bluuebunny/crossref_metadata_2025_split huggingface dataset:
USE OF DIGITAL ELEVATION MODELS IN METALLOGENIC INVESTIGATIONS ON THE EXAMPLE OF THE CENTRAL PART OF THE LOWER AMUR PROVINCE
Authors: ГИЛЬМАНОВА Г.З. , НОСЫРЕВ М.Ю. , ДИДЕНКО А.Н. 
Published: June 2024

Для центральной части Нижнеамурской провинции выполнен анализ цифровой модели рельефа (SRTM03). По комплексу признаков выделена Лимури-Амгуньская кольцевая структура, где расположены золоторудные Пильда-Лимурийский и Херпучи-Вьюнский районы и Албазинский узел, в пределах которых известны как крупные промышленные месторождения золота, так и большое количество мелких месторождений и рудопроявлений. Проанализированы особенности распределения линейных и кольцевых элементов рельефа, дана их геологическая интерпретация и показано пространственное соотношение с ними месторождений и рудопроявлений золота. Показана связь морфологической выраженности кольцевой структуры с глубинным строением региона; структура имеет магматогенную природу, характеризуется высокой концентрацией интрузивных тел. Согласно литературным данным по возрасту и составу магматических комплексов региона, образование кольцевой структуры связано с процессами новообразования и преобразования земной коры и верхней мантии в конце позднего мела-начале палеоцена в надсубдукционной геодинамической обстановке.
The digital elevation model (SRTM03) of the central part of the Lower Amur province is analyzed. The Limuri-Amgun ring structure is identified on the basis of a set of features, and it is also the location of the Pilda-Limuri and Kherpuchin-V’yunsky gold-ore regions, as well as the Albazino deposit, known for large industrial gold deposits and many small deposits and ore occurrences. The distribution of linear and ring elements of the relief is analyzed and geologically interpreted, and its spatial relationship with gold deposits and ore occurrences is shown. The relationship between the morphological severity of the ring structure and the deep structure of the region is shown. It is revealed that the structure is magmatic and characterized by a high concentration of intrusive bodies. According to the reference data on the age and composition of the igneous complexes of the region, the formation of the ring structure is associated with the processes of neoformation and transformation of the Earth’s crust and upper mantle during the end of the Late Cretaceous and the beginning of the Paleocene in a suprasubduction geodynamic setting.
Changes in air permeability of restrained expansive concrete under drying condition: contribution of expansive strain
Authors: Wijaya Adhitya Leonard , Nakarai Kenichiro 
Published: June 2024

AbstractRestraining the expansion of expansive concrete with embedded rebars can exert chemical prestressing, which may affect the durability of concrete structures. This study aims to investigate the durability performance of expansive concrete by understanding the mechanism of air permeability changes while considering the variations in reinforcement arrangements and concrete dimensions. The Torrent’s air permeability test was used to non-destructively evaluate the disparity in air permeability changes of expansive and normal concrete during the drying processes from 28 to 182 days. Additionally, expansive strain changes were continuously monitored to investigate chemical prestress. The experimental test results suggest the immense effect of the change in expansive strain on the air permeability of concrete. This study proposes that the change in microstructure owing to the loss of expansive strain may cause an increase in air permeability. The loss of expansive strain is a distinguished feature that differentiates the mechanism of air permeability changes in expansive and normal concrete. These findings suggest the possible improvement in the durability performance of expansive concrete in cases where the loss of its expansive strain can be controlled.
LEGAL REGULATION OF ATTRACTING FOREIGN INVESTMENTS IN THE OIL AND GAS SECTOR OF THE USSR
Authors: Кондуков П.С. 
Published: June 2024

