bluuebunny/crossref_metadata_2025 huggingface dataset:
Protecting Coastlines from Flooding in a Changing Climate: A Preliminary Experimental Study to Investigate a Sustainable Approach
Authors: Rubinato Matteo , Heyworth Jacob , Hart James
Published: September 2020

Rising sea levels are causing more frequent flooding events in coastal areas and generate many issues for coastal communities such as loss of property or damages to infrastructures. To address this issue, this paper reviews measures currently in place and identifies possible control measures that can be implemented to aid preservation of coastlines in the future. Breakwaters present a unique opportunity to proactively address the impact of coastal flooding. However, there is currently a lack of research into combined hard and soft engineering techniques. To address the global need for developing sustainable solutions, three specific breakwater configurations were designed and experimentally compared in the hydraulic laboratory at Coventry University to assess their performance in reducing overtopping and the impact of waves, quantifying the effectiveness of each. The investigation confirmed that stepped configurations work effectively in high amplitudes waves, especially with the presence of a slope angle to aid wave reflection. These results provide a very valuable preliminary investigation into novel sustainable solutions incorporating both artificial and natural based strategies that could be considered by local and national authorities for the planning of future mitigation strategies to defend coastal areas from flooding and erosion.
Factors Controlling of Thermal Water Hydrogeochemical Characteristics in Tatun Volcano Group, Taiwan
Authors: Hsu Hung-Hsiang , Yeh Hsin-Fu
Published: September 2020

The Tatun geothermal system is located in Northern Taiwan and is hosted by the Tatun volcano group (TVG). The variation in the geochemical composition of thermal waters is considered to be an important indicator of volcanic activity. In this study, we analyzed the chemical and isotopic compositions of hot springs in the TVG. A chemical and multicomponent geothermometer was used to estimate the reservoir temperature, and hydrogen and oxygen isotopes were used to determine the source of the thermal water. The presence of thick andesite and fractures allowed the formation of different type of springs in the center close each other with lower temperatures and acidic springs with higher temperatures at the northeast and southwest sides of the Tatun geothermal field. The saturation index showed that the concentration of SiO2 in the thermal water was controlled by quartz. The multicomponent geothermometer indicated a reservoir temperature between 130 °C and 190 °C, and the geothermal water in Longfengku, Lengshniken, Matsao and Szehuangping may have mixed with shallow groundwater. Isotope data indicated that the stream water and groundwater originated from meteoric water, and the spring water showed a significant oxygen shift, due to water–rock interaction and evaporation. The isotopes of the fluid in the TVG are also affected by the seasonal monsoon. These results can serve as a reference for designing a conceptual model of the spring in the Tatun geothermal system.
Dynamics of milk productivity of cows of Black-and-White breed by lactations
Authors: Kostomakhin N. , Voronkova O. , Gabedava M. , Ermoshyna E.
Published: September 2020

The age of cow use is of big importance for the practice of dairy farming, since earlier culling of cows leads to a lack of milk, and later culling leads to the decrease in genetic progress. The purpose of the researches was to determine the dynamics of milk productivity of cows of Black-and-White breed by lactations. The researches have been carried out in the OJSC Breeding Farm “Oktyabrsky” in the Ferzikovsky district in the Kaluga region, where cattle of Black-and-White breed are bred. The object of researches was the breeding stock of Black-and-White cattle that had been lactating for five lactations. It has been found that the increase in milk yield occurred from I to IV lactation. For example, first-calf heifers had 6154,9 kg of milk yield and were statistically significantly inferior to cows of II lactation by 242,8 kg (P < 0,001) or by 3,9 %. The superiority of cows of III lactation over first-calf heifers in milk yield was 466,2 kg (P < 0,001) or 7,6 %. The maximum differences in milk yield between first-calf heifers and cows IV lactation were 704,8 kg (P < 0,001) or 11,5 %. Cows of V lactation also significantly outperformed of fi rst-calf heifers in milk yield by 381,6 kg (P < 0,01) or 6,2 %, but their milk yield was lower than that of cows during III and IV lactation. It has been revealed in the course of research that cows of all the studied lactations were characterized by sufficiently high milk productivity for cattle of Black-and-White breed. There was the increase in milk yield with the age of animals. The increase in milk yields dynamically occurs till IV lactation, and then their decrease is observed.
The use of sugar sorghum in the diets of broiler chickens
Authors: Selina T. , Yadrishchenskaya O. , Shpynova S. , Basova E.
Published: September 2020

