bluuebunny/crossref_metadata_2025 huggingface dataset:
First-in-human exploratory trial assessing safety, feasibility, and efficacy of artificial protein (silk-elastin) in promoting healing in patients with meniscus injuries
Authors: Ishikawa Masakazu , Tsuji Shunya , Kamei Goki , Nakata Kyohei , Nekomoto Akinori , Hashiguchi Naofumi , Nakasa Tomoyuki , Nakamae Atsuo , Kamei Naosuke , Inoue Keiichiro , Kawabata Shingo , Ueda Keiko , Adachi Nobuo
Published: February 2025

Meniscal tears, especially those in avascular regions, pose a significant risk for osteoarthritis if repair fails. While meniscal repair is the preferred method for preserving knee function, it often has a high failure rate in avascular zones. This study aimed to evaluate the safety and potential efficacy of silk-elastin (SE), an artificial protein with wound-healing properties, for enhancing meniscal repair. Eight patients with meniscal tears in avascular areas underwent arthroscopic repair followed by SE application, including cases of lateral and medial tears, discoid lateral meniscus, and bucket-handle tears. No adverse events or reactions were attributed to SE. At 3 months post-surgery, clinical outcomes and repair sites were evaluated using MRI and arthroscopy. Significant improvements were observed in Lysholm and visual analog scale scores (P < 0.05), with the knee injury and osteoarthritis outcome scores showing significant improvement in the symptom subscale. MRI findings indicated one patient with grade 1 healing, three with grade 2, and four with grade 3 (unhealed). Arthroscopically, six patients demonstrated completely healed menisci, while two showed incomplete healing; none were classified as “unhealed.” These findings suggest that SE is safe and may support meniscal healing in avascular zones, indicating its potential to improve repair outcomes.
Optoelectric coordinated modulation of resistive switching behavior in perovskite based synaptic device
Authors: Wang Yucheng , Huang Ruixi , Zhang Wenyi , Guo Dingyun , Zheng Jiawei , Wang Hexin , Huang Fobao , Wang Zhuoya , Guan He
Published: February 2025

Triple cation halide perovskite (TCP) stands out as a superior photoelectric material, with a broader absorption range, higher absorption efficiency, and improved environmental stability. Due to its excellent synaptic plasticity, TCP facilitates advanced neural morphological operations like light-assisted learning. Here, a modifying layer of polythiophene (P3HT) was incorporated onto the TCP thin film to enhance the resistive switching (RS) characteristics of the synaptic device, which exhibits excellent stability (103 endurance cycles and > 103 s retention time) and low energy consumption (~ 6.3 pJ for electrical stimulus and ~ 6 pJ for optical stimulus). Additionally, the synaptic properties of the perovskite / P3HT heterojunction synaptic device were explored under optoelectric coordinated modulation, encompassing Long-Term Potentiation (LTP), Long-Term Depression (LTD), frequency-dependent plasticity (SRDP) and voltage-dependent plasticity (SVDP). By leveraging the linear characteristics of synaptic plasticity, arithmetic operations, Pavlovian conditioned reflex and vision recognition are achieved. The recognition accuracies of 89.8% / 88.1% (electric synapse) are enhanced to 92.4% / 92.2% after the introduction of optoelectronic cooperative stimulation on the 8 × 8 and 28 × 28 modified national institute of standards and technology (MNIST) handwritten digit datasets. This study holds significant implications for guiding the optoelectronic co-regulation of perovskite synaptic devices in the field of synaptic electronics.
Panoramic analysis of 2D dirubidium telluride monolayer benchmarking the DFT approach
Authors: Sneha G. , Eithiraj R. D.
Published: February 2025