В статье анализируется, как осуществлялось правовое регулирование привлечения иностранных инвестиций в нефтегазовый сектор СССР, как менялись этапы и инструменты регулирования в соответствии с текущей политикой государства и какие результаты были достигнуты от проведения реформ в этой области для современной России. Была рассмотрена большая вариативность правового регулирования иностранных инвестиций в советскую нефтегазовую отрасль – от полного неприятия и изгнания иностранных инвесторов до создания для них максимально благоприятных правовых условий деятельности.
The article analyzes how the legal regulation of attracting foreign investments in the oil and gas sector of the USSR was carried out, how the stages and tools of regulation have been changed in accordance with current state policy and what results have been achieved from reforms in this area for modern Russia. A wide variety of legal regulation of foreign investments in the Soviet oil and gas industry was considered: from complete rejection and expulsion of foreign investors to the creation of the most favorable legal conditions for them.
Buscando un cónyuge: matrimonio, herencia y ayuda mutua en un distrito del Valle de Colca
Authors: Paerregaard Karsten 
Published: June 2024

La finalidad de mi artículo es contribuir al desarrollo de un modelo general de la organización social del mundo andino, en el cual pocos se han interesado en los últimos diez años. Dos son los aspectos que voy a analizar en base a datos recogidos en el distrito de Tapay, en el valle de Colca, provincia de Cailloma, departamento de Arequipa. Primero, quiero analizar el patrón matrimonial que caracteriza por un lado la relación entre el distrito de Tapay y el rnundo externo, y por otro lado las relaciones entre los grupos sociales y culturales que forman la población de Tapay. En otras palabras, analizar cómo la exogamia y la endogamia se manifiestan en los diferentes niveles de la sociedad tapeña. Segundo, intentaré interpretar este patrón matrimonial dentro de un contexto más amplio, el de la organización social de Tapay. Por lo tanto, presentaré una serie de datos en torno al sistema de herencia en Tapay y la ayuda mutua entre los tapeños.
Rare Variant of the Radial Artery Causing Compression of the Superficial Radial Nerve
Authors: Sayegh Michael J. , Keefer Joshua M. , Li Zhongyu 
Published: June 2024

Case:
This case report describes a patient with paresthesia in the distribution of the superficial sensory branch of the radial nerve that was treated with surgery. Intraoperatively, there was a unique cause of internal compression by a rare superficial radial artery variant running adjacent to it. The nerve was mobilized from the artery with fascial releases. The patient had symptom resolution postoperatively.

Conclusion:
To our knowledge, this cause of compression has not been described before and should be considered in a differential diagnosis. In addition, clinicians should be aware of this anatomical variant during venipunctures and surgical approaches.
Overcoming Quality Control Challenges in Car Exhaust Manufacturing
Authors: Setiono Moch. Agung , Cahyana Atikha Sidhi 
Published: June 2024

PT. XYZ, a manufacturer of car exhaust components, faces significant defect-related challenges, impacting productivity and market competitiveness, particularly in Europe. Over six months, 3.18% of 184,708 produced components were defective. This study aims to determine the sigma level of quality control and identify root causes of defects using the Six Sigma DMAIC method and Root Cause Analysis (RCA). Observations and interviews revealed human error, machine issues, improper methods, substandard materials, and environmental factors as key contributors to defects. The sigma level was found to be 4, indicating suboptimal quality control. Recommendations for improvement include SOP development, operator training, standardized production methods, regular machine maintenance, and 5S organizational practices. Implementing these could reduce defects and improve productivity.

Highlight:

Defect Rate: 3.18% in 184,708 components.
Sigma Level: Evaluated at level 4.
Improvements: Implement SOPs, training, maintenance, 5S practices.

