bluuebunny/crossref_metadata_2025_split huggingface dataset:
How important is fire-induced disturbance in the maintenance of a threatened perennial forb,
Authors: Osazuwa Omofomwan Kingsley , Dwyer John Matthew , Fensham Roderick John 
Published: July 2022

Context Many grassland forb populations have greatly diminished because their habitat coincides with prime agricultural land and remnants lack appropriate disturbance regimes. Aim The aim of the current study is to examine the survivorship, vegetative recruitment, biomass and sexual reproduction of S. papaverifolium in response to burning in one of a few natural surviving populations in Queensland. Methods We monitored the survivorship, vegetative recruitment, and reproduction of a rare native forb, Solanum papaverifolium, within a randomised replicated experiment by using 14 circular plots measuring 12.56 m2 (2 m radius). Key results Plant survival rate after 5 months was greater in the burnt plots (56%) than the unburnt plots (44%). Vegetative recruitment from suckers in the burnt plots was almost twice that in the unburnt plots. The probability of flowering was also enhanced by burning. Fruit set in new recruits was higher in the burnt plots (20%) than in the unburnt plots (5%). Whereas fruiting did not occur in unburnt plots for surviving plants that flowered, only 1% fruited in the burnt plots. Seedling production was not observed. Conclusion Previous studies have demonstrated that the subtropical grassland flora in the study region is unaffected by burning, whereas the present study suggests that some grassland species respond positively to burning. Implications Although fire increased flowering in this species, suggesting that fire may be a useful tool to stimulate sexual reproduction, ongoing research is required to understand the precise factors that promote flowering after burning and the barriers to seedling reproduction.
PRD-2 mediates clock-regulated perinuclear localization of clock gene RNAs within the circadian cycle of
Neurospora
Authors: Bartholomai Bradley M. , Gladfelter Amy S. , Loros Jennifer J. , Dunlap Jay C. 
Published: July 2022

The transcription–translation negative feedback loops underlying animal and fungal circadian clocks are remarkably similar in their molecular regulatory architecture and, although much is understood about their central mechanism, little is known about the spatiotemporal dynamics of the gene products involved. A common feature of these circadian oscillators is a significant temporal delay between rhythmic accumulation of clock messenger RNAs (mRNAs) encoding negative arm proteins, for example,
frq
in
Neurospora
and
Per1-3
in mammals, and the appearance of the clock protein complexes assembled from the proteins they encode. Here, we report use of single-molecule RNA fluorescence in situ hybridization (smFISH) to show that the fraction of nuclei actively transcribing the clock gene
frq
changes in a circadian manner, and that these mRNAs cycle in abundance with fewer than five transcripts per nucleus at any time. Spatial point patterning statistics reveal that
frq
is spatially clustered near nuclei in a time of day–dependent manner and that clustering requires an RNA-binding protein, PRD-2 (PERIOD-2), recently shown also to bind to mRNA encoding another core clock component, casein kinase 1. An intrinsically disordered protein, PRD-2 displays behavior in vivo and in vitro consistent with participation in biomolecular condensates. These data are consistent with a role for phase-separating RNA-binding proteins in spatiotemporally organizing clock mRNAs to facilitate local translation and assembly of clock protein complexes.
Study of EIT line shape in optically thin and thick media using 87Rb D1 and D2 lines: theory and experiment
Authors: Das Chandan , Dey Sekhar , Ray Biswajit 
Published: July 2022

Abstract
In this work, we have presented the variation of the amplitude of electromagnetically induced transparency (EIT) resonances with the density of the atom in a V-type system using 87Rb D1 and D2 lines both theoretically and experimentally. Up to the value of atomic density 18.1 × 1010 cm−3, the amplitude of the EIT resonance gradually increases with the increase of atomic density and then it decreases with the increase of the density of the atom. We have also found the radiation trapping effect in this experiment. We observe the effect of the atomic density on the electromagnetically induced transparency when the systems act as a thin optical media as well as thick optical media. We have found that the amplitude of EIT also depends on pump laser Rabi frequency. Numerical simulations are agreed well with the experimental observations.
Efficient ILC analysis on polarization maps after EB leakage correction
Authors: Zhang Zirui , Liu Yang , Li Si-Yu , Wu De-Liang , Li Haifeng , Li Hong 
Published: July 2022

