bluuebunny/crossref_metadata_2025 huggingface dataset:
Electronic structural and lattice thermodynamic properties of MAlO2 and M5AlO4 (M=Li, Na, K) sorbents for CO2 capture applications
Authors: Duan Yuhua
Published: December 2022

The electronic properties and thermal stabilities of MAlO2 and M5AlO4 (M=Li, Na, K) are investigated by the density functional theory and lattice phonon dynamics. Based on the calculated electronic and lattice thermodynamic properties, their abilities to capture CO2 as solid sorbents are analyzed. The calculated electronic structural properties of MAlO2 and M5AlO4 indicate that all of these alkali aluminates are semiconductors with bandgap range of 2.4~6.4 eV. The 1st valence bands of these alkali aluminates are located in 0~-6 eV under Fermi levels and are mainly contributed by p orbitals of O, s and p orbitals of Al and M. The phonon vibrational frequencies of M5AlO4 spread at lower frequency range compared to their MAlO2 phases. With increasing temperature, the calculated phonon free energies of M5AlO4 decrease faster than their corresponding MAlO2 while their entropies have opposite trends. The reaction 2MAlO2 + CO2 = M2CO3 + Al2O3 has higher reaction heat and Gibbs free energy change than those of corresponding reaction 2/5M5AlO4 + CO2 = M2CO3 + 1/5Al2O3, which shows the former reaction possesses lower turnover temperature. Among these alkali aluminates studied, the β-NaAlO2, lt-KAlO2, and γ-LiAlO2 are better candidates that could be applied for CO2 capture technologies.
Study of SO 2 absorption in a spray tower using CFD
Authors: Novickis Charles , Ferreira Daniel José Oliveira , Park Song Won , Codolo Milene Costa
Published: December 2022

Gas scrubbers are important equipment for air pollution removal. Among the scrubbers we can highlight the spray tower, which has several advantages, such as low pressure drop, easy maintenance and low operational costs. However, the velocity profile inside this equipment is complex, making its analysis and design very difficult. Therefore, the present work aims to perform numerical simulations using CFD (Computational Fluid Dynamics) using Euler-Lagrange approach applied to a spray tower for SO2 absorption. The simulations evaluated the influence of the following variables on velocity and SO2 profiles, as gas and liquid flow rates, size droplet distribution and spray nozzles with different orifice diameters. The results obtained by CFD simulations showed the main absorption zones in the column and the influence of gas velocity, particle trajectories and droplet diameter in the sulfur dioxide absorption process. Furthermore, the experimental efficiencies were compared with the simulated for two conditions, the first condition with an experimental efficiency of 89% presented a simulated efficiency of 79.6% and the second condition with an experimental efficiency of 98.27% presented a simulated efficiency of 100%. This shows a good approximation between the simulated and experimental results
A kinetic impact strategy for deflecting an asteroid to form a gravity tractor system with a potentially hazardous asteroid
Authors: Gao Youtao , Fu Yuhai , Dong Zezheng , Cheng Yi , You Zhicheng , Dong Guocang , Bian Yue
Published: December 2022

Near-Earth asteroids pose an enormous threat to Earth. Removing them effectively from risk orbits is a crucial issue. To improve the deflection efficiency, we propose a method to control an intermediate asteroid as a gravity tractor to change the orbit of potentially hazardous asteroid. A multiple kinetic impact method is applied to an intermediate asteroid to change its orbit toward the potentially hazardous asteroid. The goal of multiple kinetic impacts is to control the intermediate asteroid to form a gravity tractor system with the potentially hazardous asteroid. First, we chose an asteroid that requires smaller transfer velocity increments as an intermediate asteroid. Then, we design the orbit of the gravity tractor system and use a multi-objective harris hawk optimization algorithm to optimize the kinetic impact mission. Finally, the effects of direct transfer model, multi-pulse transfer model, and gravity assist transfer model are investigated respectively. We compare the three transfer models and obtain a suitable kinetic impact deflection scheme. The results show that the proposed method can effectively deflect the potentially hazardous asteroid. Using an asteroid as a gravity tractor can greatly increase the deflection distance. Deflection distances can be increased from hundreds of kilometers to fractions of an AU.
Bis (2-Cyanoacetohydrazide) as Precursors for Synthesis of Novel Azoles / Azines and their Biological Evaluation
Authors: Sophy Mohamed Ahmed Elian , Reheim Mohamed Ahmed Mahmoud Abdel
Published: December 2022

The present work deals with the synthesis of 2-cyano-N'-(3-(2-(2-cyanoacetyl) hydrazinyl) cyclohex-2-en-1-ylidene) acetohydrazide 3 that used as a key precursor in the manufacture of new heterocyclic derivatives, such as pyrazole, pyrane, pyridine and pyrole incorporating cyclohexene moiety via its reaction with a variety of nucleophilic and electrophilic reagents. The newly synthesized compounds were characterized by their elemental analyses (IR, 1H-NMR, 13C-NMR and Mass spectra) and assessed for their anti-microbial activity.
Chaos Gray Wolf global optimization algorithm based on Opposition- based Learning
Authors: Luo Zhiyong , Tan Mingxiang , Huang Zhengwen , Li Guoquan
Published: December 2022

