bluuebunny/crossref_metadata_2025 huggingface dataset:
Soil quality bioindicators in initial eucalyptus growth under organomineral fertilization based on sugarcane filter cake
Authors: Delvaux Julio Cesar , Carmargo Reginaldo de , Lana Regina Maria Quintão , Franco Miguel Henrique Rosa , Stanger Mayara Cristiana , Gonçalves Rafael Arcanjo , Lemes Ernane Miranda , Miguel Paulo Sérgio Balbino
Published: July 2021

Pelletized organomineral fertilizers (OMFs) are a promising, sustainable alternative for eucalyptus fertilization, the most widely cultivated hardwood tree globally. However, little is known about the effects of OMFs on initial plant development and soil quality. We evaluated the effects of different doses of a pelletized OMF derived from sugarcane filter cake (0%, 50%, 100%, 150%, and 200% relative to the recommended phosphorus dose for cultivation) and a mineral treatment (mineral fertilizer at the recommended dose for eucalyptus), as well as the effects of time (30, 60, 90, and 120 days after transplanting), on the morphophysiological responses of eucalyptus plants (diameter at neck height, plant height, and chlorophyll a and b content) and soil pH, microbial biomass (MBC), and microbial activity (soil basal respiration [SBR]). Increases in fertilizer dose led to increased chlorophyll a values, but values decreased under the highest doses (150% and 200%). OMF addition led to an initial increase in soil pH, followed by a reduction. The highest values of plant height, stem diameter, and fresh and dry masses of leaves, stems, and roots were observed when the OMF dose of 50% was administered. MBC values were inversely proportional to the OMF dose, and the SBR and metabolic quotient (qCO2) values observed under the 50% and 100% treatments were equal to or better than those observed under the mineral fertilizer treatment. Pelletized OMFs derived from filter cake could potentially replace mineral fertilization in the early development of Eucalyptus urophylla × Eucalyptus grandis without damaging soil quality
Penurunan Kualitas dan Kuantitas Spermatozoa Mencit (Mus musculus L.) Setelah Pemberian Ekstrak Rimpang Rumput Teki ( Cyperus rotundus L.)
Authors: Indriyani Indri , Busman Hendri , Sutyarso Sutyarso
Published: July 2021

The lack of participation of men in family planning programs is due to the limited choice of male contraceptive. Traditional medicinal plants are one of ideal alternative types of male contraception. This study aimed to study the effect of Cyperus rotundus L. rhizome on the quality and quantity of spermatozoa in male mice (Mus musculus L.). Twenty male mice were divided into four treatment groups, namely control group (C0), the dose of teki grass rhizome extract 4.5 mg/40 g BW (C1), the dose of teki grass rhizome extract 45 mg/40 g BW (C2), and the dose of teki grass rhizome extract 135 mg/40 g BW (C3) for 35 days. Parameters measured were the motility, viability, morphology, and concentration of spermatozoa. The data were analyzed for diversity and then further tested using the LSD test with a 5% significance level. The results of the analysis showed that giving teki grass rhizome extract had a significant effect on the motility, viability, morphology, and concentration of spermatozoa. It can be concluded that teki grass rhizome can be used as an alternative male contraception because it can reduce motility, viability, morphology, and spermatozoa concentration.
Monitoring Macan Tutul Jawa (Panthera pardus melas Cuvier, 1809) dengan Kamera Trap di Cagar Alam Nusakambangan Timur Kabupaten Cilacap, Provinsi Jawa Tengah
Authors: Santoso Budi , Restanto Wahyono
Published: July 2021

Monitoring of the existence of the Javan Leopard (Panthera pardus melas) in the Nusakambangan Timur Nature Reserve, Cilacap Regency, has been carried out in July-November 2020. Monitoring is carried out using the method of collecting signs of animal presence and installing camera traps. Photos / videos caught on camera traps are counted on the encounter rate. The monitoring results obtained 97 videos which were divided into 6 videos of P.p. melas, 15 videos of wild boar (Sus scrofa), 1 video of mouse deer (Tragulus javanicus), 2 videos of mountain squirrels (Tupaia montana), 1 video of mice (Apodemus sp.) 20 videos of human activities, and 47 videos of non detection. The result of the Encounter Rate calculation shows the result of P.p. melas 4.44 / 100 days; wild boar 11.85 / 100 days; Squirrels 1.48 / 100 days; rats and mouse deer 0.74 / 100 days, respectively. Meanwhile, for the trail of P.p. melas found 2 impurities.
Statistical downscaling of precipitation using inclusive multiple modelling (IMM) at two levels
Authors: Sadeghfam Sina , Khatibi Rahman , Moradian Tara , Daneshfaraz Rasoul
Published: July 2021

