bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing and In silico Studies of Novel Hybrid of 1,3,4-oxadiazolechalcone
Derivatives as EGFR Inhibitors
Authors: Patil Shital M , Shashikant Bhandari
Published: June 2023

Background:

The tyrosine kinase epidermal growth factor receptor (TK-EGFR) has recently
been identified as a useful target for anticancer treatments. The major concern for current EGFR inhibitors
is resistance due to mutation, which can be overcome by combining more than one pharmacophore
into a single molecule.

Aim and Objective:

In the present study, various hybrids of 1,3,4-oxadiazole-chalcone derivatives
were gauged for their EGFR inhibitory potential.

Method:

The design of 1,3,4-oxadiazole-chalcone hybrid derivatives was carried out and in silico
studies, viz., molecular docking, ADME, toxicity, and molecular simulation, were performed as EGFR
inhibitors. Twenty-six 1,3,4-oxadiazole-chalcone hybrid derivatives were designed using the combilib
tool of the V life software. AutoDock Vina software was used to perform in silico docking studies,
while SwissADME and pkCSM tools were used to analyse molecules for ADME and toxicity. Desmond
software was used to run the molecular simulation.

Result:

Around 50% of molecules have shown better binding affinity as compared to standard and cocrystallized
ligands.

Conclusion:

Molecule 11 was found to be a lead molecule that has the highest binding affinity, good
pharmacokinetics, good toxicity estimates and better protein-ligand stability.
Advances in iPSC Technology in Neural Disease Modeling, Drug Screening,
and Therapy
Authors: Dai Sihan , Qiu Linhui , Veeraraghavan Vishnu Priya , Sheu Chia-Lin , Mony Ullas
Published: June 2023

Neurodegenerative disorders (NDs) including Alzheimer’s Disease, Parkinson’s Disease, Amyotrophic
Lateral Sclerosis (ALS), and Huntington's disease are all incurable and can only be managed
with drugs for the associated symptoms. Animal models of human illnesses help to advance our understanding
of the pathogenic processes of diseases. Understanding the pathogenesis as well as drug screening
using appropriate disease models of neurodegenerative diseases (NDs) are vital for identifying novel
therapies. Human-derived induced pluripotent stem cell (iPSC) models can be an efficient model to create
disease in a dish and thereby can proceed with drug screening and identifying appropriate drugs. This
technology has many benefits, including efficient reprogramming and regeneration potential, multidirectional
differentiation, and the lack of ethical concerns, which open up new avenues for studying neurological
illnesses in greater depth. The review mainly focuses on the use of iPSC technology in neuronal disease
modeling, drug screening, and cell therapy.
Microarray-based Analysis of Differential Gene Expression Profile in
Rotenone-induced Parkinson’s Disease Zebrafish Model
Authors: Nies Yong Hui , Yahaya Mohamad Fairuz , Lim Wei Ling , Teoh Seong Lin
Published: June 2023

Background & Objectives:

Despite much clinical and laboratory research that has been performed
to explore the mechanisms of Parkinson’s disease (PD), its pathogenesis remains elusive to
date. Therefore, this study aimed to identify possible regulators of neurodegeneration by performing
microarray analysis of the zebrafish PD model’s brain following rotenone exposure.

Methods:

A total of 36 adult zebrafish were divided into two groups: control (n = 17) and rotenonetreated
(n = 19). Fish were treated with rotenone water (5 μg/L water) for 28 days and subjected to locomotor
behavior analysis. Total RNA was extracted from the brain tissue after rotenone treatment.
The cDNA synthesized was subjected to microarray analysis and subsequently validated by qPCR.

Results:

Administration of rotenone has significantly reduced locomotor activity in zebrafish (p <
0.05), dysregulated dopamine-related gene expression (dat, th1, and th2, p < 0.001), and reduced
dopamine level in the brain (p < 0.001). In the rotenone-treated group, genes involved in cytotoxic
T lymphocytes (gzm3, cd8a, p < 0.001) and T cell receptor signaling (themis, lck, p < 0.001) were
upregulated significantly. Additionally, gene expression involved in microgliosis regulation (tyrobp,
p < 0.001), cellular response to IL-1 (ccl34b4, il2rb, p < 0.05), and regulation of apoptotic process
(dedd1, p < 0.001) were also upregulated significantly.

Conclusion:

The mechanisms of T cell receptor signaling, microgliosis regulation, cellular response to
IL-1, and apoptotic signaling pathways have potentially contributed to PD development in rotenonetreated
zebrafish.
syntax of Amharic ideophones
Authors: Mulugeta Teferi , Yimam Bye
Published: June 2023

