bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanistic basis for ubiquitin modulation of a protein energy landscape
Authors: Carroll Emma C. , Latorraca Naomi R. , Lindner Johanna M. , Maguire Brendan C. , Pelton Jeffrey G. , Marqusee Susan 
Published: March 2021

SignificanceFluctuations on a protein’s energy landscape encode the mechanistic basis for vital biological processes not always evident from static structures alone. Ubiquitination, a key posttranslational modification, can affect a protein’s energy landscape with consequences for proteasomal degradation, but the molecular mechanisms driving ubiquitin-induced energetic changes remain elusive. Here, we find that distinct thermodynamic mechanisms can produce the same outcome of ubiquitin-induced destabilization at sensitive sites. At a nonsensitive site, we observe formation of a substrate–ubiquitin interaction that may serve to protect against destabilization. This work will enable development of predictive models of the effect of ubiquitin at any given site on a protein with implications for understanding and engineering regulated ubiquitin signaling and protein quality control in vivo.
Market demand for conference interpreting
Authors: Huh Jiun 
Published: March 2021

Abstract
This study explored market demand for conference interpreting in South Korea, focusing on clients’ views on the
key factors that affect their recruiting decisions. The study conducted a semi-structured interview using fictitious resumes with
14 participants who are clients of conference interpreting services. The study’s results indicate that: (1) participants place
high importance on interpreting quality, particularly emphasizing quality items such as content accuracy and terminology
awareness; (2) domain-specific interpreting experience, academic background, and price serve as important quality signals in their
recruiting decision-making; and (3) price-quality association is present. Furthermore, the interview results suggest that a
collaborative approach from clients is necessary to create an enabling environment for quality interpreting services. Ultimately,
this study presents noteworthy information regarding clients’ rationales for their recruitment criteria. This information is
expected to widen our understanding of the interpreting market in South Korea.
COVID silver linings
Authors: Levis John M. , Hegelheimer Sinem Sonsaat 
Published: March 2021

Abstract
The global pandemic caused a storm of cancellations of professional conferences and professional travel, but the
storm has also had technological silver linings in opportunities for professional development including greater numbers of
webinars, virtual conferences, and new uses of videoconferencing. We expect that many of these new expansions of professional
development will continue in the field of L2 pronunciation.
Single-parameter and parameter combination errors in L2 productions of Swiss German Sign Language
Authors: Ebling Sarah , Tissi Katja , Sidler-Miserez Sandra , Schlumpf Cheryl , Boyes Braem Penny 
Published: March 2021

AbstractThis article presents a study of errors made by hearing adult L2 learners of Swiss German Sign Language (Deutschschweizerische Gebärdensprache, DSGS). As part of a statistical analysis of single-parameter errors, movement was found to be the parameter most susceptible to errors, followed by location, orientation, and handshape. An analysis of production errors with respect to combinations of manual parameters was also conducted, something that previously has not been undertaken. The parameter combination most frequently involved in errors was movement with location. Possible aspects contributing to the higher error rate for movement are suggested, among which are the inherent complexity of the movement parameter. Finally, the article discusses factors influencing the judgment of errors.
The linguistic landscape and soundscape of Windhoek
Authors: Schulte Marion 
Published: March 2021

Abstract
Both the pre-independence lingua franca Afrikaans
and the post-independence official language English are used to
communicate in public contexts in Namibia although most Namibians
speak other languages at home. This article aims to find out which
languages are used for communication in public spaces in Windhoek,
Namibia’s capital. It is based on linguistic landscaping and
soundscaping data and compares this contemporary data with the
pre-independence linguistic landscape reported in Kleinz (1984) to assess the
diachronic development of public language use. This investigation
finds that English is the most frequent language used in written
communication in the public sphere. English also seems to be
favoured by non-White Namibians in service encounters, while many
White Namibians select Afrikaans in these situations.
Broadcasting your variety
Authors: Zähres Frederic 
Published: March 2021

