bluuebunny/crossref_metadata_2025 huggingface dataset:
Will groundwater-borne nutrients affect river eutrophication in the future? A multi-tracer study provides evidence
Authors: Zill Julia , Suckow Axel , Mallast Ulf , Sültenfuß Jürgen , Siebert Christian
Published: February 2025

Abstract. Groundwater can be a major source of nutrients and contaminants to river systems in agriculturally active areas with significant implications for water quality and ecosystem health. The Elbe river in eastern Germany, characterised by Cretaceous aquifers upstream and Quaternary aquifers downstream, is located in areas of intense agricultural activity and is therefore vulnerable to nutrient fluxes. This study investigates the time scales of diffuse groundwater-borne nutrients entering the river using multi-environmental tracers (³H/³He, SF₆, CFCs, ¹⁴C). By applying lumped parameter models, we concluded on time scales of groundwater flow from recharge to the river ranging from 0 to 41 years, with infiltration occurring predominantly after 1985. Our results highlight a young groundwater system with measurable denitrification and minimal to moderate admixtures of older water fractions clearly discernible with helium. This suggests that the legacy of nutrient inputs from intensive fertilisation during the GDR period (1945–1989) has already peaked, with groundwater-borne nutrient concentrations expected to decline over the coming decades. These results are crucial for informing river basin management strategies aimed at mitigating eutrophication and protecting aquatic ecosystems. It provides valuable insights into the temporal dynamics of groundwater contributions to surface waters and their regional implications for sustainable resource management.
Southern Annular Mode Persistence and Westerly Jet: A Reassessment Using High-Resolution Global Models
Authors: Chen Ting-Chen , Goosse Hugues , Aengenheyster Matthias , Strommen Kristian , Roberts Christopher , Roberts Malcolm , Ghosh Rohit , von Storch Jin-Song , Libera Stephy
Published: February 2025

Abstract. This study evaluates the performance of high-resolution (grid sizes of 9–28 km for the atmosphere; 5–13 km for the ocean) global simulations from the EERIE project in representing the persistence of the Southern Annular Mode (SAM), a critical driver of Southern Hemisphere climate variability. Using the decorrelation timescale of the SAM index (τ), we compare EERIE coupled and atmosphere-only (AMIP) simulations with CMIP6 and ERA5 datasets. EERIE coupled simulations improve the long-standing biases in SAM persistence, especially in early summer, with τ values of 9–17 days compared to CMIP6’s 9–32 days. This improvement generally correlates with a more accurate climatological jet latitude (λ0) distribution in EERIE simulations than in CMIP6, but such a correlation is not robust within EERIE AMIP simulations with a well-represented jet location, suggesting other factors in play. With prescribed SSTs, EERIE AMIP show even smaller biases in both τ and λ0 than EERIE coupled runs, highlighting the critical role of SST representation. Using the same AMIP model, finer grids (9 km vs. 28 km) can further reduce τ, but the underlying cause remains unclear, likely because of potential compensation between different processes. Sensitivity experiments filtering ocean mesoscale features in SST boundary conditions suggest that mesoscale processes enhance SAM persistence by ~2 days in early summer, though this effect is clear in ensemble means at 28 km but not in the single 9-km runs. We also show that the atmospheric eddy feedback strength is a better indicator than λ0 to infer the SAM persistence, although the metric alone does not fully explain the τ differences across SST scenarios. These findings underscore the interplay of dynamic processes influencing SAM persistence and offer insights for advancing global climate model performance.
Variations of the magnetic declination at mid-latitude European stations during the Carrington-like event on 29 October 2003
Authors: Valach Fridrich , Váczyová Magdaléna , Koči Eduard
Published: February 2025

Abstract. Based on the declination observed at mid-latitude European stations, we studied the current system that is a candidate for the cause of the sharp drop in horizontal intensity (H) of the geomagnetic field that occurred in that part of the globe on 29 October 2003. The newest knowledge says that the current system consisted of a pair of field-aligned currents (FACs) forming a dayside current wedge: in the early afternoon sector, it was a stationary upward FAC, and in the dawn sector, it was a westward-moving downward FAC. We found the velocity of −1.08 °/min ± 0.38 °/min for the wedge centre, roughly half the velocity of the westward-moving downward FAC. Our results contribute to arguments that the dayside current wedge was the probable cause of the H-drop on 29 October 2003.
Drivers of high frequency extreme sea level around Northern Europe – Synergies between recurrent neural networks and Random Forest
Authors: Heuzé Céline , Carlstedt Linn , Poropat Lea , Reese Heather
Published: February 2025

Abstract. Northern Europe is particularly vulnerable to extreme sea level events as most of its large population, financial and logistics centres are located by the coastline. Policy makers need information to plan for near- and longer-term events. There is a consensus that for Europe, in response to climate change, changes to extreme sea level will be caused by mean sea level rise rather than changes in its drivers, meaning that determining current drivers will aid such planning. Here we determine from explainable AI the meteorological and hydrological drivers of high frequency extreme sea level at nine locations on the wider North Sea – Baltic coast using Long Short Term Memory (LSTM, a type of deep recurrent neural network) and the simpler Random Forest regression on hourly tide gauge data. LSTM is optimised for targeting the excess values, or periods of prolonged high sea level; Random Forest, the block maxima, or most extreme peaks in sea level. Through permutation feature of the LSTM, we show that the most important driver of the periods of high sea level over the region is the westerly winds, whereas the Random Forest reveals that the driver of the most extreme peaks depends on the geometry of the local coastline. LSTM is most accurate overall, although predicting the highest values without overfitting the model remains challenging. Despite being less accurate, Random Forest agrees well with the LSTM findings, making it suitable for predictions of extreme sea level events at locations with short and/or patchy tide gauge observations.
Technical note: Acidification methodology impacts sediment decarbonation as revealed by bulk and serial oxidation measurements
Authors: He Songfan , Yang Huiyuan , Cui Xingqian
Published: February 2025

