bluuebunny/crossref_metadata_2025 huggingface dataset:
Monitoring Land Encroachment and Land Use & Land Cover (LULC) Change in The Pachhua Dun, Dehradun District Using Landsat Images 1989 and 2020
Authors: Thapa Rahul , Bahuguna Vijay
Published: June 2021

Remote sensing and G.I.S help acquire information on changing land use and land cover (LULC), and it plays a pivotal role in measuring and monitoring such local and global changes. The present analysis has been executed on Landsat 5 TM, 1989 and Landsat 8 OLI/TIRS, 2020 images of Pachhua Dun, including Dehradun & Mussoorie urban agglomeration. The present study aims to detect the land encroachment or area of change; rate of change and monitoring spatio-temporal variation in LULC change between 1989-2020 using change detection technique, supervised maximum likelihood classification, and Overall accuracy & Kappa Coefficient (K) was applied as an accuracy assessment tool. The results derived from the change detection analysis exhibits that the highest growth rate was recorded in built-up areas +247.75% (110 km2) and revealed the annual rate of change of 3.55 km2. or  7.99%, the highest among all LULC class during the overall study period of 31 years. The result also found that among all LULC class, the most significant LULC conversion took place from agricultural land to built-up areas followed by open/scrubland and vegetation/forest cover; approximately 69.9km2 of the area under agricultural land was found to be converted into built-up areas. At the same time, 38.9 km2 area of vegetation/forest cover and 36.3 km2 of the area of open/scrubland have converted into agricultural land. Rising anthropogenic influence and unsustainable land-use practices in the study area have led to a large-scale human encroachment and rapid transformation of the natural landscape into the cultural landscape. This analysis provides the essential long-term Geospatial information related to LULC change for making optimum decision-making process and sustainable land-use planning in the Pachhua Dun-Dehradun District, Uttarakhand, India.
El Consenso de Washington, vulnerabilidad externa y sobreexplotación del trabajo en América Latina: un análisis a la luz de la Teoría Marxista de la Dependencia
Authors: Mabelini Batista Mateus , Carnut Leonardo , Mendes Aquilas
Published: June 2021

Este artículo analiza las consecuencias reales del consenso de Washington para el capitalismo dependiente latinoamericano, a partir de la década de los noventa, con el fin de dilucidar y esclarecer los aspectos restrictivos en términos sociales y económicos para los países de la región, especialmente en relación con vulnerabilidad externa y relaciones laborales, a la luz de la teoría marxista de la dependencia. Utilizamos una interpretación materialista histórica de esta relación basada en datos cualitativos y cuantitativos. Así, el desarrollo del artículo se estructura en tres secciones. El primero analiza las bases conceptuales del Consenso de Washington en América Latina. El segundo se centra en el tema del capitalismo dependiente en los países latinoamericanos bajo la teoría marxista de la dependencia, y el tercero se centra en evaluar los efectos del Consenso de Washington sobre la intensificación del capitalismo dependiente en América Latina. A lo largo del argumento, demostramos cómo el Consenso de Washington fue el detonante necesario para el proceso de dependencia y sobreexplotación del trabajo en este continente.
Strength of RC Beam using Geopolymer Concrete and Adopting Bubble Technology
Authors: Deshmukh Abhinay I.
Published: June 2021

The Bubble Deck technology developed in Europe makes use of high-density polyethylene hollow spheres to replace the ineffective concrete in the centre of the slab, thus decreasing the dead weight and increasing the efficiency of the floor. Concrete is good in compression and hence is more useful in the compression region than in the tension region. The reduction in concrete can be done by replacing the tension zone concrete. Keeping the same idea in mind, an attempt has been made to find out the effectiveness of plastic bubbles by replacing concrete in the tension zone of Ordinary Portland Cement Concrete (OPCC) and Geopolymer Concrete (GPC) beam. Geopolymer Concrete does not form calcium- silicate-hydrates (CSHs) for matrix formation and strength like OPCC but utilizes the polycondensation of silica and alumina precursors to attain structural strength. In this project, M25 concrete mix is used to prepare both OPCC and GPC beams. The trial mix is tested for compressive strength. Flexure test is done is done for 28 days of curing of the beams. This paper presents the results of the experimental investigations carried out to determine and to compare the flexural behaviour of geopolymer concrete (GPC) beams with conventional concrete beams of same grade. The beams were tested under two point monotonic loading. Performance aspects such as load carrying capacity, first crack load, ultimate load, load-deflection behaviour, moment-curvature behaviour, crack width, crack spacing and the modes of failure of both types of beams were studied. The test results showed that the geopolymer concrete exhibits better performance compared to conventional concrete of same grade.
Skin Cancer Detection and Classification using KNN Technique
Authors: Swamy Apeksha R
Published: June 2021