This study is on Amharic ideophones, a subject that has not been described well in the syntax of Amharic. The data used for the analysis are collected from natural settings of the Amharic-speaking community in Debre Birhan College of Teacher Education. The description shows that Amharic ideophones contradict some earlier generalizations made about the syntax of ideophones in such works which claim that ideophones do not fit in the grammar of other word classes in a language, and which states that ideophones do not enter any phrase structure, nor are they modified by other word classes.  The description here shows that ideophones fit well into the grammar of the Amharic language. In contrast to such claims, they project different phrases such as noun phrases, which occur in subject and object positions and they can occur with or without a modifier.  Their verb phrases appear with adverbial modifiers. Amharic ideophones can also be modifiers of nouns, verbs, and adjectives. They form complex predicates with auxiliaries.  Their noun phrases come in dative, ablative and locative case forms.  Ideophones occur in all types of sentences, suggesting that their distribution is unrestricted.
phonology of Kafi Noonoo ideophones
Authors: Mulugeta Teferi , Mengistu Girma
Published: June 2023

This paper is the first and original work on the phonology of Kafi Noonoo ideophones. All of the data used in this study are collected through fieldwork. Ideophones are attested word classes with peculiar phonology in that they break some phonological rules of the prosaic language. Kafi Noonoo ideophones also undergo unique phonological features from the regular phonology of the language.  Kafi Noonoo ideophones use all the phonemes of the regular language and additional five click-like sounds (ʘ, ǃ, ǁ, ʞ, and tchip).  The click-like sounds do not found in the language and the regular phonology of Ethiopian Afro-Asiatic languages in general. Kafi Noonoo ideophones show different suprasegmental features from the regular phonology of the language. Another striking phonological feature in ideophones of the language is that ideophones break the phonotactics and suprasegmental features rules of the prosaic language. Moreover, Kafi Noonoo ideophones exhibit some syllable structures that are specific to ideophones. These are the (C1VC2C2), (CVVV…), (C1VVV…C2) and (C1VC2C2C2…). Furthermore, Kafi Noonoo is a tone language. The language has high and low tones. As the result of the study depicts ideophones of the language constitute both open and closed syllable shapes.
RECOMMENDATIONS TOWARDS SUSTAINABLE FARMING METHOD FOR AN ORGANIC VEGETABLE PRODUCTION IN BUKIDNON, PHILIPPINES
Authors: Javier Joemar Dayham , Sison Maria Pia M
Published: June 2023

There are various methods or practices for sustainable farming. This study recommends farming methods that are appropriate and effective for organic vegetable production in Bukidnon and, in some way, serve as the basis for sustainable farming. Thus, this paper aims to recommend a sustainable farming method for organic vegetable production. Results of the study revealed that the organic focal person-key informants would highly recommend farming practices such as crop rotation, and intercropping for crop planning and management, composting, green manures and animal manure for nutrient management, pest and disease management, weed management, soil cultivation and tillage, plant propagation such as traditional varieties and seed conservation, and diversified farming system. As reported, there are no specific local markets for organic products in Bukidnon, as well as international markets. Among the issues and concerns raised by the key informants, organic certification is the topmost issue. This issue set a little drawback and discouraged some farmers from going organic. Recently, the senate in the Philippines finally approved the amendment of RA 10068, a bill recognizing the Participatory Guarantee System (PGS). They can now certify organic producers, compared to before when only third-party certifying bodies could certify and label organic products.
ANALYZING HOUSEHOLD DEMAND FOR ANIMAL FOOD AS A SOURCE OF PROTEIN: THE CASE OF RURAL GORONTALO PROVINCE, INDONESIA
Authors: Khoiriyah Nikmatul , Apriliawan Hadi , Forgenie David
Published: June 2023

Animal foods are a major source of protein for households. Gorontalo Province has a lot of potential for marine fishery development, despite being one of the provinces where families consume less protein than the national protein sufficiency rate. This article investigates the household elasticity of demand for animal food in the context of increasing prices and incomes. The Quadratic Almost Ideal Demand System is used in to estimate the share equations from which reliable price and income elasticities can be derived. The article utilizes secondary data from the National Socio-Economic Survey for March 2021, which includes consumption and household expenditure information on all animal protein-containing meals, 4,811 households make up the study's sample. All animal foods, except for eggs, were found to be highly price elastic. The most elastic food is beef, which has a demand elasticity of 3.829%, followed by chicken meat (3.13%), fish (2.345%), milk (1.311%), and eggs (0.846 percent). Eggs were discovered to be price inelastic. Except for eggs, all animal products are considered luxury goods as indicated by income elasticity estimates. Beef has the highest income elasticity (3.181%), followed by chicken (2.957%), fish (1.674%), and milk (1.574 percent). Eggs are normal items because their income elasticity is the lowest at 0.589 percent. This finding confirms that for households in rural Gorontalo, price policy is more effective than income policy.
INFLUENCE OF PRICE PERCEPTION AND ELECTRONIC WORD OF MOUTH ON CONSUMER PURCHASE DECISION THROUGH E-COMMERCE IN MALANG CITY (STUDY AT SHOPEEFOOD SERVICES IN SHOPEE E-COMMERCE)
Authors: Irawan Cholista Ferry , Hartono Rachman , Maulidah Silvana , Isaskar Riyanti
Published: June 2023