Abstract. Acidification is frequently adopted to remove carbonates preceding particulate organic carbon (POC) measurements. In practice, acid rinsing and acid fumigation are two typical and well-established acidification methods eliminating inorganic carbon. However, detailed protocols therein are most likely adopted based on conventional laboratory practices, assuming that the measurement precision is unaffected by experiment conditions. In fact, acidification can cause mineral dissolution and leaching of organic components, and therefore impacts the quantity and composition of residual POC considerably. Nonetheless, the effect of acidification on POC properties and the underlying mechanisms are ambiguous when relying solely on bulk measurements. In this study, we investigated POC properties following acidification using ramped temperature pyrolysis/oxidation (RPO) technique, in combination with bulk carbon analyses, to assess the impact of different decarbonation pretreatments on the sedimentary organic carbon (OC) measurements. Our results reveal that both acidification method (rinsing or fumigation) and HCl concentrations under acid rinsing are main factors dictating OC properties measured. Notably, despite negligible differences in bulk measurements, RPO results show distinct variations between these two acidification methods. In combination with other evidence, our study suggests that the alteration of organic-inorganic associations, which is ubiquitous during acidification, drives the behaviour of POC properties that measured. Furthermore, we demonstrate that the characteristics of residual POC in acid-rinsed samples are more proximal to pristine, natural states of the raw materials, whereas the strikingly discrepant differences between two acidification methods can be attributed mainly to the perturbation caused by calcium chlorides after acid fumigation.
High-resolution hydrometeorological and snow data for the Dischma catchment in Switzerland
Authors: Magnusson Jan , Bühler Yves , Quéno Louis , Cluzet Bertrand , Mazzotti Giulia , Webster Clare , Mott Rebecca , Jonas Tobias
Published: February 2025

Abstract. We present an hourly hydrometeorological and snow dataset with 100 m spatial resolution from the alpine Dischma watershed and its surroundings in eastern Switzerland, including station measurements of variables such as snow depth and catchment runoff. This dataset is particularly suited for different modelling experiments using distributed and process-based models, including physics-based snow and hydrological models. Additionally, the data are highly useful for testing various snow data assimilation schemes and for developing models representing snow–forest interactions. The dataset covers 7 water years from 1 October 2016 to 30 September 2023. The complete domain spans an area of 333 km2 with altitudes ranging from 1250 to 3228 m. The Dischma Basin, with its outlet at 1671 m elevation, occupies 42.9 km2. Included in the dataset are high-resolution (100 m) hourly meteorological data (air temperature, relative humidity, wind speed and direction, precipitation, and long- and shortwave radiation) from a numerical weather predication model and rain radar, land cover characteristics (primarily forest properties), and a digital elevation model. Notably, the dataset includes snow depth acquisitions obtained from airborne lidar and photogrammetry surveys, constituting the most extensive spatial snow depth dataset derived using such techniques in the European Alps. Along with these gridded datasets, we provide daily quality-controlled snow depth recordings from seven sites, biweekly snow water equivalent measurements from two locations, and hourly runoff and stream temperature observations for the Dischma watershed. The data compiled in this study will be useful to further develop our ability to forecast snow and hydrological conditions in high-alpine headwater catchments that are particularly sensitive to ongoing climate change. All data are available for download at https://doi.org/10.16904/envidat.568 (Magnusson et al., 2024).
The innovation the driver for circular economy
Authors: Ciloci Rafael , Turcan Iuliu
Published: February 2025

The modern economy faces critical challenges, including resource depletion, environmental degradation, and biodiversity loss, driven by population growth and rising consumption. These issues necessitate a transition from a linear to a circular economic model. A circular economy emphasizes resource efficiency, waste reduction, and product lifecycle extension through practices such as recycling, refurbishing, and eco-design. It integrates sustainability-oriented innovation to minimize resource consumption, optimize production processes, and foster new business models like the sharing economy and reverse logistics. Technological advancements, such as IoT, AI, and blockchain, enable circular strategies by enhancing traceability, reducing emissions, and creating efficiencies. Innovations like biodegradable materials, modular product design, and waste-to-resource transformation contribute to circularity, as do policy measures like Extended Producer Responsibility (EPR) and public-private partnerships. However, challenges remain, including high transition costs, regulatory differences, and limited scaling opportunities, often leaving innovation in this domain to agile start-ups. Education and policy reforms are crucial to fostering a culture of sustainability and stimulating innovation in circular practices. Investments in research, infrastructure, and incentives are essential to overcome barriers and promote systemic change. Ultimately, innovation serves as a vital catalyst for the circular economy, enabling businesses to align environmental, social, and economic goals, thereby paving the way for a sustainable future.
Real estate investments engine of development of sustainable local communities in the Republic of Moldova
Authors: Lesan Anna
Published: February 2025

