bluuebunny/crossref_metadata_2025 huggingface dataset:
Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework
Authors: Kleinert Felix , Leufen Lukas Hubert , Lupascu Aurelia , Butler Tim , Schultz Martin G.
Published: May 2022

Abstract. Tropospheric ozone is a secondary air pollutant that is harmful to living beings and crops. Predicting ozone concentrations at specific locations is thus important to initiate protection measures, i.e. emission reductions or warnings to the population. Ozone levels at specific locations result from emission and sink processes, mixing and chemical transformation along an air parcel's trajectory. Current ozone forecasting systems generally rely on computationally expensive chemistry transport models (CTMs). However, recently several studies have demonstrated the potential of deep learning for this task. While a few of these studies were trained on gridded model data, most efforts focus on forecasting time series from individual measurement locations. In this study, we present a hybrid approach which is based on time series forecasting (up to four days) but uses spatially aggregated meteorological and chemical data from upstream wind sectors to represent some aspects of the chemical history of air parcels arriving at the measurement location. To demonstrate the value of this additional information we extracted pseudo observation data for Germany from a CTM to avoid extra complications with irregularly spaced and missing data. However, our method can be extended so that it can be applied to observational time series. Using one upstream sector alone improves the forecasts by 10 % during all four days while the use of three sectors improves the mean squared error (MSE) skill score by 14 % during the first two days of the prediction but depends on the upstream wind direction. Our method shows its best performance in the northern half of Germany for the first two prediction days. Based on the data's seasonality and simulation period, we shed some light on our models' open challenges with i) spatial structures in terms of decreasing skill scores from the northern German plain to the mountainous south and ii) concept drifts related to an unusually cold winter season. Here we expect that the inclusion of explainable artificial intelligence methods could reveal additional insights in future versions of our model.
stoPET v1.0: A stochastic potential evapotranspiration generator for simulation of climate change impacts
Authors: Asfaw Dagmawi Teklu , Singer Michael Bliss , Rosolem Rafael , MacLeod David , Cuthbert Mark , Miguitama Edisson Quichimbo , Gaona Manuel F. Rios , Michaelides Katerina
Published: May 2022

Abstract. Potential evapotranspiration (PET) represents the evaporative demand in the atmosphere for the removal of water from the land and is an essential variable for understanding and modelling land-atmosphere interactions. Weather generators are often used to generate stochastic rainfall time series; however, no such model exists for stochastically generating plausible PET time series. Here we develop a stochastic PET generator, stoPET, by leveraging a recently published global dataset of hourly PET at 0.1° resolution (hPET). stoPET is designed to simulate realistic time series of PET that capture the diurnal and seasonal variability of hPET and to support the simulation of various scenarios of climate change. The parsimonious model is based on a sine function fitted to the monthly average diurnal cycle of hPET, producing parameters that are then used to generate synthetic series of hourly PET at any 0.1° land surface point between 55° N and 55° S. stoPET also incorporates three methods to account for potential future changes in atmospheric evaporative demand to rising global temperature. These include 1) user-defined percentage increase of annual PET; 2) a step change in PET based on a unit increase in temperature, and 3) extrapolation of the historical trend in hPET into the future. We evaluated stoPET at a regional scale and at twelve locations spanning arid and humid climatic regions around the globe. stoPET generates PET distributions that are statistically similar to hPET, capturing its diurnal/seasonal dynamics, indicating that stoPET produces physically plausible diurnal and seasonal PET variability. We provide examples of how stoPET can generate large ensembles of PET for future climate scenario analysis in sectors like agriculture and water resources, with minimal computational demand.
Surface melt on the Shackleton Ice Shelf, East Antarctica (2003–2021)
Authors: Saunderson Dominic , Mackintosh Andrew , McCormack Felicity , Jones Richard Selwyn , Picard Ghislain
Published: May 2022

Abstract. Many ice shelves in Antarctica experience surface melt each summer, with potentially severe consequences for sea level rise. However, large interannual and regional variability in surface melt increases uncertainty in predictions of how ice shelves will react to climate change. Previous studies of surface melt have usually focused on either a process-level understanding of surface melt through energy balance investigations, or used regional melt metrics to quantify interannual variability in satellite observations of surface melt. Here, we use an approach that helps bridge the gap between work at these two scales. Using daily passive microwave observations from the AMSR-E and AMSR-2 sensors, and the machine learning approach of a self-organising map, we identify nine representative spatial distributions (“patterns”) of surface melt on the Shackleton Ice Shelf, East Antarctica, over the previous two decades (2002/03–2020/21). Our results point to a significant role for surface air temperatures in controlling the interannual variability of summer melt, and also reveal the influence of local controls on driving melt. In particular, prolonged melt in the south-east of the shelf and along the grounding line shows the importance of katabatic winds and surface albedo. Our approach highlights the necessity of understanding both local and large-scale controls on surface melt, and demonstrates that self-organising maps can be used to investigate the variability of surface melt on Antarctic ice shelves.
Too Few Black Male Educators
Authors: Jeter Floyd , Melendez John
Published: May 2022