Abstract
This chapter investigates the viability of
YouTube data for the World Englishes research context by introducing
a Namibian YouTuber community and presenting challenges and
opportunities of this mostly uncharted medium. An acoustic phonetic
case study of Namibian English is conducted with a small sample
corpus of YouTube data from 2018, in which vowels relevant to the
Southern African context (e.g. nurse, kit, dress, trap) of
two groups of content creators are analyzed. While researchers face
methodological challenges on YouTube during data collection and
analysis, the results of the acoustic analyses presented show that
the formal and informal speech styles found on YouTube constitute an
accessible and rich type of data that can reaffirm and complement
findings based on traditional approaches.
On the vibrational free energy of hydrated proteins
Authors: Sanejouand Yves-Henri 
Published: March 2021

Abstract
When the hydration shell of a protein is filled with at least 0.6 gram of water per gram of protein, a significant anti-correlation between the vibrational free energy and the potential energy of energy-minimized conformers is observed. This means that low potential energy, well-hydrated, protein conformers tend to be more rigid than high-energy ones. On the other hand, in the case of CASP target 624, when its hydration shell is filled, a significant energy gap is observed between the crystal structure and the best conformers proposed during the prediction experiment, strongly suggesting that including explicit water molecules may help identifying unlikely conformers among good-looking ones.
Operant conditioning reveals task-specific responses of single neurons in a brain–machine interface
Authors: Garcia-Garcia Martha G , Marquez-Chin Cesar , Popovic Milos R 
Published: March 2021

Abstract

Objective. Volitional modulation of single cortical neurons holds great potential for the implementation of brain–machine interfaces (BMIs) because it can induce a rapid acquisition of arbitrary associations between machines and neural activity. It can also be used as a framework to study the limits of single-neuron control in BMIs. Approach. We tested the control of a one-dimensional actuator in two BMI tasks which differed only in the neural contingency that determined when a reward was dispensed. A thresholded activity task, commonly implemented in single-neuron BMI control, consisted of reaching or exceeding a neuron activity level, while the second task consisted of reaching and maintaining a narrow neuron activity level (i.e. windowed activity task). Main findings. Single neurons in layer V of the motor cortex of rats improved performance during both the thresholded activity and windowed activity BMI tasks. However, correct performance during the windowed activity task was accompanied by activation of neighboring neurons, not in direct control of the BMI. In contrast, only neurons in direct control of the BMI were active at the time of reward during the thresholded activity task. Significance. These results suggest that thresholded activity single-neuron BMI implementations are more appropriate compared to windowed activity BMI tasks to capitalize on the adaptability of cortical circuits to acquire novel arbitrary skills.
Two-dimensional easy-plane SU(3) magnet with the transverse field: anisotropy-driven multicriticality
Authors: Nishiyama Yoshihiro 
Published: March 2021

Abstract
The two-dimensional easy-plane SU(3) magnet subjected to the transverse field was investigated with the exact-diagonalization method. So far, as to the XY model (namely, the easy-plane SU(2) magnet), the transverse-field-driven order–disorder phase boundary has been investigated with the exact-diagonalization method, and it was claimed that the end-point singularity (multicriticality) at the XX-symmetric point does not accord with large-N-theory’s prediction. Aiming to reconcile the discrepancy, we extend the internal symmetry to the easy-plane SU(3) with the anisotropy parameter η, which interpolates the isotropic (η = 0) and fully anisotropic (η = 1) cases smoothly. As a preliminary survey, setting η = 1, we analyze the order–disorder phase transition through resorting to the fidelity susceptibility χ
F, which exhibits a pronounced signature for the criticality. Thereby, with η scaled carefully, the χ
F data are cast into the crossover-scaling formula so as to determine the crossover exponent ϕ, which seems to reflect the extension of the internal symmetry group to SU(3).
High level of visual-spatial intelligence’s students in solving PISA geometry problems
Authors: Novitasari Dwi , Nasrullah Ahmad , Wahyu Triutami Tabita , Ayu Apsari Ratih , Silviana Dewi 
Published: March 2021