Technological developments in the era of globalization have provided changes for society both in social, economic, and cultural aspects. This massive technological development has created unprecedented new job and business opportunities. One of the business potentials created by the massive development of information technology is the emergence of a business opportunity through e-commerce. This study focuses on the Shopeefood service. This study's objective was to investigate the influence of price perception "and electronic word of mouth” on consumer purchase decisions. This study employs a quantitative methodology and data collection strategies using online surveys through questionnaires. The data in this study were analyzed using SEM-PLS. This research was conducted in Malang City from April to May 2022. This study used three variables, namely price perception (X1) and Electronic Word of Mouth (X2) as exogenous variables and purchase decision (Y1) as endogenous variables. This research proves that/price perception and e-WOM/have a significant effect on purchase decisions. With a "path coefficient” value of 53% and a P-Value of 0.01, the price perception variable strongly significantly influences the decision to buy. With a path/coefficient value of 17% and a P-Value of 0.03, the e-WOM variable significantly affects consumer decision-making.
The Development of a Sustainable Tourism Area for Borobudur Temple as a City Branding Theme for Magelang Regency
Authors: Soesanta Prabawa Eka , Putra Imam Radianto Anwar Setia , Hutagalung Oktavia Haryani
Published: June 2023

The concept of city branding is needed to accelerate development in an area. Sustainable tourism development in Magelang Regency requires city branding by utilizing the existence of Borobudur Temple as a Super Priority Tourism Destination in Indonesia to become the main lever in efforts to improve the welfare of the local community. This study aims to analyze the importance of city branding in developing the Borobudur Temple tourism area as a world heritage site for Magelang Regency. This study used qualitative – descriptive to find, explain, and formulate conclusions using data collection techniques through interviews with key informants and FGDs with sources from the BOB, heads of cooperation, and leadership in charge of government affairs in the tourism sector. This research found the important benefits of establishing Borobudur Temple as a world heritage site and one of Indonesia's Super Priority Tourism Destinations to become a sustainable city branding for Magelang Regency to increase tourism promotion to domestic and foreign tourists. Establishing city branding in Magelang Regency requires collaboration and coordination between stakeholders, strategic area management, and micro, small, and medium enterprises empowerment. In conclusion, the implementation of sustainable development in Magelang Regency requires the establishment of city branding, which is linked to the existence of the development of the Borobudur Temple tourist area as a world heritage site.
Health System Innovation; kun je opereren op de maan?
Authors: Cense Huib A.
Published: June 2023

De zorg verplaatst zich van gebouwen naar hybride netwerken waarin zowel fysiek als digitaal zorg wordt aangeboden. De zorg wordt daardoor complexer en lineair denken over de organisatie van zorg wordt steeds meer vervangen door denken in zogenaamde complexe adaptieve systemen. Naast de medische inhoud, is voor de patiëntervaring het logistieke proces van de behandeling belangrijk. De vragen voor onderzoek zijn dan ook: Hoe optimaliseer je de organisatie oftewel ‘de operatie’ van de zorg, en welke invloed hebben netwerkvorming en digitalisering van processen op kwaliteit van zorg en kwaliteit van leven? Binnen het ziekenhuis is verbetering mogelijk als zorgverleners geregeld met het hele team een stap terug doen om het zorgproces rondom een bepaald ‘zorgproduct’ opnieuw te ontwerpen. Binnen regionale netwerken zouden afspraken over verdeling van capaciteit goed zijn. Als vervolgens de capaciteit inzichtelijk wordt gemaakt op een platform waar de patiënt zelf een behandeling kan plannen, dan is dat winst voor patiënt, ziekenhuis en verzekeraar. De kwaliteit van zorg binnen zo’n netwerk kan gemeten worden door kwaliteitsregistraties. Vervolgens kan de kwaliteitsinformatie binnen een netwerk gebruikt worden voor leren en verbeteren. Het Integraal Zorgakkoord is ambitieus maar bij teleurstelling dreigt overregulering. Daarom een pleidooi voor het benoemen doelen in de vorm van Moonshots. Dokters betrek je bij de uitvoering met een nieuwe manier van werken gebaseerd op de succesfactoren voor een operatie: de Moonshot Operating Room. Er is volop expertise en ambitie aanwezig in Groningen, ideaal voor onderzoek op de genoemde gebieden.
Salud de los bosques de galería y de los ecosistemas ribereños
Authors: Mendoza-Cariño Mayra , Cruz-Flores Gerardo , Mendoza Cariño Daniel
Published: June 2023

