bluuebunny/crossref_metadata_2025_split huggingface dataset:
Categorization and discrimination of human and non-human primate affective vocalizations: investigation of the frontal cortex activity through fNIRS
Authors: Debracque C. , Ceravolo L. , Clay Z. , Grandjean D. , Gruber T. 
Published: January 2022

AbstractMany species, including humans and non-human primates, react differently to threatening or pleasant situations. Because of its adaptiveness, recognizing affective signals is likely to be reflected in a capability of modern humans to recognize other closely related species’ call content. However, at both behavioural and neural levels, only few studies have used a comparative approach to understand affective decoding processes in humans, particularly with respect to affective vocalizations. Previous research in neuroscience about the recognition of human affective vocalizations has shown the critical involvement of temporal and frontal regions. In particular, frontal regions have been reported as crucial in the explicit decoding of vocal emotions especially in different task complexity such as discrimination or categorization. The aim of this study using functional Near Infrared Spectroscopy (fNIRS) was to specifically investigate the neural activity of the inferior frontal cortexpars triangularis(IFGtri) and the prefrontal cortex (PFC) underlying categorization (A versus B) and discrimination (A versus non-A) mechanisms of positive and negative affects in human, great apes (chimpanzee and bonobo), and monkey (rhesus macaque) vocalizations. We also analysed participants’ behavioural responses and correlated them with the recorded frontal activations. While performing the tasks, fNIRS data revealed a clear distinction between the two frontal regions, with a general positive activation of IFGtricompared to a decrease of PFC activity. We also found a modulation of IFGtriand PFC activations depending on both the species considered and on task complexity; with generally more activity in the IFGtriduring discrimination compared to categorization, and a more intense decrease of the PFC in categorization compared to discrimination. Behaviourally, participants recognized almost all affective cues in all species vocalizations at above chance levels in the discrimination task (except for threatening bonobo calls). For categorization, they mostly correctly identified at levels significantly above chance affective contents in human and great ape vocalizations but not in macaque calls. Overall, these findings support the hypothesis of a pre-human origin of affective recognition processing inherited from our common ancestor with other great apes and processed in the frontal cortex. Our results also highlight behavioural differences related to task complexity, i.e. between categorization and discrimination processes, and the differential involvement of the PFC and the IFGtri, which seems necessary to explicitly decode affects in all primate vocalizations.
Fast rule switching and slow rule updating in a perceptual categorization task
Authors: Bouchacourt F. , Tafazoli S. , Mattar M.G. , Buschman T.J. , Daw N.D. 
Published: January 2022

AbstractTo adapt to a changing world, we must be able to switch between rules already learned and, at other times, learn rules anew. Often we must do both at the same time, switching between known rules while also constantly re-estimating them. Here, we show these two processes, rule switching and rule learning, rely on distinct but intertwined computations, namely fast inference and slower incremental learning. To this end, we studied how monkeys switched between three rules. Each rule was compositional, requiring the animal to discriminate one of two features of a stimulus and then respond with an associated eye movement along one of two different response axes. By modeling behavior we found the animals learned the axis of response using fast inference (rule switching) while continuously re-estimating the stimulus-response associations within an axis (rule learning). Our results shed light on the computational interactions between rule switching and rule learning, and make testable neural predictions for these interactions.
Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching
Authors: Kim Honghyok , Bell Michelle 
Published: February 2022