Topical research on hydrological behaviour of climate change in terms of downscaling of monthly precipitation is investigated in this paper by formulating an inclusive multiple modelling (IMM) strategy. IMM strategies manage multiple models at two levels and the paper uses statistical downscaling model, Sugeno fuzzy logic and support vector machine at Level 1 and feeds their outputs to a neuro-fuzzy model at Level 2. In the downscaling stage, large-scale NCEP (National Centres for Environmental Prediction)/NCAR (National Centre for Atmospheric Research) data are used for a station with local data record from 1961 to 2005 for training and testing Level 1 models. The results are found to be ‘fit-for-purpose’, but the variations between them signify some room for improvements. The model at Level 2 combines outputs of those at Level 1 and produces Level 2 results, which improve compared with those at the Level 1 models in terms of dispersion of residual errors. In this way, IMM provides a more defensible modelling strategy for application in the projection stage. The comparison between observed and projected precipitation indicates that precipitation will be likely to reduce compared with observed precipitation in cold seasons (October–February), but the projected precipitation will be likely to increase slightly in wet seasons (April and May).
Epigenetic Mechanisms Mediate Nicotine-Induced Reward and Behaviour
in Zebrafish
Authors: Faillace Maria P. , Bernabeu Ramón O.
Published: July 2021

:

Nicotine induces long-term changes in the neural activity of the mesocorticolimbic reward
pathway structures. The mechanisms involved in this process have not been fully characterized.
The hypothesis discussed here proposed that epigenetic regulation participates in the installation
of persistent adaptations and long-lasting synaptic plasticity generated by nicotine action on the
mesolimbic dopamine neurons of zebrafish. The epigenetic mechanisms induced by nicotine entail
histone and DNA chemical modifications, which have been described to lead to changes in gene expression.
Among the enzymes that catalyze epigenetic chemical modifications, histone deacetylases
(HDACs) remove acetyl groups from histones, thereby facilitating DNA relaxation and making
DNA more accessible to gene transcription. DNA methylation, which is dependent on DNA methyltransferase
(DNMTs) activity, inhibits gene expression by recruiting several methyl binding proteins
that prevent RNA polymerase binding to DNA. In zebrafish, phenylbutyrate (PhB), an HDAC inhibitor,
abolishes nicotine rewarding properties together with a series of typical reward-associated behaviors.
Furthermore, PhB and nicotine alter long- and short-term object recognition memory in
zebrafish, respectively. Regarding DNA methylation effects, a methyl group donor L-methionine
(L-met) was found to dramatically reduce nicotine-induced conditioned place preference (CPP) in
zebrafish. Simultaneous treatment with DNMT inhibitor 5-aza-2’-deoxycytidine (AZA) was found
to reverse the L-met effect on nicotine-induced CPP as well as nicotine reward-specific effects on
genetic expression in zebrafish. Therefore, pharmacological interventions that modulate epigenetic
regulation of gene expression should be considered as a potential therapeutic method to treat nicotine
addiction.
Progression in Moyamoya Disease: Clinical Features, Neuroimaging
Evaluation, and Treatment
Authors: Zhang Xin , Xiao Weiping , Zhang Qing , Xia Ding , Gao Peng , Su Jiabin , Yang Heng , Gao Xinjie , Ni Wei , Lei Yu , Gu Yuxiang
Published: July 2021

:

Moyamoya disease (MMD) is a chronic cerebrovascular disease characterized by progressive
stenosis of the arteries of the circle of Willis, with the formation of collateral vascular network
at the base of the brain. Its clinical manifestations are complicated. Numerous studies have attempted
to clarify the clinical features of MMD, including its epidemiology, genetic characteristics,
and pathophysiology. With the development of neuroimaging techniques, various neuroimaging
modalities with different advantages have deepened the understanding of MMD in terms of structural,
functional, spatial, and temporal dimensions. At present, the main treatment for MMD focuses on
neurological protection, cerebral blood flow reconstruction, and neurological rehabilitation, such as
pharmacological treatment, surgical revascularization, and cognitive rehabilitation. In this review,
we discuss recent progress in understanding the clinical features, in the neuroimaging evaluation
and treatment of MMD.
Atopic Dermatitis: Conventional and Integrative Medicine
Authors: Hon Kam Lun , Chu Samantha , Leung Alexander K.C. , Wong Alex
Published: July 2021

:

Although Western medicine and ideas about atopic dermatitis (AD) have become popular
in many Asian countries, local beliefs about the disease and its treatment often prevail. The multi-
racial background of these countries as well as the influence of the diverse religions (such as Taoism
and Ramadan) in these regions often lead to diverse belief systems about the causes of AD
(such as the Chi concept, also known as the balance of yin and yang) and the types of treatment
(e.g. herbal remedies, topical versus concoctions, and decoctions). In addition, many of the cultural
practices are preserved among the Southeast Asian minorities residing in the United Kingdom and
North America. Eastern treatments typically take a holistic approach to AD and emphasize the psychosomatic
component of the disorder. This overview provides a summary of the difference between
Conventional, Complementary, Alternative, and Integrative Medicine in terms of epidemiology,
aetiology, therapy, and prognosis in children with AD. There are a number of similarities in
genetic and environmental factors in epidemiology and aetiology; however, differences exist in
terms of the concept of management. Complementary and alternative medicine, traditional Chinese
medicine, and integrative medicine usage are not only prevalent among the Asian population but
are also becoming more popular and accepted in Western societies.
MicroRNAs Involved in Oxidative Stress Processes Regulating Physiological
and Pathological Responses
Authors: Xu Yongjie , Huang Xunhe , Luo Qingbin , Zhang Xiquan
Published: July 2021

