bluuebunny/crossref_metadata_2025 huggingface dataset:
Lãnh đạo Giáo dục hiệu quả - Dạy và học số 22
Authors: Hoang Anh-Duc , Nguyen Linh-Chi , Thuy Ta Ngoc , Doan Phuong-Thuc , Nguyen Chi Yen , Dieu Nguyen Thi Hai , Dao Quynh Anh , Le Nhat Hoa  , Nguyen Quang Ngoc
Published: April 2020

Đại dịch COVID-19 đã đem lại nhiều tác động đến mọi ngành nghề, và đem đến trạng thái “Bình thường mới" (the new normal). Dạy&Học số 22 với chủ đề Lãnh đạo Giáo dục hiệu quả mang đến các bài viết đơn sơ, căn bản, mong ước được góp sức cùng quý vị triển khai những thực hành hiệu quả trong quản lý việc học và dạy. Trong chuyên mục Học thế nào, chúng ta cùng tìm hiểu thêm về Học tập chuyển hoá (transformative learning), và Sự ảnh hưởng từ tình yêu của cha mẹ tới hạnh phúc của con trẻ. Có lẽ, chúng ta sẽ có đôi chút ngạc nhiên với những điều thú vị xảy tra trong quá trình giao tiếp với trẻ nhỏ: Đừng chỉ nói, hãy trò chuyện!Chuyên mục Dạy thế nào kỳ này bao gồm một thảo luận với chủ đề “Thế nào là một giáo viên tốt?”, và hai hướng dẫn sư phạm cụ thể. Thứ nhất, bài viết “5 cách khuyến khích học viên chủ động trong các cuộc thảo luận trực tuyến” hỗ trợ trực tiếp cho các hoạt động giảng dạy từ xa. Thứ hai, chúng tôi giới thiệu lại nội dung “Phương pháp và hình thức tổ chức dạy học theo định hướng phát triển năng lực”, từ tài liệu hướng dẫn của Vụ Giáo dục Trung học. Mặc dù tài liệu này được giới thiệu từ năm 2014, nhưng có vẻ chủ đề này vẫn còn chưa được chú tâm và cần thêm những thực hành, tổng kết cụ thể.Các nội dung cơ bản, nền tảng về quản lý chương trình, nhà trường và con người trong mục Quản lý giáo dục: Sự cần thiết về việc hiểu rõ tổ chức giáo dục của mình? Các đặc tính của nhà quản lý giáo dục hiệu quả; và các gợi ý để trở thành nhà lãnh đạo giáo dục hiệu quả. Trong chuyên mục Cải tổ, bên cạnh kỳ 5 của loạt bài về các Framework giáo dục, chúng tôi xin giải ảo một chút về “các phong cách học tập", một chủ đề mà chúng ta vẫn thường hay có những ngộ nhận. Cuối cùng, Dạy&Học số 22 khép lại với chia sẻ từ thực địa, với các bài học về môi trường của học sinh tiểu học ở học khu Gwinnett, tiểu bang Georgia, Hoa Kỳ.
Engineering Education, Moving into 2020s: Essential Competencies for Effective 21st Century Electrical and Computer Engineers
Authors: Qadir Junaid , Yau Kok-Lim Alvin , Imran Muhammad Ali , Al-Fuqaha Ala
Published: April 2020

As we move into the third decade of the 21st century, the 2020s, the unprecedented rate of technological disruption and the short-lived nature of the specifics of engineering state-of-the-art require us to carefully evaluate what it takes to be an effective engineer and what this entails for engineering education and their lifelong learning. While it is true that certain basics of engineering will not change, there will be an increased premium for some skills (such as lifelong learning, meta-learning, collaboration, creativity, critical thinking, communication skills, and cultural/global literacy). 21st-century skills are, as such, timeless skills: it is paradoxically the volatile nature of the modern world that has forced us from ephemeral vocational fads back to these permanently valuable skills. In this work, after reporting on the skills that policy tanks and thought leaders deem necessary for the 21st century, we provide a synthesis in which we describe the pulls and pushes that learners and educators will face in the turbulent times of 2020 and beyond, and how they can thrive in the uncertain future through holistic well-rounded engineering education.
'Highest Dynamic Level Attainable Unvoiced’: György Ligeti, Language, and the Theatre of the Absurd
Authors: Mac Erlaine Dónal
Published: April 2020

This paper identifies a particular sub-genre of György Ligeti's life work.  The 'lingual' works are those that explore the field of language, linguistics and related philosophies through the composer's typical playfulness and invention.  Three strata are demarcated by the author, and the most complex, the 'speech pieces', is investigated more thoroughly.  The works of focus in this paper are Artikulation, Aventures, and Nouvelles Aventures. This is done with specific reference to the work of Samuel Beckett and Eugène Ionesco, exploring the details of the parallels between them, and the philosophy that underpins them all. It is Ligeti's investigation of vernacular form which brings these pieces in line with what is now known as the Theatre of the Absurd.
Diseño y validación del cuestionario “Actitud hacia la investigación en estudiantes universitarios”
Authors: Barrios Erika , Ulises Delgado
Published: April 2020