Gray wolf optimizer (GWO) is a new heuristic algorithm. It has few parameters and strong optimization ability and is used in many fields. However, when solving complex and multimodal functions, it is also easy to trap into the local optimum and premature convergence. In order to boost the performance of GWO, a tent chaotic map and opposition-based learning Grey Wolf Optimizer (CO-GWO) is proposed. Firstly, some better values of the population in the current generation are retained to avoid deterioration in the next generation. Secondly, tent chaotic map and opposition-based(OBL)are introduced to generate values that can traverse the whole feasible region as much as possible, which is conducive to jumping out of local optimization and accelerating convergence. Then, the coefficient \(\vec {a}\) is dynamically adjusted by the polynomial attenuation function of the 2-decay method. Finally, the proposed algorithm is tested on 23 benchmark functions. The results show that the proposed algorithm is superior to the conventional heuristic algorithms, GWO and its variants in search-efficiency, solution accuracy and convergence rate.
Immune-related lncRNAs pairs prognostic score model for prediction of survival in acute myeloid leukemia patients
Authors: Liang Xue , Li Cong , Fan Mengmeng , Zhang Wanqiu , Liu Linlin , Zhou Ji , Hu Linhui , Zhai Zhimin
Published: December 2022

Acute myeloid leukemia (AML) is one of the most common malignant and aggressive hematologic tumors, and risk stratification is indispensable to ensure accurate treatment. But immune-related long noncoding RNAs (ir-lncRNAs) pairs prognostic risk model used to stratify AML has not been reported yet. In this study, we established an eight-pairs of ir-lncRNAs risk regression model by LASSO-penalized Cox regression analysis, and patients were divided into high-risk group and low-risk group based on their risk scores. High-risk patients presented more tumor mutation frequency, higher expression of human leukocyte antigen (HLA) related genes and immune checkpoint molecules. Gene Set Enrichment Analysis (GSEA) indicated that transforming growth factors β (TGFβ) pathway was activated in high-risk group, and we similarly found the expression of TGFβ1 was up-regulated and correlated with a poor prognosis in AML patients, exogenous TGFβ1 could also protect AML cells from apoptosis induced by chemotherapy. The ir-lncRNAs prognostic model contributes to predicting the prognosis of AML patients and providing valuable information about their response to immune checkpoint inhibitors. And increased TGFβ1 level resulting drug-resistant maybe one of main causes for treatment failure in high-risk patients.
Ethool, a tool to enable ethical and legal decision-making in research involving humans using new technologies in Europe: design and usability validation
Authors: Garzo Ainara , Garay-Vitoria Nestor
Published: December 2022

Human participation in technological research projects has become more frequent in recent years. However, most of the technological researchers who organize such experimentation are unaware about the various ethical and legal implications involved. Further, when it is a medical device prototype that is being evaluated, the ethical and legal implications may be even more complex. A review of the laws, standards and recommendations in Europe has been drawn up regarding human participation in new technology co-design, development and evaluation, focusing on technological research for assistive and medical devices. An easy-to-use tool, called Ethool, which acts as a guideline for European technological researchers has been designed and developed. In this manuscript, the iterative usability evaluation of Ethool is explained as well as the improvements made, following participants’ feedback. Ethool was rated as acceptable and usable by participants obtaining a SUS score of 93.0 in its last evaluation. The tool is currently available to be used by any interested parties with the aim of gathering additional feedback.
Stress Analysis of Leaf Spring Suspension System with The Combination of Helical Springs
Authors: Bhumarker Amit , Singh Abhishek
Published: December 2022

This study examines a modified leaf spring suspension system that was developed by combining two helical springs with the master leaf in order to improve the design of an existing leaf spring suspension system. To accomplish this, researchers are investigating the design and modeling of a semi-elliptical type mono-leaf spring on a light-weight compact truck. A helical spring is developed and created on both sides of this mono leaf, distanced equally from the leaf's center. In CATIA-V5R20, all modeling and analytic tasks are completed. Both theoretical and FEA methodologies are used to individually obtain the results of stress analyses under various loading conditions for the standard mono-leaf spring model and the proposed model with helical springs. Results indicate that using helical springs in combination with a master leaf reduces stress by an average of 8.3% for any loading condition. The present research has certain advantages that might undoubtedly optimize, stabilize, and make flexible the current leaf spring design for significantly improved performance and passenger comfort.
How Regional Plan Association – New York's Civic-Led Group – 'Gets Things Done'
Authors: Yaro Robert
Published: December 2022

