Miracle-dz/UniFAR-FTUs huggingface dataset:
Generation of Personal Sound Zones With Physical Meaningful Constraints and Conjugate Gradient Method

—Personal sound zones provide users to experience independent listening and quiet areas in the same acoustic environment using multiple loudspeakers. Generally, this can be done either by maximizing an acoustic contrast (AC) that represents the acoustic potential energy ratio between the bright 5 and dark zones or by minimizing a reproduction error or a signal distortion (SD) between the desired and reproduced sound ﬁelds. However, the former suffers from severe distortion in the reproduced sound ﬁeld, whereas the latter suffers from poor acoustic contrast. Recently, a ﬂexible and general framework 10 for sound zone control referred to as the variable span trade-off (VAST) ﬁlter has been proposed. The VAST framework, which is a generalized eigenvalue decomposition (GEVD)-based method, allows the user to control the trade-off between AC and SD by adjusting two user parameters: the subspace rank and the 15 Lagrange multiplier. Unfortunately, these parameters are not physically meaningful, and the user has to tune them for different source materials and acoustic environments. In this paper, we propose various strategies to control the reproduced sound ﬁeld as precisely and accurately as possible by reformulating the prob-20 lem using physically meaningful constraints, including SD and AC. Furthermore, a modiﬁed version of the conjugate gradient-based method is used to reduce computational complexity, to reduce SD when the subspace rank is small, and to persist the orthogonality of the basis functions as in VAST. The proposed 25 method shows precise control over the reproduced sound ﬁeld via extensive numerical validations in anechoic and reverberant environments for different physically meaningful constraints. For the reproducibility of the experimental results, a MATLAB implementation is available at https://tinyurl.com/rszern5. 30
User acceptance and preferences of sharing mobility services

off-street electric car-sharing services (ECS) and micro-mobility services (EMS). Analysis results from representative samples of the Dutch, Italian, Spanish and French populations show that it is possible to identify a segment of people interested in sharing services and also their willingness to participate in user-based relocation strategies if adequately compensated. Based on the UTAUT, we have identified the determinants of user acceptance and profiles interested in the services.
Emergence of: a reversed backward bifurcation , reversed hysteresis effect and backward bifurcation phenomenon in a COVID-19 mathematical model (preprint)

A Coronavirus Disease 2019 (COVID-19) epidemiological model incorporating a boosted infection-acquired immunity and heterogeneity in infection-acquired immunity among recovered individuals is designed. The model is used to investigate whether incorporating these two processes can induce new epidemiological insights. Analytical findings reveal co-existence of multiple endemic equilibria on either regions divided by the fundamental threshold (control reproduction number). Numerical findings conducted to validate analytical results show that heterogeneity in infection-acquired immunity among recovered individuals can induce various bifurcation structures such as reversed backward bifurcation , forward bifurcation , backward bifurcation and reversed hysteresis effect. Moreover, numerical results show that reversed backward bifurcation is annihilated or switches to the usual forward bifurcation if infection-acquired immunity among recovered individuals with strong immunity is assumed to be everlasting. However, this is only possible if primary infection is more likely than reinfection. In case reinfection is more likely to occur than primary infection, reversed backward bifurcation structure switches to a backward bifurcation phenomenon. Further, longer duration of infection-acquired immunity does lead to COVID-19 decline over time but does not lead to flattening of the COVID-19 peak.
Homology Modeling of L18F Mutation on SARS-CoV-2 Spike Protein Receptor-Binding Domain

