bluuebunny/crossref_metadata_2025 huggingface dataset:
Model of the Adaptive Management System of an Industrial Enterprise in the Conditions of Industry 4.0
Authors:   Institute of Industrial Economics of the NAS of Ukraine, Korytko T. , Pіletska S. ,   National Aviation University
Published: May 2023

The work examines the conceptual and categorical nature of the apparatus of the theory of adaptive management of enterprises in the conditions of digitalization of the economy. The article aims at generalizing the theoretical foundations of adaptive management of an enterprise and developing an ecosystem model of adaptive management of development of economic sectors in the post-war period based on the mechanism of cross-sectoral interaction. The article presents the main approaches to the study of the concept of "adoption". Modern approaches to the management of industrial enterprises in the conditions of digital transformation, which have a cross-industry nature of the process of production of knowledge-intensive products, have been studied. A system of adaptive management of an industrial enterprise is proposed. The system of adaptive management of an industrial enterprise in a changing digital environment determines the order of interaction of many elements of the system, which allows making management decisions and coordinating the interaction of all elements to achieve the strategic goal of an enterprise operating in a constantly changing digital environment. An ecosystem model of cross-industry interaction has been developed and can be an effective mechanism for ensuring the strategic development of industrial enterprises producing high-tech products in the post-war period of Ukraine. For a successful transition to a governance model based on a mechanism of cross-industry cooperation, it is necessary to ensure the formation of an organizational structure of a digital platform of the cross-industry ecosystem that has the potential to scale up to other high-tech industries or facilitate their emergence.
Project Implementation of Corporate Information Systems (ERP and MES) as a Guarantee for Increasing the Operational Efficiency of the Enterprise
Authors:   LLC ", Shevchenko N. ,   Technical University ",   Metinvest Polytechnic", Moiseienko K. ,   LLC "Technical University "Metinvest Polytechnic", Latysheva O. ,   LLC "Technical University "Metinvest Polytechnic"
Published: May 2023

This article delves into the intricacies of implementing corporate information systems, such as Enterprise Resource Planning (ERP) and Manufacturing Execution System (MES). It has been established that the implementation of ERP and MES ensures increased operational efficiency of the enterprise by automating various processes. Additionally, the MES system controls multiple production stages, from raw material input to finished product shipment, thereby reducing errors and increasing task execution speed. ERP and MES also facilitate data and information consistency between different departments, providing all levels of management access to the same company information, streamlining the decision-making process. Furthermore, ERP allows for the collection of data on finance, personnel, logistics, and production in one system, making the planning and decision-making process simpler. The MES system can be used to determine task execution time and distribute it among workers based on their skills and abilities. Lastly, ERP and MES enable companies to prioritize tasks, control their execution, automate processes, improve task execution quality and speed, and ensure data and information consistency between different departments. The article discusses the importance of corporate information systems (CIS) in modern companies with a priority of maintaining a competitive position. The key components of such a system are enterprise resource planning (ERP) and manufacturing execution systems (MES), which ensure the integrity, accuracy, and speed of data exchange between all company units. Implementing ERP and MES is a guarantee of increasing the company's operational efficiency in complex production conditions. CIS help companies ensure data and information unity between different departments, enabling quick and efficient decision-making processes.
Generalized framework for the step response of semiconducting materials to optically switched electrical bias input in terahertz emission spectroscopy
Authors: Unuma Takeya
Published: May 2023

In this paper, a generalized framework for the step response of semiconducting materials to optically switched electrical bias input in terahertz emission spectroscopy was developed, introducing a complex response function into the frequency domain. A comprehensive formula was obtained for calculating the transient current from the poles of the response function under bias field. This formula was found to give transient currents of an exponentially saturated, overshooting, or oscillating nature for three different regimes of charge transport in an isolated energy band. Furthermore, it was clarified how the transient terahertz emission is linked to the response function and its retarded contribution. When either true current or polarization current is linear with respect to bias field and dominates the transient current, the retarded contribution is identified as the small-signal ac complex conductivity. Two different spectral examples of the retarded contribution were given for actual terahertz Bloch oscillations in biased semiconductor superlattices, describing the small-signal response of polarization current under the Wannier–Stark localization and the large-signal response of true current under interminiband mixing.
Semiconductor-on-diamond cavities for spin optomechanics
Authors: Ma Xinyuan , Shandilya Prasoon K. , Barclay Paul E.
Published: May 2023

Optomechanical cavities are powerful tools for classical and quantum information processing that can be realized using nanophotonic structures that co-localize optical and mechanical resonances. Typically, phononic localization requires suspended devices that forbid vertical leakage of mechanical energy. Achieving this in some promising quantum photonic materials such as diamond requires non-standard nanofabrication techniques, while hindering integration with other components and exacerbating heating related challenges. As an alternative, we have developed a semiconductor-on-diamond platform that co-localizes phononic and photonic modes without requiring undercutting. We have designed an optomechanical crystal cavity that combines high optomechanical coupling with low dissipation, and we show that this platform will enable optomechanical coupling to spin qubits in the diamond substrate. These properties demonstrate the promise of this platform for realizing quantum information processing devices based on spin, phonon, and photon interactions.
Analysis of reconstruction quality for computer-generated holograms using a model free of circular-convolution error
Authors: Wang Xiaoting , He Zehao , Cao Liangcai
Published: May 2023

