bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved Practical BDD-based Cryptanalysis of Keystream Generators with application to Trivium
Authors: Makwana Yash , Panigrahi Anupama , Pal S.K. 
Published: December 2024

Abstract

The Binary Decision Diagrams(BDD) have played important role in hardware verification, model checking, and logic synthesis, where they optimize the handling of complex Boolean expressions by reducing redundancy and ensuring canonical representation. Harish Sahu et. al. in 2017 gave a practical way to use ROBDDs to attack stream ciphers and compared different ways of operating AND operations between BDDs. We show that this method is not the universally fastest to perform a binary operation between any two objects. A successful attack requires the reduction of time and space complexity to the greatest extent possible. In this direction, we propose a new method that uses BDDs to attack any stream cipher with time complexity of $O(\frac{n}{4}\bar{M}^2)$, and demonstrate its application to a well known estream cipher, Trivium. We present Time and Space Analysis by means of several experiments and find that our method outperforms the earlier one in time and under certain conditions in space. Through comprehensive time and space analysis conducted via multiple experiments, we demonstrate that our method outperforms the previous approach in terms of time efficiency and, under specific conditions, in space efficiency as well.
ЭВРИСТИЧЕСКИЙ ПОТЕНЦИАЛ СОЦИОЛОГИЧЕСКИХ ТЕОРИЙ В ИЗУЧЕНИИ СОЦИАЛЬНЫХ ДЕВИАЦИЙ В РОССИИ И ЕВРОПЕ НА РУБЕЖЕ XIX–XX ВВ.
Authors: Поршнева О.С. 
Published: December 2024

В статье анализируется эвристический потенциал социологических теорий в изучении девиантных практик, получивших распространение на рубеже XIX–XX вв. в Рос-сии и Европе в условиях кризиса модерна. Рассмотрены познавательные возможности концепций Э. Дюркгейма, Р. Мертона, П. Сорокина, Н. Смелзера, Т. Парсонса, Г. Беккера, Т. Селлина, использование их идей для исследования социальных девиаций. Сделан вывод о том, что они позволяют изучить ряд взаимосвязанных проблем, среди которых причины распространения и условия воспроизводства девиантных социальных практик; проявления аномии в быстро меняющихся обществах; влияние конфликта культур, войн и революций на характер и уровень социальных девиаций; меры социального контроля и их эффективность; восприятие девиаций и их репрезентация в дискурсах и социальных практиках.
The article reveals the heuristic potential of sociological theories in the study of deviant practices that have become widespread in Russia and Europe in the context of the crisis of modernity at the turn of the XX century. The cognitive possibilities of the concepts of E. Durkheim, R. Merton, P. Sorokin, N. Smelzer, T. Parsons, H. Becker, T. Sellin, the use of their ideas for the study of the problems of social deviations are considered. It is concluded that they allow us to study a number of interrelated problems, including the causes of the spread and conditions of reproduction of deviant social practices; manifestations of anomie in rapidly changing societies; the impact of cultural conflict, wars and revolutions on nature and level of social deviations; social control measures and their effectiveness; perception of deviations and their representation in discourses and social practices.
ПОЛЬСКИЙ ВОПРОС В РОССИИ XIX– НАЧАЛА XX ВЕКА В ОЦЕНКЕ Н.И. КАРЕЕВА. ЧАСТЬ 1
Authors: Кручковский Т.Т. 
Published: December 2024

Польская проблема занимает важное место в творчестве известного русского либерального историка Н.И. Кареева. В статье рассматриваются взгляды Кареева на польскую проблему в России XIX – начала XX в.: исходные позиции историка по данной проблеме, ее составляющие, эволюция взглядов. Кареев рассматривал польскую проблему в России в связи с демократизацией жизни в стране.
The Polish problem occupies an important place in the works of the famous Russian liberal historian N.I. Kareeva. The article discusses the views of N.I. Kareev on the Polish problem in Russia in the 19th – early 20th centuries: the historian’s initial positions on this problem, its components, the evolution of views. N.I. Kareev considered the Polish problem in Russia in connection with the democratization of life in the country, believing that they are interconnected.
КАК МЫСЛЯТ ЦЕРКОВНЫЕ ИНСТИТУТЫ МЕХАНИЗМЫ ФОРМИРОВАНИЯ ЭТНОКОНФЕССИОНАЛЬНОЙ ИДЕНТИЧНОСТИ
Authors: Давыдов И.П. , Фадеев И.А. 
Published: December 2024