This paper brie fly describes Regional Plan Association's (RPA) eff orts over the past century to shape the development of the New York–New Jersey–Connecticut metropolitan region. With twenty-four million people and a $2+ trillion economy, this is America's largest
urban region. I explore the advantages and drawbacks facing an independent, non-statutory entity like RPA in carrying out this mission. The RPA's history is the subject of a newly published monograph and website prepared by the Association for its Centennial in 2022 (RPA, 2022), and recent
feature in Bloomberg CityLab (Scurio, 2022). This paper draws on my twenty- fiveyear personal experience leading RPA and its professional staff (1989–2014). I also conceptualized, led and co-authored RPA's Third Regional Plan, and initiated its Fourth Plan. The paper outlines how an
independent civic group can help public bodies achieve important policy and investment outcomes for a large metropolitan region.
The Importance of Process in Planning: the Dublin Transportation Initiative
Authors: Mangan Pat , Steer Jim , Chadwick Neil
Published: December 2022

There are plenty of good transport plans for major cities, but few that are implemented and fewer still that have been transformational. At a time when planning imperatives are less about growth and more about adaptation to climate change, there is value in looking again at comprehensive
approaches to transport development at a city-region level. Rarely is there a possibility of first-hand accounts of how a city that had failed to implement earlier (1970s) plans found a successful way forward twenty years later through an emphasis on the process of planning. With the bene
fit of being able to observe implementation of the EU-funded Dublin Transportation Initiative (DTI) over a twenty- five year period, the authors draw on their first-hand knowledge of how the DTI was created in the early 1990s, overcoming what had been missing in earlier planning a empts, and
how an insistence on confronting key policy choices was crucial. The detail in the comprehensive plan certainly ma ers, but it's the process by which the DTI was created and then carried forward, establishing a broad support-base, that determined its successful implementation.
Authentic Visions and Effective Plans: The Adamstown Strategic Planning Zone (SPZ) in the Republic of Ireland
Authors: Jackson Ruth , Basford Lynn
Published: December 2022

A major programme is a combination of projects that together deliver a defined outcome, for example urban regeneration, major infrastructure investment, or an urban extension. It takes time and it needs a good plan. But circumstances change over time. That same good plan must have in
place the flexibility to respond to change. The intention of this paper is to provide a practitioner's reflection on plans for major programmes. It explores the theme of eff ectively se ing and maintaining an authentic vision, drawing on learning from engineering and business sectors and considering
experiences of the Adamstown Strategic Planning Zone (SPZ) in the Republic of Ireland.
Implementing the Council of Europe Landscape Convention: The Deûle Park, Reawakening of a Landscape
Authors: Florin Luc-Émile Bouche
Published: December 2022

This paper is a study of a representative example of the application of the Council of Europe Landscape Convention (CEP), with a project that is emblematic of the implementation of the CEP as the first winner of the Council of Europe's landscape award in 2009. It shows how the principles
of that international treaty ratified by France and enshrined in national law was able to inspire public plans and policies for the reconstruction of landscapes that met the objectives of the four sustainable development pillars of culture, environment, society, and economy. This example demonstrates
that public policies can bring positive results in those fields and generate not only quality public space but also significant improvement in the quality of life by ensuring access to the fundamental good of landscape while preserving access to another fundamental good of drinking water.
The paper starts with a short history of the Landscape Convention, then brie fly explores its main premises and values, before providing the concrete example of the Deûle Park or Parc de la Deûle located within the Lille metropolitan area, in the North of France.
From a Special Economic Zone to a Smart Sustainable City: The Power of Strategic Spatial Planning in Shenzhen
Authors: Kam Ng Mee
Published: December 2022

Nested in a centrally driven political hierarchy, planners in Shenzhen, China's first Special Economic Zone, have an onerous task in steering the city's spatial developments. They must refer not only to higher-level plans in formulating its development strategy, but also use planning
to regain control of a city with vested land interests (former farmers with collectively owned land and state-owned enterprises who have been 'zone builders' from day one) in order to ful fil its role as the country's pioneering, sustainable, low-carbon, and high-tech city. The paper argues
that while strategic spatial planning is quintessential to the wellbeing of people, place, and planet, one has to understand its potential and constraints through implementation and grounded evolving practices shaped by, among others, historical, economic, political, and governance factors.
CURRENT KNOWLEDGE OF SCOLIOSIS IN PHYSIOTHERAPISTS AND PHYSIOTHERAPY STUDENTS TRAINED IN TURKEY
Authors: AKGÜL Hakan , KILIÇ Berivan Beril , SELÇUK Halit , SERMENLİ AYDIN Nimet , METE Emel , SARI Dilara Merve , DRAKE Shawn , KURU ÇOLAK Tuğba
Published: December 2022

Purpose: Present evidence suggests that early detection and correct management is an essential

part of scoliosis treatment. Therefore, the physiotherapists and physiotherapy students must have

adequate knowledge of scoliosis. The purpose of this study was to evaluate the current knowledge of

physiotherapists and physiotherapy students in Turkey on scoliosis.

Methods: A previously designed questionnaire based on International Society on Scoliosis Orthopaedic

and Rehabilitation Treatment (SOSORT) guideline consists of two sections was used in this study.