Skin cancer is a major health issue worldwide. Skin cancer detection at an early stage is key for an efficient treatment. Lately, it is popular that, deadly form of skin cancer among the other types of skin cancer is melanoma because it's much more likely to spread to other parts of the body if not identified and treated early. The advanced medical computer vision or medical image processing take part in increasingly significant role in clinical detection of different diseases. Such method provides an automatic image analysis device for an accurate and fast evaluation of the sore. The steps involved in this project are collecting skin cancer images from PH2 database, preprocessing, segmentation using thresholding, feature extraction and then classification using K-Nearest Neighbor technique (KNN). The results show that the achieved classification accuracy is 92.7%, Sensitivity 100% and 84.44% Specificity.
Forensic Verification and Detection of Fake Video using Deep Fake Algorithm
Authors: Kale Prachi
Published: June 2021

In the course of the most recen years, the ascent in cell phones and interpersonal organizations has made computerized pictures and recordings basic advanced articles. per reports, right around two billion pictures are transferred every day on the web. This gigantic utilization of computerized pictures has been trailed by an increment of methods to change picture substance, utilizing altering programming like Photoshop for instance. Counterfeit recordings and pictures made by deepFake methods turned into a decent open issue as of late. These days a few procedures for facial control in recordings are effectively evolved like FaceSwap, deepFake, and so on On one side, this innovative progression increment degree to new regions (e.g., film making, special visualization, visual expressions, and so on) On the contrary side, repudiating, it likewise expands the advantage inside the age of video frauds by malignant clients. In this manner by utilizing profound learning strategies we can distinguish the video is phony or not. to recognize these malevolent pictures, we are visiting foster a framework which will naturally identify and survey the trustworthiness of advanced visual media is in this way crucial. Deepfake could be a procedure for human picture union upheld AI, i.e., to superimpose the predominant (source) pictures or recordings onto objective pictures or recordings utilizing neural organizations (NNs). Deepfake aficionados are utilizing NNs to give persuading face trades. Deepfakes are a sort of video or picture imitation created to spread deception, attack protection, and veil the truth utilizing cutting edge innovations like prepared calculations, profound learning applications, and figuring. they need become an irritation to online media clients by distributing counterfeit recordings made by melding a big name's face over a precise video. The effect of deepFakes is disturbing, with lawmakers, senior corporate officials, and world pioneers being focused by loathsome entertainers. A way to deal with distinguish deepFake recordings of legislators utilizing transient consecutive edges is proposed. The proposed approach utilizes the strong video to separate the edges at the essential level followed by a profound profundity based convolutional long memory model to recognize the phony casings at the subsequent level. Additionally, the proposed model is assessed on our recently gathered ground truth dataset of produced recordings utilizing source and objective video edges of renowned lawmakers. Trial results exhibit the viability of our strategy.
Analysis of Multistoried RCC Building with Shear Wall and Outrigger using ETABS Software
Authors: Dhoke Prof. Subodh
Published: June 2021

During earthquakes, a large number of buildings are destroyed due to the cause of lateral forces and increased load capacity in the structural element, and this is caused by winds, earthquakes and uneven settlement of cargo. The least damage and well-being a healthy level of construction is a necessary requirement for tall buildings. To reduce the impact of damage on all high structures, it may consist of basic insulation techniques and sliding walls, and so on. Buildings are used to increase design performance and limit damage to landslide walls. On tall buildings to prevent earthquake loads, reinforced concrete walls are used as supporting elements. Reinforced concrete structures are mainly implemented in engineering practice in different situations and different applications. Many researchers turn to the effectiveness of sliding walls with boundary conditions based on different types of reinforcement alignment. This document consists of modeling different models for the shear wall housing and the hood system.
Crime Data Analysis in San Francisco, Seattle and India using OpenStreetMap
Authors: D Tamilaruvi
Published: June 2021

Crime is rampant in our society for a very expert. San Francisco, Seattle and Indian Police Departments continued to schedule many lawbreaker cases occurring every day and have liberated this information to the community as factor of an uncovered data system. In this project, data interpretation applied to these databases. The focus will be on conducting a detailed interpretation of the prime offences that occur in the town, identifying age trends, and determining how various factors, such as the seasons, contribute to a particular offence. In crime analysis, performing pre-data processing, data visualization on OpenStreetMap, data integration, temporal styles, and correction analysis using R and R studio software. To carry out this procedure using the San Francisco, Seattle and Indian Police Department's Data Databases.
Review on Indirect Emergency HealthCare
Authors: Dongare Shruti
Published: June 2021

Indirect Emergency HealthCare is a mobile application which is developed in Android using multiple technologies and platforms. This project mainly provides the communication between Ambulance and various devices such as people on the roads or in the route of the ambulance Traffic Signal, and Computers in Hospital. This application also uses to book the ambulance and can make a call depending upon the situation. The user application (informer) can track the ambulance location through GPS at the same time people on the upcoming route of ambulance can get the alert message and alarm like a siren on their smartphones before 0.5 kilometers to make a path clear so that ambulance can get the fastest route to save the life of the patient.
Recommendations of Insurance Products based on User Behaviour
Authors: Alamanda Sirisha
Published: June 2021

