bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quenching transitions for the rovibrational transitions of water: Ortho-H2O in collision with ortho- and para-H2
Authors: Wiesenfeld Laurent 
Published: September 2022

We present here the first full computation of the rovibrational quenching of a polyatomic molecule (water) by a rotating molecular projectile (H2). The computation is performed for quenching from the first bending mode of water at ν ≃ 1595 cm−1 with a rotation energy of up to ∼400 cm−1 in the bending mode. Molecular hydrogen is in its para and ortho modifications; it is rotating with a rotational quantum number of up to 4 and 3, respectively. All computations are performed on a very reliable and fully tested potential water–hydrogen energy surface of full dimensionality. Dynamics is performed in the full coupled channel formalism in the rigid bender approximation with a decoupling of the water rotation and vibration bases. Rate coefficients are converged for a kinetic temperature range 50–500 K. The crucial importance of the proper treatment of the projectile rotation is emphasized with orders of magnitude differences between the different channels for the H2 rotation. Sensitivity to the actual rovibrational initial state of water exists but in a weaker manner. Overall quenching rate coefficients are about 10−12 cm3 s−1, remaining one to three orders of magnitude lower than pure rotational quenching. They should be employed to model denser and warmer astrophysical media, such as high atmospheres or star and planet forming regions, which are to be explored by infrared space telescopes, such as JWST.
Multiple lines of evidence infer centurial-scale habitat change and resilience in a threatened plant species at Mount Dangar, Hunter Valley, New South Wales
Authors: Bell Stephen A. J. , Lamrock Phil , Haines Heather A. , Turney Chris 
Published: September 2022

Context Populations of the threatened plant Acacia dangarensis at Mount Dangar (Hunter Valley, New South Wales) may best be managed by recognising centurial, rather than decadal, change in habitat. Aim Multiple data sources have been used to explore the hypothesis that above-ground presence of A. dangarensis is driven by centurial-scale cycles in climate (wet–dry phases) and fire. Methods Current-day floristic composition is contrasted with that documented by pre- and post-1900 botanical explorers for A. dangarensis and the fire-sensitive Callitris glaucophylla. Examination of fire history, oral recollections, rainfall and specimen collection databases, and radiocarbon (14C) and dendrochronological analyses of A. dangarensis have been used to build an ecological history of Mount Dangar. Key results There is no evidence of A. dangarensis occurring on Mount Dangar between 1825 (the first documented exploration) and 1979 (the first collection). Furthermore, historical wet–dry cycles where sufficient fuel was likely to have accumulated to propagate fire (required for seed germination) infer that the species may have last germinated from the seed bank c. 1730, but senesced prior to 1825. Our results suggest that a major fire during the extremely dry Austral summer of 1957–1958 killed most of the then dominant C. glaucophylla individuals. This fire followed 7–10 years of well above-average rainfall, allowing sufficient fuels to accumulate for fire to heat the soil and again release Acacia seed from dormancy. Conclusions Long-term resilience in A. dangarensis is highlighted irrespective of fire irregularity and recurrent drought that have occurred over at least the past 195 years. Implications Centurial-scale cycles in climate and fire appear to drive above-ground presence in this species. When present, occasional fruiting events may be sufficient to maintain the seed bank until suitable climatic conditions again favour a major wildfire event and subsequent seedling recruitment.
The profanity gap in contemporary Spanish society
Authors: Gutiérrez Rubio Enrique 
Published: September 2022

Abstract
This paper examines sex differences in the use of expletives in spontaneous informal conversations among the
contestants in the Spanish version of Big Brother. The results of the analysis of a corpus of 33,050 words empirically support
some of the previous findings of self-reported use obtained from questionnaires and interviews. However, some unexpected findings
were also noted – two of the women employ profanity more commonly than two out of the five male participants and one female swears
particularly often in mixed-sex conversations. According to the results of the study, the ‘profanity gap’ in Spanish society may
be narrowing, but it has not completely disappeared.
Effect of spin-polarization on filamentation in magnetized quantum plasma
Authors: Kumar Punit , Ahmad Nafees 
Published: September 2022

Abstract
A theoretical study analysing the effects of spin- polarization resulting from the difference in concentration of the oppositely spinning electrons on the filamentation instability of an intense laser beam propagating in magnetized quantum plasma. The ponderomotive force has been evaluated taking into account the electron’s Fermi pressure, quantum Bohm potential and electron’s spin. The effective dielectric constant has been calculated. For the filamentaton instability, the dispersion relation has been established and the growth rate has been studied analytically. The spin-polarization is found to enhance the filamentation.
Operational interpretation of bipartite quantum correlation
Authors: Li Weijing 
Published: September 2022