Abstract
The Internal Linear Combination (ILC) is widely used to extract the cosmic microwave background (CMB) signal from multi-frequency observation maps, especially for Satellite experiments with quasi-full sky coverage. We extend ILC method to CMB polarization map analysis with a small sky patch which is especially typical for ground-based experiments, by combing ILC with a template cleaning method which can give pure B map free from EB leakage caused by partial sky coverage. The feature of our methods is that we do the ILC analysis on pseudo-scalar B maps, and the advantage is that it totally avoids the impact of EB leakage on ILC, so that it can improve the efficiency of component separation dramatically. We demonstrate our methods with mock data of a future ground-based experiment with a deep survey on a clean patch in the northern sky, and the results show that the level of foreground residual can be well controlled, it biases the tensor to scalar ratio (r) at the order of 10-3 which is comparable to the statistical error by noise.
Glauber gluon effects in soft collinear factorization
Authors: Zhou Gao-Liang , Yan Zheng-Xin , Zhang Xin , Li Feng 
Published: July 2022

Abstract
Effects of Glauber gluons, which cause the elastic scattering process between different jets, are studied in the frame of soft-collinear effective theory. Glauber modes are added into the action before being integrated out, which is helpful in studies on the Glauber couplings of collinear and soft particles. It is proved that the final state interactions cancel out for processes inclusive enough. So are interactions with the light cone coordinates x
+ and x
− greater than those of the hard collision. The eikonalization of Glauber couplings of active particles and absorption of these couplings into soft and collinear Wilson lines are discussed, which is related to the loop level definitions of Glauber gluons here. The active-spectator coherence is proved to be harmless to the inclusive summation of spectator-spectator and spectator-soft Glauber exchanges. Based on this result, spectator-spectator and spectator-soft Glauber exchanges cancel out in the processes considered here. Graphic aspects of the cancellation are also discussed to explain relations between the graphic and operator level cancellation of Glauber gluons.
Gravitational Wave Detection Based on Squeeze-and-excitation Shrinkage Networks and Multiple Detector Coherent SNR
Authors: Yan Rui-Qing , Liu Wei , Yin Zong-Yao , Ma Rong , Chen Si-Ying , Hu Dan , Wu Dan , Yu Xian-Chuan 
Published: July 2022

Abstract
Deep learning techniques have been applied to the detection of gravitational wave signals in the past few years. Most existing methods focus on the data obtained by a single detector. However, the signal-to-noise ratio (SNR) of gravitational wave signals in a single detector is pretty low, making it hard for deep neural networks to learn effective features. Therefore, how to use the observation signals obtained by multiple detectors in deep learning methods is a serious issue. We simulate binary neutron star signals from multiple detectors, including the Advanced LIGO and Virgo detectors. We calculate coherent SNR of multiple detectors using a fully coherent all-sky search method and obtain the coherent SNR data required for our proposed deep learning method. Inspired by the principle of attention network Squeeze-and-Excitation Networks (SENet) and the soft thresholding shrinkage function, we propose a novel Squeeze-and-Excitation Shrinkage (SES) module to better extract effective features. Then we use this module to establish a gravitational wave squeeze-and-excitation shrinkage network (GW-SESNet) detection model. We train and validate the performance of our model on the coherent SNR data set. Our model obtains satisfactory classification accuracy and can excellently complete the task of gravitational wave detection.
Flexural bending to approximate cortical forces exerted by electrocorticography (ECoG) arrays
Authors: Witham Nicholas S , Reiche Christopher F , Odell Thomas , Barth Katrina , Chiang Chia-Han , Wang Charles , Dubey Agrita , Wingel Katie , Devore Sasha , Friedman Daniel , Pesaran Bijan , Viventi Jonathan , Solzbacher Florian 
Published: July 2022