The remarkable increase in competition within the insurance sector has resulted in an overwhelming number of insurance products being available in the market. With rapid development of recommendation system, how to accurately predict Insurance policies using user lifestyle choices has become more and more important. The problem with the traditional systems is data sparseness. This paper proposes a recommender system to predict insurance products for new and existing customers. The main goal of the proposed system is to generate personalized recommendations based on the user lifestyle practices. By providing accurate personalised recommendations, the customer experience with the insurers can be improved.
Phishing Website Detection using Machine Learning
Authors: Kankrale Prof. Rajendra
Published: June 2021

Phishing is not a legal activity, in this people are misguided into the wrong websites using various types of fraudulent methods. The main objective of this phishing websites is to seize all personal information or financial details for own personal benefits or misuse. As the technology facilitates, the phishing approaches used needs to get progressed and therefore there is urgent need for better security and better mechanisms to prevent as well as detect this phishing approaches. The primary focus of this paper to put forward a model as a solution to detect phishing websites by using the URL detection using Random Forest Algorithm. There are basically three major phases such.
AI Enabled Face Mask Detector
Authors: Patil Shivraj
Published: June 2021

Covid-19 pandemic is causing a global health crisis. To battle against the virus everyone should wear a face mask. The face mask detector in this study is developed with a machine learning algorithm called MobileNetV2 which is an image classification method. The steps to build the model are collecting the data, pre-processing, split the data, testing the model and implement the model.
Design and Simulation of Counter Flow Heat Exchanger with Fins and Internal Ribs
Authors: Kumar Dr. Asheesh
Published: June 2021

A Heat Exchanger is a device to transfer heat from fluid at higher temperature to fluid at lower temperature with highest efficiency. Designed for various applications such as preheating the water before sending it into boiler for generation of steam. This work is carried out with the primary objective of increasing the thermal efficiency of the procedure heat transfer process. There are different types of heat exchangers from which shell and tube heat exchanger is considered for this present work. High temperature water passes through the copper tubes and low temperature water flows outside the copper tubes. To enhance the rate of heat, transfer the modified design is implemented. The design consists of fins outside the copper tubes to increase the surface area in contact with outside fluid. Also, ribs are provided inside the copper tubes for increasing the turbulence along with more area of contact. This paper mainly deals with design, modelling and CFD analysis of the heat exchanger. Overall heat transfer coefficient of the fins and internal ribs of heat exchanger is based on the results of effectiveness-NTU approach and LMTD approach. Modelling of various components are presented with the help of standard modelling software, solid works. Simulation of the process is done using ANSYS. The simulated results obtained in the software are compared with the published experimental results which are very close to our modified design heat exchanger and it is found that the results are very close to experimental results.
Python: A Quintessential approach towards Data Science
Authors: Wazarkar Aniket M.
Published: June 2021

Python is an interpreted object-oriented programming language that is sustainably procuring vogue in the field of data science and analytics by fabricating complex software applications. Establishing a righteous nexus between developers and data scientists. Python has undoubtedly become paramount for data scientists mindful of cosmic and robust standard libraries which are used for analyzing and visualizing the data. Data scientists have to deal with the exceedingly large amount of data alias as big data. With elementary usage and a vast set of python libraries, Python has doubtlessly become an admired option to handle big data. Python has developed and evolved analytical tools which can help data scientist in developing machine learning models, web services, data mining, data classification, exploratory data analysis, etc. In this paper, we will scrutinize various tools which are used by python programmers for efficient data analytics, their scope with contrast to other programming languages.
Facial Expression Recognition with Appearance Based Features of Facial Landmarks
Authors: Snehitha Kanaparthi
Published: June 2021

Artificial intelligence technology has been trying to bridge the gap between humans and machines. The latest development in this technology is Facial recognition. Facial recognition technology identifies the faces by co-relating and verifying the patterns of facial contours. Facial recognition is done by using Viola-Jones object detection framework. Facial expression is one of the important aspects in recognizing human emotions. Facial expression also helps to determine interpersonal relation between humans. Automatic facial recognition is now being used very widely in almost every field, like marketing, health care, behavioral analysis and also in human-machine interaction. Facial expression recognition helps a lot more than facial recognition. It helps the retailers to understand their customers, doctors to understand their patients, and organizations to understand their clients. For the expression recognition, we are using the landmarks of face which are appearance-based features. With the use of an active shape model, LBP (Local Binary Patterns) derives its properties from face landmarks. The operation is carried out by taking into account pixel values, which improves the rate of expression recognition. In an experiment done using previous methods and 10-fold cross validation, the accuracy achieved is 89.71%. CK+ Database is used to achieve this result.
A Deep Learning Approach for Drug Target Interaction Prediction
Authors: Verma Uday
Published: June 2021