Abstract
Operational interpretations of quantum resource measures lie at the heart of quantum information processing technologies. In this paper, we show that the bipartite quantum correlation in terms of Wigner-Yanase skew information, is the minimal failure probability of a particular state ensemble discrimination task via the associated least square measurement. We then derive a general relation between quantum coherence with respect to quantum operation and discriminating probability specific to least square measurement. Furthermore, we provide a wave-particle duality relation between bipartite quantum correlation and which-path information.
Realistic conversion of single-mode squeezed vacuum state to large-amplitude high-fidelity Schrödinger cat states by inefficient photon number resolving detection
Authors: Kuts Dmitry A , Podoshvedov Mikhail S , Nguyen Ba An , Podoshvedov Sergey A 
Published: September 2022

Abstract
We theoretically propose an efficient way to generate optical analogs of both even and odd Schrӧdinger cat states (SCSs) of large amplitude with high fidelity and reasonable generation rate. The resources consumed are a single-mode squeezed vacuum state (SMSV) and possibly a single photon or nothing. We report the generation of even (odd) SCS with amplitude

4.2
,

fidelity higher than

0.99

with success probability a little more than

10

−
7

by subtraction of

30
(
31
)

photons from SMSV by ideal photon number detection. In order to reduce the requirements for the sensitivity of photon number resolving (PNR) detector, we show the implementation of even/odd SCSs with the same characteristics with two PNR detectors resolving only

15

photons each instead of

30
.

In the case of inefficient detector, SCS’s size and its fidelity can be kept close to perfect by using highly transmitting beam splitter, but at the cost of very dramatic reduction of the success probability. In order to have certain harmony between the characteristics (large amplitude, high fidelity and acceptable success probability) in the case of imperfect detection, highly transmitting beam splitters should not be used and number of the subtracted photons must be reduced to

10

11

.
An Ultra-wide Bandwidth Low-frequency Radio Astronomical Cryogenic Receiver for FAST Telescope
Authors: Liu Hong-Fei , Jiang Peng , He Chuan , Yang Fan , Liu Hong-Ju , Wang Sheng-Wang , Wu Yang , Zhu Yan , Cao Yang , Song Jin-You , Shi Xiang-Wei , Guo Ming-Lei , Zhang Hang , Liu Wen-Hao 
Published: September 2022

Abstract
This paper presents an ultra-wide bandwidth (UWB) low-frequency radio astronomical cryogenic receiver for the Five-hundred-meter Aperture Spherical radio Telescope (FAST). It covers 6.6:1 bandwidth from 0.5 to 3.3 GHz. The receiver consists of a Quad-Ridged Flared Horn (QRFH), a cryogenic microwave unit, an optical transceiver and a warm microwave and frequency mixing unit. A QRFH with a concentric-loaded dielectric spear is developed: the average return losses are larger than 20 dB; the average ports polarization isolation is 43.87 dB; the average dish efficiency is higher than 65%. Many UWB cryogenic low loss components are developed for the fabrication of a cryogenic microwave unit. The average noise temperature lower than 14.2 K and 22.5 K are achieved as referred to the input ports of cryogenic Dewar and the output of horn, respectively. Compared to other similar advanced UWB receivers, such as Parkes 0.7–4.2 GHz (6:1 bandwidth) receiver and FAST 0.27–1.62 GHz (6:1 bandwidth) receiver, wider relative bandwidth of the proposed receiver is achieved and it is a new attempt to expand the bandwidth of UWB low-frequency receiver.
Detection of the Farthest Globular Cluster NGC 6715 and Two Other GCs in Gamma-Rays with Fermi-LAT
Authors: Yuan Min , Ren Chongyang , Zhang Pengfei , Jiang Zejun , Zhang Li 
Published: September 2022

Abstract
In this paper, ∼12 yr long-term Pass 8 data from Fermi Large Area Telescope for the 157 globular clusters are carefully re-analyzed. Besides the 31 globular clusters reported in the fourth Fermi Large Area Telescope catalog Data Release 2, NGC 1851 is identified as a gamma-ray emitter and the significant gamma-ray emissions from NGC 6715 and NGC 6723 are detected. Especially NGC 6715 is located at a distance of 26.8 kpc, so far it is the farthest globular cluster detected in gamma-rays. A detailed analysis for these three globular clusters has been performed, but their gamma-ray pulsation emissions or flux variabilities are not found. The numbers of millisecond pulsars (MSPs) in these globular clusters are estimated under the assumption that each MSP inside globular clusters emits a similar amount of gamma-rays. Some possible origins of gamma-ray emission from globular clusters, such as MSPs, pulsar binary systems and/or dark matter, are discussed.
An outlier detection-based method for artifact removal of few-channel EEGs
Authors: Chen He , Zhang Hao , Liu Chuancai , Chai Yifan , Li Xiaoli 
Published: September 2022