La actitud hacia la investigación es un tema a tomar en cuenta para quienes desean iniciar a los estudiantes universitarios en el mundo de la investigación, ya que los prejuicios y actitudes negativas pueden obstaculizar el aprendizaje. El objetivo de esta investigación fue diseñar y validar un cuestionario para evaluar la actitud hacia la investigación en estudiantes universitarios. A partir de la técnica de redes semánticas, se creó un cuestionario de 28 reactivos, que fue aplicado a 212 estudiantes de Psicología de 3 universidades. Se obtuvo un Alpha de Cronbach de .726 y en el análisis factorial resultaron 2 factores (actitud positiva y negativa) que explicaban el 30.24% de la varianza. Se encontró que los estudiantes de primer año tienden a tener mejor actitud hacia la investigación y esta va disminuyendo conforme avanzan en la carrera. En conclusión, el cuestionario mostró valores psicométricos aceptables para su uso.
HALLAZGOS MICROBIOLÓGICOS Y SUSCEPTIBILIDAD ANTIMICROBIANA EN CIRUGÍA ABDOMINAL DE URGENCIA.
Authors: Rodríguez Castillo Tomás Roberto , Baeza Natalia Moreno , Montalva Antonella Sanguineti , Gonzalez Katya Carrillo , Alvarez Gunther Bocic , Moreira Mario Abedrapo , Marcos Rodrigo Azolas , Bravo Jose Luis Llanos , Beneventi Mauricio Diaz , Krause Katherinne Bustamante
Published: April 2020

Introducción: Es importante mantener programas de vigilancia bacteriana para disminuir resistencia y definir esquemas farmacológicos adecuados. Los pacientes con abdomen agudo representan un grupo microbiológico especial.Objetivos: Hacer una revisión de agentes patógenos en pacientes adultos operados en nuestro Servicio de Urgencia por patología abdominal con líquido libre y analizar los resultados obtenidos de cultivos respecto a las cepas y la suceptibilidad a los antibióticos. Materiales y Método: Estudio de cohorte prospectiva con estadística descriptiva. Se incluyen pacientes consecutivos, mayores de 18 años, operados por abdomen agudo que presentan liquido libre intraperitoneal entre noviembre de  2017 y abril de 2018.Se excluyen casos con terapia antimicrobiana, hospitalización y/o cirugía en los 3 meses previos. Se registran los cultivos positivos, cepas aisladas, susceptibilidad antimicrobiana, datos demográficos y evolución clínica.Resultados: De 63 pacientes  55% fueron hombres y la edad promedio 52,2 años. Las patologías más frecuentes fueron de origen apendicular (62%) y de causa entérica (30%). En un 44% el cultivo fue positivo y en 36% con más de un germen. Escherichia coli fue el patógeno más frecuente (64,2%) seguidos de Enterococo faecium y Estreptococo anginosus (7,1%). De los otros patógenos cultivados sólo se observó resistencia múltiple en un caso aislado de Morganella Morganii.Conclusiones: Estos datos constituyen la realidad microbiológica local en abdomen agudo. La Escherichia Coli sigue siendo el germen más frecuente, debe enfrentarse con profilaxis y tratamiento antibiótico adecuado. Es necesario mantener  vigilancia microbiología local para un manejo acorde.
Comparación entre uso y no uso de antibióticos profilácticos en pancreatitis aguda grave. Ensayo Clínico Aleatorizado. Reporte preliminar.
Authors: Losada Morales Hector Fabio , Troncoso Trujillo Andres , San Martín Ferrada Pablo Ignacio , Curitol Sánchez Sonia
Published: April 2020

Introducción: La pancreatitis aguda es una enfermedad frecuente en el país, con una tasa de mortalidad de 10-30%. La administración profiláctica de antibióticos ha sido parte del tratamiento de pancreatitis aguda grave (PAG), por la teórica prevención de complicaciones infecciosas y reducción de mortalidad. Sin embargo, la evidencia científica disponible es controversial.Objetivo: Demostrar que los antibióticos profilácticos no disminuyen las complicaciones locales y/o sistémicas, requerimiento de UPC, ni mortalidad en PAG. Definimos PAG como APACHE II ≥ 8 o PCR ≥150 o falla multiorgánica.Material y método: Ensayo clínico aleatorizado, con aleatorización simple mediante tabla electrónica (uso o no uso de antibióticos profilácticos) de pacientes con PAG. En el grupo que usó antibióticos profilácticos se utilizó ciprofloxacino y metronidazol por 7 días. El resto del manejo no tuvo variación.Resultados: n= 71, dos grupos aleatorizados; Grupo 1 (n=35), sin uso de antibióticos profilácticos, y grupo 2 (n=36) con uso de profilaxis antibiótica. 12 pacientes (16%) requirieron UPC; 6 pacientes del grupo 1, y 6 del grupo 2 (p=0,957). Siete pacientes (9,8%) tuvieron algún tipo de complicación, 3 en el grupo 1 y 4 en el grupo 2 (p=0,516). El promedio de estancia hospitalaria fue 18,2 ± 9,5 días en el grupo 1, y 22,6 ± 29.2 días en el grupo 2 (p=0,495). Mortalidad: 1 paciente (1,41%) en el grupo 2 (p= 0,493).Conclusión: En este reporte preliminar, el uso de antibióticos profilácticos en PAG no mostró reducir las complicaciones, necesidad de cama en UPC, ni la mortalidad.
APLIKASI SISTEM PAKAR DIAGNOSIS TINGKAT DEPRESI PADA REMAJA BERBASIS ANDROID
Authors: Nurabsharina Amanda Putri , Kosasih Rifki
Published: April 2020