Through the DFT computations, the structural, vibrational, electronic, elastic, optical and thermal (thermoelectric, thermodynamic) properties of the two-dimensional Rb2Te monolayer are briefly contemplated. The Perdew-Bruke-Ernzerhof (PBE) form of generalized gradient approximation (GGA) functional in WIEN2k was deployed for the analysis of all these material properties. The trigonally crystallizing monolayer with an indirect band gap of 1.72 eV may be an upright single-layer that suffices distinct applications. ‘No negative’ phonon bands confirm the dynamical stability of the monolayer. The Rb2Te monolayer has large indirect band gap than Rb2S and Rb2Se. It exhibits mechanical stability with positive elastic constants satisfying the Born-Huang criterion for two-dimensional materials. The absorption coefficient spanning largely in the ultra-violet range makes the monolayer a congruous material for UV applications. Also, the thermoelectric figure of merit for p-type Rb2Te single-layer at room temperature is high (0.67) compared to the analogous series of compounds, that makes the monolayer a viable one for thermoelectric flexibility and experimental synthesis. The monolayer has high hole effective mass and D ratio. The obtained results aids in revealing the outstanding properties and excellent stability of the monolayer. Based on these findings the Rb2Te monolayer paves the way for promising applications in the fields of photovoltaics, thermoelectrics and UV-based applications.
Thermal management challenges in lithium-ion batteries: understanding heat generation mechanisms
Authors: Maher Kenza , Boumaiza Ameni , Amin Ruhul
Published: February 2025

This study reveals symmetric heat generation behaviors during charge and discharge cycles in lithium-ion batteries, highlighting an essential aspect of their thermal performance.
Exploring N2 activation using novel Lewis acid/base pairs: computational insight into frustrated Lewis pair reactivity
Authors: Gastearena Xuban , Matxain Jon M. , Ruipérez Fernando
Published: February 2025

Geometrically constrained transition metal-free Lewis acids effectively capture N2 and Lewis bases help activate it through a “push–pull” mechanism. Triptycene-based and phosphine-based FLPs represent the most promising candidates for N2 activation.
Carnosic acid reduces lipid content, enhances gut health, and modulates microbiota composition and metabolism in diet-induced obese mice
Authors: Zhang Jing , Shen Mengzhu , Yin Yue , Chen Yuru , Deng Xianying , Mo Jingyun , Zhou Xiaoling , Lin Juanying , Chen Xinxin , Xie Xinwei , Wu Xian , Chen Xuexiang
Published: February 2025

Improvement of carnosic acid on different aspects and colonic barrier function in high-fat diet-induced obese mice.
Significantly boosting the production of higher alcohols from biomass-derived ethanol utilizing tandem catalysts integrating a NiO-modified Cu-based component with a Mg–Al–Zr mixed metal oxide
Authors: Yuan Liyuan , Fan Guoli , Zheng Lirong , Li Feng
Published: February 2025

A tandem composite catalyst with multiple separated active sites was constructed by integrating NiO-modified Cu component with Mg–Al–Zr mixed metal oxide for high-efficiency production of higher alcohols from ethanol.
Degradation of chemical warfare simulants over CeO2 and Gd-doped CeO2 aerogels: divergent results of DMMP and DFP
Authors: Novak Travis G. , Domenico Janna , Balboa Alex , Gordon Wesley O. , Herzog Austin E. , Le Nam Q. , Glaser Evan R. , DeSario Paul A. , Rolison Debra R.
Published: February 2025

CeO2 and Gd-doped CeO2 aerogels effectively degrade chemical warfare simulants. Gd-doping stabilizes reactive oxygen species on the aerogel surface and improves degradation against DFP, but not DMMP, demonstrating key differences between simulants.
Gigantic enhancement of optoelectrical properties in polythiophene thin films via MoS2 nanosheet-induced aggregation and ordering
Authors: Chauhan Mitu , Singh Anand Kumar , Chaudhary Vivek , Pandey Rajiv Kumar , Singh Arun Kumar
Published: February 2025

Significant enhancement of molecular ordering and charge transport properties is reported by incorporating MoS2 nanosheets in poly(3,3-dialkylquarterthiophene) matrix.
A near-infrared fluorescent probe for imaging cysteine changes in Arabidopsis thaliana
Authors: Yuan Yao , Cao Fuxiang
Published: February 2025

In this work, a robust “turn-on” NIR fluorescent probe Cx-Cys was constructed for cysteine detection and imaging in Arabidopsis thaliana.
Latest developments in the synthesis of metal–organic frameworks and their hybrids for hydrogen storage
Authors: Jimenez-Lopez Laura , Morales Ospino Rafael , de Araujo Leandro Goulart , Celzard Alain , Fierro Vanessa
Published: February 2025