Real estate investments are the oldest type of investment in the world, they represent an important component of the economy of the Republic of Moldova, being considered a field with great potential for development and economic growth of the country, thus the legislative framework related to attracting foreign investments was analyzed because for it is very important for an investor to know the legislation in force that can provide a solid basis for informed investment decisions and can contribute to the sustainable development of the real estate sector in the Republic of Moldova. Attracting real estate investment is a complex process and requires a strategic approach to be effective. Real estate investments in the Republic of Moldova can play a significant role in the economic development of the country and can bring benefits to both investors and local communities, thus the advantages and challenges of real estate investments were analyzed, as well as the factors that influence the investment attractiveness on the real estate market in the Republic of Moldova. Moldova, the main sectors of interest for investors were analyzed and the impact of real estate investments on the development of sustainable communities in the Republic of Moldova was presented.
The role of professional networks and mentorship in supporting career development within a sustainability context
Authors: Cuconasu Viorica
Published: February 2025

The paper aims to analyze the importance of professional networking and mentoring in supporting career development in the context of sustainable development. Through a theoretical and practical approach, it will explore how professional networking and mentoring can help promote sustainable career and organizational development. The paper aims to provide a comprehensive perspective and identify relevant tools and strategies for optimizing professional networks and mentoring in supporting sustainable career development.
Pak Viruddha Aahara: A Conceptual Study
Authors: Yadav Priyanka , Sharma Ashok Kumar , . Ankita
Published: February 2025

In Ayurveda, the concept of Pak Viruddha Aahara focuses on dietary incompatibilities arising from improper cooking and food preparation methods. Derived from the Sanskrit terms "Pak" (cooking) and "Viruddha" (incompatible), it emphasizes how cooking practices can influence the qualities of food, potentially leading to health imbalances. Improperly prepared food—such as overcooked, undercooked, reheated, or burnt items—can impair digestion, produce toxins (Ama), and disrupt the balance of the body's Dosha (Vata, Pitta, Kapha). This article explores the classical Ayurvedic understanding of Pak Viruddha Aahara, provides examples, examines its effects on health, and highlights its modern relevance. With the rise in processed and reheated foods, the principles of Pak Viruddha Aahara offer valuable insights for preventing lifestyle diseases and promoting holistic well-being through mindful cooking and dietary practices.

Key words: Ayurveda, Viruddha Aahar, Aahara, Samhita
A Modified Dynamic 3-Dimensional Tri-planar Corrective Brace for Management of Torticollis -
A Case Study
Authors: Sahoo Prakash , Kumar Pany Tanmaya , Patro Akshaya Ranjan , Equebal Ameed , Narayan Lalit
Published: February 2025

Torticollis is a congenital condition caused by the shortening of the sternocleidomastoid muscle, leading to abnormal head positioning with lateral tilt and contralateral rotation. Traditional cervical orthoses, such as static rotational control cervical braces, often lack adjustability, comfort, and dynamic functionality. This study aims to design and develop a lightweight, adjustable, and dynamic 3-dimensional tri-planar corrective torticollis brace. The proposed orthosis provides gradual correction in all three planes, relieving neurological conditions associated with compressed nerves and chronic pain, while enhancing the patient’s ability to perform routine activities. The brace realigns the cervical spine and cervical-occipital joint, redistributes gravitational stress, and maintains the head in the desired posture through its biomechanical design. Results indicate improved daily living activities, reduced upper extremity pain, and a significant decrease in contracture angle from a mean of 30° to 10°.

Key words: Torticollis, cervical orthosis, 3D tri-planar correction, biomechanical design, posture correction, cervical spine realignment.
Evaluation of Hematological and Coagulation Parameters in Oral Squamous Cell Carcinomas:
A Study at a Tertiary Care Centre
Authors: Chauhan Varsha , Jain Kunal , Pujani Mukta , Agarwal Charu , Singh Kanika , Singh Mitasha , Chandoke RK
Published: February 2025

Introduction: Oral cancer is one of the most common cancers worldwide and a major health problem in India accounting for 30% of all types of cancer. Platelet plays an essential role in physiological and pathological processes such as coagulation, inflammation and thrombosis. Platelet count (PC) and platelet indices (PI) such as, mean platelet volume (MPV), platelet crit (PCT), platelet distribution width (PDW) and platelet large cell ratio (PLCR) are known to be affected in various clinical conditions and recently their role as an inflammatory marker in cancer cases is being studied. However, data regarding oral cancer is limited. Authors say activated platelets with higher volume are associated with increased thrombotic potential through the activation of the coagulation cascade.
Objectives: To evaluate PC, platelet indices and coagulation profile in patients of oral cancers and compare them with healthy controls. Also, to study the relationship of platelet indices and coagulation parameters with clinicopathological framework in oral cancers.
Results: Statistically strongly significant differences on comparing health individuals with oral cancer patients were observed in MCH, RBC, WBC, PDW, MPV and APTT. Furthermore, RBC count emerged as a parameter of significance between different histological grades of oral cancer.
Conclusion: To summarise, simple and cost effective yet integral methods like platelet, haematological and coagulation parameters should be considered as an essential part of the work up of oral cancer patients in order to arrest delay in diagnosis henceforth propelling timely diagnosis, commencement of treatment and improving the overall prognosis of oral cancer patients.

