bluuebunny/crossref_metadata_2025 huggingface dataset:
International legal regulation of the conclusion of agreements on the transfer of technologies and the protection of intellectual property rights during the international transfer of technologies
Authors: SHAKHBAZIAN K.
Published: September 2024

The article is devoted to the study of international legal regulation of the conclusion of agreements on the transfer of technologies and the protection of intellectual property rights during the international transfer of technologies. The focus is on the activities of international state organizations of the UN system (there is studied the source base of the Body of the UN General Assembly – UNCTAD, the UN Economic Commission for Europe – UNECE, the UN Commission on International Trade Rights – UNCITRAL, special attention is paid to the activities in the development of various aspects of technology transfer of the World IntellectualProperty Organization – WIPO; the main aspects of technology transfer of the TRIPS Agreement of the World Trade Organization – WTO are being defined, as well as the ones of the documents of other international organizations in this field: the World Bank, the International Federation of Consulting Engineers – FIDIC, the European Development Fund. In particular, the author examines main principles and characteristic features of the key documents of these international organizations, as well as approaches to the regulation of certain aspects of technology transfer in international law, that have changed over time.
The novelties of the European Union legislation on the liability of Internet intermediary service providers
Authors: HAIDAI K.
Published: September 2024

The article highlights the novelties of legal liability of providers of intermediary services on the Internet introduced by the latest legislation of the European Union. The author analyzes the changes in the concept and conditions of bringing and exempting Internet intermediaries from liability for the actions of users of intermediary services and the damage caused by the provision of such services. The author identifies specific reforms introduced by the Digital Services Act of the European Union. Innovations in other European Union legal acts regulating legal relations involving certain types of intermediary service providers are outlined.
Trends in the application of artificial intelligence technologies in the military and technical sphere
Authors: HURZHII S.
Published: September 2024

The role and significance of artificial intelligence technologies in the military-technical sphere are determined. The principles of using artificial intelligence technologies in the activities of the armed forces are outlined. Attention is focused on the threats and risks posed by the use of artificial intelligence in the military-technical sphere. The peculiarities of the legislative provision of the military use of artificial intelligence technologies in the USA are highlighted. Detailed aspects of the technological implementation of artificial intelligence during the execution of military tasks in the context of the American experience. The conceptual foundations of the russian use of artificial intelligence technologies of a military nature are revealed. The institutional capabilities and achievements of the russian federation in the field of technological support of the needs of the army in the field of artificial intelligence have been determined. The scope and directions of the russian army's innovative developments using artificial intelligence technologies are outlined. It has been updated that unmanned systems are singled out as a special priority for the application of technologies in the field of artificial intelligence of the russian federation. The main global trends in the use of artificial intelligence technologies in the military sphere are revealed. Further directions of improving the field of military use of artificial intelligence technologies have been identified. It was concluded that the development, introduction and approval by the world community of criteria for the responsible use of artificial intelligence for military purposes will contribute to the construction and formation of an international consensus on the responsible handling and use of artificial intelligence technologies.
The global risks of using chat-bots сontrolled by artificial intelligence
Authors: BILAN I.
Published: September 2024

The role and importance of artificial intelligence are defined. The prerequisites and trends of the use of artificial intelligence technologies in the development of chatbots are revealed. The necessity of creations the criteria and indicators for evaluating the effectiveness of chatbots controlled by artificial intelligence are focused. The risks of using artificial intelligence technologies in chatbots, namely: risks of discrimination; cyber security risks; risks to confidential data; ethical risks, validation risks are detailed. The conditions, features and algorithms for using chatbots with the use of artificial intelligence are defined. The conditions, features and algorithms for using chatbots with the use of artificial intelligence are defined. Based on the results of the research, it was concluded that the introduction of chatbots based on generative artificial intelligence has both advantages and global risks associated with the criminal and illegal use of these technologies. The threats and dangers provoked by the chatbots based on artificial intelligence and their consequences are revealed. The directions to minimize the risks of using chatbots controlled by artificial intelligence have been determined.
Рoint for autonomous access to information in the electronic communications network
Authors: STEPANOV V. , HRYSHCHENKO S.
Published: September 2024

The article is devoted to the problem of determination of concept of “point for autonomous access to information in the electronic communications network”, introduced in everyday life by the Law of Ukraine “On electronic communications”. The specified point for such access is determined by the provider of electronic communications services and/or networks. It provides the possibility at the point for autonomous access to information to connect the technical means of a united system that is used by all statutory authorities to intercept/obtain information from electronic communications networks.
Children’s rights in the modern world: challenges and prospects of legal protection
Authors: MANHORA V. , MYKHALCHUK Y. , OLIYNYK V.
Published: September 2024