Abstract

Objective. The force that an electrocorticography (ECoG) array exerts on the brain manifests when it bends to match the curvature of the skull and cerebral cortex. This force can negatively impact both short-term and long-term patient outcomes. Here we provide a mechanical characterization of a novel liquid crystal polymer (LCP) ECoG array prototype to demonstrate that its thinner geometry reduces the force potentially applied to the cortex of the brain. Approach. We built a low-force flexural testing machine to measure ECoG array bending forces, calculate their effective flexural moduli, and approximate the maximum force they could exerted on the human brain. Main results. The LCP ECoG prototype was found to have a maximal force less than 20% that of any commercially available ECoG arrays that were tested. However, as a material, LCP was measured to be as much as 24× more rigid than silicone, which is traditionally used in ECoG arrays. This suggests that the lower maximal force resulted from the prototype’s thinner profile (2.9×–3.25×). Significance. While decreasing material stiffness can lower the force an ECoG array exhibits, our LCP ECoG array prototype demonstrated that flexible circuit manufacturing techniques can also lower these forces by decreasing ECoG array thickness. Flexural tests of ECoG arrays are necessary to accurately assess these forces, as material properties for polymers and laminates are often scale dependent. As the polymers used are anisotropic, elastic modulus cannot be used to predict ECoG flexural behavior. Accounting for these factors, we used our four-point flexure testing procedure to quantify the forces exerted on the brain by ECoG array bending. With this experimental method, ECoG arrays can be designed to minimize force exerted on the brain, potentially improving both acute and chronic clinical utility.
Contrived Motorization of Vehicle through Advanced Android Administration
Authors: Suman Sk , Kundu Dip Kumar , Ray Utsab , Basu Soumik , Neogi Biswarup , Sarkar Indranath 
Published: July 2022

Abstract
In this paper A mobile application has been developed that can fetch various information about a car through various sensors interfaced with a microcontroller NodeMCU and the collected data uploaded to the cloud through raspberry pi server. NodeMCU sends signals to Raspberry pi to store the data in the cloud so that the mobile application developed may receive all these sensory signals and alert the passengers and driver. The proposed model also includes a feature to detect an accident and send the location of the accident to the user assigned person and local police station as a mobile message. In addition, the mobile application shall alert the driver to keep away from high speed vehicles coming from the rear side, present location of the car through google API, identify the road condition through pi camera interfacing and advise the upper speed limit, spray liquid nitrogen to reduce the temperature of tyres in the safe range of temperature, detect the driver status of drowsiness or alcoholic, detect the air quality about the harmful gas levels inside the car.
Multi sensor based smart medical ring for health monitoring system
Authors: Paul Bidisha , Chakraborty Bishal , Dhar Abhishek , Adhikari Saurabh , Saha Sourav , Biswas Papun , Das Partha , Das Sudip , Pal Biswamoy , Ray Partha , Sasmal Milan 
Published: July 2022

Abstract
Now a days the smart device put a huge impact on medical field rapidly. In 20st century everyone concerns about their health to fight with this pandemic. A smart medical ring has been discovered to ensure proper treatment of some health issues. There are so many devices available in the wearable technology market like smart watch, smart mask etc. This device will help to measure the temperature, oxygen level andpulse rate all together. Objective of this project is to combine the features of thermometer and pulse oximeter into a single device with a reducible size compare to other available devices so that anyone can use this device in any place at any time and also can wear the ring in his/her finger. Here two sensors are implemented to measure these three different parameters. The thermometer and the pulse oximeter are most required measuring tools in our daily life to check the common health parameters. That’s why this smart medical ring has been discovered by the researchers to help the common people and medical field.
Even Odd Oscillation in Tunnelling Magneto Resistance of Transition metal doped Metallo Porphyrin systems
Authors: Bhowmick Rinki , Chakraborty Jit , Mitra Shankar Prasad , Biswas Ajit , Maiti Swarnendu , Dutta Tanmoy , Koley Sayantanu , Chattopadhyaya Mausumi , Sen Sabyasachi 
Published: July 2022

