bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultrasound generation in water via quasi-periodically snapping polymeric core–shell micro-bead excited with radiowaves
Authors: Buonocore Salvatore , Hubarevich Aliaksandr , De Angelis Francesco 
Published: March 2024

AbstractThis work reports the results of a theoretical and numerical study showing the occurrence of stochastically resonating bistable dynamic in polymeric micro-bead of sub-micrometric size with stiff core and soft shell. The system, submerged in water, is excited with a pulsed laser working in the Mega-Hertz frequency range and tuned to match both an optical and acoustic resonance of the system. The laser interacts with the carbon nanotubes embedded in the shell of the polymeric micro-bead generating heat. The concurrent action of the generated heat with the standing acoustic oscillations, gives rise to a stochastically resonating bistable system. The system in fact is forced to switch between two states (identifiable with the creation and organized disruption of a quasi-hexagonal tessellation) via a snap-through-buckling mechanism. This phenomenon results in the unprecedented generation of pressure oscillations. These results open the way to develop a new type of core–shell micro-transducers for radioacoustic imaging applications able to work in the Mega-Hertz frequency range. From a more general thermodynamic perspective, the reported mechanism shows a remarkable periodicity and energy conversion efficiency.
Effects of matching climate change appeals to personal values
Authors: Birkenbach Markus , Egloff Boris 
Published: March 2024

AbstractThe stronger people hold self-enhancing (that is, egoistic or hedonic) values, the less they tend agree with pro-environmental efforts. An exploratory (N = 901) and a confirmatory study (N = 404) examined the effectiveness of pro-environmental messages matched to individuals' values. Findings indicate that strong endorsement of self-transcendent (that is, altruistic or biospheric) values is associated with unspecific endorsement of pro-environmental messages, while individuals endorsing self-enhancement values respond positively only to value-matched appeals.
Study of slope length (L) extraction based on slope streamline and the comparison of method results
Authors: Jiang Jiayan , Luo Mingliang , Bai Leichao , Sang Yunyun , Yang Shuo , Yang Hui 
Published: March 2024

AbstractSlope length is an important factor in soil erosion modeling, and the reasonable automatic extraction of slope length is of great significance in soil erosion research. However, previous studies have mainly focused on the regional scale, and how to effectively extract slope length at the slope scale deserves further research. In this study, a slope length extraction algorithm based on slope streamlines method (SSM) is proposed for the slope length extraction problem in geomorphology, and it is compared with three existing slope length calculation methods. The experimental results show that the new method can quickly calculate the length of slope streamlines, and the extracted slope lengths have better accuracy; the coefficients of determination demonstrates a better overall fitting effect of the four extraction methods, with coefficients of determination exceeding 0.7; this indicates that the use of SSM has similar accuracy and stability to other methods in calculating slope lengths. Among all the calculation methods, SSM has a better overall fitting effect for slope length calculation, and the obtained slope length value domain range is relatively small and concentrated in a small range, which expresses the slope length better.
Distribution and risk assessment of microplastic pollution in a rural river system near a wastewater treatment plant, hydro-dam, and river confluence
Authors: Haque Addrita , Holsen Thomas M. , Baki Abul B. M. 
Published: March 2024