Continuous complex-amplitude computer-generated holograms (CGHs) are converted to discrete amplitude-only or phase-only ones in practical applications to cater for the characteristics of spatial light modulators (SLMs). To describe the influence of the discretization correctly, a refined model that eliminates the circular-convolution error is proposed to emulate the propagation of the wavefront during the formation and reconstruction of a CGH. The effects of several significant factors, including quantized amplitude and phase, zero-padding rate, random phase, resolution, reconstruction distance, wavelength, pixel pitch, phase modulation deviation and pixel-to-pixel interaction, are discussed. Based on evaluations, the optimal quantization for both available and future SLM devices is suggested.
Generation of 978 nm dispersion-managed solitons from a polarization-maintaining Yb-doped figure-of-9 fiber laser
Authors: Li Xin , Zhou Jiaqi , Cheng Zhi , Cao Xinru , Qi Weiao , Li Sha , Cui Shuzhen , Jiang Huawei , Feng Yan
Published: May 2023

Restricted by the narrow gain bandwidth of Yb3+ near 980 nm, it is challenging to generate dispersion-managed (DM) solitons at this wavelength. In this work, we demonstrate the generation of DM solitons at 978 nm in a polarization-maintaining (PM) figure-of-9 fiber laser. Highly coherent pulses with 14.4 nm spectral bandwidth and 175 fs pulse duration are experimentally obtained. To the best of our knowledge, this is the shortest ∼980 nm pulse ever reported in an Yb-doped mode-locked fiber laser. Numerical simulations are performed to reveal the DM solitons’ temporal and spectral evolution inside the figure-of-9 cavity under the condition of a narrow gain bandwidth. This robust and cost-effective 978 nm femtosecond laser is a promising light source for applications such as underwater communication and biophotonics.
Simple polarization-insensitive coherent RoF link with increased capacity
Authors: Huang Long , Lu Zhenguo , Wu Ke , Yao Jianping
Published: May 2023

A simple polarization-insensitive coherent radio-over-fiber (RoF) link with increased spectrum efficiency and transmission capacity is proposed and demonstrated. Instead of using two polarization splitters (PBSs), two 90° hybrids, and four pairs of balanced photodetectors (PDs) in a conventional polarization-diversity coherent receiver (PDCR), a simplified PDCR with only one PBS, one optical coupler (OC), and two PDs is employed in the coherent RoF link. At the simplified receiver, a novel, to the best of our knowledge, digital signal processing (DSP) algorithm is proposed to achieve polarization-insensitive detection and demultiplexing of two spectrally overlapping microwave vector signals as well as the elimination of the joint phase noise originating from the transmitter and the local oscillator (LO) laser sources. An experiment is performed. The transmission and detection of two independent 16QAM microwave vector signals at identical microwave carrier frequencies of 3 GHz with a symbol rate of 0.5 GSym/s over a 25-km single-mode fiber (SMF) is demonstrated. Thanks to the spectrum superposition of the two microwave vector signals, the spectral efficiency as well as the data transmission capacity is increased.
Demonstration of an imaging-free terahertz generation setup using segmented tilted-pulse-front excitation
Authors: Krizsán Gergő , Polónyi Gyula , Kroh Tobias , Tóth György , Tibai Zoltán , Matlis Nicholas H. , Almási Gábor , Kärtner Franz X. , Hebling János
Published: May 2023

A novel, to the best of our knowledge, compact, imaging-free, tilted-pulse-front (TPF) pumped terahertz (THz) source based on a LiNbO3 slab with a small wedge angle (< 8°) and with an echelon microstructure on its input surface has been demonstrated. Single-cycle pulses of more than 40-µJ energy and 0.28-THz central frequency have been generated by 100-mJ, 400-fs pump pulses with 4.1 × 10–4 efficiency and excellent focusability. The peak electric field value focused by a single parabolic mirror was 540 kV/cm. Using 200-fs-long pump pulses, the efficiency increased to 1.0 × 10–3, which is in qualitative agreement with the measured increased diffraction efficiency in the velocity matched diffraction order. A further ∼8x increase in efficiency is expected by pumping a cryogenically cooled wedged echelon with appropriate step sizes, better microstructured surface quality, and antireflection coating on both the input and the output sides. THz generation efficiency maxima were found at ∼2.7-mm crystal thickness for both pump pulse durations. The focused THz beam was diffraction limited within 5% accuracy. Compared to conventional THz sources, this setup is very compact, easy to align, can be pumped by larger beam sizes maintaining the high THz generation efficiency, and produces THz pulses with superior focusability.
Ultra-CEP-stable single-cycle pulses at 2.2  µm
Authors: Kowalczyk Maciej , Nagl Nathalie , Steinleitner Philipp , Karpowicz Nicholas , Pervak Vladimir , Głuszek Aleksander , Hudzikowski Arkadiusz , Krausz Ferenc , Mak Ka Fai , Weigel Alexander
Published: May 2023