Metal–organic frameworks (MOFs) are promising materials for hydrogen (H2) storage due to their versatile structures, high surface areas and substantial pore volumes.
Enhanced stability and optical performance of CsPbBr3@FAPbBr3 core–shell perovskite nanocrystals
Authors: Tatarinov Danila A. , Ismagilov Azat O. , Koroleva Aleksandra V. , Zhizhin Evgeniy V. , Zheng Weitao , Baranov Alexander V. , Litvin Aleksandr P.
Published: February 2025

A double-shelling strategy with FAPbBr3 and SiO2 shells is proposed to significantly improve the linear and nonlinear optical performance of CsPbBr3 perovskite nanocrystals and ensure their stability under harsh environmental conditions.
Fused-ring electron acceptor molecules with a narrow bandgap for near-infrared broadband ultrafast laser absorption
Authors: Xu Jiabei , Wu Xingzhi , Zhou Wenfa , Zhang Tianwei , Yang Junyi , Jiang Li , Song Yinglin
Published: February 2025

The nonlinear optical properties of fused-ring electron acceptors are enhanced by extending their conjugation length. And IEICO-4F with a narrow bandgap exhibits remarkable laser protection performance in the near-infrared region.
Synergizing PIERS and photocatalysis effects in a photo-responsive Ag/TiO2 nanostructure for an ultrasensitive and renewable PI-PC SERS technique
Authors: Mai Quan-Doan , Thi Hanh Trang Dang , Ngoc Bach Ta , Thi Le Na Vo , Pham Anh-Tuan , Le Anh-Tuan
Published: February 2025

This study introduces an advanced photo-induced-photo-catalytic SERS (PI-PC SERS) technique, achieving exceptional ultrasensitivity while ensuring substrate reusability.
Nanoscale drug formulations for the treatment of Alzheimer's disease progression
Authors: Liu Liqin , He Haini , Du Bin , He Yang
Published: February 2025

Alzheimer's disease (AD) is a devastating neurodegenerative disorder with no effective disease-modifying treatments.
Performance comparison of nano-Al2O3-modified PVDF membranes fabricated via two methods for enhanced dye removal
Authors: Liu Runze , Yang Jing , Zhang Ruifeng , Li Hongji , Mu Ruihua
Published: February 2025

Modifying PVDF membranes with Al2O3 nanoparticles via two methods provided a new idea for removing dyes. It also elucidatend the retention mechanism of the modified membranes when treating different dye solutions.
Optimization of nonthermal plasma (NTP) catalytic CO2 methanation: effect of the excitation waveform, pellet size and residence time
Authors: Chen Shaowei , Chen Yi , Huang Jianguo , Xu Shanshan , Fan Xiaolei , Niu Jiangqi , Chen Huanhao
Published: February 2025

This study demonstrates the advantages of the multi-pulse waveform of minimizing capacitive losses, delivering higher energy per discharge event, which mitigate the effect incurred by changing the pellet size and residence time.
Ion-conducting polymer thin films via chemical vapor deposition polymerization
Authors: Park Kwang-Won , Yu Christina H , Fu Shuaicheng , Yang Rong
Published: February 2025

Ion-conducting polymers (ICPs) are gaining interest in various scientific and technological fields. This review highlights advancements in ICP thin films using chemical vapor deposition (CVD) and addresses challenges of traditional methods.
Direct air capture (DAC): molten carbonate direct transformation of airborne CO2 to durable, useful carbon nanotubes and nano-onions
Authors: Licht Gad , Peltier Ethan , Gee Simon , Licht Stuart
Published: February 2025

The concept and first demonstration of an effective direct air capture molten carbonate chemistry is presented.
Electroless-deposited NiFeP catalyst-coated-membrane cathodes for anion exchange membrane water electrolysis
Authors: Guo Kaiming , Kunimoto Masahiro , Homma Takayuki
Published: February 2025

Electroless deposition enables the in situ growth of NiFeP electrocatalysts on anion exchange membrane, resulting in a binder- and ionomer-free structure that enhances the catalytic activity and durability to hydrogen evolution reaction.
Lattice-trapping synthesis enhances fixation of As(v) in As@zeolite P
Authors: Ma Lu , Li Yu , Wang Qi , Feng Ning , Wang Ruyang , Yang Mei , Ma Qian , Li Yuanyuan , Ma Yulong , Sun Yonggang , Ma Xiaoxia , Ji Wenxin
Published: February 2025

