bluuebunny/crossref_metadata_2025 huggingface dataset:
Free-field perceptual evaluation of virtual acoustic rendering algorithms using two head-related impulse response delay treatment strategies
Authors: Rusk Zane T. , Vigeant Michelle C. , Neal Matthew
Published: April 2023

Sound scenes can be auralized over headphones using binaural rendering techniques in conjunction with a set of head-related impulse responses (HRIRs). If the directions of the sound objects to be rendered are known, either virtual loudspeaker or Ambisonic scene-based techniques may be used, each of which introduce spatial and timbral artifacts at lower spatial resolutions. Neal and Zahorik quantitatively evaluated the effect of separately applying the HRIR delays to time-aligned HRIRs for use with virtual loudspeaker array techniques, referred to as the prior HRIR delays treatment strategy (J. Acoust. Soc. Am. 2022). The present work aims to perceptually validate their quantitative results in a listening study. Free-field point sources were binaurally rendered using five different methods: vector-based amplitude panning, Ambisonics panning, direct spherical harmonic transform of the HRIR set, MagLS, and Principal Component-Base Amplitude Panning (Neal and Zahorik, Audio Eng. Soc. AVAR Conference 2022). Renderings were simulated at various directions and spatial resolutions, both with and without the prior HRIR delays treatment strategy and compared to direct HRIR convolution. Broadband noise served as a critical test signal for revealing changes in timbre and localization and a high-resolution binaural head HRIR dataset was used. The subjective data analysis will be presented.
Production and perception of vocalizations by a mouse model of autism
Authors: Charlton Payton , Abdavinejad Sevda , Dent Micheal
Published: April 2023

Autism spectrum disorders (ASDs) are neurodevelopmental disorders that 1 in 54 children are diagnosed with by the age of 8. ASD is characterized by social communication deficits and stereotyped, repetitive behaviors. Several researchers over the years have indicated hearing abnormalities in children with ASD, but it is not clear if these abnormalities contribute to communication deficits. Researchers have utilized several mouse models of autism to study communication deficits as these mouse models produce abnormal ultrasonic vocalizations (USVs) which have similarities to human communication signals. However, very few studies have investigated the hearing abilities of these mouse models, and none have looked at both the production and perception of USVs. We recorded USVs from BTBR to compare the number and proportion of USVs produced in three different social contexts. We also trained a group of BTBR and C57BL/6 mice using an operant conditioning paradigm with positive reinforcement to collect absolute thresholds for four USVs (chevron, upsweep, downsweep, and complex). Absolute thresholds for each strain were compared for differences. These experiments can provide important data for the relationship between perception and production in animal models of ASD.
Longitudinal effects of noise exposure and age on masked auditory brainstem response-derived estimates of auditory filters in laboratory mice
Authors: Burke Kali , Capshaw Grace , Wong Alexandra , Dent Micheal , Lauer Amanda M.
Published: April 2023

The peripheral auditory system in normal-hearing individuals is highly tuned to discriminate very minor changes in frequency, but this frequency resolution may be susceptible to the effects of age and noise. Unfortunately, high-intensity noise damages the auditory periphery and leads to temporary or permanent hearing loss. Using a streamlined method to measure auditory brainstem responses (ABRs) in simultaneous spectrally notched noise, we measured masked thresholds and estimated peripheral frequency selectivity in male and female CBA/CaJ mice across the lifespan before and after noise exposure (8–16 kHz narrowband noise at 100 dBA SPL for 2 ). Mice were grouped by age at the time of noise exposure (44, 144, and 479 days old) and tracked longitudinally. We recorded ABRs to a 16 kHz tone in quiet, in the presence of a broadband masker, and in a masker with a spectral notch of varying widths (1/8th,1/4th, 1/2, 1, and 2 octaves centered around 16 kHz) before and after noise exposure for up to 6 months post-exposure. Our findings show that masking differs with age and time after noise exposure, and that young adult mice (<2 months old at noise exposure) are especially susceptible to traumatic noise.
Behavioral measurements of hearing across the lifespan in several strains of mice
Authors: Ashour Mariam , Charlton Payton , Zaharkin Zachary , Abdavinejad Sevda , Leinbach Cade , Dent Micheal
Published: April 2023

Preliminary studies have indicated a correlation between hearing loss and dementia. However, the relationship between these two factors remains unclear. Utilizing mouse models of Alzheimer’s disease (AD), researchers can begin to understand the relationship between dementia and hearing loss. The present study examined hearing in two AD mouse models (5xFAD and APP/PS1) along with C57BL/6 control mice. Hearing thresholds for 14 kHz tones were collected from young and old, male and female mice using an operant conditioning nose poke procedure with positive reinforcement. Daily thresholds were collected for each mouse and plotted with regression lines to assess the rates of hearing loss. A linear mixed-effects model determined that thresholds differed by age, sex, and genetic background. These studies are important for understanding more about hearing in mouse models of AD, as well as the relationship between AD and hearing loss in the human population.
Biquaternion acoustic interface conditions
Authors: Oba Roger
Published: April 2023