In order to ensure high productivity of poultry compound feeds are required. However, their production is limited by the lack of high-energy and protein feed in the country. In recent years, many farms are increasingly using the reserve of intensification of feed production, such as the cultivation of new and sparsely distributed forage crops. In this regard, more and more attention is drawn to sugar sorghum, which has received a high rating not only as a productive and drought-resistant crop, but also as the culture that has excellent feed qualities. The results of studying the influence of compound feed with sugar sorghum seeds on zootechnical, physiological and economic indicators when raising broiler chickens have been presented in the article. The researches have been carried out on broiler chickens from the age of one day to 42 days. Two groups of broiler chickens have been formed (control and experimental) per 50 heads in each to conduct the experiment. It has been found during the researches that when input in structure of the diet of 30 % of sugar sorghum the increase of live weight of broilers by 4,16 %, the average daily feed intake 2,82 %, and reduced expenditures of feed per 1 kg of daily gain by 1,67 %. The use of experimental compound feed has increased the digestibility of nutrients by broiler chickens: raw protein by 0,48 %, raw fat by 2,50 %, and raw fiber by 4,93 %. It has been found on the base of the results of anatomical cutting of broiler chicken carcasses that the experimental group contained more edible parts and muscles compared to the control group. The level of profitability of broiler meat production in the experimental group has exceeded the indicator of the control group by 5,4 %.
Survey of Clinician Opinions on Kidney Transplantation from Hepatitis C Virus Positive Donors: Identifying and Overcoming Barriers
Authors: Lentine Krista L. , Peipert John D. , Alhamad Tarek , Caliskan Yasar , Concepcion Beatrice P. , Forbes Rachel , Schnitzler Mark , Chang Su-Hsin , Cooper Matthew , Bloom Roy D. , Mannon Roslyn B. , Axelrod David A.
Published: September 2020

Background

Transplant practices related to use of organs from hepatitis C virus–infected donors (DHCV+) is evolving rapidly.

Methods

We surveyed US kidney transplant programs by email and professional society LISTSERV postings between July 2019 and January 2020 to assess attitudes, management strategies, and barriers related to use of viremic (nucleic acid testing positive [NAT+]) donor organs in recipients who are not infected with HCV.

Results

Staff at 112 unique programs responded, representing 54% of US adult kidney transplant programs and 69% of adult deceased donor kidney transplant volume in 2019. Most survey respondents were transplant nephrologists (46%) or surgeons (43%). Among the responding programs, 67% currently transplant DHCV antibody+/NAT− organs under a clinical protocol or as standard of care. By comparison, only 58% offer DHCV NAT+ kidney transplant to recipients who are HCV−, including 35% under clinical protocols, 14% as standard of care, and 9% under research protocols. After transplant of DHCV NAT+ organs to recipients who are uninfected, 53% start direct-acting antiviral agent (DAA) therapy after discharge and documented viremia. Viral monitoring protocols after DHCV NAT+ to HCV uninfected recipient kidney transplantation varied substantially. 56% of programs performing these transplants report having an institutional plan to provide DAA treatment if declined by the recipient’s insurance. Respondents felt a mean decrease in waiting time of ≥18 months (range, 0–60) justifies the practice. Program concerns related to use of DHCV NAT+ kidneys include insurance coverage concerns (72%), cost (60%), and perceived risk of transmitting resistant infection (44%).

Conclusions

Addressing knowledge about safety and logistic/financial barriers related to use of DHCV NAT+ kidney transplantation for recipients who are not infected with HCV may help reduce discards and expand the organ supply.

Podcast

This article contains a podcast at https://www.asn-online.org/media/podcast/K360/2020_11_25_KID0004592020.mp3
Online customized T-shirt design and evaluation of online websites
for customization
Authors: ÖZBEK AHMET
Published: September 2020

Customized clothing manufacturing is a clothing manufacturing method realized and performed in collaboration between
the manufacturer and the customer. In this manufacturing method, the customer is offered a basic piece of clothing and
various options (fabric, model, color, style, accessories, printing on clothing, etc.) so that the customer can modify the
clothing and design the most suitable garment. Thanks to this manufacturing method, the customer has the opportunity
to purchase the most appropriate personalized clothing while, at the same time, the manufacturer achieves a high profit
margin by making a customized product. Customized clothing production is an important method in the industry because
it increases both the profit margin of the enterprises and the level of customer satisfaction. Although it is not yet a very
common method, it is expected that it will become widespread in the future with technological developments. Within the
framework of this study, we focused on online customized T-shirt manufacturing. The study was carried out in three
stages. In the first stage, the design options that young consumers prefer and/or need for online customized T-shirt
design were determined. In the second stage, websites that perform the manufacturing of customized T-shirt that are
available online in Turkey were determined. In the third stage, online T-shirt design options determined in the first stage
were presented to the customers by the websites determined during the second stage. According to the assessment,
customized T-shirt design websites active in Turkey were found to be adequate in terms of the “design with respect to
body sizes” option. In addition, some design options that online personalized T-shirt design websites intend to offer
change according to the gender and education of young consumers.
Metode Wavelet-MFCC dan Korelasi dalam Pengenalan Suara Digit
Authors: Dyarbirru Zaurarista , Hidayat Syahroni
Published: September 2020

