bluuebunny/crossref_metadata_2025_split huggingface dataset:
Milestones for changing the model of scientific-technological development of Russia and overcoming the crisis, by Academician D. S. Lvov
Authors: Nikonova A. A. 
Published: June 2023

Objective: to determine the vector of changes for Russia’s recovery from the crisis and transformation of the innovation model in the context of trends of the 4th scientific and technological revolution. To this end, it is necessary to identify internal systemic problems that have worsened under the influence of sanctions and hinder the country’s scientific and technological development.Methods: the system analysis of phenomena and processes in the scientific, technological and socio-economic spheres is based on the methodological approach by Academician D. S. Lvov to the study of Russia under reforms as a precursor of the systemic economic paradigm developed under the guidance of G. B. Kleyner, a corresponding member of the Russian Academy of Sciences.Results: a decline in the economy, science and social sphere has been revealed, as was predicted by Academician D. S. Lvov, in case the problems of the transition period are not solved. The essential obstacles are revealed, which hinder both the country leaving the bifurcation point and economic growth based on intellectual factors and advanced technologies. Statistics are presented demonstrating the obsolescence of industrial equipment, the reduced investment in the knowledge economy, the stagnation of innovative activity of organizations, and the worsening social imbalances. Based on the analysis results, the conclusions of D. S. Lvov and other scientists and specialists, guidelines are proposed for changing the model of scientific and technological development; the leading directions for changing the state policy are given. Conclusions and recommendations refer to the fundamental factors not only of the model of scientific and technological development, but also of the economic model as a whole.Scientific novelty: consists in a new format of an approach to the formulation of the problem of scientific and technological development of the Russian Federation and its solution through the prism of D. S. Lvov’s scientific heritage. Provisions of his teaching are actualized and their relevance for contemporary еconomy is substantiated in relation to identifying a crisis situation similar to the current one in scale and influence, as well as to determining the ways out of the crisis.Practical significance: the results of the study can become the basis for expanding the system of knowledge within the problem of scientific and technological development, as well as be used in the practical activities of public authorities to develop solutions for crisis management of the economy.
Videogames: escapism or an effective tool for anticorruption enlightenment?
Authors: Melnikova A. L. , Mitsul A. S. 
Published: June 2023

Objective: to analyze video games with anticorruption components and to make a conclusion of the possibility to use them in anticorruption education with various mechanics, plots and narratives.Methods: analysis and summarization of the narrative of commercial video games, studies of the scientific literature and research aimed at revealing the influence of video games on a player’s cognitive abilities, as well as studying the possibilities of using video games in education and enlightenment allowed us to assume that video games may be used as an auxiliary instrument for anticorruption enlightenment.Also, we analyzed the audience of video games players to determine its relevancy for the goals of anticorruption education. According to the goals of anticorruption education identified by us, namely: ability to distinguish corruption and its types, developing negative attitude to corruption and positive attitude to a whistle-blower, illustration of short-term and long-term consequences of corruption – we performed a critical analysis of the video games narrative in order to identify the ones most appropriate for anticorruption education.Results: in the work, we studied the educational potential of video games and determined the efficiency level of their influence of the educational process. By the example of particular game projects, we proved in practice the expediency of using video games as a tool of anticorruption education.Scientific novelty: the article proves inexpediency of assessing video games exclusively as a form of escapism and, for the first time, specifies the examples of practical implementation of commercial video games, not being training programs or simulators, for organization of anticorruption education.Practical significance: the main conclusions of the article can be used in practical activity when developing long-term strategies and programs of anticorruption education, as well as within the activity of developing video games to assess longterm consequences of the narrative used.
Copper(II) Complex With (E)-N′(3,5-Di-Tert-Butil-2-Hedroxybenzilidene)-2-Hydroxybenzohydrazide.
Authors: Fatullayeva Perizad , Mejidov Ajdar , Abdullayev Asim , Lahicova Sevinc , Abbasova Gulu , Quliyeva Esmira , Bayramov Mahammad 
Published: June 2023