Соmрuter simulаtiоn sо саlled ‘in siliсо’ teсhniques fоr рrediсtiоn оf drug tаrget interасtiоns соnstitute аs а сritiсаl рhаse in the рrосess оf effiсient, соst effeсtive аnd reliаble develорment рrосess. Drug‐Tаrget interасtiоn (DTI) рlаys аn imроrtаnt rоle in drug disсоvery, drug reроsitiоning аnd understаnding the side effeсts оf the drugs whiсh helрs tо identify new therарeutiс рrоfiles fоr vаriоus diseаses. Therefоre, develорing соmрutаtiоn methоd tо рrediсt роssible Durg-Tаrget соmbinаtiоns-interасtiоns with less рrоbаbility оf High роsitive rаtes is neсessаry. Here we inсоrроrаte Deeр Leаrning аррrоасh with grарh bаsed соmрutаtiоnаl methоd fоr Drug Tаrget Interасtiоn Рrediсtiоn. We соmbine similаrity bаsed аs well аs feаture seleсtiоn-bаsed methоds with exрlоiting Grарh teсhniques suсh аs Grарh embedding, grарh mining sо аs сreаte а mоdel bаsed оn the heterоgenоus netwоrk. Heterоgenоus netwоrk is thus соnstruсted by suррlementing the knоwn drug-tаrget interасtiоn grарh with drug-drug аnd tаrget-tаrget similаrities grарh in оrder tо drаw terminаl heterоgenоus grарh аfter using similаrity seleсtiоn methоd рrосedure аnd аlgоrithm. Соmраred tо оther соmрuter methоds develорed tо рrediсt DTI, we асhieved а signifiсаntly imрrоved рrediсtiоn sсоre using fоur benсhmаrk sets оf dаtа. АUРR sсоre асrоss аll dаtаbаses (0.92) whiсh is imрrоved by оver 30% relаtive tо seсоnd best рerfоrming mоdel.
Transfer of Secret Data using Re-encryption Technique with Hyperledger Fabric based on Blockchain Technology
Authors: Adhau Bhagyashri H.
Published: June 2021

The Personal health record system (PHR system) which stores health-records patient's information. PHR system allows the one Hospital to manage and share his/her data with selected other individuals. The originality or tamper resistance feature is crucial for PHR system because it contains sensitive information about patients. Blockchain technology with the personal blockchain becomes a potential, great solution due to its immutability properties. Unfortunately. This work aims to propose a blockchain-based PHR model. The proposed model is built using the Hyper-ledger Fabric concept to support a tamper resistance feature. Re-encryption and other cryptographic techniques Such as Advanced Encryption Standard and Hashing algorithms are employed to preserve privacy. The proposed model include flexible access control, security concerns, auditability. A detailed security analysis of our model shows that the it is provably secure for Security and privacy preserving.
Stock Market Prediction using Machine Learning
Authors: B S Prof. Gowrishankar
Published: June 2021

Stock market is one of the most complicated and sophisticated ways to do business. Small ownerships, brokerage corporations, banking sectors, all depend on this very body to make revenue and divide risks; a very complicated model. However, this paper proposes to use machine learning algorithms to predict the future stock price for exchange by using pre-existing algorithms to help make this unpredictable format of business a little more predictable. The use of machine learning which makes predictions based on the values of current stock market indices by training on their previous values. Machine learning itself employs different models to make prediction easier and authentic. The data has to be cleansed before it can be used for predictions. This paper focuses on categorizing various methods used for predictive analytics in different domains to date, their shortcomings.
A Research paper on Typing Speed Tester Game using Python & Tkinter
Authors: Gupta Abhishek
Published: June 2021

In this Python project , our goal is to build a game in which user can check and even improve typing speed. For a graphical user interface, we will be going to use the Tkinter library in Python which is used for working with graphics. A typing speed test help you to check your typing speed and improve it with regular practice. With the python project, learn to build an application using Tkinter library that can detect typing speed of user with accuracy. The project contains only the user side. It is a simple typing challenge game project. This is like a game, one-by-one random word will pop up on your screen and you have to type as many given words as you can, within 60 seconds. The design of this project is pretty simple so that the user won’t find any difficulties while working on it.
Real Time Driver Drowsiness Detection System using OpenCV
Authors: H Ritish
Published: June 2021

Most knowledge is transmitted by the eyes, an essential part of the body. When an operator is in a state of exhaustion, facial expressions, e.g., blinking and yawning rate, vary from those in normal condition. In this venture, we are proposing a system named Driver-Drowsiness Detection System, which monitors the exhaustion state of the drivers, such as yawning, and eye closing length, using video clips, without equipping their bodies with sensors. We are using face-tracking algorithm to improve tracking reliability due to the limitations of previous algorithms. We have used facial region detection method based on 68 key points. Then we use these areas of the head to determine the condition of the passengers. Through integrating the eyes and mouth, Driver-Drowsiness Detection System can use an exhaustion alarm to alert the driver.
Electrification in Ship
Authors: Ahad Dr. Shaik Abdul
Published: June 2021

In ships electricity is generated by the use of alternators. These alternators are equipped with an inbuilt rectifier which gives a DC output. Depending on the speed of the alternator the output voltage will be either 48-volts or 12-volts. Now the ship generally has two different batteries with 48-volts (housing battery’s) and 12-volts (Engine block battery’s). These batteries are responsible for providing power for both engine block and for housing purpose as well. This battery’s need to be charged. When the alternator is providing a output voltage of 48-volts the 48-volts will be directly charged and a buck convertor is used to step down the voltage from 48-volts to 12-volts and charge 12-volts battery’s. when the alternators are providing a voltage of 12-volts the 12-volt batteries are directly charged and if they charge fully the the boost convertor is used to step-up the voltage and charge the 48-volts battery. Depending on speed of the alternator the output voltage varies to defined values and based on these either boost or buck operation takes place.
Patrón de prescripción de riluzol en una población de pacientes con enfermedad de neurona motora.
Authors: Calvo-Torres Luis Felipe , Vera-Polania Felipe , Ayala-Torres Juan D. , Solano-Atehortua Juan M. , Machado-Alba Jorge E.
Published: June 2021