:

Oxidative stress influences several physiological and pathological cellular events, including
cell differentiation, excessive growth, proliferation, apoptosis, and inflammatory response.
Therefore, oxidative stress is involved in the pathogenesis of various diseases, including pulmonary
fibrosis, epilepsy, hypertension, atherosclerosis, Parkinson’s disease, cardiovascular disease,
and Alzheimer’s disease. Recent studies have shown that several microRNAs (miRNAs) are involved
in the development of various diseases caused by oxidative stress and that miRNAs may be
useful to determine the inflammatory characteristics of immune responses during infection and disease.
In this review, we describe the known effects of miRNAs on reactive oxygen species to induce
oxidative stress and miRNA regulatory mechanisms involved in the uncoupling of Keap1-Nrf2
complexes. Finally, we summarized the functions of miRNAs in several antioxidant genes. Understanding
the crosstalk between miRNAs and oxidative stress-inducing factors during physiological
and pathological cellular events may have implications for the design of more effective treatments
for immune diseases.
Optimization of Die Design to Abolish Surface Defect on Telescopic Front Fork (TFF) Tube
Authors: Choudhary Asit Kumar , Prasad Braj Bihari
Published: July 2021

Background:

The telescopic fork is mainly used for suspension purposes in different devices
to absorb the vibration and disturbances which come from the road or mechanical devices.
Factors such as die angle, drawing velocity, lubrication, and area reduction per pass significantly
affect the drawing loads and residual stresses formed in the drawn tube during the tube drawing
process.

Objective:

An instantaneous transverse crack was found on the pipe's outer surface during the drawing
process in the current work, and the key challenges were to reduce the percentage of pipe rejection.

Methods:

In this work, optimum drawing die designs were proposed by using the Finite Element
Method (FEM). The FEM solving tool is called Abaqus, and it has been used for simulating and
solving the cold-rolling process. The FEM model of cold drawing process is generated in Abaqus
with the same boundary condition (Axial load and constrain) as used on the actual wire drawing
machine.

Result:

With current die geometry, there was a substantial reduction in area, axial stress (Tensile)
along the die side is 672 MPa, which is 23 % lower than the current die axial stress value 877 MPa.
There was 48 % plastic strain found along the purposed die side, which was 17 % lower than the existing
strain of 64%. Finally, the area was reduced by changing the die geometry from the current
level of ~52% to 35 to 40 %.

Conclusion:

By reducing the area (35 to 40 %) in the output tube, and strain (17 %), it was possible
to abolish the transverse crack on the pipe's outer surface. As part of the optimisation of the FEM
work process, this work gives us encouraging results. Further research will be considered for future
work.
Characterization of Kacang Goat skin Pepsin Soluble Collagen (Psc) and Their Potency as an Antioxidant
Authors: Wahyuningsih Rina , Rusman Rusman , Nurliyani Nurliyani , Rohman Abdul , Fitriyanto Nanung Agus , Erwanto Yuny
Published: July 2021

Collagen have been interesting material for many utilization such as food, pharmaceutical and cosmetic in various products and target administration, consequently collagen should be prepared as well as type of application. The objective of this research is to prepare collagen from goat skin and investigate the character and their potency as an antioxidant. Kacang goat skin aged 2 years was used for collagen production. Small slice skin was extracted by curing with 0.1% (w/v) pepsin in acetic acid 0.5 M, for 24, 48, dan 72 h at 4°C. The variables observed were molecular weight by Sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS PAGE), microstructure using scanning electron microscope, thermal stability by differential scanning calorimetric, and the antioxidant potency through 2,2-diphenyl-1-picrylhydrazyl (DPPH) inhibition analysis. The result showed the molecular weight range from 25 kDa to 180 kDa, microstructure showed the collagen fibril crosslink, collagen start to denature at 62,28°C, highest dissolved with 1% NaCl concentration and has highest DPPH inhibition at 60 min after hydrolysis. In conclusion, kacang goat skin collagen prepared by pepsin in acetic acid.
Study on Total Protein and Amino Acid Profile of Milkfish (Chanos chanos) Meat and Its Product from Sidoarjo, East Java
Authors: Tambunan Jenny Ernawati , Suprayitno Eddy , Sulistiyati Titik Dwi , Panjaitan Mikchaell Alfanov Pardamean
Published: July 2021

Milkfish is one of the most cultivated fish species in Indonesia because these fish have a high tolerance to the various environmental conditions of tropical waters and are resistant to many pests and diseases. This preliminary research was conducted to analyze the amino acid composition contained in milkfish meat and its product. 20 fresh milkfish were obtained from ponds in Sidoarjo, East Java, in September 2020. Amino acid composition and protein content were analyzed. Based on its protein content, milkfish has been classified as a source of high protein. The amino acid profile of milkfish consists of approximately 17 types of amino acids. Glutamic acid, the amino acid present in the highest concentration, makes milkfish very popular.
La comunicación efectiva como elemento de éxito en los negocios
Authors: Traverso Holguín Paola Alexandra , Williams Flores Brian Guillermo , Palacios Bauz Irene del Rocío
Published: July 2021