Abstract
A mononuclear complex of copper(II) with (E)-N′(3,5-di-tert-butil-2-hedroxybenzilidene)-2-hydroxybenzohydrazide (H3sahz)2 was synthesized. The structure of the complex [Cu(H2sahz)(DMF)] was studied by elemental analysis, IR and EPR spectroscopy, and X-ray structure analysis. It was shown that complex has square planar structure, in which the ligand is tridentate and dianionic. The obtained ligand and complex posses high bactericidal and fungicidal activity.
scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data
Authors: Zhang Ziqi , Zhao Xinye , Qiu Peng , Zhang Xiuwei 
Published: June 2023

Abstract
Single-cell RNA-sequencing (scRNA-seq) has been widely used for disease studies, where sample batches are collected from donors under different conditions including demographic groups, disease stages, and drug treatments. It is worth noting that the differences among sample batches in such a study are a mixture of technical confounders caused by batch effect and biological variations caused by condition effect. However, current batch effect removal methods often eliminate both technical batch effect and meaningful condition effect, while perturbation prediction methods solely focus on condition effect, resulting in inaccurate gene expression predictions due to unaccounted batch effect.

Here we introduce scDisInFact, a deep learning framework that models both batch effect and condition effect in scRNA-seq data. scDisInFact learns latent factors that disentangle condition effect from batch effect, enabling it to simultaneously perform three tasks: batch effect removal, condition-associated key gene detection, and perturbation prediction. We evaluated scDisInFact on both simulated and real datasets, and compared its performance with baseline methods for each task. Our results demonstrate that scDisInFact outperforms existing methods that focus on individual tasks, providing a more comprehensive and accurate approach for integrating and predicting multi-batch multi-condition single-cell RNA-sequencing data.
GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning
Authors: Kwak Bumju , Park Jiwon , Kang Taewon , Lee Byunghan , Yoon Sungroh , Jo Jeonghee 
Published: June 2023

Abstract
In recent years, molecular representation learning has emerged as a key area of focus in various chemical tasks. However, many existing models fail to fully consider the geometric information of molecular structures, resulting in less intuitive representations. Moreover, the widely used message-passing mechanism is limited to provide the interpretation of experimental results from a chemical perspective. To address these challenges, we introduce a novel Transformer-based framework for molecular representation learning, named the Geometry-aware Transformer (GeoT). GeoT learns molecular graph structures through attention-based mechanisms specifically designed to offer reliable interpretability, as well as molecular property prediction. Consequently, GeoT can generate attention maps of interatomic relationships associated with training objectives. In addition, GeoT demonstrates comparable performance to MPNN-based models while achieving reduced computational complexity. Our comprehensive experiments, including an empirical simulation, reveal that GeoT effectively learns the chemical insights into molecular structures, bridging the gap between artificial intelligence and molecular sciences.
Selection Method of Cross Border E-commerce Overseas Warehouse Partners Based on Social Networks Geolocation Prediction and ELECTRE II
Authors: Yuan Honglin , Liu Jia , Guo Yong 
Published: June 2023

Abstract
This paper aims to propose a process and method to help cross border e-commerce enterprises choose overseas warehouse partners. Starting from the development tendency of cross border e-commerce, analyze the needs of cross border ecommerce enterprises for overseas warehouses. Further analyze the important demand of cross border e-commerce enterprises to choose overseas warehouse partners. Then a machine learning model that can predict user locations is obtained by utilizing publicly available data from social networks. Crawl potential consumers’ data on social networks and combine it with machine learning models to calculate the number of potential consumers in different regions. Next, based on distance and the number of potential consumers, calculate the city or city group with the lowest delivery cost. Through the actual interviews with cross border e-commerce enterprises, this paper explores the principles of cross border e-commerce enterprises’ selection and ranking of overseas warehouse partners in the same one city. In response to this decision-making problem, a model of partner selection for overseas warehouses was established based on ELECTRE II methods. The data provided by a cross border e-commerce company in Nanchang, China was used to demonstrate the selection of partners for overseas warehouses and test the effectiveness of the process. The method based on Social Networks Geolocation Prediction and ELECTRE II that this paper attempts to establish try to provide theoretical support and feasible practical solutions for the selection of overseas warehouse partners of cross border e-commerce.
Quasi-real-time range monitoring by in-beam PET: A case for 15O
Authors: Purushothaman Sivaji , Kostyleva Daria , Dendooven Peter , Haettner Emma , Geissel Hans , Schuy Christoph , Weber Ulrich , Boscolo Daria , Dickel Timo , Graeff Christian , Hornung Christine , Kazantseva Erika , Kuzminchuk-Feuerstein Natalia , Mukha Ivan , Pietri Stephane , Roesch Heidi , Tanaka Yoshiki K. , Zhao Jianwei , Durante Marco , Parodi Katia , Scheidenberger Christoph 
Published: June 2023