This research article analyzes the challenges and prospects of legal protection of children's rights in the modern world. We consider the main problems faced by children in different countries, such as violence, child labor, hostilities, and limited access to education and medical services. We provide examples of effective approaches to protecting children’s rights, including the creation of specialized bodies and the development of programs and projects. We pay special attention to the Ukrainian context and suggest measures to improve the situation of children’s rights in Ukraine, including strengthening legislation and conducting educational campaigns. The article describes international standards of children’s rights and innovative approaches to their protection.
Application of fusion property calculations for Kazakhstani oil samples
Authors:   Satbayev University, Ismailova J.A. , Spivakova I.A. ,   Kazakh-British Technical University, Bayanov I.M. ,   Kazakh-British Technical University, Delikesheva D.N. , Khussainova A.R. ,   Polytechnic University of Turin, Kaidar A.M. ,   Satbayev University
Published: September 2024

This study thoroughly investigates the melting properties and solid-state transition temperatures of crude oil from Kazakhstan's oil field, which is critical for predicting wax precipitation. Utilizing advanced laboratory equipment such as gas chromatographs, differential scanning calorimeters (DSC), and pour point testers, we obtained comprehensive data on these parameters. Based on the results, we developed new correlations for the melting point and solid-state transition temperature of crude oil, which demonstrate closer alignment with the reference values for various hydrocarbons' melting points compared to standard prediction models. These findings provide more accurate models for wax deposition, essential for efficient crude oil transportation and processing. The results indicated that implementing these new correlations could lead to significant cost savings by reducing pipeline blockages and maintenance requirements, thereby improving overall operational efficiency.
Review of international criteria for the chemical hazards in the assessment of working conditions at petrochemical facilities
Authors:   REPUBLICAN RESEARCH INSTITUTE FOR LABOR PROTECTION OF THE MINISTRY OF LABOR AND SOCIAL PROTECTION OF THE POPULATION OF THE REPUBLIC OF KAZAKHSTAN, Kurmanov A.M. , Bekmagambetov A.B. ,   REPUBLICAN RESEARCH INSTITUTE FOR LABOR PROTECTION OF THE MINISTRY OF LABOR AND SOCIAL PROTECTION OF THE POPULATION OF THE REPUBLIC OF KAZAKHSTAN, Yedilbayeva L.I. ,   REPUBLICAN RESEARCH INSTITUTE FOR LABOR PROTECTION OF THE MINISTRY OF LABOR AND SOCIAL PROTECTION OF THE POPULATION OF THE REPUBLIC OF KAZAKHSTAN, Yensebayeva A.R. ,   REPUBLICAN RESEARCH INSTITUTE FOR LABOR PROTECTION OF THE MINISTRY OF LABOR AND SOCIAL PROTECTION OF THE POPULATION OF THE REPUBLIC OF KAZAKHSTAN
Published: September 2024

The article considers the practice of implementing standards for occupational exposure limits or OEL (Occupational exposure limits) of chemicals according to foreign studies and sources. Comparative data are provided on the application of the method of comprehensive hygienic assessment of working conditions by country as the legislative basis for the employer's responsibility to ensure the assessment and minimize the impact of hazardous substances on occupational health. The need to introduce a correction factor to the established MPC/MPR in the Republic of Kazakhstan for a six-day working week, following the example of other countries (for example, Brazil, Chile), as well as the use of methods for assessing occupational risk for hazardous substances for which occupational exposure limits have not been established, were considered. An assessment of the safe experience under the influence of dust, including strongly fibro genic aerosols, was considered as an effective measure to limit the effect of hazardous substances on the respiratory organs of workers.
Current condition, geological structure and prospects of oil and gas resources in the Aral sea
Authors:   MERIDIAN PETROLEUM LLP, Kuandykov B.M. , Qarshiev O.A. ,   INSTITUTE OF GEOLOGY AND RESEARCH PROSPECTING FOR OIL AND GAS DEPOSITS, Yeskozha B.A. ,   MERIDIAN PETROLEUM LLP, Yuldasheva M.G. ,   INSTITUTE OF GEOLOGY AND RESEARCH PROSPECTING FOR OIL AND GAS DEPOSITS
Published: September 2024

The article presents the results of the analysis of the current state of study of the Aral Sea region by geological exploration works, and in more detail – of the Aral Sea aquatory. An attempt has been made to correlate new geological data based on the works of Uzbek geologists and materials of seismic surveys of the Kazakh part of the Aral Sea, since the West Aral oil and gas condensate field has been discovered in the Uzbek part of the Aral Sea water area, the productivity of which is associated with the Middle-Upper Jurassic deposits. Taking into account the history of geological development of the territory and formation of oil and gas bearing zones, it is necessary to carry out geological exploration works in the perspective of the unified model of the Aral Sea basin. On the basis of the discussed model of geological structure the prospects of oil and gas potential of separate structural-tectonic zones were predicted, and a series of recommendations were issued.
SimpliScopeX: Enhanced Deep Learning Model for Identification of Microscopic Image of Simplicia Fragments of Medicinal Plant Leaves
Authors: Gunawan Ricky Indra , Rahmatulloh Alam , Rianto Rianto , Darmawan Irfan , Rizal Randi , Patricia Vinda Maharani , Widiyasono Nur
Published: September 2024

