bluuebunny/crossref_metadata_2025 huggingface dataset:
Achromatic acoustic generalized phase-reversal zone plates
Authors: Yu Gaokun , Zou Xinyu , Wang Peifeng
Published: July 2022

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Work Group 4 Position Paper: Formal, Non-formal and Informal Aspects of Physics Education at the Primary Level
Authors: Giliberti M , Čepič M , Sokolowska D
Published: July 2022

Physics teachers’ training and professional development play a crucial role in preparing schools for the countless challenges they face. One of the central issues in the preparation of teachers is to provide them with tools, strategies, and methods to be able to build bridges between school and society, particularly to find fruitful links between formal, non-formal, and informal teaching, starting from primary school. In this paper, we report on some discussions developed during the Malta 2020 webinar by the Work Group 4 (WG4) participants, together with some questions and answers that emerged.
Neutron stars for training high-school teachers
Authors: Giliberti E , Perotti L , Giliberti M
Published: July 2022

In this period of COVID-19 emergency, online inquiry-based educational paths are of crucial importance for school. Here, we present a didactic path for training high-school teachers to be developed online, using as a starting point the physics of neutron stars. Our aim is to train teachers in performing at distance inquiry activities based on real experimental data and in acquiring the skills to use such activities in classwork. The path is scheduled to be tested for the first time in Spring 2021.
Monitoring PCK physics teachers’ strategies for Math and Physics Languages Integration: the teacher footprint.
Authors: Bologna V , Longo F , Peressi M , Sorzio P
Published: July 2022

The last twenty years of research in Physics Education have underlined the important role of the so-called Phys-Math interplay. The lack of students’ ability, at different ages and levels, to construct the mathematical model of physical processes or to describe the physical meaning of mathematical constructs has been emphasized. The main research work is currently attributing this difficulty to the way in which these subjects are taught, with a direct connection to the teachers’ Pedagogical Content Knowledge (PCK). The purpose of the present investigation is to examine the role of the physics teachers’ PCK in this interplay at the early stage of the physics study. To this aim, teachers’ and classes’ activities in different high schools have been observed. We report here the results of such observations, focusing in particular to the integration of the two disciplines’ languages.
The SAGEX review on scattering amplitudes Chapter 15: The multi-Regge limit
Authors: Del Duca Vittorio , Dixon Lance J
Published: July 2022

We review the Regge and multi-Regge limit of scattering amplitudes in gauge theory, focusing on QCD and its maximally supersymmetric cousin, planar

N
=
4

super-Yang–Mills theory. We identify the large logarithms that are developed in these limits, and the progress that has been made in resumming them, towards next-to-next-to-leading logarithms for BFKL evolution in QCD, as well as all-orders proposals in planar

N
=
4

super-Yang–Mills theory and the perturbative checks of those proposals. We also cover the application of single-valued multiple polylogarithms to this important kinematical limit of particle scattering.
Plastic waste mapping and monitoring using geospatial approaches
Authors: Zulkifli A.N. , Shafri H. Z. M. , Hirose K. , Noor N. M. , Maulud K. N. A. , Asmawi M. Z. , Mokraoui L. , Ang Y.
Published: July 2022

Riverine plastic pollution has received worldwide attention due to numerous challenges associates with it. This study is premised on the need to reduce plastic leakage from land-based sources into the ocean. Geospatial technology was used to model plastic leakage in Sungai Pinang, Pulau Pinang. This study proposed a citizen-based approach because the plastic waste project requires public participation. Citizen science application was used for plastic waste tracking along the river stretch. Collected data was then used to analyze plastic waste hotspot at the study area. The hotspot map shows that area has higher plastic waste at the middle of the study area which related to residential and recreational areas. Waste collection route was analyzed using the geographical information system (GIS) tool which is Network Analyst to identify the most efficient route collection from the waste point to Pulau Burung sanitary landfill. This GIS-based research method can be applied to other regions and data on the distribution can be used elsewhere. This paper shows how plastic tracking can be used to obtain information on riverine plastic pollution. Our research demonstrated that a combination of citizen science and a GIS technique can be utilized to improve public participation in raising awareness of marine plastic pollution.
What would be better for urban mapping in the Klang Valley? SPOT or Sentinel-1
Authors: Wahab M A , Md-Zin S M , Yaban@Julius M
Published: July 2022