Voice is the sound emitted from living things. With the development of Automatic Speech Recognition (ASR) technology, voice can be used to make it easier for humans to do something. In the ASR extraction process the features have an important role in the recognition process. The feature extraction methods that are commonly applied to ASR are MFCC and Wavelet. Each of them has advantages and disadvantages. Therefore, this study will combine the wavelet feature extraction method and MFCC to maximize the existing advantages. The proposed method is called Wavelet-MFCC. Voice recognition method that does not use recommendations. Determination of system performance using the Word Recoginition Rate (WRR) method which is validated with the K-Fold Cross Validation with the number of folds is 5. The research dataset used is voice recording digits 0-9 in English. The results show that the digit speech recognition system that has been built gives the highest average value of 63% for digit 4 using wavelet daubechies DB3 and wavelet dyadic transform method. As for the comparison results of the wavelet decomposition method used, that the use of dyadic wavelet transformation is better than the wavelet package.
The Effect of Integrated Safety Intervention Practices on Applicant Safety Behavior at PT Esa Bumindo
Authors:   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia., Tsani Asep Abdurahman , Marchziany Jeremy Rizky ,   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia., Hapsara Yudhistira Dwi ,   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia., Hamali Sambudi ,   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia.
Published: September 2020

The purpose of this study was to determine the effect of management safety interventions, human safety interventions, technical safety interventions on safety behavior. The research method used is a quantitative method, with the type of causal research. Data collection was done by distributing questionnaires to all employees of PT. Esa Bumindo a total of 50 people. Data analysis method using SEM-PLS with WarpPLS 6.0 software. The results obtained from this study are management interventions affecting technical safety interventions, human safety interventions, and safety behaviors. Human safety interventions affect technical safety interventions and safety behavior. Technical safety interventions affect safety behavior. The results of this study indicate that to improve safety behavior, managers must improve management, human, and technical safety interventions.
Fundus Image Analysis to Detect Abnormalities in Diabetic Retinopathy using Computer Aided Design Tools A Review
Authors:   Department of ECE, NBKRIST/Research Scholar, VIT, Vellore, India., Lavanya R. , Rajini G. K. ,   Department of Instrumentation, VIT, School of Electrical Engineering, Vellore, India.
Published: September 2020

Diabetic retinopathy is becoming a major threat to visual loss in human beings. Many researchers are working to develop early detection techniques, which may reduce the risk of vision loss using image-processing techniques like image enhancement and segmentation. Improving the quality of medical images to detect the disease at an early stage is crucial for further medication. It is gaining more focus with automated techniques for machine learning. Filtering and morphological operators enhance image contrast and interested region can be extracted using segmentation techniques from the fundus image of the retina. For feature analysis the optical disk, localization of blood vessels and segmentation are very useful to observe the parameters like area, length and perimeter of blood vessels etc. Algorithms for this analysis include preprocessing, segmentation, feature extraction and classification. This paper tries to give a detailed review of various image-processing methods used in early detection of diabetic retinopathy and future insights to develop algorithms, which reduces clinician’s time for diagnosis and pathogenesis.
Use of Appropriate Loss Function in Rainfall Prediction using Deep Learning
Authors:   College of Agriculture, NAU, Waghai, Dangs, Gujarat, India, Patel Vimal B. , Morena R.D. ,   Department of Computer Science, Veer Narmad South Gujarat University, Surat, Gujarat, India
Published: September 2020

India is an agricultural country, and rainfall is the main source of irrigation for agriculture. Prediction of rainfall is very crucial for farmers to make decisions. In this research paper, the prediction model has been developed through deep learning using historical data of 10 years of rainfall. A deep learning approach used Keras API with an artificial neural network technique to predict the daily rainfall. The prediction model has been assessed by four-loss function, i.e., MSE, MAE, Hinge, and Binary Cross-Entropy.
Hand Gesture Controlled Robot Arm
Authors:   Assistant Professor, Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India., S Elam Cheren. , S Madhubala. ,   UG Scholar, Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, C Pradeepa. ,   UG Scholar, Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, M Poovitha. ,   UG Scholar, Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, B Madumitha. ,   UG Scholar, Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India
Published: September 2020

Robotic Arms are generally a programmable type of mechanical arm with functions similar to human arm which is either the sum of total mechanism or may be a complex robot part. These robotic arms are employed in assembly line of industries performing complex process like drilling, painting and painting etc. It is possible to fabricate gesture controlled Industrial robot arms. The robot is easily accessible and requires lesser controlling effects. In this work a glove attached to human hand is incorporated with flex sensors and transceiver. The flex sensor resistance can be varied by hand movement which is transferred to the axis of robot. The resistance of glove can make robot rotate either angular or in a linear motion about its axis. A transceiver circuit is employed for signal control which is capable of transmitting and receiving signal between human hand and robotic arm.The flex sensor senses and gives corresponding signals. The analog signal from the flex sensor given to Arduino, it will work according to the Arduino program. The signal is transmitted from Arduino to Zigbee for wireless communication. The driver circuit put together with transistor to control the relay. The relay output is connected directly to motor joined with the robot. With this arrangement arm can be used for pick and place application. The robotic arm delivers the programmed movement and the proposed model have widespread application for people working in hazardous areas.
Evaluating Optimum Strength of Geopolymer Concrete using Quarry Rock Dust with Inclusion of Natural and Hybrid Fibers Under Ambient Curing
Authors:   Associate Professor and HOD, Department of Civil Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamil Nadu, India., Kavipriya S. , Gowtham S. ,   Assistant Professor, Department of Civil Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamil Nadu, India., Kannan S. ,   Assistant Professor, Department of Civil Engineering, Kongunadu College of Engineering and Technology, Thottiam, Tamil Nadu, India
Published: September 2020

