bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two-brightness-amplifier imaging system for energetic-materials-combustion study
Authors: Gubarev F. A. , Moldabekov A. S. , Mostovshchikov A. V. , Li L. 
Published: May 2021

This paper discusses a laser monitor with two channels for acquiring images synchronized in time and its use for visualizing the surface of metal nanopowders during combustion. Each channel is an independent optical system based on a copper bromide vapor brightness amplifier and a high-speed camera that allows visualizing a specified area of the sample. Thus, the laser monitor allows real-time imaging of the same sample area with different spatial resolutions and simultaneously two areas of the sample. In comparison with the “master oscillator–power amplifier” system and a bistatic laser monitor in the proposed system, the radiation pulses of the brightness amplifiers are synchronized in such a way that the inversion in the active media is formed at different time intervals. Such a system makes it possible to register processes in one area of the sample in the mode of double frames with a time shift of 35 ns. As an additional option in the proposed system, it is possible to implement a laser illumination mode in which an additional camera is used with a narrow-band filter installed on it for the emission wavelength of brightness amplifiers, and the same radiation from the brightness amplifier is used as an illuminating light source. The proposed technique was used to visualize the combustion of aluminum nanopowders without additives in real time in the area of laser initiation with different spatial resolutions and nanoAl + microAl + microFe powder mixtures in the laser ignition area and the adjacent area of the sample simultaneously as the combustion wave propagates.
Impaired inhibitory GABAergic synaptic transmission and transcription studied in single neurons by Patch-seq in Huntington’s disease
Authors: Paraskevopoulou Foteini , Parvizi Poorya , Senger Gökçe , Tuncbag Nurcan , Rosenmund Christian , Yildirim Ferah 
Published: May 2021

Significance
Although the genetic basis of HD is known, the molecular mechanisms underlying neuronal dysfunction remain unclear. Combining electrophysiological and transcriptional analyses of single neurons (Patch-sequencing [Patch-seq]), this study connects transcriptional dysregulation and synaptic transmission deficits, two key disease features, in HD. We identify a number of genes whose expression changes are correlated with physiological deficiencies in mutant Htt neurons. We validate the use of the Patch-seq system for screening and identifying potential therapeutic interventions. We show that pharmacological inhibition of an epigenetic regulator rectifies several functional, morphological, and transcriptional deficits in mutant neurons. This work suggests previously unknown gene–neuronal function relationships as potential targets in HD and also highlights advances in single-cell transcriptomics and their use in understanding human disease.
Immune evasion in HPV−head and neck precancer–cancer transition is driven by an aneuploid switch involving chromosome 9p loss
Authors: William William N. , Zhao Xin , Bianchi Joy J. , Lin Heather Y. , Cheng Pan , Lee J. Jack , Carter Hannah , Alexandrov Ludmil B. , Abraham Jim P. , Spetzler David B. , Dubinett Steven M. , Cleveland Don W. , Cavenee Webster , Davoli Teresa , Lippman Scott M. 
Published: May 2021

SignificanceWe report somatic copy-number alterations (SCNAs) that contribute to an immune microenvironment switch during human papillomavirus-negative head and neck cancer (HNSC) development. Specific and nonspecific SCNA levels were examined in a large prospective oral precancer (188 patients) cohort, 2 HNSC (343, 196 patients) cohorts, and 32 cell lines. Chromosome 9p21.3 loss in precursor lesions, the genomic driver of malignant transition, was enhanced by cumulative 9p-arm gene-dosage decreases, cell-intrinsic senescence suppression, and extrinsic decreases in chemokine, cytokine, and NF-κB pathways. Furthermore, 9p-arm loss andJAK2-PD-L1codeletion were associated with PD-1 inhibitor resistance. These data reveal an oncogenic immune paradox, aneuploid checkpoint to neoplastic transformation, and immune interception and therapeutic strategies for HPV−HNSC and possibly other CN-driven tumors or diseases.
One-trial perceptual learning in the absence of conscious remembering and independent of the medial temporal lobe
Authors: Squire Larry R. , Frascino Jennifer C. , Rivera Charlotte S. , Heyworth Nadine C. , He Biyu J. 
Published: May 2021