OBJETIVOS:
Determinar el patrón de prescripción de riluzol y las variables asociadas a su utilización en una población de pacientes con enfermedad de neurona motora afiliados al Sistema General de Seguridad Social en Salud de Colombia (SGSSS) en 2017.
METODOLOGÍA:
Estudio descriptivo de corte transversal. Mediante una base de datos sistematizada de aproximadamente 3,5 millones de afiliados al SGSSS de Colombia; se seleccionaron pacientes a quienes se les haya dispensado riluzol de manera ininterrumpida entre 1 abril y 30 junio de 2017. Se analizaron variables socio-demográficas, farmacológicas y las comorbilidades. Se estimaron la dosis diaria definida (DDD) por 1.000 habitantes/día y los costos.
RESULTADOS:
Se encontraron 81 pacientes con enfermedad de neurona motora recibiendo riluzol, con edad promedio de 60,8+12,6 años. El 48,1% eran hombres. La prevalencia de enfermedad de neurona motora fue 2,29/100.000 personas. Los pacientes recibieron riluzol en tabletas de 50 mg y se estimó la dosis en 0,016 DDD por 1.000 habitantes/día. El 63% recibían medicamentos que reflejan comorbilidad o pudieran tener interacción con riluzol. El costo total del riluzol dispensado en 2017 fue USD 85.348 y por dosis diaria prescrita en promedio fue USD 2,3.
CONCLUSIONES:
El uso de riluzol en pacientes con enfermedad de neurona motora en Colombia se realizó a las dosis recomendadas por la OMS y con un costo directo menor al reportado en otros países. Se recomienda realizar estudios que permitan determinar la efectividad del riluzol en condiciones de la vida real.
Síndrome de burnout en los neurólogos colombianos: prevalência y factores asociados
Authors: Muñoz-Cerón Joe Fernando , Gallo-Eugenio Loren Marcela , Figueroa Vargas Daniel Arturo
Published: June 2021

INTRODUCCIÓN:
El síndrome de burnout es una condición de prevalência creciente que afecta la calidad de vida y los resultados laborales de quienes lo padecen.

OBJETIVO:
Describir la prevalencia y factores asociados del síndrome de burnout en neurólogos colombianos.

METODOLOGÍA:
Mediante encuesta autoadministrada se obtuvo información de 119 neurólogos laboralmente activos en Colombia. Se incluyeron datos correspondientes a variables sociodemográficas junto con la escala Maslasch Burnout Inventory. Para calcular la correlación estadística de variables se utilizó regresión logística.

RESULTADOS:
El síndrome de burnout se determinó en el 49,6 % de los entrevistados (afectación de 2 o más dimensiones). Esta condición se correlacionó con el sexo femenino (P=0,036), el número de horas trabajadas por semana (P=0,040) y la frecuencia de satisfacción con el trabajo (P<0,001). La práctica de actividades de esparcimiento fue estadísticamente significativa (P=0,024) como factor protector.

CONCLUSIÓN:
El síndrome de burnout es una condición prevalente en los neurólogos en Colombia. Esta información es útil para la creación de políticas encaminadas a mejorar las condiciones del ejercicio de esta especialidad en nuestro país.
Manifestaciones cardiovasculares de la enfermedad de Parkinson: revisión de la literatura
Authors: Henao Piedrahita Natalia , Pérez Correa Sebastián , Vásquez Builes Santiago , Díaz Silva Gustavo Adolfo
Published: June 2021

La enfermedad de Parkinson es la segunda enfermedad neurodegenerativa más prevalente en el mundo, y sus manifestaciones cardinales son la bradicinesia, el temblor y la rigidez. Aunque ha sido considerado un trastorno motor, actualmente se considera como un trastorno neurológico complejo que afecta diferentes sistemas, por lo que genera manifestaciones motoras y no motoras variadas, además de manifestaciones autonómicas sistémicas. Las manifestaciones cardiovasculares en pacientes con enfermedad de Parkinson son frecuentes y, además, provocan un gran impacto sobre la calidad de vida. A continuación, se realiza una revisión narrativa de las principales manifestaciones cardiovasculares de la enfermedad de Parkinson, y de sus mecanismos fisiopatológicos.
El rol del eWOM en la comunicación de RSC en redes sociales
Authors: Aguirre Claudia , Ruiz Salvador , Palazón Mariola , Rodríguez Augusto
Published: June 2021

Las empresas tratan de innovar en sus estrategias de comunicación para ofrecer información tanto sobre sus bienes y servicios, como información corporativa relacionada con las actividades de RSC que la empresa lleva a cabo. En la actualidad, la comunicación sobre RSC es muy importante y poco se sabe acerca de la mejor forma de hacerlo. En este sentido, las redes sociales se han convertido en un importante canal de comunicación entre empresas y consumidores. A través de las redes sociales, los individuos comparten contenido con otros usuarios, pero también pueden apoyar a la empresa con la difusión de la información relativa a sus actividades. Esta difusión de información en entornos electrónicos se conoce como eWOM.