Conventionally used cement –a primary binder also a necessitate element in producing concrete rates first in the construction industry. Production of conventional cement requires a greater skill and is energy intensive. The usage of waste materials in the production of concrete and reduction in cement content was only the possible alternative in the past decade. Associated risks with the production of Ordinary Portland Cement are well known. A greener aided with a natural friendly claim can be made only with the usage of the waste materials and reduction in evolving respiration gas to the atmosphere. Almost all works are carried out using source material fly ash, with fine aggregate and coarse aggregate. Concrete plays a vital role in the construction industry and on the other hand, river sand; one of the essential material has become very expensive which is a scarce material. Depletion of sand is a hectic issue due to increased usage of sand in construction. No other replacement materials such as quarry rock dust is not concentrated in casting geopolymer specimens. Even though in some research papers the replacement materials are added only in partial replacement without aiming on 100% replacement. Many researches mainly focus towards test results of GPC specimens using steel fibers, glass fibers. But the study related to natural fibers and hybrid fibers are found scarce. The main part of this work aimed at characterizing the engineering strength properties of geopolymer concrete by 100% replacement of fine aggregate with quarry rock dust. Hence, combination of flyash and quarry rock dust in GPC have been considered for evaluating the mechanical properties of geopolymer concrete. Also, investigation focuses on incorporation of three different fibers namely polypropylene fibers(PF), coir fibers(CF) and hybrid fibers(HF) in different percentage of proportions such as 0.5%,1%,and 1.5% to determine the maximum strength properties of GPC.
Impact of Meteorological Drought in Upper Blue Nile Basin on the Hydrological Drought of Nile River in Egypt
Authors:   Natural Resources Department, Faculty of African Postgraduate Studies, Cairo University, Egypt., Mabrouk Eman H , Moursy Fawzia I ,   Natural Resourcs Department, Faculty of African Postgraduate Studies, Cairo University, Egypt., Mohamed Mostafa A ,   Natural Resources Department, Facultiy of African Postgraduate Studies, Cairo University, Egypt., Omar Mohie El Din M ,   National Water Research Center (NWRC), Cairo, Egypt.
Published: September 2020

Precipitation over the Upper Blue Nile Basin in Ethiopia contributes with 85% of the Nile river which provides 93% of Egypt’s conventional water resources. This study aims at assessing the meteorological drought in different locations in the Upper Blue Nile Basin and their relationship with the hydrological drought of Nile river in Egypt. The metrological drought was calculated by the Standard Precipitation Index (SPI) at five stations inside and close to the Upper Blue Nile Basin in Ethiopia, whereas the hydrological drought was calculated by the Streamflow Drought Index (SDI) at Dongola station at Nasser lake entrance. Both indices were calculated using the Drought Indices Calculator (DrinC) software. The selected study period was from 1973 to 2017 based on the availability of recorded data for meteorological stations in Ethiopia, and the streamflow for Dongola station. The data was categorized for each station by considering time periods of 1, 3, 6, 9, and 12 months based on their homogeneity. The correlation between SPI and SDI was evaluated using the Pearson correlation coefficient. The results showed a correlation between SPI for the five stations in the Upper Blue Nile Basin and SDI for Dongola station, where Gore station represented the highest frequency of significance at different time scales especially at the 3-months’ scale. The results confirm the relationship between SPI at Gore Station and SDI at Dongola Station, which means that the hydrological drought in Egypt is highly affected by the meteorological drought in the area surrounding Gore station. The paper recommends improving techniques for monitoring and overseeing drought hazards and assessing more meteorological stations to accurately predict climate change variations in Upper Blue Nile Basin and its effect on Egypt’s water resources.
Evaluating Various Portfolio Optimization Strategies using High-Dimensional Covariance Matrix Estimators
Authors:   Department of Computer Science Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India., Sharma Ruchir
Published: September 2020