Four Imaginary units corresponding to each space-time dimension create an geometric-algebraic framework for acoustic computations. Multiplication of oriented, spatial imaginary units anti-commute; whereas the time unit commutes with every other imaginary unit. This gives space-time represented as a single biquaternion number. Elementary wave-functions appear as biquaternion valued functions that include non-dimensionalized pressure plus velocity in a single function. In particular, space-time Fourier terms contain propagating exponentials with directional, space-time imaginary units. The pressure-velocity Snell’s law for acoustic propagation into an attenuating half-space demonstrates interface conditions. Matching biquaternion pressure-velocity fields across the interface require a single, biquaternion interface condition, requiring biquaternion functions such as arctangent or logarithm. Consequently, biquaternion transmission and reflection coefficients allow for novel computation for attenuation related phase and amplitude modulation, or impedance, for example. [This research is supported by 6.2 NRL base program sponsored by the Office of Naval Research. Distribution Statement A: Approved for public release, distribution is unlimited.]
Boundary conditions determined by experimentally measured surface properties for wave-based time-domain simulations
Authors: Chen Ziqi , Xiang Ning
Published: April 2023

Boundary conditions are essential and necessary when simulating sound wave propagation inside an enclosed space. In this work, complex-valued surface acoustical properties for the actual materials are obtained from impedance tube measurements. This work applies model-based Bayesian inference to estimate the exact parameters for arbitrary boundary conditions. The Bayesian approach presented in this work demonstrates the capability to predict the complex-valued surface boundary function of frequency in broadband ranges. This approach is equivalently applicable in different boundary models in time domain depending on wave-based numerical methods used for acoustic modelings, such as the spectral element method or finite-difference time-domain method. With the accurately estimated boundary models, the efficacy of the boundary conditions is explored within the time-domain approaches.
A hearing aid “test drive”: Using virtual acoustics to accurately demonstrate hearing aid performance in realistic environments
Authors: Neal Matthew , Zahorik Pavel
Published: April 2023

A common challenge for audiologists when fitting hearing aids is that quiet clinics are unlike the noisy, reverberant places where patients report difficulty. This prevents direct user feedback about hearing aid performance. Virtual acoustics can allow a patient to experience a hearing aid in such environments, without leaving the clinic. A virtual reality (VR) audio-visual demonstration has been created which “test drives” hearing aid features in real-world scenarios, dynamically rendered over custom wired hearing aids and headphones. The scenes were created from 360° photographs and acoustic measurements made in real rooms. A room acoustic model was used for the simulation, tuned to match the measured data. Audio was rendered using principal component-base amplitude panning (PCBAP), which can provide dynamic VR audio with broadband magnitude and phase accuracy. This talk will provide comparisons between PCBAP and higher-order Ambisonics (HOA) for rendering hearing aid beamformers in anechoic and reverberant environments. Results show that PCBAP can render a beamformer’s directivity broadband with 2 to 3 dB error (95%) using only 36 filters in both anechoic and reverberant conditions. Even seventh-order HOA (64 filters) does not achieve similar performance. The talk will also include videos of the demonstration, highlighting viability for clinical applications.
Response to Comments on “Metabolic scaling is the product of life-history optimization”
Authors: White Craig R. , Alton Lesley A. , Bywater Candice L. , Lombardi Emily J. , Marshall Dustin J.
Published: April 2023

Froese and Pauly argue that our model is contradicted by the observation that fish reproduce before their growth rate decreases. Kearney and Jusup show that our model incompletely describes growth and reproduction for some species. Here we discuss the costs of reproduction, the relationship between reproduction and growth, and propose tests of models based on optimality and constraint.
Learning photons go backward
Authors: Roques-Carmes Charles
Published: April 2023

Efficient learning algorithms are implemented in a silicon photonic neural network chip
On authorship and gender equity
Equity for Women in Science: Dismantling Systemic Barriers to Advancement
Cassidy R. Sugimoto and Vincent Larivière
Harvard University Press, 2023. 272 pp.
Authors: Blair-Loy Mary
Published: April 2023

An analysis of research papers finds differences in article production and recognition for women scientists
Following the entangled state of filaments
Authors: Panagiotou Eleni
Published: April 2023

California blackworms serve as a template for the topological design of active matter
Willie May is AAAS president-elect
Authors: Korte Andrea
Published: April 2023

Former under secretary of commerce and NIST director brings a focus on giving back and trust in science
Control issues
Authors: Enserink Martin , Cohen Jon
Published: April 2023

GISAID offers a safe space to post viral genomes. Peter Bogner, its perplexing creator and overseer, may be jeopardizing its future
Astronomers home in on colliding giant black hole duos
Authors: Clery Daniel
Published: April 2023

Merging supermassive binaries could be revealed through variations in optical and radio emissions
Irrigation plan threatens key wetland in Spain
Authors: Amigo Ignacio
Published: April 2023

Andalusia’s plan to aid farmers draws fierce criticism from scientists and European Union
Genetic, historic records reveal origin of lager
Authors: Gibbons Ann
Published: April 2023