Abstract

Objective. The electroencephalogram (EEG) is one of the most important brain-imaging tools. The few-channel EEG is more suitable and affordable for practical use as a wearable device. Removing artifacts from collected EEGs is a prerequisite for accurately interpreting brain function and state. Previous studies proposed methods combining signal decomposition with the blind source separation (BSS) algorithms, but most of them used threshold-based criteria for artifact rejection, resulting in a lack of effectiveness in removing specific artifacts and the excessive suppression of brain activities. In this study, we proposed an outlier detection-based method for artifact removal under the few-channel condition. Approach. The underlying components (sources) were extracted using the decomposition-BSS schema. Based on our assumptions that in the feature space, the artifact-related components are dispersed, while the components related to brain activities are closely distributed, the artifact-related components were identified and rejected using one-class support vector machine. The assumptions were validated by visualizing the distribution of clusters of components. Main results. In quantitative analyses with semisimulated data, the proposed method outperformed the threshold-based methods for various artifacts, including muscle artifact, ocular artifact, and power line noise. With a real dataset and an event-related potential dataset, the proposed method demonstrated good performance in real-life situations. Significance. This study provided a fully data-driven and adaptive method for removing various artifacts in a single process without excessive suppression of brain activities.
Experimental investigation of the ADC sampling rate effect on the digital gamma spectrometry
Authors: Shaker Hesham. H. , Kasban H. , Saleh A.A. , Dessouky M. 
Published: September 2022

Abstract
Gamma spectrometer is not available in many laboratories
because it is very expensive. Analog to digital converter ADC is the
basic component of digital gamma spectrometers. The sampling rate of
the ADC plays an important role in determining the performance and
the cost of the gamma spectrometers. This paper investigates
experimentally the ADC's sampling rate effect on the performance of
the gamma spectroscopy. The conducted experiment started by sampling
a real pre-amplifier output. Then, the acquired samples have been
processed at different sampling rates to build the dedicated gamma
spectrums. During the processing of the sampled signals, three
different digital filters have been tested to distinguish their
effect on the energy resolution when the sampling rate is
reduced. The results of this experimental investigation will help
later in proposing new low-cost and efficient gamma spectrometer
prototypes.
Nanosecond machine learning regression with deep boosted decision trees in FPGA for high energy physics
Authors: Carlson B.T. , Bayer Q. , Hong T.M. , Roche S.T. 
Published: September 2022

Abstract
We present a novel application of the machine learning / artificial intelligence method called boosted decision trees to estimate physical quantities on field programmable gate arrays (FPGA).
The software package
fwXmachina
features a new architecture called parallel decision paths that allows for deep decision trees with arbitrary number of input variables.
It also features a new optimization scheme to use different numbers of bits for each input variable,
which produces optimal physics results and ultraefficient FPGA resource utilization.
Problems in high energy physics of proton collisions at the Large Hadron Collider (LHC) are considered.
Estimation of missing transverse momentum (ET
miss) at the first level trigger system at the High Luminosity LHC (HL-LHC) experiments,
with a simplified detector modeled by Delphes,
is used to benchmark and characterize the firmware performance.
The firmware implementation with a maximum depth of up to 10 using eight input variables of 16-bit precision gives a latency value of 𝒪(10) ns,
independent of the clock speed,
and 𝒪(0.1)% of the available FPGA resources without using digital signal processors.
Visualizing electrical energy consumption with virtual augmented technology and the internet of things
Authors: Naret S , Annop T , Supharoek S , Thanadon J 
Published: September 2022

Abstract
Power consumption was considered one of the major expenses in households and small offices in the COVID pandemic situation. The proposed method employs virtual augmented technology and the Internet of Things (IoT) to provide a visual solution for monitoring the power consumption of electrical equipment. The IoT sensors are linked via mobile phones or portable communication devices. For the proposed work, the energy sensor devices are installed on the 4 single-phase electrical devices in the office room equipment. That equipment’s electrical consumption was saved, processed through the ESP8266 board, and then transmitted through WiFi to collect data on the cloud server. The saved electrical energy data in the dashboard can be displayed as a visual comparison with AR technology by using the mobile phone camera to scan the marker of each electrical device. The experimental results show that the value of electrical energy is accurate, and the data values can be used to manage the power consumption of electrical equipment.
Experimental Investigation of Aluminium Dross and GGBS in the Production of Eco-Friendly Concrete
Authors: Arpitha D J , praveen Kannam 
Published: September 2022

Abstract
The use of alternative materials in production of concrete is being well normal, since it makes two possibilities in improving within the concrete composites, additionally except standard economic system. This paper offers laboratory research record approximately the utilization of aluminium dross (AD), floor granulated blast furnace slag (GGBS) as partial alternative of cement. The partial replacement of cement turned into performed in specific trail blend for M35 grade of concrete one by one. The blend trail with distinct five percent of Aluminium dross and GGBS through zero%, 10%, 20%, 30%, forty% so that you can discover the most reliable percent use in concrete. From those trial mixes, percentage optimization of Aluminium dross and GGBS utilized in concrete for the in addition investigation. It became discovered that five% of Alluminium Dross and, 30% replacement of GGBS respectively offers most strength to concrete.
Travel mode choice changes due to covid-19- case study of Yelahanka
Authors: Akshay R , Kanimozhee S , Madhu K A 
Published: September 2022