As the "Back to Nature" trend progresses, people are switching from chemical medicine to herbal medicine or traditional medicine derived from nature. One form of traditional medicine is the simplicia of medicinal plant leaves. The authenticity of dried simplicia powder of medicinal plants can be determined through a microscopic test by looking at the identifier fragments. However, this remains difficult for humans to identify due to the need for more information on standard references. The dataset from microscopic images of simplicia fragments of medicinal plant leaves still needs to be improved. In addition, manual matching of microscopic test results with standard reference books requires quite a long time. It allows for human error, so it is necessary to apply artificial intelligence that can assist researchers in quickly and accurately predicting the species of medicinal plants and their fragments based on microscopic images. Deep learning performance has shown promising results in computer vision in recent years. Inspired by sophisticated deep learning techniques, the proposed work presents a deep learning method to identify and classify images of microscopic fragments of simple medicinal plants and their enhanced fragments using data augmentation techniques, modified EfficientNetB0 architecture, and the use of the ReduceLROnPlateau function in the training process, which is referred to as "SimpliScopeX". The SimpliScopeX model can also automatically extract microscopic image features of simplicia fragments of medicinal plant leaves. Experimental results using the new dataset show that our proposed model can produce the highest accuracy value of 80.25% for the test data for microscopic image problems of medicinal leaf simplicia. The implications of this research are petrified in the pharmaceutical world in fast and accurate microscopic identification.
The Impact of Public Institutions’ Social Entrepreneurship on Organizational Performance through ESG Management
Authors:   Academic Society of Global Business Administration, Son Dong Woo , Jeong Gap Yeon
Published: September 2024

The purpose of this study is to examine the impact of social entrepreneurship in public institutions on organizational performance through ESG management in a situation where social entrepreneurship is receiving attention as an innovative solution as more and more social problems are emerging in modern society. That is, this study aimed to examine whether social entrepreneurship, which is a public institution's disposition and organizational culture including proactiveness, innovativeness, risk-taking, and social-oriented, affects the sub-elements of ESG management, namely environment, society, and governance management, and improves organizational performance.
A survey method was used to collect data to verify the research hypothesis and model. The survey was conducted for 30 days from March 5 to April 5, 2024, targeting members of public institutions in Gyeongsangbuk-do, and a total of 285 responses were received. After excluding 13 incomplete responses, 262 questionnaires were used in the final analysis. Data were analyzed using the SPSS version 26.0 and AMOS version 26.0 statistical programs.
The analysis results showed that the social entrepreneurship spirit of public institutions, including proactiveness, innovativeness, risk-taking, and social-oriented, affects the sub-elements of ESG management, namely environment, society, and governance management, thereby improving organizational performance. The results of this study suggest that the social entrepreneurship spirit of public institutions is an important factor in improving management strategy and performance.
The Relationship Between Entrepreneurial Orientation and Business Performance: An Analysis of Differences by Stages of the Firm Life Cycle
Authors:   Academic Society of Global Business Administration, Jung Il Mo , Han Yong Hee
Published: September 2024

This study empirically analyzes the impact of the managerial environment, CEO's vision and strategy, and organizational management system on entrepreneurial orientation in domestic companies, as well as the relationship between entrepreneurial orientation and business performance. Additionally, it examines how these relationships differ across various stages of the corporate life cycle.
The analysis utilizes data from the 2022 Entrepreneurial Activity Survey (Company Edition) conducted by the Korea Youth Entrepreneurship Foundation, designated as official statistics by Statistics Korea, which surveyed 3,120 companies.
The results of the empirical analysis are as follows First, business environment, vision and strategy are significantly positively related to entrepreneurial orientation. In terms of firm life cycle, we find that firms in the start-up phase are slightly more sensitive to the business environment, while vision and strategy are important regardless of firm life cycle. Second, the operating system of the firm does not have a statistically significant effect on entrepreneurial orientation, and the hypothesis is rejected. It seems that it is important to have an operating system in place from the start-up stage in terms of the business life cycle. Third, a significant positive relationship was found between entrepreneurial orientation and managerial performance, and entrepreneurial orientation had a positive impact on managerial performance regardless of the firm's life cycle.
The results of this study expand the factors influencing entrepreneurial orientation and provide theoretical and policy insights by analyzing the corporate life cycle, which is rarely addressed in the field of entrepreneurship, by distinguishing between the startup phase and other phases.
A study on the policy direction of development and utilization of curriculum for successful management activities of small enterprises
Authors:   Academic Society of Global Business Administration, Choi Shin Hea , Lee Jungmin
Published: September 2024