Los bosques de galería (BG) también conocidos como vegetación ribereña, se desarrollan en los bordes de los ríos y de los arroyos; forman parte de los ecosistemas de transición entre hábitats terrestres y acuáticos y cumplen funciones esenciales en el resguardo de los ecosistemas, suministran bienes y servicios para la biota y el bienestar humano. Por ello, el tema de la salud de los BG es de interés creciente; en la literatura científica se aborda a través de diversas expresiones y enfoques, lo que genera confusiones en su interpretación. Los objetivos de este trabajo fueron: i) analizar los términos científicos asociados a la salud de los BG, para aclarar su significado y alcance y ii) exponer la evidencia científica en la experiencia de México de la relación: salud del ecosistema ribereño (ER) y especies vegetales invasoras. Para ello, se hizo una búsqueda de información exhaustiva en el tema, cuyos resultados señalaron varios conceptos con criterios y propósitos diferentes. En este trabajo se proponen definiciones precisas sobre la salud del BG y del ER. Finalmente, se exhibe la evidencia científica de las afectaciones que generan algunas plantas invasoras como Arundo donax L. (carrizo) y Ricinus communis L. (ricino), en la salud de los BG y ER de México. La salud de los BG influye en aquella de los ER, y esta en la de los seres humanos y su bienestar, por lo que es necesario un mayor entendimiento del tema y, así, promover su conservación.
Adaptive Algorithm of the Wheelchair-Verticalizer User Interface System
Authors: Yatsun S. F. , Mal’chikov A. V. , Shcherbakova M. P.
Published: June 2023

Purpose of reseach. Development of a scheme and adaptive algorithm for the operation of an intelligent humanmachine system for the user interface of a wheelchair-verticalizer, taking into account the physiological characteristics of the operator, the wheeled platform and the external environment.Tasks. The study of the physiological characteristics of human-machine interaction in people with damage to the musculoskeletal system. Design development and mathematical description of the joystick as a component of a human-machine system. Development of adaptive algorithm and software for the wheelchair user interface system. Methods. Using the method of finite-state machine to describe the algorithm of motion modes switches. The use of polynomial functions in order to obtain smooth laws for changing the setpoints for the device drives. The use of nonlinear sensitivity coefficients of the joystick handle to provide adaptive modes of movement of the wheelchairverticalizer. Results. In the course of the study, the modes of movement of a wheelchair-verticalizer were developed and described. The design scheme and principle of operation of the joystick are presented and described. The modes of operation of the human-machine system was described mathematically and graphically. The adaptive algorithm of the user interface system of a wheelchair-verticalizer proposed in the paper interpret joystick inclinations into setpoints signals for wheelchair drive controllers. The use of non-linear sensitivity coefficients of the joystick handle to provide adaptive modes of operation of the wheelchair, taking into account the features of the hands movement of people with impaired functions of the musculoskeletal system, the movement of the wheelchair and the state of environment, is described.Conclusion. The adaptive algorithms of the human-machine system and the modes of movement of the upright wheelchair developed within the framework of the work make it possible to increase the safety and smoothness of movement through the use of non-linear sensitivity coefficients of the joystick handle and smooth laws of setting influences obtained on the basis of polynomial functions.
Two-Module Neural Network Method of Information Processing in Gas Analysis Systems
Authors: Bondar O. G. , Brezhneva E. O. , Botikov K. A. , Polyakov N. V.
Published: June 2023

Purpose of research: reduction of additional errors in measuring gas concentrations in gas analytical systems (GS) caused by the sensitivity of semiconductor sensors to non-target components of gas mixtures, ambient temperature and humidity. To develop and test a two-module neural network method for processing information in a GS, which allows automating the processes of generating training data and searching for the optimal structure of artificial neural networks (ANNs), reducing errors in reproducing the characteristics of sensors by replacing their mathematical models with neural networks.Methods. Theory of artificial neural networks, numerical methods, simulation methods. To evaluate the effectiveness of the proposed solution, the relative error (d), standard deviation (RMS) were calculated, and comparison with analogues was carried out.Results: a two-module neural network method for processing information in a GS has been studied. Numerical modeling was used to carry out experimental studies on the choice of optimal ANN structures, the volume and composition of training data. In the course of experimental studies, the errors of generating training data using ANN (less than 5%) and determining the concentrations of detected gases under conditions of fluctuations in the parameters of the air environment and the composition of the gas mixture (less than 4%) were calculated.Conclusion. A two-module neural network method for information processing is proposed, which is distinguished by the use of two successive modules of multilayer neural networks for generating training data and processing information coming from the GS sensor unit. The use of an auxiliary module makes it possible to compress the initial data, unify and automate the process of their generation, as well as improve the accuracy of reproduction of multiparameter sensor conversion functions, in comparison with alternative methods. Results of experimental studies of the effectiveness of using the information processing method to reduce additional errors in the quantitative determination of the composition of the air environment under conditions of parameter fluctuations are presented.
Investigation of Thermal Engineering Processes in a Plate Heat Exchanger
Authors: Savvin N. Yu. , Kushchev L. A. , Uvarov V. A. , Okuneva G. L.
Published: June 2023