ABSTRACTPropensity score (PS) matching to estimate causal effects of exposure is biased when unmeasured spatial confounding exists. Some exposures are continuous yet dependent on a binary variable (e.g., level of a contaminant (continuous) within a specified radius from residence (binary)). Further, unmeasured spatial confounding may vary by spatial patterns for both continuous and binary attributes of exposure. We propose a new generalized propensity score (GPS) matching method for such settings, referred to as conditional GPS (CGPS)-based spatial matching (CGPSsm). A motivating example is to investigate the association between proximity to refineries with high petroleum production and refining (PPR) and stroke prevalence in the southeastern United States. CGPSsm matches exposed observational units (e.g., exposed participants) to unexposed units by their spatial proximity and GPS integrated with spatial information. GPS is estimated by separately estimating PS for the binary status (exposed vs. unexposed) and CGPS on the binary status. CGPSsm maintains the salient benefits of PS matching and spatial analysis: straightforward assessments of covariate balance and adjustment for unmeasured spatial confounding. Simulations showed that CGPSsm can adjust for unmeasured spatial confounding. Using our example, we found positive association between PPR and stroke prevalence. Our R package, CGPSspatialmatch, has been made publicly available.
High temperature limits leaf size via direct control of cell cycle by coordinated functions of PIF4 and TCP4
Authors: Saini Kumud , Dwivedi Aditi , Ranjan Aashish 
Published: February 2022

AbstractHigh ambient temperature suppresses Arabidopsis rosette leaf area, in contrast to elongation of stem and petiole. While the mechanism underlying temperature-induced elongation response is extensively studied, the genetic basis of temperature-regulation of leaf size is largely unknown. Here we show that warm temperature inhibits cell proliferation in the Arabidopsis leaves resulting in fewer cells compared to the control condition. Cellular phenotyping, genetic, and biochemical analyses established the key roles of PIF4 and TCP4 transcription factors in the suppression of Arabidopsis leaf area under high temperature by a reduction in cell number. We show that temperature-mediated suppression of cell proliferation requires PHYTOCHROME INTERACTING FACTOR 4 (PIF4). PIF4 interacts with TEOSINTE BRANCHED1/CYCLOIDEA/PCF4 (TCP4) and regulates the expression of cell cycle inhibitor, KIP-RELATED PROTEIN 1 (KRP1), to control the leaf size under high temperature. Warm temperature induces binding of both PIF4 and TCP4 to the KRP1 promoter. PIF4 binding to KRP1 under high temperature is TCP4 dependent as TCP4 regulates PIF4 levels under high temperature. We propose a model where a warm temperature-mediated accumulation of PIF4 in the leaf cells promotes its binding to the KRP1 promoter in a TCP4-dependent way to regulate cell production and leaf size. Our finding of high temperature-mediated transcriptional upregulation of KRP1 integrates a developmental signal with an environmental signal that converges on a basal cell regulatory process.One sentence summaryHigh ambient temperature suppresses Arabidopsis leaf area by reducing cell proliferation via PIF4- and TCP4-dependent transcription control of KRP1.
Plakoglobin regulates adipocyte differentiation independently of the Wnt/β-catenin signalling pathway
Authors: Abou Azar F , Mugabo Y , Yuen S , Allali S , Del Veliz S , Lavoie G , Roux PP , Lim GE 
Published: February 2022

AbstractThe scaffold protein 14-3-3ζ is an established regulator of adipogenesis and postnatal adiposity. We and others have demonstrated that the 14-3-3ζ interactome to be diverse and dynamic, and it can be examined to identify novel regulators of physiological processes, including adipogenesis. In the present study, we sought to determine if factors that influence adipogenesis could be identified in the 14-3-3ζ interactome found in white adipose tissue of lean or obese TAP-tagged-14-3-3ζ overexpressing mice. Using mass spectrometry, changes in the abundance of novel, as well as established, adipogenic factors within the 14-3-3ζ interactome could detected. One novel candidate is plakoglobin, the homolog of the known adipogenic inhibitor β-catenin, and herein, we report that plakoglobin is involved in adipocyte differentiation. Plakoglobin is expressed in murine 3T3-L1 cells and is primarily localized to the nucleus, where its abundance decreases during adipogenesis. Ectopic overexpression and siRNA-mediated depletion of plakoglobin had dual effects on inhibiting adipogenesis and reducing PPARγ2 expression. Plakoglobin depletion in human adipose-derived stem cells also impaired adipogenesis and reduced lipid accumulation post-differentiation. Transcriptional assays indicated that plakoglobin does not participate in Wnt/β-catenin signaling, as its depletion did not affect Wnt3a-mediated SUPERTOPFlash activity. Taken together, our results establish plakoglobin as a novel regulator of adipogenesis in vitro and highlights the ability of using the 14-3-3ζ interactome to discover undiscovered pro-obesogenic factors.
An efficient evaluation method for wing fuel mass variations effect on transonic aeroelasticity
Authors: Li Dongfeng , Wang Zhengzhong , Da Ronch Andrea , Chen Gang 
Published: January 2022

