bluuebunny/crossref_metadata_2025_split huggingface dataset:
Targeted MRM-analysis of plasma proteins in frozen whole blood samples from patients with COVID-19: a retrospective study
Authors: Bugrova Anna E. , Strelnikova Polina A. , Kononikhin Alexey S. , Zakharova Natalia V. , Diyachkova Elizaveta O. , Brzhozovskiy Alexander G. , Indeykina Maria I. , Kurochkin Ilya N. , Averyanov Alexander V. , Nikolaev Evgeny N. 
Published: September 2024

Abstract

Objectives
The COVID-19 pandemic has exposed a number of key challenges that need to be urgently addressed. Mass spectrometric studies of blood plasma proteomics provide a deep understanding of the relationship between the severe course of infection and activation of specific pathophysiological pathways. Analysis of plasma proteins in whole blood may also be relevant for the pandemic as it requires minimal sample preparation.

Methods
The frozen whole blood samples were used to analyze 203 plasma proteins using multiple reaction monitoring (MRM) mass spectrometry and stable isotope-labeled peptide standards (SIS). A total of 131 samples (FRCC, Russia) from patients with mild (n=41), moderate (n=39) and severe (n=19) COVID-19 infection and healthy controls (n=32) were analyzed.

Results
Levels of 94 proteins were quantified and compared. Significant differences between all of the groups were revealed for 44 proteins. Changes in the levels of 61 reproducible COVID-19 markers (SERPINA3, SERPING1, ORM1, HRG, LBP, APOA1, AHSG, AFM, ITIH2, etc.) were consistent with studies performed with serum/plasma samples. The best-performing classifier built with 10 proteins achieved the best combination of ROC-AUC (0.97–0.98) and accuracy (0.90–0.93) metrics and distinguished patients from controls, as well as patients by severity.

Conclusions
Here, for the first time, frozen whole blood samples were used for proteomic analysis and assessment of the status of patients with COVID-19. The results obtained with frozen whole blood samples are consistent with those from plasma and serum.
Survey on machine vision-based intelligent water quality monitoring techniques in water treatment plant: Fish activity behavior recognition-based schemes and applications
Authors: Xu Pengfei , Liu Xianyi , Liu Jinping , Cai Meiling , Zhou Ying , Hu Shanshan , Chen Minlian 
Published: September 2024

Abstract
Water is a vital resource essential to the survival and development of all creatures. With the rapid growth of industry and agriculture, people face a severe threat of ecological destruction and environmental pollution while living earthly lives. Water pollution, in particular, harms people’s health the most. As a result, water supply security has become a top priority. As a critical point in water supply safety, monitoring water quality effectively and forecasting sudden water contamination on time has become a research hotspot worldwide. With the rapid development and wide applications of artificial intelligence and computer vision technologies, biological activity identification-based intelligent water quality monitoring methods have drawn widespread attention. They were taking fish activities as the water-quality indicator has gained extensive attention by introducing advanced computer vision and artificial intelligence technologies with low cost and ease of carrying. This article comprehensively reviews recent progress in the research and applications of machine vision-based intelligent water quality monitoring and early warning techniques based on fish activity behavior recognition. In detail, it addresses water quality-oriented fish detection and tracking, activity recognition, and abnormal behavior recognition-based intelligent water quality monitoring. It analyzes and compares the performance and their favorite application conditions. Finally, it summarizes and discusses the difficulties and hotspots of water quality monitoring based on the fish’s abnormal behavior recognition and their future development trends.
Convergence of Peaceman-Rachford splitting method with Bregman distance for three-block nonconvex nonseparable optimization
Authors: Zhao Ying , Lan Heng-you , Xu Hai-yang 
Published: September 2024