We compare the performance of multiple covariance matrix estimators for the purpose of portfolio optimization. This evaluation studies the ability of estimators like Sample Based Estimator (SCE), Ledoit-Wolf Estimator (LWE), and Rotationally Invariant Estimators (RIE) to estimate covariance matrix and their competency in fulfilling the objectives of various portfolio allocation strategies. In this paper, we have captured the effectiveness of strategies such as Global Minimum Variance (GMVP) and Most-Diversified Portfolio (MDP) to produce optimal portfolios. Additionally, we also propose a new strategy inspired from MDP: Most-Diversified Portfolio (MMDP), that enables diversification upon minimizing risk. Empirical evaluations show that by and large, MMDP furnishes the maximum returns. LWE are relatively more robust than SCE and RIE but RIE performs better under certain conditions.
Developing Expert System for Soil Stabilization under Flexible Pavement
Authors:   Civil Engineering, University of Technology, Baghdad, Iraq, Mahmood Mahmood R. , Shubber Ammar A. M. ,   Civil Engineering, University of Technology, Baghdad, Iraq, Maryoosh Asaad Hamdan ,   Civil Engineering, University of Technology, Baghdad, Iraq.
Published: September 2020

Experts are, generally, busy and few in number. Getting them to work any time and in several locations is difficult, if not impossible, and requires time, cost and stress. Soil stabilization and modification represent an excellent domain for the development of an expert system, which contains a knowledge base of heuristic rules about types and remedies of stabilization. Thus, an Expert system program is a suitable solution together with the all the unpublished knowledge of the experts and combine it into a single accessible program, which could come in handy whenever a novice, student or practitioner engineer need it. The knowledge is extracted from literatures, questionnaire form and interviews with senior pavement engineers (expert), who have long expertise in flexible pavement engineering, especially in stabilization. The knowledge is then represented in knowledge base and encodes to be suitably entered in expert system builder shell (ES BUILDER). The system after being developed is have then to be evaluated by the experts and the users, to evaluate its efficiency and to recommend improvements and offer suggestions to improve the user interface. The overall commands after the evaluation stated that the software was very favorable. The users were very impressed by the system and it's efficient and solutions for the soil stabilization.
Assessment of Response Reduction Factor of Flat Slab Structures by Pushover Analysis
Authors:   Professor, School of Civil Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, India, Balate Ajinkya M. , Patil H. R. Magar ,   M.Tech., Department of Structural Engineering, Maharashtra Institute of Technology, World Peace University, Pune, India.
Published: September 2020

India is rapidly developing in every aspect now. As a result of which number of smart cities are now arising. while building such smart cities major role is played by infrastructural development. In this infrastructures, speedy and economical constructions are expected to make them more effective. Among such effective construction systems, Flat slab system is the one and is being widely applied on large scale. Flat slabs are thin solid reinforced concrete slabs which are supported directly by columns without beams. Flat slab system is now well adopted for constructions of high rise multi- storied commercial, residential, institutional buildings. They have adventitious constructive, architectural and economical features including easier formwork, speed of construction, spaciousness, etc. The purpose of this project is to study the seismic behavior of Flat Slab Structure for different seismic zones by assessment of Response Reduction Factor using Pushover analysis. Response reduction factor is the factor by which intensity of seismic waves produced during earthquake (maximum elastic base shear) can be reduced to calculate the design base shear. In the project parameters such as base shear, shear and bending stresses and deflection check in flat slab structure are examined by using ETABS Software.
A Detailed Study of Distributed Indexed Search Techniques using SOLR
Authors:   Department – Computer Science, Vijayam Degree & PG College, Chittoor, Sri Venkateshwara University, (A.P.), India., Jagadeeswar B
Published: September 2020

For any web application running on RDBMS databases as the backend, it might be a huge performance impact if a search needs to be performed on a table with millions of rows or if a query needs to be executed which joins multiple tables. In general, such kind of backend services make the website extremely slow. Document based reverse indexing can be a useful solution in these cases. SOLR is a standalone enterprise search server with a REST-like API. It has major features which include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, NoSQL features and rich document (e.g., Word, PDF and more) parsing, geospatial search, Security built in. Databases and SOLR have complementary strengths and weaknesses. SQL supports very simple wildcard-based text search with some simple normalization like matching upper case to lowercase. The problem is that these are full table scans. In SOLR all searchable words are stored in an "inverse index based", which searches orders of magnitude faster. However, designing this framework is quite challenging. This paper discusses the techniques that are highly reliable, scalable and fault tolerant which can help in setting up the distributed indexing, replication and load-balanced querying with a centralized configuration.
AI Powered Holistic Solution for Travelersduring Pandemic
Authors:   Student, Department of Electronics and Telecommunications, Sardar Patel Institute of Technology, Mumbai, India., Kumar Vedant , Kumar Siddhant ,   Student, Department of Electronics, Sardar Patel Institute of Technology, Mumbai, India., Shingala Parth ,   Student, Department of Electronics and Telecommunications, S.P.I.T, Mumbai, India., Singh Pradhuman ,   Student, Department of Electronics and Telecommunications, S.P.I.T, Mumbai, India., Kalbande Dhananjay ,   Department of Electronics and Telecommunications, S.P.I.T, Mumbai, India.
Published: September 2020