Abstract
India had repeated lockdowns from 2020 to 2022, however changes in commuters' travel mode preferences were noted both before and after COVID-19.. In total 950 participant response were created through Microsoft Forms and sent through different forms of social media like WhatsApp, LinkedIn and Facebook and 12% of the responses were recorded out the study area so it was excluded during the study purpose, the total responses were carried out for the study were 827 responses. The study also attempted to quantify the effects of influencing factors which can explain change in the commuter’s travel mode choice. The findings revealed that employment growth as seen after COVID-19 of 6% were the main purpose of travelling was to office, recreational and medical services of 19% after COVID-19. Mode choice model were created accordingly for the data analysed. The MLR Model created for Before Covid-19 data shows a good fit and the independent variables are significantly affecting the outcome variable and the Multiple Linear Regression Model created for Post-Covid-19 shows the independent variables are affecting significantly affecting the dependent variable i.e. Mode Choice. Therefore, Multiple Linear Regression Model is finalized and the collected data of the present study shows good model fit. The goal of the current study is to help policymakers better understand the dynamics of shifting travel demand and trip purpose before and after events like COVID-19.
Building Information Modelling and Augmented Reality for building energy systems visualisation
Authors: Avani P , Bhavana B 
Published: September 2022

Abstract
Augmented reality is an important aspect of today's technological environment, as it aids in the development of technical abilities in students and engineers. Construction is often the industry with the least relation to digitalization, and we are currently dealing with challenges with real-view objects. Because some Elements are buried beneath the fake ceiling and walls, these components, which include ventilation, air conditioning, heating, and lighting, are now only partially visible in the building environment[9]. As per this article, Owners can track the project and use it for predictive maintenance, facility management, and future refurbishment using a mobile.
Strengthening of Cement mortar by Reinforcing Carbon Based Nano Material
Authors: Jayachandra  , Yashwanth H. J. , Ramalinga Reddy Y , Sanjith J 
Published: September 2022

Abstract
The present study reported the mechanical behaviour of reduced Graphene Oxide infused in cement mortar. In this investigation initially well graded Graphene Oxide confirming the presence of carbon functional group by FTIR Spectro results it is dispersed in suitable dispersion agent to obtain reduced Graphene Oxide [rGO]. The reduced Graphene Oxide was ultrasonicated with different hours of sonication at 1, 2, 4 and 6hours to reduce the oxygen functional groups. A series of cement mortar composite with varying percentages of reduced Graphene Oxide were prepared to achieve maximum strength by examining the compressive strength for different curing periods. The mechanical test results revealed that the composite containing reduced Graphene Oxide with 0.1% dosage showed good dispersion and well compressive strength prepared for 28 days than the plain cement mortar composite with 4hour sonication time. The strength of cement mortar prepared decreased after the time of sonication amplified from 4hours to 6hours due to interfacial bonding between the cement paste decreased. This study delivers a valued influence toward better understanding of the influence of reduced Graphene Oxide particle size on the properties of cementitious composites to optimize their performance.
Study on International Road Roughness index (IRI) using Smart phone application from REVA University to Kodigehalli gate, Bangalore, India
Authors: Shivananda P. , Khatua Sangram Kumar 
Published: September 2022

Abstract
International Roughness Index (IRI) is one of the most widely used indices to determine the roughness of different road surface. Roughness index helps in identifying the quality of the road surface and suggest improvement measures. In this paper Roughness index values are measured from REVA University to Kodigehalli Gate. International Roughness Index are measured using mobile application. IRI value depends on vehicle speed and road. Roughness indicates the present road condition and helps in making decision related to management and maintenance of different types of roads. Based on Carbin app [1] results road user can identify 1) Safety, 2) Traffic, 3) Comfort of driving, 4) Fuel Consumption, 5) Quality of Air and 6) Road condition. Carbin application is used to collect Road quality, Speed, CO2 savings. In the study stretch Maximum value of IRI = 5.6m/km obtained from Bagalur cross to on BSF Cross and this stretch road user face all the above 6 problems. Minimum value of IRI= 2.44m/km obtained from Kodigehalli Cross to Bagalur cross (Airport Road-NH), the road is recently maintained by overlaying, in this stretch, road users comfortably use this stretch of road with respect above 6 aspects. As per the IRI value, new roads to be constructed to get IRI<1.2 m/km, once it reaches IRI=4 m/km road need to be maintained to get IRI < 2.2 m/km.