El objetivo de este trabajo es analizar el rol del eWOM en la difusión de la información de RSC de la empresa. Para ello, se realiza un estudio basado en la metodología del análisis de contenido que contrasta si aquellas publicaciones de la empresa en la red social Facebook con contenido de RSC generan más interacciones de  os consumidores que las publicaciones con información de tipo comercial. Los resultados obtenidos corroboran que la empresa conseguirá que se difunda más su información en términos de eWOM cuando sus publicaciones contienen información de RSC, puesto que dichas publicaciones logran un mayor número de me gustas y comentarios, a la vez que son compartidas en una mayor medida.
Capitalismo y arqueología tecnológica: análisis sobre el uso de dispositivos digitales
Authors: Yarad Jeada Valeria
Published: June 2021

La crisis económica mundial que empezó en 2008 ha generado una caída del poder adquisitivo, reducción del consumo y contracción de la economía. Sin embargo, en medio de la crisis, se desarrolla una vorágine tecnológica que va a la par de un nuevo capitalismo mediante el incremento del uso de dispositivos digitales. El objetivo de este trabajo es analizar las nuevas claves de un capitalismo tecnológico generado por la democratización del consumo de bienes y servicios digitales y una arqueología tecnológica con periodos de obsolescencia cada vez más cortos. Es relevante la comprensión de este tipo de cambios, ya que permiten observar la relación entre el hombre y la tecnología y los usos que hacen de ella, con un enfoque en mejorar su calidad de vida y cerrar brechas como lo es la digital. Este trabajo usa una metodología del tipo documental de datos secundarios a nivel mundial sobre consumo tecnológico y su uso a través de datos provenientes de ITU, Cepal, Eurostat y otros. Además, se realizó un análisis temporal del Smartphone desde el 2008 para establecer el crecimiento de su uso, teniendo en cuenta que ésta una de las tecnologías más utilizadas. Entre los hallazgos más notorios se evidencia que más del 75 % de la población a nivel mundial cuenta con un teléfono móvil, concluyendo que esta tecnología facilita la gestión de la vida cotidiana en todos los aspectos: laboral, familiar, educativo, social, etc., es así que el Smartphone se convierte en una “navaja suiza” que facilita el diario vivir del ser humano.
Hacia la comprensión del engagement en jóvenes universitarios mexicanos con Instagram TV
Authors: García-Béjar Ligia
Published: June 2021

El propósito de este artículo es describir las experiencias que los jóvenes universitarios mexicanos de la ciudad de Guadalajara (México) tienen con Instagram TV. La importancia de este estudio deriva de que el engagement es un concepto relevante para medir la inversión de tiempo, atención y los detonantes que motivan a una persona a consumir determinada plataforma o contenido, sobre todo de redes sociales. A partir de su conceptualización y medición, es posible tener elementos para cuantificar, con indicadores claros, la calidad de la experiencia de los usuarios con los medios digitales que consumen. Esta experiencia se compone de varios atributos que tienen algún tipo de efecto sensorial, de percepción, de atención, de emoción, de cognición y de retroalimentación. Instagram, la red social para compartir imágenes fijas y en movimiento, es una de las plataformas con mayor nivel de crecimiento en los últimos años. A través de la metodología cuantitativa y un análisis factorial, se establecieron los principales atributos de engagement que jóvenes mexicanos perciben experimentar con IGTV. Los resultados sugieren que los jóvenes mexicanos consumen Instagram TV motivados por necesidades de entretenimiento y por su interés en temas diversos y en personas que comparten la información que les interesa. IGTV les genera valor respecto a decisiones de compra y de información relevante para su vida y, en resumen, les interpela a pensar y reflexionar y a conectarse emocionalmente con comunidades y personas.
Medios digitales y funcionalismo: reflexiones del estreno de Joker
Authors: Cruz-Mendoza Erick Daniel
Published: June 2021

Joker es una cinta que obtuvo relevancia por dos aspectos: los halagos de la crítica luego de su presentación en el Festival de Cine de Venecia (28 de agosto al 7 de septiembre de 2019) al recibir el máximo galardón del evento, León de Oro, y por la polémica generada previo a su estreno al público. En ese sentido, el propósito de este trabajo es identificar las relaciones cualitativas entre el estreno de la cinta Joker y la histeria colectiva expresada en las redes sociodigitales a partir de los postulados del sociofuncionalismo en comunicación. Este fenómeno adquiere sentido a partir de las noticias presentadas por los medios informativos previo al estreno de la cinta y a la respuesta del público, el cual se mostró polarizado. Se recurre al análisis de una muestra no probabilística como evidencias para atender la insuficiencia de las analogías funcionalistas en su intento por retratar fenómenos que se vinculan directamente con las lógicas de los nuevos medios digitales.
It is Time to Consider Sensory Urban Experiences: Looking into Today’s Istiklal Street, Istanbul Through the Thresholds of Auditory Experiences
Authors: Nisa Kartal Asiye
Published: June 2021