Abstract
Spatial reasoning and representation are two things that are often used in our daily life, especially in the field of mathematics and geometry. Therefore, this study aims to identify and describe the relationship between representation and spatial reasoning used by students who have high level of visual-spatial intelligence in solving PISA problems. This study is an explorative descriptive study through a qualitative approach. The subjects of this study were 2 third grade junior high school students with high level of visual-spatial intelligence. Data were collected by visual-spatial intelligence tests, mathematical problems related to PISA problems in the form of 3-dimensional dan 2-dimensional geometry problems with two open-ended problems and interviews. The results showed that: (1) there is a relationship between representation and spatial reasoning, (2) students combine their representations and spatial reasoning in giving and proving their answers. The results also showed that students applied their spatial reasoning in the form of spatial visualization and mental rotation. While the most dominant representations used by students are visual representation (76.25%) and symbolic representation (20%).
Mathematical communication ability students based on learning motivation in the COVID-19 pandemic
Authors: Muhammad Malim , Purwanto Joko , Christiyansyah Octarina 
Published: March 2021

Abstract
The research aims to describe Tenth-grade students’ mathematics communication competence of vocational high school of Bina Teknologi, in Purwokerto Indonesia. The research used a qualitative method with Miles and Huberman model consisting of data reduction, data display, and taking a conclusion. The research subjects were Tenth-grade of Network and Computer Engineering class students obtained through purposive sampling. The students were grouped into three categories based on their learning motivation, namely students with high learning motivation, students with medium learning motivation, and students with low learning motivation. Two respondents, from each category, were chosen to be interviewed. The methods of data collection were questionnaires, tests, interviews, and documentation. The used validation test was technique triangulation. The research result shows that Subjects with high learning motivation were able to use language and mathematical symbols in daily events, were able to interpret mathematical ideas based on the graphs presented, were able to provide easy-to-understand arguments, and were able to draw graphs based on mathematical situations or problems. Subjects with learning motivation are able to use language and mathematical symbols in everyday events, are able to provide easy-to-understand arguments, and are able to draw graphs based on situations or math problems. Subjects with low learning motivation are able to use language and mathematical symbols in everyday events and are able to provide easy-to-understand arguments.
Mathematical simulation approach to diagnose performance limiting factor of shot put technique
Authors: Nanang Himawan Kusuma Moh 
Published: March 2021

Abstract
The applied mathematics simulation for human mot ion is one breakthrough of sports biomechanics in sports science. The optimum rate of energy generated in muscle s and knees, hips, shoulders and wrists play a significant role and influence the throw distance. Kinetic analysis of parabolic path is predominantly determined by the speed of release (V0), angle of release (α) and height of at release (h0
) at the delivery phase of throwing. The inequality of anthropometry, physical and quality of technique requires coaches to develop mathematical simulation to diagnose performance. This study describes mathematical simulation of speed (V0), angle (α) and height of release (h0) against a throw distance. The 28 male sport students (19.3±1.2 years, weight of 68.2±5.5 kg, height of 169.7±5.4cm) represent a linear shot put (4kg), recorded with 2 HD cameras in sagittal plane and analysed with kinovea software for kinematic motion. There is significant relationship between speed-(p=0.001), angle-(p=0.003) and height of release (p=0.004) with performance. The rate of speed (7.23±0.75ms-1), angle (44.67± 9.19°) and height of release was (194±7.72cm). The greatest shot performance was 12.57m, applies 7.98±0.02ms of speed, 48.59±2.18° of angle and 199.63±2.21cm of height. Mathematical Simulation can be applied to predict shot put performance through kinematic study.
Game and creative problem solving in mathematics
Authors: Untarti Reni , Ainun Najib Muhammad 
Published: March 2021