Klang Valley is undergoing rapid urbanization. Many cities in Klang Valley are developing to cope with the trend for migration to more urbanized areas. At the current pace and magnitude of urbanization, land expansion is one of the most visible, irreversible forms of land use and land cover change. Thus, Remote Sensing is regarded as an essential tool in these contexts that are important for urban studies and planning. In the past, many studies have relied on optical Remote Sensing rather than synthetic aperture radar (SAR) data. Some have argued that SAR is a poor choice because of its speckle noise and requires complex pre-processing, but countries in the tropics, where clouds are a big problem, cannot always rely on optical. The present work utilizes the interferometric coherence method with the C-band datasets acquired from the Sentinel-1 and compares it with the vegetation index method on the SPOT datasets for 2016 and 2021. Once adequately processed and classified, the SAR images resulted in significant textures on urban areas with respect to the map generated from vegetation index of SPOT images. Hence, these findings may prove beneficial in developing an effective urban planning strategy and policy formulation for the Klang Valley.
Identifying Shoreline Changes in Tanjung Burung Forest Reserve and its Impact on Mangrove Stands Using Geospatial Technique
Authors: Fuazi Mohd Fairuz , Patah Norizan Abdul , Shahar Jamal Shuhaily
Published: July 2022

The Forestry Department of Peninsular Malaysia (FDPM) has received reports of coastal erosion and the death of mangrove trees in some parts of Tanjung Burung Forest Reserve, in the Kinta/Manjung area. This forest reserve especially on the southern part serves as a natural protector to Pantai Remis – an economically important coastal town in that area. To investigate the shoreline changes and its impact on mangrove stands, eight scenes of Landsat and SPOT-6 images from 1988 to 2020 were used. Shoreline extraction was performed using the classification technique and reclassify function, while statistics of shoreline change rate were measured using Digital Shoreline Analysis System (DSAS) tool. Normalized Different Vegetation Index (NDVI) analysis was also conducted to assess the condition of mangrove stands in the study area. Shoreline changes in the study area showed an erosion trend of up to 733.33 m with rate of change from -3.01 m/y to -23.43 m/y. This indicates many areas are experiencing critical erosion according to National Coastal Erosion Study (NCES) 2015. The results of this study can provide an overview of the current coastal erosion as well as an input for the authorities in taking appropriate necessary measures to protect this forest reserve.
Vessel charges estimation by using geospatial approach for Kuantan Port, Pahang
Authors: Kadir W H K , Zulkarnain M Z A , Khanan M F A , Ariffin A , Rambat S
Published: July 2022

Rapid changes in global shipping transportation introduce numerous technologies, among them known as “Automated Identification System (AIS)”. AIS is a transponder system that continuously transmits vessel information data between nearby vessels and shore stations via “Very High Frequency (VHF)” signals channels. In the recent past, a majority of the ports in the world use AIS to monitor and handle vessel activities within their jurisdiction. Nevertheless, there are integration issues with other information systems such as Geographic Information System (GIS) for marine and maritime environments. In regards to these issues, this study highlights the study of vessel charges estimation by using a geospatial approach for Port Kuantan, Pahang. The methodology involves tasks such as reviewing the current practice of vessel port charges estimation, undertaking geospatial analysis for vessel movement charges, estimating and validating charges for selected vessels. The result shows the information of vessel movement that is used to estimate specific vessel charges where finally this result is validated using Kuantan Port Consortium (KPC) charges system known as “Estimation Charges”. To conclude, the vessel charges estimation enables the integration between AIS and GIS in solving the problem of maritime transportation at port industries.
Uncertainty analysis in spatial planning application based on geographical information system (GIS) in Malang City
Authors: Arief M. Habibullah , Ramdani Fatwa
Published: July 2022

