bluuebunny/crossref_metadata_2025 huggingface dataset:
COVID-19 Predictions Using Regression Growth Model in Ireland and Israel
Authors: Raza Wasim , Adzkiya Dieky , Subchan Subchan , Mehmood Saba
Published: November 2022

The World Health Organization (WHO) asserted the recently discovered severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19, a pandemic on March 11, 2020. Since the genesis and growth mechanisms of this virus are unclear and impossible to detect, there are still many uncertainties concerning it and no vaccination or effective treatment. The main goal is to halt its global spread. This paper employed a regression growth model with an extended Weibull function on the dynamics of COVID-19 to make predictions about its spread. Our findings demonstrate the viability of using this model to forecast the spread of the virus. Using a logistic growth regression model, the note tabulates the COVID-19-related final epidemic sizes for a few sites, including Ireland and Israel.
Tourism Development Priorities in Lombok Eastern with Analytical Hierarchy Process
Authors: Kurniawan Rinaldi , Kencana Eka N. , Gandhiadi G. K.
Published: November 2022

East Lombok is a regency that has tourism potential to be developed. In accelerating the pace of tourism development in East Lombok Regency, a decision support system is needed to make it easier to determine development priorities in the tourist sector. Analytical Hierarcy Process is a decision-making method that can solve the problem of multicriteria in the aspect of tourism in East Lombok. The data used are 50 data by prioritizing the opinions of experts and policy makers, namely the East Lombok Tourism Office, Head of tourism awareness groups and people involved in the tourism sector. The results showed that the value of index consistency was below 10% for each indicator and subindicator with infrastructure indicators as the highest priority with a value of 29.4545% and the highest subindicator was accessibility with a value of 17.8381%. The result of the calculation are expected to help policy makers in determining the strategy in the development of the tourism sector in Eaast Lombok district and in the future it can be developed by considering other factors.
Laminar Viscous Fluid Flow with Micro-rotation Capabilities through Cylindrical Surface
Authors: Norasia Yolanda , Tafrikan Mohamad , Ghani Mohammad
Published: November 2022

Viscous fluid can micro-rotate due to collisions between particles that affect viscous fluid's velocity and temperature.This study aims to determine the effect of viscosity parameters, micro-rotation materials, and heat sources on fluid velocity and temperature. The model of the laminar flow equation for viscous fluid in this study uses the laws of physics, namely, the law of conservation of mass, Newton II, and Thermodynamics I. The formed dimensional equations are converted into non-dimensional equations by using non-dimensional variables. Then, the non-dimensional equations are converted into similarity equations using stream function and similarity variables. The formed similarity equation was solved numerically by using the Gauss-Seidel method. The results of this study indicate that the velocity and temperature of the viscous fluid flow can be influenced by the parameters of viscosity, micro-rotation material, and heat source. The presence of collisions between particles causes heat to cause an increase in the variance of viscosity parameters, micro-rotation materials, and heat sources. Therefore, the viscous fluid's velocity decreases and its temperature increases.
Impact of Unprepared Competence and Difficulty in Competence of Mathematics Teachers During Online Learning
Authors: Lumbantoruan Jitu Halomoan , Male Hendrikus
Published: November 2022

The purpose of this study was to determine the form of teacher readiness and difficulty when implementing the mathematics curriculum in high school, measured from four teacher competency assessments. Schools in Indonesia are still 50% learning from home until 2022, this situation has an impact on the achievement of student learning outcomes. In 2020, the ministry conducted a survey of 4000 students and the results of the survey and out of 100% of the participants, 58% were of the opinion that online learning was ineffective, 38% lacked attention from the teacher, 35% had poor communication, 62% had poor internet access, and 80% had difficulty learning mathematics online. The method in this research is descriptive qualitative. The technique of collecting data is by means of field observations, interviews and collecting documentary evidence. Data analysis techniques by presenting data, data reduction and intersecting data are drawn into conclusions. The number of people who were observed was 2 with a total of 58 and 13 people interviewed sources. Findings, difficulties arise from unprepared pedagogic competence and professional competence. Teachers have no self-constructed modules, difficulty writing symbols and mathematical proofs online. Students provide an assessment of teacher competence online, from 100% of respondents 80% disagree with pedagogic and 90% disagree with professional competence. This is due to the lack of readiness of the two competencies. In conclusion, online learning is expected by students and teachers to have their own modules. Students argue that the teacher's difficulties when writing symbols, providing examples of questions and proving mathematical formulas can be written in modules and modules can be given to students to study at home.
Reflective Thinking Profile of High School Students in Solving Hots-Type Questions Reviewed from Adversity Quotient
Authors: Sumardi Sumardi , Tyas Anggit Cahyaning
Published: November 2022