This study aims to systematically provide learning opportunities for small enterprises through the development of educational policies targeted at small enterprises.
Additionally, it seeks to establish a policy framework that supports the business activities of small enterprises through the systematic operation of educational programs.
Given the low entry barriers, many people may consider transitioning to small enterprises. However, frequent occurrences of business startups and closures are observed, especially when insufficient time is dedicated to preparation. Even with thorough consideration and market entry, only a few businesses grow into small businesses, necessitating preemptive planning for exit strategies alongside startup efforts.
By providing systematic education, this study aims to deliver detailed knowledge about the current status to both small enterprise and those considering entering the small enterpris sector, thereby contributing to the success of their business activities.
To this end, the study examines the characteristics of current small enterprise policies and the current status of educational policy implementation, with the goal of determining whether these policies are effectively applicable to both small enterprises and general adult learners.
A basic framework for the curriculum was proposed by setting the educational goals and contents according to each period of start-up-growth-rehabilitation for small enterprises and presenting the contents by level of basic-in-depth-application.
As a result, the study seeks to establish a foundation for the successful business activities of small enterprises.
Mechanism of Quantified-Self Consciousness in Customer Participation Behavior: Based on Self Concept Theory
Authors:   Academic Society of Global Business Administration, Jin Hong , Guo Wen Jing , Kim Min Ji
Published: September 2024

The era of big data has driven quantified-self activity to become a common mass-life practice, yet there is a necessity of research on how to navigate through this problem now that quantified-self activity often produces results that are contrary to the original intent and creates data anxiety. Therefore, understanding the psychological dimension of the quantified-self would give new perspectives on individual and organization oriented positive outcomes. This study proposed the concept of quantified-self consciousness (QSC) based on the psychological dimension and investigated how customers' QSC influences their participation behavior in online contexts. Utilizing self-concept theory, this study incorporate extroversion and tie strength as moderating variables to refine the framework from both individual and organization perspectives. The results informed that QSC positively influences customers' information, task, and personal interactive behavior and is mediated by the variable arousal. At the individual level, customers with extroversion were more inclined to join in participation behavior, whereas at organization level, tie strength in the online community only moderated the path of QSC acting on task interactive behavior. These findings provide positive implications for how customers should act in the face of quantitative information to alleviate the anxiety and aversion associated with information overload, and provides companies with concrete strategies for managing online marketing.
AI and IoT for Energy Optimization
Authors: Kumari Sharma Nirma , Joseph Ghibi Joel
Published: September 2024

The Energy sector all over the world is faced with the challenges on how to control wastages to its minimal bearing point with a view to optimize its consumption. The generation is capital intensive and the demand by the consumers is very high and the global world cannot wait to have a carbon free zone. Hence, the need for a greener and clean energy without leakages or wastages by the consumers The research work is focusing on the role of Artificial Intelligence (AI) and Internet of Things (IOT) for energy optimization in Nigeria, a country where the demand for energy is far higher than its supply in both government buildings, residential buildings as well as market and business places. The emergence of Internet of Things (IOT), smart technologies and AI (artificial intelligence) has made it possible to integrate renewable energy solutions together with a view to meet up consumer’s demand and to create a carbon free environments to improve Energy generation without causing major harm to the environment as well as reducing energy wastages by both the generating company and the consumers in the Building Construction Industry (BCI) With our current nature of power supply, Artificial Intelligence and Internet of Things are needed to synchronize the conventional power source and other backups sources like the fuel (diesel and PMS) generators and solar for steady power supply and by extension, steady work flow in the offices, residential buildings, business shops and market places. The Building Construction Industry in Nigeria has a market size of about USD$105.8 billion in 2023 with an annual expectancy growth projection of >3% for a population of about 225.604 million people hence, the urgent need for more energy generation and proper optimization. Finally, this paper will also look at some of the challenges with AI and IOT technologies in building structures as well as possible recommendations for a better greener carbon free environment
Sustainable Waste Management: Innovations and Best Practices
Authors: Rani T. Sobha , Madhurima Yendluri Jaya
Published: September 2024

The expanding worldwide trash challenge, caused by urbanization, rising populations, and financial growth, necessitates innovative and long-term waste management techniques. This article investigates several sophisticated techniques and standards of excellence in the management of green waste, with a focus on the use of cutting-edge technologies, community involvement, and comprehensive policy frameworks. It highlights the waste hierarchy, circular economy, and life cycle thinking as essential components to efficient waste management. Developments in technology such as modern waste-to- energy technologies, sophisticated recycling methods, and smart waste management systems are assessed for their potential contribution to sustainability. The paper also includes case studies from San Francisco, Freiburg, and Kami katsu, which demonstrate successful environmentally conscious waste practices. Furthermore, it emphasizes the importance of legislative frameworks, public-private partnerships, and community involvement in achieving sustainable waste management. Regardless of constant obstacles such as affordability, technological boundaries, behavioral barriers, and regulatory inconsistencies, the article concludes that a strategic combination of innovative technologies, strong policies, and active involvement by the public is essential for addressing the worldwide waste disaster and obtaining a cleaner happier more likely and more sustainable future.
Harmonizing Urban Futures: Integrating Smart and Sustainable City Principles
Authors: Ammar Marah , Utomo Sudarno , Sarminingsih Anik
Published: September 2024