Two yeast strains mixed in a German brewing cellar 400 years ago
FAQ: E. Coli: Good, Bad, & Deadly
Authors: Ingerson-Mahar Michael , Reid Ann
Published: April 2023

f you followed news headlines in the spring/summer of 2011, you may recognize E. coli as the agent responsible for outbreaks of serious diarrheal illness in Germany. But this is only one small part of the story of E. coli; its relationship to human health and the food we eat is much more complex. Not all E. coli are bad - in fact most are not - and some are even beneficial! In this report the larger story of E. coli is told: its role in human health, in food, and even in our understanding of our own biology.
Species Delineation and Comparative Genomics within theCampylobacter ureolyticusComplex
Authors: Maki Joel J. , Howard Mondraya , Connelly Sara , Pettengill Matthew A. , Hardy Dwight J. , Cameron Andrew
Published: April 2023

Campylobacter ureolyticusis an emerging pathogen increasingly appreciated as a common cause of gastroenteritis and extra-intestinal infections in humans. Outside the setting of gastroenteritis, little work has been done to describe the genomic content and relatedness of the species, especially regarding clinical isolates.
Helicobacter pylori Modulates Heptose Metabolite Biosynthesis and Heptose-Dependent Innate Immune Host Cell Activation by Multiple Mechanisms
Authors: Hauke Martina , Metz Felix , Rapp Johanna , Faass Larissa , Bats Simon H. , Radziej Sandra , Link Hannes , Eisenreich Wolfgang , Josenhans Christine
Published: April 2023

Bacterial heptose metabolites, intermediates of lipopolysaccharide (LPS) biosynthesis, are novel microbe-associated molecular patterns (MAMPs) that activate proinflammatory signaling. In the gastric pathogen
Helicobacter pylori
, heptoses are transferred into host cells by the Cag type IV secretion system, which is also involved in carcinogenesis.
An Improved Approximation Algorithm for the Capacitated Correlation Clustering Problem
Authors: Ji Sai , Cheng Yukun , Tan Jingjing , Zhao Zhongrui
Published: April 2023

Correlation clustering problem (CorCP) is a classical clustering problem, which clusters data based on the similarity of data set, and has many applications in interaction networks, cross-lingual link detection, and communication networks, etc. In this paper, we study a practical generalization of the CorCP, called the capacitated correlation clustering problem (the capacitated CorCP), by constructing a labeled complete graph. On this labeled complete graph, each vertex represents a piece of data. If two pieces of data are similar, then the edge between the corresponding vertices is marked by a positive label [Formula: see text]. Otherwise, this edge is marked by a negative label −. The objective of the capacitated CorCP is to group some similar data sets into one cluster as far as possible, while satisfying the cluster capacity constraint. To achieve this objective, we shall partition the vertex set of the labeled complete graph into several clusters, each cluster’s size subjecting to an upper bound, so as to minimize the number of disagreements. Here the number of disagreements is defined as the total number of the edges with positive labels between clusters and the edges with negative labels within clusters. Different with the previous algorithm in [18], which subjects to the constraint on the cluster size by a penalty measure, we design an algorithm for the capacitated CorCP to directly output a feasible solution by iteratively constructing clusters based on a preset threshold. Through carefully setting the threshold and sophisticatedly analyzing, our algorithm is proved to have an improved approximation ratio of 5.37. In addition, we also conduct a series of numerical experiments to demonstrate the effectiveness of our algorithm.
Coating of pseudo-plastic material in reverse roll-coating: Mathematical analysis
Authors: Siddique Imran , Iqbal Shaukat , Akram Aimen , Zahid Muhammad
Published: April 2023

This paper describes a theoretical framework and computational methods of a thin layer coating of a non-Newtonian polymeric material while it moves through a tiny space among two inverted rollers. Order of magnitude is accustomed to clarify the nondimensional forms of the governing equations. Semi-analytical solutions of pressure gradient, velocity profile and rate of the flow are acquired via optimal homotopy asymptotic method (OHAM). The graphical representation depicts the physical quantities of the effects of velocity profile ratio k and Weissenberg number We. It is observed that by increasing the values of k and We, velocity profile decreases while pressure distribution increases.
The study of nonlinear dispersive wave propagation pattern to Sharma–Tasso–Olver–Burgers equation
Authors: Younas Usman , Sulaiman T. A. , Ismael Hajar F. , Ren Jingli , Yusuf Abdullahi
Published: April 2023

This paper discusses the wave propagation to the nonlinear Sharma–Tasso–Olver–Burgers (STOB) equation which is used as the governing model in different fields. Natural phenomena are typically complex and nonlinear, defying simple linear superposition. Researchers have been studying a wide range of natural phenomena in depth, and nonlinear science has gradually become a part of people’s consciousness. One of the most significant research questions in nonlinear science centers around the nonlinear evolution equation and its precise solution. We have secured different shapes of the solitary wave solutions including kink-type, shock-type and combined solitary wave solutions with the assistance of recently developed integration tool, namely the new extended direct algebraic method (NEDAM). Additionally, the solutions for the hyperbolic, exponential and trigonometric functions are retrieved. Moreover, based on a comparison of our results to those that are well known, the study indicates that our solutions are innovative. Using proper parameters in numerical simulations and physical explanations, it is possible to demonstrate the significance of the results. The results of this research can improve the nonlinear dynamic behavior of a system and indicate that the methodology employed is adequate. It is proposed that the offered method can be utilized to support nonlinear dynamical models applicable to a wide variety of physical situations. We hope that a wide spectrum of engineering model professionals will find this study to be beneficial.
A non-newtonian fluid flow due to porous media with mass transfer and slip
Authors: Sneha K. N. , Mahesh R. , Mahabaleshwar U. S. , Souayeh Basma
Published: April 2023