Abstract
Although many people perceive that games harm student achievement, it is undeniable that games can have a positive effect on various student abilities, one of which is creative problem-solving in mathematics. The intensity of playing the game of course influences this influence. This study aims to describe creative problem-solving in mathematics in terms of the intensity of playing games. The research method used is descriptive with a qualitative approach. This research was conducted at SMP Negeri 2 Kutasari in the odd semester of the 2019/2020 school year. The research subjects were determined by purposive sampling technique and obtained by class IXA. The instruments used were creative problem-solving in mathematics tests and interview guides. Based on the results of the questionnaire, two students in each category were selected using purposive sampling technique for interviews. Data analysis techniques include: 1) data reduction, 2) data presentation; and 3) conclude. The results showed that students with low-intensity gameplay, either online or offline, are better at the mastery of creative problem-solving in Mathematics than students who play games with high intensity or students who do not play games.
Performance of Massive MIMO systems in cognitive spectrum sensing
Authors: Shamla B , Amrutha T R 
Published: March 2021

Abstract
Cognitive radio is a revolutionary technology that guarantees a viable solution to the spectrum scarcity problem. This prominent new technology has the power to change future technological developments forever if intelligently applied. In Cognitive Radio Networks, secondary (unlicensed) user uses the licensed spectrum band opportunistically, without creating any interference with primary user (licensed) transmission. Spectrum sensing is a vital challenge for spectrum usage and to prevent harmful interference with licensed users. Energy detection has been for a long, constituting the most widely known sensing technique in cognitive radio systems. In this paper, Neyman - Pearson criterion-based detection rules are used to incorporate the local probabilities of detection and false alarm to analyse an energy detector sensing behaviour over additive white Gaussian (AWGN) channel, fading channel and massive multiple input multiple output(MIMO) cases. Closed-form solutions for the probabilities of false alarm and detection were derived. The analytical results were verified by numerical computations using the Monte Carlo method with MATLAB.
A novel Ship detection method from SAR image with reduced false alarm
Authors: Anil Raj J , Idicula Sumam Mary , Paul Binu 
Published: March 2021

Abstract
Many research works using deep learning techniques for automatic ship detection from SAR images have good detection accuracy. But the main problem in these methods is false detection, mostly due to speckle presence. Therefore, we propose a new deep learning model with a novel preprocessing stage to address this problem. We are introducing a deep learning architecture to detect and localize ships in the SAR image. First, generate a three-channel image from gray-scale SAR image. Then, this image is used to train the model to predict the ship’s position in the SAR image. We experimented on the public SAR ship detection dataset (SSDD) and Dataset of Ship Detection for Deep Learning under Complex Backgrounds (SDCD) to validate the proposed method’s feasibility. We used python 3.5 for coding with the Keras framework in the NVIDIA Tesla K80 GPU hardware platform. The experimental results indicated that our proposed method’s ship detection accuracy has increased with reduced false detection percentage.
Analytical study of electromagnetic ion cyclotron wave for ring distribution with AC electric field in Saturn magnetosphere
Authors: Shukla Neeta Kumari , Singh Devi , Pandey R.S. 
Published: March 2021

AbstractCharacteristics of electromagnetic ion cyclotron waves in Saturn inner magnetosphere has been investigated here in close proximity of equatorial plane at approximately mid of the E ring near 5Rs by using data sets released by Voyager and Cassini spacecraft. Previous encounter of these spacecraft with Saturn exposed the strong signature of EMIC wave and harmonics believed to be originated within 7.5 Rs due to dominant O+ions and water group ions. Maxwellian ring distribution for pickup ions contributing ring around planet is opted to find unperturbed particle density. Therefore, investigating here growth of obliquely propagating EMIC wave undergoing wave particle mechanism by opting kinetic approach to establish mathematical dispersion model in view of different parameters and extended to comparative study for parallel propagation. Parametric analysis inferred that waves propagating in the oblique direction grows more as compare to parallel propagating waves for the extended value of temperature anisotropy and the angle of propagation with respect to the ambient magnetic field B (at equator) and second harmonic of ion cyclotron waves indicating that the modified ion cyclotron wave shifts the wave spectra to higher side with increase in bandwidth. Study can be carried out to analyze other instabilities to explore magnetospheric dynamics at different radial distances.
Monitoring versus prediction of the power of three different PV technologies in the coast of Lima-Peru
Authors: Calsi B X , Conde L A , Angulo J R , Montes-Romero J , Guerra J A , de la Casa J , Töfflinger J A 
Published: March 2021