La comunicación es el medio que utiliza el ser humano para transmitir y expresar lo que se encuentra en su interior, sean pensamientos, ideas o sentimientos; pero, para que la comunicación logre la efectividad que ésta requiere es necesario que se apliquen algunas estrategias y formas al momento de transmitir o recibir la información. Las personas se desenvuelven entre palabras, muchas veces, sin alcanzar un nivel de consciencia adecuado de lo que se está desarrollando. Por medio de la palabra los seres humanos pueden expresarse, comunicarse, reflexionar, razonar, argumentar, discutir y demás actividades naturales del ser. La calidad de la comunicación va directamente relacionada con la calidad de la relación que se desea mantener con las demás personas, es por ello que se debe generar una comunicación efectiva con las personas que se tiene alrededor a fin de poder mantener una adecuada relación que genere un desarrollo positivo entre las partes implicadas. Las personas de éxito han tenido la habilidad de comunicar efectivamente sus ideas, emociones y propósitos.
Retos y perspectivas de las Tecnologías de Información
Authors: Bustamante Chong César Antonio , Bustamante Chong Mariana , Caamano Bustamante Vanessa , Colina Vargas Alejandra Mercedes , Espinoza Mina Marcos Antonio , Vera Castro Tamara , Urdiales Ponce Víctor , Coello Yagual Ricardo Rafael , Pico Versoza Lucía Magdalena , Vásquez Bermúdez Mitchell , Galarza Ayala Karla Maribel , Hidalgo Larrea Jorge , Avilés Vera María Del Pilar
Published: July 2021

La Universidad ECOTEC compila en el denominado “Retos y Perspectivas de las Tecnologías” desarrollado en el marco del II Congreso Internacional Sociedad del Conocimiento: Retos y Perspectivas, una serie de investigaciones, que analizan y reflexionan acerca de cómo las transformaciones digitales impactan a todo el sector empresarial mundial, creando nuevos competidores ágiles e innovadores, puesto que consideran a la tecnología como un activo estratégico fundamental para el exitoso desempeño de la organización. Hoy día la sociedad y la empresa, en general, enfrenta retos y desafíos propiciados por la rápida propagación de los avances de la Tecnología de la Información y Comunicación, a raíz de los procesos disruptivos y acelerados en los que destacan avances significativos en la automatización del conocimiento, en Big data, marketing digital, y los sistemas de seguridad, entre otros.
Ecuador ¿País de emprendedores?
Authors: Morlás Espinoza Carlos
Published: July 2021

La fuerza caracteriza a los emprendedores. Es por esto que un grupo de entusiastas jóvenes ecuatorianos da inicio a esta obra que resume, no sólo un cúmulo de conocimientos adquiridos luego de arduas jornadas de estudio y a experiencias vividas en el mundo laboral, sino de casos reales analizados desde puntos de vista frescos y muy dinámicos que nos ayudan a internarnos en el mundo complejo, particular y extraordinariamente innovador de los “emprendedores”. Los casos internacionales que se analizan en su segundo capítulo, nos llevan a pensar en grande, en que todo es posible. Empezamos a entender y a aceptar que la base de todo gran negocio está en una buena idea desarrollada con la suficiente pasión para soportar y vencer los obstáculos. Recordando las palabras de Paul Allen de Microsoft: “Sencillamente, trabajamos hasta caer”. A este ejemplo de “emprendimiento puro” como se lo ha catalogado a Bill Gates, se suman los de Conrad Hilton, el hotelero más grande del mundo, Ray CROC, uno de los casos más sorprendentes y contundentes en el mundo de los emprendedores y finalmente se cita a Jean Michael Aulas de quien recordarán este pensamiento: “Vamos a convertir a Lyon en un grande de Europa”, ¿charlatán, aventurero? Los invito a que descubran el final de esa historia llena espíritu, característica intrínseca de un verdadero emprendedor. Cuando llegamos a los casos ecuatorianos, no podemos hacer otra cosa que llenarnos de orgullo: pese a los conflictos y dificultades que se presentan a diario para los empresarios emprendedores en el país, pese a lo duro que es sacar una idea adelante, desarrollarla y, aún más cuesta arriba, mantenerla en el tiempo, verdaderos emprendedores han trabajado arduamente y con mucho entusiasmo hasta convertir en realidad sus proyectos.
Academia, turismo y vinculación: experiencia en el Cantón Salitre, Ecuador
Authors: Vallejo López Javier Enrique , Santana Moncayo César Augusto , Aguilera Peña Roberto Guillermo , Ycaza Calderón Alejandra
Published: July 2021