Abstract
It is of strong theoretical significance and application prospects to explore three-block nonconvex optimization with nonseparable structure, which are often modeled for many problems in machine learning, statistics, and image and signal processing. In this article, by combining the Bregman distance and Peaceman-Rachford splitting method, we propose a novel three-block Bregman Peaceman-Rachford splitting method (3-BPRSM). Under a general assumption, global convergence is presented via optimality conditions. Furthermore, we prove strong convergence when the augmented Lagrange function satisfies Kurdyka-Łojasiewicz property. In addition, if the association function possessing the Kurdyka-Łojasiewicz property exhibits a distinctive structure, then linear and sublinear convergence rate of 3-BPRSM can be guaranteed. Finally, a preliminary numerical experiment demonstrates the effectiveness.
A memory-type thermoelastic laminated beam with structural damping and microtemperature effects: Well-posedness and general decay
Authors: Derguine Mustafa , Yazid Fares , Boulaaras Salah Mahmoud 
Published: September 2024

Abstract
In previous work, Fayssal considered a thermoelastic laminated beam with structural damping, where the heat conduction is given by the classical Fourier’s law and acting on both the rotation angle and the transverse displacements established an exponential stability result for the considered problem in case of equal wave speeds and a polynomial stability for the opposite case. This article deals with a laminated beam system along with structural damping, past history, and the presence of both temperatures and microtemperature effects. Employing the semigroup approach, we establish the existence and uniqueness of the solution. With the help of convenient assumptions on the kernel, we demonstrate a general decay result for the solution of the considered system, with no constraints regarding the speeds of wave propagations. The result obtained is new and substantially improves earlier results in the literature.
Modeling catalyst effectiveness factor with space-fractional derivative using Haar wavelet collocation method
Authors: Zhokh Oleksii 
Published: September 2024

Abstract
Mass transfer limitations may considerably affect the rate of a heterogeneous catalytic process. The catalyst effectiveness factor is a quantitative measure of the impact of the diffusion process inside a catalyst particle. The effectiveness factor is derived from the solution of the steady-state reaction-diffusion problem. Herein, we simulate the steady-state reaction-diffusion equation with space-fractional derivative and linear reaction kinetics. The solution to the problem is obtained numerically using the Haar wavelet collocation method. The effect of the anomalous diffusion exponent on the catalyst effectiveness factor and process parameters, e.g. reactor volume and catalyst mass, is demonstrated. We anticipate that the process efficiency will be notably improved by changing the diffusion regime from standard to superdiffusive.
Trends of public interest in chronic traumatic encephalopathy (CTE) from 2004 to 2022
Authors: Eggleston Blakelee , Wenske Caitlin , Sweat Carly , Nolan Douglas , Sajjadi Nicholas B. , Mazur Anna , Hartwell Micah 
Published: September 2024

Abstract

Context
Public interest in sport-related medical conditions is known to be affected by social media and pop cultural coverage. The purpose of this project was to assess the relationship between popular culture concerning chronic traumatic encephalopathy (CTE) and analyze of how often this topic was searched on the internet.

Objectives
The objective of this study was to investigate deviations in public interest following player incidents of CTE and the effects that the media has had on public interest in CTE.

Methods
To determine our primary objective, we utilized Google Trends to extract the monthly relative search interest (RSI) in CTE between January 2002 and October 2022. To assess the increase in RSI following a major event, an autoregressive integrated moving average (ARIMA) to predict RSI from March 2012 was created through the end of the period, and calculated the differences between the actual and forecasted values.

Results
Data indicate that RSI increased over time, specifically following the release of the movie Concussion. The peak in RSI (100) over this timespan was following the release of Aaron Hernandez’s autopsy results in 2017, which was 87.8 (95 % CI: 8.7–15.7) higher than forecasted, showing a 720.3 % increase in RSI. While research was published regarding CTE in 2005, the first major spike in search interest occurred after Junior Seau died in 2012. Increasing public interest in CTE continued when media exposure conveyed autopsies of former NFL players, the movie Concussion, and the release of The Killer Inside: The Mind of Aaron Hernandez. Given this increased interest in CTE, we recommend that media broadcasters become more educated on brain injuries, as well as the movement of Brain Injury Awareness Month and Concussion Awareness Day.