The Casson viscous gas fluid flow with mass transpiration and radiation is demonstrated in this paper. A similarity transformation is utilized to interpret the representing construction of nonlinear PDEs by nonlinear ODEs. Then, using an exact analysis of the momentum equation, we constructed the dual solutions to the flow problem. This solution domain aids in the solution of the energy equation under the incomplete gamma function condition. The effect of radiation can also be seen in the heat equation. Physical parameters of interest, such as Brinkman number, porous media, thermal radiation number, induced slip, suction/injection and shear stress, are examined and graphically depicted. The gas slip velocity is used to simulate the slip flow model of the overall mass transfer on the moving sheet. Models of first- and second-order slip are introduced to induce the total mass transfer on the moving sheet. Additionally, the suction that causes the slip velocity rather than surface movement is investigated. The neighboring gases are forced to flow in the opposite direction of sheet movement by the mass suction-induced slip. As a result, the slip-induced suction and sheet movement cause the solution space to increase. The closed-form exact solutions are achieved for both the stretching and shrinking sheet cases. For stretched sheet instances, there is never a uniform solution. However, depending on the values of the Casson and wall mass transfer parameters, the solution in the case of the shrinking sheet may or may not exist, and if it does, it may or may not be unique or may have a dual nature. The research also demonstrates that stronger mass suction is required for a consistent flow of Casson fluid. The impacts of inverse Darcy number, induced slip parameter, Casson fluid and suction/injection on the flow and heat transfer properties of the fluid are examined under the influence of radiation, and the solution of each profile is shown in the form of figures along with the outcomes of the interface velocity and heat transfer rate at the surface.
Different forms for exact traveling wave solutions of unstable and hyperbolic nonlinear Schrödinger equations
Authors: Sherriffe Delmar , Behera Diptiranjan , Nagarani P.
Published: April 2023

In general, Schrödinger’s equations have lots of applications in quantum mechanics. Accordingly, in this paper, some new forms of the exact traveling wave solutions have been obtained for two different types of Schrödinger’s equations, namely the unstable generalized nonlinear Schrödinger’s equation and the hyperbolic nonlinear Schrödinger’s equation. In the literature one can see different forms of the solution by various existing methods. However, the applied methodology or obtained results are sometimes complicated in nature. So here to obtain the new and simple forms of the solutions for both of the equations we have used a very simple and important method known as sine-cosine method. In addition, the probability density functions (PDFs) for both of the considered problems have also been computed. To visualize the impact of the solutions, graphical representations have been made with respect to various parameters. From the results one can see, they are in terms of complex-valued functions. In special cases comparison has also been given. Furthermore, the results are computed and validated using the Maple software.
First principle calculations: The electronic, optical, mechanical, and vibrational properties of TiS3
Authors: Tse Geoffrey
Published: April 2023

The computational predictions of transition-metal tri-chalcogenide (TMTCs) were performed using ab initio density functional theory (DFT) to investigate the electronic band structure, the partial density of states (PDOS), optical absorptions, dielectric functions, complex conductivity, reflectivity, refractive index, electron loss, the Poisson’s ratio, Young’s modulus, bulk-to-shear ratio, and phonon dispersion. The bandgap is measured from the valence band maximum (VBM) to the conduction band minimum (CBM) with the G–Z transitions. This suggests that the material is an indirect bandgap semiconductor. The electronic bandgap ([Formula: see text] is significantly improved with nonlocal hybrid functionals, especially in HSE0s, with [Formula: see text] of 1.0[Formula: see text]eV, which is in excellent agreement with the experimental data. However, our data shows that the HF-LDA exchange correlations significantly overestimate the [Formula: see text] with 7.33[Formula: see text]eV. Also, our optical absorption data indicates a high absorption coefficient of about [Formula: see text][Formula: see text]cm[Formula: see text]. The absorption peak of 7.4[Formula: see text]eV indicates TiS3 can be applied in vacuum ultra-violet (VUV) applications. The reflectivity is also shown to be high, with over 90% of light being reflected. The mechanical stability of the monoclinic system can be testified by our elastic coefficients and the phonon dispersions.
Probability of ionization of the noble gas atoms and ions for high harmonic generation
Authors: Majidi Soheila , Aghbolaghi Reza , Navid Hamzeh Ali
Published: April 2023

Radiation produced in high-order harmonic generation (HHG) process can be utilized to generate attosecond pulses. According to the semi-classical theory of HHG, the maximum emitted photon energy is [Formula: see text]. The ionization potential ([Formula: see text] and ponderomotive energy ([Formula: see text], play important roles in the generated photon energy; therefore, choosing the material and field for HHG is important. Here, investigating the probability of ionization of material in laser and plasmonic field for HHG is important. The ionization probability of noble gases atoms and ions was investigated. Using Ammosov–Delone–Krainov (ADK) model formulas, the parameters for ions and atoms were determined. The results show that helium is the most suitable noble gas atom for HHG in both fields. After ionizing the atoms, the ionization potential increases significantly, and the ionization probability also decreases. Then, ions are better than their corresponding atoms for HHG. Among noble gas atoms and ions, the helium ion is the most suitable for HHG. In addition, the plasmonic field increases the ponderomotive energy and decreases the probability of ionization for all atoms, as shown by the simulation. Then, extreme ultraviolet (XUV) high-energy photon can be efficiently generated using noble gas ions.
DYNAMICAL BEHAVIOR OF A STOCHASTIC FOOD CHAIN CHEMOSTAT MODEL WITH VARIABLE YIELDS
Authors: LIU XIAOJUAN , SUN SHULIN
Published: April 2023