El Cantón Salitre, ubicado en la provincia del Guayas, considerado como la capital montubia del Ecuador, llamado antiguamente Las Ramas formo parte del cantón Daule hasta el año 1959, cuando el gobernador Doctor Camilo Ponce Enríquez dispuso su cantonización, llamándose “Francisco Urvina Jado” en memoria de un financista de Guayaquil, hijo del ex presidente José María Urbina Viteri. El nombre Salitre proviene de la costumbre que tenían los habitantes locales de nombrar una laguna de agua salada ubicada en donde actualmente se encuentra la iglesia de la cabecera cantonal. A esta laguna llegaba el ganado de distintos lugares a lamer la Sal, sin volver a sus corrales o haciendas. Por esta razón los dueños de las reses decían a sus peones “Vayan a Salitre…seguro que ahí encontrarán el ganado” (Falcones, 2016).
Primary Care Psychiatry eConsults at a Rural Academic Medical Center: Descriptive Analysis
Authors: Avery Jade , Dwan Dennis , Sowden Gillian , Duncan Matthew
Published: July 2021

Background

Primary care providers serve a crucial role in addressing the mental health needs of many patients. However, there are times when input from a psychiatric specialist may be helpful in supporting the mental health care provided in primary care. Psychiatry eConsults can serve as a valuable tool in providing specialist advice for primary care physicians when direct referral to specialty care is not readily available.

Objective

The goal of this study is to evaluate the content and implementation of psychiatric eConsults by primary care providers in a rural academic medical center.

Methods

This is a retrospective review of 343 eConsults placed between May 2016 and February 2019 by primary care providers at a single academic medical center. The content of eConsult requests, including patient diagnosis, consult question type, specialist recommendations, patient demographics, the distance of patient and primary care providers from the consulting provider, rate of implementation of the recommendation, and response time, were analyzed.

Results

The most common diagnoses associated with eConsults were depression (162/450, 36%) and anxiety (118/450, 26%). The most commonly asked eConsult question was regarding medication management, including medication choice, side effects, interactions, and medication taper (288/343, 84%). More than one recommendation was included in 76% (259/343) of eConsults, and at least one recommendation was implemented by the primary care provider in 94% (282/300) of eConsults. The average time to respond to an eConsult was 26 hours.

Conclusions

This study demonstrates that psychiatry eConsults can be conducted in a timely manner and that primary care providers implement the recommendations at a high rate.
Changes in Self-Reported Web-Based Gambling Activity During the COVID-19 Pandemic: Cross-sectional Study (Preprint)
Authors: Claesdotter-Knutsson Emma , Håkansson Anders
Published: July 2021

BACKGROUND

The COVID‑19 pandemic has affected not only somatic health with over 3.7 million deaths worldwide, but also has had a huge impact on psychological health, creating what amounts to a mental health crisis. The negative effect of the pandemic on traditional addictions is well described and concerning, and the same has been seen for gambling.

OBJECTIVE

This study explores self-reported web-based gambling behavior during the COVID‑19 pandemic in Sweden. We investigated overall changes, but also changes in specific web-based gambling types, and whether they are associated with certain risk factors or lifestyle changes.

METHODS

Our study is based on an anonymous web-based survey of web panel participants in Sweden (N=1501) designed to study a range of behavioral changes during the COVID‑19 pandemic. Increases in gambling were analyzed using logistic regression models against sociodemographic data and psychological distress.

RESULTS

The majority of the respondents who gambled reported no changes in their gambling habits during the COVID‑19 pandemic. We found significant associations with the problem gambling severity index (PGSI), the Kessler score (indicating psychological distress), employment status, changes in alcohol habits, and self-exclusion when looking at overall changes in gambling activity in the pandemic. In the subgroup that reported an increase in gambling activity, we found an association with both the PGSI and Kessler scores. The PGSI score was also an independent predictor for all specific web-based gambling (horses, sports, poker, and casino) whereas the Kessler score only had a significant impact on changes in casino gambling. In addition, male gender was an independent predictor for gambling on sports and casino gambling.

CONCLUSIONS

The majority of respondents who gambled reported no changes in their gambling activity during the COVID‑19 pandemic. The group that reported an increase in overall gambling activity during the COVID-19 pandemic represent a group with gambling problems and psychological distress. The group that reported increased sports and casino gambling were often male, and this group seemed to experience more psychological distress.
Design Thinking Methodology for Migration of Escape Room Style Educational Game in an Online Environment (Preprint)
Authors: Vold Tone , Videnovik Maja , Dimova Georgina , Kiønig Linda , Trajkovik Vladimir
Published: July 2021

BACKGROUND

The Corona pandemic outbreak has led to a sudden change in education, closing schools and shifting the teaching online, which has become an enormous challenge for teachers and students. Implementing adequate online pedagogical approaches and integrating different digital tools in the teaching process has become a priority in educational systems. Finding a way to keep students' interest and persistence for learning is an important issue that online education is facing. One possible way for establishing engaging and interactive learning environments, utilizing students’ energy and enthusiasm for educational purpose, is use of game-based learning activities and gamification of different parts of educational process.

OBJECTIVE

This paper presents how we have used design thinking methodology to migrate escape room style educational game in an online environment.
We investigated whether digital educational escape room can be used to increase student engagement in remote teaching and online learning.
We also investigate whether we can we design thinking to create an engaging escape room educational game and provide novel educational value for the escape room educational game.

METHODS

Using design thinking methodology, we managed to understand which game elements were considered most engaging by the students. Starting from students’ perspective we have created a simple digital escape room where students had an opportunity to self-assess their knowledge in computer science at their own pace. Students tested the prototype game and their opinion about the game was collected through an online survey. The test's main goal was not to measure students' achievement but to evaluate the students' perceptions of the implemented digital educational escape room style game and provide information on whether it could increase students' engagement in learning computer science.