Single-cycle optical pulses with controllable carrier-envelope phase (CEP) form the basis to manipulate the nonlinear polarization of matter on a sub-femtosecond time scale. Moreover, nonlinear light–matter energy exchange and frequency conversion processes benefit from longer, infrared wavelengths. We report a highly stable source of 6.9-fs, single-cycle pulses at 2.2 µm, based on a directly diode-pumped Cr:ZnS oscillator with 22.9-MHz repetition rate. Extreme spectral broadening of the oscillator output to a super-octave bandwidth (1.1–3.1 µm) is achieved in a single rutile (TiO2) plate. Excellent agreement with simulations provides a precise understanding of the underlying nonlinear pulse propagation. A comprehensive investigation of alternative broadening materials and additional simulations single out the exceptional broadening in TiO2 due to the favorable interplay of self-focusing, and plasma formation accompanied by self-phase modulation and self-compression. Unprecedented reproducibility of the single-cycle waveforms is ensured by a unique combination of active CEP stabilization with a residual CEP jitter of only 5.9 mrad (0.1 Hz to 11.45 MHz) and a relative intensity noise of 0.036% (0.1 Hz to 1 MHz). The new single-cycle source permits efficient downconversion to the mid-infrared by cascaded intra-pulse difference frequency generation, giving access to sub-femtosecond manipulation of electric currents in low-bandgap materials with an unprecedented degree of control.
Smart laser controlling mixed-mode state
Authors: De Zoysa Menaka , Nakagawa Yuichiro , Izumi Koki , Inoue Takuya , Ishizaki Kenji , Yoshida Masahiro , Gelleta John , Noda Susumu
Published: May 2023

It is desirable to control the mode states of a laser to stabilize it under the influence of environmental factors as well as to tailor the laser beam. Here, we demonstrate mixed-mode-state control in a photonic crystal surface-emitting laser at the chip level by leveraging the mechanism of mutual injection locking via dynamic control of the current injection distribution. We also demonstrate smart control, in which deep learning is applied to accurately predict the current injection distribution required to achieve a targeted beam pattern owing to manipulation of the mixed-mode state, and vice versa. These results could enable smart laser sources essential for advanced laser processing and additive manufacturing applications.
Pupillary response is associated with the reset and switching of functional brain networks during salience processing
Authors: He Hengda , Hong Linbi , Sajda Paul
Published: May 2023

The interface between processing internal goals and salient events in the environment involves various top-down processes. Previous studies have identified multiple brain areas for salience processing, including the salience network (SN), dorsal attention network, and the locus coeruleus-norepinephrine (LC-NE) system. However, interactions among these systems in salience processing remain unclear. Here, we simultaneously recorded pupillometry, EEG, and fMRI during an auditory oddball paradigm. The analyses of EEG and fMRI data uncovered spatiotemporally organized target-associated neural correlates. By modeling the target-modulated effective connectivity, we found that the target-evoked pupillary response is associated with the network directional couplings from late to early subsystems in the trial, as well as the network switching initiated by the SN. These findings indicate that the SN might cooperate with the pupil-indexed LC-NE system in the reset and switching of cortical networks, and shed light on their implications in various cognitive processes and neurological diseases.
The emergence of family medicine in India–A qualitative descriptive study
Authors: Gupta Archna , Prasad Ramakrishna , Abraham Sunil , Nedungalaparambil Nisanth Menon , Bhattacharyya Onil , Landes Megan , Sridharan Sanjeev , Gray Carolyn Steele
Published: May 2023

Countries globally are introducing family medicine to strengthen primary health care; however, for many, that process has been slow. Understanding the implementation of family medicine in a national context is complex but critical to uncovering what worked, the challenges faced, and how the process can be improved. This study explores how family medicine was implemented in India and how early cohort family physicians supported the field’s emergence. In this qualitative descriptive study, we interviewed twenty family physicians who were among the first in India and recognized as pioneers. We used Rogers’s Diffusion of Innovation Theory to describe and understand the roles of family physicians, as innovators and early adopters, in the process of implementation. Greenhalgh’s Model of Diffusion in Service Organizations is applied to identify barriers and enablers to family medicine implementation. This research identifies multiple mechanisms by which pioneering family physicians supported the implementation of family medicine in India. They were innovators who developed the first family medicine training programs. They were early adopters willing to enter a new field and support spread as educators and mentors for future cohorts of family physicians. They were champions who developed professional organizations to bring together family physicians to learn from one another. They were advocates who pushed the medical community, governments, and policymakers to recognize family medicine’s role in healthcare. Facilitators for implementation included the supportive environment of academic institutions and the development of family medicine professional organizations. Barriers to implementation included the lack of government support and awareness of the field by society, and tension with subspecialties. In India, the implementation of family medicine has primarily occurred through pioneering family physicians and supportive educational institutions. For family medicine to continue to grow and have the intended impacts on primary care, government and policymaker support are needed.
‘We do not rush to the hospital for ordinary wounds (suḷu tuvāla)’: A qualitative study on the early clinical manifestations of cutaneous leishmaniasis and associated health behaviours in rural Sri Lanka
Authors: Gunasekara Sonali Dinushika , Wickramasinghe Nuwan Darshana , Agampodi Suneth Buddhika , Fernando Manoj Sanjeewa , Weerakoon Kosala Gayan , Liyanage Chandani , Dikomitis Lisa , Agampodi Thilini Chanchala
Published: May 2023

