bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transport measurement of MgB2 wire under the sub-cooled water ice compared to other cooling conditions
Authors: Búran M , Kopera L , Kováč P 
Published: July 2022

Abstract
The standard DC transport measurements of MgB2 composite conductors were done in vacuum, low-pressure helium gas, sub-cooled solid nitrogen and water ice. The effect of these coolants on electro-thermal behaviour was studied at self-field and temperature range from 32 K to 36.5 K. The obtained results show that even small volume of Helium gas enhances the sample thermal stability during the I–V measurement in comparison to those obtained in vacuum. The cooling by solid nitrogen improves the sample stability in contrast to helium gas. The measurements performed inn water ice exhibits an excellent and stable behavior of superconducting wire carrying high transport current below and above the quench as well. Consequently, water ice shows simple, safe, and promising He-free mode of cooling for future superconducting systems.
Achromatic acoustic generalized phase-reversal zone plates
Authors: Yu Gaokun , Zou Xinyu , Wang Peifeng 
Published: July 2022

Abstract
We report an achromatic acoustic generalized phase-reversal zone plate by harnessing the response of dipole and monopole, which eliminate the chromatic aberration of conventional zone plates. The focusing properties of the proposed metalens are compared with that of the conventional Soret-type Fresnel zone plate (FZP) in both experiments and simulations. Due to the combination of the phase-reversal characteristic and the tunable transmission phase induced by dipole and monopole, an achromatic high efficient focusing is confirmed by experiment in the frequency range from 3350 to 3950 Hz, with the focal intensity of achromatic metalens being approximately twice that of Soret-type FZP. The proposed achromatic metalens has potential applications in the broad field of acoustics, such as imaging and energy harvesting.
Multi-chaotic inflation with and without spectator field
Authors: Morishita Yukiyoshi , Takahashi Tomo , Yokoyama Shuichiro 
Published: July 2022

Abstract
Motivated by the result of Planck+BICEP/Keck recently released, we investigate the consistency of the multi-field inflation models in terms of the spectral index ns
and the tensor-to-scalar ratio r. In this study, we focus on double-inflaton models with and without a spectator field.
We find that inflaton with a quadratic potential can become viable
when three fields with a specific hierarchical mass spectrum are realized such that two fields act as inflatons and the other one is the spectator. We also discuss the conditions to avoid the fine-tuning, by careful study of how the prediction depends on the background trajectory in the inflaton-field space.
Constant-roll, cosmic acceleration, and massive neutrinos
Authors: Anari V. , Mohseni Sadjadi H. 
Published: July 2022

Abstract
We propose a model to describe the late-time cosmic acceleration in the context of the constant-roll model. By considering a coupling between massive neutrinos and the quintessence, the onset of evolution of the quintessence is related to the neutrinos' behavior. When the neutrinos become non-relativistic, the dark energy density increases from zero and results in late-time cosmic acceleration alleviating the coincidence problem. The quintessence potential is such that it evolves under the constant-roll condition giving rise to persistent late-time acceleration.
Opto-thermophoretic superlattice for atoms
Authors: Krasnov I V 
Published: July 2022

Abstract
We propose and study a dissipative optical superlattice for manipulation of resonant particles (atoms, ions and similar ones) located in a transparent buffer gas. Its working principle is based on the simultaneous effect of a longitudinal rectified gradient force and a transverse thermophoretic force in the field of collinear superposition of bichromatic cosine-Gaussian laser beams. As a result, there occurs a strong periodic stratification of the gas manifested in the accumulation and sharp localization of the resonant particles at the nodes of the superlattice and their cooling. Moreover, in the case of linearly polarized light beams, there appear circulating currents of the resonant particles (the so-called Brownian vortices) in the gas. Unlike the traditional dissipative optical lattices, in the superlattice under consideration, transverse particle confinement is implemented only due to the light-induced thermophoretic force, associated with the finiteness of the effective radius of the light beams.
Study on the Influencing Factors of the Permittivity Estimation Method Considering Antenna Layout Based on Lunar Penetrating Radar
Authors: Wang Rui-Gang , Su Yan , Zhang Zong-Yu , Zhang Qing , Liu Chen-Di , Hong Tian-Sheng , Liu Shu-Ning , Du Wei , Dai Shun , Ding Chun-Yu , Li Chun-Lai 
Published: July 2022