Key words: Oral cancer, Platelet indices, Coagulation cascade, Clinicopathological
An algorithm for classifying surface targets using passive radar dat
Authors:   JSC “Scientific and Production Company “Kaluga Instrument Engineering Plant “Typhoon”, Bocharov P. V. , Libman M. S. ,   JSC “Scientific and Production Company “Kaluga Instrument Engineering Plant “Typhoon”
Published: February 2025

This paper introduces an algorithm for the automatic classification of surface targets based on data from passive radar stations. The primary focus is on developing an end-to-end classification approach that minimizes the loss of potential solutions by accounting for all possible classification scenarios of radio-electronic systems (RES) at intermediate stages. To describe the parameters of radio emissions, n-dimensional vectors are utilized, where discrete and continuous parameters are modeled through intervals. This allows for the consideration of emission variability under real-world conditions. The algorithm is grounded on set theory and probabilistic methods, adapted to scenarios where narrow probabilistic distributions are unavailable. The classification process consists of two stages: identifying RES based on their radio emissions and classifying carriers using combinations of RES. The key advantage of the proposed approach is its ability to preserve all classification options and incorporate them into the decision-making process for selecting the recommended solution. Examples of the algorithm’s application illustrate its effectiveness in real-world scenarios. Computational costs are analyzed, and potential directions for further optimization are identified to enable integration into automated surface surveillance systems.
Pixel integration using weighted sum in active radar systems
Authors:   Baltic State Technical University “VOENMEH”, Zakharov S. A. , Masyagina D. A. ,   Baltic State Technical University “VOENMEH”, Konoplev Yu. V. ,   Baltic State Technical University “VOENMEH”, Sotnikova N. V. ,   Baltic State Technical University “VOENMEH”
Published: February 2025

This paper proposes an approach to data integration at the pixel level using a weighted sum method, which enables the application of weights to different channels or pixels. This adaptability allows the method to be tailored to specific tasks and conditions. For instance, signals from more reliable data sources can be amplified, while noise components can be suppressed. Unlike more complex algorithms such as the Kalman filter or machine learning techniques, this method offers relatively low computational complexity. This makes it suitable for processing large volumes of data in real time or under constraints of limited computing resources.
On the possibility of applying neural network technologies to optimize standard control of design documentation in defense industrial organizations
Authors:   AO “FSPC “Titan-Barricades”, Penshin I. S.
Published: February 2025

The article examines the potential application of neural network technologies and computer vision to automate the standard control process for design documentation. Standard control, a critical stage in engineering design, traditionally demands substantial time, labor resources, and a high level of specialist expertise. Modern deep learning methods offer the potential to significantly reduce these demands, eliminate human factor influence, and minimize the risk of errors. The study highlights algorithms that ensure the verification of design drawings against regulatory standards such as GOST and ESKD. A concept for an automated standard control system (ASC) is introduced, which integrates with CAD systems and incorporates stages such as data preprocessing, image analysis, comparison with reference standards, and generating reports on detected discrepancies.
Methodology for the development and operation of computer models of aircraft
Authors:   Moscow Aviation Institute (National Research University), Pravidlo M. N. , Biryukov P. A. ,   Toropov Machine-Building Design Bureau “Vympel”, Tishchenko D. Yu. ,   Moscow Aviation Institute (National Research University)
Published: February 2025

This paper analyzes the key challenges encountered during large-scale calculations using simulation-based computer models in research, development, testing, and engineering projects and proposes solutions based on a systematic approach. The features of creating digital computer models structured as hierarchical systems of functional digital twins and fractals are examined in detail. The study also specifies the technology for organizing and conducting simulation modeling, employing original tools for automating the preparation of input data, parallelizing computations, and analyzing results.
The evolution of radio-inertial-satellite navigation systems in transition between different integration levels
Authors:   Baltic State Technical University “VOENMEH”, Aleksandrov A. A. , Shevchik A. A. ,   Baltic State Technical University “VOENMEH”
Published: February 2025

Accurate positioning of unmanned aerial vehicles (UAVs) in space necessitates new approaches to autonomous navigation and the protection of externally corrected data from external measurement sources. This paper presents an overview of the evolution of radio-inertial-satellite navigation systems with external corrections, focusing on the latest advancements in the design of “deep” integration schemes. The future directions for their development and practical application are also discussed.
Model for calculating thermodynamic parameters of the Earth’s atmosphere and wind speed in the altitude range of 0–30,000 m
Authors:   Russian Federal Nuclear Center – Zababakhin All-Russian Research Institute of Technical Physics, Andreev S. G. , Vorobyova V. N. ,   Russian Federal Nuclear Center – Zababakhin All-Russian Research Institute of Technical Physics, Donovsky D. E. ,   Russian Federal Nuclear Center – Zababakhin All-Russian Research Institute of Technical Physics, Startseva V. G. ,   Russian Federal Nuclear Center – Zababakhin All-Russian Research Institute of Technical Physics
Published: February 2025