Depresi merupakan gangguan mental yang serius yang ditandai dengan perasaan sedih dan cemas. Gangguan ini biasanya akan menghilang dalam beberapa hari tetapi dapat juga berkelanjutan yang dapat mempengaruhi aktivitas sehari-hari. Penanganan yang lambat pada penderita depresi dapat berakibat terganggunya kondisi tubuh baik fisik maupun mental, bahkan buruknya kematian. Untuk mengidentifikasi depresi biasanya dilakukan dengan cara konsultasi dengan psikolog atau pakar. Dalam penelitian ini dibuat sistem pakar yang dapat mengidentifikasi tingkat depresi seperti gangguan mood, depresi ringan, depresi sedang dan depresi berat. Aplikasi ini dibuat dengan menggunakan bahasa pemrograman Java, SQLite dan XML. Dari hasil penelitian dengan 15 responden diperoleh bahwa tingkat akurasi aplikasi sistem pakar ini sebesar 93%.
DETEKSI KADAR NITROGEN DAN KLOROFIL CITRA DAUN MENGGUNAKAN RUANG WARNA HSI
Authors: Pernadi Dody
Published: April 2020

Kandungan terhadap kadar nitrogen dan klorofil salah satunya dapat ditentukan dari citra daun. Penelitian ini akan menentukan tekstur citra daun berdasarkan nilai Gray Level Co-occurrence Matrix berupa nilai contrast, homogeneity, correlation, energy, dan entropy. Penelitian ini juga akan menghitung kadar nitrogen dan kandungan klorofil daun dengan melakukan pencarian nilai tengah (mean) dari tiap komponen warna RGB yang kemudian ditentukan dengan ruang warna HSI. Hasil ujicoba menunjukkan perhitungan kandungan nitrogen pada citra daun berhasil dilakukan dengan mengekstraksi ruang warna HSI citra daun. Kandungan ini mutlak diperlukan petani dalam menentukan jumlah kadar pemupukan dalam satu jenis tanaman.
Graph Based Brain Network Structure and Brain MRI Segmentation Techniques
Authors:   Assistant Professor, CSE Department Dr.AIT, Bangalore, India, K Mamatha S , K Krishnappa H ,   Associate Professor, 2CSE Department RVCE, Bangalore, India
Published: April 2020

Graph based representation of medical images is very challenging task due to complexity of various images taken using different techniques like MRI, Ultrasound, CT scan and PET scan. Graph theory provides simplified notations and tools in order to representation Brain network structure. The brain network structure helps to analyze and detect brain tumor because it is structurally and functionally organized complex system. Brain network structure and functional analysis using graph based techniques have been successfully used in various types images and medical data analysis. Simplified representation of brain structure plays a crucial role in analysis and detection of brain related diseases. Because various kinds brain tumor types allows to have different images and brain tumor analysis is one of the most significant challenges. This paper also represents graph theory based brain tumor detection and classification steps using hybrid Fuzzy C-Means technique. Segmentation error may increase due to presence of noise, intensity variations, interclass values in manual segmentation. To avoid this, use automatic segmentation which gives better results for clinical analysis of MRI images. In this paper different types brain tumors, Graph based analysis of complex Brain Structure, various brain tumor segmentation and detection techniques using MRI and its merits and demerits are surveyed and summarized. We also discussed future research directions in analysis of MR Images and some challenging issues of brain tumor evolving in medical research field.
Power Loss Reduction using Instantaneous Network Reconfiguration and DG placement with Cuckoo Search Algorithm in Distribution System
Authors:   Student, M.Tech in Power Systems (EEE) from GRIET Hyderabad, B.Tech in EEE from Methodist College of Engineering and Technology, Telangana, Hyderabad, India., Jithender* Damershetty , Sridevi Dr. J. ,   Professor EEE department in GRIET, Gokaraju Rangaraju Institute of Engineering & Technology, Telangana, Hyderabad, India.
Published: April 2020

The aim of reducing power loss, enhancing profile of voltage in a radial distribution system at which consumers are connected and also determining the ratings of power, optimal placement of Distributed generator. In this paper to resolve the drop in voltage profile by using network reconfiguration that gives possible switching possibilities with an efficient Cuckoo Search Algorithm (CSA) is discussed and Sensitivity analysis are carried out simultaneously for finding sizing and possible location of distributed generation. To confirm the usefulness of the discussed method it was conducted on radial distribution system of 33 bus connected by various load levels, the result shows that the discussed method is fast and efficient. However to meet power requirement and lack of transmission capabilities importance for DG is rapidly evolving in electrical systems. For reliability and stability for the power system best possible location of Distributed Generator is needed in distribution system. To overcome the shortcomings of mathematical optimization practices, soft computing algorithms have been actively introduced during the last decade.
Financial Transactions in the Banking Industry- Various Digital Initiatives at Axis Bank
Authors:   Associate Professor at Indira School of Business Studies, Pune., Singh* Dr Komal
Published: April 2020