In an era marked by rapid urbanization and evolving urban challenges, understanding the intricate relationship between sustainable and smart city principles is paramount for shaping resilient and future- ready cities. This study delves into the integration of sustainable and smart city principles, aiming to illuminate their interconnectedness in contemporary urban contexts. By analyzing the latest academic understanding of this integration, the research contributes to the development of comprehensive frameworks guiding urban development strategies. Through bibliometric analysis using VOSviewer, key factors such as air quality, intelligent transportation systems, internet connectivity, urban growth, solar energy, and learning processes emerge as central to understanding the interplay between smart and sustainable cities. This analysis informs efforts towards integrated urban development and resilience. The study hypothesizes that smart city principles build upon sustainable city foundations, as evidenced by interrelated indicators across urban domains. Recognizing the significance of this integration, urban planners and policymakers can craft strategies that prioritize sustainability, innovation, and inclusivity, thus shaping resilient and future-ready cities. By elucidating the symbiotic relationship between smart and sustainable city concepts, this research offers insights crucial for addressing contemporary urban challenges and fostering sustainable urban development globally.
The Spine of Haryana: Ecological and Historical Significance of Aravalli Hills
Authors: Baliyan Renu
Published: September 2024

Natural resources are crucial for the development of civilizations; men-nature relationship is the axis of it and the Aravalli hills in India hold significant importance as the oldest mountain range on earth. Spanning across four states, they play a crucial role in shaping the climate and biodiversity of the region. Not only do they act as a watershed between the Indus and Ganga basins, but their forested patches also serve as a vital defence against air pollution and soil erosion. Recognizing their ecological value, the Ministry of Environment and Forest of India has implemented regulations to protect the Aravalli Range from activities causing environmental degradation. However, despite these efforts, the range faces threats such as deforestation, land degradation, encroachments, developmental activities, and mining, leading to adverse consequences like desertification, dust storms, loss of biodiversity, and air pollution. It is imperative to address these challenges to safeguard the ecological balance and natural heritage of the Aravalli hills. The aim of this present paper is to highlight the ecological as well as other importance of Aravalli hills in Haryana.
The impact of digitalization and economic diversification on economic growth: evidence from Saudi Arabia
Authors: Neffati Mohamed , Jbir Rafik
Published: September 2024

The present study aims to assess the impact of economic diversification and digitalization on economic growth in Saudi Arabia during the period 1990–2021. We have looked into this relationship in both the overall economic and non-oil economic sectors using the autoregressive distributed lag (ARDL) cointegration approach. The empirical results offer compelling evidence that economic diversification and digitization affect economic growth both directly and indirectly through their effects on non-oil GDP growth. The findings indicate that there is a long-run dynamic between economic growth, economic diversification, and digitalization. In the long run, digitalization contributes to the progress of non-oil economic growth and, therefore, sustainable economic growth. In addition, the causality test revealed that economic diversification develops the economy of new knowledge, which reinforces economic diversification, and non-oil economic growth supports digitalization. Consequently, digitalization played an important role in the Kingdom’s economic transition toward economic diversification. Indeed, our results prove that digitalization increases non-oil income and then reduces the supremacy of the oil sector in the economy, which promotes economic diversification. The KSA authority must accelerate the energetic transition process in order to support economic diversification and attract more foreign investment in information and communication technologies (ICTs).
Testing Cluster Membership of Planetary Nebulae with High-precision Proper Motions. I. HST Observations of JaFu 1 Near the Globular Cluster Palomar 6
Authors: Bond Howard E. , Bellini Andrea , Sahu Kailash C.
Published: September 2024

If a planetary nebula (PN) is shown to be a member of a star cluster, we obtain important new constraints on the mass and chemical composition of the PN’s progenitor star, which cannot be determined for PNe in the field. Cluster membership can be tested by requiring the projected separation between the PN and cluster to be within the tidal radius of the cluster, and the objects to have nearly identical radial velocities (RVs) and interstellar extinctions, and nearly identical proper motions (PMs). In an earlier study, we used PMs to confirm that three PNe, which had already passed the other tests, are highly likely to be members of Galactic globular clusters (GCs). For a fourth object, the PN JaFu 1, which lies in the Galactic bulge near the GC Palomar 6 on the sky and has a similar RV, the available PM measurement gave equivocal results. We have now obtained new high-resolution images of the central star of JaFu 1 with the Hubble Space Telescope (HST), which, combined with archival HST frames taken 14 and 16 yr earlier, provide a high-precision PM. Unfortunately, we find that the PM of the central star differs from that of the cluster with high statistical significance. Nevertheless, JaFu 1 is of astrophysical interest because its nucleus appears to be a member of the rare class of “EGB 6-type” central stars, which are associated with compact emission-line knots.
JWST NIRSpec High-resolution Spectroscopy of MACS0647–JD at z = 10.167: Resolved [O ii] Doublet and Electron Density in an Early Galaxy
Authors: Abdurro’uf  , Larson Rebecca L. , Coe Dan , Hsiao Tiger Yu-Yang , Álvarez-Márquez Javier , Crespo Gómez Alejandro , Adamo Angela , Bhatawdekar Rachana , Bik Arjan , Bradley Larry D. , Conselice Christopher J. , Dayal Pratika , Diego Jose M. , Fujimoto Seiji , Furtak Lukas J. , Hutchison Taylor A. , Jung Intae , Killi Meghana , Kokorev Vasily , Mingozzi Matilde , Norman Colin , Resseguier Tom , Ricotti Massimo , Rigby Jane R. , Vanzella Eros , Welch Brian , Windhorst Rogier A. , Xu Xinfeng , Zitrin Adi
Published: September 2024