In the United States, schools and universities have too few Black male teachers. Although many factors contribute to this significant problem, one primary factor is the existing lack of Black male educators to serve as role models for Black male students. This literature review captures information from peer-reviewed research, public scholarship sources, and empathy interviews. The purpose of this literature review was to understand the reasons why so few Black males are successful in school and why there are so few Black male students pursuing careers in education. Based on the literature review, the following themes were identified:  a lack of financial resources, a lack of a sense of belonging, a lack of role models and mentors, and institutional racism. Colleges need to consider these issues and determine ways to support Black male students in school and encourage them to pursue a career in education. Increasing the number of Black male educators is one central way to increase opportunities among Black students. To change this narrative, one needs to acknowledge the deficit of representation is due to the system itself. Black males are not lacking in achievement. American schools are exclusive and racist in how they provide opportunities for Black males.
Vital Norms: Canguilhem’s "The Normal and the Pathological" in the Twenty-First Century, edited by Pierre-Olivier Méthot
Authors: Simons Massimiliano
Published: May 2022

Review of Vital Norms: Canguilhem’s The Normal and the Pathological in the Twenty-First Century, edited by Pierre-Olivier Méthot
Reviewing the Reproduction Number R in Covid-19 Models
Authors: Amoretti Maria Cristina , Lalumera Elisabetta
Published: May 2022

Most of the epidemiological models of the Covid-19 pandemic contain the reproduction number (R) as a parameter. In this article we focus on some shortcomings regarding its role in driving health policies and political decisions. First, we summarize what R is and what it is used for. Second, we introduce a three-question matrix for the evaluation of any construct or parameter within a model. We then review the main literature about R to highlight some of its shortcomings and apply to them our three-question matrix. Finally, we argue that these shortcomings are important for an epistemic and political evaluation of R.
Fotoperiodismo y “fake news”. Genealogía y tipos de manipulación de la imagen: la Agencia EFE
Authors: Caballo Méndez Daniel , De Santiago Mateos Miguel Ángel
Published: May 2022

La imagen como soporte visual de la mentira, en paralelo a su reconocida capacidad para constituirse como evidencia de lo real, ha tenido desde sus inicios una gran repercusión social. Este artículo pretende analizar el fenómeno de las “fake news” en el ejercicio del fotoperiodismo y, en concreto, en la fotografía en el ámbito de los medios de comunicación; muy especialmente en el contexto de las agencias de noticias. El objetivo del trabajo tiene dos vertientes: por un lado, establecer como aproximación las herramientas y recursos –teniendo en consideración su evolución- que se han empleado para construir imágenes falsas desde el mismo momento de la invención de la fotografía y, en segundo término, señalar una posible tipología de manipulación de la imagen según las características establecidas, como denominador común, de las situaciones más destacadas por los estudios de referencia en la investigación realizada en este ámbito. Criterios que serán aplicados al estudio de un caso concreto, el de la manipulación de la imagen en la española Agencia EFE. Trabajo que evidencia la escasa manipulación fotográfica (“fake news” fotográficas) en la institución estudiada, permite concluir la existencia de calidad en la información fotoperiodística de agencia y constata la repercusión social de los casos de manipulación analizados.
Prioritization of Sub-watersheds of Kosi River Basin Using Morphometric Analysis and Geospatial Tools
Authors: Sourab Singh  , Vaibhav E. Gosavi  , Sandipan Mukherjee  , Kireet Kumar
Published: May 2022

This study aimed to use remote sensing (RS) and geographic information system (GIS) geospatial tools for morphometric investigation of a mid-Himalayan Kosi river basin in Uttarakhand, India. The sub- watersheds (SWs) were identified and prioritized into high, medium, and low level of priority based on the compound factor analysis for conservation of natural resources in the watershed, leading to sustainable watershed management. Total of 10 morphological parameters related to drainage network, basin geometry, and drainage texture were used for compound factor analysis. The drainage network of the river basin was dendritic in nature and exhibited homogeneity in texture and lack of structural control that helped in analysing terrain parameters as drainage density, infiltration capacity, runoff, bedrock nature, which control underground water movement. The stream-order estimated using the digital elevation model (DEM) having 12.5 m × 12.5 m spatial resolution ranged from first to seventh order streams. During prioritization of sub-watersheds using compound factor values, higher priority was assigned to sub- watersheds which yielded lowest compound factor and vice-versa. Sub-watersheds SW5 to SW7 covering an area of 396.18 km2 were noted to have highest priorities for soil erosion conservation measures; SW2, SW3 and SW8 had medium priorities; and SW1, SW9, and SW4 were assessed with lowest priorities. It is anticipated that the prioritization of sub-watersheds would be useful to planners, decision makers, and relevant stakeholders for implementation of soil and water conservation interventions for sustainable natural resources management within watershed.
Systematics and biostratigraphic notes of the upper Moscovian-upper Gzhelian fusulinid foraminifers from the Anatolian Platform in the Southern Turkey
Authors: Okuyucu Cengiz
Published: May 2022