Banking in India is transforming itself towards digital way of doing it. Electronic banking has spread its roots with invent of computers and ATMs back in 1970’s. Banks are using these electronic ways to offer a vast range of its products and services. These developments in the banking sphere has led the creation of new business models for banks and non-banking financial corporations like internet service providers and other firms operating in technological area. This paper focuses on the digital transformation of AXIS bank with respect to various characteristics of their digital banking products and services, as compared to its competitor and the growth and awareness of the customers of AXIS bank in relation to its digital products. The data is collected through a questionnaire for this purpose and analysed through using various statistical tools.
Development of Light Weight and Seismic Performance of Light Gauge Cold Formed Steel Structures by Different Types of Moment Resistant Steel Connection
Authors:   Assistant Professor , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India., Jayaraman A , Sathyakumar N ,   Assistant Professor , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India., Murugananthan K ,   PG and UG Student , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India, Gowtham T ,   PG and UG Student , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India, Sankar K Siva ,   PG and UG Student , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India
Published: April 2020

Structural steel has many advantages over other construction materials by its high strength and ductility. It has a higher strength to cost ratio in tension and a slightly lower strength to cost ratio in compression when compared with concrete. This paper is intended to evaluate the beam column rolled and cold formed steel connection experimentally by moment resistant connection such as stiffened, un stiffened and splices connection. At the present, in most of the countries, the use of light gauge cold formed steel section has been developed for economical and best seismic performance by different shape of cross sectional area and various types of connections are used. These results to study the seismic performance of cold form steel sections area using various moment resistance connections. Finally the report result the splice connection has best moment resistance connection, seismic resistant of structures, load carrying capacity is high and minimum weight compare with other types of connections. The splice connection has load carrying capacity is high, so we can reduced the size of section and prevent the base shear due to reduced the weight of structures.
Lidar Based Intelligent Obstacle Avoidance System for Autonomous Ground Vehicles
Authors:   Automotive Research Centre, Vellore Institute of Technology, Vellore, India., Perumal* P. Shunmuga , Sujasree M. ,   School of Advanced Sciences, Vellore Institute of Technology, Vellore, India., Siddhardha K. ,   Department of Aerospace Engineering, IIT Madras, India., Gokul K. ,   Samsung Research and Development Institute, Bangalore, India.
Published: April 2020

Autonomous ground vehicles (AGVs) started occupying our day-to-day life. AGVs can be programmed to be smart with the current technological advancements. In doing so, we can apply them to assist humans in many aspects like reducing road accidents, enabling us to use cars without driving knowledge, autonomous patrolling in dangerous zones, and autonomous farming. For AGVs to operate at this level of automation, it must be equipped with sensory perception devices to be aware of its surroundings, and also, a way to perceives this data is crucial. As a first step towards this, researchers have developed a vast number of camera vision-based efficient neural network algorithms for detecting and avoiding obstacles. Unfortunately, an AGV cannot survive only with computer vision as it suffers from several effects like night driving and erroneous estimation of distance information. Camera vision and lidar vision together is suitable for AGVs to operate in all conditions like day, night, and fog. We propose a novel neural network model, which transforms the lidar sensor data into obstacle avoidance decisions, which is integrated into the hybrid vision of any AGV. Existing lidar sensor-based obstacle detection and avoidance systems like 2D collision cone approaches are not suitable for real-time applications, as they lag in providing accurate and quick responses, which leads to collisions. The proposed intelligent Field of View (FOV) mechanism replaces classical mathematical approaches, which accurately mimics the behavior of human drivers. The model quickly takes decisions with a high level of accuracy to command the AGV upon being obstructed with obstacles in the trajectory. This makes the AGV drive in obstacle rich environments without manual maneuvering autonomously.
Performance Analysis of Power Electronic Distribution Transformer using Adaptive Pi-Fuzzy Logic Controller
Authors:   UG Student, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Chennai, India., K. Vishnupriya , G. Ramya ,   Assistant Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Chennai, India.
Published: April 2020

This paper enlightens the analysis of distributed transformer using novel controller. The transformer initiates power distribution by stepping up or down depends upon the need. In accordance with power quality issues, performance, dynamic response, power factor correction the normalized transformer is inconvenient. Replacing the uncertainties by introducing a power electronic distribution transformer (PET) with PI controlled adaptive fuzzy logic control (APIFC). Moreover the occurrence of breakdown voltage and stress in conventional method, this method becoming more popular. This transformer become sensitive to dealt with swell, sag, voltage regulation, open circuit and short circuit fault. The specified rectifier also does power factor correction. The strategic PI controller with adaptive fuzzy logic control technique is established to respond sudden change or variation occurs in load. The fuzzy logic controller (FLC) posses five set of rules and PI controller adapt with one among five set of rules. This makes the controller to adjust with variation and improves power quality. The simulation is carried out using MatLab-Simulink.
Design of Secure Blockchain Convolution Neural Network Architecture for Detection Malware Attacks
Authors:   Department of Computer Science and Engineering, Information Security Specialization, Vellore Institute of Technology, Vellore, India., Nawroozi* Sharifa , Guru Dr. RA. K. Saravana ,   Department of Information Security, Vellore Institute of Technology, Vellore, India.
Published: April 2020