Abstract
fast and reliable range monitoring method is required to take full advantage of the high linear energy transfer (LET) provided by therapeutic ion beams like carbon and oxygen while minimizing damage to healthy tissue due to range uncertainties. Quasi-real-time range monitoring using in-beam positron emission tomography (PET) with positron-emitting isotopes of carbon and oxygen is a promising approach. The number of implanted ions and the time required for an unambiguous range verification are decisive factors for choosing a candidate isotope. An experimental study was performed at the FRS fragment-separator facility of GSI Helmholtzzentrum für Schwerionenforschung GmbH, Germany, to investigate the evolution of positron annihilation activity profiles during the implantation of 14O and 15O ion beams in a PMMA phantom. The positron activity profile was imaged by a dual-panel version of a Siemens Biograph mCT PET scanner. Results from a similar experiment using ion beams of carbon positron-emitters 11C and 10C performed at the same experimental setup were used for comparison. Owing to their shorter half-lives, the number of implanted ions required for a precise positron annihilation activity peak determination is lower for 10C compared to 11C and likewise for 14O compared to 15O, but their lower production cross-section makes it challenging to produce them with intensities of therapeutical needs. With a similar production cross-section and a 10 times shorter half-life than 11C, 15O provides a faster conclusive positron annihilation activity peak position determination for a lower number of implanted ions compared to 11C. We conclude that 15O is technically the most feasible candidate among positron emitters of carbon and oxygen for quasi-real-time in-beam range monitoring in ion beam therapy. The study also demonstrated that 15O beams of therapeutical quality in terms of purity, energy, and energy spread can be produced by the in-flight production and separation method.
Effects of stricter legislation on coercive measures in child and adolescent psychiatric care: A qualitative interview study with staff
Authors: Moell Astrid , Rozental Alexander , Buchmayer Susanne , Kaltiala Riittakerttu , Långström Niklas 
Published: June 2023

Abstract
Background
Legislators often want to positively affect psychiatric inpatient care and reduce coercion by strictening relevant judicial regulation. However, staff experiences and comprehension of such legal changes are largely unknown, yet essential in obtaining the intended outcomes. We examined staff understanding and implementation of a July 1, 2020 legal strictening in Sweden regarding the use of coercive measures (e.g., restraint, seclusion, and forced medication) in child and adolescent psychiatric inpatient care.
Methods
During 2021, semi-structured interviews were conducted with nine child and adolescent psychiatric inpatient staff (nurses, senior consultants, and head of units). Interviews were transcribed verbatim and analysed using reflexive thematic analysis. Also, we used an implementation outcomes framework to relate data to a wider implementation science context.
Results
Consistent with prior quantitative studies, primarily from adult general psychiatry, our results suggest that the legal strictening did not substantially reduce coercion. Instead, it may have increased a sense of uncertainty among mental health staff and inadvertently contributed to a tendency to disregard the legislation in more complex clinical situations.
Conclusion
At least in a short-term perspective, stricter legislation alone is likely ineffective in reducing coercion in child and adolescent psychiatric inpatient care. Further research should address how to optimize the effects of legal strictening on coercive practices.
Towards a Reliable Spam Detection: An Ensemble classification with rejection option
Authors: Olivo Cleber , Santin Altair , Viegas Eduardo , Jeremias Jhonatan , Viegas Eduardo , Souto Eduardo 
Published: June 2023