Background

Knowledge of early clinical manifestations, people’s perceptions and behaviours is crucial in preventing and controlling neglected tropical diseases (NTDs). Cutaneous leishmaniasis is an NTD that causes skin lesions and affects millions worldwide. Delayed healthcare-seeking behaviour leading to prolonged treatment periods and complications is rife among people with cutaneous leishmaniasis. This study examined the patient-reported early clinical manifestations of cutaneous leishmaniasis, local interpretations and associated health behaviours within the socio-cultural context of rural Sri Lanka.

Methodology/principal findings

We conducted a qualitative study among people with cutaneous leishmaniasis in three rural communities in the Anuradhapura district, Sri Lanka. Participants’ experiences were explored through a study-bespoke participant experience reflection journal and in-depth interviews. We analysed the data using a narrative-thematic approach. The study included 30 people with cutaneous leishmaniasis (12 females and 18 males) aged between 18 and 75 years. We identified four major themes during the analysis: 1) patient-reported early clinical manifestations of cutaneous leishmaniasis, 2) local interpretations of the early skin lesion(s), 3) associated actions and behaviours, and 4) the time gap between the initial notice of symptoms and seeking healthcare for cutaneous leishmaniasis. Early clinical manifestations differed among the participants, while the majority misinterpreted them as a mosquito/ant bite, pimple, wart, eczema, macule, or worm infestation. Participants undertook different context-specific self-management actions to cure cutaneous leishmaniasis. We identified an average time gap between the notice of symptoms and the first visit to the healthcare facility ranging from three to twelve months.

Conclusions/significance

Diverse early clinical manifestations, local interpretations, and associated behaviours of people with cutaneous leishmaniasis have led to a substantial delay in healthcare-seeking. The study sheds light on the importance of understanding the manifestations of NTDs within the social context. Our findings will inform designing context-specific health interventions to improve awareness and healthcare-seeking in cutaneous leishmaniasis in rural settings.
Analysis of air pollution in Fenwei Plain in China based on functional spatial autoregressive combined model
Authors: Tang Jinxian , Shi Xiaoping , Hu Xijian
Published: May 2023

The Fenwei Plain is listed as one of the most serious air pollution regions in China, along with Beijing-Tianjin-Hebei and Yangtze River Delta regions. This paper proposed a functional data analysis method to study the environmental pollution problem in the Fenwei Plain of China. Functional spatial autoregressive combined (FSAC) model with spatial autocorrelation of both the response variable and error term is developed. The model takes the SO2 concentration of Fenwei Plain as the dependent variable and the dew point temperature as the independent variable and realizes the maximum likelihood estimation using functional principal component analysis to obtain the asymptotic properties of parameter estimation and the confidence interval of the slope function. According to the findings of the empirical analysis of the Fenwei Plain, the SO2 concentration has significant seasonal characteristics and has decreased year over year for three years in a row. Winter is the season with the highest concentration on the Fenwei Plain, followed by spring and autumn, while summer is the season with the lowest concentration. Winter also has a high spatial autocorrelation. The FSAC model is more effective at fitting the concentration and dew point temperature of the Fenwei Plain in China because its mean square error (MSE) is significantly lower than that of the other models. As a result, this paper can more thoroughly study the pollution problem on the Fenwei Plain and offer guidance for prevention and control.
Relationship between self-management of patients with anxiety disorders and their anxiety level and quality of life: A cross-sectional study
Authors: Cao Xinyu , Feng Mei , Ge Ruyu , Wen Yan , Yang Jing , Li Xiaolin
Published: May 2023

Purpose

To explore the correlation between self-management and anxiety and quality of life in patients with anxiety disorders and to understand whether self-management can influence the relationship between anxiety and quality of life and provide a basis for improving their anxiety and quality of life.

Methods

A cross-sectional survey of 245 patients with anxiety disorders in West China Hospital of Sichuan University was conducted using the Self-Management of Anxiety Disorders Scale, Self-rating anxiety scale (SAS), and World Health Organization Quality of Life-BBREF. The data were then analyzed using descriptive tests and Pearson correlation in SPSS 25. Bootstrap mediated effects tests were used to test the effect relationship between anxiety, quality of life and self-management scores in patients with anxiety disorders and Amos was used to establish the structural equation model.