Purpose of research. The aim of the study is to identify vortex formation zones in the modified corrugated channel of a plate heat exchanger using computer modeling to increase the intensification of the heat exchange process.Methods. Plate heat exchangers have a compact design, which significantly saves space on production areas and facilitates the installation and dismantling of equipment. In accordance with the purpose of this work, we solved the problem of creating artificial turbulence of the flow to increase the thermal characteristics.To implement this task, plates have been developed that have a special geometry that creates a turbulent fluid flow in the channels between the plates and increases the heat transfer coefficient. This makes it possible to achieve higher heat exchange efficiency with the same exchange area, which reduces equipment and operating costs.Results. The result of this work is the implementation of a computer model of a modified corrugated channel for visual assessment of the impact of artificially created turbulators on the degree of vortex formation.Conclusion. The introduction of plates, the main heat exchange part of which contains spherical technological wells, makes it possible to increase the efficiency of the heat exchange process by increasing the heat transfer coefficient. In addition, an increase in the heat transfer coefficient will help reduce the metal consumption and the cost of heat exchange equipment.
Digital Technologies for Assessing and Predicting the Impact of Spatiotemporal Distribution of Greenhouse Gases on the Photosynthetic Activity of Crops
Authors: Ivashchuk O. A. , Kuzichkin O. R. , Goncharov D. V. , Dunaeva V. A.
Published: June 2023

Purpose of research: formation of a bank of models for the implementation of simulation experiments to assess and predict the values of greenhouse gas concentrations in the surface layer of the territory's atmosphere based on artificial neural networks and GIS technologies. The influence of the increased concentration of carbon dioxide in the surface layer of the atmosphere on the growth and development of agricultural plants, namely on the change in photosynthetic activity, the level of mineralization of the humus layer of the soil, which affects crop yields, is considered. The peculiarities of agricultural production determine the relevance of the creation and implementation of a new intelligent technology that will provide the opportunity to identify optimal parameters of crop production.Methods. The formation of a training sample for a neural network was carried out through numerical experiments and mathematical modeling methods. To select the best neural network topology for predicting the concentration of greenhouse gases in the territory under consideration, experiments were conducted that revealed the standard deviation and relative error. To assess the predictive abilities of the models, field experiments were conducted to measure CO2 concentrations in the surface layer of the atmosphere in the agricultural territories of the Belgorod region.Results. A software toolkit has been developed that makes it possible to visualize the dispersion and accumulation of greenhouse gases in the surface layer of the atmosphere. This makes it possible to conduct simulation experiments necessary to determine the territories that are under the influence of man-made sources. An assessment of the photosynthetic activity of plants in the selected territory was carried out, which allows us to form further recommendations for the effective use of agricultural territory aimed at increasing crop yields.Conclusion. The paradigms of neural networks were considered, experiments were conducted to identify the best topology. A software toolkit has been developed to visualize the dispersion and accumulation of greenhouse gases in the surface layer of the atmosphere for decision makers. The effects of technogenic factors on the photosynthetic apparatus of agricultural plants are analyzed, on the basis of which conclusions and practical recommendations for the cultivation of agricultural crops are formulated.
mHealth Self-Monitoring Model for Medicine Adherence of Patients With Diabetes in Resource-Limited Countries: Structural Equation Modeling Approach (Preprint)
Authors: Kgasi Mmamolefe , Chimbo Bester , Motsi Lovemore
Published: June 2023

BACKGROUND

The COVID-19 pandemic has led to serious challenges and emphasized the importance of using technology for health care operational transformation. Consequently, the need for technological innovations has increased, thus empowering patients with chronic conditions to tighten their adherence to medical prescriptions.

OBJECTIVE

This study aimed to develop a model for a mobile health (mHealth) self-monitoring system for patients with diabetes in rural communities within resource-limited countries. The developed model could be based on the implementation of a system for the self-monitoring of patients with diabetes to increase medical adherence.

METHODS

This study followed a quantitative approach, in which data were collected from health care providers using a questionnaire with close-ended questions. Data were collected from district hospitals in 3 South African provinces that were selected based on the prevalence rates of diabetes and the number of patients with diabetes treated. The collected data were analyzed using smart partial least squares to validate the model and test the suggested hypotheses.

RESULTS

Using variance-based structural equation modeling that leverages smart partial least squares, the analysis indicated that environmental factors significantly influence all the independent constructs that inform patients’ change of behavior toward the use of mHealth for self-monitoring of medication adherence. Technology characteristics such as effort expectancy, self-efficacy, and performance expectancy were equally significant; hence, their hypotheses were accepted. In contrast, the contributions of culture and social aspects were found to be insignificant, and their hypotheses were rejected. In addition, an analysis was conducted to determine the interaction effects of the moderating variables on the independent constructs. The results indicated that with the exception of cultural and social influences, there were significant interacting effects on other independent constructs influencing mHealth use for self-monitoring.

CONCLUSIONS

On the basis of the findings of this study, we conclude that behavioral changes are essential for the self-monitoring of chronic diseases. Therefore, it is important to enhance those effects that stimulate the behavior to change toward the use of mHealth for self-monitoring. Motivational aspects were also found to be highly significant as they triggered changes in behavior. The developed model can be used to extend the research on the self-monitoring of patients with chronic conditions. Moreover, the model will be used as a basic architecture for the implementation of fully fledged systems for self-monitoring of patients with diabetes.
Deep Learning Analysis of COVID-19 Vaccine Hesitancy and Confidence Expressed on Twitter in 6 High-Income Countries: Longitudinal Observational Study (Preprint)
Authors: Zhou Xinyu , Song Suhang , Zhang Ying , Hou Zhiyuan
Published: June 2023

BACKGROUND

An ongoing monitoring of national and subnational trajectory of COVID-19 vaccine hesitancy could offer support in designing tailored policies on improving vaccine uptake.