The systematics and biostratigraphy of the upper Moscovian-upper Gzhelian fusulinid fauna of the Anatolian Platform have been investigated in three stratigraphic sections (Ozbek Tepe, Eskibey and Bademli) from the Eastern and Central Taurides. Forty fusulinid taxa belonging to sixteen genera and three subgenera are identified from the upper Moscovian-upper Gzhelian strata. Three species, Protriticites tokerae, Triticites guvenci and Triticites oezbekensis, are here described as new. This fusulinid succession allows assignment of particular parts of the sections studied to the upper Moscovian-upper Gzhelian in the Anatolian Platform, thus serving as a basis for further definition of biostratigraphic zones. The fusulinid faunas of the Anatolian Platform have close resemblance and are well correlative with the Upper Carboniferous (Middle and Upper Pennsylvanian) standard and reference sections of the Moscow Basin, Southern Urals, Donets Basin, Central Asia and Southern China.
A Study to Assess the Effectiveness of Structured Teaching Programme on Knowledge and Practice of Nasogastric Tube Feeding to Adult Patient among Nursing Personnel Working in Selected Hospitals, Bangalore
Authors: G Sathyavathy.
Published: May 2022

Administration of nutrients directly into the stomach, duodenum, or jejunum through a tube is more physiologically beneficial and cost effective than parenteral feeding. In the hospital settings, most of the critically ill patients are on naso gastric tube feeding to meet their nutritional needs. The unhygienic practices and improper insertion of naso gastric tube by the nursing personnel’s increases the risk of infection and other health hazards. Nursing practice still needs to understand how modern technology and instrumental device in naso gastric tube feeding works. Though the nursing personnel are handling the procedure with knowledge and skills, the exciting condition of the patient cannot be satisfied due to the misplacement of the tube. Hence the researcher conducted “A study to assess the effectiveness of structured teaching programme on knowledge and practice of Naso gastric tube feeding to adult patient among nursing personnel” working in selected hospitals, Bangalore. A quantitative research approach and Non probability convenient sampling technique was used. The sample was selected by using simple random technique was used to select 50 nursing personnel working in selected hospital, Bangalore. Structured questionnaire was used to assess the levels of knowledge and practice. Descriptive and inferential statistics were used for analysis and interpretation of data. Effectiveness of Structured teaching programme on the levels of knowledge and practice regarding Naso gastric tube feeding among nursing personnel was assessed by using Paired ‘t’test. Association between pretest knowledge level with the selected demographic variables was analyzed using Chi-square test.

Keywords: Naso gastric tube feeding, Nursing personnel, adult patient.
Prevalence of Wrist Pain in Young Tabla Players: Observational Study
Authors: Sable Neha A , Shinde Nisha
Published: May 2022

Background: The most popularly used percussion instruments in Indian classical music is Tabla. Playing a percussion instrument demands great force & effort, which may make percussionists prone to playing-related musculo skeletal disorders (PRMDs).
Method: A Prevalence study using convenience sampling technique was done from the music schools of Pune-Godse & Madhumati Sangeet Vidyalay with 104 subjects. The subjects aged between 11 to 25 yr old Both males & females who plays table atleast from1 yr. Wrist pain was assessed by using Numeric pain rating scale (NPRS) Subjects rated the pain in the scale of 0 No pain to 10 Worst pain at rest and after playing tabla.
Result : Prevalence of pain at Rest the average percentage of person experience pain are 28.84% 74 persons out of 104 are not experiencing any pain, the % of no pain is 71.15%. Prevalence of pain after playing tabala. The average % of person experiencing pain after playing is 66.34%. 35 Person out of 104 are not experiencing any pain. The % of no pain after playing table is 33.65%.
Conclusion: The prevalence of wrist pain is more in table players after playing table than compared to pain at rest.

Key words: Playing related musculoskeletal disorders (PRMDs), NPRS-Numeric pain rating scale, Percussion instrument, Ergonomics, Musculoskeletal.
A Research on the Effects of Braking Torque on Dynamic Load of Tractor Semi-trailer on a Straight Road with the Friction Factor
Authors:   Vinh Long University of Technology Education, 73, Nguyen Hue Street, Vinh Long City, Vietnam, Thanh Tung Nguyen , Tan Phat Khau , Van Minh Nguyen
Published: May 2022

The paper presents the research results on the dynamic load of tractor semi-trailer on a straight road with the maximum longitudinal friction factor?xmax=0.8 at speed V0=[60, 80]km/h, being braked with 6 different braking torques. The method of structural separation of a multi-body system is used to build a 3D dynamic model of the tractor semi-trailer and the Newton-Euler equation is used to set up the system of dynamic equations of tractor semi-trailer. Matlab-simulink software is used to examine the effects of braking torque on dynamic load of the tractor semi-trailer. The results showed that, the wheel force of axle 1 is increased by 200%, but the wheel force of axle 3 is reduced about 13.3%, and the wheel force of axle 6 is reduced about 21.6%.The dynamic load factor of axle 1 is increased by 200%, but the dynamic load factor of axle 3 is reduced about 9%, and the dynamic load factor of axle 6 is reduced about 22%.
Markov Random Field based Compression of Encrypted Medical Images
Authors:   Sri Sivasubramaniya Nadar College of Engineering, Chennai, India, Kumar C Vinoth , K Nirmala
Published: May 2022