Results

The results of the correlation analysis showed that the total self-management score was positively correlated with the total quality of life score (r = 0.695, P <0.001), physical domain score (r = 0.552, P <0.001), psychological domain score (r = 0.661, P <0.001), social relations domain score (r = 0.542, P <0.001), and environmental domain score (r = 0.614, P <0.001). Additionally, it was negatively correlated with SAS score (r = –0.470, P <0.001). Self-management partially mediates the relationship between anxiety and quality of life, and the direct effect value of anxiety on quality of life was –0.44. The indirect effect value of self-management was –0.27, accounting for 38% of the total effect value.

Conclusion

Self-management of patients with anxiety disorders was negatively correlated with anxiety and positively correlated with quality of life. It played a partially mediating effect between anxiety and quality of life. We recommend that healthcare providers pay attention to self-management interventions for patients with anxiety disorders to further improve their quality of life.
Learning experience of domestic and international students in blended courses: An ecological perspective
Authors: Han Feifei
Published: May 2023

Adopting an ecological perspective on student learning, this study compares the cognitive, social, and material elements of the learning experience of 193 domestic and 120 international students in blended courses. For cognitive elements, domestic students adopted relatively more deep approaches to learning while international students held more positive perceptions towards the blended learning environment. In terms of the social elements, domestic group had a higher proportion of students who chose to collaborate than international group. The domestic and international students also differed with regard to their experience of material elements that international students were more likely to select the option of showing the answer for solving multiple choice questions. International students particularly need help in the improvement of their collaborative learning experience, which may be enhanced by strategies, such as mixing domestic and international students in group work and training international students’ intercultural communication strategies.
When Terms Become Neologisms: A Contribution to the Study of Neology from the Perspective of Determinologisation
Authors: Humbert-Droz Julie
Published: May 2023

This paper deals with the issues of determinologisation and neology. Even though many existing studies focus on the description of the many aspects of neology, few studies address the relation between determinologisation and neology. For this reason, this paper proposes a different perspective on neological processes, based on an analysis of terms in a corpus that represents different stages of the determinologisation process in particle physics, in French. First, the main semantic phenomena occurring in the determinologisation process are described; then, the terms that acquire new metaphorical meanings in general press are discussed in more detail. Results show that a finer description of the semantic phenomena at stake can lead to a better understanding of the mechanisms allowing for the creation of neologisms in general language.
Potencial regional para implantação de parque eólico
Authors: Gomes Vanielle Aparecida do Patrocinio , Freitas Rodrigo Randow de
Published: May 2023

A energia eólica está desempenhando um papel fundamental na matriz energética do Brasil, um dos motivos é que o país possui características que contribuem para esse tipo de energia, em especial o regime de ventos. A região nordeste brasileira, atualmente, é onde se concentra o maior número de parques eólicos, porém, o litoral do estado do Espírito Santo possui potencial eólico instalável e não conta com nenhum parque eólico instalado. Assim, o objetivo deste estudo é analisar o potencial dos municípios de Linhares, São Mateus e Conceição da Barra, localizados na região norte do estado, de receberem a implantação de parques eólicos, a fim de hierarquizá-los quanto à sua capacidade e potencial desenvolvimento perante a atividade, quando comparados entre si. Para isso, foi utilizado um método de análise multicritério para a tomada de decisão, Analytic Hierarchy Process (AHP). Os resultados apontaram que o indicador considerado mais relevante no momento da tomada de decisão foi o ambiental, e que o município com maior potencial de receber a instalação de um parque eólico é Linhares, e de acordo com a literatura, no litoral norte do município está representada a maior potencialidade. Características do local como vento, ambiente e espaço contribuem com o resultado encontrado.
APPLICATION OF DEEP LEARNING FOR AUGMENTATION AND GENERATION OF AN UNDERWATER DATA SET WITH INDUSTRIAL FACILITIES
Authors:   Bauman Moscow State Technical University, Ahmad A. ,   CIARS LLC,   Financial University under the Government of the Russian Federation, Andriyanov N.A. ,   Financial University under the Government of the Russian Federation, Soloviev V.I. ,   CIARS LLC,   Moscow Technical University of Communications and Informatics, Solomatin D.A. ,   Financial University under the Government of the Russian Federation
Published: May 2023