As the world is engulfed with COVID-19 pandemic and the glimpse of vaccine is still a distant dream, taking precautions and maintaining the norms suggested by WHO will keep us safe. With this, we present in this paper a solution that would help travelers induce confidence in traveling while keeping in mind the guidelines that must be followed. The solution focuses on an end to end service that will not only help the travelers to make informed and safe decisions but also allow the hospitality industry to monetize from this application. This paper is focused on a detailed analysis of the solution that is being presented to tackle the problems faced by various industries and their fear of resuming the work. A software-based approach is taken for providing a simple and engaging user experience to the user along with an AI approach to detect and predict the COVID trend in various cities. Along with this, a system that detects if people are wearing a mask or not will also be verified by thealgorithm.
A Multimodal Learning to Rank model for Web Pages
Authors:   Department of Information Technology, Rajagiri School of Engineering & Technology, Rajagiri Valley, Kakkanad, Kochi, Kerala, India., Bhuvan Nikhila T , Elayidom M Sudheep ,   Division of Computer Science, School of Engineering, CUSAT, Kerala, India.
Published: September 2020

“Learning-to-rank” or LTR utilizes machine learning technologies to optimally combine many features to solve the problem of ranking. Web search is one of the prominent applications of LTR. To improve the ranking of webpages, multimodality based Learning to Rank model is proposed and implemented. Multimodality is the fusion or the process of integrating multiple unimodal representations into one compact representation. The main problem with the web search is that the links that appear on the top of the search list may be either irrelevant or less relevant to the user than the one appearing at a lower rank. Researches have proven that a multimodality based search would improve the rank list populated. The multiple modalities considered here are the text on a webpage as well as the images on a webpage. The textual features of the webpages are extracted from the LETOR dataset and the image features of the webpages are extracted from the images inside the webpages using the concept of transfer learning. VGG-16 model, pre-trained on ImageNet is used as the image feature extractor. The baseline model which is trained only using textual features is compared against the multimodal LTR. The multimodal LTR which integrates the visual and textual features shows an improvement of 10-15% in web search accuracy.
Seismic Response of Multi Story Structure Strengthened with Micropiles
Authors:   Department of Civil Engineering, Ain Shams University, Cairo, Egypt., El-Shamy Noha , Ahmed Sayed M. ,   Department of Civil Engineering, Ain Shams University, Cairo, Egypt., Motaal M. A. Abdel ,   Department of Civil Engineering, Ain Shams University, Cairo, Egypt
Published: September 2020

Micropiles are reinforced grouted piles that have small diameters commonly not higher than 30 cm. They are widely used for slope stabilization, controlling structural settlement, and in some cases, as retaining structures. Also, they are used for resisting dynamic uplift loads, seismic retrofit mainly in restrictive and low headroom areas, and retrofitting of historical monuments. The main goal of this research is to develop a finite element model that can capture the different aspects of seismic behavior of multi-story structure supported with deep foundation via using of micropiles. Also, a main target for the executing numerical modelling is to show the influence of the surrounding soil on this system and vice versa. Firstly, a representative two-dimensional finite element model is conducted to represent the soil-structure interaction system under seismic excitation supported with proper boundary conditions in PLAXIS 2D V20 for dynamic analysis based on previous recommendations considering the nonlinear soil behavior. The behavior of micropiles is studied and verified using previous results. Based on these models, the effect of lateral dynamic loads on the response of a structure with different foundation types is investigated. Also, a wide range of parametric studies, considering structure properties, earthquake magnitude, micropile diameter, micropile length, and the number of micropiles, have been carried out in order to investigate the actual interaction between soil, substructure, and superstructures. The study results showed that the seismic response of the structure is highly affected by the properties of the sub-surface soil layer. Consequently and similarly, analysis results established that underpinning using micropiles is an efficient technique for controlling the seismic response of existing structures.
Squander Water Treatment Technologies
Authors:   Department of Environmental Engineering, NCET, Nagpur, India., Chavhan Aboli V. , Khan Arif ,   Principal, NCET, Nagpur, India.
Published: September 2020

Constantly 2050 it is foreseen that the Earth's populace will surpass 9 billion. To fulfill the fundamental needs of the populace we'd like innovation to convey secure and safe wellsprings of water for creation of food and vitality. Water repossession, reuse, and reprocess manage these test by resolve water issue moreover make new wellspring of value water arrangements. One among the first testing part of economical manure treatment conspire configuration is that the investigation and choice of the treatment procedures and advances able of social occasion the requirements. This paper audits different innovations of waste water treatment and depicts the strategy for choice of reasonable innovation bolstered certain set up models.
Brain Computer Interface
Authors:   SCOPE, Vellore Institute of Technology, Vellore, India., Sharma Vanshi
Published: September 2020