RESULTS

117 students from sixth and seventh grades filled the survey regarding the achieved
students’ engagement. Despite the differences in students’ answers about game complexity and puzzles' difficulty, most students liked the activity (M = 4.75, SD = 0.67 on scale from 1 to 5). They have enjoyed the game, and they would like to participate in this kind of activity again (M = 4.74, SD = 0.68). All students (100% of them) found the escape room interesting for playing and learning.

CONCLUSIONS

The results confirmed that digital escape rooms could be used as a tool for increasing students' interest and motivation for achieving learning outcomes and gave us an insight in the elements that could be improved in the game.
Implementation of Multilingual Chatbot
Authors: Doshi Gopan
Published: July 2021

Chatbots – otherwise called "conversational agents" – are software applications that mimic human speech to simulate a discussion or communication with a genuine individual. Chatbots measure the content introduced to them by the user, prior to responding as indicated by a complex series of algorithms that deciphers and recognizes what the user said, deduces what they mean, and decides a progression of fitting responses dependent on this data. The flaw in this technology is that, majority of the chatbots support English language only and not many have the expertise to impart in numerous dialects. We can’t expect all the users using this technology to know and communicate in English, and despite that, a study shows that individuals are inclined toward imparting in their local language since it's more convenient. We’ve made our attempt to overcome this flaw by building a system that is plurilingual and can communicate in a total of 108 languages. Through this paper, we explain the development of a multilingual chatbot i.e., a bot that can converse with users in multiple languages, it can be a tremendous asset to any organization. This particularly holds true in an exceptionally semantically assorted nation like India.
Design and Fabrication of Solar Operated Car
Authors: Bhadke Mr. S. D.
Published: July 2021

This work, focused on an idea about hybrid solar car technology which solves the major problem of fuel and pollution in present days. Determine how feasible widespread change to hybrids would be in future with all information taken into account, concluded that hybrids have several advantages as fuel efficient, low pollution. In the present work a complete drawing and drafting of hybrid solar car have been prepared using CATIA V5R19 software. After complete analysis of this drawing by using ANSYS 14.5 it is find out bear capability of load, stress, and strain of front & rear collision of car frame. A completed data are analyzed to examine the technical aspects of the hybrid car technology. Overall, hybrid technology has a lot of potential in the distant future, but as for right now they are not a significant applied over today's internal combustion engine.
Pillbox: Medicine Recognition System for Chronic Patients using Raspberry Pi
Authors: Patil Shashwati S.
Published: July 2021

Chronic disease has become important threat to be handled in today’s date. As per WHO the millions of people suffering from this disease and most of them are older ones. Overall death rate in country is effecting due to chronic disease. The main reason of increased number of chronic patients is nothing but having lot of medications because of having number of health conditions as well as increased percentage of drugs in patient’s body. So, the system introduced successfully works to reduce death rate as well as to minimize drug intake in patient’s body. The system comprises of raspberry pi based pill recognition device namely “Pillbox”, Apache cloud based platform and android based mobile application.
Smart Communication Assistant for Deaf and Dumb People
Authors: Harshada Ajabe
Published: July 2021

Communication is the medium by which we can share our thoughts or convey the messages with other person. Nowadays we can give commands using voice recognition. But what if one absolutely cannot hear anything and eventually cannot speak. So the Sign Language is the main communicating tool for hearing impaired and mute people, and also to ensure an independent life for them, the automatic interpretation of sign language is an extensive research area. Sign language recognition (SLR) aims to interpret sign languages automatically by an application in order to help the deaf people to communicate with hearing society conveniently. Our aim is to design a system to help the Deaf and Dumb person to communicate with the rest of the world using sign language. With the use of image processing and artificial intelligence, many techniques and algorithms have been developed in this area. Every sign language recognition system is trained for recognizing the signs and converting them into required pattern. The proposed system aim to provide speech to speechless, in this paper we have introduced Sign Language Recognition using CNN for dynamic gestures to achieve faster results with high accuracy.
A Review Paper on Modification in Worktable of Belt Grinder
Authors: Patel Vatsal P.
Published: July 2021

In most of the industries grinding is the final stage of finishing process. Grinding is a machining process which uses an abrasive wheel or belt type cutting tool. This grinding machine is used in various industries for finishing of work pieces and give high surface quality. Grinding with wheel or belt type cutting tool is used for different precision applications such as deburring in foundries and constructions, polishing, engraving and cut-off grinding. Our project provides flexible worktable through which angular grinding with better surface finish can be obtain. Also less force is generated through this arrangement which in turn provides firm gripping.
Isolation of Actinomycetes from Different Soil Sample (NCR Region) & Screening their Antibacterial Activity Against E.Coli and Bacillus
Authors: Sharma Ritu
Published: July 2021