Abstract
This article presents the benefits of two simple analytical models for estimating the outdoor performance of three different photovoltaic technologies in Lima, Peru. The Osterwald and the constant fill factor models are implemented to estimate the maximum power delivered by three photovoltaic module technologies: aluminum back surface field, heterojunction with intrinsic thin-layer and amorphous/microcrystalline thin-film tandem. A 12-months experimental campaign is carried out through measurements of current-voltage curves, irradiance and module temperature. The results show that both models overestimate the modelled power when compared to the measured one. In order to correct the maximum power predicted by both models, a correction factor is introduced. This correction factor allows us to estimate losses and a respective effective nominal power to minimize the prediction error on a monthly and yearly basis. These parameters demonstrate a unique behavior for each technology during different months implying different seasonal impacts of the ambient variables on the module performance. The effectiveness of this correction factor is demonstrated through accuracy measures. It enables the photovoltaic power prediction with an error < 1% for the particular climate in Lima, Peru.
Validation of ultraviolet index data from the Ozone Monitoring Instrument (OMI) based on measurements from meteorological stations in the city of Puno
Authors: Taipe C W , Mendoza E G , Flores H H 
Published: March 2021

Abstract
This research aims to validate ultraviolet index data obtained from the Ozone Monitoring Instrument (OMI) for the city of Puno. Data analysis was conducted on data from the DAVIS Vantage Pro 2 Plus meteorological station located in the city of Puno and data obtained from the OMI for the quadrant -70.540214, -15.982311, -69.540214, -14.982311. The comparison of the UV index data showed a linear correlation of 0.937 and an overestimation of values by the OMI; thus, a data correction equation was formulated for later analysis based on the linear regression of the maximum ultraviolet index values of both datasets at solar noon for the years 2016, 2017 and 2018. The evolution of the UV index shows clear seasonal behavior, both in the ground-based and satellite data, with maximum values obtained in summer and minimum values obtained in winter. The validation results show good correlation between the satellite data and ground-based measurements.
Thermal, structural and mechanical characterization of the whitish Arequipa Airport Ignimbrite
Authors: Espinoza F S , Horn M , Gomez M M , Solis J L 
Published: March 2021

Abstract
The white unit of Arequipa Airport Ignimbrite is a pyroclastic rock that emerges in the deposits of Arequipa and is used as a construction material since colonial times and locally called “sillar” or “ashlar”. The thermal conductivity and thermal diffusivity measured according to ASTM C 177 and Ångström’s method were 0.27 W/mK and 5.67×10−7 m2/s, respectively. The compressive strength and water absorption were 8.92 MPa and 17.2 %. The main crystalline phases of the ignimbrite are plagioclase, cristobalite, sanidine and biotite. The white ignimbrite has good thermal insulation and good mechanical properties.
Concepts for the XIDer readout ASIC incorporating a pipelined ADC with very low dead time
Authors: Schimansky D. , Busca P. , Erdinger F. , Fajardo P. , Fischer P. 
Published: March 2021

Abstract
We present the first concept for the analog front-end of the readout ASIC for the XIDer (X-ray Integrating Detector) detector system which is being
developed by a collaboration between the ESRF and Heidelberg University. The ESRF's Extremely Brilliant
Source (EBS) upgrade which has been completed recently provides X-ray beams of unprecedented
quality, requiring new photon detection instruments. The XIDer project has been launched to develop
a new versatile pixel detector which will be tailored to match requirements imposed by this upgrade. The core challenges
include fast signal acquisition, large dynamic range and single photon sensitivity. A first
prototype ASIC for the analog front-end of a single pixel has been manufactured. It is based on a pipelined two-stage
charge removal circuit which digitizes the incident signal on the fly. We will present
measurement results of the first test chip and concepts for the final system-on-chip implementation
integrating several tens of thousands of pixels.