Объектом исследования выступают западнохристианские церковные институты, а предметом – способы их функционирования в качестве «думающих / мыслящих коллективов» (das Denkkollektiv). Цель – верификация на материале истории христианской церкви гипотезы британского антрополога Мэри Дуглас о наличии у социальных институтов специфического «коллективного способа мышления». Для ее достижения были выполнены следующие задачи: (а) выяснен контекст обращения М. Дуглас к сфере сакрального и религиозного; (б) уточнена преемственность понятийного аппарата М. Дуглас как наследницы функционализма дюркгейминианской школы; (в) актуализирован институциональный аспект в дефиниции религии Эмилем Дюркгеймом; (г) с опорой на ритуалистику и социологию религии эксплицирована роль создателей и носителей ритуалов как элиты церковных «мыслящих коллективов». Соавторы приходят к выводу, что: (1) в религии, наряду с ритуальным и мифологическим, необходимо учитывать третий аспект – институциональный; (2) церкви представляют собой «мыслящие моральные общности» клира и паствы; (3) ученое сословие «мудрецов» продуцирует и поддерживает официальную публичную память и, пользуясь сакрализованными мифами, закрепляет ее в актах идентитарной мемориализации и коммеморации; (4) ключевую функцию поведенческого маркера при этом играет литургический ритуал.
The object of the study is Western Christian church institutions, and the subject is the ways in which they function as ‘thought collectives’ (das Denkkollektiv). The aim is to verify Mary Douglas's hypothesis that there is a specific “collective way of thinking” in social institutions by drawing on examples from church history. To this end, the following objectives were accomplished: (a) to clarify the context of Mary Douglas's reference to the sphere of the sacred and religious; (b) to clarify the continuity of her conceptual apparatus as a representative of the Durkheimian school of functionalism; (c) to actualise the institutional aspect of Émile Durkheim's definition of religion; (d) to explicate the role of the originators and bearers of rituals as the elite of church “thought collectives” by drawing on ritual studies and sociology of religion. The co-authors conclude that: (1) in religion, along with the ritual and mythological, a third aspect, namely the institutional one, must be taken into account; (2) churches are ‘moral thought collectives’ of both clergy and laity; (3) the scholarly class of ‘wise men’ produces and maintains official public memory and, drawing on sacralised myths, consolidates it in acts of identitarian memorialisation and commemoration; (4) liturgical ritual plays a key function as a behavioural marker.
«ВМЕСТЕ БОРОЛИСЬ, ВМЕСТЕ СТРОИМ!» ОБРАЗ СОВЕТИЗАЦИИ И СССР В МЕМУАРАХ ЧЕХОСЛОВАЦКИХ ИСТОРИКОВ ВТОРОЙ ПОЛОВИНЫ ХХ В.
Authors: Груздинская В.С. , Назаров С.О. 
Published: December 2024