Abstract
The permittivity of lunar regolith is crucial for further processing and interpretation of radar data. The conventional hyperbolic fitting method ignores the antenna height and spacing and has a significant error at a shallow depth. For the new method that considers the layout of the antenna, the influencing factors have not been studied. In this paper, we studied the influence of the position of the hyperbola peak and time zero on the new method for permittivity derivation. The simulation results show that when the input errors of time zero, abscissa and ordinate of the hyperbolic peak are ±2 ns, ±0.02 m and ±0.2 ns respectively, the average errors of the calculated results by points within 1 m from the hyperbolic peak are 10.0%, 16.7% and 38.2%, respectively. To improve the accuracy, we used the average results by points that are horizontally more than 1 m away from the hyperbola peak. Hence, we calculated the permittivity of the lunar regolith by the new method based on Lunar Penetrating Radar data. The average permittivity of the lunar regolith is estimated to be 3.3 ± 1.2.
Automated Training Techniques and Electronics Sensors Role in Cricket: A Review
Authors: Balbudhe Pravin , Khandelwal Dr. Brijesh , Solanki Dr. Sachin 
Published: July 2022

Abstract
This paper presents the study about technological involvement in game coaching. Attending multiple players with their performance and accuracy level checking is not feasible for coaches every time. Self-paced training sessions or self-learning methods are invented by different researchers & identify multiple games or the gaming apparatuses for different level automation. Methods used for analysis purpose & described the smart cricket ball & its circuit diagram. Tracking technology that are used in cricket, tennis, Gaelic football, badminton, hurling, rugby union, association football & volleyball, to visually track the trajectory of the ball, Centre of Percussion (COP) in cricket, Accelerometer & Swing angle model. Provides a systematic literature review of smart sport & various methods i.e, SVM, CART, ML, AI, CNN, SVM, ORB, SIFT & SURF. Lastly, future directions of research are proposed in the emerging field of SST.
Wireless sensor network enabled real-time remote intelligent health monitoring and management system using Internet of Things (IoT) sensing with cloud-based processing during covid-19 situation
Authors: Chatterjee Sumanta , Bhunia Pabitra Kumar , Mondal Poulami , De Monalisa 
Published: July 2022

Abstract
Mankind was living quite an ordinary life when Covid 19 pandemic struck. The whole world was in turmoil and was busy trying to make the situation normal again. But it was impossible to regain the old scenario and people had to accept the new normal. The new normal demands people to follow different guidelines out of which maintaining a social distance of 6 feet was a prominent one. Even in this situation occurrence of any disease does not stop and there are always some patients visiting a doctor. Also, a doctor doesn't always have the luxury to visit every place to see patients, especially in rural areas where there is a transportation problem. So we have come up with a cloud-based system that will use the internet of things to diagnose a patient. This device will contain different sensors like temperature sensor, body oxygen level sensor, blood pressure sensor, heart rate sensor, and height and weight measuring gadgets to measure the body parameters of the patient and then store this information in the secured cloud which can then be accessed by the doctor to diagnose the patient. The sensors will be embedded in an Arduino and it will be connected to the cloud wirelessly with the help of a GSM module and node MCU. Also, a laptop will be present to connect the patient and the doctor in video mode for conversations. This system will also generate a prescription provided by the doctor which can be used anywhere. Thus, this device will not only promote social distancing but also it will prohibit the spread of diseases that are communicable. The doctors can work from the comfort of their home without touching a patient and also without traveling long distances to remote locations.
Asymptotic Behavior of Solutions of Third-order Non-linear Neutral Difference Equations
Authors: Kokila G. , Santhi A. , Govindan V. , Mukherjee S. , Khedher K.M. 
Published: July 2022