This paper presents the results of an applied study aimed at developing a mathematical model for calculating the thermodynamic parameters of the Earth’s atmosphere and the wind speed components. The model is designed for subsequent integration into specialized computational software for use in rapid operational calculations. The model allows calculating average monthly values of meteoparameters (temperatures, pressure, density, wind speed components) for every spot on the globe. The solvency of model is confirmed with realization in computing systems of the products 3K and A2, results of practical tests of the products.
Application of a bitstream corrector based on hidden markov models for demodulating angle-modulated signals
Authors:   Baltic State Technical University “VOENMEH”, Meshkov S. A. , Bogachev M. A. ,   Saint Petersburg State Electrotechnical University “LETI”,   LLC Special Technology Center
Published: February 2025

The current methodology for correcting angle-modulated signals is rather limited. It primarily relies on modified Wiener filter methods, which are applicable only to linear modulations. For nonlinear modulations, heuristic algorithms are typically employed, whose effectiveness is challenging to evaluate from a theoretical perspective. This paper proposes an algorithm for correcting angle-modulated signals using the theory of hidden Markov models (HMMs), which can predict errors in the demodulated bitstream. The proposed algorithm is distinguished by its high degree of parallelizability, enabling efficient implementation on GPUs or vector processing units in CPUs, thereby ensuring high computational speed.
СТРАТЕГИЧЕСКОЕ УПРАВЛЕНИЕ СТОИМОСТЬЮ ПРОЕКТНОГО ФИНАНСИРОВАНИИ ЖИЛИЩНОГО СТРОИТЕЛЬСТВА
Authors: Ubogovich Yuliya Ivanovna , Tinenkova Nataliya Konstantinovna
Published: February 2025

Проектное финансирование в строительстве – это основной рабочий инструмент привлечения средств для реализации проектов, предлагаемый кредитными институтами. В условиях ужесточения кредитно-денежной политики Центрального банка, направленной на охлаждение рынка жилья. Девелоперы сталкиваются с необходимостью пересмотра процессов финансового планирования. В статье обоснована важность стратегического подхода в выборе инструментов проектного финансирования жилищного строительства. Рассмотрены варианты управления снижением процентной ставки по кредиту в зависимости от наполнения счетов эскроу на разных этапах строительства с применением специальных программ. Рассчитан наиболее оптимальный вариант объема продаж для сокращения общей выплаты затрат по кредиту банку в целях обеспечения снижения стоимости строительства.
АЛГОРИТМ БЕЗОПАСНОЙ ОБРАБОТКИ ДАННЫХ В ПРОЦЕССЕ ЭЛЕКТРОННОГО ГОЛОСОВАНИЯ СОБСТВЕННИКАМИ МНОГОКВАРТИРНЫХ ДОМОВ
Authors: Kosmacheva Irina Mikhaylovna , Davidyuk Nadezhda Valeryevna , Sibikina Irina Vyacheslavovna
Published: February 2025

В статье проанализированы подходы к защите данных от подделки, утраты и утечки, возникающих в процессе электронного голосования жителями многоквартирных домов, когда часть данных по голосованию заносится в систему через посредника, а не лично собственником. В сфере жилищно-коммунального хозяйства активно внедряются информационные системы, такие как государственная информационная с поддержкой функции проведения электронных голосований, на основе которых принимаются юридически значимые решения. При этом практика таких голосований ничтожна и нет полноценных исследований угроз информационной безопасности, возникающих при использовании таких сервисов. Предлагается учитывать особенности участников или организаторов голосования на основе системы специальных показателей, значение которых сохраняется в базе данных. В работе представлен демонстрационный расчетный пример использования показателей в системе нечеткого вывода для прогнозирования вероятности угроз, возникающих в процессе голосования.
КОНСТРУКЦИЯ ФУНДАМЕНТА НА СКАЛЬНОМ ОСНОВАНИИ,
РАБОТАЮЩАЯ НА ВЫДЕРГИВАНИЕ В СТЕСНЕННЫХ УСЛОВИЯХ
Authors: Sokolov Artem Aleksandrovich
Published: February 2025

При строительстве и реконструкции инфраструктуры городов необходимо учитывать оптимизацию использования земельных ресурсов. Это подразумевает уменьшение размеров фундамента и позволяет эффективнее использовать площадь участка, особенно в случае ограниченного пространства. В данной работе рассматривается проект и анализ расчета нового типа фундамента для использования в инфраструктуре г. Норильск. При проектировании учитывались несколько важных условий: большие вырывающие нагрузки, климатические условия и устройство на скальном грунте. Основной задачей была возможность максимально
уменьшить габариты фундамента. Для разработки предложено совместить химическую анкерную систему
и буронабивную сваю. Применение проектируемого варианта можно рассматривать для решения проблемы
размещения новых фундаментов для сооружений и опор при реконструкции коммунального хозяйства г. Норильска в местах, где нет возможности запроектировать более габаритные столбчатые фундаменты
ОТЕЧЕСТВЕННЫЙ ОПЫТ ОПРЕДЕЛЕНИЯ ПОТРЕБНОСТИ В ИНЖЕНЕРНОЙ ИНФРАСТРУКТУРЕ ПРИ ГРАДОСТРОИТЕЛЬНОМ РАЗВИТИИ ТЕРРИТОРИЙ
Authors: Ivankova Marina Aleksandrovna , Кostyuchenko Tatyana Vladimirovna , Sattarova Dina Ilyinichna , Martirosov Eduard Georgiyevich
Published: February 2025