OBJECTIVE

We aim to track the temporal and spatial distribution of COVID-19 vaccine hesitancy and confidence expressed on Twitter during the entire pandemic period in major English-speaking countries.

METHODS

We collected 5,257,385 English-language tweets regarding COVID-19 vaccination between January 1, 2020, and June 30, 2022, in 6 countries—the United States, the United Kingdom, Australia, New Zealand, Canada, and Ireland. Transformer-based deep learning models were developed to classify each tweet as intent to accept or reject COVID-19 vaccination and the belief that COVID-19 vaccine is effective or unsafe. Sociodemographic factors associated with COVID-19 vaccine hesitancy and confidence in the United States were analyzed using bivariate and multivariable linear regressions.

RESULTS

The 6 countries experienced similar evolving trends of COVID-19 vaccine hesitancy and confidence. On average, the prevalence of intent to accept COVID-19 vaccination decreased from 71.38% of 44,944 tweets in March 2020 to 34.85% of 48,167 tweets in June 2022 with fluctuations. The prevalence of believing COVID-19 vaccines to be unsafe continuously rose by 7.49 times from March 2020 (2.84% of 44,944 tweets) to June 2022 (21.27% of 48,167 tweets). COVID-19 vaccine hesitancy and confidence varied by country, vaccine manufacturer, and states within a country. The democrat party and higher vaccine confidence were significantly associated with lower vaccine hesitancy across US states.

CONCLUSIONS

COVID-19 vaccine hesitancy and confidence evolved and were influenced by the development of vaccines and viruses during the pandemic. Large-scale self-generated discourses on social media and deep learning models provide a cost-efficient approach to monitoring routine vaccine hesitancy.

CLINICALTRIAL
The Tragedy of War -- A Neorealism Interpretation of All the Lights We Cannot See
Authors: Mengqi Jin Mengqi
Published: June 2023

The novel All the Light We Cannot See by contemporary American novelist Anthony Doerr, which won the 2015 Pulitzer Prize for Literature. From the perspective of neorealism, this paper analyzes the different living environments and different ways of growth and redemption of Werner and Marie-Laure. At the same time, it reveals the survival difficulties of people during the war and thus reveals the anti-human and destructive nature of war.
Impacts of industrialization on rural employment in Nghi Son economic zone, Tinh Gia District, Thanh Hoa Province
Authors: Quynh Doan Thi Nhu
Published: June 2023

This research focuses on the impact of industrialization on rural employment in Nghi Son economic zone where has been seen as an important southern economic zone of Than hoa province which was built in 2006 and included 12 communes. The cultivated land that is seen as a crucial tool for the survival of peasants was dispossessed for building numerous factories to establish a new industrial town. Although industrialization has created a wide range of jobs for residents, the peasants are not able to catch up with the strong development of economic development. the industrial enterprises were not employed all redundant labor of Hai Yen commune. So, farmers obviously fell into unemployment situation as an obvious result.
Sustainable and Cost-Effective Development of Pervious Paver Block made with RHA (Rice Husk Ash) and RAP (Recycled Asphalt Pavement)
Authors: Katare Satish
Published: June 2023

Abstract: The study's goal is to create cost-effective and eco-friendly pervious paver blocks by reusing asphalt pavement at 0%, 50%, and 100% weight ratios. Building permeable paver blocks using RHA (Rice Husk Ash), an industrial waste product with a cementous ratio of 10% to 20% by weight, is a step toward a more eco-friendly and cost-effective future. Both recycled asphalt pavement (RAP) aggregates and newly quarried "fresh aggregates" (FA) were employed in this investigation. Bituminous concrete (BC) pavement that was 2 years old and Stored in dumping yard besides the Rahul ware house in Gwalior, Madhya Pradesh on Srinagar – Kanyakumari Highway yielded RAP with a nominal maximum aggregate size of 13 mm. The production of PCPB has been standardized. This technique is known as the "cement paste encapsulating aggregate blending method." “After adding all of the aggregate and 20–25% of the total calculated water content, the concrete mixer was operated for 15-20 seconds”. The RP overseas in Lohgarh (M.P.) provided the rice husk ash that was used in the project. Rice husk ash (RHA) has a high specific gravity of 2.10 and a low bulk density of 0.781 g/cc, making it highly reactive and pozzolanic. RHA is recommended for use in both plain and reinforced concrete by the IS 456-2000 Indian Standard code of practice. The results of the investigation demonstrated that G2 graded mixes had higher porosity than G1 graded mixes. The results showed that CL values were minimal at w-c ratios of 0.35. The cement paste at this water-to-cement ratio is strong enough to bind the aggregate particles together, which explains why this occurs. In comparison to the conventional approach, the optimal replacement level of RHA results in block costs that are reduced by 7.5% for 0 RAP and 10% RHA, 15% for 0 RAP and 20% RHA, 20% for 50% Rap and 10% RHA, 27% for 50% RAP and 20% RHA, 33.2% for 100% RAP and 10% RHA, and 40.62% for 100% RAP and 20% RHA. The conclusion is that RHA-made paver blocks are reliable and cost-effective. The conclusion is that paver blocks made by RHA are durable and affordable
Dynamic Production Tracking and Color-Coded Dashboard for Manufacturing Equipment
Authors: Tathe Prof. P. B.
Published: June 2023