In this paper, we consider a stochastic food chain chemostat model with variable yields. First, we prove the stochastic model has a unique global positive solution. Second, by employing suitable Lyapunov functions, Itô[Formula: see text] formula and some other important inequalities, the existence of a unique ergodic stationary distribution of a stochastic food chain chemostat model is researched, which can help us better understand the statistical characteristics of stochastic food chain chemostat models. Second, we investigate the extinction of the microorganism and the bacteria. Moreover, the case of extinction for bacteria but persistence for microbial species is considered. Finally, some numerical simulations are carried out to illustrate our theoretical results and the influence of the variable yields on the microorganism and the bacteria.
METHODS FOR STATISTICAL EVALUATION OF CONNECTIVITY ESTIMATES IN EPILEPTIC BRAIN
Authors: GRISHCHENKO ANASTASIA A. , VAN RIJN CLEMENTINA M. , SYSOEV ILYA V.
Published: April 2023

Connectivity analysis using modern approaches like Granger causality, partial directed coherence and transfer entropy always demands additional statistical evaluation of the obtained measures for significance. Although for very simple linear autoregressive processes and quasilinear oscillatory activities theoretical estimates are available, the real biological signals are too complex for application of analytical approaches and surrogate data come into use. When pathological activity like epileptic seizures is studied, the question can also rise in a somewhat different way: one asks whether the studied activity is different from the normal one rather than whether connectivity exists. The similar question is also valid if one compares connectivity in different physiological states like sleep and wakefulness.

Here, we study two different approaches to statistical evaluation of transfer entropy estimates in application to the study of spike–wave discharges (SWDs), the main encephalographic manifestation of absence epilepsy, registered in local field potentials of WAG/Rij rats (genetic models). The first approach is to compare distributions of the estimators for the baseline and different stages of pathological activity using traditional measures like t-test with additional corrections for multiple testing. The second approach is to make surrogate data and test whether the achieved estimators differ for surrogate series and for real ones. To support our findings and to understand the methods better, the series simulated using simple oscillatory models of epileptic activity are evaluated in the same way as the experimental data.

We show that the most pronounced phenomena like bidirectional increase in coupling between frontal and parietal cortical areas during SWDs in comparison to baseline activity are considered to be significant by both approaches. But when the less expressed coupling changes are under consideration, the approach base on surrogate data provides less false positives. These results confirm that the primary outcomes of connectivity analysis for absence epilepsy (and not only it) achieved previously are valid although the statistical evaluation of the connectivity estimators was suboptimal.
On P-Hv-modules, their isomorphism theorems and their fundamental relations
Authors: Al Tahan M. , Davvaz B.
Published: April 2023

In this paper, we study a wide class of [Formula: see text]-modules obtained from ordinary [Formula: see text]-modules by using [Formula: see text]-hyperoperations. We define a new [Formula: see text]-[Formula: see text]-module over [Formula: see text]-[Formula: see text]-rings and study several properties of it starting from the isomorphism theorem to the fundamental relation.
Deep Learning for Variable Renewable Energy: A Systematic Review
Authors: Klaiber Janice , Van Dinther Clemens
Published: April 2023

In recent years, both fields, AI and VRE, have received increasing attention in scientific research. Thus, this article’s purpose is to investigate the potential of DL-based applications on VRE and as such provide an introduction to and structured overview of the field.

First, we conduct a systematic literature review of the application of Artificial Intelligence (AI), especially Deep Learning (DL), on the integration of Variable Renewable Energy (VRE). Subsequently, we provide a comprehensive overview of specific DL-based solution approaches and evaluate their applicability, including a survey of the most applied and best suited DL architectures.

We identify ten DL-based approaches to support the integration of VRE in modern power systems. We find (I) solar PV and wind power generation forecasting, (II) system scheduling and grid management, and (III) intelligent condition monitoring as three high potential application areas.
Ultra-High Resolution SVBRDF Recovery from a Single Image
Authors: Guo Jie , Lai Shuichang , Tu Qinghao , Tao Chengzhi , Zou Changqing , Guo Yanwen
Published: April 2023