Keyword: Quality Control, Six Sigma, Root Cause Analysis, Manufacturing, Car Exhaust Components
New Insights from an Old Method after History Matching a Newly Designed 1D Cyclic Steam Stimulation Experiment
Authors: Sequera-Dalton B. M. , Gutiérrez D. , Moore R. G. , Mehta S. A. , Ursenbach M. G. , García H. A. , Pérez R. A. , Rodríguez H. A. , Manrique E. J. 
Published: June 2024

Summary
A cyclic steam stimulation (CSS) laboratory experiment was conducted with dead heavy oil. Four cycles of steam injection and fluid production were performed, at reservoir pressure, to assist in the numerical modeling and understanding of the main mechanisms involved in the process. This was an important step in developing a base model for a broader project evaluating CSS steam-hybrid experiments with live oil. Experimental data, history matching approach and results, as well as key insights are presented.
An experimental setup, originally designed to evaluate CSS hybrid processes, was improved by fitting a sight glass to identify the fluids flowing out of the opposite core end (into a ballast system), during injection cycles. Dead oil was used to facilitate the analysis of this experiment. Relative permeability curves were tuned to history match each cycle sequentially. Injection periods were matched before production ones to estimate the amounts of oil and water displaced to the ballast during injection (unknown, although total liquid volumes in the ballast were recorded continuously), which were later injected back into the core during production periods.
A 1D grid represented the core section, while the ballast system was modeled with a production well and an injection well. Experimental data such as temperature profiles, pressures, and rates were honored. A volumetric ratio of 40% water and 60% oil appeared to be the typical composition of the fluid received by the ballast during injection periods, based on simulation results. Fluids reinjected from the ballast back into the core were modeled as an emulsion (i.e., a water-oil mixture). Relative permeability curves were the same for injection and production periods within the same cycle, except for an increased critical water saturation during the last two production periods. One set of relative permeability curves was obtained for each of the four cycles. Although all the cycles of the CSS experiment were history matched successfully using water-oil relative permeability curves, the need to have different curves for each continuous cycle suggests that different flow phenomena were taking place during the CSS test. After reviewing different mechanisms associated with steam injection processes, it appears plausible that injected steam, after condensing to water, partially emulsified with the heavy oil in the core. Insights from this work suggest a need to rethink the traditional way of modeling heavy oil recovery with steam, where water-in-oil emulsion formation typically occurs.
Development of Oilwell Fault Classifiers Using a Wavelet-Based Multivariable Approach in a Modular Architecture
Authors: Dias T. L. B. , Marins M. A. , Pagliari C. L. , Barbosa R. M. E. , de Campos M. L. R. , Silva E. A. B. , Netto S. L. 
Published: June 2024

Summary
Fault detection and diagnosis are fundamental problems in the process of abnormal event detection in oil wells. This paper describes an open-source modular system that enables the efficient design of fault detectors and classifiers based on machine learning techniques. Events considered in this work are part of the publicly available 3W database developed by Petrobras, the Brazilian oil holding. Seven fault classes are considered, with distinct dynamics and patterns, as well as several instances of normal operation. We also show the effectiveness of the use of wavelet-based features, which provide multiscale time-frequency analysis, targeting a more realistic event modeling. A few challenges imposed by the 3W data set are addressed by combining both wavelet and statistical features, resulting in more accurate and more robust classifiers, with a 98.6% balanced accuracy in the multiclass problem, a significant improvement over the 94.2% previously reported in the literature.
Trends in the Russian economy development during the new anti-Russian sanctions
Authors: Malkina M. Yu. , Balakin R. V. 
Published: June 2024

