pengumpulan dan pelaporan data yang berupa pembukuan, ketik mengetik, pemaparan agenda dan surat-menyurat. Proses pembuatan surat menyurat yang masih manual merupakan salah satu permasalahan yang ada dalam instansi pemerintahan desa. Pembuatan surat dengan menggunakan aplikasi Microsoft Office memiliki beberapa kelemahan seperti tenaga perangkat desa yang tidak semua mempunyai kemampuan dalam pembuatan surat menyurat. Hal itu akan berakibat format surat berubah-ubah sesuai dengan kemampuan tenaga perangkat desa yang membuat, serta berdampak pada ketidakakuratan pencatatan data surat yang ada.  Selain itu dibandingkan dengan tenaga administrasi yang lain, pada umumnya kemampuan IT tenaga perangkat desa masih dibawah rata-rata. Tujuan penelitian ini adalah untuk mengambangkan sistem administrasi desa di Desa Mendiro. Adapun metode yang digunakan adalah SDLC (System Development Life Cycle) dengan pendekatan waterfall. Tahapan dari metode tersebut meliputi perencanaan sistem, analisis sistem, perancangan sistem, implementasi sistem, dan pemeliharaan sistem. Pembangunan sistem administrasi desa ini menggunakan beberapa bahasa dan plugin, serta menggunakan framework codeigniter. Hasil yang diharapkan dari penelitian ini berupa sistem administrasi desa berbasis web yang dapat mengatasi masalah di instansi pemerintahan desa yang masih manual, terutama dalam pembuatan surat menyurat, perekapan, dan pembuatan laporan surat, serta dapat mempercepat pencarian data yang ada.
Automatic Safety Electronic Saving Box
Authors: Fikri Khairul , Fadlillah Umi
Published: October 2020

In this modern era, many people save valuable items in their house, such as assets (jewelry and money) and important files. Therefore, saving box is the right and effective choice for protecting important goods if robbery or fire occurs someday. This final project is designing a saving box using different system than the general. The design of this system consists of several parts such as Wemos, D1 R1 (ESP8266), telegram, temperature sensor (DS18B20), keypad, power supply, android, buzzer and LCD. In this design, users are able to access (open) the saving box easily, such as entering the code into the keypad and controlling the saving box through an Android-based smartphone with the internet of things method, therefore by this method users can enter the code in any range both far or near. Then if a safe box gets robbery, the system will send a message to user. Meanwhile if fire occurs, the temperature sensor will detect it and also send a message to user. This design is expected to fulfill user’s need of a safer saving box.
Determining the Standard of Quality: Examining the Turkish University Ranking Systems According to the Berlin Principles
Authors: Karadağ Engin , Belenkuyu Cüneyt
Published: October 2020

The increasing competitive environment arising from the commercialization and internationalization of higher education (HE) and the increasing influence of the liberal character of educational policies have led to the emergence of HE ranking systems which have become an inevitable part of HE with the effect they have created. The lack of unambiguous methodological processes is one of the oft-cited critical problems in the HE ranking system literature. These systems vary due to the particular methods they adopt in creating their ranking results. This variation requires a set of principles on how best to perform these rankings. The principles established under Berlin Principles in 2006 aimed to address this need. This study aims to determine to what extent Turkish ranking systems comply with the basic tenets determined in the Berlin Principles. The study was designed as a methodological assessment study and the data were obtained from the websites and printed and electronic publications related to Turkish ranking systems. The data obtained were scored according to an evaluation form consisting of the tenets set out in the Berlin Principles. The findings show that the majority of the Turkish university ranking systems were not designed to be fully compliant with the Berlin Principles and instead they evaluate HE institutions by their research approach and quality definitions.
Dissection of a Singularity: The Impact of COVID-19 on Aviation
Authors: Sun Xiaoqian , Wandelt Sebastian , Zhang Anming
Published: October 2020

The current outbreak of COVID-19 is an unprecedented event in air transportation. In this study, we investigate the impact of COVID-19 on global air transportation through the lens of complex networks different at different scales, ranging from worldwide airport networks where airports are nodes and links between airports exist when direct flights exist, to international country networks where countries are contracted as nodes, and to domestic airport networks for representative countries/regions. We focus on the spatial-temporal evolutionary dynamics of COVID-19 in air transportation networks, discovering hidden patterns on flight frequency reduction. Our study provides a comprehensive empirical analysis on the impact of the COVID-19 pandemic on aviation from a complex system perspective.
Cornwallis and Hampshire
Authors: Jolly Barry
Published: October 2020

Admiral the Hon. Sir William Cornwallis is the most distinguished person to have lived in Milford (now Milford-on-Sea), Hampshire. This article traces his career before he settled in Milford in 1800 at the age of 56, reviews his relationship with Captain John Whitby and his widow, and
examines the impact that he and the beneficiaries of his estate had on that village over the ensuing century.
Neurociencias, neoliberalismo y educación
Authors: Cruz Jean , O´keeffe Santiago
Published: October 2020

El presente artículo analiza desde el campo de comunicación y educación el proyecto neurocientífico que pretendió prevalecer en las políticas educativas durante el gobierno de Cambiemos 2015-2019. Un proyecto que fue caracterizado por su reduccionismo epistemológico y una concepción biopolítica de la sociedad, el cual empleó técnicas biologicistas para vincular la neurociencia con la educación. A partir de una metodología cualitativa, este artículo analiza las lógicas mercantiles y empresariales que sustentan la condición neurocientífica hegemónica en distintos espacios comunicacionales y educativos. A ello apunta este artículo, a problematizar la subjetividad empresarial y a revelar las contradicciones que presenta el modelo neoliberal con las políticas educativas.
Confinamientos y temporalidades
Authors: Cristiano Javier Luis
Published: October 2020