После Второй мировой войны страны Восточной Европы попали в орбиту советско-го политического влияния. Начался процесс советизации всех сторон жизни общест-ва. Советская историография была провозглашена ориентиром для национальных ис-ториографий, а советские историки развернули в регионе кипучую деятельность. Че-хословацкая историческая наука не стала исключением в этом процессе. Одновре-менно разрушение старых оснований исторической науки и возведение на их месте новых институций не только меняло «фасад» и перекраивало бывшие каналы комму-никаций, но и оказывало влияние на личность самого ученого, иногда ставя его перед выбором между сопротивлением или приспособлением к происходящему. Именно поэтому обращение к источникам, отражающим личный опыт проживания эпохи со-ветизации, имеет большой исследовательский потенциал. В статье рассматриваются мемуары трех чехословацких историков – Й. Полишенского, Ф. Кавки и М. Мышки, и предпринимается попытка реконструкции восприятия современниками процессов советизации и «самосоветизации» чехословацкой исторической науки.
After the Second World War, the countries of Eastern Europe fell into the orbit of Soviet political influence. The process of Sovietisation of all aspects of society began. Czechoslovak historical science was no exception to this process. Soviet historiography was proclaimed as a reference point for national historiographies, and Soviet historians were very active in the region. At the same time, the destruction of the old foundations of historical science and the construction of new institutions in their place not only changed the “façade” and reshaped the former channels of communication, but also had an impact on the personality of the scholar himself, sometimes confronting him with a choice between resistance or accommodation. Therefore, turning to sources reflecting the personal expe-rience of living through the Sovietisation has great research potential. The article examines the memoirs of three Czechoslovak historians – J. Polišenský, F. Kavka, and M. Myška, with the help of which an attempt is made to reconstruct the perception of contemporaries of the processes of sovietisation and “self-sovietisation” of Czechoslovak historical science.
Targeted therapy for severe bronchial asthma: Phenotyping of patients and algorithm for selecting a genetically engineered biological drug
Authors: Naumova V. V. , Zykov K. A. , Valenta R. , Kovtun O. P. , Beltyukov E. K. , Smolenskaya О. S. , Bykova G. A. , Shtanova A. A. 
Published: December 2024

Introduction. The “spot” effect of immunobiological drugs necessitates patients' selection based on pathogenetic mechanisms of the disease to ensure therapy effectiveness.Aim. To determine characteristics of T2-asthma main phenotypes and develop an algorithm for selecting a first- and second-line biologics.Materials and methods. Being retrospective and prospective in nature the research was directed at adult patients with severe asthma who received target therapy and were included in the registry of Sverdlovsk region. Cluster analysis made it possible to identify the most distinctive features of allergic, nonallergic eosinophilic and mixed SA. Pathogenetic mechanisms of T2 inflammation determined the choice of first-and-second-line biologics.Results. Allergic phenotype is characterized by existence of allergy and first appearance of asthma before the age of 18, satellite allergic rhinitis and the Phadiatop test result ≥ 1,53 PAU/L. The features of non-allergic eosinophilic asthma are as follows: asthma first appearance at the age of 32 and older, eosinophilia ≥ 150 cells/gl, absence of allergy, satellite chronic rhinosinusitis polyposa (CRSP) and NSAIDs intolerance. The features of the mixed asthma are as follows: first appearance at the age of ≥ 18 and < 32 years old, allergy in combination with eosinophilia ≥ 300 cells/gl, AR and a positive Phadiatop allergy test result, CRSP and NSAIDs intolerance. It is the allergic phenotype of SA when preference should be given to anti-IgE drug. Dealing with non-allergic phenotype of SA one should consider anti-IL5 biologics more preferable. Taking into consideration Th2 and ILC2 ways in action mechanism it is possible to affirm that anti-IL4R therapy is effective in mixed asthma.Conclusions. In real clinical practice the initial phenotyping of SA facilitates the correct choice of a first- and second-line targeted drug.
Improved daily streamflow forecasting for semi-arid environments using hybrid machine learning and multi-scale analysis techniques
Authors: Difi Salah , Heddam Salim , Zerouali Bilel , Kim Sungwon , Elmeddahi Yamina , Bailek Nadjem , Augusto Guimarães Santos Celso , Abida Habib 
Published: December 2024

ABSTRACT
This study aimed to improve daily streamflow forecasting by combining machine learning (ML) models with signal decomposition techniques. Four ML models were hybridized with five families of maximum overlap discrete wavelet transforms (MODWTs). The hybrid models were applied to predict daily streamflow at the Bir Ouled Taher station in northern Algeria. Model performance was evaluated using multiple statistical metrics and compared to standalone ML models. The hybrid MODWT-Gaussian process regression (GPR) model using Symlet wavelets (MODWT-GPR3 sym4) achieved the best performance, with R = 0.99 and NSE = 0.98 during validation. This significantly outperformed the standalone models tested and other hybrid combinations. The MODWT-GPR3 sym4 model demonstrated a superior ability to capture nonlinearities and predict peak flows. Hybridization of ML models with wavelet transforms, particularly the MODWT-GPR approach, can substantially improve daily streamflow prediction accuracy compared to standalone models. However, model performance may vary between watersheds due to differences in hydrological characteristics. Consideration of catchment concentration time when selecting model inputs could further enhance forecasting capabilities.
Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province's hilly areas
Authors: Li Dongyun , Sang Guoqing , Liu Wei , Liu Yang , Zhao Mengjie 
Published: December 2024