AbstractRivers are the natural drainage system, transporting anthropogenic wastes and pollution, including microplastics (plastic < 5 mm). In a riverine system, microplastics can enter from different sources, and have spatial variance in concentration, physical and chemical properties, and imposed risk to the ecosystem. This pilot study presents an examination of microplastics in water and sediment samples using a single sample collection from the rural Raquette River, NY to evaluate a hypothesis that distinct locations of the river, such as downstream of a wastewater treatment plant, upstream of a hydro-dam, and river confluence, may be locations of higher microplastics concentration. In general, our results revealed the presence of high microplastic concentrations downstream of the wastewater treatment plant (in sediments), upstream of the hydro dam (both water and sediment), and in the river confluence (water sample), compared to other study sites. Moreover, the risk assessment indicates that even in a rural river with most of its drainage basin comprising forested and agricultural land, water, and sediment samples at all three locations are polluted with microplastics (pollution load index, PLI > 1; PLIzone = 1.87 and 1.68 for water and sediment samples respectively), with risk categories between Levels I and IV (“minor” to “danger”). Overall, the river stands in a “considerable” risk category (PRIzone = 134 and 113 for water and sediment samples respectively). The overall objective of this pilot study was to evaluate our hypothesis and advance our understanding of microplastic dynamics in rural river systems, elucidating their introduction from a point source (wastewater treatment plant), transit through an impediment (hydro-dam), and release into a vital transboundary river (confluence of Raquette-St. Lawrence Rivers).
Effects of innovative reinforced concrete slit shaft configuration on seismic performance of elevated water tanks
Authors: Gurkalo Filip , He Chaofan , Poutos Konstantinos , He Na 
Published: March 2024

AbstractElevated water tanks are considered crucial infrastructure due to their significant role in supporting essential services. A strong ground motion may result in a failure or significant damage to a reinforced concrete shaft of an elevated water tank because hysteric energy dissipation is limited to the formation of plastic hinges at the base of the shaft, while the nonlinear properties of the rest of the shaft remain underutilised. The innovative system of assembling RC shafts for elevated water tanks using a slit wall technique was developed to enhance energy dissipation along with the shaft height by introducing slit zones. The comparative nonlinear dynamic analysis between three-dimensional models of elevated water tanks with different shaft diameters and heights was conducted using SAP2000 software. The results of elevated water tanks with slit and solid reinforced concrete shafts were compared. The research findings showed that during a seismic event, the slit zones increased the ductility of the shaft, reduced stress concentration in the lower part of the shaft, and provided uniform stress distribution throughout the shaft's height. The effect of the innovative system is especially noticeable in the elevated water tanks with tall and slender shafts.
PIFiA: self-supervised approach for protein functional annotation from single-cell imaging data
Authors: Razdaibiedina Anastasia , Brechalov Alexander , Friesen Helena , Mattiazzi Usaj Mojca , Masinas Myra Paz David , Garadi Suresh Harsha , Wang Kyle , Boone Charles , Ba Jimmy , Andrews Brenda 
Published: March 2024

AbstractFluorescence microscopy data describe protein localization patterns at single-cell resolution and have the potential to reveal whole-proteome functional information with remarkable precision. Yet, extracting biologically meaningful representations from cell micrographs remains a major challenge. Existing approaches often fail to learn robust and noise-invariant features or rely on supervised labels for accurate annotations. We developed PIFiA (Protein Image-based Functional Annotation), a self-supervised approach for protein functional annotation from single-cell imaging data. We imaged the global yeast ORF-GFP collection and applied PIFiA to generate protein feature profiles from single-cell images of fluorescently tagged proteins. We show that PIFiA outperforms existing approaches for molecular representation learning and describe a range of downstream analysis tasks to explore the information content of the feature profiles. Specifically, we cluster extracted features into a hierarchy of functional organization, study cell population heterogeneity, and develop techniques to distinguish multi-localizing proteins and identify functional modules. Finally, we confirm new PIFiA predictions using a colocalization assay, suggesting previously unappreciated biological roles for several proteins. Paired with a fully interactive website (https://thecellvision.org/pifia/), PIFiA is a resource for the quantitative analysis of protein organization within the cell.
Exploring Online Communication in Self-Identified Autistic Adolescents
Authors: Oates Morgan , McCauley Rebecca , Bean Allison 
Published: March 2024

Purpose:
Social media sites provide autistic youth a familiar space to interact that is devoid of many of the challenges that accompany face-to-face interactions. As such, it is important to determine whether the linguistic profiles observed during online interactions are consistent with face-to-face interactions. This preliminary study took a step in this direction by examining gender differences observed in autistic adolescents in an online forum to determine whether they are consistent with the emerging body of research investigating linguistic gender differences in autistic adolescents.