Medical images are extensively used to convey information for further diagnosis. A large number of such images need to be stored in medical databases with assured security. Secure transmission of medical images requires a robust encryption and compression algorithm. There have been a few researches on the binary and grayscale encrypted and compressed images, despite the fact that there have been many studies on the non-encrypted-compressed images. On the other hand, low computational complexity and high security are not able to achieve by existing encryption image compression algorithms simultaneously. As a result, a method for compressing an encrypted image demands additional investigation in order to make optimal use of storage space while maintaining confidentiality. In order to overcome this issue, this study proposes a novel image encryption-then-compression (ETC) system based on 2D Compressive Sensing (2DCS) and the Markov random field (MRF) model. The objective is to achieve both minimal computing complexity and high security. In addition, the reconstructed image should have a significantly higher Peak Signal-to-Noise Ratio (PSNR).
Displacement Estimation by Savitzky Golay Filtering Technique through Inertial Sensor
Authors:   Department of Electronics and Communication, Thiagarajar College of Engineering, Tamilnadu, India, Joshi Rajan T. , Surya Kumar K. , Hariharan K.
Published: May 2022

Contactless displacement measurement using low-cost sensor modules is vital in engineering applications like elevators. To achieve contactless displacement measurement with high resolution and reliability, a new method of Displacement Estimation on Navigators (DEON) is proposed. The purpose of the proposed approach is to estimate the navigator’s motion using a micro electro mechanical system based accelerometer and to compute the actual displacement covered by the navigators. The error profiles are analysed in acceleration signal which is captured by the accelerometer and it is extracted and calibrated to remove the offset drift error. Further, the data has been processed to reduce random drift error by applying the Savitzky–Golay filter. Then, the principles of integral calculus are applied in the time-domain and displacement is obtained by integrating acceleration twice. The proposed algorithm aimed at measuring displacement caused by the vibration to the object. The similarity between actual and estimated displacement is 98%.
Analyzing the Security Risks and their Probable Solutions for Virtualization in Cloud Computing
Authors:   Michael Madhusudan Memorial College, Durgapur, India, Mondal Santanu , Das Bubai , Kumar Mandal Kunal
Published: May 2022

Cloud computing has become the platform for different web services. It is because of the technology virtualization, which enables cloud providers to provide service for a large number of customers. It is cost-effective and it also enables an efficient way of data storage and data processing to provide service for a large number of customers. But there is a disadvantage also. There can be a risk of security breach if proper precaution is not taken. The main characteristics of virtualization are resource sharing and isolation. This is the strength of virtualization. But there can be a problem of security if used without taking proper precautions. The environment makes it prone to bugs and the whole system can be damaged by one malicious virtual machine in the cloud. This attacks other virtual machines in the cloud. This paper studies different risks in virtualization and analyses the different methods to overcome them and make the environment less vulnerable to risk.
Convolutional Neural Network Based Lungs Disease Prediction
Authors:   JSPM’s RSCOE, Maharashtra, India, V. Kedar Seema , Shirsat Sanika
Published: May 2022

Disease Recognition Systems have played a vital role in history all over world and is widely found in today’s time. Various re- searchers have worked on different diseases using different algorithms such as skin diseases, breast diseases, blood issues, cancers, tumors, etc. Research efforts on lungs related diseases such as lung cancer, pneumonia and covid-19. This research intends to bring a system which can recognize lungs diseases. Methods based on CNN classifier are exercised for Lung Diseases Recognition. Experiments are carried out on datasets using different kinds of features and their fusion. Dataset of total 6000 images is used for the same.
Estudios de Caso: una caracterización metodológica
Authors: Guerra Reyes Frank , Guerra Dávila Eric
Published: May 2022

Caracterizar a los Estudios de Caso/s, constituye un requerimiento académico e investigativo, en tiempos de diversificación metodológica. En torno a ellos, se han generado múltiples acepciones; y, por otro lado, múltiples cuestionamientos sobre la validez de los hallazgos que puedan hacerse con su empleo. En consecuencia, en este artículo se plantea una caracterización temática y metodológica que apoye en su comprensión. Consiste en una investigación de abordaje cualitativo sustentada tanto en la revisión y reflexiones sistemáticas con el uso de fichas RAE, como en el análisis de contenido. Se concluye que los Estudios de Caso/s pueden definirse como: objeto de estudio, método, pero más que nada, como una estrategia de investigación empírica. Resulta, además, prioritario reflexionar tanto sobre las tradiciones antropológica y sociológica en la que se inscriben, como en la posibilidad de un abordaje multimetódico. Al final, con su empleo se garantiza que los significados asumidos no sean independientes de las convenciones culturales, de los valores e imaginarios simbólicos generados a lo largo de la trayectoria social de una persona, colectividad o institución.
A pesquisa sobre tráfico de pessoas no Brasil: uma revisão sistemática
Authors: Peres Sthefani Pinheiro dos Passos , Anjos Isabela Andreazza dos , Peres Marcos Roberto de Souza
Published: May 2022