In the extant study, the soil samples were gathered up from NCR region. A total 9 Actinomycetes strains were isolated from the NCR. These Actinomycetes had been cloistered with respect to capability against Gram-positive and Gram-negative bacteria. Soil sample was isolated for their antibacterial activity. They were assess for their constraint activities on 2 test organism. The culture characteristics of screened bacteria were also studies in non-identical culture media. The results specify that 9 Actinomycetes isolates were highly active against E. Coli, and Bacillus strains. 9 Actinomycetes isolates were extremely vigorous with an inhibition zone more than 16 mm in diameter. All the antibiotics producing actinomycetes were isolated at 28 °C from soil sample. 9 Actinomycetes isolates showed activity against bacteria in which chiefly from alkaline soil. Where the less intervention by human for agriculture or other purpose. These Micro-organisms may have capability to produce powerful & essential medicines factories. Most of bacteria have elaborated resistance to almost all antibiotics. An infamous instance of multi-resistant bacteria is the ‘hospital superbug’, MRSA. Seeking of new antibiotics has become an aqueduct against time.
Activity Recognition using Accelerometer Sensor and Machine Learning Classifiers
Authors: Sunny Emin T
Published: July 2021

Development affirmation is considered as a huge endeavor in various applications, particularly in clinical consideration organizations. Among these applications consolidate clinical decisive, seeing of customers' consistently timetable and ID of unusual cases. Here we present an approach for the development affirmation using an accelerometer sensor embedded in a mobile phone. This strategy uses a transparently available accelerometer dataset as the unrefined information signal. The features of the sign are picked subject to the time and repeat space. By then, Principal Component Analysis (PCA) is used to diminish the dimensionality of the features and concentrate the primary ones that can describe human activities. An assessment collaboration is performed between the primary unrefined data and PCA-based features and moreover, time and repeat region features are similarly contemplated using a couple of AI classifiers. The got results show that the PCA-based features get higher affirmation rate while repeat region features have higher exactness, with the speed of 96.11% and 92.10% independently.
Serverless: Next Generation of Cloud Computing
Authors: Ali Md Amir
Published: July 2021

Serverless computing has emerged as a promising new paradigm for application and service deployment. The process of delivering code into production can be made easier with serverless computing. Serverless code can be utilized alongside standard deployment strategies such as microservices and monoliths. Alternatively, programs can be developed to be completely serverless, meaning they don't require any supplied servers. A serverless computing service concept is also called Function as a Service (FaaS), which allows developers to deploy specific functions to the cloud. FaaS has proven to be effective for a variety of computational activities, although using it for web apps can be difficult due to excessive response times on occasion. Nevertheless, serverless computing for web applications is gaining popularity. It is a testament to the maturity and widespread usage of cloud technologies, as it symbolizes the development of cloud programming paradigms, abstractions, and platforms. In this research, we investigated existing serverless platforms from industry, academia, and open-source initiatives, identifying key criteria.
Fabrication of Multi-Purpose of Agriculture Vehicle
Authors: Madhusudhan D.
Published: July 2021

The main aim of the project is to develop multi-purpose agricultural vehicle, for performing major agricultural operations like ploughing, seeding, & pesticide spraying. The modification includes fabricating a vehicle which is small, compact in size. The project is about a machine design which makes cultivation much simpler. The design of the chassis of the vehicle is made in such a way that it is suitable for the operations. The design for automatic seed sowing equipment is made. The plough is designed and modified the currently available plough tool in such a way that it with stand the load.
Implementation of Automatic Irrigation Controller
Authors: N Nagendra
Published: July 2021

Agriculture and food production is a traditional technique; nevertheless, modern technologies were introduced, and it was only via the modernization of advanced technological equipment that Wireless Sensor Networks (WSN) were able to manage the sequence range of data. The sequence from the agricultural field is updated in real time by these automated irrigation controllers. The pH levels of the agricultural field are measured, and the selected crops of the observe framework are live adapted for optimal crop environment. The main goals are to control wastage of water, boost fertilization requirements, and enhance the performance in yield. The cloud server solution restores data oracle ingress and restricts without the need for human intervention.
The Study of Impact of Data Science on Business
Authors: Mishra Anush
Published: July 2021

Data science is the study of huge amounts of data using current tools and methodologies to discoverpreviously unknown pattern, derive valuable information, and make business decisions. To create prediction models, data scientistsuse complicated machine learning algorithms. The present study focus on the impact of data science on society. The survey has been conducted with 50 companies and their responses were recorded and analyzed. The data science is a fast growing sector and many companies are hiring data scientist to increase their revenues and develop their businesses. It also makes significant impact on society by influencing advertisements. The factors like cost reduction, better product management found to be more preferred factor. While a significant growth in terms of hiring Data Scientists and average salary has been observed. The revenue spent of dvertisement has also increased. Thus we can say Data Science has made the business more successful. Today, it is used in almost every field in the world for various purposes, Specifically in security, healthcare, business, agriculture, transportation, education, prediction, telecommunications, and other fields.
Formulation of India State Hunger Index and Assessment of Associated Factors
Authors: Khan Arshi T.
Published: July 2021