We present JWST/NIRSpec high-resolution G395H/F290LP spectroscopy of MACS0647−JD, a gravitationally lensed galaxy merger at z = 10.167. The new spectroscopy, which is acquired for the two lensed images (JD1 and JD2), detects and resolves emission lines in the rest-frame ultraviolet and blue optical, including the resolved [O ii] λ
λ3726, 3729 doublet, [Ne iii] λ3870, He i
λ3890, Hδ, Hγ, and [O iii] λ4363. This is the first observation of the resolved [O ii] λ
λ3726, 3729 doublet for a galaxy at z > 8. We measure a line flux ratio [O ii] λ3729/λ3726 = 0.9 ± 0.3, which corresponds to an estimated electron density of

log
(

n

e

/

cm

−
3

)
=
2.9
±
0.5

. This is significantly higher than the electron densities of local galaxies reported in the literature. We compile measurements from the literature and further analyze the redshift evolution of n

e
. We find that the redshift evolution follows the power-law form of n

e
= A × (1 + z)
p
with

A
=

54

−
23

+
31

cm−3 and

p
=

1.2

−
0.4

+
0.4

. This power-law form may be explained by a combination of metallicity and morphological evolution of galaxies, which become, on average, more metal poor and more compact with increasing redshift.
Examining the Nature of the Starless Dark Matter Halo Candidate Cloud-9 with Very Large Array Observations
Authors: Benítez-Llambay Alejandro , Dutta Rajeshwari , Fumagalli Michele , Navarro Julio F.
Published: September 2024

Observations with the Five-hundred-meter Aperture Spherical Telescope recently detected H i 21 cm emission near M94, revealing an intriguing object, Cloud-9, without an optical counterpart. Subsequent analysis suggests that Cloud-9 is consistent with a gas-rich (M
H I ≈ 106
M
⊙), starless, dark matter (DM) halo of mass M
200 ≈ 5 × 109
M
⊙. Using the Karl G. Jansky Very Large Array in D-array configuration, we present interferometric observations of Cloud-9, revealing it as a dynamically cold (W
50 ≈ 12 km s−1), nonrotating, and spatially asymmetric system, exhibiting gas compression on one side and a tail-like structure toward the other—features likely originating from ram pressure. Our observations suggest Cloud-9 is consistent with a starless ΛCDM DM halo if the gas is largely isothermal. If interpreted as a faint dwarf, Cloud-9 is similar to Leo T, a nearby gas-rich galaxy that would fall below current optical detection limits at Cloud-9's distance (d ≈ 5 Mpc). Further observations with the Hubble Space Telescope reaching magnitudes m

g
≈ 30 would help identify such a galaxy or dramatically lower the current limits on its stellar mass (M
gal ≲ 105
M
⊙). Cloud-9 thus stands as the firmest starless DM halo candidate to date or the faintest galaxy known at its distance.
Phase-resolved Spectroscopy of Low-frequency Quasiperiodic Oscillations from the Newly Discovered Black Hole X-Ray Binary Swift J1727.8-1613
Authors: Shui Qing-Cang , Zhang Shu , Peng Jing-Qiang , Zhang Shuang-Nan , Chen Yu-Peng , Ji Long , Kong Ling-Da , Feng Hua , Yu Zhuo-Li , Wang Peng-Ju , Chang Zhi , Yin Hong-Xing , Qu Jin-Lu , Tao Lian , Ge Ming-Yu , Zhang Liang , Li Jian
Published: September 2024

Low-frequency quasiperiodic oscillations (LFQPOs) are commonly observed in X-ray light curves of black hole X-ray binaries (BHXRBs); however, their origin remains a topic of debate. In order to thoroughly investigate variations in spectral properties on the quasiperiodic oscillation (QPO) timescale, we utilized the Hilbert–Huang transform technique to conduct phase-resolved spectroscopy across a broad energy band for LFQPOs in the newly discovered BHXRB Swift J1727.8–1613. This is achieved through quasi-simultaneous observations from Neutron Star Interior Composition Explorer, Nuclear Spectroscopic Telescope Array, and Hard X-ray Modulation Telescope. Our analysis reveals that both the nonthermal and disk–blackbody components exhibit variations on the quasiperiodic oscillation (QPO) timescale, with the former dominating the QPO variability. For the spectral parameters, we observe modulation of the disk temperature, spectral indices, and reflection fraction with the QPO phase with high statistical significance (≳5σ). Notably, the variation in the disk temperature is found to precede the variations in the nonthermal and disk fluxes by ∼0.4–0.5 QPO cycles. We suggest that these findings offer further evidence that the type-C QPO variability is a result of geometric effects of the accretion flow.
Dependence of Spicule Properties on the Magnetic Field—Results from Magnetohydrodynamics Simulations
Authors: Kesri Kartav , Dey Sahel , Chatterjee Piyali , Erdelyi Robertus
Published: September 2024