Abstract
Herein we report variation in Tunnelling magneto resistance (TMR) of TM-porphyrin against increase in d electrons from n=1 to 8; as the transition metal changes across the periodic table from Sc to Ni. We observed that highest value of TMR is observed for d5 system the TMR becomes gigantic (1022) at the equilibrium and on either side of it we need to apply certain amount of energy to reach appreciable TMR. An even-odd oscillation of TMR is observed against the number of electrons in d orbital. We also observed that with even number of d electrons TMR values is on lower side and in many cases below the accepted range (150%) of an efficient TMR device. In fact, to achieve an acceptable range we need to apply relatively larger energy (as large as 0.7 eV for Ni) probably due to preference of low spin states in presence of even number of electrons in an atom. Observed feature has been explained using molecular orbital obtained in each case.
A Review on forecasting the photovoltaic power Using Machine Learning
Authors: Mittal Amit Kumar , Mathur Dr. Kirti , Mittal Shivangi 
Published: July 2022

Abstract
In this review paper on different forecasting method of the solar power output for effective generation of the power grid and proper management of transfer rate of energy per unit area occurred into the solar PV system. Essential part in focusing the prediction of solar power is irradiance and temperature. The irradiance can be forecasted by many algorithm and method is applied in prediction of generation of Short-term photovoltaic power and long term solar power forecasting. And many papers describes on numerical weather forecasting and some algorithm like neural networks or support vector regression for two step approach for predicting the PV power. In this review shown that methods like Bagging Model, deep learning, genetic algorithm, random forest, gradient boosting and artificial neural network. We found that for enhancing the performance of predicting PV power many authors proposed the ensemble method that is the hybrid models of different algorithm. And I found that on this review process ensemble methods show that good results and improve the forecasting solar PV power.
Detection and Classification of Lung Carcinoma using CT scans
Authors: Balannolla Sneha , Kousar Nikhath Dr. A. , Yeruva Dr. Sagar 
Published: July 2022

Abstract
Lung carcinoma, generally known as lung cancer, is the most common cause of cancer which is related to mortality worldwide. Lung carcinoma is an extremely complex problem to solve and Lung cancer patients appear to be the most vulnerable to SARS-CoOVID-19 infection early discovery, on the other hand, has a high rate of survivability. Lung carcinoma detection in computed tomography (CT) has emerged as an emerging research subject in the field of medical imaging systems in recent years. The ability to accurately detect the size and location of lung cancer plays a critical role in lung cancer diagnosis. As a result, there is a requirement to rapidly read, detect, classify and evaluate CT scans. In this paper, we suggest a method for detecting and classifying lung nodules (or lesions) using a multi-strategy system. It has two parts: nodule detection (finding nodules) and classification (classifying nodules into Benign / non-cancerous or Malignant / cancerous). Lung CT scan images are utilized to detect and classify lung nodules in this work. U-Net architecture is used to segment CT scans, while VGG Net is tested on 3D images derived from LUNA 16 and LIDC - IDRI. The U-Net and the VGG-Net results are combined in the final findings.
Remote Sensing Image Encryption and Error Detection using Hamming Code
Authors: Patra Anirban , Das Mainuck , Ghosal Anirban , Ghosh Aniruddha , Kushary Indranil , Roy Samiran , Chakraborty Debasish 
Published: July 2022

Abstract
Encryption of remote sensing images is always required as this type of images carry sensitive data. It is the primary criteria to hide it in case of a country’s border image or video. Nowadays development in networking improves communication systems. Unfortunately, intruders are misusing this advantage and try to intrude into the network whose security is weak. During secure communication of remote sensing images, encryption is done before sending to a long distance. Here, we have discussed a new method of remote sensing image encoding with the help of hamming code. During analyzation, we have showed that it is not easy to decode the main image from encrypted data in the most popular mode of attacking- known plaintext attack. Moreover, we have also calculated that this system can detect the error in an effective way. The presented method is also applicable for effective encryption of more than one remote sensing images.
Design & Analysis of a PV-Piezoelectric based Off-grid Energy Harvester in Tripura
Authors: Deb Anindita , Debnath Debika , Saha Joy 
Published: July 2022