Objective: to identify trends in the development of the Russian economy during the new anti-Russian sanctions. To this end, the paper analyzes the impact of the new sanctions on the budgetary sphere, the development of economic sectors and industries and the Russian regions.Methods: the work uses data from the Federal State Statistics Service (Rosstat), the Federal Treasury, the Ministry of Economic Development of the Russian Federation (Ministry of Economic Development), the Central Bank of the Russian Federation (Bank of Russia), the Federal Tax Service (FTS), the Federal Customs Service (FCS), the Federal Antimonopoly Service (FAS). For their analysis, graphical, tabular, and analytical methods are used.Results: the new anti-Russian sanctions caused significant changes in the structure of the Russian exports and trade balance. The reduced inflow of foreign currency put significant pressure on the ruble exchange rate, which created inflation risks. The devaluation was restrained by the Bank of Russia new currency regime. The favorable situation in the energy market in 2022 led to an increase in budget revenues. In 2023, economic growth resulted from an active fiscal policy supported by moderate monetary expansion. However, it was achieved at the cost of an increase in the budget deficit and public debt. The response of different industries and regions to the sanctions shock was heterogeneous. The development of certain adaptive strategies by economic entities, as well as the response of the authorities played an important role. The new sanctions regime prompted a revision of the state economy regulation paradigm. Dirigisme manifested itself in the increase of state orders, subsidies and other support for protected industries with one-time withdrawals of opportunistic revenues of big business. Monetary and fiscal policy gradually acquired a hybrid character. Direct and indirect price regulation became an important instrument of state regulation during the sanctions.Scientific novelty: it consists in a comprehensive analysis of development trends during the new anti-Russian sanctions, their impact on foreign economic parameters, budgetary sphere, financial system, development of Russian industries and regions.Practical significance: statistical information on various aspects of the Russian economy development during the new antiRussian sanctions was summarized and analyzed. The work can be useful to researchers studying the functioning of the Russian economy under sanctions, as well as to businesspersons for assessing the risks, opportunities and prospects of their businesses development, and to government agencies for forming an effective anti-crisis policy.
AI Without Networks
Authors: Mitra Partha , Sire Clément 
Published: June 2024

Abstract

Contemporary Artificial Intelligence (AI) stands on two legs: large training data corpora and many-parameter artificial neural networks (ANNs). The data corpora are needed to represent the complexity and heterogeneity of the world. The role of the networks is less transparent due to the obscure dependence of the network parameters and outputs on the training data and inputs. This raises problems, ranging from technical-scientific to legal-ethical. We hypothesize that a transparent approach to machine learning is possible without using networks at all. By generalizing a parameter-free, statistically consistent data interpolation method, which we analyze theoretically in detail, we develop a framework for generative modeling. Given the growing usage of machine learning techniques in science, we demonstrate this framework with an example from the field of animal behavior. We applied this generative Hilbert framework to the trajectories of small groups of swimming fish. The framework outperforms previously developed state-of-the-art traditional mathematical behavioral models and contemporary ANN-based models in reproducing naturalistic behaviors. We do not suggest that
the proposed framework will outperform networks in all applications, as overparameterized networks can interpolate. However, our framework is theoretically sound, transparent, deterministic and parameter free: it does not require any
compute-expensive training, does not involve optimization, has no model selection, and is easily reproduced and ported. We also propose an easily computed method of credit assignment based on this framework that could help address ethical-legal challenges raised by generative AI.
Lockdown-induced Shadow Pandemic: A Phenomenological Interpretation of Domestic Violence in Kerala
Authors: KT ATHIRA KRISHNAN , AHMED ATIQ 
Published: June 2024

Abstract

Purpose: Existing literature suggests that the COVID-19 restrictions led to a shadow pandemic wherein women’s lives were disproportionately affected. This study sheds light on the mechanisms through which COVID-19 pandemic restrictions have furthered violence against women, uncovering a distressing interplay of factors that exacerbate this "Shadow Pandemic. The goal is to provide insights for shaping effective intervention and support strategies, especially in the context of public health crises.
Methods: The research focused on exploring the phenomenological interpretive experiences of domestic violence among married women in Kerala during the COVID-19 lockdown. Narratives of thirty-five women victims of domestic violence were analysed and subjected to thematic analysis, yielding diverse emergent themes discussed under distinct headings.
Results: The findings revealed a spectrum of abuse including physical violence, psychological trauma, economic exploitation, and intimate partner violence. The study outlines key themes that have emerged. Marital Disharmony, Pseudo-Long Distance Relationships, Marital Rape, Domestic Labor, Compelled Coexistence, Vulnerability Exacerbation, Socio-Economic Disparities, Pandemic-Induced Isolation, Economic Fallout, Physical Abuse, and Joblessness are the major themes examined.
Conclusions: The lockdown-induced shadow pandemic has cast a distressing influence on women's lives. The intersection of a global health crisis and a surge in gender-based violence underscores the urgent need for comprehensive societal responses. As we navigate the aftermath of lockdowns, this study calls for the prioritisation of the well-being and empowerment of women, ensuring that they are not left behind in the recovery process.
Urban Greening with Biodiverse Perennial Meadows Improves Ecosystem Services in Human Dominated Landscapes
Authors: Paudel Shishir , States Sarah , Mainali Kumar 
Published: June 2024