Abstract

Many issues are faced in the email environment due to Spam, such as bottlenecks in the email gateways despite substantial investments in servers' infrastructure, wasted computational resources, and ineffective detection despite the demand for frequent spam model updates. This paper proposes a reliable detection model to deal with the non-stationary behavior of spam messages over time. A high detection rate is provided in a shallow classifier wherein only reliable spam message classification is accepted. Unreliable classifications are rejected and forwarded to a deep learning classifier, providing reliability and a high detection throughput. Experiments performed on a new dataset with 1,898,843 real and valid spam messages stored for over ten years show that they (i) can improve its reliability over time, (ii) detect outdated models without human assistance, and (iii) provide a high classification throughput rate.
Fusion of Transformer and ML-CNN-BiLSTM for Network Intrusion Detection
Authors: Xiang Zelin , Li Xuwei 
Published: June 2023

Abstract
Network intrusion detection system (NIDS) can effectively sense network attacks, which is of great significance for maintaining the security of cyberspace. To meet the requirements of efficient and accurate network status monitoring, this paper proposes a NIDS model using deep learning network model. Firstly, GAN-Cross is used to expand minority class sample data, thereby alleviating the problem of minority class imbalance in the original dataset. Then, the Transformer module is used to adjust the ML-CNN-BiLSTM model to enhance the analysis ability of the intrusion model. Finally, the data enhancement model and feature enhancement model are integrated into the NIDS model, the detection model is optimized, the characteristics of network state data are extracted at a deeper level, and the generalization ability of the detection model is enhanced. The simulation experiments using UNSW-NB15 data sets shows that the proposed algorithm can achieve efficient analysis of complex network traffic data sets, with an accuracy of 0.903, and can effectively improve the detection accuracy of NIDS and the detection ability for unknown attacks.
p-Smad3 differentially regulates the cytological behavior of osteoclasts before and after osteoblasts maturation
Authors: Ye Jiapeng , Hua Zhen , Xiao Jirimutu , Shao Yang , Li Shaoshuo , Yin Heng , Wu Mao , Rong Yi , Hong Boweng , Guo Yang , Ma Yong , Wang Jianwei 
Published: June 2023

Abstract
Background
Osteoblasts and osteoclasts can regulate each other through the expression of a series of communication factors. In addition, the effects of p-Smad3 in different maturation stages osteoblasts on osteoclast proliferation, migration, differentiation, apoptosis and bone remodeling have not been clearly elucidated.
Methods and results
We collected conditioned media before and after osteoblast maturation, during which p-Smad3 was blocked or not blocked. The collected conditioned medium was used to interfere with osteoclast, and the proliferation, migration, maturation and differentiation of osteoclast, expression of osteoclast related molecules, and apoptosis of osteoclast were detected. At the same time, the conditioned medium from osteoclast was collected to interfere with osteoblasts and vascular endothelial cells, and the osteogenic ability of osteoblasts and the formation of vascular endothelial cells were detected to reflect the bone remodeling effect of osteoclast. The expression of related coupling molecules in osteoblasts and osteoclasts were detected by qPCR. Our study demonstrated that pre-osteoblasts primarily facilitated the migration, differentiation, and coupling of osteogenesis with osteoclasts. In contrast, matured osteoblasts primarily impeded osteoclast maturation, induced apoptosis, and facilitated coupling with angiogenesis. Additionally, p-Smad3 was found to positively regulate all of these processes.
Conclusions
The results showed thatosteoblasts impact the expression of several communication factors through p-Smad3 both before and after maturation. This shift in communication factors alters the cytological behavior of osteoclasts, causing them to transition from differentiation and osteogenesis coupling to apoptosis and angiogenesis coupling.
The Status, Challenges and Prospects of Communicative Language Teaching in East Wallaga Zone, Ethiopia
Authors: Daba Derara , Teshome Zeleke , Bekele Ebisa 
Published: June 2023