Abstract: This project presents a real-time production monitoring and color indication dashboard for industrial machinery. The system addresses the issue of manually monitoring the quantity and quality of production of each machine in a factory and provides an automated solution that reduces manual errors and improves efficiency. The objective of this project is to implement automation to reduce the manual effort of constantly updating the status of machines and providing accurate and real-time updates to the factory manager.
Latest Developments in TIG Welding - A Review
Authors: Hassan Basit
Published: June 2023

Abstract: TIG welding has been used to join two metals or alloys by continuously providing a wire electrode and a shielding gas to protect the weld pool from air contamination. The supply of inert shielding gas offers a number of benefits over other conventional methods of fusing the metals using simple arc welding procedures. A few benefits of this welding method include improved tensile strength, finer grain hardness, excellent weld quality and appearance, microstructure improvement, and metallurgical properties over the source metal. In order to shed light on those sectors that have not yet realised their full potential, the primary objective of this research is to assess current advances in the TIG welding business. Thus, based on tests, parameters, and the kinds of materials used for welding, numerous TIG welding tales are compiled and investigated in this study article. The bulk of the mentioned studies state that the main parameter among them was found to be current, however gas flow rate and angle of weld utilising modern techniques have not been used up to that point. Based on the study, some recommendations for the manufacturing sectors are included below, which might be useful for future industrial applications.
Eternal Blue Vulnerability
Authors: Gupta Manoj R.
Published: June 2023

Abstract: Many organizations have experienced the damage caused by cyberattacks exploiting Windows vulnerabilities. For operational reasons, the parameters of Windows are still used, especially in the enterprise management system (ICS). In this case, attackers can torture them to spread the disease. Specifically, the vulnerability in MS17-010 was used in attacks to spread malware such as WannaCry ransomware and other malware. Many systems for example, electronic newspapers, payment centres and car manufacturers are used around the world and there is a security vulnerability in Windows that causes serious problems. Since tools like Eternal Blue or Eternal Romance are published on the internet, attackers can easily exploit these vulnerabilities. This tool attacks legitimate processes running on Windows systems. It can be difficult for employees to see the signs of a struggle. Attacks can be mitigated using security updates; however, security updates are sometimes difficult to implement due to their long lifetime and stringent requirements. There are many ways to identify attacks that cause vulnerabilities, such as intrusion detection systems (IDS), but they are sometimes difficult to use because they require prior service. In this research, we propose a method to identify the attack that exploited the vulnerability in MS17-010 by analysing Windows built-in event Logs. This method can detect attacks against almost all supported versions of Windows. It can also be easily integrated into the production environment as it only uses the standard Windows operating system.
IOT Dashboard and Automation
Authors: K Malathesh , Nikkam Pushpalatha S. , Pujari Jagadeesh D.
Published: June 2023

Abstract: A IOT dashboard is an application that is used for retrieving real-time data from different sensors and visualizing data through different graphical and interactive techniques, and also to act on data storage and IOT devices. This paper discusses about the tool we developed followed by description of tabs/section in the dashboard.
Examining Advantages, Reasons, and Issues of Ordering Online Food through Mobile Application
Authors: Rajvanshi Sushant
Published: June 2023

Abstract: Online Food delivery refers to the process when different restaurants, cafes, and food outlets deliver food or drinks to the customers according to their order placed by any mode to meet the exact demand and provide customer satisfaction and service of the best quality. Most people use their mobile phones to do the process; However, there are many advantages of ordering food through mobile-based apps; what are the reasons behind it, and what possible issues do customers face while ordering food online? This paper will provide information on those factors and discuss the most significant reasons, how those issues can be solved, what advantages customers get which motivate them to go online Food ordering instead of going out, and how Covid-19 impacted the online food ordering Industry. In the times of Covid-19, Online food ordering helped in different ways when people were not in a condition to cook food on their own and could not go out of the house to protect everyone.
An Analysis of Warehouse Management Systems
Authors: Rana Akash
Published: June 2023

Abstract: Warehouse management systems (WMS) are software applications that enable businesses to manage and control warehouse operations, including inventory management, order processing, and transportation management. This research paper provides an analysis of warehouse management systems, highlighting the benefits they offer, the challenges associated with their implementation, and the best practices for efficient and effective use. Warehouse Management Systems (WMS) are an integral part of modern-day warehousing operations. This literature review provides an overview of the current trends, challenges, and opportunities in the WMS field. The review identifies key areas of development, including the impact of Industry 4.0 on warehouse operations, the use of artificial intelligence and machine learning in WMS, and the adoption of cloud-based WMS solutions. The review also highlights challenges associated with WMS implementation, including the need for skilled personnel, data security, and system integration. Finally, the review identifies opportunities for future research, including the development of predictive analytics, the use of blockchain in WMS, and the implementation of robotic process automation.
Stock Price Prediction Using LSTM and GRU
Authors: Khodke Yash , Deshpande Sonali
Published: June 2023