Existing convolutional neural networks have achieved great success in recovering Spatially Varying Bidirectional Surface Reflectance Distribution Function (SVBRDF) maps from a single image. However, they mainly focus on handling low-resolution (e.g., 256 × 256) inputs. Ultra-High Resolution (UHR) material maps are notoriously difficult to acquire by existing networks because (1) finite computational resources set bounds for input receptive fields and output resolutions, and (2) convolutional layers operate locally and lack the ability to capture long-range structural dependencies in UHR images. We propose an implicit neural reflectance model and a divide-and-conquer solution to address these two challenges simultaneously. We first crop a UHR image into low-resolution patches, each of which are processed by a local feature extractor to extract important details. To fully exploit long-range spatial dependency and ensure global coherency, we incorporate a global feature extractor and several coordinate-aware feature assembly modules into our pipeline. The global feature extractor contains several lightweight material vision transformers that have a global receptive field at each scale and have the ability to infer long-term relationships in the material. After decoding globally coherent feature maps assembled by coordinate-aware feature assembly modules, the proposed end-to-end method is able to generate UHR SVBRDF maps from a single image with fine spatial details and consistent global structures.
Unobtrusive and Acceptable Ways to Gather Participant Perceptions of Community-Based Interventions and Their Effectiveness at Improving Mental Health and Wellbeing: A Literature Review of Peer Reviewed and Grey Literature
Authors: Harrison China R. , Leonard Naomi , Kidger Judi
Published: April 2023

In England, approximately 1 in 6 people have a common mental health condition, with certain groups experiencing worsening mental health since the start of the COVID-19 pandemic. Therefore, improving mental health remains a key priority for policy makers and practitioners. Community-based interventions are increasingly used to improve health and reduce inequalities. Evaluation of such interventions is important to ensure they are effective and to maintain financial support for continued delivery. Hesitation to complete administratively demanding evaluative measures by service users, which may not be suited to evaluating low intensity activities, point to the need to identify acceptable, unobtrusive methods of data collection. This review focuses on identifying unobtrusive methods that have previously been used to examine service user’s perceptions of community-based interventions and their effectiveness, and the acceptability of the methods. A review of peer reviewed, and grey literature was undertaken in July 2022. Literature was identified via six databases, Google searches, and by contacting experts. Literature was included if it described unobtrusive methods to gather service users’ perceptions of an intervention and/or reported the acceptability of such methods. Literature was excluded if it described traditional methods to gather service users’ perceptions of an intervention. Our search identified 930 citations from searching databases (n = 886), Google (n = 40), and from contacting 15 experts directly, and over 300 experts indirectly via three e-mail lists (n = 4). No literature met our inclusion criteria. We report an empty review. There is no peer reviewed or grey literature that describes unobtrusive methods of data collection for mental health and wellbeing focused community-based interventions, or their perceived acceptability. The findings from this review indicate the need to develop unobtrusive methods of data collection in the field of public mental health, suitable for low intensity activities, and examine the acceptability and feasibility of such methods.
Research on a Novel Hybrid Power Supply Scheme with Energy Storage Technology for Tokamak
Authors: Tian Yunxiang , Wu Yanan , Lu Jing , Xu Liuwei , Wang Pengfei , Li Jun , He Rui
Published: April 2023

Megawatt-impulse power generated by Tokamak fusion devices seriously threats to the stable operation of the whole system. The current power supply scheme needs to leave large redundancy to suffer such a huge power impact, resulting in a high cost of the power supply system. Moreover, no reasonable configuration for impulse power and stable power causes unnecessary waste of power supply capacity. The rapid development of energy storage technology provides a potential approach to solve the operation stability problem caused by large amounts of power impact. Thus, a novel hybrid power supply scheme is creatively put forward with centralized energy storage, which can effectively decrease the voltage level of the grid and achieve smooth connection into the public grid when validly compensating for the impulse power. The cost evaluation model and principles are proposed to analyze and assess the economic advantages of the hybrid power supply scheme with centralized energy storage. Finally, a power scenario based on the international thermosnuclear experimental reactor (ITER) is applied as a case study of the cost evaluation model for various schemes, and the results verify that the novel hybrid power supply scheme has benefits on economics and the capacity of the grid over other schemes.
Heavy Metals Accumulation in Water and Human Health Risk Assessment via the Consumption of Labeobarbus intermedius Samples from Borkena River, Ethiopia
Authors: Mohammed Adem , Seid Kerem , Woldegbreal Bereket
Published: April 2023

Concentrations of heavy metals, namely, chromium, lead, cadmium, and copper, were evaluated in the water samples and selected fish organs (Labeobarbus intermedius) from the Borkena River, Ethiopia. The concentrations of these metals were determined using ELICO’s SL-176 double-beam atomic absorption spectrophotometer (AAS). The distribution of heavy metals in water samples analyzed was in the order of magnitude of Cu > Cr > Cd > Pb. The average heavy metal concentrations recorded in the water samples were below the maximum permissible limit established by international and national organizations (WHO, EPA, and USEPA), except for cadmium. Organ specificity was observed for accumulating the selected heavy metals in the order of liver > kidney > muscles. Pearson’s correlation results revealed that Cr and Cd originated from similar sources. Hazard quotient (HQ) and total hazard index (THI) results showed that Cu, Cr, Cd, and Pb contents were safe and might not have adverse public health effects. From the point of carcinogenic risk, this study suggests that the observed Cr and Cd concentrations possibly pose a risk of developing cancer in the future. Controlling waste at the source and implementing remediation strategies should be done to reduce heavy metal pollution in the river.
Construction of Entrepreneurial Environment for College Graduates Based on Big Data Technology
Authors: Zhu Lin , Qiao Wei
Published: April 2023