Proteins have unique properties to participate in many structural and physiological processes. Knowledge of the three-dimensional structure of proteins is important to understand their roles in the physiological processes and the functions of these processes. Any structural defect in proteins due to mutations can cause diseases, treatment unresponsiveness, and drug resistance development. The recent emergence of the new SARS-CoV-2 variants containing mutations that accelerate the spread of the virus by affecting infectiousness has been of concern. In the study, visualization of the homology model and investigation of the chemical properties of L18F mutation responsible for the formation of mutant type SARS-CoV-2 spike protein via in silico approach was intended. In this study, amino acid number, molecular weight, theoretical pI value, the percentage composition of amino acids, total negatively charged residue number, total positively charged residue number, atomic composition, formula, total atomic number, molar extinction coefficient, aliphatic index, and the average hydropathy were calculated via ProtParam. The FASTA amino acid sequence was used for visualization of the homology models via UCSF Chimera in wild-type and mutant-type spike proteins. Basic chemical calculations also were displayed on BIOVIA Discovery Studio Visualizer. ΔΔG value and the changes in the stability in L18F mutation were predicted via I-Mutant Suite software. We detected that location of the mutant residue is near a highly conserved position and the L18F mutation may not cause the damage.
Nonlinear elliptic systems and mean eld games

In this paper we consider a class of quasilinear elliptic systems of PDEs which arise in the mean ﬁeld games theory of J-M Lasry and P-L. Lions. We provide a wide range of suﬃcient conditions for existence of solutions to these systems: on one hand the Hamiltonians (ﬁrst-order terms) need to be at most quadratic in the gradients, on the other they can even grow arbitrarily provided that they do not “oscillate extremely much in the space variable” (a conditions expressed rigorously by means of certain inequalities that involve the space derivatives of the Hamiltonians). We concentrate on periodic conditions, but the same techniques allow to handle Dirichlet, Neumann.boundary conditions, or even the evolutive counterpart of these equations.
The Diffusion of Geospatial Technologies Among Louisiana Assessors

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A framework to quantify phenotypic and genotypic parallel evolution

11 The independent and repeated adaptation of populations to similar environments often results 12 in the evolution of similar forms. This phenomenon creates a strong correlation between 13 phenotype and environment and is referred to as parallel evolution. However, there is 14 ongoing debate as to when we should call a system either phenotypically or genotypically 15 ‘parallel. ’ Here, we suggest a novel and simple framework to quantify parallel evolution at 16 the genotypic and phenotypic levels. Our framework combines both traditional and new 17 approaches to measure parallel evolution, and categorizes them into broadand narrow-sense 18 scales. We then apply this framework to coastal ecotypes of an Australian wildflower, 19 Senecio lautus, that have evolved in parallel. Our findings show that S. lautus populations 20 inhabiting similar environments have evolved strikingly similar phenotypes. These 21 phenotypes have arisen via mutational changes occurring in different genes, although many 22 share the same biological functions. Our work paves the way towards a common framework 23 to study the repeated evolution of forms in nature. 24 25 . CC-BY-NC-ND 4.0 International license made available under a (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is The copyright holder for this preprint this version posted July 12, 2020. ; https://doi.org/10.1101/2020.02. 05.936450 doi: bioRxiv preprint
Organic Soils and Peat Materials for Sustainable Agriculture

The Moorsh or Muck Horizons as Quality Indicators of Reclaimed Organic Soils, Henryk Okruszko and Piotr Ilnicki Irreversible Loss of Organic Soil Functions after Reclamation, Piotr Ilnicki and Jutta Zeitz Water-Related Physical Attributes of Organic Soils, Tomasz Brandyk, Jan Szatyowicz, Ryszard Oleszczuk, and Tomasz Gnatowski Quality of Peat Substrates for Plants Grown in Containers, Jean Caron and Louis-Marie Riviere Soil Acidity Determination Methods for Organic Soils and Peat Materials, Leon E. Parent and Catherine Tremblay Nitrogen and Phosphorus Balance Indicators in Organic Soils, Leon E. Parent and Lotfi Khiari Retention of Copper in Cu-Enriched Organic Soils, Antoine Karam, Caroline Cote and Leon E. Parent Fate of Pesticides in Organic Soils, Josee Fortin Quality of Organic Soils for Agriculture Use of Cutover Peatlands in Russia, Vera N. Kreshtapova, R.A. Krupnov, and Olga N. Uspenskaya Agricultural Production Systems for Organic Soil Conservation, Piotr Ilnicki
Exploring the Self through Songwriting: An Analysis of Songs Composed by People with Acquired Neurodisability in an Inpatient Rehabilitation Program