Abstract: Because the stock market is a very complicated nonlinear movement system whose fluctuation law is influenced by a wide range of factors, forecasting the stock price index is challenging. Numerous examples show how neural network algorithms can accurately forecast time series and frequently produce results that are adequate. The two stocks' short-term closing values were predicted using a Regularised GRULSTM neural network model that we created in this paper based on existing models. Experiments show that our suggested model predicts stock time series better than the existing GRU and LSTM network models.
Electronic Component Identification using Voice Recognition
Authors: Nadeem MD. , Akshay G. Rohith , Rani Usha , Bhutada Sunil
Published: June 2023

Abstract: Any fundamental discrete device or physical object in an electronic system that affects electrons or the fields around them is referred to as an electronic component. Electrical elements, which are conceptual, should not be confused with electronic components, the majority of which are industrial goods that are only available in a single form. Abstractions used to represent idealised electronic parts and components. There are numerous electrical terminals or leads on electronic components. To build an electronic circuit with a specific purpose (such as an amplifier, radio receiver, or oscillator), these leads link to other electrical components, frequently by wire. Basic electronic components can be integrated inside of discrete packages like semiconductor integrated circuits, hybrid integrated circuits, or thick film devices, as well as arrays or networks of similar components. The list of electrical components that follows concentrates on their discrete form and treats such bundles as independent components
Digitalisasi ajaran Ki-Hadjar-Dewantara pada proses pembelajaran neo-guided inquiry untuk mengembangkan literasi dan numerasi mahasiswa
Authors: Faisal Vava Imam Agus , Adi Nugroho Prasetya
Published: June 2023

The demands of the digital era produce students who are digital netive and tend to be anti-social in learning, so there is a need for learning that is humanistic and characterizes Indonesia. The purpose of this research is to find out how to digitize the application of the teachings of Ki-Hadjar-Dewantara in the Neo-Guided Inquiry learning process to develop ideal student literacy and numeracy skills. This research is a classroom action research that adopts the McKernan model that combines quantitative and qualitative methods. Quantitative methods use questionnaires to measure the achievement of learning indicators, self-assessment to see the level of success in applying learning, and assessment sheets to see the results of forming students' literacy and numeracy abilities. Qualitative methods using observation sheets to explore empirically the problems that arise, the process of implementing and evaluating Neo-Guided Inquiry learning. Focus group discussion to collect data on problem description, needs assessment and learning evaluation. The average result of assessing students' literacy and numeracy abilities in the second cycle was 86.4 which was classified as very high, and the practicality level of the self-assessment results of 95.75% was included in the very good category, so that its application was declared very successful.
Students’ Cognitive Engagement and Academic Performance in A Flipped Classroom Model in Outstanding Class Program
Authors: Ammade Salasiah , Rahman Ali Wira , Nurhasanah Nurhasanah
Published: June 2023

Technology integration has begun to stir the education world particularly when COVID-19 hits the world. One of the popular learning modes during this unstable situation is flipped classroom in which class material is sent earlier to students via communication tools like WhatsApp or Telegram and will be discussed more in an online or offline class meeting. However, the implementation of this learning mode still lacks of research in terms of cognitive engagement and academic performance. In light of this issue, this study aims to research deeply the impact of the flipped classroom on students’ cognitive engagement and their academic performance in learning English particularly writing descriptive text in an outstanding class program. The subject in this research was 18 students of an outstanding class program in a private school in eastern region of Indonesia. Students learning results, observation and questionnaire were used to gather the data needed and then analyzed quantitatively. The findings showed students’ cognitive engagement needs to be encouraged to make them more active and enthusiastic to participate in the learning process. Whilst, the learning result revealed a slight improvement. In conclusion, flipped classroom in an outstanding class program may work well if it is implemented actively by all parties like teachers, students, and parents. We, therefore recommended doing further research on the issue of flipped classroom and learning achievement to enrich the world of education research.
Reading Cosmology in Establishment of The Noble Settlement in Puyung Village, Central Lombok District
Authors: Wardi Liza Hani Saroya , Fadjri Muhammad
Published: June 2023

This paper is intended to explain the reading of cosmological concepts set as the foundation of dwelling in Puyung village, Central Lombok. The questions answered and explained are about who the Puyung really are. What is the universe and how do Puyung people see it? And, how do their knowledges of the universe applied in constructing and organize their environment. In answering those questions, cosmological concepts were reviewed. Historical reference related to their ancestors was used to find out who the Puyung people really were in the larger context of Sasak People. The research method used is the historical method consisting of heuristics, source criticism, interpretation and historiography. Whereas in reading cosmology using hermeneutic and semiotic methods, in addition to using descriptive methods in analyzing in order to find cosmological connectedness with their settlements which make the concept in the formation of their own settlements while collecting data using observation and in-depth interviews with local communities.