Method:

We analyzed the entries of self-identified autistic adolescents in an online forum to determine whether autistic girls (
n
= 99) and boys (
n
= 94) differ in their use of linguistic features as a proportion of total words produced. Transcriptions were coded across discourse, lexical, and semantic features and compared to previous research investigating linguistic gender differences in autistic people. Exploratory comparisons were also made to linguistic gender differences in neurotypical people.

Results:
Of the linguistic features we examined, three out of four of the gendered usage patterns observed in the online forum language samples were consistent with previous research on face-to-face communication for autistic adolescents. Only one feature out of 12 occurred in the same gender distribution as previous research on neurotypical communication.

Conclusions:
Autistic girls and boys demonstrate largely consistent gender differences in their language use across in-person and online communication contexts. Interestingly, most of the significant gender differences previously reported in neurotypical communicators were not seen in this sample of autistic adolescents, suggesting that perhaps autistic individuals may linguistically express gender characteristics to a different extent or in a different manner than neurotypical individuals.
Enhanced multivariate singular spectrum analysis‐based network traffic forecasting for real time industrial IoT applications
Authors: Isravel Deva Priya , Silas Salaja , Kathrine Jaspher , Rajsingh Elijah Blessing , J Andrew 
Published: March 2024

AbstractIndustrial IoT (IIoT) applications are widely used in multiple use cases to automate the industrial environment. Industry 4.0 presents challenges in numerous areas, including heterogeneous data, efficient data sensing and collection, real‐time data processing, and higher request arrival rates, due to the massive amount of industrial data. Building a time‐sensitive network that supports the voluminous and dynamic IoT traffic from heterogeneous applications is complex. Therefore, the authors provide insights into the challenges of industrial networks and propose a strategy for enhanced traffic management. An efficient multivariate forecasting model that adapts the Multivariate Singular Spectrum Analysis is employed for an SDN‐based IIoT network. The proposed method considers multiple traffic flow parameters, such as packet sent and received, flow bytes sent and received, source rate, round trip time, jitter, packet arrival rate and flow duration to predict future flows. The experimental results show that the proposed method can effectively predict by contemplating every possible variation in the observed samples and predict average load, delay, inter‐packet arrival rate and source sending rate with improved accuracy. The forecast results shows reduced error estimation when compared with existing methods with Mean Absolute Percentage Error of 1.64%, Mean Squared Error of 11.99, Root Mean Squared Error of 3.46 and Mean Absolute Error of 2.63.
Correction of velocity estimation bias caused by phase‐shift beamforming in acoustic Doppler velocity logs
Authors: Jia Kuankuan , Xu Weijie , Ma Li 
Published: March 2024

AbstractThe performance of Doppler velocity logs (DVLs) in terms of velocity estimate error is directly linked to the geometry of the beam and the pulse transmitted. Beyond a specific transmitted bandwidth, the phase‐shift beamformer can introduce significant errors in velocity estimation. To delineate the operating mechanism of phase‐shift errors within a phased array of acoustic DVLs, the correlation between bottom echo and velocity distribution, in conjunction with the power‐weighted function, was initially examined predicated on spectral estimation theory. Subsequently, numerical and analytical models of the Gaussian‐shaped Doppler spectrum were formulated. The models are employed to evaluate the velocity estimation inaccuracies attributed to phase shifts in extant DVLs, and the comparative results with field experiments corroborate the model's efficacy in forecasting errors. The theoretical findings evaluate the performance limitations of the current phased array transducer design and provide insights for developing new designs. Pool experimental results show that this design effectively reduces the velocity estimation error caused by phase shift under static conditions and in the presence of Doppler frequencies to a level of almost complete elimination of the error compared to conventional configurations.
Rapid Recovery of One-Sided Verruca Vulgaris (Common Wart) with Homoeopathic Treatment: A Case Report
Authors: Midya Ayan , Ghosh Manoj , Bhattacharjee Baidurjya 
Published: March 2024