В статье проанализированы основные градостроительные уровни проектирования инженерной инфраструктуры, начиная со стратегических документов Российской Федерации и заканчивая проектными предложениями в регионах и муниципальных образованиях. Проведен анализ методических рекомендаций по разработке проектов градостроительной документации в области инженерной инфраструктуры и авторских подходов по расчету потребности в ней. Анализ позволил установить мероприятия, которые необходимо организовать для расчетов потребности в объектах инженерной инфраструктуры каждого вида (водоснабжение/водоотведение; теплоснабжение; газоснабжение; электроснабжение; сети связи). Сделаны выводы о применимости результатов как основы для совершенствования подходов по определению потребности в инженерной инфраструктуре при градостроительном развитии территорий.
ВЫБОР ПЛАСТИФИКАТОРА ДЛЯ РАЗРАБОТКИ ВИБРОПОГЛОЩАЮЩИХ ПОЛИМЕРНЫХ МАТЕРИАЛОВ НА ОСНОВЕ ЭТИЛЕНВИНИЛАЦЕТАТА
Authors: Volotskoy Aleksey Nikolayevich , Avdonin Valeriy Viktorovich
Published: February 2025

Научная статья посвящена прогнозированию динамических свойств вибропоглощающих полимерных композиционных материалов. Выполнен анализ влияния полярных и слабополярных пластификаторов на вибропоглощающие характеристики этиленвинилацетата. Показано, что полярность структурообразующих компонентов полимерного композиционного материала оказывает значительное влияние на его динамические свойства. Для изучения динамических характеристик (тангенс угла механических потерь tgδ, динамический модуль упругости E') вибропоглощающих полимерных композиционных материалов применялся современный метод динамического механического анализа, позволяющий получить информацию об изменении данных характеристик в широком диапазоне температур. Результаты исследования могут быть использованы для разработки принципов проектирования составов вибропоглощающих полимерных материалов.
"The Impact of AI on Pharma R&D: Accelerating Innovation in Drug Developments"
Authors: Rakesh Paul
Published: February 2025

The paper investigates how AI technologies, particularly machine learning, with deep learning and natural language processing, transform drug development processes. The pharmaceutical R&D sector transforms its operations through artificial intelligence technology implementation into industry operations. Pharmaceutical R&D operates more efficiently with AI implementation because they can reach drug market launches quickly with precise drug development results obtained at reduced research costs through shorter product development frameworks. This initial part highlights how conventional research development encounters increasing barriers due to high project fees and numerous unsuccessful outcomes AI intervention becomes essential. The analysis combines literature research, pharmaceutical case studies and expert professional interviews to develop findings. The research employed data derived from peer-reviewed publications and corporate reports as well as AI conference papers. The research studies how AI is implemented through three core R&D segments that concentrate on target discovery together with drug transformation operations alongside clinical trial optimization initiatives. The evaluation of drug development acceleration examines two advanced tools, which consist of AI-powered molecular modeling and predictive analytics. Pharmaceutical research development speeds quickly transform through AI systems, which  improve operational effectiveness across drug discovery and development processes. AI technology has proven to reduce pharmaceutical timelines while decreasing production costs while simultaneously improving predictive abilities for decision support. Pharmaceutical R&D organizations speed up development processes with AI technology to address critical global health needs, according to research findings. AI exploitation in the pharmaceutical sector needs a complete evaluation of ethical components with regulatory structures and expert workforce deployment approaches.
Computational Assessment of Thiazole Derivatives as Potential Antidiabetic Agents through Molecular Docking Studies
Authors: K Babu Jees Mariya , K N Arathi , S Lakshmi , V P Sanzeera , S Swetha , H Gayathri , B Lakshminarayanan
Published: February 2025

Thiazole and its derivatives constitute a highly potent class of compounds known for their antidiabetic, antiviral, antitubercular, and anti-inflammatory properties, among other benefits. This study aims to assess the binding interactions between the protein (PDB ID: 4GQR) and various thiazole derivatives. Using computer-aided drug design, we created 52 thiazole compounds and predicted their effectiveness compared to the reference drug acarbose. The target protein for the in-silico analysis was Human Pancreatic Alpha-Amylase in complex with myricetin. Among these compounds, T13 exhibited a binding energy of -65.4933, indicating superior antidiabetic potential compared to acarbose, as demonstrated by molecular docking experiments. Our computational findings provide insightful data on the interactions between thiazole derivatives and the 4GQR protein, suggesting these compounds as promising candidates for antidiabetic drug development.
Pharmacovigilance for Herbal Medicines
Authors: Jakkannavar Akash , Patil Sneha , Patil Mrityunjaya , Suryawanshi Shailendra
Published: February 2025