Significance
Studies of memory have established a distinction between ordinary recollection of the past (declarative memory), which depends on medial temporal lobe (MTL) structures and other (nondeclarative) forms of memory that are expressed through performance and depend on other brain systems. One phenomenon that has eluded classification is one-trial perceptual learning, whereby a degraded image of an object, which is difficult to identify, becomes recognizable after a single exposure to the original image. This effect was fully intact in memory-impaired patients with hippocampal or larger MTL lesions and persisted undiminished for more than 5 mo, despite impaired memory for the test format and the images themselves. Perceptual learning is MTL-independent (nondeclarative) and occurs without a requirement to consciously remember.
Distinct pacing profiles result in similar perceptual responses and neuromuscular fatigue development: Why different “roads” finish at the same line?
Authors: Azevedo Rafael de Almeida , Silva‐Cavalcante Marcos David , Cruz Ramon , Couto Patrícia , Lima‐Silva Adriano E. , Bertuzzi Romulo 
Published: May 2021

ABSTRACTThe current study analysed the effect of distinct pacing profiles (i.e. U, J, and inverted J) in the perceptual responses and neuromuscular fatigue (NMF) development following a 4‐km cycling time trial (TT). Twenty‐one cyclists with similar training status were allocated into three different groups based on their pacing profile spontaneously adopted during TT. Rating of perceived exertion (RPE), oxygen uptake (⩒O2) and heart rate (HR) were continuously recorded. NMF was assessed by using isometric maximal voluntary contractions (IMVC), while the central [i.e. voluntary activation (VA)] and peripheral fatigue of knee extensors [i.e. peak torque of potentiated twitches (TwPt)] were evaluated using electrically evoked contractions performed pre and 2 min after the TT. TT performance was not different amongst pacing profiles (U = 377 ± 20 s; J = 392 ± 23 s; J‐i = 381 ± 20 s) (all P > 0.05). RPE, ⩒O2 and HR increased similarly throughout the TT regardless the pacing strategy (all P > 0.05). Similarly, IMVC (U = −9.9 ± 8.8; J = −9.6 ± 4.5%; J‐i = −13.8 ± 11.3%), VA (U = −2.3 ± 1.7%; J = −5.4 ± 2.2%; J‐i = −6.4 ± 4.5%) and TwPt (U = −32.5 ± 12.0%; J = −29.5 ± 8.0%; J‐i = −33.6 ± 13.6%) were similar amongst pacing profiles (all P > 0.05). Therefore, endurance athletes with similar training status showed the same perceived responses and NMF development regardless the pacing profile spontaneously adopted. It was suggested that these responses occurred in order to preserve a similar rate of change in systemic responses (i.e. RPE, ⩒O2 and HR) and NMF development, ultimately resulting in same TT performance.

Highlights
Different pacing profiles resulted in the same performance in a 4‐km cycling time trial.
The similar performance might be due to achievement of the same sensory tolerance limit.
There was no difference for perceptual, metabolic and neuromuscular fatigue responses.
Highly efficient second harmonic generation of thin film lithium niobate nanograting near bound states in the continuum
Authors: Huang Zhijin , Wang Mengjia , Li Yang , Shang Jumei , Li Ke , Qiu Wentao , Dong Jiangli , Guan Heyuan , Chen Zhe , Lu Huihui 
Published: May 2021

Abstract
Bound states in the continuum (BICs) are ubiquitous physical phenomena where such states occur due to strong coupling between leaky modes in side lossy systems. BICs in meta-optics and nanophotonics enable optical mode confinement to strengthen local field enhancement in nonlinear optics. In this study, we numerically investigate second-harmonic generation (SHG) in the vicinity of BICs with a photonic structure comprising one-dimensional nanogratings and a slab waveguide made of lithium niobate (LiNbO3, LN). By breaking the symmetry of LN nanogratings, BICs transition to quasi-BICs, which enable strong local field confinement inside LN slab waveguide to be supported, thereby resulting in improving SHG conversion with lower pump power of fundamental frequency (FW). With a peak intensity of 1.33 GW cm−2 at the FW, our structure features a second-harmonic conversion efficiency up to 8.13 × 10−5 at quasi-BICs. We believe that our results will facilitate the application of LN in integrated nonlinear nanophotonic.
Strong boundary and trap potential effects on emergent physics in ultra-cold fermionic gases
Authors: Hauck J B , Honerkamp C , Kennes D M 
Published: May 2021