The many Adversity Quotient kinds that each individual possesses will have an impact on how they respond to addressing difficulties. The person's efforts to tackle the current difficulties get more difficult as their degree of Adversity Quotient rises.This study's purpose is to describe students' reflective thinking profile in solving HOTS-type questions in terms of level adversity quotient. The subjects of this study, namely three students from class X of senior high school, were taken based on the Adversity Responses Profile (ARP) questionnaire results. The data collection techniques carried out by this study include analysis of test answer results and in-depth interviews. In addition, source triangulation is used for the validity of the data. Data analysis is carried out through five stages: data collection, data reduction, data presentation, data verification, and conclusions. The data table is obtained from the results of the analysis of the answers to the three questions presented in the form of tables based on the components of reflective thinking and problem-solving steps. The research results in this article are three, (1) the reflective thinking profile of students in solving HOTS-type questions can meet the components of reflective thinking and go through the steps of problem-solving Polya: analysis, plan, implement, and evaluation; (2) the reflective thinking profile of students in solving HOTS-type questions cannot meet all the components of reflective thinking, namely the comparing component and through the steps of problem-solving Polya: analysis, plan, implementation, and evaluation. However, at the step of the problem-solving plan, there is one plan that is not by mathematical concepts; and (3) the reflective thinking profile of quitter students in solving HOTS-type problems cannot meet all the components of reflective thinking, namely the contemplating component and not going through all the steps of problem-solving, namely the step of implementing the plan and evaluation. The three types of adversity questions have different reflective thinking profiles according to the criteria of each type.
Pattern Generation for Three Dimensional Cutting Stock Problem
Authors: Atika Mutia , Silalahi Bib Paruhum , Bukhari Fahren
Published: November 2022

We consider the problem of three-dimensional cutting of a large block that is to be cut into some small block pieces, each with a specific size and request. Pattern generation is an algorithm that has been used to determine cutting patterns in one-dimensional and two-dimensional problems. The purpose of this study is to modify the pattern generation algorithm so that it can be used in three-dimensional problems, and can determine the cutting pattern with the minimum possible cutting residue. The large block will be cut based on the length, width, and height. The rest of the cuts will be cut back if possible to minimize the rest. For three-dimensional problems, we consider the variant in which orthogonal rotation is allowed. By allowing the remainder of the initial cut to be rotated, the dimensions will have six permutations. The result of the calculation using the pattern generation algorithm for three-dimensional problems is that all possible cutting patterns are obtained but there are repetitive patterns because they suggest the same number of cuts.
Metode Pengumpulan Data Pada Deteksi Pakaian Hijab Syar'I Berdasarkan Citra Digital Menggunakan Teachable machine Learning
Authors: Fajri Fathorazi Nur , Malik Kamil , Pratamasunu Gulpi Qorik Oktagalu
Published: November 2022

Abstract:  Computer vision is a branch of artificial intelligence that uses digital images as input data. The stages of making computer vision are data collection, preprocessing, modeling, and testing. Test results are usually influenced by good modeling and data collection. Errors often occur in the data collection process so that data collection testing is needed before the modeling process using matlab or python. Therefore, this research aims to propose a data collection model with testing using a teachable machine. The datasets used are hijab syar'i, non syar'i and non hijab datasets because hijab is a trend among young people. However, many young people are not good at using their hijab in the pesantren area. So that the classification process is needed as a form of order in the pesantren. Datasets are obtained using web scraping methods on internet platforms such as pinterest, google image and instagram. The total dataset is 2,910 digital images of each class is 970.  Teachable machine can validate the dataset quickly by looking at the accuracy per class. With the best model in the configuration of epoch 50, batch size 64 and learning rate 0.0001. Where the accuracy of each class using teachable is hijab syar'i by 99%, non syar'i by 94% and non hijab 99% with a test sample of 146 digital images each.Abstrak: Visi Komputer merupakan cabang kecerdasan buatan yang menggunakan citra digital sebagai input data. Adapun tahapan pembuatan visi komputer ialah pengumpulan data, preprocessing, pembuatan model, dan pengujian. Hasil pengujian biasanya dipengaruhi oleh pembuatan model dan pengumpulan data yang baik. Kesalahan sering terjadi pada proses pengumpulan data sehingga dibutuhkan pengujian pengumpulan data sebelum proses pembuatan model dengan menggunakan matlab atau python. Oleh karenanya pada penelitian ini bertujuan untuk mengusulkan model pengumpulan data dengan pengujian menggunakan teachable machine. Adapun dataset yang digunakan ialah dataset hijab syar'i, non syar'i dan non hijab dikarenakan hijab menjadi trend dikalangan anak muda. Akan tetapi banyak anak muda yang belum baik penggunaan hijabnya diarea pesantren. Sehingga diperlukan proses klasifikasi sebagai bentuk ketertiban didalam pesantren. Dataset didapat dengan menggunakan metode web scraping pada platform internet seperti pinterest, google image dan instagram. Total dataset ialah 2,910 citra digital masing masing class ialah 970.  Teachable machine dapat melakukan validasi dataset secara cepat dengan melihat akurasi per class. Dengan model terbaik pada konfigurasi epoch 50, batch size 64 dan learning rate 0.0001. Dimana Akurasi setiap class menggunakan teachable yaitu hijab syar'i sebesar 99%, non syar'i sebesar 94% dan non hijab 99% dengan sampel uji masing masing 146 citra digital.
Kendala Pendidik Matematika dalam Melaksanakan Pembelajaran Online Dimasa Pandemi COVID-19 di Papua Barat
Authors: Kholifah Anisa Nur , Siregar Nahrun Najib , Wyrasti Andi Fajeriani
Published: November 2022