The first section included eight questions to evaluate the knowledge level on the definition, cause,

development, prevalence, diagnosis, treatment, and bracing of scoliosis. The second section included

three multiple-choice questions to analyze the participants’ opinions on exercises for scoliosis. All

Turkish universities offering physiotherapy degrees and graduated physiotherapists from certain

social media groups were invited to participate in the study.

Results: 649 physiotherapists and 497 students completed the questionnaire. Scoliosis is recognized

as a 3-dimensional deformity of the spine by 39.8% of the students and 57.2% of the physiotherapists.

Only 19.5% of the students and 30.7% of the physiotherapists correctly identified the diagnostic

criteria for scoliosis. For therapeutic exercise, 48.7% of the students and 61.3% percent of the

physiotherapists identified the appropriate approach, and also 57.3% of the students and 62.6% of

the physiotherapists correctly identified the bracing recommendations.

Conclusion: Results of this study showed that physiotherapists and physiotherapy students do not

have sufficient knowledge of scoliosis. Action needs to be taken to improve the awareness and basic

knowledge level of scoliosis.
Sustainable Mitigation of Wastewater Issues Using Microbes: Hurdles and Future Strategies
Authors: Makut Bidhu Bhusan , Mukherjee Mayurketan , Goswami Gargi , Das Debasish
Published: December 2022

Exponential growth in population associated with changing lifestyle patterns
and industrial upheaval has led to the degradation of the most valuable renewable
resource i.e. water. Contamination of water bodies of varying sizes across the world
has resulted in mass-scale deterioration of health and environmental adversaries.
Uninhibited disposal of domestic, municipal and industrial effluents onto water bodies
has severely impacted the flora and fauna, in turn affecting human health globally. If
unchecked, this would lead to an unmitigated disaster, which would be detrimental to
the very existence of humans on the planet. Wastewater remediation, therefore, is of
paramount importance to safeguard water bodies and prevent them from excessive
pollution. To that end, novel, sustainable technologies for elevated nutrient removal
from wastewater are the need of the hour. Bioremediation of wastewater is one of the
most prolific and novel approaches directed towards the efficient elimination of
contaminants coupled with their subsequent conversion into value-added products.
Over the last few decades, microbial treatment processes have gained increasing
momentum due to their ease and high efficiency compared to conventional treatment
technologies. The chapter provides a detailed overview of various biological
wastewater treatment methodologies such as bacterial, fungal, microalgal and
microalgae-bacteria consortium-mediated bioremediation.
Depression, anxiety, and stress in residents of a neglected population in the district of San Juan de Lurigancho
Authors:   Directorio de Investigación, Universidad María Auxiliadora, Lima, Peru, Perez-Siguas Rosa , Matta-Solis Hernan , Matta-Solis Eduardo , Matta-Zamudio Lourdes , Tovar-Baca Juan
Published: December 2022

The global situation is causing a crisis in the mental health of the population in general as a result of the coronavirus pandemic, and the person in situations of crisis or change, present responses of anxiety, stress, and depression due to the moments of risk that are being faced as a result of the pandemic. Therefore, its research objective is to determine depression, anxiety, and stress in residents of a neglected population in San Juan de Lurigancho. It is a quantitative, descriptive, cross-sectional study, with a total population of 480 participants from the district of San Juan de Lurigancho, who responded to a sociodemographic data questionnaire and the Depression, Anxiety, and Stress Scale (DASS-21). In the results, we observe the correlation between the main variable depression with the variables of sociodemographic aspects in the study, it can be evidenced that there is an existing relationship between the main variable depression, and the variables of the sociodemographic aspects since its score is (p <0.005). In conclusion, professional help for young people should be taken into account, promoting prevention programs, coping skills, and mental health about the pandemic and what decisions to make in this current situation.
The Use of Innovation Technology in Pedagogical Practices of L2 Reading Comprehension: An Annotated Bibliography
Authors: Khadawardi Hanadi Abdulrahman
Published: December 2022

Teaching reading as a second/foreign language has gained increasing significance in the educational field. Investigating pedagogical methods has become one of the major areas of research in the expanding field of teaching second language (L2) reading comprehension. Many researchers have addressed various pedagogical aspects and issues related to this field. This annotated bibliography is designed for researchers and instructors working on developing modern technological techniques of teaching reading in second/foreign language settings and to provide a solid theoretical and pedagogical background based on many types of data from various angles and contexts. It attempts to provide an overview of and highlight research studies related to teaching L2 reading comprehension through updated digital methods with applications and recommendations based on previous research studies. The sources listed in this annotated bibliography are journal articles arranged alphabetically by author, and for each work there is a brief non-evaluative synopsis of the study’s objectives, instruments of data collection and results.
Li-Fi Technology
Authors: Tanwar Rajat , Gupta Ashi , Bhatia Dr. Manjot Kaur
Published: December 2022