Background Neurological trauma is associated with significant damage to people's pre-injury self-concept. Therapeutic songwriting has been linked with changes in self-concept and improved psychological well-being. Objective This study analyzed the lyrics of songs composed by inpatients with neurological injuries who participated in a targeted songwriting program. The aim of this study was to understand which of the subdomains of the self-concept were the most frequently expressed in songs. Methods An independent, deductive content analysis of 36 songs composed by 12 adults with spinal cord injury or brain injury (11 males, mean age 41 years +/- 13) were undertaken by authors 1 and 2. Results Deductive analysis indicated that when writing about the past self, people created songs that reflected a strong focus on family and descriptions of their personality. In contrast, there is a clear preoccupation with the physical self, on the personal self, and a tendency for spiritual and moral reflections to emerge during the active phase of rehabilitation (song about the present self). Statistical analyses confirmed a significant self-concept subdomain by song interaction, F(10, 110) = 5.98, p < . 001, ηp2 = . 35), which was primarily due to an increased focus on physical self-concept and a reduced focus on family self-concept in the present song, more than in either past or future songs. Conclusions The analysis process confirmed that songwriting is a vehicle that allows for exploration of self-concept in individuals with neurological impairments. Songwriting may serve as a therapeutic tool to target the most prevalent areas of self-concept challenges for clients undergoing inpatient neurological rehabilitation programs.
Reform of Talent Cultivation Based on Deep Learning Technology

In modern times, since talents with a background in new engineering in colleges and universities play a vital role in society, it is further reform and practice that universities need to strengthen in engineering education. Taking the software engineering talent training program in universities as an example, this paper analyzes the current situation of software engineering talent cultivation against the background of new engineering. In light of the emerging issues, this paper introduces the student-centered education concept. Then, according to the characteristics of software engineering majors, relevant suggestions in terms of curriculum system, teaching mode, and teaching management are offered, which aimtofosterthedevelopmentofworld-classsoftwareengineeringtalents.Besides, thispaperdesignsanimagedenoisingmodule,aswellasadenseresidualdynamic region-awareconvolutionalneuralnetwork(DRDRNet),forthesmartteaching platformtoassistinstructorsinobtainingteachingphotographywithhighqual-ity and improve teaching quality. Quantitative and qualitative experiments have demonstrated the denoising performance of the proposed module.
DLT Compliance Reporting

The IS discourse on the potential of distributed ledger technology (DLT) in the financial services has grown at a tremendous pace in recent years. Yet, little has been said about the related implications for the costly and highly regulated process of compliance reporting. Working with a group of representatives from industry and regulatory authorities, we employ the design science research methodology (DSR) in the design, development, and evaluation of an artefact, enabling the automated collection and enrichment of transactional data. Our findings indicate that DLT may facilitate the automation of key compliance processes through the implementation of a"pull-model", in which regulators can access compliance data in near real-time to stage aggregate exposures at the supranational level. Generalizing our preliminary results, we present four propositions on the implications of DLT in compliance. The findings contribute new practical insights on the topic of compliance to the growing IS discourse on DLT.
Edinburgh Research Explorer Stereotypes at work

The current research set out to understand the stereotypes individuals hold about occupations, and to also examine how occupational segregation is related to incongruences between demographic and occupational stereotypes. In Study 1, we applied the Stereotype Content Model (SCM) to develop a novel taxonomy of occupational stereotypes based on the dimensions of warmth and competence. We found evidence that occupations are reliably stereotyped along the dimensions of warmth and competence, and that raters agreed more on certain occupational stereotypes than others. In Study 2, we mapped the occupational stereotype taxonomy onto demographic stereotypes from the SCM to predict occupational segregation in the United States. Supporting an occupational stereotype incongruence hypothesis, women were more represented in occupations characterized by high warmth, low competence, Asian people were more represented in occupations characterized by high competence, and Black and Hispanic workers were more represented in occupations characterized by low competence. This work contributes to our understanding of how individuals perceive occupations in society, provides us with a means for systematically comparing occupational stereotypes and demographic stereotypes by applying the same descriptive dimensions, and highlights the importance of occupational stereotypes for understanding and potentially alleviating occupational segregation.
Reliable Parameter Fields for Non-Hyperbolic Normal Move Out