Abstract
Background Verruca vulgaris or common wart is a very common dermatological condition resulting from human papillomavirus infection affecting epithelial tissues of the skin and mucous membrane. Only destructive therapies are available in modern medicine for the treatment of such conditions.
Case The case was reported at a health camp with warts on the right hand. The patient did not manifest many symptoms in the initial case recording, but on further skilful enquiry elicited symptoms which helped in the selection of remedy. Adequate patience and timely repetition of remedies helped to recover the lesion within 58 days of initiation of treatment.
Conclusion Warts are a very common condition reporting at the clinic of homoeopathic physicians expecting a recovery in a mild manner. This case reports that such a condition can be efficiently treated rapidly by homoeopathy.
Adaptive HD-sEMG decomposition: towards robust real-time decoding of neural drive
Authors: Yeung Dennis , Negro Francesco , Vujaklija Ivan 
Published: March 2024

Abstract

Objective. Neural interfacing via decomposition of high-density surface electromyography (HD-sEMG) should be robust to signal non-stationarities incurred by changes in joint pose and contraction intensity. Approach. We present an adaptive real-time motor unit decoding algorithm and test it on HD-sEMG collected from the extensor carpi radialis brevis during isometric contractions over a range of wrist angles and contraction intensities. The performance of the algorithm was verified using high-confidence benchmark decompositions derived from concurrently recorded intramuscular electromyography. Main results. In trials where contraction conditions between the initialization and testing data differed, the adaptive decoding algorithm maintained significantly higher decoding accuracies when compared to static decoding methods. Significance. Using “gold standard” verification techniques, we demonstrate the limitations of filter re-use decoding methods and show the necessity of parameter adaptation to achieve robust neural decoding.
Analysis of Springback Characteristics of Bending Unloading for Stainless Steel tubes
Authors: Xiong Zhi , Zhao Gangyao , Zhang Ranyang , Guo Zhenghua , Tian Yuan , Yang Zhenyu 
Published: March 2024

Abstract
Stainless steel tubes are widely used in piping systems in aviation, aerospace and other high-tech fields because of their high strength, excellent corrosion and high-pressure resistance, and good resistance to high-temperature oxidation. This paper takes 304 stainless steel pipe as the research object, based on ABAQUS finite element platform, the springback behaviour of stainless steel pipe in the process of precise bending and forming has been studied in depth. The results show that: pipe bending unloading bending springback angle increases with the increase of the bending angle. The results of the study have important theoretical and practical significance for improving the accurate forming and springback of stainless steel tube bending.
Study on the Method of Coating Defect Elimination and Effect on Mechanical Properties
Authors: Meng Chao , Ma Zhandong , Ding Yingying , Wang Jigang 
Published: March 2024

Abstract
The casting method in coating preparation has the advantages of short sample preparation period, small raw material loss, low cost, but the paint film often has bubble defects.The defects were characterized by microscope observation and density balance test. The influence of solvent content and ultrasonic shock on coating defects and the influence of defects on coating mechanical properties were investigated. The results show that the density decreases linearly with the increase of the number of bubbles. With the increase of solvent, the viscosity of paint decreases and the content of bubbles decreases obviously. As solvent increased, coating drying time increased, sample preparation period increased.After ultrasonic shock, bubbles in the surface of the paint and the cured coating were significantly reduced, compared with spraying sample preparation, ultrasonic shock sample preparation period was shortened by more than 30%.The samples with defective mechanical properties were broken during bubble emergence, the tensile strength and elongation at break were significantly reduced, and the dispersion was large, which was invalid data.
Solidification and Super-cooling Behaviors of Silica Nanofluids based on the Molten Eutectic Nitrate Salt
Authors: Sun Wei , Liu Xiangchen , Zhang Hui , Wu Yunyi , Li Baorang 
Published: March 2024