In the latest years, the changing socio-cultural structure, economic and political movements, law and city regulations, innovative transportation and communication activities have resulted in a modification of the city of Istanbul. In this process, numerous intangible features of urban places in Istanbul have modified, gone, or changed; and unavoidably the ‘sensory urban experiences’ of Istiklal Street, which is one of the important urban places of Istanbul, have changed controversially. This study asserts that the ‘sensory urban experiences’ of Istiklal Street needs to be examined as much as possible to criticize the sensory reflections of the latest modifications in the area. This study focuses on the ‘auditory experiences’ of Istiklal Street to understand what has been lost and changed in terms of the auditory atmosphere of the area. Therefore, the method of ‘Sensewalking’, which is an efficient research tool to generate knowledge on the urban experiences beyond visual experiences, is used to catch the auditory experiences of the area. This study says that producing the knowledge on the sensory urban experiences beyond visual features is worthwhile, and this could open new ways for discussing the urban matters especially in the field of architecture, and urban studies.
DWELLING FIRE SAFETY EVACUATION (DFSE): A SYSTEMATIC REVIEW
Authors: Abdul Aziz Nurul Ayuni , Mohd Nordin Rumaizah , Ismail Zulhabri , Yunus Julitta , Hashim Norfashiha
Published: June 2021

Fire is an ignition of heat and smoke materials, which can pose a significant life and property threat. Residential fire in Malaysia has a high percentage of fire cases due to electrical sources, cooking appliances, defective of equipment, careless and negligence. Evacuation during fire is the most critical features in building safety. This includes the utilization of Building Information Modelling (BIM) in developing a good and efficient fire evacuation. This research paper aims to propose and established a conceptual framework of Dwelling Fire Safety Evacuation (DFSE). This paper utilizes the technique of systematic overview from previous research which includes journals, conferences proceedings, reports, framework and guidelines. The outcome of this paper consists the elements of dwelling fire safety evacuation including the element of Fire Scenarios (i.e., Fire characteristic, Building characteristic and Occupant characteristic), Influences Perceived Risk (i.e., Individual-Based, Physical and Social), Survival Strategy (i.e., extinguish, shelter and evacuation) and Safety (i.e., shortest time and awareness) which contributed to the development of the conceptual framework. These findings will assist the extended investigation of DFSE for accidental fire situations.
STAKEHOLDERS INVOLVEMENT IN MITIGATING DISASTER PREVALANCE FOR EFFECTIVE DISASTER MANAGEMENT
Authors: Al-Fazari Saeed , Kasim Narimah
Published: June 2021

A literature search showed that studies on the categorization and roles of stakeholders engaged in disaster management are still in dearth. This could not be unrelated to the global trend of natural and man-made disasters. The objective of this research is therefore to examine the role played by stakeholders in combating the incidence of disasters in our modern culture. An audit of suitable writing is the method utilized to collect fitting data. The investigation found diverse strategies of categorizing calamity administration partners in past investigate. This investigates, after investigating current writing, distinguished critical partners, counting but not limited to government and its parastatals, NGOs, benefactors, the private segment, media, the scholarly world, territorial collaboration, community / citizen and the prompt environment. Based on the concept of partners, the acceptance that much might be fulfilled within the locale of calamity administration in case all partners are completely recognized, well-coordinated and regarded. In conclusion, this inquires about offers supportive information on the part of partners in relieving the rate of catastrophes to ensure productive administration of fiascos.
An exposition of the Socio-Economic Impacts of Construction Site Accidents in Nigeria
Authors: VN Okorie , CC Adindu
Published: June 2021

Nigeria’s construction sector is a key to the development of national economy, especially its contribution to employment creation and value addition to the national gross domestic product. The mode of workforce recruitment, job retention and disengagement are largely informal with an attendant high rate of construction site accidents often resulting in injuries and fatalities to persons and properties. This study examines the social and economic effects of site accidents on Nigerian economy. Descriptive survey research was employed with structured questionnaire as research design and administered to twenty major construction companies operating within southern Nigeria. Interviews were also conducted with owners/directors, contract managers, construction project managers, health and safety officers, site managers, affected workers and families alike to validate study results. Data obtained from field survey were analyzed. The study revealed loss of company productivity, reduction in living standards as having the most economic impacts on construction companies and their affected workers/families respectively. Additionally, loss of customers’ confidence and loss of the family bread winner represents the highest social impacts on the construction companies and affected workers/ families. The study concludes that there is existence of low commitment towards workers’ health, safety and general wellbeing by Nigerian construction firms. The study therefore, recommends that government at all levels should enact and strictly enforce Construction Industry Health and Safety Laws, and sanction firms that contravene Health and Safety Regulations. Furthermore, construction firms irrespective of size should demonstrate visible leadership towards workers’ health and safety.
Ineffective Public Participation for EIA: The Cause of Environmental Issues in Malaysia?
Authors: Makmor Maisarah , Salleh Hafez , Nordin Nikmatul Adha
Published: June 2021