Pharmacovigilance, which is often connected with monitoring the safety of conventional pharmaceuticals, has expanded to include herbal medications. The usage of herbal medications has significantly increased worldwide due to their increasing popularity, which is fuelled by people's perceptions of their natural origin and perceived safety. Nonetheless, there are a number of hazards associated with the absence of strict regulatory frameworks and uniform quality controls, including as adulteration, contamination, and variation in active ingredients. The evaluation of adverse reactions and the identification of causative linkages are made more difficult by these considerations. This review explores the many approaches used in the pharmacovigilance of herbal products, such as post-marketing research, active surveillance, and spontaneous reporting systems. Examined is the blending of classical knowledge with contemporary pharmacovigilance techniques, emphasizing the value of multidisciplinary approaches and the part played by medical professionals in identifying and disclosing adverse events. The review also addresses the difficulties in gathering and interpreting data because of the complexity of herbal remedies and the impact of cultural and ethnopharmacological variables. In order to improve the safety profile of herbal medicines, the assessment ends by recommending increased international cooperation, the creation of strong regulatory frameworks, and the promotion of public awareness.
Histological analysis of epididymis and testis in the dynamics of postnatal ontogenesis from one month to puberty of Ouled Djellal lambs
Authors: Belkhiri Yamina , Bouzebda–Afri Farida , Bouzebda Zoubir , Benbia Souheyla , Lamraoui Ramzi
Published: February 2025

The aim of the study was to analyze the ontogeny of the epididymal and seminiferous epithelium in the testis of Ouled Djellal lambs throughout postnatal development until puberty. A total of 24 Ouled Djellal lambs, aged between 1 and 8 months (mos), were used in this study, with three lambs selected at each mo of age. The lambs were surgically castrated monthly, and routine histology along with histomorphometry was performed on the processed epididymal and testis tissues using AxioVision Rel 4.6 software. Statistical analysis revealed that testis weight augmented at an accelerated rate between 4 and 8 mos postnatal, coinciding with significant testicular histology modifications. These changes included notable increases in the seminiferous tubules’ diameter and a rise in testosterone levels. The height of epithelium, as well as luminal and ductal diameters were found to be statistically different (P<0.05) among the epididymis’s caput, corpus, and cauda segments, with the maximum levels recorded during puberty. At 1 and 2 mos of age, there were two cell kinds present inside the epithelium of seminiferous: support cells and gonocytes. By 3 mos of age, the first spermatogonia were formed from gonocytes, coinciding with the testicles reaching an average weight of 4 g. Spermatogenesis was initiated as gonocytes underwent mitosis, giving rise to progenitors that further differentiated into spermatogonia. Around 4 and 5 mos of age, the seminiferous tubules began to exhibit a lumen and primary spermatocytes (spermatocytes I). Around the age of 6 mos, secondary spermatocytes and round spermatids formed a single row within the seminiferous tubules. At ages 7 and 8 mos, all generations of germ stem cells were present in the seminiferous tubules. At 8 mos of age, spermatozoa were became apparent in several segments of the epididymis in the Ouled Djellal breed, signaling the start of puberty.
Developing the Bank of Researchers for the E3UDRES2 European Universities Alliance
Authors: Vasiu Radu , Ternauciuc Andrei , Mocofan Muguras , Andone Diana
Published: February 2025

The paper has the main aim to present the experience of the Politehnica University of Timișoara in the context of its participation to one of the European Universities Alliances consortium over the last 4 years. The main subjets addressed regarding co-creation principles in teaching, learning and research are presented. Another key issue addressed is further development of Open Education, Open Science and Open Innovation experiences and strategies in the nine partner universities. Another important challenge faced by our Alliance is the digitalization strategy of the consortium, involving identification of each university’s specific needs, of their shared values and expectations, challenges and opportunities for joint collaboration. The paper also includes a SWOT analysis to assess the strengths, weaknesses (gaps) and overall adequacy of open education tools, resources and training against the needs of the E3UDRES2 alliance, all technical universities.
A Comparative Analysis of Patient Recovery and Complication Rates through Enhanced Surgical and Anesthetic Approaches in Orthopedic and General Surgery
Authors: Kaleem Abdul , Sami Mirani Abdul , Kumari Aneeta , . Khadija , Ullah Malik Ehsan , Khurram Zia Muhammad
Published: February 2025

Aims and Objectives: This study aimed to compare perioperative outcomes, complication rates, and cost-effectiveness between enhanced and conventional surgical and anesthetic techniques in orthopedic and general surgery. The objective was to evaluate postoperative recovery, pain management, complications, and healthcare costs to optimize surgical care.

Methodology: A comparative study was conducted at tertiary care hospitals in Sindh, Pakistan, following STROBE guidelines. Patients undergoing orthopedic and general surgery were categorized into four groups based on conventional or enhanced surgical and anesthetic techniques. Data on demographics, surgical parameters, anesthesia type, recovery metrics, and complications were collected through medical record reviews and standardized postoperative assessments at 1, 7, 30, and 90 days. Statistical analysis included multivariable logistic regression, t-tests, and chi-square tests, with significance set at p < 0.05.

Results: Enhanced techniques significantly reduced surgical duration (orthopedic: 112 ± 25 to 98 ± 20 min; general: 130 ± 30 to 110 ± 22 min) and intraoperative blood loss (orthopedic: 410 ± 85 to 290 ± 70 mL; general: 520 ± 95 to 310 ± 75 mL). Hospital stay decreased (orthopedic: 6.8 ± 1.2 to 4.5 ± 0.8 days; general: 7.4 ± 1.5 to 5.2 ± 1.0 days), with lower 30-day readmission rates and improved pain management. Opioid consumption and major complications, including surgical site infections and thromboembolic events, were significantly reduced.