Abstract
SiO2 nano-powders with different particle sizes were used to fabricate nitrate-based nanofluids with the nano-particle concentration arranged from 0.5-4.0 wt.%. The crystallization process of the as-prepared composite and the influence of nanoparticles on the cooling kinetics was analyzed based on experimental data. The research results show that Johnson-Mehl-Avrami equation can be only used to describe the crystallization process of pure eutectic salt, but not suit for nanofluids since the nanoparticles addition can alter the crystallization kinetics of the composites. Depending on the particle size and concentration, nanoparticles addition was found to be able to improve the degree of supercooling and reduce the crystallization completion time by varying degrees. Further verification by a modified JMAK equation shows that with the nanoparticle addition, the component ‘n’ would fluctuate within a certain range, which indicates that the nanoparticles can improve the crystallization process by altering the nucleation mechanism and adjusting the cooling rate resulted from the increased thermal conductivities of the nano-fluids.
Effect of Post-heat Treatment on Microstructure and Mechanical Properties of Laser Cladded High Co-Ni Secondary Hardening Steel Coating
Authors: Qin Renyao , Chen Bingqing , Zhang Guohui , Liu Wei , Li Neng , Huang Shuai , Gao Chao 
Published: March 2024

Abstract
The effect of post-heat treatment on the microstructure and microhardness of laser cladded high Co-Ni secondary hardening steel coating was investigated. The microstructures were analyzed using a SEM equipped with an EDS, and the microhardness was measured with a Vickers indenter. Decomposition of the retained austenite in the coating occurred during the post-heat treatment. As the temperature increased from 200 °C to 600 °C, the quantity of the retained austenite at the boundaries decreased significantly, while that of the needle-shaped M3C cementite and M2C carbides increased. The M2C carbides evidently coarsened when the temperature was higher than 500 °C. The microhardness of high Co-Ni steel coating increased as the temperature of post-heat treatment increased from 200 °C to 400 °C because the fine-scale M2C carbides were coherent with the matrix and increased distinctly in this temperature range. It decreased sharply when the temperature further increased from 500 °C to 600 °C due to both the incoherency of the coarsened M2C carbides and the recovery of dislocations in the carbon-supersaturated matrix.
Preparation and Properties of Graphene/Novel Degradable Plastics Hybrid Low Enthalpy of Phase Transition Materials
Authors: Wang Hongyang , Wang Shu , Feng Jie 
Published: March 2024

Abstract
Graphene (GNs) were chosen to modify hybrid and novel degradable plastics PTLA/polymethyl methacrylate (PMMA). The low enthalpy of melting phase transformation (MEPT) materials (PTLA/PMMA)/GNs were prepared by adding the GNs at different mass fraction(1%, 2%, 3%, 4%) into PTLA/PMMA, and the properties of the hybrid phase change materials were characterized. The results indicated that the MEPT of PTLA/PMMA materials can be significantly reduced with the addition of GNs. The addition of 3% (mass) GNs made the MEPT of PTLA/PMMA material decreased by more than 50%. With the increase of GNs mass fraction, the MEPT hardly changed; Fourier transformed infrared (FT-IR) spectra showed that the interaction between GNs and PTLA/PMMA was physical; Scanning electron microscope (SEM) images showed that the components of GNs and PTLA/PMMA were mixed evenly without phase separation; The thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) cycle performance tests showed that the decomposition temperature of the (PTLA/PMMA)/GNs material was up to 280 °C, and the properties could remain stable during the circulation process. The addition of GNs could effectively reduce the MEPT of the (PTLA/PMMA)/GNs material, increase the heat transfer efficiency, and have good thermal reliability.
Review on Multi-pass Rolling Forming of Thin-walled Ring with Complex Section
Authors: Lu Keliang , Zhao Gangyao , Guo Zhenghua , Zhang Ranyang , Yu Dongliang 
Published: March 2024

Abstract
Superalloy thin-walled ring with complex cross section plays an important role in aerospace, energy and chemical industry, and it has excellent mechanical properties and oxidation resistance in high temperature and pressure environment. However, multi-pass rolling forming of thin-walled ring with complex cross-section of superalloy is a complex forming process that needs to undergo complex uneven plastic deformation under the coupling of multiple fields and factors. The research progress of multi-pass rolling forming of superalloy thin-walled ring with complex cross section is summarized from three aspects: deformation behavior and stress analysis, defect behavior analysis, process optimization and simulation, and several directions that need further research in the future are put forward.