The purpose of the study: development of a deep learning method for augmentation and generation of a problem-oriented dataset containing industrial objects, including the development of more efficient data generation and augmentation algorithms based on deep learning, which allow you to create more diverse and realistic data corresponding to industrial objects that can be transferred from one style domain to another. The goal set in the study is related to the actual scientific and technical problem of providing computer vision in systems operating in the underwater environment. These can be autonomous uninhabited underwater vehicles that look for breaks in pipelines, analyze oil leaks, the movement of schools of fish, etc. However, today there is not enough data containing the described objects in the conditions of their real existence. Thus, it is necessary to provide the training sample with realistic images. Research methods: the CycleGAN architecture, which converts a dataset containing images of various objects taken in a laboratory or in a conventional aboveground environment into a dataset containing the cha¬racteristics of an underwater environment. To evaluate the developed augmentation algorithm, it is proposed to use image classification by domains, which can be performed using the ResNet convolutional neural network. Results of the study. A tool is presented to solve the problem of the lack of underwater datasets, a deep learning model is developed, which is used to create images with underwater elements. The model works on the principle of a cyclic generative adversarial network, which receives a real image of an industrial facility in surface conditions as an input, and returns a generated image of the same industrial facility in underwater conditions as an output. Visual analysis of images shows that this method is quite adequate. In addition, a test on the classification model showed almost 100% ability of the neural network to distinguish between domains. Conclusion. The study showed that the CycleGAN model can be used to create images of various objects in the underwater environment. In the future, it is possible to search for additional augmentation procedures, in addition, augmentations of the generated set can be used images, which will also provide researchers and developers with sufficient material with industrial facilities in the underwater environment. This can improve the quality of developments.
A METHOD OF FORMING THE STRUCTURES OF DIGITAL DOUBLES OF DOMAIN-ORIENTED OBJECTS IN THE OPEN SOURCE SPACE BASED ON THE FORMALISMS OF THE THEORY OF SETS, GRAPHS, CATEGORY THEORY AND THE THEORY OF GENERATING CHOMSKY LANGUAGES
Authors:   Ufa University of Science and Technology, Antonov V.V. , Kulikov G.G. ,   Ufa University of Science and Technology, Voyakovskaya Ya.S. ,   Ufa University of Science and Technology, Palchevsky E.V. ,   Financial University under the Government of the Russian Federation
Published: May 2023

For the material of this article, open sources can be presented as information posted on the Internet for multiple and unlimited use in the form of machine-readable systematized data, in formats that allow their separate automated processing. Any of the open sources is partially structured content, cha¬racterized by the fact that it consists of fuzzy overlaps and connections formalized by a number of sustainable rules. Aim. The purpose of the study is to produce a mathematical description of the rules for the decomposition of links of virtual images of content based on statistical data of comparisons in order to formulate a digital analogue of the verbal structure. The research is accompanied by the development of a modular cross-platform predictive analytics system for distributed open sources of the social digital environment based on multi-stream data processing technologies. The system is based on the creation of a prototype of a digital twin, which allows monitoring and subsequent analysis of open sources. A cross-platform digital twin can be created for various open sources. Currently, among them, social networks are a priority for the analysis of the studied data. Materials and methods. Turning to the same type of code content, it becomes necessary to formalize the rules for categorizing the semantic meanings of the structure of connections of the object of study, which can be described in the language of graph theory, have a suitable structure in Lie matrices, obey the laws of transitivity and have properties that allow you to recreate connectivity in a quasi-projection. A method is proposed that makes it possible to produce sequential calculus that does not contradict each other according to the basic rules of axiomatics. Results. The method allows for real-time analysis of the data flow of open sources, identification of digital traces of research objects, identification of the structure of their connections. Conclusion. With the help of the proposed group of algorithmized mathematical iterations, it becomes possible to create a combination of local systems with feedback subsystems of predictive analytics of open sources of Internet resources and local systems for various purposes.
Proč tak snadno? Silné a slabé stránky revize vykládání diktatury KSČ a jejího nástupu v únoru 1948
Authors: Sedlák Petr
Published: May 2023

Tato studie je ohlédnutím za dějepisným vykládáním diktatury KSČ v Československu ze strany současných historiků, kteří kritizují stávající „totalitárně-historický“ výklad jako dominantní a nesprávný, neboť má dle nich přeceňovat z politicko-legitimačních a společensky-exkulpačních důvodů rozměr a roli represe v této diktatuře. O tomto kritickém trendu je pojednáno jako o revizi. V textu jsou zhodnoceny silné a slabé stránky revize na příkladu období bezprostředně po skončení druhé světové války, kdy se v zemi komunistická diktatura rodila. Text je koncipován jako příspěvek k zodpovězení otázky, „proč tak snadno“ většina české veřejnosti podpořila nástup této diktatury či mu přihlížela a neodporovala jejímu ustavení v únoru 1948. Konkrétně jsou jako dějepisné možnosti a ohrožení posuzovány přístupy vybraných historiků-revizionistů v rovině teoretických východisek a následně metodologických aplikací.
Plant growth promotion and antifungal activities of the mango phyllosphere bacterial consortium for the management of Fusarium wilt disease in pea (Pisum sativum L.)
Authors: Chowdhury Swapan Kumar , Roy Nayan , Banerjee Mainak , Basnett Deewa
Published: May 2023