Nowadays, Cyberattack continues to target the applications and networks more than past with different and advance ways like programming complex format of malware that it executes unauthorized action on the targeted system, so it is needed to develop and deploy advance method to these kind of attacks for detecting correctly with a trusted and a better accuracy. Therefore, the recent solutions to detect malware attacks focuses on new advance technologies like Deep learning and Machine learning concepts. In this paper we have developed secure blockchain convolution (SBC) Algorithm that provides a better way of analyzing malware data with effectiveness and accuracy. The deep learning concept does not involve in a method to identify the trust while the process is led to extraction of the features as it can be infected by the intervention of human or a trained system. Therefore, According to research which is done towards blockchain, it features as authentication function, immutable property, information privacy and safety helps in deployment of Convolution Neural Network method with better detection. Blockchain has a decentralized structure which is able to record the data between various parties and it helps in preventing the manipulation when the deep learning concept is applied and the higher detection accuracy is received in the limited time.
Analyzing Political Trending Tweets for Opinion Extraction
Authors:   Research Scholar, University College of Engineering, JNTUK, Kakinada, East Godavari, A.P., India.., Manikyamba* I. Lakshmi , Mohan Dr. A. Krishna ,   Professor, Dept of CSE, University College of Engineering, JNTUK, Kakinada, East Godavari, A.P., India.
Published: April 2020

Assessment mining once in a while additionally alluded as notion investigation, very well may be utilized for normal language preparing. By the assistance of supposition mining state of mind of open about any item or an individual can be followed. This procedure includes building a framework which gather and classify sentiments about an individual's notoriety. Disposition and sentiments of open can be followed utilizing a stubborn record by arranging it as either positive or negative as per the slant communicated in it. Traditional assumption examination frameworks face challenges like short length of content, spelling mistakes, Special tokens like URLs, emojis, diversity of substance, Different style of language, multilingual substance, slang words and so forth. Approach of opinion extraction depend on directed learning, or solo strategies (content pre-processing by expelling tokens, URLs, stop words). Following techniques were clarified for political assessment mining dependent on fame by utilizing three characterization calculations i.e., Multi Naive Bayes calculation depends on Naive Bayes hypothesis which utilizes contingent likelihood by tallying the recurrence of qualities and blends them in an informational collection, straight SVC and XGB classifier. Check vectorization is utilized to change the literary information into vectors, either by utilizing TF-IDF calculation or BOW. Extremity is determined via preparing the informational index and afterward resultant number of positive and negative slants can be determined. The Result will be determined dependent on these extremity esteems.
An Analysis of Challenges in Character Recognition on Palm Leaf Manuscripts, and Their Solutions
Authors:   Assistant Professor, Department of IT, Sri Vishnu Engineering College for Women, Bhimavaram-534202, Andhra Pradesh,, Challa Dr. Nagendra Panini , Kalyani Ms. Adurthi Lakshmi ,   Undergraduate Student, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India., Mehta Dr. E. Vasanth Kumar ,   Associate Professor, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India., Mounika Ms. Aalavala Lakshmi ,   Undergraduate Student, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India.
Published: April 2020

Information was recorded and transmitted through the use of many traditional methods in ancient times using naturally available material like palm leaves, tree barks etc. which were found suitable for long-term storage. With passage of time, these materials are increasingly prone to deterioration from many internal and external agents, and we are at a risk of losing the valuable information inscribed on them. Digitization is a feasible and available solution preservation of such content. Scanning and digitizing these manuscripts facilitates making it visible and readable for the users. The process of Knowledge retrieval from these manuscripts begins with the first step of Character Recognition. This primary step itself is a very complex task due to the variety of scripts and handwritings on the palm leaf manuscripts. This paper provides an overview about different challenges faced by global researchers pertaining to palm leaf scripts and the solutions proposed by them.
A Theoretical Background on Consumers Impulse Buying Behaviour
Authors:   Department of Commerce and Management, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Science. Kochi, India., Vijay* Jisha , Kumar Dr. Indu Manish ,   Department of Commerce and Management, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Science. Kochi, India.
Published: April 2020

The study plans to ask into the marvel of Impulse purchasing conduct among the buyers of merchandise and on watching the effect of a few elements for an impulse purchasing choice of customers. An impulse purchase is of considerable marketing management activity which is driven by psychologically stimulated impulses. Impulse behaviour has been a philosophical target of discussion for many years. Motivation is spontaneous and emerges promptly with a specific improvement, the examination centers’ around elements in an impromptu or driving forces great utilization a buyer makes. Several theories and models have been studied before to depict the points highlighting the aspects of impulse buying. This study focuses on studying impulsiveness’ in the view of Howard Sheth Model where by factors are determined and Reference Point model to determine the time inconsistent behaviour of consumers. Journals & articles are selected for gathering information. The perspectives and the measurements influencing are resolved to see the certainties concerning lack of caution. This paper elaborates the concept of shopper behaviour models, the models on impulse purchase decision undertaken by the consumers. Other than this, factors impacting buyer conduct are talked about in this paper.
Natural Frequency for a Composite Structure Made with a Combination of Metal and Laminated Composites
Authors:   Department of Mechanical Engineering, GH Raisoni College of Engineering & Research, Pune, India., Dipak R* Kale , Arakerimath Dr. R. R. ,   Department of Mechanical Engineering, GH Raisoni College of Engineering & Research, Pune, India.
Published: April 2020