Environmental Impact Assessment (EIA) foster communication between participators to yield a more environmentally sound decision for a proposed development. Public participation is an integral element in EIA to ensure a successful EIA. Effective public participation encourages community empowerment, fair and democratic decisions and reduce thus avoid public confrontation and delay. Effective public participation is one of the key pillars to achieve effective EIA. Environmental issues are known to be the negative outcome of a poorly implemented EIA process. This paper discusses seven environmental cases that were produced from ineffective application of EIA such as Bakun Dam, Murum Dam, Baram Dam, bauxite mining in Kuantan, gold mining in Bukit Koman, sturgeon farming in Kuala Tahan and Lynas plant. The seven cases focused on the lack of public participation in the administration of EIA. Public objections and protests were results of ineffective public participations and ineffective EIAs in the chosen cases. Four out of seven cases have made substantive results where the projects stopped or ceased due to the public objections. Meanwhile, the three cases went on till today. Conclusively, these cases has shown that public participation in EIA is a valuable tool which encourages transparent decision-making process and defies corrupted influences.
A novel sensitive colorimetric determination of catecholamine drug in dosage form via oxidative coupling reaction with MBTH and potassium ferricyanide
Authors: Ashour Safwan
Published: June 2021

A new and direct colorimetric method has been established for the determination of catecholamine (methyldopa, MD) in both pure form and in pharmaceutical formulations. The method is based on the oxidative coupling reaction of MD with 3-methyl-2-benzothiazolinone hydrazone hydrochloride monohydrate (MBTH) and potassium ferricyanide at pH 10.4 in aqueous medium to form an orange product that has a maximum absorption at 460 nm. Beer's law plot showed good correlation in the concentration range of 1.0−56.0 µg mL-1, with detection limit of 0.31 µg mL-1. Molar absorptivity for the above method was found to be 6.56×103 L mol-1 cm-1. All the measurements were carried out at 25 ± 1.0 °C, the formation constant (logKf) value of colored species is 9.48 and the standard free energy (DG‡) is − 54.09 KJ mol-1. This method was applied successfully to determination of MD in tablets and the results were compared with the USP method. Common excipients used as additives in tablets do not interfere in the proposed method. The method is accurate, precise and highly reproducible, while being simple, cheap and less time consuming and hence can be suitably applied for routine analysis of MD in bulk and dosage forms.
Expenditure Per Capita Model with Spatial Small Area Estimation
Authors: Risal Ahmad
Published: June 2021

Indonesia is one of many countries around the world that attempt to suffer from high poverty rates. Since, poverty information in a certain area is a point of interest to researchers and policy makers. One problem faced is for the development program to be carried out more effectively and efficiently, it is necessary to have data availability up to the micro-scale. The technique used to reach the goal is Small Area Estimation (SAE). Fay-herriot (FH) model is one method on Small Area Estimation. Since, the SAE techniques require “borrow strength” across neighbor areas so thus Fay-Herriot model approach was developed by integrating spatial information into the model. This method known as Spatial Fay-Herriot Model (SFH) or Spatial Empirical Best Linear Unbiased Prediction (SEBLUP). This study aims to compare MSE of direct estimation, FH, and SFH Model to see which method gives the best result in estimating expenditure. The MSE value of the estimated SFH is smaller than direct estimation and FH, but it does not significant. It means adding spatial information in the small area estimation model does not give a better prediction than the simple small area estimation which is takes account the area as a specific random effect.
Rodent-mediated plant seed dispersal: what happens to the seeds after entering the gaps with different sizes?
Authors: Yu Fei , Li Guangjie , Wei Shanshan , Yi Xianfeng , Ma Jianmin , Ma Keming , Chen Guangwen
Published: June 2021

In general, it is accepted that gap formation significantly affects the
placement of scatter-hoarded seeds by small rodents, but the effects of
different forest gap sizes on the seed-eating and scatter-hoarding
behaviors of small rodents remain unclear. Thus, we examined the effects
of a closed canopy forest, forest edge, and gaps with different sizes on
the spatial dispersal of Quercus variabilis acorns and cache placement
by small rodents using coded plastic tags in the Taihang Mountains,
China. The seeds were removed rapidly and there were significant
differences in the seed-eating and caching strategies between the stand
types. We found that Q. variabilis acorns were usually eaten after being
removed from the closed canopy forest and forest edges. By contrast, the
Q. variabilis acorns in the forest gap stands were more likely to be
scatter hoarded. The dispersal distances of Q. variabilis acorns were
significantly longer in the forest gap plots compared with the closed
canopy and forest edge plots. However, the proportions of
scatter-hoarded seeds did not increase significantly as the gap size
increased. In small-scale oak reforestation projects or research,
creating small gaps to promote rodent-mediated seed dispersal may
effectively accelerate forest recovery and successional processes.