Root rot caused by the pathogen Fusarium oxysporum is the number one cause of pea plant (P. sativum L.) death. There are many potential advantages to using rhizobacteria, endophytic bacteria and phyllospheric bacteria for managing plant diseases and promoting plant growth. This study investigated the potentiality of consortium species of bacteria to suppress root rot disease and their ability to promote the growth of pea plants compared with their individual and control plants. A total of 55 phyllospheric bacteria were isolated from mango flower and Bacillus sp. LBF- 02, Bacillus sp. LBF- 03 and Bacillus sp. LBF- 05 showed the most potent antimicrobial activity against root rot pathogens in a dual culture assay. Identification of phyllobacterial strain LBF- 01, LBF- 03 and LBF-05 were done by 16S rDNA sequence analysis using 704f forward primer (50-AGATTTTCCGACGGCAGGTT-30) and 907r reverse primer (50-CCGTCAATTCMTTTRAGTTT-30) with the PCR conditions. Their ability to solubilize phosphate, produce ammonia, siderophore and indole acetic acid, as well as produce extracellular enzymes in vitro was excellent. The results of a greenhouse study found that pea seed treated with consortium isolate significantly increased high germination rates and vigour indexes, as well as shoot and root length, fresh and dry weights, as compared with seed treated with single isolate and control. The defense enzyme activities in consortium treated pots were higher than those in individual and control pots. The plants treated with consortium exhibited higher levels of chlorophyll and carotenoids content in their leaves compared to the untreated control and single treated plants. A significant variation in the chemical profile of pea plants was found (F7,16 ? 2.598; P ? 0.048) resulting from different treatments (T1-T8). After evaluating a variety of growth and microbiological parameters, it was concluded that inoculation with the microbial consortium contributed to raising healthy and vigorously growing pea seedlings in greenhouse conditions, which is applicable in the field in future for sustainable farming.
Impact of top metal electrodes on current conduction in WO3 thin films
Authors: Sharma Savita , Tomar Monika , Gulati Sudha
Published: May 2023

Using radio-frequency (rf) sputtering technique tungsten oxide (WO3) thin films (∼150 nm) were deposited in a gas mixture of Ar and O2 at 10 mTorr pressure on indium tin oxide (ITO) and corning glass substrates. The films were annealed at 400 °C. Structural and optical properties of films were studied. Metal–insulator–metal (MIM) structure was made by depositing metal electrode (Ag, Al, Au) on the prepared WO3 thin films (on ITO substrate) using thermal evaporation technique. Electrical properties of the MIM structure were studied by plotting current versus voltage (I–V) curves for Ag, Al and Au metal electrodes. Current conduction mechanism in WO3 film was determined by plotting and fitting I–V data in different equations of current mechanisms.
(Un)real City: Spatial and Temporal Ghosting in ANU Productions’ The Party to End All Parties
Authors: Radak Tamara
Published: May 2023

As COVID-19-related closures affected theatre and performance venues worldwide, the question of how theatrical practices might be adapted to these new circumstances became particularly pertinent in the context of immersive theatre and site-specific performance, forms which heavily draw on the audience’s experiential encounter with site and performers for its process of meaning-making. Focussing on ANU Productions’ The Party to End All Parties (2020) as a hybrid form of site-specific pandemic theatre set in the cityscape of Dublin, this article investigates how the production translated the “host/ghost” relationship as a central aspect of site-specific theatre to the virtual realm. It demonstrates how this notion is transformed into a thematic thread woven into the performance, arguing that it engages with the host/ghost relationship through spatial as well as temporal “ghosting,” which blurs the lines between the contemporary setting of lockdown Dublin and the historical landmark of O’Connell Bridge as a site inextricably connected to the emergence of Ireland as a republic. At the same time, this notion is explored through the connections between presence and absence, visibility and invisibility (or, indeed, spectrality) in the three characters’ personal journeys.
Bats (Mammalia, Chiroptera) and bat flies (Diptera, Streblidae) found in the largest sandstone cave of Brazil
Authors: Vieira Thiago Bernardi , Correia Letícia Lima , Pena Simone Almeida , Gomes-Almeida Brenda K. , Urbieta Gustavo Lima , Graciolli Gustavo , Palheta Leandra Rose , Caçador Antônio Wesley Barros , M S Aguiar Ludmilla
Published: May 2023

Bats provide essential ecosystem services and some are cave dependent. Caves favour the association of bats with ectoparasite Diptera, however, they are poorly sampled in the Amazon biome. Here we present the first description of a community of bats and bat flies from the largest sandstone cave in Brazil, the Planaltina cave, located in the municipality of Brasil Novo, state of Pará. Diptera were removed from captured bats and taken to the laboratory for identification. From nine species of bats belonging to four families we recorded 17 species of Diptera, 13 were monoxenous. A possible explanation for the monoxenous parasites collected is that flies have poor survival in unusual hosts. These results are an indicator that the Streblid species are host-specific since even if the hosts take refuge in the same cave, they will not share their parasites. Therefore, the present study provides important information on the parasite-host dynamics in a cave, thus highlighting the importance of cave as are essential shelters for bat species and, despite reported cases of cohabitation, mixed colonies are unlikely to form.
Simulation study and experimental validation of a neural network-based predictive tracking system for sensor-based sorting
Authors: Maier Georg , Reith-Braun Marcel , Bauer Albert , Gruna Robin , Pfaff Florian , Kruggel-Emden Harald , Längle Thomas , Hanebeck Uwe D. , Beyerer Jürgen
Published: May 2023