The 21st century is the era of big data. The wide application of big data in various fields of society has triggered changes in all walks of life, and it has also brought new opportunities and challenges to the cultivation of talents in colleges and universities. The entrepreneurial environment has a strong influence on entrepreneurial activities, and the choice of entrepreneurial environment plays an important role in college students’ entrepreneurship. College students’ entrepreneurship is carried out in a certain environment, and the quality of the entrepreneurial environment will directly affect the effectiveness of college students’ entrepreneurial activities. Under the background of the development of the Internet economy, college students have more ways to start their own businesses. With the support of big data, the types, methods, and performance evaluation of college students’ entrepreneurship can be evaluated based on the effective application of big data. Big data is an important means of constructing an environment for innovation and entrepreneurship. In order to solve the problems of “information island” and low data utilization in the existing innovation and entrepreneurship information platform in colleges and universities, we use big data technology to break the data island and integrate multichannel, multilevel, and multitype data, so as to build a perfect university. The entrepreneurial environment of graduates is of great significance.
Strategic Analysis of Retrial Queues with Setup Times, Breakdown and Repairs
Authors: Tian Ruiling , Wu Xinyu , He Liuqing , Han Yunna
Published: April 2023

This paper considers a repairable M/M/1 retrial queueing model with setup times. Once the system is empty, the server will be closed down to reduce operating costs. And the system will be activated only when a new customer arrives. The customer who activates the server will enter the retrial orbit waiting to reapply for service. The server may break down during the busy period. First, the steady-state probability of the model is obtained by using the probability generating function method. And we derive performance measures of the system such as the queue length of the orbit, the numerical examples are given to show the sensitivity of the performance measures. Second, the cost function is established to find the minimum cost of the system, and we study the effects of some parameters on the cost by numerical examples. Finally, from the perspective of the customer and social planner, we construct the individual utility function and the social welfare function in the almost and fully unobservable cases, and then the optimal strategy of the customers is analyzed.
Wireless Key Generation Scheme Based on Random Permutation and Perturbation in Quasistatic Environments
Authors: Chen Liquan , Lu Yi , Lu Tianyu , Chen Zhaofa , Hu Aiqun
Published: April 2023

The wireless key generation using wireless channel reciprocity has attracted considerable attention in the past two decades. However, there are many challenges for the key generation in quasistatic wireless environments. The key generation rate (KGR) in a quasistatic environment is low, and the randomness of the key is insufficient, which is difficult to meet the secure communication requirements. To tackle these issues, a random permutation and perturbation-based wireless key generation (RPP-WKG) scheme is proposed to improve the KGR and randomness in quasistatic environments. Unlike existing key generation schemes, the RPP-WKG scheme allows the two legitimate users to generate the same secret key based on their random permuted channel measurements. Besides, the perturbed key sequence will be obtained by combining the initial key generated after quantization and the permutation order sequence through the XOR operation. Simulation results show that the proposed RPP-WKG scheme can generate secret keys with a high generation rate, sufficient randomness, a low mismatch rate, and a low correlation coefficient in quasistatic environments.
Effects of Salinity on the Reproductive Cycle of the Mangrove Oyster Crassostrea tulipa in Hatchery Conditions
Authors: Sühnel Simone , José Lagreze-Squella Francisco , Legat Jefferson Francisco Alves , Puchnick-Legat Angela , Strand Åsa , Sühnel Lagreze Serena , Manoel Rodrigues de Melo Claudio
Published: April 2023

Understanding the effects of environmental parameters on the reproductive cycle of shellfish is an essential tool for successful hatchery conditioning management and, consequently, for seed supply to the industry. For the tropical oyster, Crassostrea tulipa, little is known about the factors affecting the maturation process and reproduction, but there are indications that salinity may be of importance. Two experiments were carried out to evaluate the effects of salinity on the reproductive cycle of broodstock of C. tulipa. In the first experiment, oysters were reared in five salinities (40, 35, 30, 25, and 20) for 40 days and gonad histological samples were collected regularly. In a follow up experiment, oysters were reared in variable salinity conditions changing from 40 to 30 or from 20 to 30 over a period of 40 days. Salinity was found to affect the reproductive cycle of C. tulipa. Oysters kept in constant salinity of 30 showed a higher condition index compared to animals in other salinities, with most of the animals in the prespawning stage. Salinity variation was also shown to affect C. tulipa maturation. The prespawning stage was the most observed reproductive stage in low salinity, and high salinity induced a resting stage in the female animals. The results are considered the first step towards developing a protocol for the conditioning of C. tulipa in hatchery conditions.
Associations between Nonrestorative Sleep, Perceived Stress, Resilience, and Emotional Distress in Freshmen Students: A Latent Profile Analysis and Moderated Mediation Model
Authors: Li Shuhan , Liao Yuan , Wu Xiaona , Mei Xiaoxiao , Zeng Yihao , Wu Jiahua , Ye Zengjie
Published: April 2023