Solar spicules are plasma jets observed in the interface region between the visible solar surface and the corona. At any given time, there is a forest of spicules originating in the chromosphere of the Sun. While various models attempt to elucidate their origin and characteristics, here, we consider the one driven by the magnetoconvection undulations. The radiative magnetohydrodynamic (rMHD) equations are solved using Pencil Code with a spatial resolution of 16 km using various magnetic field strengths. The obtained rMHD simulation data are investigated to unveil the various trends in spicular properties as a function of the applied magnetic fields. The important outcome of this study is the finding of a consistent reduction in both the number density and the maximum height reached by spicules as magnetic field strength increases. We also use parabolic fitting on time–distance curves of spicules that are taller than the 75th percentile in the distribution, in order to find a relation between the deceleration of the spicule tip and the magnetic field strength. Our results offer insights into the response of solar spicules to magnetic field strength.
Identifying Light-curve Signals with a Deep-learning-based Object Detection Algorithm. II. A General Light-curve Classification Framework
Authors: Cui Kaiming , Armstrong D. J. , Feng Fabo
Published: September 2024

Vast amounts of astronomical photometric data are generated from various projects, requiring significant effort to identify variable stars and other object classes. In light of this, a general, widely applicable classification framework would simplify the process of designing specific classifiers for various astronomical objects. We present a novel deep-learning framework for classifying light curves using a weakly supervised object detection model. Our framework identifies the optimal windows for both light curves and power spectra automatically, and zooms in on their corresponding data. This allows for automatic feature extraction from both time and frequency domains, enabling our model to handle data across different scales and sampling intervals. We train our model on data sets obtained from Kepler, TESS, and Zwicky Transient Facility multiband observations of variable stars and transients. We achieve an accuracy of 87% for combined variable and transient events, which is comparable to the performance of previous feature-based models. Our trained model can be utilized directly for other missions, such as the All-sky Automated Survey for Supernovae, without requiring any retraining or fine-tuning. To address known issues with miscalibrated predictive probabilities, we apply conformal prediction to generate robust predictive sets that guarantee true-label coverage with a given probability. Additionally, we incorporate various anomaly detection algorithms to empower our model with the ability to identify out-of-distribution objects. Our framework is implemented in the Deep-LC toolkit, which is an open-source Python package hosted on Github (https://github.com/ckm3/Deep-LC) and PyPI.
Identifying Mergers in the Legacy Surveys with Few-shot Learning
Authors: Wei Shoulin , Song Xiang , Zhang Zhijian , Liang Bo , Dai Wei , Lu Wei , Tao Junxi
Published: September 2024

Galaxy mergers exert a pivotal influence on the evolutionary trajectory of galaxies and the expansive development of cosmic structures. The primary challenge encountered in machine learning–based identification of merging galaxies arises from the scarcity of meticulously labeled data sets specifically dedicated to merging galaxies. In this paper, we propose a novel framework utilizing few-shot learning techniques to identify galaxy mergers in the Legacy Surveys. Few-shot learning enables effective classification of merging galaxies even when confronted with limited labeled training samples. We employ a deep convolutional neural network architecture trained on data sets sampled from Galaxy Zoo Decals to learn essential features and generalize to new instances. Our experimental results demonstrate the efficacy of our approach, achieving high accuracy and precision in identifying galaxy mergers with few labeled training samples. Furthermore, we investigate the impact of various factors, such as the number of training samples and network architectures, on the performance of the few-shot learning model. The proposed methodology offers a promising avenue for automating the identification of galaxy mergers in large-scale surveys, facilitating the comprehensive study of galaxy evolution and structure formation. In pursuit of identifying galaxy mergers, our methodology is applied to analyze the Data Release 9 of the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys. As a result, we have unveiled an extensive catalog encompassing 648,183 galaxy merger candidates. We publicly release the catalog alongside this paper.
Optical Variability of Gaia CRF3 Sources with Robust Statistics and the 5000 Most Variable Quasars
Authors: Makarov Valeri V.
Published: September 2024

Using the light-curve time-series data for more than 11.7 million variable sources published in the Gaia Data Release 3, the average magnitudes, colors, and variability parameters have been computed for 0.836 million Gaia CRF objects, which are mostly quasars and active galactic nuclei (AGNs). To mitigate the effects of occasional flukes in the data, robust statistical measures have been employed: namely, the median, median absolute deviation, and Spearman correlation. We find that the majority of the CRF sources have moderate amplitudes of variability in the Gaia G band just below 0.1 mag. The heavy-tailed distribution of variability amplitudes (quantified as robust standard deviations) does not find a single analytical form, but is closer to Maxwell distribution with a scale of 0.078 mag. The majority of CRF sources have positive correlations between G magnitude and G
BP−G
RP colors, meaning that these quasars and AGNs become bluer when they are brighter. The variations in the G
BP and G
RP bands are also mostly positively correlated. Dependencies of all variability parameters with cosmological redshift are fairly flat for the more accurate estimates above redshift 0.7, while the median color shows strong systematic variations with redshift. Using a robust normalized score of magnitude deviations, a sample of the 5000 most variable quasars is selected and published. The intersection of this sample with the ICRF3 catalog shows a much higher rate of strongly variable quasars (mostly blazars) in ICRF3.
Cyber catalogue and revision of the nematode genus Enchodelus (Dorylaimida, Nordiidae)
Authors: Elshishka Milka , Mladenov Aleksandar , Altash Stela , Álvarez-Ortega Sergio , Peña-Santiago Reyes , Peneva Vlada
Published: September 2024