Abstract
The field of quantum simulations in ultra-cold atomic gases has been remarkably successful. In principle it allows for an exact treatment of a variety of highly relevant lattice models and their emergent phases of matter. But so far there is a lack in the theoretical literature concerning the systematic study of the effects of the trap potential as well as the finite size of the systems, as numerical studies of such non periodic, correlated fermionic lattices models are numerically demanding beyond one dimension. We use the recently introduced real-space truncated unity functional renormalization group to study these boundary and trap effects with a focus on their impact on the superconducting phase of the 2D Hubbard model. We find that in the experiments not only lower temperatures need to be reached compared to current capabilities, but also system size and trap potential shape play a crucial role to simulate emergent phases of matter.
A Bayesian interpretation of inconsistency measures in cosmology
Authors: Lin Weikang , Ishak Mustapha 
Published: May 2021

Abstract
Measures of inconsistency and tension between datasets have become an essential part of cosmological analyses. It is important to accurately evaluate the significance of such tensions when present. We propose here a Bayesian interpretation of inconsistency measures that can extract information about physical inconsistencies in the presence of data scatter. This new framework is based on the conditional probability distribution of the level of physical inconsistency given the obtained value of the measure. We use the index of inconsistency as a case study to illustrate the new interpretation framework, but this can be generalized to other metrics. Importantly, there are two aspects in the quantification of inconsistency that behave differently as the number of model parameters increases. The first is the probability for the level of physical inconsistency to reach a threshold which drops with the increase of the number of parameters under consideration. The second is the actual level of physical inconsistency which remains rather insensitive to such an increase in parameters. The difference between these two aspects is often overlooked, which leads to a long-standing ambiguity: when a given inconsistency is found between two constraints, its “significance” seems to be lower when considered in a higher-dimensional parameter space. This ambiguity is resolved by the Bayesian interpretation we introduce in this work because the conditional probability distribution includes all the statistical information of the level of physical inconsistency. Finally, we apply the Bayesian interpretation to examine the (in)consistency between Planck versus the Cepheid-based local measurement, the Dark Energy Survey (DES), the Atacama Cosmology Telescope (ACT) and WMAP. We confirm and revisit the degrees of previous physical inconsistencies and show the stability of the new interpretation with respect to the number of cosmological parameters compared to the commonly used n-σ interpretation when applied to cosmological tensions in multi-parameter spaces.
Could PBHs and secondary GWs have originated from squeezed initial states?
Authors: Ragavendra H.V. , Sriramkumar L. , Silk Joseph 
Published: May 2021