Abstract
Although communicative language teaching-based curriculum was introduced almost three decades ago in Ethiopian context, there is still a gap between what is intended and what is achieved. Therefore, the general objective of this study was to investigate the status, challenges and prospects of communicative language teaching in some selected secondary schools of East Wallaga Zone, Ethiopia. To attain the objective, three basic research questions were framed, and survey research design with mixed approach was employed. The EFL teachers were included in the study through comprehensive sampling from nine secondary schools. Data was collected from the teachers through questionnaire, classroom observation and interview. Convergent mixed-method was used to collect data at parallel times. The data collected through the questionnaire was analyzed through descriptive and inferential statistics using SPSS version 20. Whereas, the data collected through classroom observation was transcribed and narrated by paying attention to what teachers did in the classrooms. Similarly, the data obtained through interview was transcribed, coded and categorized based on the similar themes that were repeatedly said during the interview. The analysis was made in the way it provided a triangulated answer for each research question. Accordingly, the result of the study showed that communicative language teaching was rarely implemented in the study area. Teaching and learning activities were seen as writing notes, and explaining the notes by making students silent. The challenges that hindered the implementation of communicative language teaching were related to teachers, students, wash back of university entrance examination and the schools. Thus, it is recommended that EFL teachers should be given theoretical and practical awareness-raising trainings in relation to communicative language teaching so as to engage learners in communication.
Modules in which kernels of endomorphisms are invariant under all automorphisms
Authors: Cong Quynh Truong , Diem Chi Nguyen Thi , Tamer Kosan M. 
Published: June 2023

Abstract
A right R-module M is called kernel-invariant if the kernels of all endomorphisms of M are invariant under all automorphisms of M, and R is called rightkernel-invariant if RR is kernel-invariant. The classes of kernel-invariant modulesand rings are simultaneous and strict generalization of two fundamental classes ofmodules and rings; namely, duo modules and semicommutative rings. In this paper,we show that the classes of kernel-invariant modules and rings inherits some of theimportant features of the aforementioned classes of modules and rings. For example,(1) Duo modules and uniform non-singular modules are kernel-invariant, (2) Endomorphism rings of kernel-invariant modules are kernel-invariant and they are abelian,(3) Domains are kernel-invariant which are not auto-invariant, (4) Semicommutativerings are kernel-invariant and the converse is true if they are clean.
Optimizing performance and energy consumption in GaN(n)/In x Ga 1- x N/GaN/AlGaN/GaN(p) light emitting diodes by quantum-well number and mole fraction
Authors: SELMANE Naceur , CHEKNANE Ali , KHEMLOUL Fakhereddine , Hilal Hikmat , HELAL Mohammed H.S. , BAYDOGAN Nilgun 
Published: June 2023

Abstract
Light-emitting devices (LEDs) with higher performance, lower energy demand and minimal environmental impact are needed. With wide-band gaps and high emission efficiencies, III-V nitride semiconductors are useful for LEDs in short-wavelength regions. A multiple quantum well (MQW LED), based on InGaN/GaN, is proposed. The structure involves GaN(n)/InxGa1−xN(i)/GaN(i)/AlGaN(p)/GaN(p), where GaN(n) and GaN(p) have different dopants to formulate the junction at which electric field occurs, InxGa1−xN(i) is a 3 nm-thick intrinsic quantum well with (x) as indium mole fraction, GaN(i) is barrier intrinsic layer and AlGaN(p) is a 15 nm-thick electron blocking layer (EBL). Simulation is performed by Tcad-Silvaco. Various characteristics such as current versus voltage (I-V) plots, luminosity power, band diagram, spectrum response, radiative recombination rate and electric field effect, have been investigated. By controlling the InxGa1−xN(i) number of quantum wells and their indium mole fraction (0.18 or lower), all MQW LED characteristics including radiative recombination rate, needed current, spectral power and emitted light wavelength, are optimized. Increasing (x) value improves radiative recombination rate, spectral power and band gap with lower needed current. Devices with 6 quantum wells and x = 0.16 or 0.18 exhibit best performance. For power saving and environmental purposes, optimal mole ratio is x = 0.16.