Abstract: If you have multiple devices connected to your organization, use remote internet at a restaurant, or are in a gathering looking for transmission capacity, you might be surprised by the sluggish speeds. The German physicist Harald Haas published another innovation called "information by brightness". This means the transmission of information through LED lights, the power of which changes faster than the natural eye can follow. According to him, this innovation relies on the performance and functionality of photo discharge diodes. This white paper reviews the evolution and capabilities of Li-Fi-based frameworks, including their publication and current innovations for remote organizations.
Road Structure Quality Classification using Reinforcement Learning
Authors: S Shilpasree
Published: December 2022

Abstract: Owing to the exponentially growing amount of transportation on the road, the number of mishaps on daily basis is also growing at a shocking rate. There is one death every 4 minutes due to road mishaps in India. One of the foremost causes of these road mishaps to occur is the poor road environment. In the present work, Reinforcement learning is used to classify road quality. Reinforcement learning is a part of machine learning. Suitable actions are taken to maximize the reward. Reinforcement learning is different from supervised learning, in reinforcement learning, there is no trained dataset but the agent learns from its experience and decides what actions should be performed for the given task in order to achieve the maximum reward. We use Qlearning a Reinforcement learning algorithm that will find the best action, in the given current state of an environment. It chooses the action randomly and aims to maximize the reward. An environment is created in which policy, action, and rewards to classify road structure quality are defined. The dataset has 15 features and 5 classes based on which policy is defined that defines the next action to be taken based on the state. Training and Testing are done with 80:20 ratios. Accuracy for q-learning is 93.62% and enhanced q-learning is 93.74% obtained. A confusion matrix with precision, F1 score, recall, and support is calculated. The accuracy obtained for different training and testing model ratios 60:40, 70:30, 80:20, and 90:10 is 93.19, 91.06, 91.51, and 91.86 respectively. The average accuracy for the training and testing model is 91.86.
Survey on Skin Cancer
Authors: Pawar Prof. Atul , Mande Vaishnavi , Kathe Dhanali , Sude Maithili , Mande Shreya
Published: December 2022

Abstract: Due to a lack of awareness of the signs and methods for prevention, skin cancer is one of the most deadly types of cancer, and the death rate has dramatically increased. Therefore, in order to stop the spread of cancer, early identification at an early stage is essential. There are other varieties of skin cancer, but melanoma is the most dangerous one. However, if discovered early, melanoma patients have a 96% survival rate with straightforward and affordable therapies. The goal of the project is to identify and categorize different types of skin cancer using machine learning and image processing techniques. Melanoma skin cancer poses a serious and dangerous risk to people. Due to the direct link between melanoma skin cancer and fatalities, early detection of this disease is crucial for patients. Melanoma skin cancer is fully treatable if caught in its early stages. In this study, early melanoma skin cancer detection and classification are performed utilizing a variety of algorithms, including the K-means clustering method, neural networks, K-Nearest Neighbour, and Navie Bays, etc.
Survey on Drowsiness Detection and Alert System using ML Approach
Authors: Dhengre Mr. S. G. , Patil Aishwarya , Soman Bhaskar , Mirajkar Onkar , Suryawanshi Rushikesh
Published: December 2022

Abstract: Many of the accidents occur due to drowsiness of drivers. It is one of the critical causes of roadways accidents now-adays. Latest statistics say that many of the accidents were caused because of drowsiness of drivers. Vehicle accidents due to drowsiness in drivers are causing death to thousands of lives. More than 30% of accidents occur due to drowsiness. For the prevention of this, a system is required which detects drowsiness and alerts the driver which saves the life. In this project, we present a scheme for driver drowsiness detection based on visual information and Machine Learning. In this, the driver is continuously monitored through a webcam. This system is used to locate, track, and analyse both the drivers face and eyes, a scientifically supported measure of drowsiness associated with slow eye closure.
The Polymer Medical Waste: A Tough Challenge for Environmental Sustainability
Authors: James Dr. Mousumi Bhattacharjee
Published: December 2022

Abstract: Medical waste is the term used for trash generated at health care units, like hospitals, medical clinics, dental practices, blood banks, or veterinary hospitals/clinics, as well as medical research facilities and laboratories. We are aware of the fact that medical waste is healthcare waste that may be contaminated by blood, body fluids or other potentially infectious materials and in the context of this related study more important the non-decomposable waste mostly plastics/ or non-degradable polymers, which could be a challenge for environmental sustainability and human health. At the same time we cannot deny the numerous positive attributes of plastics which have enabled them to achieve this particular niche. Medical facilities without the use of plastics are almost unimaginable. During the peak of the outbreak of the dreaded pandemic, a critical period for the prevention and control of the disease, the world faced the issue of COVID-19 related waste as a threat to global public environmental health. Medical waste management during this pandemic emerged as the prime issues facing public service organisations such as municipalities, in terms of logistics, environment and social
Automation of Gears in Bicycle
Authors: Thakkar Dhruv , Dhonde Shreyansh , Dhorage Prathamesh , Kshirasagar Dhruv
Published: December 2022