El artículo presenta los primeros resultados de una investigación exploratoria acerca del modo en que el aislamiento obligatorio por el Covid-19 afectó los usos y las experiencias del tiempo. El supuesto central es que el detenimiento súbito de millones de rutinas, y el confinamiento de buena parte de las actividades al ámbito doméstico, ofrecieron una ocasión inédita para dilucidar tanto aspectos corrientes de la experiencia temporal como aspectos específicos de esta situación en particular. El trabajo se basa en entrevistas realizadas en la ciudad de Córdoba entre fines de abril y fines de mayo de 2020, cuando el Aislamiento Social Obligatorio atravesaba el segundo de sus casi tres meses de duración plena. Se exponen primero los lineamientos conceptuales y metodológicos, se presentan luego los principales resultados y se elaboran, en las conclusiones, algunas implicancias teóricas.
Discurso y comunicación para el desarrollo
Authors: Vazquez Bonne Yamila , Nápoles Fernández Lourdes María , Pérez  Ramos Yusleidy
Published: October 2020

El artículo plantea un dialogo entre las concepciones de prácticas discursivas y el campo de investigación de la comunicación para el desarrollo, tomando como contexto la actual situación de la COVID-19 en Cuba y como proyección de futuro en función de contribuir a solventar las problemáticas derivadas de esta problemática. Partiendo del análisis de un grupo de investigaciones de la Facultad de Comunicación de la Universidad de La Habana, se reflexiona en torno a los aportes epistemológicos, teóricos, metodológicos y prácticos de un acercamiento a la investigación de la comunicación para el desarrollo desde los aportes de los estudios del discurso.
Formación política en movimientos populares urbanos
Authors: Bruno Daniela Paola , Palumbo María Mercedes , Velázquez Eliud Torres
Published: October 2020

Fruto del diálogo entre tres investigadores abocados al estudio de la formación en movimientos populares en Argentina y México, este artículo se propone analizar talleres de formación política. Mediante un ejercicio de comparación, procuramos una construcción dialógica de preguntas comunes, desde las cuales interrogar cada proceso de formación, antes que establecer variables de semejanza y variabilidad entre casos. Consideramos relevante abordar tres dimensiones de la formación política: las subjetividades que se busca construir, los saberes en juego, y las contribuciones a la totalidad de los movimientos.
Cultura visual, Lengua y Literatura: territorios en común
Authors: Gagliardi Lucas
Published: October 2020

En este trabajo revisamos las vinculaciones entre la enseñanza de la lengua y la literatura y el cuerpo de saberes que aborda la cultura visual. A partir de un breve repaso histórico de estas relaciones en el marco del sistema educativo argentino y un análisis de las directivas curriculares vigentes, propo­nemos una serie de ejes organizadores del trabajo docente para articular los conocimientos disciplinares en el marco de propuestas didácticas: la denotación/connotación, la estereotipia, la intertextualidad, la paratextualidad y la enunciación y retórica.
Espacio de Acompañamiento Institucional en Música
Authors: Segalerba María Guadalupe
Published: October 2020

Nuestro tema de interés es el estudio del alumno como sujeto de aprendizaje, especialmente en los casos de dificultades que no llegan a resolverse en las clases grupales y considerando tanto la práctica como la cognición musical. Observamos que estas dificultades producen preocupaciones e inquietudes y suelen teñir con desvalorización las propias percepciones del estudiante sobre sí mismo. Desde un espacio institucional acompañamos cada una de estas trayectorias educativas en los momentos de mayor dificultad, colaborando con los profesores del Campo de la Formación Específica para fortalecer la construcción de un aprendizaje musical que incluye y prioriza la esfera afectiva.
La interpretación musical
Authors: Gasparini Diana Inés , Martínez Gabriela
Published: October 2020

Nuestra propuesta se centra en abordar, desde la interpretación, contenidos de las diferentes asignaturas curriculares del Bachillerato de Bellas Artes  que confluyan, a modo de síntesis, en puestas en acto de competencias comunicativas y que éstas mismas puedan transformarse en “contenidos aplicados”, concretos y entendibles. La interpretación se enfoca entonces como una experiencia donde se concentran distintos saberes. Mediante la vivencia de ella, se pretende generar nuevos espacios de integración y divulgación que favorezcan a la construcción cognitiva.
Didáctica ELSE para la enseñanza de la lengua materna
Authors: Niemelä Paula Cristina
Published: October 2020

Este proyecto se propuso demostrar que es posible enseñar la lengua materna mediante las estrategias que se utilizan en la enseñanza del Español como Lengua Segunda y Extranjera (ELSE). Para eso, se realizó un relevamiento bibliográfico dentro de las líneas de reflexión más actualizadas sobre el tema, a partir del cual se podrán unificar los criterios de enseñanza de Lengua y Producción de Textos en el colegio. También se revisaron las prácticas docentes y se reformularon las actividades de la secundaria básica. Queda pendiente la puesta a prueba de las actividades en el aula, a fin de evaluar sus resultados.
Lengua 3º año. Reflexión lingüística. Actividades de escritura (2020). Departamento de Lenguas y Literatura. La Plata: edición BBA. Universidad Nacional de La Plata. 81 páginas
Authors: Escudier María Alejandra , Niemelä Paula Cristina
Published: October 2020

Reseña del cuadernillo Lengua 3º año. Reflexión lingüística. Actividades de escritura.