There are many faces of hunger such as loss of energy, lack of interest, increased vulnerability to disease, shortfalls in nutritional status and premature death. Hunger is usually linked with lack of food. India State Hunger Index was formulated by assigning weights to the components of the index using principal component analysis. Association between hunger index and factors affecting it was assessed. Kerala has the minimum index score indicating less hunger, whereas, Jharkhand has the maximum index score depicting serious hunger situation. Literacy (men-women), households with improved drinking water facility and households with sanitation facility are highly associated with the India State Hunger Index. The factors like literacy (men-women), household with improved drinking water and sanitation facility and child’s adequate diet are required to be considered while framing the policies to mitigate the problem of hunger.
COGNISHIELD : A Simple Practical Technique for Instant Spontaneous Treatment of all Possible Psychological Disorders and to Drastically Enhance Cognition by Absolute Conscious Control of Mind
Authors: Sodhi Dr. Nitnem Singh
Published: July 2021

This research paper introduces a simple practical technique named “COGNISHIELD” by the author which when practised, results in instant spontaneous elimination/treatment of all possible psychological disorders and it also drastically enhances cognition & mental faculties of human brain. It provides absolute conscious control of mind.
Pulse Rate and Oxygen Level Measurement Using Arduino
Authors: Singh Shiv Prakash
Published: July 2021

Use of technology in healthcare is growing importance as a result of the tendency to acquire chronic disease like heart attack and high blood pressure. Heart rate and blood oxygen saturation is a couple of such biometrics that is monitored in this project to provide information regarding the health of the body. By measuring the intensity change of light transmitted through tissue due to arterial blood, heart rate is measured. Furthermore, oxygenated blood has different light absorption characteristics than deoxygenated blood under red and infrared wavelengths. Comparing the absorptions produce an estimate of the oxygen saturation of blood. The purpose is to examine how heart rate and the oxygen saturation of subject is measured from finger and then processed and displayed. The design, is small in size, easy to use, allows a non- invasive, real time method to provide information regarding health. This enables an efficient and economical means for managing the health care. This document is intended to be used by engineers, medical equipment developers, anyone related to medical practice and interested in understanding the operation of pulse oximeter and heart rate monitoring system.
Monotonic Trend Analysis of Temperature Series over Mandya City, Karnataka
Authors: M S Madhusudhan
Published: July 2021

Climate change is mostly driven by global warming. Climate change is one of the most critical long-term development issues, particularly for developing countries like India. India is one of the world's most climatically diverse countries, making it sensitive to climatic change and impacting the livelihoods of millions of people who rely on agriculture. Temperature and its fluctuation have direct and indirect impacts on crop development in the agricultural sector. Understanding the temperature and its variability in a changing environment would aid in improved decision-making and suggest feasible adaption strategies. The present study focuses on temperature trend analysis in Mandya city, Karnataka, India. The analysis was carried out through the non-parametric Mann-Kendall test and Sen's slope estimator. The findings demonstrate that, there has been a rising trend in temperature in the study area over the last 30 years as a result of climate change. From the analysis, there is a significant positive trend for all the seasons considered for the significance level of 90%, 95% and 99%. The magnitude of the increasing trend will be in the range of 0.46 °C/year for the average time series. Also, there will be an average increase of 0.07 °C/year for the various scenarios considered in Mandya city for the Maximum temperature series.
Twitter Bots Detection Using Machine Learning Techniques
Authors: S G Deekshith
Published: July 2021

The social network, a crucial part of our life is plagued by online impersonation and fake accounts. Fake profiles are mostly used by the intruders to carry out malicious activities such as harming person , identity theft and privacy intrusion in Online Social Network(OSN). Hence identifying an account is genuine or fake is one of the critical problem in OSN .In this paper we proposed many classification algorithm like Support Vector Machine algorithm ,KNN, and Random Forest algorithm. It also studies the comparison of classification methods on Spam User dataset which is used to select the best.
A ZONE OF TWILIGHT? PEACE AND CONFLICT IN LATIN AMERICA AND THE UNITED NATIONS
Authors: Özçelik Sezai
Published: July 2021

This paper aims to explain the shift in Latin America’s level of conflict and internal violence relative to other regions in the world. It examines a single regional subsystem, Latin America within the framework of conflict and peace as well as the role of the United Nations. First, it aims to shed lights on main transformations and changes in terms of political, economic, social and cultural issues in Latin America. Second, the concept of the zone of peace is examined within the context of Latin America. The main activities of the United Nations in relation to conflict and peace are investigated in the third section. In conclusion, it underlines the lessons learned from conflict and peace processes in Latin America.
AS PEGADAS DO DRAGÃO NO PÓLO SUL: UM ESTUDO SOBRE AS ESTRATÉGIAS E AS AÇÕES CHINESAS PARA ANTÁRTICA E SUAS IMPLICAÇÕES PARA O BRASIL
Authors: Gonçalves de Oliveira Alana Camoça
Published: July 2021

The starting point of the article is the perception of the relevant role that China has been gaining in the international arena and the competitive and geopolitical pressure that it has been exercising in the most diverse international strategic theaters, including in the Polar Regions – Arctic and Antarctic. Considering the relevance of the Antarctic, the present article analyzes the Chinese strategy and its growing presence in the Antarctic and its implications for Brazil, using the theoretical frameworks of classical geopolitics, realism, and the theory of global power.