Abstract: The project is automation of the shifting of gears on the bicycle. It will enhance the riding experience of the cycler on different terrains. It is a step towards modernizing the bicycle in 21st century. This project can be merged in electric cycles for making it more efficient. Our aim is to replace the motorcycles with bicycles by bringing such developments in the market for eco-friendly travel. πsensor for sensing the speed of the cycle and then shifting the gears using high torque of servo motor. The servo motor will shift the gears through code logic. There will be an LCD will display the speed and current gear position. The code is encoded through Arduino ide.
An Approach to Green Energy, Advantages and Its Application
Authors: Sharma Dr. Subhash Kumar , Dubey Dr. Shri Prakash
Published: December 2022

Abstract: We know that the Energy is the property of objects which can be converted into different forms or can be transferred to other objects but cannot be created or destroyed. Green energy is the energy that is produced in such a way as to minimize its negative impact on the environment. It is a renewable source of energy. Sources of green energy such as solar, wind, geothermal and hydro energy are developed and promoted as alternative source that make little or no contribution to climate change and the current application of this emerging technology, like generating electricity for various purposes, heating and cooling of water and more.
Safety Door Locking System of Cars with Effective Use of Sensors
Authors: Kumuda Gandi , Navallika D Santoshi , Devi D Rama , Jindam Nithya , Reddy S Madhava
Published: December 2022

Abstract: Door locking system is arranged in cars to warn the driver that there are obstacles in the surrounding. By using this type of arrangement many accidents can be prevented on highways and ORR where the driver or passenger opens the door without checking his surroundings causing accidents. The entire arrangement is controlled using the RX23EA micro controller which has high precision and accuracy. The camera and radar sensors used here give the driver a 360-degree view of their environment. When the sensors sense the obstacle, it sends a signal to the micro controller as a result warning the person by switching ON the alarm and locking the doors. The main advantage is the usage of a power supply which makes sure that the locking system works even when the engine is OFF.
Substitutional Effect on Dielectric Losses in Polycrystalline CaxSr1-xTiO3 and PbxSr1-xTiO3 Ferro-Electric Mixed Crystals
Authors: Kumar Sunil , Yadav M S , Sharma Neetu , Deorani S C
Published: December 2022

Abstract: The Dielectric losses are theoretical investigated for CaxSr1-xTiO3 and PbxSr1-xTiO3 single crystal perovskites in paraelectric phase as a function of composition and temperature. In our calculation, the Silverman Joseph`s Hamiltonian augmented with fourth order phonon co-ordinates using double time temperature dependent Green`s Function technique is used. Dielectric loss is estimated for various value of x. The substitutional impurity depend dielectric losses increases with increases in composition x at room temperature and Dielectric loss tangent (tan δ) increases with increasing temperature at constant values of x.
THE IMPACTS OF STEM ON MATHEMATICS AND SCIENCE THROUGH LESSON STUDY: A SYSTEMATIC LITERATURE REVIEW
Authors: Nursyahidah Farida , Mulyaningrum Eko Retno
Published: December 2022

STEM-based mathematics learning is required to assist learners in developing 21st-century skills, including creativity, critical thinking, communication, and cooperation. However, the application of STEM-based Mathematics and Science learning in Indonesia is relatively new and rarely done due to some obstacles. One alternative is the implementation of lesson study for the learning community. This study determines the positive impacts of STEM on Mathematics and Science learning through lesson study for the learning community based on the findings of a systematic review of current research. The results show that applying the STEM approach through lesson study positively impacts teachers and students. Positive impacts for teachers include improving lesson quality and teaching professional competency as well as improving critical and creative thinking skills, information, media and technology abilities, life and career capability, problem-solving, basic questioning skill, learning achievement, science literacy, concept understanding, and motivation as advantages for students. Nonetheless, further research is necessary to investigate the best method for applying STEM-based learning in Mathematics and Science through lesson study.
DEVELOPMENT OF ONLINE INTERACTIVE LEARNING MEDIA USING GeoGebra APPLET ON PROBABILITY
Authors: Pebrianti Melinda , Handayani Isnaini
Published: December 2022

This study is intended to determine the feasibility of online interactive learning media using the Geogebra Applet on the probability material developed. The use of the model in this development research is the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. The research subjects included mathematics teachers and class VIII B students of Gema Nurani Integrated Islamic Junior High School. The data collection technique used was observation in the form of needs analysis and interviews and questionnaires. The results of the study were obtained based on the percentage of validity test scores by two expert validators including material experts and media experts as well as a questionnaire response from mathematics teachers and students to obtain the feasibility of the developed learning media. Based on the results of the assessment by the material expert validator, the percentage is 94.64% in the very appropriate category and media experts at 73.08% in the appropriate category. While the results of the feasibility of the mathematics teacher response questionnaire showed a percentage of 92.5% with a very decent category and a student response questionnaire of 88.04% with a very decent category. Thus, the use of the Geogebra Applet in the probability material is very feasible to be applied as an online interactive learning medium in class VIII.
MATHEMATICAL PROBLEM SOLVING BASED ON THE CHARACTERISTICS OF THE STUDENT’S THINKING STYLE
Authors: Vidyaningrum Ade , Raharjo Sigit , Pradja Barra
Published: December 2022