Abstract

In urban landscapes, diverse perennial native meadows have widely been proposed as alternatives to traditional lawns, offering multiple ecosystem services. However, their comparative value for sustainable ecosystem services remains poorly understood. Using multiyear systematic field sampling, we compared plant species richness, soil nutrients, microbial functional groups, and trace metals between urban lawns and meadows. Results showed higher species richness in meadows, potentially providing diverse habitats for urban wildlife. Lawns showed higher soil organic matter, total carbon (C), and nitrogen (N), suggesting carbon sequestration potential. However, meadow soils had higher carbon-to-nitrogen ratios and lower plant available N, implying efficient N utilization and reduced leaching into groundwater. Additionally, meadows contained lower plant available phosphorus, potassium, and certain trace metals, demonstrating their ability to reduce the pollutants from leaching into the ground or surface water. Moreover, meadow harbored higher mycorrhizal fungi abundance and fungal-to-bacterial ratios, indicating enhanced soil health potential. Overall, urban lawns can sequester greenhouse gases, while meadows support biodiversity, may act as natural filters for excessive nutrients and pollutants, and improve soil health. Our findings highlight the need for sustainable management of urban green spaces to preserve biodiversity and maximize ecological and environmental benefits.
QTL mapping and candidate gene mining for sheath blight resistance in rice (Oryza sativa L.) using QTLseqr approach
Authors: Thesiya Mayur R. , Lore Jagjeet Singh , Bhatia Dharminder , Kumar Sanjay , Hunjan Mandeep Singh , Jain Jyoti , Kaur Rupinder 
Published: June 2024

Abstract

Sheath blight (ShB) caused by Rhizoctonia solani is a devastating disease that poses a major threat to rice (Oryza sativa L.) production worldwide. In this study, next generation sequencing assisted bulk segregant analysis (BSA) integrated with R package i.e. QTLseqr was utilized to identify QTL regions controlling the sheath blight resistance trait. F3 mapping progenies for ShB resistance trait was derived from the cross between susceptible rice cultivar PR121 and resistant donor IET 22769. Based on sheath blight screening of F3 progenies under artificial inoculation conditions, fifteen resistant (20-30 cm lesion height) and fifteen highly susceptible (70-85 cm lesion height) progenies were selected. DNA of the selected progenies were extracted and bulked respectively to constitute ShB-R and ShB-S bulks respectively. The two bulks along with parents were sequenced at > 20 X read depth. A total of 11,45,820 high-quality single nucleotide polymorphism (SNPs) were used for QTL-seq analysis using QTLseqr package. QTL analysis identified five QTLs namely qShB1, qShB3, qShB5.1, qShB5.2 and qShB6 on chromosome 1, 3, 5 and 6, respectively for resistance to ShB. A total of 69 candidate genes were identified within the QTL regions including leucine-rich repeat receptor-like kinase, coiled-coil nucleotide-binding and transcription factor protein etc. which might play a significant role in defense mechanism against R. solani. The identified QTLs and candidate genes can be further studied to understand genetics of ShB resistance in rice and to develop ShB resistant varieties.