O tráfico de pessoas, terceiro crime mais lucrativo do mundo, é um delito subnotificado devido à forma complexa de identificação. Como consequência, há grande dificuldade na sua repressão através de políticas públicas e do sistema de justiça criminal, o que leva à demanda de geração de conhecimento através da pesquisa acadêmica. Utilizando como método de pesquisa a revisão sistemática, o presente trabalho tem como objetivo analisar qual tem sido o método eleito nas teses e dissertações sobre a temática, publicadas entre 2017 e 2021 no Brasil, e, assim, avaliar sua contribuição para a geração e atualização de dados e informações sobre o tráfico humano. Ao final, observou-se que a temática é pesquisada em diversas áreas do conhecimento e que ainda há pouco desenvolvimento de pesquisas de campo no Brasil, especialmente na área do Direito.
Improved retinal fundus image quality with hybrid image filter and enhanced contrast limited adaptive histogram equalization
Authors: Banupriya V , Kalaivani A
Published: May 2022

Retinal fundus image preprocessing has contributed extensively to medical image analysis and retrieval of appropriate images. The acquired retinal images are usually messy and come from different sources. They need to be standardized and cleaned up. Retinal image preprocessing enables the improvement of retinal image quality and enhances the image features that are required for processing. The success of the retinal image diagnosis for early prediction of Diabetic Retinopathy (DR) depends on the reliability of preprocessing. The automatic preprocessing of color retinal fundus images without affecting the image quality is still challenging.  Retinal images often have issues such as low contrast intensity, uneven light intensity, blurring, noise disturbances, sensor system that lack of focus, low contrast, irregular shapes with high variability, object movement, ill-defined boundaries, heterogeneous pixel intensities and the annotation of medical images to support diagnosis. In this work, issues such as noisy/ill in defined boundaries, uneven light intensity, low contrast, and blurring of images in the retinal fundus images are addressed with the proposed method. The results of the proposed method are reliable, contrast enhanced, edge preserved preprocessed images for given color input images.
Digital permissive management for aggregate and sustainable development of the employees
Authors: Dhanabhakyam M. , Joseph Emil
Published: May 2022

Today, the word digital permissive management is increasingly available in a wide range of discussions: at home, working, at school, and in society. Aware of the climate we live in, everybody is searching for the best answers to tackle issues emerging from human fulfilment. The board for maintainable advancement occurs as an interaction by which associations use each of their assets and work on their authoritative and mechanical turn of events to meet current and future human and social necessities. Just in this manner is it conceivable to work on personal satisfaction. So that, reasonable improvement is perceived as individuals focused. We have an exceptional worry about social, social, and monetary aspects, where people can grow together. At the same time, individual and hierarchical exercises can be carried out simultaneously without obliterating the current variety and intricacy of the environmental framework wherein we live. This paper centres around the impact of easy administration procedures like work-life, ability, and information on the executives, efficiency, and total advancement of the representatives.
review on restoration of vision in glaucoma through image processing using machine learning techniques
Authors: Bhattacharya Sandhya , Rathore Yogesh Kumar
Published: May 2022

Glaucoma is the silent vision thief. Early detection of glaucoma is almost impossible and there is currently no solution for glaucoma in its later stages. This study focused on a variety of automated glaucoma detection techniques. An extensive literature review was performed on preprocessing, feature extraction, feature selection, machine learning (ML) methods, and the dataset used for testing and training. Automated glaucoma prediction is essential, but unfortunately, only a small amount of work has been done in this area and only a minimal level of accuracy has been achieved. However, automatic glaucoma detection has advanced to the point where most machine learning techniques can accurately detect 85% of glaucoma patients. Optical coherence tomography (OCT) can be used to predict the outcome of surgery-induced glaucoma.
observational study to evaluate pressor response to laryngoscopy and tracheal intubation after pre-operative nebulisation of lignocaine
Authors: Agrawal Anuja , Shah Ankitkumar , Mehta Malini , Chauhan Dinesh
Published: May 2022

Background & Aims: - Direct laryngoscopy and intubation are essential steps in general anaesthesia which elicit significant adreno sympathetic responses. Suppression of these responses is a concern in general anaesthesia. The aim of our study is to evaluate haemodynamic effects of pre-operative nebulisation with lignocaine due to pressor response. Materials and Methods :- Fifty patients within the age group of 18-65 years undergoing elective surgery under general anaesthesia were randomly allocated into two groups: Group L (n=25) nebulised with 5 ml lignocaine (2%) and Group C (n=25) nebulised with 5 ml normal saline, 15 minutes before surgery. Baseline values of heart rate (HR), systolic blood pressure(SBP), diastolic blood pressure(DBP), mean arterial pressure(MAP) and saturation(SpO2) were noted. HR, SBP, DBP, MAP and SpO2 were noted immediately after intubation, at 2 minutes, 5 minutes and 10 minutes after intubation. Results:- There was significant fall in HR (88.76 ± 8.54) and MAP (93.32 ± 14.42) in group L as compared to group C. Conclusion:- This study suggests that pre-operative nebulisation with lignocaine significantly suppresses pressor response to laryngoscopy and intubation.
Adoption of mobile payment among visually impaired users in Tamil Nadu based on technology acceptance model (TAM)
Authors: Parvathy V. , Durairaj D.
Published: May 2022