Conclusions
There has been an increase in public interest in CTE from 2004 through 2022 with surges following media releases of events involving NFL players. Therefore, physicians and media broadcasters must create partnerships to better educate the public about head injuries and the effects of CTE.
Sequence, gaze, and modal semantics: modal verb selection in German permission inquiries
Authors: Zinken Jörg , Mack Christina 
Published: September 2024

Abstract
Two modal verbs of German are regularly used to express deontic possibility: können (‘can’) and dürfen (‘may’). We examine how speakers select between them, focusing on modal inquiries for permission to carry out some action (darf/kann ich das machen, ‘may/can I do this’). Our data are video-recordings of everyday face-to-face interaction, which we analyze sequentially, drawing on interactional-linguistic methods. We find that local sequential context and aspects of visible turn-design systematically enter into the accomplishment of deontic meaning. (1) Position of the modal inquiry within a course of action informs verb selection: speakers select kann to nominate an action as coming “out of the blue” and initiating a new course of action; darf to nominate an action as sequentially occasioned: a solution to an already known-in-common problem. (2) Bodily behavior (gaze, body posture) guides the interpretation of modal flavor, moving a kann-inquiry towards a deontic or a circumstantial interpretation, and moving a darf-inquiry towards a deontic or a bouletic interpretation. Overall, the study demonstrates the systematic contributions of sequential position and body behavior in the accomplishment of modal meanings.
Periodic INAR(1) model with Bell innovations distribution
Authors: Manaa Abderrahmen 
Published: September 2024

Abstract
In this paper, we introduce a class of periodic integer-valued autoregressive BL-PINAR(1) models with Bell innovations distribution based on the binomial thinning operator.
The basic probabilistic and statistical properties of this class are studied.
Indeed, the first and the second moment periodically stationary conditions are established.
The closed forms of these moments are, under the obtained conditions, derived.
Furthermore, the periodic autocovariance structure is also considered while providing the closed form of the periodic autocorrelation function.
The conditional least squares (CLS), Yule–Walker (YW), weighted conditional least squares (WCLS), and conditional maximum likelihood (CML) methods are applied to estimate the underlying parameters.
The asymptotic properties of the CLS and the YW estimators are obtained.
The performances of these methods are compared through a simulation study.
An application on a real data set is provided.
Integrated optical probing scheme enabled by localized-interference metasurface for chip-scale atomic magnetometer
Authors: Hu Jinsheng , Liang Zihua , Zhou Peng , Liu Lu , Hu Gen , Ye Mao 
Published: September 2024

Abstract
Emerging miniaturized atomic sensors such as optically pumped magnetometers (OPMs) have attracted widespread interest due to their application in high-spatial-resolution biomagnetism imaging. While optical probing systems in conventional OPMs require bulk optical devices including linear polarizers and lenses for polarization conversion and wavefront shaping, which are challenging for chip-scale integration. In this study, an integrated optical probing scheme based on localized-interference metasurface for chip-scale OPM is developed. Our monolithic metasurface allows tailorable linear polarization conversion and wavefront manipulation. Two silicon-based metasurfaces namely meta-polarizer and meta-polarizer-lens are fabricated and characterized, with maximum transmission efficiency and extinction ratio (ER) of 86.29 % and 14.2 dB for the meta-polarizer as well as focusing efficiency and ER of 72.79 % and 6.4 dB for the meta-polarizer-lens, respectively. A miniaturized vapor cell with 4 × 4 × 4 mm3 dimension containing 87Rb and N2 is combined with the meta-polarizer to construct a compact zero-field resonance OPM for proof of concept. The sensitivity of this sensor reaches approximately 9 fT/Hz1/2 with a dynamic range near zero magnetic field of about ±2.3 nT. This study provides a promising solution for chip-scale optical probing, which holds potential for the development of chip-integrated OPMs as well as other advanced atomic devices where the integration of optical probing system is expected.
Examining the escalation of hostility in social media: a comparative analysis of online incivility in China and the United States regarding the Russia–Ukraine war
Authors: Li Yanbo , Su Chris Chao 
Published: September 2024

Abstract

Purpose
This study examines and compares online incivility on China’s Weibo and the U.S.’s X (Twitter) amid the Russia-Ukraine conflict, aiming to unravel how different cultural and geopolitical contexts influence online incivility and identify factors that may influence the occurrence of online incivility in different national contexts.