Abstract
Recently, the production of primordial black holes (PBHs) and
secondary gravitational waves (GWs) due to enhanced scalar power on small
scales have garnered considerable attention in the literature.
Often, the mechanism considered to arrive at such increased power involves
a modification of the standard slow roll inflationary dynamics, achieved
with the aid of fine-tuned potentials.
In this work, we investigate another well known method to generate features
in the power spectrum wherein the initial state of the perturbations is
assumed to be squeezed states.
The approach allows one to generate features even in slow
roll inflation with a specific choice for the Bogoliubov coefficients
characterizing the squeezed initial states.
Also, the method is technically straightforward to implement since the
Bogoliubov coefficients can be immediately determined from the form
of the desired spectrum with increased scalar power at small scales.
It is known that, for squeezed initial states, the scalar bispectrum is
strongly scale dependent and the consistency condition governing the scalar
bispectrum in the squeezed limit is violated.
In fact, the non-Gaussianity parameter characterizing the scalar
bispectrum proves to be inversely proportional to the squeezed mode and
this dependence enhances its amplitude at large wave numbers making it
highly sensitive to even a small deviation from the standard Bunch-Davies
vacuum.
These aspects can possibly aid in leading to enhanced formation of PBHs
and generation of secondary GWs.
However, we find that: (i) the desired form of the
squeezed initial states may be challenging to achieve from a dynamical
mechanism, and (ii) the backreaction due to the excited states severely
limits the extent of deviation from the Bunch-Davies vacuum at large wave
numbers.
We argue that, unless the issue of backreaction is circumvented,
squeezed initial states cannot lead to a substantial increase in power
on small scales that is required for enhanced formation of PBHs and generation
of secondary GWs.
An Efficient Approach for Ambulance Tracking System using GPS and GSM
Authors: Banshwar Anuj , Patel Alok , Singh Kawal Preet , Sharma Naveen Kumar , Sharma Bharat Bhushan , Pathak Mohit 
Published: May 2021

Abstract
An ambulance tracking system (ATS) is the need of the hour due to the recent pandemic situation going on around us. It is necessary that patients carrying vehicles such as ambulances must be equipped with the ATS technology. The ATS technology helps the hospital administration to carry out the necessary steps before the patient arrives at the hospital premises. In this technology, Global systems for Mobile communication (GSM) and Global Positioning System (GPS) are used for the efficient working of this device. In this system, a low-cost microcontroller-based electronic device Arduino is used to control the GPS and GSM modules. In this system, modem and display device such as liquid crystal display (LCD) is used at the user end which is also called as Base Station. Information regarding the location of the ambulance is provided by the GPS module. GSM module is used for communicating with the base station. The hospital administration can get the information of the arrival of the ambulance well in time and can increase the chance of survival of the patient as the time required for setting up basic components is done well in advance. This system can also be used for various other vehicles used in emergency situations.
Classification of Power Quality Events - An Inclusive Review
Authors: Sharma Bharat Bhushan , Singh Kawal Preet , Patel Alok , Banshwar Anuj , Sharma Naveen Kumar , Pathak Mohit 
Published: May 2021

Abstract
Power Quality is major issue that has led to large amount of research by the industry and academic experts. The increased uses of the electronics in electrical utilities have created a need of monitoring the power quality and provide the mitigation to enhance the performance of the electrical equipment. With advancement in technologies and availability of various online monitoring tools, it is very important to assess and review these technologies. The increased rate of research in this field is proven to be beneficial to the consumers. Customers are now able to request for better quality of service and making the Power Quality issue more important. This paper provide an inclusive review of various application of signal processing on power quality events, analysis of artificial intelligent techniques to classify the signals and optimization techniques for decision making. The paper also explores the upcoming opportunities for power quality classification and further improvement in terms of higher performance of the electrical equipment.
A Review Analysis on Face Recognition System with User Interface System
Authors: Tripathi Amrendra , Sharma Rahul , Memoria Minakshi , Joshi Kapil , Diwakar Manoj , Singh Prabhishek 
Published: May 2021

AbstractFace recognition is the most advanced way of authentication and authorization and it has been developed a lot since the last decade and such systems are now popular in fields such as security and commerce. This work revolves around facial recognition based automated user management system with active learning features the proposed work uses a combination of a couple of technologies to build such a system for user keeping which is foolproof and secure it also adds active learning to counter the problem of changing faces in youngsters. The system is recommended for schools, universities, corporate offices, and prisons.
Comparing Classical ML Models with Quantum ML Models with Parametrized Circuits for Sentiment Analysis Task
Authors: Joshi Nisheeth , Katyayan Pragya , Ahmed Syed Afroz 
Published: May 2021