The need for low weight and high strength of the component is in high demand in various aerospace and defense industries and in line with this utilization of the combination of metal and composite increases. In this work, the natural frequency analysis of the structure, is carried out which is a combination of metal and composite. The natural frequency of the system is directly proportional to the stiffness of the system i.e. high natural frequency reflects high stiffness of materials. The structure considered like a cantilever beam, initially considering Titanium alloy the finite element analysis to get natural frequency carried out and validated using an analytical method. Then modal analysis performed using FEA for laminated composite structure and validate with the experimental results and received good agreement. The laminated composite beam manufactured using a hand layup method. Lastly, the structure modeled as a combination of laminated composite material & metal and FEA modal analysis done. The various volume percentage of composite and metal is studied and the best one finds out. The structure considered related to the last stage of the steam turbine blade.
The Changes of Runoff with DEM Resolution Variations
Authors:   Civil Engineering Department, Politeknik Negeri Padang, Padang, Indonesia., Syofyan* Elvi Roza , Istijono Bambang ,   Civil Engineering Department, Faculty of Engineering, University of Andalas, Padang, Indonesia., Saidi Amrizal ,   Soil Department, Faculty of Agriculture, University of Andalas, Padang, Indonesia., Herdianto Revalin ,   Civil Engineering Department, Politeknik Negeri Padang, Padang, Indonesia.
Published: April 2020

Currently there has been a research gap in providing sufficient and reliable data for the estimation of surface runoff from ungauged catchment in Batang Kuranji watershed, City of Padang, West Sumatera, Indonesia. The need for such data arose from the fact that land cover changes occur rapidly in the past 20 years, and flash flood and river degradation have been experienced at an alarming scale. However, due to lack of discharge data from upstream catchment, modelling catchment response to the effect of land use changes is hampered. Field measurement is difficult due to accessibility to river tributaries in the upstream catchment. Therefore, the use of digital satellite images and digital elevation model is studied with various DEM (Digital Elevation Model) resolutions for the first time in this catchment. This catchment is situated from 95 to 1858 m above sea level with an annual rainfall of 3440 mm. This watershed is classified as steep with a watershed that has a slope of more than 40% reaching 37.01% of the entire Kuranji watershed area. This study used 30 m and 8 m DEM. Secondary data were gathered from satellite images such as MODIS (MODerate resolution Imaging Spectroradiometer) Land Use. Precipitation data were gathered from three rain gauging stations in or nearby the catchment. Stream geometry data were obtained from the Provincial Office for River Management. Annual discharge and 100-year discharge are calculated using rainfall data for the past 20 years. Runoff discharge was calculated using rational method and SCS (Soil Conservation Services) method. Overall, computed discharge decreases as DEM resolution decreases with percentage varies between 0.98% to 1.76%. The biggest difference between DEM of 30 m and 8 m was shown by the Rational method. However, the difference between years is inconsistent with methods used with no significant pattern. Using the rational method, the biggest difference was by 18.73 m3/s, making up 1.76%. With SCS-CN, however, the biggest difference was 14 m3/s or 1.32% and the smallest was 0.98%. Validation with field measurement suggests that the 8-m DEM varies only 0.16% with actual discharge. Therefore, in the Kuranji catchment, the SCS method coupled with 8-m DEM was found to be accurate for the estimation of surface runoff.
A Novel Automatic Journal Recommender System
Authors:   Assistant Professor, Thiru A. Govindasamy Govt Arts College, Tindivanam, Tamilnadu, India., Priya* S. Prasanna , Karthikeyan Dr. M. ,   Assistant Professor, Department of Computer and Information Science, Faculty of Science, Annamalai University, Annamalainagar, Tamilnadu, India.
Published: April 2020

Recommender Systems (RS) have developed into an important application in several user domains. RS may aid users to discover appropriate items in vast data. The selection of journal publication is generally based on the research domain or topics of document. The traditional method for journal recommendation is carried out by analyzing the document and matching its topics with relavent journal utilizing content-based examination. Though, this approach might create errors because of disparities in manuscript comparisons. In this paper, a novel Jaccard based Journal Finder Neural Network is proposed with pearson correlation coefficient (JJFNN-PC) for journal recommendation. The proposed recommender system allows the researchers to automatically find appropriate publication with journal title and abstract. Similarity coefficient is computed among the journal database and journal title and abstract of user distinctly through Jaccard similarity. The obtained outcome is used for training the novel JFNN that automatically find appropriate publication for user research article. The pearson correlation coefficient is established to validate the correlation between title and abstract of the recommended journal. The experimental result of automatic journal selection process provides the exact journal list and obtained better performance with accuracy of 98.41%.
Biomedical Data Mining for Web Relevance Checking
Authors:   School of Computer Science and Engineering Department , Vellore Institute of Technology, Vellore , India., Mastanzada* Khatera , Ghalib Dr. Muhammad Rukunuddin ,   School of Computer Science & Engineering Department , Vellore Institute of Technology, Vellore , India.
Published: April 2020

Now a day's web is the primary wellspring of data in each field. Web is additionally extending exponentially step by step procedure. To get the applicability of data is very tedious and is anything but an extremely simple assignment. For the most part of clients go for the different web indexes to look through any data. However, here and there web search tools are not ready to give valuable outcomes as the vast majority of the web archives are available in an unstructured way. Information mining is the extraction of data from an enormous database. This project can be useful in diagnostics, treatment, and counteraction of any ailment. There are large numbers of archives on the web about biomedical an explicit term so to acquire a pertinent record is exceptionally troublesome. The objective of this project is to apply content mining strategies to recover helpful biomedical web records. Here an increasingly productive instrument is proposed which utilizes the advanced SVM algorithm, grouping calculation where it can aggregate the comparable archives in a single spot. In this paper proposed smartly designed web mining algorithms to extract the textual form of information on web pages and to apply for web applications. This proposed system gives more helpful in all biomedical sectors. Search engines can be used to do the regression on the web pages into the biomedical structure. This methodology will assist the client in getting all the important relevant biomedical information in one place. On contrasting my methodology and the first SVM algorithm calculation that we use with an improved k-mean algorithm and found that our calculation on a normal giving 99.72 % results.
È stata richiesta una consulenza su consulenziale
Authors: Thornton Anna M.
Published: April 2020