Abstract
In this work, we study asymptotic behavior of solutions for a class of third-order non-linear neutral difference equation

Δ
(
m
(
i
)

(

Δ
2

y
(
i
)
)

β

)
+
s
(
i
)

z
β

(
i
−
ξ
)
=
0
,

where β is a proportion of odd positive numbers. m(i) > 0, s(i) ≥ 0, s(i) is not indistinguishable from zero for enormous i. We present the fundamental outcomes and guides to represent the principle results.
Optimization of Microgrid Operation under the Diffusion of Solar and Wind Plant with Special Attention on Environment
Authors: Biswas P , Das S , Pal B , Das P , Sasmal M , Ray P 
Published: July 2022

Abstract
This paper introduces a priority based Fuzzy Goal Programming (FGP) method for modelling and solving of microgrids using Genetic Algorithm (GA). The microgrid consider in this article consists of conventional and nonconventional power plants, such as wind and solar power plants. To incorporate the fluctuating outputs of solar and wind plants, the objectives of the problem are fuzzily described. In this article, optimal generation cost, total losses, and environmental ill-effect of power generation under the penetration of renewable energy resources (RES) are considered. In model formulation, the membership functions associated with fuzzy goals are transformed into membership goals and introducing under- and over-deviational variables to each of them. A GA scheme is used within the structure of FGP model to achieve the aspired levels of goals based on priorities in the decision environment. Then, a sensitivity analysis with variations of priority structure is performed and then the notion of Euclidean distance function is used to identify optimal power generation decision. To prove the usefulness of the intended method, three versions of a modified IEEE 30-bus and 6-generator system with renewable power generations are counted as the test systems. The model solution is also evaluated with the solutions obtained by using other approaches.
Diagnosis of Liver Disorder Using Clustering Technique
Authors: Singh Dharmpal , Bhattacharyya Sonali , Sahana Sudipta , Nath Ira , Paul Apurba , Halder Mohit Kumar 
Published: July 2022

Abstract
Data mining is the important tools used for the prediction based computing. It used many advanced techniques to predict the data and classification is one of them. The concept of classification based on the supervised learning whereas the clustering is based on the unsupervised machine learning.
In this work, concept of factor analysis has been applied to form the total effort on the data set and select the major factors that impact on it. The concept of K- mean algorithm has been on the total effect data to get the optimal cluster and Euclidian distance has been used for distance measure function. Based on the output of the dataset, the number of cluster has been decided for it and knowledge based formed on it. Thereafter the knowledge based was tested on new data set also.
Performance Improvement of Face Recognition Method and its Application in COVID-19
Authors: Biswas Suparna , Saha Hrithika , Maity Pritam , Goswami Ayantika 
Published: July 2022

Abstract
In this paper an efficient face recognition technique is presented by integrating Discrete Wavelet Transform and Compressive Sensing based classifier. At first discrete wavelet transform has been applied on each face images. Then an image fusion technique has been applied on the decomposed image to provide better detail information of face images. Principal component Analysis is applied on fused face images to extract the feature vector. Finally, the feature vector of test images is extracted and classified by Compressive Sensing based Classifier. This proposed technique is also tested on two publicly available databases on AR and ORL. This technique is also tested on masked face images and experimental result shows improved performance compared to conventional PCA.
Review on Power System Reliability Indices and Evaluation Techniques
Authors: Das Partha , Das S , Biswas Papun , Roy Partha , Pal Biswamoy , Sasmal Milan , Dhar Abhishek , Kundu Bitan , Paul Debraj 
Published: July 2022