Objective. This study aims to explore the mediation role of perceived stress between nonrestorative sleep (NRS) and emotional distress, as well as the moderation role of resilience among NRS, perceived stress, and emotional distress in university students. Method. We recruited 851 students from the Be Resilient to Nursing Career program (BRNC, registration number: NFYKDX002) in June 2022. Nonrestorative sleep scale (NRSS), 10‐item perceived stress scale (PSS‐10), 10‐item Kessler psychological distress scale (K10), and 10‐item Connor–Davidson resilience scale (CD‐RISC‐10) were administered through a paper questionnaire. Latent profile analysis and moderated mediation analysis were performed. Results. Three profiles of perceived stress were identified: high ability‐low stress (24.5%), middle ability‐high stress (65.0%), and low ability‐middle stress (10.5%). The mediation role of perceived stress between NRS and emotional distress was significant (SE = 0.025; 95% confidence interval = −0.369, −0.269). The moderation role of resilience among NRS, perceived stress, and emotional distress was not significant. Conclusion. Heterogeneity exists in freshmen students’ perceived stress. Perceived stress plays a significant mediating role between NRS and emotional distress, while resilience cannot significantly moderate the associations among NRS, perceived stress, and emotional distress. The trial is registered with ChiCTR2000038693.
Supplementary Methods and Key Resources Table 1 from Proteostasis Modulation in Germline Missense von Hippel Lindau Disease
Authors: Chittiboina Prashant , Mandal Debjani , Bugarini Alejandro , Asuzu David T. , Mullaney Dustin , Mastorakos Panagiotis , Stoica Stefan , Alvarez Reinier , Scott Gretchen , Maric Dragan , Elkahloun Abdel , Zhuang Zhengping , Chew Emily Y. , Yang Chunzhang , Linehan Marston , Lonser Russell R.
Published: April 2023

Supplementary Methods and Key Resources Table
Figure S2 from Expression and Therapeutic Targeting of TROP-2 in Treatment-Resistant Prostate Cancer
Authors: Sperger Jamie M. , Helzer Kyle T. , Stahlfeld Charlotte N. , Jiang Dawei , Singh Anupama , Kaufmann Katherine R. , Niles David J. , Heninger Erika , Rydzewski Nicholas R. , Wang Liguo , Wang Liewei , Yang Rendong , Ren Yanan , Engle Jonathan W. , Huang Peng , Kyriakopoulos Christos E. , Slovin Susan F. , Soule Howard R. , Zhao Shuang G. , Kohli Manish , Tagawa Scott T. , Cai Weibo , Dehm Scott M. , Lang Joshua M.
Published: April 2023

Figure S2. Capture Efficiency of TROP-2 Expressing Cell Lines.
Figure S5 from Proteostasis Modulation in Germline Missense von Hippel Lindau Disease
Authors: Chittiboina Prashant , Mandal Debjani , Bugarini Alejandro , Asuzu David T. , Mullaney Dustin , Mastorakos Panagiotis , Stoica Stefan , Alvarez Reinier , Scott Gretchen , Maric Dragan , Elkahloun Abdel , Zhuang Zhengping , Chew Emily Y. , Yang Chunzhang , Linehan Marston , Lonser Russell R.
Published: April 2023

Figure S5
Figure S3 from Proteostasis Modulation in Germline Missense von Hippel Lindau Disease
Authors: Chittiboina Prashant , Mandal Debjani , Bugarini Alejandro , Asuzu David T. , Mullaney Dustin , Mastorakos Panagiotis , Stoica Stefan , Alvarez Reinier , Scott Gretchen , Maric Dragan , Elkahloun Abdel , Zhuang Zhengping , Chew Emily Y. , Yang Chunzhang , Linehan Marston , Lonser Russell R.
Published: April 2023

Figure S3
Figure S5 from Phase I Dose-Escalation Trial of MIW815 (ADU-S100), an Intratumoral STING Agonist, in Patients with Advanced/Metastatic Solid Tumors or Lymphomas
Authors: Meric-Bernstam Funda , Sweis Randy F. , Hodi F. Stephen , Messersmith Wells A. , Andtbacka Robert H.I. , Ingham Matthew , Lewis Nancy , Chen Xinhui , Pelletier Marc , Chen Xueying , Wu Jincheng , Dubensky Thomas W. , McWhirter Sarah M. , Müller Thomas , Nair Nitya , Luke Jason J.
Published: April 2023

T-cell clonal expansion at Cycle 1, Day 8 and Cycle 2, Day 1 relative to pre-treatment, by patient
Figure S1 from Phase I Dose-Escalation Trial of MIW815 (ADU-S100), an Intratumoral STING Agonist, in Patients with Advanced/Metastatic Solid Tumors or Lymphomas
Authors: Meric-Bernstam Funda , Sweis Randy F. , Hodi F. Stephen , Messersmith Wells A. , Andtbacka Robert H.I. , Ingham Matthew , Lewis Nancy , Chen Xinhui , Pelletier Marc , Chen Xueying , Wu Jincheng , Dubensky Thomas W. , McWhirter Sarah M. , Müller Thomas , Nair Nitya , Luke Jason J.
Published: April 2023

Time on MIW815 treatment according to dose level and indication
Supplementary Table S2 from A very long-acting exatecan and its synergism with DNA damage response inhibitors
Authors: Fontaine Shaun D , Carreras Christopher W , Reid Ralph R , Ashley Gary W , Santi Daniel V
Published: April 2023

Pharmacokinetic parameters of 3A after 40 μmol/kg IP administration in mice.