Abstract
This paper studies the performance of classical and quantum machine learning models for sentiment analysis task. Here, popular machine learning algorithms viz support vector machine (SVM), gradient boosting (GB) and random forest (RF) are compared with variational quantum classifier (VQC) using two sets of parameterized circuits viz EfficientSU2 and RealAmplitudes. For experimenting with VQC, IBM Quantum Experience and IBM Qiskit were used while for classical machine learning models, scikit-learn was used. It was found that the performance of the VQC was slightly better than popular machine learning algorithms. For our experiments, we have used popular restaurant sentiment analysis dataset. The extracted features from this dataset and then after applying PCA reduced the feature set into 5 features. Quantum ML models were trained using 100 epochs and 150 epochs. Overall, four Quantum ML models were trained and three Classical ML models were trained. The performance of the trained models was evaluated using standard evaluation measures viz, Accuracy, Precision, Recall, F-Score etc. In all the cases EfficientSU2 based model with 100 Epochs performed better than all other models. Efficient SU2 model with 100 epochs produced an accuracy of 74.5% and an F-Score of 0.7605 which were highest across all the trained models.
Smart library automation using face recognition
Authors: Yalagi Pratibha S. , Mane Prachi V. 
Published: May 2021

Abstract
The Library Automation System is gaining more importance as the number of its users is increasing. Automation of libraries reduces the duplication of work, saves time, and brings accuracy and speed. It also increases efficiency in library services and boosts the quality of work. One such effective system is the Smart Library Automation System using Face Recognition. The Proposed system uses face recognition for entering and getting the details of an end user. Through this application, the book gets issued to the end-user by identifying the user with the help of face recognition and identifying the book using barcode capture. In our system, we are using dlib face recognition, which is 99.38% accurate. We have provided the validations on the user registration form so that we get the right information. The registration process captures the face of the user and book issue, and the book return process checks the details of the user. End-users of the application will be librarians, students, and teachers. Our project aims at making the tasks of the library easy and to make the book issuing and returning process more interactive and effortless for the user. Also, our system is responsible for preserving the details of book issue and return and paperless report generation.
Comparative study of Jrip j48 and naive bayes algorithm in Flower specie prediction
Authors: Jain Aakanksha , Tiwari Shivam , Madhusudhana Subramanyam M. , Jamal Khalid , Yadav Ajay Singh , Kumar Sarvesh 
Published: May 2021

Abstract
Artificial intelligence and Deep learning techniques propose and provide effective mechanism for classification among several commodities like gender classification on basis of ridge count, spam mail classification and detection etc. Here we have proposed a hybrid module on basis of available AI and ML techniques by which we can achieve more than 90% accuracy for any provided test dataset. We have included over 50423 samples, out of which we use 66 percentage of data for training purpose of our model and 34% remaining sample we use as test dataset, with 8 fold we have achieve approximately 96% accuracy. For collection of dataset and processing of dataset we gone through several phases which include extraction of feature (EoF) using feature extraction technique, for cleaning of dataset we have use dimension reduction technique factor analysis(FA). In next phase for classification of flowers we have used classification techniques in which we found the accuracy score of j48 classifier is higher than Naïve Bayes and Jrip algorithm. Hence the choice of j48 classifier for classification is right.
Strong interaction of a quantum dot with the photon reservoir in one-dimensional photonic crystals
Authors: Gainutdinov R Kh , Nabieva L J , Garifullin A I , Mutygullina A A 
Published: May 2021

Abstract
Quantum fluctuations as a process of the self-interaction of a system lead to a shift of the energy levels and are usually described by the self-energy function. Here quantum fluctuations caused by the interaction of a quantum dot coupled with an one-dimensional photonic crystal’s cavity with the photon reservoir are discussed. It is shown that this interaction can lead to a significant increase in quantum fluctuations. The self-interaction is of interest for solving problems of decreasing decoherence and dephasing of qubit for quantum computation.
Exciton coherence in a layer of CdSe/CdS/ZnS semiconductor quantum dots under continuous laser excitation and two-quantum excitonic transient holograms
Authors: Samartsev V V , Mitrofanova T G 
Published: May 2021

Abstract
We discuss the possibility of exciting a stimulated excitonic induction in a thin film of semiconductor quantum dots and analyze the possibility of writing and reading out the two-quantum excitonic transient holograms in such samples.