Diversi lettori ci chiedono se sia corretto l’aggettivo consulenziale che non hanno trovato nei dizionari da loro consultati.
Autorizzativo e autorizzatorio
Authors: Coletti Vittorio
Published: April 2020

Alcuni lettori ci sottopongono gli aggettivi autorizzativo e autorizzatorio in uso nei testi normativi (si parla ad esempio di regime autorizzatorio): il loro impiego è “corretto”? Sono equivalenti o è meglio usare uno dei due?
Caduti in/di guerra, in/del mare, sul lavoro: espressioni diverse per tenere viva la memoria su eventi ugualmente tragici
Authors: Setti Raffaella
Published: April 2020

Un lettore ci chiede se sia corretto usare la parola caduti in mare (ormai diffusa nelle espressioni caduti in guerra, in mare, sul lavoro) anche per indicare gli annegati, che effettivamente non muoiono cadendo. Un altro, in occasione dell’inaugurazione a Riccione di un monumento ai caduti del mare, si domanda se sia meglio utilizzare la preposizione del o invece nel mare.
PERLINDUNGAN KONSUMEN TERHADAP PEREDARAN MAKANAN KADALUWARSA DI LABUHANBATU (DITINJAU DARI UNDANG UNDANG NOMOR 8 TAHUN 1999 TENTANG PERLINDUNGAN KONSUMEN)
Authors: Tampubolon Wahyu Simon
Published: April 2020

Perkembangan produk dan jenis makanan dan minuman yang beredar dimasyarakat baik berupa produk barang yang dipasarkan kepada  masyarakat, apabila tidak berhati-hati dalam memilih produk makanan dan minuman yang diinginkan konsumen, maka konsumen hanya akan menjadi objek eksploitasi dari pelaku usaha yang tidak bertanggung  jawab. Karena tanpa disadari konsumen hanya menerima begitu saja barang yang dikonsumsinya. Makanan  merupakan kebutuhan yang memeliki risiko yang tinggi karena makanan tersebut dikonsumsi oleh masyarakat untuk kelangsungan hidupnya. Tetapi dalam praktiknya kegiatan perdagangan produk makanan menunjukkan, masih banyaknya pelaku usaha yang dengan sengaja menjual produk-produk makanan yang telah kadaluwarsa. Hal ini dapat merugikan dari hak-hak konsumen karena dapat membahayakan kesehatan dan keselamatan dari konsumen.Pemerintah harus memberikan perhatian yang serius kepada kualitas dari makanan dengan melakukan penyempurnaan yang lebih lanjut terhadap peraturan mengenai standar ukuran dari makan sehat dan tidak sehat. Meningkatkan fungsi pembinaan dan pengawasan kepada pelaku usaha makanan guna untuk mengurangi berbagai bentuk pelanggaran terhadap ketentuan mengenai makanan dan fungsi koordinasi antar instansi yang kurang berjalan dengan baik harus segera diperbaiki dengan dibarengi oleh peningkatan sumber daya dari aparatur pemerintah untuk memberikan perlindungan hukum bagi konsumen atau masyarakat. Kata kunci : konsumen, kadaluwarsa, perlindungan hukum
Buscando Soluções Sustentáveis para Áreas Úmidas Savânicas Brasileiras via Uso Múltiplo
Authors: Paixão Eliana , de Arruda Erica , Junk Wolfgang , Nunes da Cunha Cátia
Published: April 2020

As áreas úmidas savânicas são responsáveis por múltiplos serviços e produtos ambientais; portanto, seu uso múltiplo deve ser incentivado. No Brasil, as áreas úmidas savânicas se encontram no Pantanal, no rio Araguaia (Ilha do Bananal), no rio Guaporé e nos lavrados de Roraima. Como signatário da Convenção Ramsar, o Brasil deve compatibilizar suas políticas públicas, através do reconhecimento dos múltiplos valores das áreas úmidas, alcançando, assim, o uso racional dos seus recursos e contribuindo para o desenvolvimento sustentável. No Brasil, áreas úmidas savânicas não são contempladas na legislação específica, e a orientação de seu manejo – uma vez reconhecida como área de uso restrito – deverá atender aos princípios das Convenções Ramsar e da Diversidade Biológica. Diante das demandas por produtos florestais madeireiros e não madeireiros, a adoção de planos de manejo diferenciados é necessária. Essa abordagem propõe formas de manejo ecologicamente benéficas, incorporando valores adicionais ao uso da terra e às formações florestais. O uso múltiplo em áreas úmidas é o tipo de manejo integrado e planejado em que os vários usos dos recursos devem estar interligados, tornando-se uma estratégia possível para prolongar a disponibilidade dos recursos e o uso viável da terra, e manter as características ecológicas desses ambientes. As principais vantagens do manejo de uso múltiplo são o uso diversificado de recursos naturais, o aumento do rendimento de produtos e serviços, a participação das partes interessadas na obtenção de benefícios de recursos naturais, a diminuição dos conflitos sociais e degradação dos recursos florestais, o incentivo à manutenção de áreas florestais e a proteção da sua biodiversidade, entre outros. O conhecimento sobre as áreas úmidas savânicas e seu uso potencial devem ser divulgados e incentivados, para que seu uso seja realizado de forma sustentável, garantindo seu aproveitamento por futuras gerações.
The Effectiveness of Using Mobile Learning Methods in Geometry for Students with Different Initial Mathematical Performance
Authors: Panagiota Panteli  , Areti Panaoura
Published: April 2020