Purpose
This paper aims to develop an efficient evaluation method to more intuitively and effectively investigate the influence of the wing fuel mass variations because of fuel burn on transonic aeroelasticity.

Design/methodology/approach
The proposed efficient aeroelastic evaluation method is developed by extending the standard computational fluid dynamics (CFD)-based proper orthogonal decomposition (POD)/reduced order model (ROM).

Findings
The results of this paper show that the proposed aeroelastic efficient evaluation method can accurately and efficiently predict the aeroelastic response and flutter boundary when the wing fuel mass vary because of fuel burn. It also shows that the wing fuel mass variations have a significant effect on transonic aeroelasticity; the flutter speed increases as the wing fuel mass decreases. Without rebuilding an expensive, time-consuming CFD-based POD/ROM for each wing fuel mass variation, the computational cost of the proposed method is reduced obviously. It also shows that the computational efficiency improvement grows linearly with the number of model cases.

Practical implications
The paper presents a potentially powerful tool to more intuitively and effectively investigate the influence of the wing fuel mass variation on transonic aeroelasticity, and the results form a theoretical and methodological basis for further research.

Originality/value
The proposed evaluation method makes it a reality to apply the efficient standard CFD-based POD/ROM to investigate the influence of the wing fuel mass variation because of fuel burn on transonic aeroelasticity. The proposed efficient aeroelastic evaluation method, therefore, is ideally suited to deal with the investigation of the influence of wing fuel mass variations on transonic aeroelasticity and may have the potential to reduce the overall cost of aircraft design.
Study on oil-cooler location for a pusher type turbo prop aircraft using numerical simulation
Authors: P.S. Premkumar , S. Nadaraja Pillai , C. Senthil Kumar 
Published: January 2022

Purpose
Pusher configured turbo-prop aircraft receive inadequate ram air cooling due to the lack of propeller slipstream, particularly during ground operations. However, flow entrainment can be exploited to a greater extent by placing the oil-cooler duct close to downstream of the propeller at a suitable radial location. But this method has a detrimental effect on the propeller thrust. The purpose of this paper is to discuss the results of numerical simulations carried out to simulate the performance of the propeller with and without oil cooler.

Design/methodology/approach
In this paper, three-dimensional (3D) numerical simulations are carried out to simulate the propeller in a rotating domain using an unstructured grid. A computational fluid dynamics solver is put forward to analyze the effect of thrust loss by solving 3D Navier-Stokes equations using a second-order upwind finite-volume scheme. In this study, the impact of thrust loss incurred in the propeller flow field with and without oil cooler duct for three different locations at various rotational speeds is carried out to assess the propeller performance and to identify the optimum position to get a sufficient mass flow rate.

Findings
The findings from this study are simulated thrust values of an uninstalled five-bladed propeller of light transport aircraft (LTA) match well with original equipment manufacturer propeller thrust data. The tip speed velocities simulated for different operating conditions are in good agreement with the theoretical calculations. The influence of oil-cooler effect on the propeller flow field is less in low velocity to high-velocity operating condition due to flow transition from laminar to turbulent. The presence of the oil cooler, which influences the thrust loss, is studied at propeller upstream and downstream locations in detail for 30%, 40% and 50% of propeller radius cases.

Research limitations/implications
Simulations with finer and structured hexa grids can be applied to this problem to get closer results and save solver time as future work.

Practical implications
The recommended system is installed in the production standard aircraft of LTA. After installation oil cooler performance is better compared to the previous arrangement.