L-25 Reliable parameter fields for Non-Hyperbolic Normal Move Out D. LE MEUR 1 R. SILIQI 1 F. ADLER 2 Abstract The focusing quality of far-offset volumes is strongly dependent on the density of the Non-Hyperbolic Normal Move Out (NHNMO) parameter estimation. The automatic picking of the residual time-shift due to the non-hyperbolic behavior of the reflection curve attempts to achieve this goal. The anellipticity η field containing many errors related to mis-picks and artifacts is replaced by anelliptic velocity ν which is related to the asymptote of the reflection curve. This new NHNMO parameter field thanks to the short spread
Simulated nature walks improve psychological well-being along a natural to urban continuum

Compared to urban environments, interactions with natural environments have been associated with several health benefits including psychological restoration and improved emotional well-being. However, classifying environments dichotomously as either natural or urban may emphasize between-category differences and minimize potentially important within-category variation (e.g., forests versus fields of crops; neighborhoods versus city centers). Therefore, the current experiment assessed how viewing brief videos of different environments, ranging along a continuum from stereotypically natural to stereotypically urban, influenced subjective ratings of mood, restoration, and well-being. Participants were randomly assigned to one of four video conditions, which depicted a simulated walk through a pine forest, a farmed field, a tree-lined urban neighborhood, or a bustling city center essentially devoid of greenery. Immediately before and after the videos, participants rated their current emotional states. Participants additionally rated the perceived restorativeness of the video. The results supported the idea that the virtual walks differentially influenced affect and perceived restoration, even when belonging to the same nominal category of natural or urban. The pine forest walk significantly improved happiness relative to both urban walks, whereas the farmed field walk did not. The bustling city center walk decreased feelings of calmness compared to all other walks, including the tree-lined neighborhood walk. The walks also differed on two perceived restorativeness measures (daydreaming and being away) in a graded fashion; however, the farmed field walk was found to be less fascinating than all other walks, including both urban walks. Taken together, these results suggest that categorizing environments as “natural versus urban” may gloss over meaningful within-category variability regarding the restorative potential of different physical environments.
Designing SpeechActs: issues in speech user interfaces

SpeechActs is an experimental conversational speech system. Experience with redesigning the system based on user feedback indicates the importance of adhering to conversational conventions when designing speech interfaces, particularly in the face of speech recognition errors. Study results also suggest that speech-only interfaces should be designed from scratch rather than directly translated from their graphical counterparts. This paper examines a set of challenging issues facing speech interface designers and describes approaches to address some of these challenges.
Long-term changes in land cover and carbon storage in Tanzania, East Africa