Computer Technology is advancing day by day and with that it has led to the idea of Brain Computer interaction. Modern computers are advancing parallelly to our understanding of the human brain. This paper basically deals with the technology of BCI (Brain Computer Interface) that can capture brain signals and translate these signals into commands that will allow humans to control devices just by thinking. These devices can be robots, computers or virtual reality environment. The basis of BCI is a pathway connecting the brain and an external device. The aim is to assist, augment or repair human cognitive or sensory motor function. This paper also reflects light on the application areas that BCIs help in. It contributes in medical research and neuronal rehabilitation. New companies are emerging that are developing game environments involving brain computer interface.
Mutual Aid Among Sensors: An Emergency Function for Sensor Networks
Authors: Michaelides Costas , Pavlidou Foteini-Niovi
Published: September 2020

A large number of wireless sensor nodes in a certain area results in high contention. Inevitably, the transmissions of any possible critical data packets may fail due to collisions. In this article, we introduce an aspect of human intelligence in wireless sensor networks, influenced by cooperative networking, which enhances the timely delivery of critical data. Mutual aid among sensors (MAAS), is an emergency out-of-the-box medium access control (MAC) function for IEEE 802.15.4-2020. Specifically, the network coordinator detects critical data packets and sets an emergency flag to its next beacon, to inform the nodes that they may overhear data packets. When a node overhears a critical data packet from a neighboring node it switches to sleep mode and stays idle until the end of the superframe. Thus, interference is mitigated locally and temporarily. Simulation results, using the CC2650 radio parameters in OMNeT++, show that interference is reduced significantly, in favor of the timely delivery of critical data packets.
Construção de tecnologia educativa para o controle de infecção em serviços de saúde
Authors: Toniato Nunes Yngrid , Costa Vicente Marcelo , Brandão da Silva Mendes Leite Rozeli , Campos Simões Jeremias , Soares Heringer Xavier Bárbara Heloisa , Curbani Vieira Manola Claudia , Bernardino Mendes de Melo Evandro
Published: September 2020

Objetivo: Descrever o processo de desenvolvimento de uma tecnologia educativa destinada a pacientes e profissionais de saúde com a finalidade de prevenção de infecção em serviços de saúde. Metodologia: Estudo metodológico desenvolvido em 2019 em duas etapas: seleção do conteúdo e construção da tecnologia educativa. Resultados: A tecnologia denominada "Prevenindo a todo tempo" tem na sua dimensão 10,5 x 14,8 cm, possui 7 páginas frente e verso, contendo: capa, painel informativo, sendo que a organização do conteúdo, a partir da página 3, foi organizado por meio de atividades lúdicas, sendo: jogo de labirinto, jogo dos sete erros, jogo da memória, caça palavras, jogo dos 5 momentos, cruzadinhas, figura direta e informações da sequência correta para higienização das mãos. Considerações Finais: O produto desta tecnologia espera- se despertar o conhecimento sobre a higienização, sendo assim, acarretar uma boa adesão nos serviços para que se busque uma melhor qualidade da assistência prestada.
Teori Kognitif Sosial Albert Bandura (Studi Kritis Dalam Menjawab Problem Pembelajaran di Mi)
Authors: Yanuardianto Elga
Published: September 2020

Discussion on the theory of conditioning (behaviorism) which succeeded in the field of learning during the first half of the twentieth century. Beginning in the late 1950s and early 1960s these theories were questioned in many fields. The influence of these theories is decreasing, and currently the more prominent theoretical perspectives are cognitive perspectives. One of the major challenges to behaviorism comes from observational learning studies conducted by Albert Bandura and his colleagues. The most important finding of this research is that people can learn new actions just by watching others do it. The observer does not have to carry out these actions when he learns them. Strengthening is not necessary so learning can occur. These findings refute the central assumptions of conditioning theories. Social cognitive theories that highlight the idea that most human learning takes place in a social environment. By observing others, people acquire knowledge, rules, skills, strategies, beliefs and attitudes. In learning in social cognitive MI, it is important to apply considering that children of this age do a lot of learning from observing the surrounding environment, both observing teachers, parents, and the community as a model, so it is important to create a good environment in learning MI age.Keywords: Social Cognitive Theory, Learning
Association between Known Risk Factors and Colorectal Cancer Risk in Indigenous People Participating in the Ontario Familial Colon Cancer Registry
Authors: Jamal S. , Sheppard A.J. , Cotterchio M. , Gallinger S.
Published: September 2020