Abstract
Now a day’s most accountable issue in the power industry is Reliability. power systems reliability using Quantitative analysis can be examined with the help of reliability indices. For a long period of time different methods introduced and developed to assess the reliability indices of the power system. In modern society Uninterrupted and Reliable electric power supply is necessary. The wide use of electricity has been lead to a high vulnerability to electric power failures. This is the reason, reliability of electric power has gained spotlight and it’s considered significant role while planning for a electric power system operation.
In this paper, a summary is given of the technique of finding out the reliability of a power system. Readers will get an idea about the possibilities of measuring Reliability indices.
The inspiration at the back of this paper is to set up a comprehensive general idea about Analytical and simulation technique for reliability assessment and serving for future research and development in the area of electrical power system.
Analysis and Observations of Associated Factors of Cardiovascular Disease
Authors: Majumder Annwesha Banerjee , Gupta Somsubhra , Singh Dharmpal 
Published: July 2022

Abstract
Machine learning contributes into gamut of domains starting from industry automation to healthcare services. It is a field of Artificial Intelligence using which machine can make decision without human intervention. There are many predominant machine learning algorithms which have proven their excellence in the field of regression and classification problem. Machine learning now a day is used in large scale in field of disease prediction. The acceptability of a machine learning based model depends on dataset used for training the model. Analysis of dataset is very important to identify the importance of individual attributes contribute to make decision. In this paper a cardiovascular disease dataset collected from UCI has been analyzed in detail to identify the distribution and impact of them in decision making.
Estimation of subsoil parameters and settlement of foundation for a project in Kolkata based on CPT, DMT.
Authors: Das K , Nandi S , Chattaraj S , Halder A , Sadhukhan W 
Published: July 2022

Abstract
In this study, focus is given on a selected project site. This site is located at Jadavpur University, Saltlake Campus, area situated in Kolkata city of India. The subject site comprises building structures with isolated footing. The soil investigation was carried out by two different approaches i.e., cone penetration test (CPT), and Marchetti Flat Dilatometer Test (DMT). The study describes a comparative study of undrained cohesion (Cu), angle of internal friction (Φ), constrain modulus (M) measured from CPT and DMT. Apart from that settlement analysis also been done for two different sizes of foundation e.g. (3M X 1M), (4M X 1M) by DMT Settlement software and PLAXIS2D. For providing the subsoil model for the investigation area, all the DMT and CPT results were compared with each other
An Experimental Analysis of Grinding Parameters and Conditions on Surface Roughness of Finished Product
Authors: Biswas P , Bardhan P K , Sarkar A , Islam M R , Mondal D , Bag S , Bose S 
Published: July 2022

Abstract
Higher grade or smooth surface finish mechanical components and mating parts with close limits and tolerances is one of the most important requirement of modern manufacturing industry. Grinding is the most dominating process among various manufacturing finish processes over final products that require in-depth investigation on how material removal processes influence the surface roughness of the finished products. In this work, an experimental analysis was carried out to evaluate the influence of various machining parameters and conditions on surface roughness of the final substrates. The main objective of this experimental work is to study the comparison of the effects of tools and conditions which are abrasive nature between Mild Steel (MS) and EN24 steel surface by using Depth of Cut (DOC).
Biofuel from organic waste- a smart solution to conserve nonrenewable resources – A review
Authors: Barman Ananya , Bhattacharjee Sangita , Dutta Trina , Pal Suparna , Chatterjee Swastika , Karmakar Prodyut , Mondal Sangita 
Published: July 2022

Abstract
Use of bio-fuels, fuels produced from renewable organic material, has the potential to reduce undesirable aspects of fossil fuel production and usage including conventional and greenhouse gas emission. With the continuously depleting fossil fuel reserve, production of biofuel from various feed stocks and processes have shown high potential to provide efficient and cost-effective alternatives, such as, algal photosynthesis, electrochemical carbon fixation, apart from well-developed technologies of production of bio-ethanol and bio diesel. A wide range of bio-fuels including charcoal, bio-oil, renewable diesel, methane and hydrogen can be obtained by pyrolysis of suitable biomass.
Unconventional Water Production Technologies for a smart and sustainable society
Authors: Ghosh Sandip , Sharma Soumajit , Ghosh Sujoy Kumar , Pal Biplob , Kanthal Sourav , Roy Shankhajit 
Published: July 2022