Abstract:  The purpose of this study is to find out what are the obstacles for mathematics educators in implementing distance learning during the COVID-19 pandemic. The method used in this study is a qualitative method using descriptive techniques. The research subjects in this study were mathematics educators at YAPIS Manokwari High School. Based on the results of the interview, the results of this study indicate that there are several obstacles in the implementation of distance learning. Constraints experienced in learning include human constraints where teachers are still not optimally using the applications used for the learning process. Some teachers are not proficient in using applications as a medium for learning.Abstrak: Tujuan penelitian ini adalah untuk mengetahui apa saja kendala pendidik matematika dalam melaksanakan pembelajaran jarak jauh dimasa pandemi COVID-19. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan menggunakan teknik deskriptif. Subjek penelitian pada penelitian ini adalah pendidik matematika di SMA YAPIS Manokwari. Berdasarkan hasil wawancara, hasil penelitian ini menunjukkan bahwa ada beberapa yang menjadi kendala dalam pelaksanaan pembelajaran jarak jauh. Kendala yang dialami dalam pembelajaran meliputi kendala manusiawi dimana guru masih belum secara maksimal menggunakan aplikasi yang digunakan untuk proses pembelajaran. Ada beberapa guru yang belum mahir dalam penggunaan aplikasi sebagai media untuk pembelajaran.
ESL Students’ Learning Strategies for the Improvement of their Language Skills
Authors: Irwandi Irwandi , Hudri Muhammad , Apriana Dina
Published: November 2022

Effective language strategies contribute to learners’ success in learning English. In relation to this, this study aims at investigating ESL students’ strategies in learning a language. Those strategies are metacognitive strategies, deep cognitive strategies, and surface cognitive strategies. 50 English department students participated in a survey that required them to reflect on their own learning strategies for the four language skills by answering 80 questions. The result of the study suggests that the metacognitive strategies are the most highly used to improve their language skills compared to the deep cognitive and surface cognitive strategies that are moderately used. The data also showed those strategies are widely used in written texts insteadof spoken texts.
POLITENESS AND IMPOLITENESS STRATEGIES USED IN THE “SLEEPING BEAUTY” MOVIE
Authors: Juliani Wahyuni , Dara Emeliya Sukma , Afiqah Filza , Wahyuni Sri
Published: November 2022

This research aims to analyze the politeness and impoliteness strategies in The Sleeping Beauty Movie. This research used qualitative method by selecting and collecting data in the Sleeping Beauty movie. After selecting and collecting the data, the researchers identify and analyze word by word conversation among characters and used the concept of Brown and Levinson, Geoffrey Leech, and Bousfield and Locher related to pragmatics study. The result shows that there are 19 examples of politeness strategies, politeness maxims and impoliteness strategies. They are 4 examples of politeness strategies, 8 examples of politeness maxims, 7 examples of impoliteness strategies. The researchers concludes that the positive and impoliteness strategies in the Sleeping Beauty Movie is dominated by positive impoliteness and approbation maxim.Keywords: Impoliteness, Politeness, Pragmatics, Sleeping Beauty Movie, Strategies
Needs Analysis of English for Fine Arts Study Program Students as a Basis to Design English Teaching Materials
Authors: Sukarni Sri , Imansyah Imansyah
Published: November 2022

This research aimed to find out English teaching materials need of Fine Art study program students in learning English. The quantitative method was conducted in this research. In collecting the data, the researchers applied questionnaires for the students as the instrument of the research. There were 16 students of Fine Arts study program in the 2021-2022 academic year as the participants in this research. The results of this research revealed that in learning English students of Fine Arts study program need all language skills and the mostly needed language skill is speaking. They need speaking because will support their future career as artisan art working in English. Regarding language components, mainly required by the students is vocabulary. In addition, teaching materials related to fine arts are needed by the students, as well the teaching materials are taken from internet. Furthermore, pertaining to the objective of learning English that is to be able to communicate in English, the students need discussion before beginning to learn English course. This method can support students’ need in speaking skill. These students’ needs can be used as the basis to design English teaching materials..
Correlation Between Speaking Strategies of EFL Undergraduates and Their Thinking Styles
Authors: Mumpuni Mutiara Maharsi
Published: November 2022