This paper presents a systematic analysis of the spatial information system based on Web-GIS in Malang city, Indonesia, related to the sources and types of uncertainty that happened, so that they do not have a negative effect on decision making. Process uncertainty analysis considering the various components of the so-called domains, which include Production-Oriented Uncertainty, Transformation-Oriented Uncertainty, and Application-Oriented Uncertainty. Based on the results of the analysis, obtained the uncertainty on the domain Production-Oriented form of vagueness and ambiguity caused by the non-synchronization of data between the central government and the city of Malang. Uncertainty on the Transformation-Oriented domain focuses on topological errors with an area gap value of 4,85 Km2, RMSE = 1,027, and a topology error percentage of 6.39%. Uncertainty in the Application-Oriented domain found an ambiguity due to the effect of the vagueness on Production-Oriented. It can be concluded that the source of uncertainty from the spatial information system based on Web-GIS in Malang city, Indonesia, is processed data in the Production-Oriented domain. Uncertainty in geographic information at this time should be considered an integral part of what must be built into our knowledge. Thus we can find out the complex nature of uncertainty in the spatial modeling sphere.
A Real-Time Distance Prediction via Deep Learning and Microsoft Kinect
Authors: Tham Hwee Sheng , Hussin Razaidi , Ismail Rizalafande Che
Published: July 2022

3D(Dimension) understanding has become the herald of computer vision and graphics research in the era of technology. It benefits many applications such as autonomous cars, robotics, and medical image processing. The pros and cons of 3D detection bring convenience to the human community instead of 2D detection. The 3D detection consists of RGB (Red, Green and Blue) colour images and depth images which are able to perform better than 2D in real. The current technology is relying on the high costing light detection and ranging (LiDAR). However, the use of Microsoft Kinect has replaced the LiDAR systems for 3D detection gradually. In this project, a Kinect camera is used to extract the depth of image information. From the depth images, the distance can be defined easily. As in the colour scale, the red colour is the nearest and the blue colour is the farthest. The depth image will turn black when reaching the limitation of the Kinect camera measuring range. The depth information collected will be trained with deep learning architecture to perform a real-time distance prediction.
The influence of tool’s surface topography on mechanical properties of injection moulded product
Authors: Ovsik Martin , Stanek Michal , Dockal Adam , Reznicek Martin
Published: July 2022

This publication deals with influence of tool topography (injection mould) on properties of a product. Surface of the mould was machined by various finishing technologies (milling, grinding, polishing and electrical discharge machining) which resulted in varying surface quality of the tool. The tested topography had an effect on the flow length of polymer and topographical and mechanical properties of the specimen. Examined properties (surface topography and mechanical properties) were measured in several places along the length of the product (starting at the gate and finishing at the end of the specimen). The results show that increase of the tool’s surface roughness leads to longer flow length. These findings disprove the necessity for polishing of each and every shaping part of the mould when manufacturing non-visual products. Thus, from economical and manufacturing perspective the milled or grinded tool surfaces are sufficient. Furthermore, replication of the tool’s topography is non-homogenous, which results in varying mechanical properties throughout the product. The discrepancy in mechanical properties along the length of the product is caused by differing cooling speeds in the mould. In practice, guided cooling can be used to achieve varying mechanical properties in desired places of the injected article. For example, highly stressed parts can be manufactured with the goal of having improved mechanical properties in specific places of the product. Future application of these findings poses a significant benefit for industrial practice, as it could lower the manufacturing cost of the injection mould in order of tens of percent.
Optimal charging of a superconducting quantum battery
Authors: Hu Chang-Kang , Qiu Jiawei , Souza Paulo J P , Yuan Jiahao , Zhou Yuxuan , Zhang Libo , Chu Ji , Pan Xianchuang , Hu Ling , Li Jian , Xu Yuan , Zhong Youpeng , Liu Song , Yan Fei , Tan Dian , Bachelard R , Villas-Boas C J , Santos Alan C , Yu Dapeng
Published: July 2022

Quantum batteries are miniature energy storage devices and play a very important role in quantum thermodynamics. In recent years, quantum batteries have been extensively studied, but limited in theoretical level. Here we report the experimental realization of a quantum battery based on superconducting qutrit. Our model explores dark and bright states to achieve stable and powerful charging processes, respectively. Our scheme makes use of the quantum adiabatic brachistochrone, which allows us to speed up the battery ergotropy injection. Due to the inherent interaction of the system with its surrounding, the battery exhibits a self-discharge, which is shown to be described by a supercapacitor-like self-discharging mechanism. Our results paves the way for proposals of new superconducting circuits able to store extractable work for further usage.
Factorizations of Almost Simple Groups with a Solvable Factor, and Cayley Graphs of Solvable Groups
Authors: Li Cai Heng , Xia Binzhou
Published: July 2022