Abstract
In recent years the realization and growing awareness of energy consumers regarding the environmental issues, economic and climatic challenges have accelerated a strong sustain impact in developing power technologies. To mitigate the detrimental impacts of the conventional energy resources, this paper provides an idea about an off-grid, distributed solar-piezo power generating technique usable for residential & isolated area applications. The primary power is supplied by the solar panel, and the subordinate power can be added by the produced energy from the piezoelectric modules, and the battery model is employed for continuous power supply in the suggested hybrid renewable power system.Furthermore, the dc-dc boost converter for PV and piezoelectric modules is designed to connect two power inputs in parallel. The present study focuses upon the design of the proposed system & scopes of the proposed system in Tripura, a hilly state in the North-Eastern Province of India.Tripura has ranked 56th amongst 100 smart cities in the countryaccording to Smart City rankings released in July 2020 & also 1st among all the North-Eastern states. Thus, the motto of the paper is to draw attention towards implementation of green energy harvesting techniques in Tripura which will certainly help to mitigate the techno-economic barriers in the region &successfully mitigating the energy requirements. The modelling and simulation of the proposed hybrid arrangement has been carried out in MATLAB/SIMULINK. The analysis of the proposed system portrays the effectiveness of the proposed system.
Physics didactics course for future teachers in the MS TEAMS environment
Authors: Greczyło Tomasz , Bryl Robert 
Published: July 2022

Abstract
The paper presents and discusses examples of activities associated with Physics didactics course for future teachers held at University of Wroclaw with use of MS TEAMS environment. Authors describe the course and illustrate it with examples of certain students’ activities. In some details, based on case study observations we picture advantages and disadvantages of delivering the course as online educational action.
Distance Learning and Multimedia Teaching Education: E-Laboratory Activities during Covid-19 Pandemic
Authors: Fiore Oriana , Adesso Maria Giuseppina , Capone Roberto 
Published: July 2022

Abstract
During the COVID-19 pandemic lockdown, Italian schools and Universities were closed. In this scenario, teachers, in order to continue their work, had to manage the didactics by themselves, carrying out Distance Learning, thanks to the technology support. Nevertheless, teachers had some methodological and technical difficulties. This situation required the replanning of some physics contents, trying to include laboratory activities, too. A teachers’ training was organized in order to support the teachers both for effective and meaningful use of ICT and to carry out some laboratory activities in Distance Learning mode. The training aimed to investigate leading technologies relevant to physics teaching, the competencies that a physics teacher has to acquire to use digital technologies, and the effective approaches to develop these competencies. The course was organized into four webinars, timing 10 hours. Teachers became confident with ICT for communication, sharing, and documentation. Moreover, teachers approached the IBSE methodology, as modified by adding a further E-laboratory phase to the 5E cycle, promoted by Bybee, by planning a learning chunk, including a laboratory activity in synchronous e-learning mode. 20 High School Physics teachers were involved in the training.
Augmented Reality Active Learning (AnReAL) activities for teaching/learning motion concepts
Authors: Rosi Tommaso , Onorato Pasquale , Oss Stefano 
Published: July 2022

Abstract
From a physicist point of view, Virtual Reality setups are high-precision, low-cost, 6 degrees-of-freedom, high-speed, multiple-objects tracking devices. These setups prove to be very high-quality sensors that are well suited to be used in the physics laboratory for tracking in motion experiments. Augmented Reality can be achieved by attaching a stereo to the headset to allow students to see the 3D tracking of the experiment in the physical world. A series of Augmented Reality Active Learning (AnReAL) activities are presented, while also comparing this setup to more traditional ones, i.e. ultrasonic motion sensors and video tracking analysis software. Virtual and augmented reality setups, such as the presented one, are likely to prove very beneficial for information retention, following the emerging theory of embodied cognition.
Chaos Physics in High School – Challenges in Multimedia Application
Authors: Bajkó Ildikó 
Published: July 2022

Abstract
Besides being an active field of research, chaotic phenomena are also encountered in our everyday life, thus it’s worth discussing them also in formal education in public schools. This paper presents the authors’ experiences in teaching chaos on secondary level. A teaching module that encompasses mechanics lab experiments and numerical simulations of typical chaotic systems have been implemented and evaluated. The module offers a number of multimedia applications whose availability in teacher education is also discussed.