The present study was conducted to analyze the correlation between speaking strategies of EFL undergraduates and their thinking styles. The researcher used chi-square test analysis which 47 sophomore students (34 female and 13 male) in the English department at the state university of Surabaya. In collecting the data, this study used two adopted questionnaires that was developed from Oxford’s LLS speaking 20 items (1990) and Sternberg and Wagner’s (1992) TSI 65 items included among the side of background information on their gender. As concerns on the analysis, this study found that there were no significant correlation between the speaking strategies of EFL undergraduates and their gender (X2= 1.736), the thinking styles of EFL undergraduates and their gender (X2= 1.043), speaking strategies and thinking styles of EFL undergraduates and their gender (X2= 2.839).
Set-generated soft subrings of rings
Authors: ATAGÜN Akın Osman , KAMACI Hüseyin
Published: November 2022

This paper focuses on the set-oriented operations and set-oriented algebraic structures of soft sets. Relatedly, in this paper, firstly some essential properties of $\alpha$-intersection of soft set are investigated, where $\alpha$ is a non-empty subset of the universal set. Later, by using $\alpha$-intersection of soft set, the notion of set-generated soft subring of a ring is introduced. The generators of soft intersections and products of soft subrings are given. Some related properties about generators of soft subrings are investigated and illustrated by several examples.
Spectral singularities of an impulsive Sturm-Liouville operators
Authors: ÖZNUR Güler Başak
Published: November 2022

In this paper, we handle an impulsive Sturm–Liouville equation with complex potential on the semi axis. The objective of this work is to examine some spectral properties of this impulsive Sturm–Liouville equation. By the help of a transfer matrix B, we obtain Jost solution of this problem. Furthermore, using Jost solution, we find Green function and resolvent operator of this equation. Finally, we consider two unperturbated impulsive Sturm–Liouville operators. We examine the eigenvalues and spectral singularities of these problems.
Approximation properties of Bernstein singular integrals in variable exponent Lebesgue spaces on the real axis
Authors: AKGÜN Ramazan
Published: November 2022

In generalized Lebesgue spaces $L^{p(.)}$ with variable exponent $p(.)$ defined on the real axis, we obtain several inequalities of approximation by integral functions of finite degree. Approximation properties of Bernstein singular integrals in these spaces are obtained. Estimates of simultaneous approximation by integral functions of finite degree in $L^{p(.)}$ are proved.
Some results on pseudosymmetric normal paracontact metric manifolds
Authors: ATÇEKEN Mehmet , MERT Tuğba
Published: November 2022

TIn this article, the M-projective and Weyl curvature tensors on a normal paracontact metric manifold are discussed. For normal paracontact metric manifolds, pseudosymmetric cases are investigated and some interesting results are obtained. We show that a semisymmetric normal paracontact manifold is of constant sectional curvature. We also obtain that a pseudosymmetric normal paracontact metric manifold is an $\eta$-Einstein manifold. Finally, we support our topic with an example.
Stochastic integration with respect to a cylindrical special semi martingale
Authors: HASHEMİ SABABE Saeed
Published: November 2022

In this research, we introduce the stochastic integration with respect to a cylindrical special semi-martingale, which is a specific case of general integration, with specific properties of special semi-martingales.
The Problem of the Church’s Attitude to the Fall of the Autocracy in the Soviet Historiography: a Conflict of Approaches
Authors: Исломов Акмаль Кобилович
Published: November 2022

В данной статье рассматривается отражение проблемы отношения Русской Православной Церкви к падению в России царского самодержавия в советской историографии. В трудах авторов советской эпохи можно выделить три точки зрения: отношение отрицательное, отношение положительное и «приспособленчество» как основная характеристика реакции Церкви на происходящие в феврале 1917 года события. Прослеживается зависимость исследовательских выводов автора от такого факта его биографии как наличие высшего образования, в особенности - профессионального исторического. Отмечаются взаимосвязи в рецепции Православия и различных сектантских учений ведущими советскими атеистическими пропагандистами. Автор статьи, показывает актуальность данной проблемы в определении влияния биографического фактора на степень исторической объективности её исследователей.

This article discusses the reflection of the problem of the Russian Orthodox Church’s attitude to the fall of the tsarist autocracy in Russia in the Soviet historiography. In Soviet era authors’ writings three points of view can be distinguished: a negative attitude, a positive attitude, and "opportunism" as the main characteristic of the Church's reaction to the events taking place in February 1917. The dependence of the author's research conclusions on such a fact of his biography as the presence of a higher education, especially of a professional historical one, is traced. Relationships in the reception of Orthodoxy and of various sectarian doctrines by the leading Soviet atheistic propagandists are noted. The author shows the relevance of this problem in determining a biographical factor’s influence on the degree of historical objectivity of its researchers.
Корпоративна соціальна відповідальність в Україні: сучасні тренди у вищій школі
Authors: Лисоконь Ілля Олександрович
Published: November 2022