This study aims to analyze the ability to solve mathematical problems based on the characteristics of students' thinking style: Concrete Sequential (CS), Abstract Sequential (AS), Concrete Random (CR), and Abstract Random (AR). This research was carried out at one of the junior high schools in Tangerang, Indonesia. The subjects were 20 Year 7 students, with different thinking style. This research employed a qualitative approach. The instruments used are problem-solving tests and non-problem-solving tests on the characteristics of students' thinking style and a test of mathematical problem-solving ability accompanied by interview results. The data were analyzed descriptively to describe the test results of students' mathematical problem-solving abilities. The results showed that CS-type students could understand the problem in accordance with the indicators. Type AS students can understand but do not write the steps in detail. AR students are as well-understood but less thorough about their calculations. Meanwhile, CR students can understand only a few parts of problem-solving.
THE EFFECTIVENESS OF GEOGEBRA ASSISTED INTEGRAL CALCULUS MODULE
Authors: Yeni Yeni Listiana , Aklimawati Aklimawati , Wulandari Wulandari , Isfayani Erna
Published: December 2022

This research activity was motivated by the low learning outcomes of students in the Integral Calculus course and the unavailability of the GeoGebra-assisted Integral Calculus module in the Mathematics Education study program, Malikussaleh University. The purpose of the study was to determine the effectiveness of the GeoGebra-assisted Integral Calculus module. The type of research is development research with the Plomp development model which includes three stages of preliminary research, prototyping phase, and assessment phase. The test subjects were students of the Mathematics Education Study Program, Malikussaleh University. The instruments of this research are observation sheets of learning activities, student response questionnaires, observer response questionnaires to modules and test instruments. Based on the results of the study, it is known that the GeoGebra-assisted Integral Calculus module meets the effective criteria because the results of the learning activity observation sheets are in the very good category, student and observer responses to the module are in very good criteria and student test results have increased.
DEVELOPING INTERACTIVE LEARNING MEDIA BASED ON ADOBE ANIMATE APPLICATIONS FOR GEOMETRY TRANSFORMATION
Authors: Baihaki Baihaki , Djamilah Soraya , Lazwardi Ahmad
Published: December 2022

Some mathematical material will be challenging to understand without learning media, primarily topics that requires visualization, such as geometric transformations. This study aims to describe the process of developing interactive learning media based on the Adobe Animate application of geometry transformation. It also describes the validity and practicality of the developed learning media. This type of research is research and development. The product developed was an interactive learning media application on geometry transformation material created using Adobe Animate. The development model used was the Multimedia Development Life Cycle (MDLC), consisting of six stages: concept, design, collection of materials, manufacture, testing, and distribution. The research found that the interactive learning media developed were fairly valid (80.12%), with a high level of practicality (4.19). Overall, the learning media developed is feasible to be used in the learning process or as a means of independent learning for students of geometry transformation.
STUDENTS' EPISTEMOLOGICAL BELIEFS IN SOLVING GEOMETRY TRANSLATION PROBLEMS
Authors: Kaliky Syafruddin , Sopamena Patma , Putra Arya
Published: December 2022

The 2018 PISA results show that Indonesian students' numeracy and literacy skills are poor. Epistemological beliefs, beliefs in mathematical knowledge, are one of the factors contributing to poor student literacy skills. This study analyzes epistemological beliefs in solving translation problems of Year 9 students in one of the junior high schools in Manipa Islands, Indonesia. This research employed a descriptive a qualitative approach. The subjects in this study were students who tend to meet the indicators of epistemological beliefs. Data collection techniques were observation, tests, interviews, and documentation. The results showed that students' epistemological beliefs in completing the translation met the requirements. First is being able to solve mathematical problems by taking time, where students needed time to solve the problem. This is because students are not sure that they can solve them. Second, students can solve problems that cannot be solved with simple, step-by-step procedures, where students solve problems using their rules/settlement procedures. The third is understanding essential concepts in mathematics, where students understand and work on translation problems using mathematical concepts well. Fourth, word problems are essential in mathematics, with word problems, students can improve critical thinking skill. Finally, efforts can improve mathematical abilities, where students can try to solve problems to improve their math skills. Efforts include reviewing the lesson and increasing practice questions.
Formulation and Evaluation of Sustained Release Solid Dispersed Nifedipine Microcapsules
Authors: Patel Ayushi , Jain Rupesh Kumar , Jain Vivek , Khangar Pushpendra Kumar
Published: December 2022