ABSTRACT

The clustering of small watersheds based on hydrological similarity serves as an effective technique for identifying similarities in watershed runoff generation and routing conditions. It also addresses the challenge of parameter transplantation in undocumented areas. In this research, 545 small watersheds in hilly areas within Shandong Province were studied using 22 selected indicators to represent their climate and underlying surface characteristics. The study employed a two-stage clustering method combining the self-organizing map (SOM) neural network with the K-means algorithm, facilitating the classification of these watersheds into various groups. Each group of small watersheds was then analyzed for its unique characteristics. To validate the reasonableness of the classification results, the flood peak modulus of each watershed was calculated using a hydrologic-hydraulic method, while a parameter transplantation study was carried out and generalized for the clustering results. The findings indicate that the SOM-K-means clustering method efficiently classified the watersheds into 12 similar groups, validating its effective application in small watershed classification. This classification assists in solving the problem of flood forecasting in the ungauged watersheds in Shandong Province and developing more effective flood risk management strategies.
Insight into groundwater level prediction with feature effectiveness: comparison of machine learning and numerical methods
Authors: Goodarzi Mohammad Reza , Bafrouei Hamidreza Bana , Vazirian Majid 
Published: December 2024

ABSTRACT

Reliable simulation of groundwater fluctuation is imperative for implementing sustainable groundwater management so that not only local people will be covered, but also environmental threats are going to be restrained in the future. This research aims to scrutinize the accuracy of numerical model (NM) and machine learning (ML) methods for groundwater level prediction (GWLP) for Yazd-Ardakan Plain from 2012 to 2019 in monthly steps. Additionally, principal component analysis (PCA) is applied to investigate the impact of each ML input feature on GWLP. The study area's aquifer data were analyzed and prepared to develop the conceptual model of MODFLOW and train ML algorithms for GWLP. Considering observation wells (OBWs), operation wells (OPWs), and their latitude and longitude as input features in convolutional neural networks (CNN), support vector machine (SVM), and decision tree (DT) algorithms, GWLP was performed. The results demonstrate that although MODFLOW considers the unique features of the aquifer, the most accurate GWLP was achieved by SVM, with root mean square errors (RMSE), correlation coefficient (), and area under the receiver operating characteristics (ROC) curve (AUC) values of 0.12, 0.90, and 0.94, respectively. Furthermore, PCA presented that the observed groundwater level (GWL) was the most effective feature with 71%.
Geochemical assessment of groundwater quality using Nemerov's pollution index: a micro-level study in the groundwater critical zone of western Rajasthan, India
Authors: Parihar Sangeeta , Jadhav Raina , Pachak Suresh Kumar , Solanki Vijendra Singh , Alarifi Saad S. , Yadav Krishna Kumar , Agarwal Neha , Ghosh Tathagata , Yadav Virendra Kumar 
Published: December 2024

ABSTRACT
The pollution index is a helpful tool for assessing the quality of groundwater. To assess the water quality in the southern segment of Barmer District (Rajasthan), India, we collected 20 samples of groundwater from the post-monsoon 2021 and pre-monsoon 2022 periods. Physicochemical parameters such as pH, electrical conductivity (EC), total hardness, Cl−, SO4--, F−, NO3−, total dissolved solids, Ca2+, and Mg2+ were analyzed. To better understand the spatial and temporal variations, maps were generated in the Geographic Information System (GIS) environment in association with the seasonal correlation matrix. Nemerov's index method was used for determining the pollution level of groundwater sources. The results showed that there was significant spatial and temporal variation in the concentration level of physicochemical parameters. The correlation matrix revealed that the level of positive correlation among the parameters was higher during the pre-monsoon period of 2022 compared to the post-monsoon period of 2021. The result was evaluated using the standard set by the World Health Organization and the Bureau of Indian Standards. According to the result obtained from Nemerov's index technique, most parameters were within safe conditions in both seasons except for EC and NO3-. The results indicated that the improved Nemerov index technique can represent the status of groundwater more accurately.
Climate change and waterborne diseases in temperate regions: a systematic review
Authors: Salubi Eunice A. , Gizaw Zemichael , Schuster-Wallace Corinne J. , Pietroniro Alain 
Published: December 2024