The genus Enchodelus is an intriguing free-living dorylaimid nematode taxon. Its representatives display a distinct distributional pattern as they are mainly spread in high altitudinal enclaves of the Northern Hemisphere, being often associated with mosses and cliff vegetation. Although their feeding habits have not been studied with experimental protocols, it is traditionally assumed that they are omnivorous.

The genus Enchodelus has not been recently revised; descriptions of many ‘old species’ (that have been described long ago and have not been reported since their original discovery) are of poor quality, hardly discoverable and do not conform to the nowadays taxonomical standards. Thus, a comprehensive compilation and analysis of their literature data is indispensable to provide new insights into the taxonomy of the genus and to elucidate its evolutionary relationships.

This contribution provides a cyber catalogue of all Enchodelus species, 28 in total. It compiles available information from the key European Research Infrastructures, such as TreatmentBank, Swiss Institute of Bioinformatics Literature Services (SIBiLS), the Catalogue of Life (CoL), Global Biodiversity Information Facility (GBIF), European Nucleotide Archive (ENA) and Biodiversity Literature Repository (BLR). Data about their distribution (geographical records and habitats) are incorporated too and all brought together. It is completed with discussion and notes for some species, along with information on species distributions and microhabitats. Here, all available information on Enchodelus species is brought together. This will contribute to a more complete assessment of species diversity and distribution and support further biogeographical and ecological research.

Besides, type material Enchodelus vestibulifer Altherr, 1952, deposited in the Museo Cantonale di Storia Naturale di Lugano (Switzerland), is re-examined and the species is considered as incertae sedis. Further, a new species of the genus found in Caucasus, Georgia is described after its morphological and molecular study; also morphological and molecular data for E. macrodorus (de Man, 1880) Thorne, 1939, the type species of the genus, collected from Spain are provided.
La construction du concept de pulsion de mort entre Sabina Spielrein et Sigmund Freud
Authors: Udler Cromberg Renata
Published: September 2024

Cet article présente la psychanalyste pionnière Sabina Spielrein et ses écrits. Il présente ensuite la construction du concept de pulsion de mort entre Sabina Spielrein et Sigmund Freud. Il souligne que la conception de Spielrein avait neuf ans d’avance sur celle de Freud et quelques points de contact entre La Destruction comme origine du devenir de Spielrein (1912) et Au-delà du principe de plaisir de Freud (1920).
La pulsion de mort dans la perversion
Authors: Carvalho Ferraz Flávio
Published: September 2024

La clinique des pathologies non névrotiques fournit à la théorie psychanalytique des fondements pour la construction d’un schéma conceptuel qui rend compte de l’incidence de la pulsion de mort à l’intérieur de la topique et dans la relation avec la réalité et le soma. La perversion, située dans ce champ, a l’acting sexuel comme manifestation singulière. Mais elle possède des interfaces avec la psychose et le psychosomatique, comme on cherche à démontrer dans ce travail.
ORLAN, l’Art Charnel et la pulsion de mort
Authors: Martins Ligeiro Vivian
Published: September 2024

L’objectif de notre travail est d’entreprendre une analyse des implications entre le corps, la pulsion et le réel à travers la production artistique d’ORLAN. La notion de sublimation et son rapport au réel et à la Chose (das Ding), est essentiels pour réfléchir sur la relation entre le corps, la pulsion et l’acte créateur. Ainsi, la sublimation créationniste peut mettre en marche la contrainte de répétition, animée par la pulsion de mort et traduite par la rencontre du sujet avec le réel de la Chose.
Frédéric Le Play : conjurer les guerres par le droit des gens et la réforme de l’armée
Authors: Savoye Antoine
Published: September 2024

Une dizaine d’années après ses Ouvriers européens (1855), alors que les guerres se multiplient en Europe et en Amérique du Nord, Frédéric Le Play enrichit sa science sociale d’une réflexion neuve sur les relations internationales. Il étudie les causes de la guerre entre les nations et les moyens de la conjurer. Il s’initie au droit des gens auprès d’une personnalité britannique, David Urquhart (1805-1877), et trouve là une solution. Simultanément, il réfléchit à la place et au rôle de l’armée dans la société s’appuyant sur les travaux de Maxime Lahaussois (1832-1898). La science sociale de Le Play ainsi complétée étend sa pertinence à deux domaines connexes, la paix sociale et la paix internationale.