У даній статті визначено провідні українські виші, які активно займаються впровадженням корпоративної соціальної відповідальності у системі вищої освіти. На прикладу Криворізького державного педагогічного університету актуалізовано основні напрями та структури для реалізації соціальної місії університету. Встановлено взаємозв’язок між закладом вищої освіти, бізнес-сектором, освітніми інвестиціями і корпоративною соціальною відповідальністю щодо реалізації соціальної стратегії закладу вищої освіти і її поєднання із провідними європейськими практиками.
China’s Belt and Road Initiative in the Sino-US strategic rivalry: Implications and the main US response
Authors: Cheng Guo
Published: November 2022

The Sino-US relations have faced an unprecedented challenge and deteriorated to the lowest point in 4 decades during the Trump presidency. The ongoing Sino-US strategic rivalry led to the speculation that the two giants would head into the “New Cold War”. China’s Belt and Road Initiative (BRI) also becomes a main target of this strategic rivalry. This article offers the strategic analysis of China’s BRI from the US perspective at different levels, focusing on the changing role of BRI and its implications among US think tanks during the Trump presidency. It also provides the policy recommendations from the US think tanks in responding the BRI challenge, emphasizing the Indo-Pacific strategy as the main counter-strategy towards the BRI, and finally reviewed both the Trump Administration’s and the Biden Administration’s main efforts in countering the BRI.
The Biden Administration focuses on countering China as its foreign policy priority, particularly countering China’s BRI through variety of means as diplomatic coordination, democratic values, and the global infrastructure alternative made by the US-led Collective West. Thus, China’s BRI will be the major target in the US China policy-making in the long run.
Kenya’s digital innovation ecosystem development
Authors: Kalinichenko Liudmila N.
Published: November 2022

The article analyzes the features of Kenya’s economy transformation characterized not so much by the industrial sector development, but the growth of the service sphere associated with the introduction of digital technologies, which determines the creation of new direct and indirect jobs and professions. Kenya has created one of the largest and fastest growing technological ecosystems in Africa. It was due to several factors, such as the emergence of Internet service providers in the early 1990s, the network building for mutual traffic exchange in the early 2000s, the launch of the M-Pesa mobile payment platform in 2007, the laying of submarine cables in 2009 and the formation of a technology cluster in Nairobi. E-business is becoming more widespread in the country, including financial technologies, banking, e-commerce, logistics services, the usage of digital automated technologies for industry, agriculture, healthcare, and education. Digital innovation is driving productivity gains in key sectors of the economy.
The creation of adequate ICT infrastructure and access to Fiber Optic Broadband infrastructure for all the citizens, including low-income population, are the base for Kenya’s digital transformation. It is a key enabler in delivering Kenya’s Vision 2030 flagship project. The expanding of mobile broadband technologies 3G/4G/5G is vital for socio-economic growth. Some new technologies, which oriented at the conditions of developing countries, are used for increasing digital integration: BRCK that assures consistent internet access even in the very remote areas and new technology of wireless internet on the base of light beam. The very important problem is the creation of qualified specialists for digital economy.
Ivan Bunin’s Early Lyrical Poetry: Sources and Influences
Authors: Dvinyatina T.
Published: November 2022

This article traces the connection between Ivan Bunin’s early poetry and the Russian poetic tradition of the 19th century. Considering this topic has become particularly relevant at a time when the first critical edition of Bunin’s complete works and letters is under preparation at the Institute of World Literature of the Russian Academy of Sciences. The purpose of the present article is to trace the general direction and pattern of influence on the young poet of the Russian classical tradition (Pushkin, Lermontov, Fet, Tiutchev, Koltsov, Nadson, Pleshcheev, Yakov Polonsky, Apollon Maikov, Apollon Grigorjev, Baratynsky, Nekrasov, K.R. and others) and to relate them to Bunin’s views on poetry as they formed in the 1880s–1890s. The goal of future investigations will be to annotate the critical edition with concrete examples of this influence, not only by the widely-recognized and retrospectively canonized classics, but also by the popular poetry in magazines of the mid-late 19th century, which formed an organic part of the young Bunin’s reading and literary education.
Influence of a 12-Month Structured Exercise Program on the Micronutrient-Cognitive Fitness-Physical Association Profiles in Mild Cognitive Impairment
Authors: Weigert Hannah , Stuckenschneider Tim , Pickert Lena , Rossi Andrea , Meyer Anna M. , Nelles Gereon , Schulz Ralf-Joachim , Stahl Wilhelm , Schneider Stefan , Polidori M. Cristina ,   on behalf of the NeuroExercise Study Group
Published: November 2022

Background:

Preventive lifestyle strategies have shown promise to slow down or prevent age-related cognitive decline. However, evidence on the reciprocal longitudinal relationships between nutrition biomarkers and cognitive and physical performance is lacking. Studying nutritional, cognitive, and physical profiles over time may help to overcome this knowledge gap.

Objective:

To investigate the relationship of plasma levels of the robust nutritional- and antioxidant defense-related biomarkers carotenoids and tocopherols with both indicators of cognitive and physical performance in persons with mild cognitive impairment (MCI) participating in a structured exercise program.