A characterization is given for the factorizations of almost simple groups with a solvable factor. It turns out that there are only several infinite families of these nontrivial factorizations, and an almost simple group with such a factorization cannot have socle exceptional Lie type or orthogonal of minus type. The characterization is then applied to study

s
s

-arc-transitive Cayley graphs of solvable groups, leading to a striking corollary that, except for cycles, a non-bipartite connected

3
3

-arc-transitive Cayley graph of a finite solvable group is necessarily a normal cover of the Petersen graph or the Hoffman-Singleton graph.
Nondifferential Treatment Misclassification Biases Toward the Null? Not a Safe Bet for Active Comparator Studies
Authors: Ross Rachael K , Su I-Hsuan , Webster-Clark Michael , Jonsson Funk Michele
Published: July 2022

Active comparator studies are increasingly common, particularly in pharmacoepidemiology. In such studies, the parameter of interest is a contrast (difference or ratio) in the outcome risks between the treatment of interest and the selected active comparator. While it may appear treatment is dichotomous, treatment is actually polytomous as there are at least 3 levels: no treatment, the treatment of interest, and the active comparator. Because misclassification may occur between any of these groups, independent nondifferential treatment misclassification may not be toward the null (as expected with a dichotomous treatment). In this work, we describe bias from independent nondifferential treatment misclassification in active comparator studies with a focus on misclassification that occurs between each active treatment and no treatment. We derive equations for bias in the estimated outcome risks, risk difference, and risk ratio, and we provide bias correction equations that produce unbiased estimates, in expectation. Using data obtained from US insurance claims data, we present a hypothetical comparative safety study of antibiotic treatment to illustrate factors that influence bias and provide an example probabilistic bias analysis using our derived bias correction equations.
Enhancement of PET degradation by PET depolymerase with the microbe addition
Authors: Saito Hiroki , Ueda Mitsuyoshi , Aoki Wataru
Published: July 2022

The degradation of polyethylene terephthalate (PET) by modified PET depolymerase has recently attracted much attention. We found that mixing a PET depolymerase with non-genetically modified Thermus sp. can enhance its PET-degrading activity by 7.7-fold. This approach is attractive for constructing a sustainable PET recycling system.
Dual Liminars: Teenagers and Young People with a Family Member in Prison
Authors: Deacon Kirsty
Published: July 2022

Young people’s voices are rarely heard within research or policy discourse, including in respect of familial imprisonment. This article centralizes their voices and specific experiences of parental and/or sibling imprisonment by drawing on in-depth interviews with 17 young people aged 17–25 at the time of interview, though also reflecting back on when they were younger. Drawing on the concept of liminality, and specifically dual liminality, it argues that in order to fully recognize and understand these experiences, we must consider the interactions between the multiple forms of liminality they are subject to – in places, as people with a family member in prison and as adolescents – in order to understand their experiences as the family member of a prisoner and as young people.
Pharmacokinetics of Ribavirin in the Treatment of Lassa Fever: An Observational Clinical Study at the Irrua Specialist Teaching Hospital, Edo State, Nigeria
Authors: Groger Mirjam , Akhideno Peter , Kleist Christine J , Babatunde Femi O , Edeawe Osahogie , Hinzmann Julia , Akhigbe ThankGod , Nwatuzor Joy , Eifediyi Gloria , Müller Jonas , Hinrichs Mette , Pahlmann Meike , Sarpong Francisca Naana , Wagner Christine , Thielebein Anke , Aihonwalan Louis , Koch Till , Riedner Maria , Ogbaini-Emovon Ephraim , Okogbenin Sylvanus , Günther Stephan , Wicha Sebastian G , Ramharter Michael , Oestereich Lisa , Duraffour Sophie , Erameh Cyril
Published: July 2022

Background

Lassa fever is endemic in large parts of West Africa. The recommended antiviral treatment is ribavirin. Two treatment regimens are currently endorsed in Nigeria: the “McCormick regimen” based on a study published in 1986 and the “Irrua regimen” constituting a simplified schedule developed at the Irrua Specialist Teaching Hospital, Nigeria. Evidence for the safety and efficacy of ribavirin in Lassa fever patients is poor and pharmacokinetic data for both regimens are lacking

Methods

Polymerase chain reaction-confirmed Lassa fever patients with mild to moderate disease severity were invited to participate in this prospective, observational pharmacokinetic study. Pharmacokinetics of ribavirin, clinical, virologic, and clinical laboratory parameters were assessed.