Originality/value
Research work about pusher aircraft is very limited. The problem addressed in this study is unique which resolves the major issue of pusher aircraft. This work highlights the difficulty involved in LTA engine oil cooling, and solution methodologies are also provided. Numerical simulation with oil-cooler assembly is a new area of research that gave the solution for this oil-cooling issue through various oil-cooler case studies.
Reducing temperature, drag load and wear during aircraft tyre spin-up
Authors: Mahjouri Saeed , Shabani Rasoul , Skote Martin 
Published: January 2022

Purpose
Due to the static condition of the wheels at touchdown, they skid on the runway, which may cause the tyres to burn and wear. This phenomenon occurs in a fraction of a second, known as the spin-up period. The purpose of this paper is to introduce a new strategy to reduce the horizontal force, tyre temperature and wear during the spin-up period.

Design/methodology/approach
First, the dynamics of two different phases of landing, namely, spin-up and breaking phases, are reviewed. Second, a strategy to prevent excessive temperature and wear of the tyre is presented.

Findings
It is found that using a lubricant and coolant, such as water, at the spin-up stretch of the runway is a simple and practical solution to prevent excessive temperature and wear of the tyre. It is revealed that, despite increasing the spin-up period, the rise of the tyre temperature is eliminated and the material properties are preserved for effective braking. A rough quantitative analysis demonstrates that the wetting of tyres in the spin-up phase decreases the loads and tyre wear effectively.

Practical implications
Wetting the touchdown region of the runway without significant areas of standing water is the most practical strategy with the technology available today.

Originality/value
A new strategy is presented for landing with reduced tyre wear. It is the hope that this paper can inspire continuous efforts to realize the implementation of the strategy.
Computation of rotational hysteresis losses by vector Preisach models based on rotational operators
Authors: Nierla Michael , Kaltenbacher Manfred , Rupitsch Stefan Johann 
Published: January 2022

Purpose
A major purpose of vector hysteresis models lies in the prediction of power losses under rotating magnetic fields. The well-known vector Preisach model by Mayergoyz has been shown to well predict such power losses at low amplitudes of the applied field. However, in its original form, it fails to predict the reduction of rotational power losses at high fields. In recent years, two variants of a novel vector Preisach model based on rotational operators have been published and investigated with respect to general accuracy and performance. This paper aims to examine the capabilities of the named vector Preisach models in terms of rotational hysteresis loss calculations.

Design/methodology/approach
In a first step, both variants of the novel rotational operator-based vector Preisach model are tested with respect to their overall capability to prescribe rotational hysteresis losses. Hereby, the direct influence of the model-specific parameters onto the computable losses is investigated. Afterward, it is researched whether there exists an optimized set of parameters for these models that allows the matching of measured rotational hysteresis losses.

Findings
The theoretical investigations on the influence of the model-specific parameters onto the computable rotational hysteresis losses showed that such losses can be predicted in general and that a variation of these parameters allows to adapt the simulated loss curves in both shape and amplitude. Furthermore, an optimized parameter set for the prediction of the named losses could be retrieved by direct matching of simulated and measured loss curves.

Originality/value
Even though the practical applicability and the efficiency of the novel vector Preisach model based on rotational operators has been proven in previous publications, its capabilities to predict rotational hysteresis losses has not been researched so far. This publication does not only show the general possibility to compute such losses with help of the named vector Preisach models but also in addition provides a routine to derive an optimized parameter set, which allows an accurate modeling of actually measured loss curves.
Analysis of Bitcoin’s price spike in context of Elon Musk’s Twitter activity
Authors: Zaman Salma , Yaqub Ussama , Saleem Tauqeer 
Published: January 2022

Purpose
The purpose of this paper is to explore the effect of Elon Musk’s Twitter bio change on January 29, 2021 on the discourse around Bitcoin (BTC) on Twitter and to understand how these changes relate to the changes in Bitcoin price around that time.

Design/methodology/approach
This study implements sentiment analysis and text mining on Twitter data to explore changes in public sentiments toward Bitcoin after Elon Musk’s Twitter bio change. Furthermore, it uses Bitcoin price data obtained from the Binance exchange to understand its relation with Twitter discussion.