This study employed a technology acceptance model to determine the adoption of mobile payment among visually impaired users in Tamil Nadu. After the pandemic, India pushed to the virtual world. Digital payment plays a vital role in the virtual world. At the same time visually, impaired users also adopt the digital culture to upgrade themselves in the virtual world. This study reveals the influencing factor toward the adoption of mobile payment and the visually impaired user-friendly payment application. In this study, the researcher used snowball sampling and the telephonic interview method for data collection. Based on a previous study researchers derive five factors to evaluate the adoption of mobile payment, there are perceived usefulness, perceived ease of use, perceived trust, intention to use mobile payment, and adoption use mobile payment. This study totally covered 18 districts in Tamil Nadu, a study conducted between February and March 2022. A researcher contacted 56 respondents but only 50 were interested to participate in the interview. This study found that ease of use is the most influencing component toward the adoption of mobile payment among visually impaired users.
Identification of bioactive agent in Tinospora cordifolia by a slice approach
Authors: Sriwastava Akanksha Raj , Srivastava Vivek
Published: May 2022

Candida species cause most fungal infections and contribute significantly to worldwide morbidity and mortality, making them a severe public health threat. Due to their ability to develop resistance to antifungal drugs, these opportunistic fungi defy therapeutic efforts, making them a severe problem in treating and managing Candida infections. Due to co-infection with immune-compromised persons, multidrug-resistant Candida spp. strains have developed as a global concern, which can lead to invasive candidiasis. The life-threatening variant of the illness may be treated quickly and effectively through drug repurposing. Hence, this research was done in tandem with a previous inquiry into the chemicals' ability to fight Candida spp. According to molecular docking and molecular dynamics studies, a total of five compounds, namely Cholesterol, Allopyranose, Melezitose, 1,6-Anhydro-B-D-Glucofuranose, and 1-(3-Cyanophenly)-2-Phenylethane isolated from the sample (in previous study) have the potential to inhibit the growth of further Candida albicans. After ligand binding, the protein-ligand interaction was also studied to know which residues are involved in bond formation. Out of these five ligands, only one ligand violated Lipinski's rule, namely Melezitose. Therefore, the compounds isolated in the previous study have a strong antifungal effect.
Alcohólicos Anónimos: comunidad religiosa que genera identidad
Authors: Gutiérrez Portillo Ángel Alejandro
Published: May 2022

El objetivo de este artículo es describir y analizar cómo la comunidad terapéutica religiosa de Alcohólicos Anónimos genera identidad entre los miembros de la agrupación. A partir de la experiencia en el trabajo de campo y gabinete, se refl exionó sobre los diversos aspectos que conforman el fenómeno social respecto a la forma en que funciona Alcohólicos Anónimos. Entre lo resultados más sobresalientes encontramos que Alcohólicos Anónimos es una comunidad de hombres y mujeres que funciona a través de un modelo terapéutico religioso denominado los Tres Legados, a través de los cuales adoctrina a los miembros, quienes adquieren patrones culturales que los hace identifi carse plenamente con la agrupación. Se puede colegir que la ingesta de bebidas embriagantes es una práctica contemporánea generalizada que va en aumento entre la población en México. Para atender esta problemática social del alcoholismo en México, hay Asociaciones Civiles entre las que destaca Alcohólicos Anónimos. Aunque el método terapéutico religioso de Alcohólicos Anónimos no garantiza la rehabilitación del alcoholismo, la comunidad sí opera como una agrupación religiosa de autoayuda y ayuda mutua frente a las problemáticas sociales que presentan los miembros de la comunidad.
Efectividad de una intervención psicopedagógicas en estudiante de III año secundaria, estudio de caso
Authors: Arias García Alberth Jonathan , Lira Gaitán Paola Raquel
Published: May 2022

La presente investigación se realizó durante el I semestre de V año de la carrera de psicología, del año 2021 a través de la asignatura de Intervención Psicopedagógica. Dicho trabajo tiene como propósito analizar la efectividad de la propuesta de intervención psicopedagógica dirigida a un estudiante de III año de secundaria. La investigación posee como base el estudio de caso realizado a un adolescente de 14 años de edad, donde se exploraron datos relacionados a las áreas biológica, psicosocial, familiar y educativa. Durante el proceso de evaluación se realizó entrevistas a padres, docentes y al discente. Posterior a las entrevista se aplicó al adolescente una batería de pruebas psicotécnicas en las que se destacan: Test Gestáltico Visomotor de Bender, Test de Inteligencia no Verbal de Weil, Test de la Familia de Corman y Test del Árbol, así mismo pruebas pedagógicas de lectura, escritura y cálculo que permiten identifi car rasgos de personalidad, inteligencia, motora fi na y relación familiar, así como evaluación de las competencias académicas adquiridas por el estudiante en su proceso de aprendizaje. Para medir la efectividad del plan de intervención psicopedagógico ejecutado en 12 sesiones, se realizó un retest que permitió evidenciar la condición psíquica del discente y su incidencia en el área cognitiva. Haciendo un contraste de ambos resultados (antes y después) se encontró una diferencia signifi cativa, refl ejado en los siguientes aspectos: Organización del espacio vital, orientación, mejora en la motora fi na con incidencia positiva en la caligrafía y escritura, mayor capacidad refl exiva y adaptativa, asimismo seguridad y control de las emociones.
Introducing the Australian Journal of Taxonomy, a new, fully-online, fully open-access journal for the rapid publication of new Australian species and other taxa
Authors:   University of Western Australia, Thiele Kevin R. ,   Western Australian Herbarium, Harvey Mark S. ,   Western Australian Museum,   University of Western Australia, Hutchings Pat ,   Australian Museum, May Tom W. ,   Royal Botanic Gardens Victoria, Melville Jane ,   Museums Victoria,   Monash University, Travouillon Kenny J. ,   Western Australian Museum
Published: May 2022