ABSTRACT

Risk of waterborne diseases (WBDs) persists in temperate regions. The extent of influence of climate-related factors on the risk of specific WBDs in a changing climate and the projections of future climate scenarios on WBDs in temperate regions are unclear. A systematic review was conducted to identify specific waterborne pathogens and diseases prevalent in temperate region literature and transmission cycle associations with a changing climate. Projections of WBD risk based on future climate scenarios and models used to assess future disease risk were identified. Seventy-five peer-reviewed full-text articles for temperate regions published in the English language were included in this review after a search of Scopus and Web of Science databases from 2010 to 2023. Using thematic analysis, climate-related drivers impacting WBD risk were identified. Risk of WBDs was influenced mostly by weather (rainfall: 22% and heavy rainfall: 19%) across the majority of temperate regions and hydrological (streamflow: 50%) factors in Europe. Future climate scenarios suggest that WBD risk is likely to increase in temperate regions. Given the need to understand changes and potential feedback across fate, transport and exposure pathways, more studies should combine data-driven and process-based models to better assess future risks using model simulations.
Review of policies for building climate resilience in urban sanitation systems and services in Nepal
Authors: Manandhar-Sherpa Anjali , Lüthi Christoph , Howard Guy 
Published: December 2024

ABSTRACT

Building resilience of sanitation systems and services to changing climate is necessary to ensuring continuity of essential sanitation services in the face of hazardous events. An approach towards this solution is to create a robust enabling environment through policies for planning and implementing adaptation measures. The objective of this study is to review the climate change and water and sanitation policies in Nepal to assess the adequacy of the documents in addressing climate resilience in sanitation systems and services, with focus on urban on-site sanitation. This paper is based on desk review of existing policy and plan documents related to climate change and water, sanitation, and hygiene (WASH) in Nepal. The review has revealed that sanitation and climate change are addressed only to a limited extent, while focus on urban on-site sanitation is inadequate. These documents are therefore insufficient to provide guidance to build resilience in urban on-site sanitation systems and services. The paper concludes that sanitation-specific policies and programmes can tackle the sanitation challenges more effectively and address climate-related vulnerabilities in urban on-site sanitation systems and services. Enhanced collaboration among different stakeholders can create an environment conducive for policy changes and investments.
Evaluating extreme climatic indices in a mountainous region using satellite data: a framework to advance climate resilience and sustainable development
Authors: Mbalibulha Ezira , Wasswa Joseph , Obura Denis 
Published: December 2024

ABSTRACT

Batwa communities inhabiting Uganda's complex topography lack timely access to climate information services (CISs) due to scarce meteorological stations. Tailoring historical satellite data to local spatio-temporal dimensions is central to catalyzing sustainable development goals (SDGs). This study employed satellite data from 1983 to 2023 to inform sustainable and climate-smart decision-making for the Batwa communities in southwestern Uganda. Daily precipitation (DPR) and air temperature data were obtained from the Climate Hazard Group Infrared Precipitation with Station (CHIRPS) and the NASA Power website (NASAPW), respectively. ClimPACT3 model was employed to generate climate indices (CIs) while R-Instat was utilized to perform statistical analysis. Results revealed that the area experiences wetter than normal conditions, with precipitation (PR) ranges of 1,006–1,489 mm. A significant (p-value &lt; 0.05) increase in the annual sum of daily precipitation (ASDPR) &gt; the 95th percentile was observed. The daily minimum temperature (DTMin.) and maximum temperature (DTMax.) ranged from 13.1 to 14.5 °C and 24.0 to 26.4 °C, respectively. The current study connected the implications of the results to the broader SDGs. The synergies between SDG 13 and other SDGs were also established. Therefore, the study's outcomes are imperative in advancing climate resilience for the agricultural, health, and water resources sectors.