Conclusion: Enhanced surgical and anesthetic techniques improve recovery, reduce complications, and lower healthcare costs. Findings support the broader implementation of robotic-assisted surgery and multimodal anesthesia to enhance perioperative care and surgical outcomes.

Keywords: Comparative study, enhanced surgical techniques, multimodal anesthesia, perioperative outcomes, robotic-assisted surgery, complication rates.
Rezension von: Breucker, Dorothee, Ingendahl, Gesa, Blickwinkel
Authors: Beckmann Ralf , Breucker Dorothee , Ingendahl Gesa
Published: February 2025

Dorothee Breucker und Gesa Ingendahl: Blickwinkel.Leben und Arbeit von Frauen in Ravensburg. Ein historischesLesebuch. Silberburg Verlag Stuttgart 1993.240 Seiten mit 80 Abbildungen. Gebunden DM 29,80
Rezension von: Kreuzberger, Gabriele, Fabrikbauten in Stuttgart
Authors: Schurig Roland , Kreuzberger Gabriele
Published: February 2025

Gabriele Kreuzberger: Fabrikbauten in Stuttgart. IhreEntwicklung von der Mitte des 19. Jahrhunderts biszum Ersten Weltkrieg. (Veröffentlichungen des Archivsder Stadt Stuttgart, Band 59). Klett-Cotta Stuttgart 1993.432 Seiten mit 145 Abbildungen und 51 Plänen. PappbandDM 45-
Rezension von: Hug, Wolfgang, Geschichte Badens
Authors: Kroboth Rudolf , Hug Wolfgang
Published: February 2025

Wolfgang Hug: Geschichte Badens. Konrad Theiss VerlagStuttgart 1992. 429 Seiten mit zahlreichen Abbildungen.Pappband DM 68,-
Rezension von: Mezger, Werner, Sankt Nikolaus
Authors: Setzler Wilfried , Mezger Werner
Published: February 2025

Werner Mezger: Sankt Nikolaus. Zwischen Kult undKlamauk. Zur Entstehung, Entwicklung und Veränderungder Brauchformen um einen populären Heiligen.Schwabenverlag Ostfildern 1993. 352 Seiten mit 138 Abbildungen,davon 99 in Farbe. Leinen DM 128,-
Rezension von: Blauert, Andreas, Sackgreifer und Beutelschneider
Authors: Frasch Werner , Blauert Andreas
Published: February 2025

Andreas Blauert: Sackgreifer und Beutelschneider. DieDiebesbande der Alten Lisel, ihre Streifzüge um denBodensee und ihr Prozeß 1732. Universitätsverlag Konstanz1993.104 Seiten. Gebunden DM 22,80
Modern Education Techniques And Technology For Economical Growth Of India
Authors: Naga Jyothi Aggala , singh sikh Dr Gurmeet , Mohanty Dr. Ayuta , Ann Mathew Femi , k Dhande Dr k , Karbhar Shinde Dr Asha
Published: February 2025

The post-modern-times education methods and technology influence the economic growth of India, and this study examines the influence. The study investigates the education-technology link using a mixed-method approach consisting of multiple regression analysis, qualitative informing, and an inventory of literature sources, the study allows for a thorough understanding. Findings of regression analysis show existence of positive significant links between ratios enrollment rates, technology adoption, and economic growth. Intentionally, education enrollment growth of one unit among. Teaching as one unit of technology adoption brings economic growth up 0.532 units and 0.421 units respectively. Through quantitative survey, education leaders measure the effectiveness of technology integration in schools and therefore disseminate its advantages and constraints as well as call for education policies reform and capacity building initiatives to promote the right innovations and innovators. Using the findings of research from the similar work, the paper exposes the fact that technology offers opportunities for transformation in various fields such as construction, agriculture, and renewable energy. In the years to come, the collaboration between policy makers, educationalists and the industrial leaders will be the main prerequisite to exploit latest techniques and technology that will forever help the country to attain balanced advancement and development.
The role of bacterial biofilms in pathogenesis: Insights from a systematic review
Authors: Thikra Ghaly Yousif AL-Timimi
Published: February 2025

Bacterial biofilms are complex communities of microorganisms, enclosed in a self-produced polymeric matrix that adheres to surfaces. Biofilms contain group(s) of microorganisms that are found to be associated with the biotic and abiotic surfaces. Their role in pathogenesis is increasingly recognized as a significant factor contributing to chronic infections and antimicrobial resistance. Aim of this systematic review aims to synthesize current knowledge on the impact of bacterial biofilms in various infectious diseases, focusing on their mechanisms of pathogenesis, clinical implications.
Method: systematic review analyzed studies published in the last two decades, highlighting the mechanisms by which biofilms evade host immune responses and resist antibiotic treatment. Our findings indicate that biofilm formation is associated with a variety of clinical conditions, including cystic fibrosis, chronic wounds, and medical device-related infections. Furthermore, we discuss the implications of biofilm-associated infections for public health and the need for innovative therapeutic strategies to disrupt biofilm integrity. This review underscores the critical need for continued research into biofilm biology to inform clinical practices and improve patient outcomes in infections associated with bacterial biofilms. This review looks at the primary aim of this systematic review is to comprehensively evaluate and synthesize the current literature on the role of bacterial biofilms in the pathogenesis of infectious diseases. Specifically, this study seeks to