Conventional drug delivery system for treating the angina and hypertension are not much effective as the drug do not reach the site of action in appropriate amounts. Thus potent and guarded therapy of this angina and hypertension disorder using specific drug delivery system is a challenging task to the pharmaceutical professionals. The study was aimed at increase the solubility of poorly soluble drug nifedipine and formulating it in sustained release dosage form. Solid dispersion of drug was prepared using Poly vinyl pyrrolidone (PVP) as inert hydrophilic carriers by solvent evaporation technique. A 17-fold increase in dissolution rate of nifedipine was observed with solid dispersion prepared with PVP (K30). Sustained release microcapsules of nifedipine were formulated using Eudragit RS 100 as a polymer, acetone as polymer solvent for Eudragit RS100, N-hexane as a non-solvent, liquid paraffin vehicle, with solid dispersion of nifedipine as core by emulsion solvent evaporation method and modified emulsion solvent evaporation method. Microcapsules from all the batches were found to discrete, spherical and free flowing and % entrapment efficiency was found to be in range of 96.01% to 97.87%. All the batches of microcapsules showed sustained release curve in pH 7.4 phosphate buffer up to 12hours with maximum release up to 97.22% after 12hrs was found to be in B2. SEM studies of the microcapsules showed the surface topography states that prepared microspheres were spherical in shape. Shiny and uniform covered surface with polymer.
Keywords: Nifedipine, Poly vinyl pyrrolidone, Solid dispersion, Microcapsules, Emulsion solvent evaporation method
The Neighbourhood Effect in Russian Regional Policies: Autocorrelation and Cluster Analysis
Authors: Okunev Igor Yu. , Lopatina Vasilisa R.
Published: December 2022

Regional convergence is one of the greatest strategic challenges for the Russian Federation. Socio-economic zoning directly affects the regional policy in Russia, as most administrative and political practices are reproduced within a federal district or an economic region. This study is aimed at identifying steady clusters or, in other words, groups of Russian regions, based on quantitative data on socio-economic development. The study relies on the methods of spatial econometrics. The authors also aim to compare the results of their study to the macro-regions suggested by the Strategy of Regional Development of the Russian Federation and therefore to the current administrative practices. The paper determines 12 clusters continual in space, based on 62 regional development indicators and reflecting the statistical resemblance of the regions within a cluster. The study has not found stable macro-regions of similar values except in Siberia and the Far East. Thus, the authors conclude that addressing the wide range of socio-economic problems based on one standardized grid for dividing the country will likely not lead to success. Therefore, a more asymmetric and multi-level regional policy should be sought. This implies that every ministry responsible for an area of regional development should come up with its own spatial structure of Russia in order to define its targets and the practices required to meet them.
‘New’ Russian North: The Historical Province Amidst оf Social and Political Problems
Authors: Shabaev Yury P.
Published: December 2022

This article analyzes the nature of colonization processes in the European north of Russia in different eras. Special consideration is given to the problematic nature of modern demographic and social processes and their ethno-cultural component. Significant attention is paid to the analysis of the nature of the social and cultural development in the European North in previous eras and to the rethinking of existing interpretations of the process of the socialist industrialization in this area. It is demonstrated that from the standpoint of the general sociological approach, this industrialization cannot be viewed as a process of modernization, and therefore it would be more correct to speak of the next stage of colonization, the penal one. In the late Soviet period, a transition to a new model of the regional development took place. However, this new model presupposed neither the civil integration nor the formation of rooted societies. Strong rooted territorial communities with a clearly defined identity have not formed in the northern republics and oblasts. It is shown that there is an urgent need to form a new model for the development of the European north, using both the resource of cultural heritage and modern approaches to the formation of the industrial and social environment. In addition, the need for a large-scale renewal of the regional political elites as well as the very principles of their formation is becoming more and more obvious. The work uses comparative historical and ethnographic methods, the provisions of migration theory, the statistical and sociological methods (mass polls), as well as political and sociological approaches to understanding social conflict. As for the political science approaches, the article is based on the provisions of rational choice theory.
Leaders and Wingmen: Youth Policy in the Views of its Participants - an Evidence from Krasnodar Territory
Authors: Samarkina Irina V. , Miroshnichenko Irina V. , Maltsev Sergey S.
Published: December 2022

The article presents the results of a study of young people’s perceptions of regional youth policy. The authors use the theoretical model of the subjective space of politics to analyze empirical data reflecting the state of the subjective space of sectoral policy - the state youth policy of the Krasnodar Krai. The main motives of youth activity in regional youth policy are determined based on the data from a mass survey of young people, focus group interviews and a series of expert sessions with representatives of authorities and other entities implementing state youth policy. The article reveals the constructive and negative potential of young people’s social activity, as well as identifies the main social profiles of young people and describes their content parameters. The authors conclude that young people are involved in interactions with the authorities to solve their own problems or the problems of other people. They show that social projects, territorial development projects, the activities of political parties and local self-government have the biggest potential for involving young people in social activity. They also note the existing potential of young people’s participation in protests. The authors describe the profiles of young people according to two parameters: according to the severity of social orientation young people are divided into consumers (orientation towards themselves, solving their own problems) and transformers (orientation towards solving other people’s problems); and according to the degree of leadership positions and social activity they are characterized as leaders and followers.