Design/methodology
This study collected and analyzed over 80,000 social media posts concerning the Russia-Ukraine conflict. By employing machine learning methods and moderation tests, this study compares online incivility in different country contexts.

Findings
Twitter and Weibo show different level of online incivility across eight months in the discussion of Russia-Ukraine war. Conflict frame and negative sentiment both positively predict online incivility on Twitter and Weibo and these two factors both show higher prediction power on Twitter than on Weibo.

Practical implication
This study highlights the necessity for platforms like X (Twitter) and Weibo to refine their moderation systems to address the predictors of online incivility, particularly negative sentiment and conflict framing.

Social implication
This study provides evidence that cultural differences significantly impact online communication patterns and norms. It also finds that non-anonymous users might exhibit more uncivil behavior in politically charged discussions, seeking social approval.

Originality/value
This research is one of the few studies to compare online incivility and its impact factors between China and the United States social media platforms. It shows how cultural differences influence the prevalence and predictors of online incivility and distinguishes the roles of negative sentiment and conflict framing in fostering incivility, with novel findings that challenge conventional beliefs about the impact of user anonymity on online discourse.
Physical and textural properties and sensory acceptability of wheat bread partially incorporated with unripe non-commercial banana cultivars
Authors: Mashau Mpho Edward , Maluleke Ndzalama , Mufamadi Happiness , Ramashia Shonisani Eugenia 
Published: September 2024

Abstract
Unripe banana flour (UBF) is recognised as a functional ingredient because of its nutritional pattern. The influence of substituting wheat flour with unripe non-commercial banana (Luvhele and Mabonde) flours on bread’s physical and textural properties and sensory acceptability was evaluated. Wheat flour was replaced with 2.5, 5, 7.5, and 10% of UBF of Luvhele and Mabonde in bread production. Physical properties such as volume, density, weight, colour, and textural characteristics were determined. Furthermore, a sensory evaluation of the bread was performed. The inclusion of UBF of Luvhele and Mabonde cultivars significantly decreased (P ≤ 0.05) the weight, volume, and specific volume of breads, but a higher density of breads was observed. Breads containing 10% UBF had the highest hardness values (9.92, Luvhele, and 9.96 N, Mabonde). However, breads incorporated with UBF of both banana cultivars had lower chewiness, cohesiveness, and springiness than control bread. The control bread had crumbs and crust that were significantly lighter (P ≤ 0.05) than the crumb of composite breads. Sensory evaluation results showed that bread incorporated with up to 7.5% UBF of both banana cultivars was acceptable in terms of aroma, taste, and overall acceptability.
TWO-DIMENSIONAL ELECTROMECHANICAL WAVES IN MEMS STRUCTURES WITH A NANOGATE
Authors: СОКОЛОВ А.А. , ИВАНОВ С.Д. 
Published: September 2024

Для создания микроэлектромеханических систем (МЭМС) большой удельной механической мощности используется система «подвижный электрод - нанометровый зазор - тонкая кристаллическая плёнка материала с большим значением диэлектрической проницаемости - неподвижный электрод». Показано, что в этой системе возникают двумерные электромеханические волны. Возникновение таких возбуждений ограничивает предельную удельную мощность электромеханических преобразователей-актуаторов, МЭМС-двигателей и генераторов. Однако это явление открывает широкие возможности применения подобных структур.
The system "movable electrode - nanometer gap - thin crystalline film of a material with a high value of dielectric permittivity - fixed electrode" is used to create high specific mechanical power microelectromechanical systems (MEMS). Two-dimensional electromechanical waves are found to arise in such a system. The occurrence of such excitations limits the maximum specific power of electromechanical converters - actuators, MEMS motors, and generators. On the other hand, this phenomenon opens up wide possibilities of using such structures.
MICROPARTICLE DETECTION ON RECOVERED HOLOGRAPHIC IMAGES OF A VOLUME MEDIUM USING NEURAL NETWORKS
Authors: КУЗЬМИН Н.А. , АРАПОВ Ю.Д. 
Published: September 2024