Methods:

Data from 40 participants with MCI of the NeuroExercise study were analyzed. Participants had undergone a blood withdrawal for the analysis of plasma concentrations of six carotenoids, two tocopherols and retinol prior to and after one-year of structured exercise. All participants had undergone a broad spectrum of cognitive and physical performance tests.

Results:

Significant associations between lipophilic micronutrients and cognitive/physical measures were observed that were previously found to play a role in cognitive and physical frailty. In particular, lutein, zeaxanthin, and lycopene are confirmed as robust, reliable, and stable indicators of nutritional defense. Importantly, these micronutrients were associated with cognitive measures prior to the physical training program and to a more prominent extent with indicators of motoric function after the physical exercise program.

Conclusion:

Specific profiles of lipophilic micronutrients are associated to cognitive performance measures and, especially after a structured exercise program, to indicators of physical performance.
Implementing Smart Manufacturing Technology into the Textile Industry
Authors: O’Dubhthaigh Daire , Borchers Marlies , Jin Yan , Maropoulos Paul
Published: November 2022

The growing customer demand for small batch-size and customised products is putting pressure on manufacturers to adapt their current processes that were originally designed for large batch size orders. Smart manufacturing technology can be utilised to create new, effective, and sustainable processes. Many industries are still conservative when it comes to embracing smart manufacturing technologies including the textile industry. This paper demonstrates the implementation of smart technology to create a new “made to customisation” process in a textile factory. The case study involves upgrading a standard machine to a “smart” machine and utilising RFID technology to track and trace materials after they get prepared for a work order. The paper also presents a guide on how to effectively approach the implementation of smart technology in the manufacturing environment.
User-Centred Human-Robot Collaborative Handling of Small Parts in a MIM Process
Authors: Kildal Johan , Molina Jorge , Andrés Unai
Published: November 2022

Collaborative technologies can help improve work conditions for operators with any profile, in demanding production tasks. This paper presents an intervention in an intermediate stage of a Metal Injection Molding (MIM) manufacturing process with poor ergonomics, both physical and stress-related, due to sustained visual attention demands. A collaborative workstation was designed and implemented, integrating a collaborative robot and a machine-vision system for bin-picking. The strategy of the intervention was to distribute tasks between worker and robot, where the robot undertook the non-ergonomic task of arranging small pieces close together on a plate, forming a pre-established pattern. Tests with a first implementation suggest that the task-sharing intervention for the manipulation of small MIM-produced references is viable. Careful design of robot fingers is key for the manipulation of such parts, and ambiguous piece configurations require fine tuning of visual piece identification systems, for error-free execution.
A Comparison of the Effects of Stress Concentrations in Laser-Cut PMMA Under Static and Centripetal Loading
Authors: Benham Robert , Rehman Fayyaz
Published: November 2022

A number of studies have looked how resultant stress concentrations in designs can have a detrimental effect on finished parts. Recently student projects at Solent University experienced issues with uncertainty in stress concentrations from laser cutting of polymeric materials. This study looks at conventional tensile testing to evaluate PMMA (acrylic) subjected to tensile testing, varying the presence of fillet radii on section changes, and compare the findings to finite element analysis (FEA) models. In addition, parts are tested under centripetal loading to compare the effects of stress concentrations when a component is subjected to centripetal force and angular acceleration, in the form of a horizontal fan blade. The centripetal testing will avoid the effects of impulse on specimens but allow comparisons to be drawn between physical testing (with limited controlled variables) using a motor hub and FEA results. The findings will be used in teaching undergraduates and also help with future student projects.
Modeling Simulation and Characterization of Hybrid Energy Harvester for Structural Health Monitoring Systems of Bridges
Authors: Gul Waheed , Tahir Sulaiman , Razzaq Saqlain
Published: November 2022

From last few decades’ piezoelectric materials are widely used in the field of structural health monitoring because of its ability for voltage dependent actuation. This paper presents the analytical modeling and simulation of a hybrid (electromagnetic and piezoelectric) energy harvester (having nonlinear behavior) that generates power from vibrations of bridges for structure health monitoring systems. The modeled hybrid energy harvester is comprised of two beams and two tip masses attached to the ends of both beams. Beam 1 consists of a piezoelectric layer and a substrate layer while beam 2 contains a coil and permanent magnet. The two beams are assembled with a specific L shaped Geometry. Base excitations are provided in the transverse direction of the first beam of the harvester. The L-shape structure is modeled as a continuous system rather than a lumped-mass system to investigate the dynamic behavior of the structure in a more sophisticated manner. The simulation is performed for both parallel and series combinations of piezoelectric layers. In the case of a parallel combination of piezoelectric layers, maximum voltage of 1.66 V is obtained at 0.2g acceleration level and resonance, while the corresponding power is 65.61 µW is produced. However, in the case of series combination simulation shows the production of the maximum voltage of 1.95 V and the corresponding power of 90.54 µW at 0.2g acceleration level.
Implementing Pull Manufacturing in Make-To-Order Environments
Authors: Almanei Mohammed , Oleghe Omogbai , Afy-Shararah Mohamed , Salonitis Konstantinos
Published: November 2022