Introduction: Colorectal cancer is one of the most common cancers in Ontario and imposes a high burden on many Indigenous populations. There are two aims for this short communication: (1) Highlight colorectal risk factor findings from a population-based case–control study; (2) Highlight trends and challenges of colorectal cancer research in Indigenous populations in Ontario. Methods: Prevalences of cigarette smoking, obesity, fruit and vegetable consumption, and family history of colorectal cancer were estimated using the Indigenous identifier in the Ontario Familial Colon Cancer Registry for 1999–2007 and then compared for cases and controls using age-adjusted odds ratios (ORs) with 95% confidence intervals (CIs). Results: The registry search identified 66 Indigenous cases and 23 Indigenous controls. Cigarette smoking (OR: 1.88; 95% CI: 0.63 to 5.60) and obesity (OR: 2.16; 95% CI: 0.72 to 6.46) were higher in cases, but not statistically significantly so. Conclusions: Findings were consistent with previous literature describing Indigenous populations. A small sample size and poor Indigenous identification questions make it challenging to comprehensively understand cancer risk factors and burden in Indigenous populations.
Uso de tecnologías educativas en la enseñanza de la ciencia y la biología: tendencias de investigación de acuerdo con las revistas nacionales
Authors: Bornia Beatriz Grigio , Royer Marcia Regina
Published: September 2020

O avanço tecnológico expressivo manifestado nas últimas décadas gerou alterações no cenário educacional, principalmente após a promulgação do decreto no 6.300, que dispõe sobre o Programa Nacional de Tecnologia Educacional – ProInfo, em 2007. Deste modo, buscamos delimitar o cenário nacional vigente das implementações da Tecnologia de Informação e Comunicação (TIC) no ensino de Ciências Naturais mediante o levantamento bibliográfico de sete periódicos com Qualis (CAPES) A1 e A2, em Ensino, entre 2007 e 2019, a partir das 550 publicações encontradas com esta temática. Os critérios de avaliação foram: quantidade de publicações anuais por revista, quantidade de publicações por ano; nível de ensino; modalidades de ensino; disciplinas em que as TIC foram aplicadas; subáreas da biologia; enfoques temáticos e recursos tecnológicos utilizados. Embora a adesão de tecnologias possibilite promover a educação acessível, interdisciplinar e cativando a autonomia do aluno, sua implantação necessita infraestrutura, formação docente e recursos financeiros, adversidades apresentadas como grandes desafios diante de comunidades carentes e desigualdades presentes no Brasil atualmente. As pesquisas tratando-se de inclusão pautaram-se principalmente na surdez, sem ampliação a outras deficiências, embora a crescente ênfase de tecnologias didáticas aplicadas à Educação Ambiental apresentou resultados positivos.
Interacciones en un entorno de aprendizaje en línea y sincrónico: ¿qué tarea proponer con GeoGebra?
Authors: Menezes Rhômulo Oliveira , Bairral Marcelo Almeida
Published: September 2020

Ilustram-se e analisam-se interações colaborativas por licenciandos em Matemática na proposição de uma tarefa em um dispositivo síncrono e integrado ao GeoGebra. O contexto foi um curso totalmente online desenvolvido no ambiente Virtual Math Team (VMT). São analisadas duas sessões nas quais os participantes tiveram que reformular uma tarefa para ser implementada com o uso do GeoGebra. Os dados foram produzidos a partir das interações no chat escrito e das construções no GeoGebra, registradas pelo VMT e pelo diário do pesquisador. Ações como construir, acrescentar, repensar e convencer foram importantes na apresentação de possíveis tarefas com o GeoGebra. Ao mesmo tempo que os participantes interagiam entre si e com as construções do GeoGebra no VMT a atividade inicial foi sendo modificada e novas ideias foram negociadas e acrescentadas, permitindo o surgimento de um conjunto de enunciados alterados em decorrência dessas interações. A análise indica enunciados sugeridos e interações que os potencializaram, e conteúdos matemáticos que emergiram. Resultados sugerem que reflexões online pautadas na formulação e na solução de novos problemas podem caminhar conjuntamente.
Funciones vectoriales y curvas en el espacio mediante software de geometría dinámica: Una experiencia sobre la génesis instrumental de profesores en formación
Authors: Martínez Hernández Cesar , Rangel Alcántar Rodolfo , López Mojica José Marcos , Barón Ramírez Norma Angélica
Published: September 2020

En este reporte se presenta la actividad matemática en que se enrolan profesores en formación en torno al trabajo con funciones vectoriales, particularmente respecto a la visualización de curvas en el espacio mediante GeoGebra. Con base en los elementos teóricos de la aproximación instrumental del uso de herramientas tecnológicas, en su enfoque ergonómico, los resultados de nuestro estudio revelan cómo los profesores utilizan herramientas particulares del software de Geometría Dinámica GeoGebra como instrumento que les permite la reflexión matemática sobre curvas y vectores en el espacio. El estudio se enfoca en el análisis de la génesis instrumental a nivel personal respecto al uso del arrastre a través de deslizadores. Las formas de uso de la herramienta tecnológica por parte de los futuros profesores para visualizar la curva que genera la función vectorial se pueden clasificar en tres: el uso de deslizadores para generar una familia de vectores y el rastro visualizar la curva generada; el uso del registro numérico mediante la hoja de cálculo y la conversión hacia la representación gráfica; el uso del deslizador y el rastro para visualizar tanto la curva generada como los vectores que la producen.