Results

Using a population pharmacokinetic approach, plasma concentrations of ribavirin were best described by a 3-compartment model. Drug exposure was remarkably consistent between participants. Overall, drug clearance was 28.5% lower in female compared with male participants. Median (5th-95th percentile) time above half maximal inhibitory concentration (IC50) was 37.3% (16.9%–73.1%), 16.7% (8.2%–58.5%), and 9.6% (4.9%–38.4%) on days 1, 7, and 8, respectively. Clinical laboratory parameters indicated reduction of cell damage and development of hemolytic anemia in the course of the treatment period.

Conclusions

This observational study characterizes the pharmacokinetics of ribavirin in the treatment of Lassa fever indicating consistent exposure across patients. Whereas only a short time interval of concentrations above the IC50 implies rather low antiviral efficacy in vivo, the prominent reduction of cell damage markers might point to indirect—potentially anti-inflammatory—effects of ribavirin. The role of ribavirin in the treatment of Lassa fever requires further scrutiny.
Risk Factors for Nontuberculous Mycobacteria Infections in Solid Organ Transplant Recipients: A Multinational Case-Control Study
Authors: Mejia-Chew Carlos , Carver Peggy L , Rutjanawech Sasinuch , Camargo Luis F Aranha , Fernandes Ruan , Belga Sara , Daniels Shay-Anne , Müller Nicolas J , Burkhard Sara , Theodoropoulos Nicole M , Postma Douwe F , van Duijn Pleun J , Fariñas María Carmen , González-Rico Claudia , Hand Jonathan , Lowe Adam , Bodro Marta , Vanino Elisa , Cruz Ana Fernández , Ramos Antonio , Makek Mateja Jankovic , Mjahed Ribal Bou , Manuel Oriol , Kamar Nassim , Calvo-Cano Antonia , Carrasco Laura Rueda , Muñoz Patricia , Rodríguez Sara , Pérez-Recio Sandra , Sabé Núria , Álvarez Regino Rodríguez , Silva José Tiago , Mularoni Alessandra , Vidal Elisa , Alonso-Titos Juana , del Rosal Teresa , Classen Annika Y , Goss Charles W , Agarwal Mansi , López-Medrano Francisco
Published: July 2022

Background

Risk factors for nontuberculous mycobacteria (NTM) infections after solid organ transplant (SOT) are not well characterized. Here we aimed to describe these factors.

Methods

Retrospective, multinational, 1:2 matched case-control study that included SOT recipients ≥12 years old diagnosed with NTM infection from 1 January 2008 to 31 December 2018. Controls were matched on transplanted organ, NTM treatment center, and post-transplant survival greater than or equal to the time to NTM diagnosis. Logistic regression on matched pairs was used to assess associations between risk factors and NTM infections.

Results

Analyses included 85 cases and 169 controls (59% male, 88% White, median age at time of SOT of 54 years [interquartile range {IQR} 40–62]). NTM infection occurred in kidney (42%), lung (35%), heart and liver (11% each), and pancreas transplant recipients (1%). Median time from transplant to infection was 21.6 months (IQR 5.3–55.2). Most underlying comorbidities were evenly distributed between groups; however, cases were older at the time of NTM diagnosis, more frequently on systemic corticosteroids and had a lower lymphocyte count (all P < .05). In the multivariable model, older age at transplant (adjusted odds ratio [aOR] 1.04; 95 confidence interval [CI], 1.01–1.07), hospital admission within 90 days (aOR, 3.14; 95% CI, 1.41–6.98), receipt of antifungals (aOR, 5.35; 95% CI, 1.7–16.91), and lymphocyte-specific antibodies (aOR, 7.73; 95% CI, 1.07–56.14), were associated with NTM infection.

Conclusions

Risk of NTM infection in SOT recipients was associated with older age at SOT, prior hospital admission, receipt of antifungals or lymphocyte-specific antibodies. NTM infection should be considered in SOT patients with these risk factors.