With this paper we introduce the Australian Journal of Taxonomy and outline its scope, rationale, workflow and governance. The journal is published by Taxonomy Australia, a national collaboration by the Australian taxonomic community. Australian Journal of Taxonomy is one of the world's first fully-online journals. Papers are born-digital and born-online: they are authored on the Australian Journal of Taxonomy online platform, and all subsequent steps (peer-review, editing, copy editing and publication) take place on that platform. At no stage does a paper in Australian Journal of Taxonomy need to exist as a document in a word-processing application. This fully-online processing substantially eases and accelerates workflows, and reduces the costs of production and publishing to a minimum. For these reasons, Australian Journal of Taxonomy is also diamond open access, with no access charges for either authors or readers. Australian Journal of Taxonomy is optimised for the rapid publication of new Australian taxa across all eukaryotic organismal groups (animals, fungi, plants etc.), and is part of the overarching strategy of Taxonomy Australia to substantially accelerate the discovery and taxonomic documentation of Australia's biodiversity.
El clima organizacional en las instituciones de educación superior: apuntes para su debate
Authors: Coello Viejó Jaime
Published: May 2022

Las instituciones de educación superior han venido adoptando estrategias de comprobado éxito en las organizaciones privadas que les ayuden a enfrentar los múltiples dilemas que deben afrontar para cumplir con los objetivos estratégicos. El clima organizacional es uno de los motores que impulsa el logro de las metas organizacionales por formar parte del componente humano, por lo que su estudio es un tema de interés común para las partes interesadas en el éxito de la gestión de las universidades. El objetivo de este documento es presentar algunas reflexiones para el debate de la importancia del clima organizacional en las instituciones de educación superior. Con base en una revisión documental, se identifican algunas definiciones clave del Clima Organizacional, sus dimensiones, sus características, las tendencias de investigación, y particularmente, su contextualización en el sector de instituciones de educación superior. Como reflexiones finales, se plantea que el Clima Organizacional en las Instituciones de Educación es un tema de interés para la gestión universitaria; así mismo, el abordaje de su conceptualización, dimensionamiento y medición es una estrategia que puede ayudar a mejorar los planes de acción desarrollados por los colectivos que hacen vida dentro de las universidades.
Aprender a Aprender: una alternativa convergente para la práctica educativa
Authors: Valdiviezo Cacay Manuel , Heredia Arias Giovanni , González Sánchez Jorge , Guerrero Jirón Juan , Enderica Armijos Orlando
Published: May 2022

El desarrollo científico tecnológico, ha traído como consecuencia la necesidad de transformar la educación, lo que implica la renovación de herramientas conceptuales y metodológicas. Así, el objetivo de esta investigación es determinar el enfoque epistemológico pedagógico que sustenta la práctica educativa en la Facultad de Ciencias Sociales de la Universidad Técnica de Machala, Ecuador. La investigación se desarrolló bajo un diseño metodológico con enfoque cuantitativo basado en una investigación no experimental exploratoria. A partir de una revisión documental se diseñó un instrumento para identificar los procedimientos metodológicos aplicados. El instrumento se aplicó a una muestra representativa de docentes de las diferentes carreras de la Facultad de Ciencias Sociales. Los resultados revelan la prevalencia de un enfoque centrado en el profesor que enseña y el estudiante que aprende, la confusión del docente en la práctica pedagógica, la labor artesanal en la acción didáctica, frente a lo que se plantea la necesidad imprescindible de modificar el discurso fortalecido por la praxis de un aprendizaje - enseñanza como escenario para el “Aprender a Aprender”.
Single Valued Neutrosophic Dynamic Vertex Coloring of Some Cartesian Product and Join of SVNG′s
Authors:   PG and Research Department of Mathematics, Kongunadu Arts and Science College, Coimbatore-641 029, Tamil Nadu, India., V Aparna ,   PG and Research Department of Mathematics, Kongunadu Arts and Science College, Coimbatore-641 029, Tamil Nadu, India.,   Regional Center for the Professions of Education and Training, Casablanca - Settat, Morocco., N Mohanapriya , Said Broumi
Published: May 2022