The carbon stored in vegetation varies spatially and temporally due to a complex mix of anthropogenic, climatic and edaphic variables. Thus, the success of climate change policy developments such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation) relies heavily on measuring and understanding this variation in the past, present and future. Here, I first analyse the change in forest cover within a 33.9 million hectare tropical study area in eastern Tanzania. I develop both linear and non-linear baselines of deforestation, providing evidence that Tanzanian forest policy has resulted in forest transition. I then present an Intergovernmental Panel on Climate Change (IPCC) ‘Tier 2’ reporting-compliant look-up method to estimate regional carbon storage, and associated 95% confidence intervals (CI). Applying this method to my study area indicates that 1.58 (95% CI: 1.56-1.60) Pg of aboveground live carbon (ALC) was stored across the landscape in the year 2000. Combining these Tier 2-type values with the historical land use/cover data I derived, I estimate that my study area had a total committed carbon release of 0.94 (0.37-1.50) Pg C between 1908 and 2000. However, look-up methods are overly simplistic for heterogeneous landscapes. Using regression equations, including the effects of disturbance, my IPCC ‘Tier 3’ compliant estimate for the same region in the year 2000 is 1.32 (0.89-3.16) Pg ALC. The most influential variables of carbon storage in the region are human, the strongest impact variables being the nature of the local governance regime (land under national control contained only 40-65% of the ALC stored in areas under local control) and historical logging (areas that had previously experienced logging held 51-77% of the ALC of never-logged areas). Throughout, I provide spatially explicit estimates to aid decision-makers who, due to the influence of anthropogenic variables, could significantly affect landscape carbon storage across this important area.
Introduction to RF Propagation

Preface. 1. Introduction. 1.1 Frequency Designations. 1.2 Modes of Propagation. 1.3 Why Model Propagation? 1.4 Model Selection and Application. 1.4.1 Model Sources. 1.5 Summary. 2. Electromagnetics and RF Propagation. 2.1 Introduction. 2.2 The Electric Field. 2.3 The Magnetic Field. 2.4 Electromagnetic Waves. 2.5 Wave Polarization. 2.6 Propagation of Electromagnetic Waves at Material Boundaries. 2.7 Propagation Impairment. 2.8 Ground Effects on Circular Polarization. 2.9 Summary. 3. Antenna Fundamentals. 3.1 Introduction. 3.2 Antenna Parameters. 3.3 Antenna Radiation Regions. 3.4 Some Common Antennas. 3.5 Antenna Polarization. 3.6 Antenna Pointing loss. 3.7 Summary. 4. Communication Systems and the Link Budget. 4.1 Introduction. 4.2 Path Loss. 4.3 Noise. 4.4 Interference. 4.5 Detailed Link Budget. 4.6 Summary. 5. Radar Systems. 5.1 Introduction. 5.2 The Radar Range Equation. 5.3 Radar Measurements. 5.4 Clutter. 5.5 Atmospheric Impairments. 5.6 Summary. 6. Atmospheric Effects. 6.1 Introduction. 6.2 Atmospheric Refraction. 6.3 Atmospheric Attenuation. 6.4 Loss From Moisture and Precipitation. 6.5 Summary. 7. Near-Earth Propagation Models. 7.1 Introduction. 7.2 Foliage Models. 7.3 Terrain Modeling. 7.4 Propagation in Built-Up Areas. 7.5 Summary. 8. Fading and Multipath Characterization. 8.1 Introduction. 8.2 Ground-Bounce Multipath. 8.3 Large-Scale or Log-Normal Fading. 8.4 Small-Scale Fading. 8.5 Summary. 9. Indoor Propagation Modeling. 9.1 Introduction. 9.2 Interference. 9.3 The Indoor Environment. 9.4 Summary. 10. Rain Attenuation of Microwave and Millimeter Wave Signals. 10.1 Introduction. 10.2 Link Budget. 10.3 Rain Fades. 10.4 The Link Distance Chart. 10.5 Availability Curves. 10.6 Other Precipitation. 10.7 Cross-Polarization Effects. 10.8 Summary. 11. Satellite Communications. 11.1 Introduction. 11.2 Satellite Orbits. 11.3 Satellite Operating Frequency. 11.4 Satellite Path Free-Space Loss. 11.5 Atmospheric Attenuation. 11.6 Ionospheric Effects. 11.7 Rain Fades. 11.8 Antenna Considerations. 11.10 Summary. 12. RF Safety. 12.1 Introduction. 12.2 Biological Effects of RF Exposure. 12.3 CC Guidelines. 12.4 Antenna Considerations. 12.5 FCC Computations. 12.6 Station Evaluations. 12.7 Summary. Appendix A: Review of Probability for Propagation Modeling. Index.