Findings
Elon Musk’s bio change on Twitter on January 29 increased the tweet volume mentioning Bitcoin. This increase in tweets had a strong positive correlation with Bitcoin price and preceded the rise in Bitcoin price. Although the bio change had an apparent effect on the tweet volume, there was no considerable effect on the tweet sentiments, indicating that tweet sentiment is a poor predictor of Bitcoin price.

Originality/value
This paper proposes an understanding of how social media influencers, like Elon Musk, affect the discourse around Bitcoin and can, in turn, have an impact on Bitcoin price.
An empirical survey of critical factors influencing students’ electricity use behaviour in halls of residence
Authors: Iyiola Comfort Olubukola , Mewomo Modupe Cecilia 
Published: January 2022

Purpose
Understanding electricity use behaviour is considered one of the strategies to achieve sustained electricity management in buildings. The lack of understanding of occupants’ electricity use behaviour has been found to cause various environmental and ecological issues. This paper aims to investigate the factors influencing occupants’ inefficient use of electricity in buildings becomes a vital area of study to achieve maximum benefit in the area of electricity management.

Design/methodology/approach
The study adopted a quantitative survey and questionnaire as instruments for gathering relevant information from end-users in the study area, and the data collected were analysed using descriptive and inferential statistics.

Findings
The major factors influencing the electricity use behaviour of students in the study area were attributed to their level of awareness, personal beliefs and attitude towards electricity, managerial influences and economic factors.

Originality/value
The threats to the environment and ecology necessitate immediate attention to the elements that impact students’ electricity use habits. This research explains the key elements that might impact students’ electricity consumption habits in buildings. Understanding these key characteristics will provide policymakers with vital knowledge of its prevalence.
Early supplier involvement framework for reducing construction waste during the design process
Authors: Othman Ayman Ahmed Ezzat , El-Saeidy Yomna Abdelghany 
Published: January 2022

Purpose
The purpose of this paper is to develop a framework to facilitate early supplier involvement (ESI) as an approach for reducing construction waste (CW) generated during the design process.

Design/methodology/approach
A research methodology consists of literature review, case studies and survey questionnaire was designed to achieve the abovementioned aim. First, the literature review was used to investigate CW, CW generated during the design process, the design process and ESI. Second, two construction projects were analysed to investigate the role of ESI towards reducing CW generated during the design waste. Third, a survey questionnaire was carried out with a representative sample of architectural design firms (ADFs) in Egypt to examine their perception and application of ESI towards reducing CW generated during the design process. Based on the results of the above, the research developed a framework to facilitate ESI during the design process to reduce CW.

Findings
Through literature review, the research highlighted the causes of CW generated during the design process and identified the benefits and challenges that encounter ESI in ADFs. Results of data analysis showed that “last-minute changes due to client requirements” was ranked the highest challenges of ESI in ADFs in Egypt followed by “lack of design experience”. Moreover, “providing technical information about materials and equipment and their capabilities” was ranked by respondents as the highest contributions of suppliers during the design process which leads to waste reduction followed by “better estimation of materials and costs”. Finally, respondents stated that “resistance of ADFs to include suppliers in the design phase” was ranked the highest challenge of ESI in the design process followed by “no clear guidelines or policies that organise ESI”.

Research limitations/implications
Because of the conceptual nature of the proposed framework, it has to be tested and validated to ensure its capability to overcome the challenges of ESI as an approach for reducing CW generated during the design process.

Practical implications
This research presents a practical solution to the problem of CW generated during the design process through ESI.

Originality/value
The research discussed the causes of CW originated from the design process and the benefits and challenges of ESI in ADFs. It investigated the perception and application of ESI in ADFs in Egypt. The proposed framework which was designed to facilitate the integration of suppliers in the early stages of the project life cycle represents a synthesis that is novel and creative in thought and adds value to the knowledge in a manner that has not previously occurred.