The concept of neutrosophic sets makes it easier to analyse values that are ambiguous or indeterminate. We illustrate the concept of single-valued neutrosophic R-dynamic vertex coloring in this study. In addition, the single valued neutrosophic dynamic vertex coloring of the Cartesian product of path with cycle, cycle with cycle, complete SVNG with complete SVNG and cycle has been determined. Also, we have discussed the single valued neutrosophic dynamic vertex coloring of join of complete SVNG with complete SVNG and cycle, cycle with cycle.
Alternative Analytical Approaches to Creative Economy
Authors: Santos Vieira de Jesus Diego
Published: May 2022

The aim of the article is to propose alternative and critical analytical perspectives to study creative economy and its correlated issues, such as creative city and creative class. A neo-marxist perspective indicates that creative economy reinforced the gap among innovators, investors, and those who work for them. According to a post-structural perspective, the formulas for the development of creative economy or creative city are homogenizing and contribute to the marginalization of differences. A postcolonial perspective indicates that marginalized societies in the capitalist system were conceived as blank spaces in which socioeconomic governance recommendations applied for creative sectors in North Atlantic societies could be replicated. Feminist approaches and queer theory highlight hierarchies related to gender, sexual orientation, race, and ethnicity in creative industries, despite the supposedly inclusive notions of creative economy and creative class.
The Absentee Formal Education in Prison Guard Hiring Traditions: Extrapolating Pareto Distance to Inform Personnel Optimality for Corrections Agencies
Authors: Elton Robb
Published: May 2022

The educated corrections officer/guard is sufficiently schooled in the relevant social science area and possesses sufficient theoretical knowledge such that the quality of work, purpose, and goals of incarceration could be met. Thus, the desire to bring professionalism into the field of corrections has been recognized for many decades, particularly after the Attica tragedy of 1971. However, in pursuit of adequate staffing levels many factors (geography, for example) diminish the ability of prisons and correctional facilities to obtain formally educated employees. This mixed-methods research aimed to first identify prison policies through random selection of state corrections agencies in the United States (n=20) that may allow certain years of service as a substitute for a bachelor’s degree in social sciences at hire. Secondly, there was a need to define how to calculate Pareto Distance (PD) as an indicator of incongruous education standards as to prison guards, and third, substantiate recommendations for benchmark employment to at least 1-in-5 guards with a baccalaureate. Unfortunately, the results were compelling. The majority of states permit teenagers to apply to work as prison guards. The incarceration rate is closely tied to the education level throughout the state. The Pareto Distance, however, represents a prospective benchmark for optimality where insufficient numbers of educated personnel are available to effectively operate a prison.
Microservice development using RabbitMQ message broker
Authors: Ćatović Amar , Buzađija Nevzudin , Lemes Samir
Published: May 2022

Nowadays, when applications are being developed faster with the introduction of agile methodologies and new technologies, microservices are emerging. The microservices make applications easier to create and maintain when broken down into smaller parts, which form a whole application. RabbitMQ acts as an intermediary between the various services. It reduces the load and delivery time on server web applications by delegating tasks that would typically take a lot of time and resources. Message queuing allows web servers to respond quickly to requests rather than being forced to perform complex procedures that can take more time and resources. AMQP (Advanced Message Queuing Protocol) is a message protocol that deals with publishers and consumers like any other messaging system. Publishers produce messages while consumers download and process them. The job of message brokers, such as RabbitMQ, is to ensure that messages from publishers go to the right consumers. To do this, the broker uses two key components: exchange and order. We demonstrated that the style of microservice architecture is an approach to the development of an application as a set of small services, each in charge of its own process and communication with other services.
Modeling and simulation of fiber optic transmission links
Authors: Goran Nermin , Hodzic Mujo , Maslo Anis , Mujčić Aljo
Published: May 2022

The main aim of the paper is modeling and simulation of fiber optic transmission. It also deals with ways to increase the capacity of fiber optic transmission links by using WDM (Wavelength Division Multiplexing) system. The parameters of the fiber optic transmission link were measured on a real optical transmission links and a model for simulation was set up. A simulation of increasing the capacity of a fiber optic transmission link was made in two ways. The first one is to increase the transmission speeds of the individual channels of the WDM system, and the second one is to increase the number of WDM system channels with lower individual speeds. The simulation results showed that the second method provides better quality of WDM service. The additional experiment was done on an existing ITU T G.655 optical fiber intended for WDM systems whose parameters were measured. Bit error rate and Q parameter for WDM system of 4 and 16 channel was used to check quality of proposed solution.
Determination of crop evapotranspiration of tea (Thea sinensis) using weighing lysimeter for the Nilgiris
Authors: ALOK K. SIKKA  , M. MADHU  , D. C. SAHOO
Published: May 2022

A long term experiment (1996-2001) was conducted for determining crop evapotranspiration (ETc) of tea (Thea sinensis) using weighing type lysimeter at the Central Soil and Water Conservation Research and Training Institute-Research Centre (CSWCRTI-RC), Research Farm, Udhagamandalm, Tamil Nadu, India. Based on the weekly average crop evapotranspiration for the entire period of observation, the different growth stages were observed and classified as initial season, mid season and late season for increasing growth rate, constant growth rate and declining growth rate, respectively. The average crop evapotranspiration for the corresponding s was 2.77, 3.31 and 2.27 mm/day, respectively. The maximum ETc was observed during mid season followed by initial and late seasons.