The demand for increasing product variety and customization has forced many companies to adopt a make-to-order (MTO) strategy. Traditional push-type MTO companies suffer from unstable demands, struggling to deliver on time, making them consider the utilization of pull systems to control production. In the present paper, an overview of pull systems in MTO environments is presented. Moreover, a discrete event simulation (DES) model of an MTO company in the printing and packaging industrial sector was developed and validated, in order to identify areas for improvement. DES was also used in order to evaluate the feasibility of implementing three types of pull systems: kanban, CONstant-Work-In-Process (CONWIP) and Paired Overlapping Loops of Cards with Authorizations (POLCA). The main performance indicators measured were the average WIP and the average throughput time of parts. The key findings of this project for the case study were: a) kanban is inapplicable for the current routing of parts; b) a CONWIP strategy improves the shop floor performance, but only when extra capacity is added to the extrusion workstation; c) production based on POLCA leads to the blockage of the system due to the existence of multi-routes and undirected routing.
An Assessment of Environmental Related Key Performance Indicators of the Chemical Industries
Authors: Alfarsi Alaa , Jagtap Sandeep , Salonitis Konstantinos
Published: November 2022

One of the most critical issues faced by chemical industries is reducing the environmental impact caused due to pollution, which has resulted in global warming and health issues. Most chemical industries monitor and use Key Performance Indicators (KPIs) to control pollution, which is currently done by using various KPI’s that are dependent on the product they are producing. Therefore, a study is conducted using a systematic literature review (SLR) focused on articles published between 2000 and 2022 to identify and categorize various KPIs that manufacturers have used to reduce their respective pollution. The results were divided into four main categories – air, water, land, and other pollution. The results demonstrated that ethylene manufacturing industries are the major contributor to air pollution. The mining, gas, and oil industries significantly resulted in water pollution. The land and groundwater pollution were mainly due to mining industries. The other pollution was mainly due to activities such as maintenance and performance of equipment and quality of raw materials.
Circular Supply Chain: A Systematic Review
Authors: Assemlali Salwa , Sabar Mohamed
Published: November 2022

The Circular Economy has been gaining a large amount of interest in the research community especially in the past few years. Its application to the Supply Chain field is being increasingly addressed in the literature, as there are huge stakes in terms of environmental, social, and economic development. Therefore, this article provides a systematic review of circular economy publications applied to the supply chain. It aims to conceptualize the definition of the circular economy, the circular supply chain and borders with other existing concepts, to categorize main barriers to its implementation and to identify the main limitations of current research and its prospects.
Driver Drowsiness Detection System Using Machine Learning
Authors: Thakur Rahul , Shivam  , Raj Shubham , Pandey Subhanshu
Published: November 2022

Drowsy driving is one of the leading causes of traffic accidents all over the world. Driving in a monotonous manner for an extended amount of time without stopping causes tiredness and catastrophic accidents. Drowsiness has the potential to ruin many people’s lives. As a result, a real-time system that is simple to create and configure for early and accurate sleepiness detection is required. In this study, a real-time vision-based system called Driver Drowsiness Detection System has been developed utilizing machine learning. In this study, the Haar Cascade classifier was used to recognize the driver’s face characteristics and functions present in OpenCV library to detect the region of the face. The following step is to examine the open/close state of the eyes, followed by sluggishness depending on the sequence of ocular conditions. The non-intrusive and cost-effective nature of this vision-based driver tiredness detection is its distinguishing attribute.
Simulation of Compression Molding of Thermoplastics Using CAE Tools: Assessment of Operational Conditions for Mold Design Development
Authors: Pawar Annu , Purwar Roli
Published: November 2022

This study aims to develop a simulation-based research to evaluate the influence of primary operational conditions on the efficiency of compression molding in processing thermoplastic parts in a mold design with no air venting. Moldflow Insight has been used to simulate the compression molding process to assess the quality of a range of semi-crystalline and amorphous thermoplastic products, to study the performance efficiency of the said mold. Simulation results were obtained by varying the mold surface temperature, melt temperature, charge geometry and mesh element size during processing thermoplastics like polypropylene, polyethylene, polystyrene, and polycarbonate. The findings showcased air entrapment at the corners of the mold cavity, which lowered the process efficiency when the mold operated with no venting under varied processing conditions. Simulation results indicated a need to introduce air vents on the mold’s parting line. The findings revealed that the compression cycle time and waste generation could be diminished when air vents were included in the mold design and optimal operating conditions were used. Hence, a compression molding mold design incorporating air vents in areas of high air entrapment was developed.
A Future Awareness for Healthcare Applications Using Data Mining
Authors: Sree K. T. , Anil Kumar R , Rama Naidu G.
Published: November 2022