Sensor-based sorting offers cutting-edge solutions for separating granular materials. The line-scanning sensors currently in use in such systems only produce a single observation of each object and no data on its movement. According to recent studies, using an area-scan camera has the potential to reduce both characterization and separation error in a sorting process. A predictive tracking approach based on Kalman filters makes it possible to estimate the followed paths and parametrize a unique motion model for each object using a multiobject tracking system. While earlier studies concentrated on physically-motivated motion models, it has been demonstrated that novel machine learning techniques produce predictions that are more accurate. In this paper, we describe the creation of a predictive tracking system based on neural networks. The new algorithm is applied to an experimental sorting system and to a numerical model of the sorter. Although the new approach does not yet fully reach the achieved sorting quality of the existing approaches, it allows the use of the general method without requiring expert knowledge or a fundamental understanding of the parameterization of the particle motion model.
The Organization of Digital Platforms
Authors: Ametowobla Dzifa , Kirchner Stefan
Published: May 2023

Digital platforms pervade contemporary societies, but sociology currently lacks a general concept for investigating them. Platforms combine technology and organizational elements in particular ways, but existing concepts consider these combinations in a one-sided manner: Business approaches focus on technological features solely in economic relationships, sociological approaches underestimate the relevance of technology for the multiple relationship forms. Extending on the understanding that all digital platforms share a core-periphery architecture, we develop the concept of platform organization for the many instances where this architecture enables and governs a social order through digital interfaces. Our paper contributes to a necessary debate on general concepts for sociological research that reconcile the role of technology with the social orders brought about by diverse digital platforms.
Not the second fiddle: α cell development, identity, and function in health and diabetes
Authors: Brooks Elliott P , Sussel Lori
Published: May 2023

Historic and emerging studies provide evidence for the deterioration of pancreatic α cell function and identity in diabetes mellitus. Increased access to human tissue and the availability of more sophisticated molecular technologies have identified key insights into how α cell function and identity are preserved in healthy conditions and how they become dysfunctional in response to stress. These studies have revealed evidence of impaired glucagon secretion, shifts in α cell electrophysiology, changes in α cell mass, dysregulation of α cell transcription, and α-to-β cell conversion prior to and during diabetes. In this review, we outline the current state of research on α cell identity in health and disease. Evidence in model organisms and humans suggests that in addition to β cell dysfunction, diabetes is associated with a fundamental dysregulation of α cell identity. Importantly, epigenetic studies have revealed that α cells retain more poised and open chromatin at key cell-specific and diabetes-dysregulated genes, supporting the model that the inherent epigenetic plasticity of α cells makes them susceptible to the transcriptional changes that potentiate the loss of identity and function seen in diabetes. Thus, additional research into the maintenance of α cell identity and function is critical to fully understanding diabetes. Furthermore, these studies suggest α cells could represent an alternative source of new β cells for diabetes treatment.
DeepRCI: predicting RNA‐chromatin interactions via deep learning with multi‐omics data
Authors: Xiong Yuanpeng , He Xuan , Zhao Dan , Jiang Tao , Zeng Jianyang
Published: May 2023

Chromatin‐associated RNA (caRNA) acts as a ubiquitous epigenetic layer in eukaryotes, and has been reported to be essential in various biological processes. Here, we propose a highly interpretable computational framework, named DeepRCI, to identify the interactions between various types of RNAs and chromatin. DeepRCI can serve as a useful tool for characterizing RNA‐chromatin interactions and studying the underlying gene regulatory code.

Background

Chromatin‐associated RNA (caRNA) acts as a ubiquitous epigenetic layer in eukaryotes, and has been reported to be essential in various biological processes, including gene transcription, chromatin remodeling and cellular differentiation. Recently, numerous experimental techniques have been developed to characterize genome‐wide RNA‐chromatin interactions to understand their underlying biological functions. However, these experimental methods are generally expensive, time‐consuming, and limited in identifying all potential sites, while most of the existing computational methods are restricted to detecting only specific types of RNAs interacting with chromatin.

Methods

Here, we propose a highly interpretable computational framework, named DeepRCI, to identify the interactions between various types of RNAs and chromatin. In this framework, we introduce a novel deep learning component called variformer and integrate multi‐omics data to capture intrinsic genomic features at both RNA and DNA levels.

Results

Extensive experiments demonstrate that DeepRCI can detect RNA‐chromatin interactions more accurately when compared to the state‐of‐the‐art baseline prediction methods. Furthermore, the sequence features extracted by DeepRCI can be well matched to known critical gene regulatory components, indicating that our model can provide useful biological insights into understanding the underlying mechanisms of RNA‐chromatin interactions. In addition, based on the prediction results, we further delineate the relationships between RNA‐chromatin interactions and cellular functions, including gene expression and the modulation of cell states.

Conclusions

In summary, DeepRCI can serve as a useful tool for characterizing RNA‐chromatin interactions and studying the underlying gene regulatory code.