Представлены результаты исследования применения двух нейронных сетей для решения задач детектирования и классификации микрочастиц на изображениях, полученных при восстановлении модельных и экспериментальных голограмм аэрозольных сред с плотностью частиц 180 000 см-3. Одна нейронная сеть обучена на базе данных изображений частиц, размеченных вручную, вторая - на базе данных, созданной с использованием алгоритмов автоматического распределения определённых частей изображений по классам. Проведено сравнение результатов работы двух нейронных сетей, и представлены способы их дальнейшего улучшения.
Results of the study usingtwo neural networks to solve the problem of detection and classification of microparticles in images obtained by restoring model and experimental holograms of aerosol media with a particle density of 180000 cm-3 are reported. The first neural network is trained on a database of manually labeled particle images, while the second neural network is trained on a database based on algorithms for automatically distributing certain parts of images into classes. The results of operation of two neural networks are compared, ways of their further improvement are presented.
MODEL OF THE SERVICE OF ATTESTATION FOR EMPLOYEES OF SMALL AND MEDIUM ENTERPRISES AND ITS IMPLEMENTATION ON AN OPEN PLATFORM
Authors: БУДНИКОВ К.И. , САФЕНРЕЙТЕР Д.А. 
Published: September 2024

Современные малые и средние предприятия, такие как IT-компании, юридические, консультационные, логистические фирмы, в управленческих целях используют множество электронных инструментов для обеспечения внутреннего обмена информацией. Однако существует ряд задач (оформление отпусков, отчётность по проектам, выдача профессиональной литературы и др.), которые не укладываются в существующие модели решений. Некоторые IT-компании в подобных случаях создают собственные сервисы для автоматизации однотипных процедур, но многие фирмы не имеют программных решений для её автоматизации. В работе представлены модель и архитектура программного обеспечения на открытой программной платформе сервиса аттестации сотрудников - одной из вышеобозначенных нестандартных задач. Использование сервиса позволит малым и средним компаниям применить данное гибкое и простое решение для часто возникающих управленческих задач.
Modern small and medium-sized enterprises, such as IT companies, law, consulting, and logistics firms, use many electronic tools for management purposes to ensure internal information exchange. However, there are a number of tasks, such as registration of vacations, project reporting, issuance of professional literature, etc., which do not fit into the existing decision models. Some IT companies in such cases create their own services to automate the same type of procedures, but many companies do not have software solutions for automating it. The paper presents the model and architecture of software on an open software platform of the employee appraisal service - one of the above-mentioned non-standard tasks. Using the service will allow small and medium-sized companies to apply this flexible and simple solution to frequently occurring management tasks.
SOFTWARE MODULE ENCRYPTING USER BIOMETRIC DATA
Authors: ИСМАГИЛОВА А.С. , ЛУШНИКОВ Н.Д. 
Published: September 2024

Рассмотрены особенности автоматизированной реализации хэширования биометрических персональных данных, информационных ресурсов пользователя, информационной системы в целом. Основой созданной математической модели является искусственная нейронная сеть, предназначенная для хэширования биометрических образов в папке администратора учётной записи с применением математических методов. Объект исследования - информационные системы. Предмет исследования - средства защиты информации с использованием биометрической многофакторной аутентификации.
This article describes features of automated implementation encryption of both biometric data and user information resources as a whole. The created mathematical model is based on an artificial neural network designed for encryption of biometric images in the account administrator folder using mathematical methods. The object of the study is the information systems of the PC. The subject of research is the tools of protection of user information using biometric multifactor authentication.