This research report showcases various data mining (DM) techniques such as Classification, Regression, and Clustering in brief and also discusses the aptest framework method for the healthcare industry, CRISP-DM. This report also explores the various data mining applications in the healthcare industry. DM is utilized to extract the data from a lot of information. DM includes two models, predictive and descriptive. Classifying data is to form classes either with the final objective of learning new antiques or searching new areas. This is why specialists have for many years tried to locate the enshrouded examples in the knowledge that can be classified and contrasted as well as other concepts which are the result of common principles.
Review on Process Parameters of FDM and Their Impact on Tensile Strength and Wear Resistance of Additive Manufacturing Specimen
Authors: Singh Aniket , Shukla Aman , Singh Aryan , Deep Singh Aman , Kumar Arora Pawan
Published: November 2022

Additive Manufacturing (AM) is an advanced manufacturing process which reduces the physical involvement of human beings for producing products. All we required is to make a three-dimensional CAD module and feed it to a three-dimensional printer. During its beginning it was just used to make a prototype, as more research has been taking place to improve its ability to make a good product due to which now it is able to produce the final product. Whenever we think about producing a product using additive manufacturing it is necessary to wisely choose the right material, right AM technique and their process parameters which fulfill the requirements. In this paper we are reviewing the process parameters of the most popularly used AM technique that is Fused Deposition Modeling (FDM) and their effect on tensile and wear strength of the printed specimen. For our study we are majorly focused on PLA and Carbon PLA as PLA is mostly use and environment friendly.
Applications of Carbon Quantum Dots in Cancer Detection and Therapy
Authors: Kaur Simran , Srivastava Anshika , Aggarwal Vidushi , Malhotra Bansi D.
Published: November 2022

Cancer is a global concern and a major cause of early deaths as well as poor lifestyles. One of the prime research areas of cancer includes nanotechnology and its applications. Many nanomaterials like carbon nanotubes, nanoshells, nanorod arrays, polymer dots, quantum dots, etc have been highlighted owing to their excellent characteristics aiding in cancer diagnostics and therapeutics. In this paper, the authors aim to highlight the application of one of such nanostructures, i.e, Carbon quantum dots (CQDs). These nanoparticles have seen widespread application in cancer due to their special optical characteristics, high quantum yield as well as good electrical properties. They also possess excellent photostability. The past few decades have seen their application in diagnostic devices, assays, biosensors, bioimaging, drug delivery, and other therapeutic applications as well. The review summarizes its remarkable characteristics and recent trends in cancer diagnostics and therapeutics. The outcome of our literature review highlights that CQDs are able to detect specific types of cancer and differentiate between normal and malignant cells, hence, making cancer diagnosis more efficient. Similarly, in cancer therapy, the excellent photoluminescence property of CQDs has been well exploited in drug delivery.
An Analysis of Advanced Technology for Fingerprint Detection System
Authors: Nandana M. D. , Ajay Sankar G. , Singh M. K.
Published: November 2022

Current research on fingerprint recognition is discussed in the following article. Focuses on earlier investigations of fingerprint recognition systems and a brief review of fingerprint recognition’s conceptual and structural frameworks are presented in this paper The fundamentals of fingerprint recognition have been explained. A pre-processing phase is used to eliminate irrelevant data and enhance the visibility of added character by employing an enhancement technique for biometric data acquisition. An additional stage extracts fingerprint features from the output of the pre-processing phase. The database template is compared to the newly obtained feature. This study aims to evaluate recent work on fingerprint recognition systems and elucidate fingerprint recognition steps gradually and present descriptions of fingerprint records with features.
Advanced Intelligent Corrosion Removal Maintenance Techniques Towards Failure Prevention and Enhanced Life of Steel Structures
Authors: Matani Ashok G. , Dusane Viraj
Published: November 2022

The various root causes of the failure occurred within the structure, the fortification on its failure, anatomy of the structural repair, the exclusive facts associated with innovative methods and protective treatment and lots of a lot of things are mentioned and presented during this project report. The target of building maintenance to form the building and their connected services are in the secure and guarded condition, to grant guarantee that the condition of building meets all legislative standards and requirement to perform the upkeep work indispensable to uphold the worth of physical assists of the building and additionally to accomplish the work essential to keep up the prevalence of the building maintenance. In a world today main problem is corrosion its losses economic and life. Corrosion can be prevented but not long time. Hence, we find out new treatment called as Sanjivani, and it is best for corrosion removal in current time comparatively other methods. Comparison analysis and test conducted result and equation and formula and whole procedure is given in our research paper. This is newly invented by us, still test going on it, it is future of maintenance repair and biggest assets war again corrosion. We have included various prevention measures and corrosion removal techniques used in industry and market currently and we have analyzed it by our point of view and given diagrammatic representation of methodology in form of flow chart and various apparatus used its benefits over existing methods advantages and old principle required for our test equation and derived our results and conclusion using standard norms.