The present study investigated the use of mobile learning on students' (with different initial mathematical performance), understanding in geometry. The sample of the study was consisted of 162 5th grade students at secondary education (16-17 years old) who were divided into experimental and control group. For the mobile learning the Euclidea app was installed by the experimental group in their smart phones and it was used at the teaching of specific geometrical concepts. Emphasis was given on students’ experiences. Although there were not any statistically significant differences between the two main groups concerning their performance, further analyses of the characteristics of the experimental group indicated that the mobile learning method was more efficient for students with low or medium performance than those with high initial performance on mathematics, highlighting that there is not any “ideal” method in the teaching of mathematics, however there are differentiation derived by inter-individual differences.  Implications about the use of mobile learning in mathematics education are discussed, as the use of short term intervention programs cannot fulfil the goals of changing significantly the mathematical performance.
PENGARUH IKLAN TERHADAP PEMBENTUKAN BRAND AWARENESS DAN MINAT PEMBELIAN ULANG PRODUK
Authors: Wahyuningsih Roy
Published: April 2020

The competitor that must be faced by the Mie Sedaap Company is that the Noodles should move aggressively to increase consumer awareness in order to increase customer growth. For this reason, this research focuses on the issue of how advertising can shape brand awareness and repurchase interest. To answer the problems that have been formulated, it is necessary to obtain data relating to the research variables. Data on advertising, brand awareness, and repurchase interest were collected from 30 respondents using a questionnaire. The collected data is then analyzed using Simple Linear Regression analysis techniques. Based on the results of the analysis, then In accordance with the results obtained in this study from the descriptive statistics seen from the value of F = 19,197 (p = 0,000), while advertising and interest in constant repurchase (a) obtained 0.837 results, regression coefficient (b) obtained 0.866 results , prediction of the relationship between the effect of advertising on the repurchase interest. This can be seen from the value of F = 111,807 (p = 0,000). The results of this study can be seen that respondents strongly respond positively to sadaap noodle products, and advertising is indeed very influential on the formation of brand awareness and interest in repurchasing delicious noodle products.

Keywords: advertising, brand awareness, and interest in product repurchase
Importance of Knowledge to Entrepreneurial Activity: Empirical Evidence from Southeast Asian Nations
Authors: Hung Do Quang , Hieu Luu Van
Published: April 2020

Although various studies have been conducted to examine the role of knowledge in the entrepreneurial process, the results reveal inconsistencies. Moreover, the relationship between knowledge factors and their role in explaining the entrepreneurial intentions still has no clear answer. Our study investigates the effects of knowledge factors on the likelihood to engage in entrepreneurial activity. Our analyses are based on data collected for the 2015 Global Entrepreneurship Monitors (GEM) from individuals locates in Southeast Asian Nations including Malaysia, Thailand and Vietnam with a sample of 1964, 2902 and 1889 participants, respectively. Our findings show that knowledge, skills and experience and knowing an entrepreneur have a significant impact on the entrepreneurial intentions. The contribution of this study is twofold. First, it provides empirical evidence on the relationship between knowledge factors and start-up activity. Second, it contributes to the understanding of entrepreneurship environment in Southeast Asian Nations, a critical part of the world.
Critical Application to the Concept of Formal and Authority Becoming a New Concept of Talent Management
Authors: Montoya Monsalve Juan Nicolas
Published: April 2020

The aim of this paper is to analyze the concept of formal authority in organizations, using a theoretical discussion of its components, their mainstreaming in the administrative process, and its effect on the proactive development of business objects, pretending to determine if this variable is proactive or not, in the development of high performance practices in Human Resource Management, and whether or not a restriction, for people to become their strategic base and/or competitive. We also try, from a case study to determine the effect of expression authority in non-hierarchical designs, the effects of structural position in organizations, the impact of leadership, the relationship of structures and the charges regarding the successes and achievements of the organization, the effect on intra-relationships and communication, imposing, authoritarian, non-cooperation with the lack of consistency with individual purposes, mission and Provisional Record, the continium of bad decisions, relationship with management and control, and finally connect all these elements with the current organizational individuals, immersed in a knowledge society.
Oral Expression of Young People Caused by the Use of New Media
Authors: Filipan-Žignić Blaženka , Legac Vladimir , Sobo Katica
Published: April 2020

The authors want to explore the extent to which the elements of the language of new media (abbreviations, omission, dialectisms, vulgarisms, anglicisms, etc.) are present in the speech of young Croatians (100 secondary school students in their final years) in their conversations due to the influence of the language of new media. The results of the research have shown that young people use a large number of the elements of the language of new media in their mutual communication, but it is much less than in their written communication.