Abstract
Decentralized water generation and distribution systems have become quite a necessity for places that lack the infrastructure or economic resources of developed water supply systems. Unconventional methods of water production technologies are being proven to be highly beneficial for freshwater production in remote regions devoid of ground or underground water sources. On many occasions, such methods are dependent on the terrain of application. A comparative discussion has been made in this paper on leading technologies in unconventional water production, which has multiple advantages. Methods like absorbing water using desiccant materials, refrigeration systems and atmospheric fog collection systems are some sustainable options that are also eco-friendly and cheap systems. These can be used in various weather conditions like windy sites, desert as well as coastal regions.
Interactive online lectures for asynchronous delivery
Authors: Teese R B , Koenig K , Maries A , Chabot M 
Published: July 2022

Abstract
Physics teachers often use active learning techniques such as “clicker questions” in their lectures. We created a set of asynchronous online lectures that include clicker questions. Five instructors created and shared their Interactive Online Lectures for the first semester of an introductory calculus-based course. Each lecture consists of short video lecture segments interspersed with required multiple-choice clicker questions designed to help students understand the content. After submitting an answer, the student sees an explanation of why that answer is right or wrong. Instructors at five institutions used the lectures during the Fall Semester of 2020.
An alternative approach for exploring friction in laboratory
Authors: Montalbano Vera , Gambini Andrea 
Published: July 2022

Abstract
We propose an active learning path for developing laboratory skills in the pre-service education of physics teachers. An exponential relationship can arise under certain conditions in a simple mechanical system when friction is present. How to design a series of experiments to verify if the proposed relationship correctly describes the system? Can materials from everyday life be used? What data analysis can teachers suggest to students? How to effectively present the measures in a graph? How to promote in-depth discussions with students on the most significant experimental aspects? These are the main issues that can be examined in designing.
Introducing Quantum Mechanics through light polarization: Experiences in Hungary
Authors: Tóth Kristóf 
Published: July 2022

Abstract
In the 2019/20 school year I directed a teaching unit on quantum mechanics based on light polarization which enriched me with several experiences. Sometimes I faced problems because the obligatory Hungarian curriculum based on the wave nature of particles does not fit perfectly with the polarization approach of quantum physics. Nevertheless, I presented the polarization approach to my physics teacher colleagues too. Then I recognized some of the difficulties of Hungarian physics teachers in relation to this approach because they used to apply the wave approach. Thus, teacher training programmes should include the foundations of different approaches on equal footing, and in my opinion, teacher education should also respond to secondary school opportunities. In this article, I summarize the problems that may arise in applying the polarization approach in countries where wave formalism has a great tradition, like in Hungary. I also show why I personally prefer a 2-state approach in secondary school instead of the traditional wave formalism, and present what I have learned as a teacher. I highlight some of the requirements that arise when we intend to use polarization approach in physics teacher training programmes, and I make suggestions for teacher education too.
Quantum physics at high school: a collaboration between physics researchers and teachers to design teaching – learning sequences.
Authors: Pallotta F , Parola A , Bondani M 
Published: July 2022

Abstract
Quantum physics is changing the paradigms for understanding reality and is fostering scientific innovation. Nevertheless, the core concepts of the second quantum revolution are not included in the Italian physics curriculum. Our research project aims to generate the conditions for the development of the scientific competences related to the understanding of the fundamental concepts of contemporary physics at secondary school level. In the framework of Educational Reconstruction for Teacher Education (ERTE), we have developed a continuous professional development program for teachers to enable in-service physics teachers in secondary schools to introduce the superposition principle, quantum entanglement, and their technological applications into regular classroom activities. To achieve this goal, several types of activities have been planned to strengthen collaboration between high school teachers and physics researchers. The intended outcome is to create resources and materials that can help teachers and researchers create innovative physics curricula that can be used in normal secondary school teaching activities. In this paper we present the results of the first edition of a continuous professional development program for in-service teachers on introducing the superposition principle and quantum entanglement into online classroom activities during the schools Covid19 lockdown.