We present a novel As@zeolite P-based fixative derived from coal gasification slag using a lattice confinement strategy. The fixative demonstrated immobilization of arsenic (As(v)) and the reuse of waste. This is an environmentally friendly strategy for both pollution control and waste management.
A design strategy of high-activity swarm mobile nanocatalysts for hydrogenolysis of complex N-benzyl compounds via anchoring–confinement synergy
Authors: Wang Junjie , Ma Yuanyuan , Song Jianwei , Xiao Chuanyou , Huang He , Sun Chenghui , Pang Siping
Published: February 2025

A design strategy aims to promote catalytic efficiency by enhancing the collision probability between active sites and complex reactants or reaction intermediates.
In situ formation of a low-dimensional perovskite structure for efficient single-crystal MAPbI3 solar cells with enhanced ambient stability
Authors: Liu Mingxun , Guo Xinbo , Liu Nianqiao , Jiang Changke , Zhang Jian , Chen Zhaolai , Zhong Yu
Published: February 2025

The in situ formation of a low dimensional PEAI structure on a perovskite crystal surface.
Regulating crystallization in wide-bandgap perovskite with removable additives for an expanded processing window contributes to efficient tandem solar cells
Authors: Xie Guanshui , Li Huan , Fang Jun , Wang Xin , Gan Lin , Huang Nuanshan , Peng Haichen , Lin Xiao , Qiu Longbin
Published: February 2025

A removable additive delays solvent evaporation, extends the processing window, and enables controlled crystallization, producing high-quality wide-bandgap perovskite films and achieving a PCE of 23.55% in perovskite-organic tandem solar cells.
A photo-elutable 8–17 DNAzyme labeling and PCR-free colorimetric quantification strategy for 5-hydroxymethylcytosine in mammalian genomic DNA
Authors: Lai Mingfeng , Lu Shitao , Huang Bao , Nie Yanfeng , Wang Xu , Xiong Jiaying , Yu Zhenning
Published: February 2025

We developed an AuNPs-based colorimetric method to quantify whole-genome 5hmC levels in various mouse tissues. This method uses 8–17 DNAzymes at 5hmC sites to deaggregate AuNPs, eliminating the need for expensive instruments, PCR, and antibodies.
Showcasing physical chemistry research in Australia and New Zealand – a vital nexus of innovation and opportunity
Authors: Masters Sarah L. , Goerigk Lars
Published: February 2025

This collection showcases a selection of outstanding work in physical chemistry, chemical physics and biophysics by authors based in Australia and New Zealand.
Reconfiguring the Helmholtz plane with a trace polar additive for highly reversible zinc anodes
Authors: Lu Yu , Wang Yanxin , Guo Chenyang , Chen Mingyue , Hao Kunyu , Qi Pengcheng , Tang Yiwen
Published: February 2025

A trace of thioacetamide (TAA) added to ZnSO4 solution regulates the inner Helmholtz structure for dendrite-free zinc deposition. In a ZnSO4 electrolyte with 10 mM TAA, the reversibility of zinc is nearly 13 times higher than in pure ZnSO4.
Identifying factors shaping the behavioural intention of Nepalese youths to adopt digital health tools
Authors: Timsina Sujal Mani , Bhattarai Ujjwal
Published: February 2025

The digitalization of healthcare has gained global importance, especially post‐COVID‐19, yet remains a challenge in developing countries due to the slow adoption of digital health tools. This study aims to identify major predictors impacting the behavioural intention of Nepalese youths to adopt digital health tools by utilizing the framework based on the extended unified theory of acceptance and use of technology (UTAUT‐2). The cross‐sectional data from 280 respondents was collected from youths (i.e., aged 16‐40) in the Kathmandu Valley and were analyzed through PLS‐SEM. Most of the respondents were using smartwatches followed by blood pressure monitors and pulse oximeters. The findings revealed hedonic motivation as the strongest predictor of behavioural intention to use digital health tools followed by facilitating conditions, social influence, habit, and performance expectancy. The behavioural intention significantly influenced actual usage behaviour. Additionally, behavioural intention mediated the relationship between the above‐mentioned five constructs and usage behaviour, except for effort expectancy and price value. The study emphasizes the role of major predictors such as facilitating conditions in shaping the intention of youths to adopt digital health tools providing insights for government, hospitals, and developers to understand consumer perceptions and motivations.
Studying baryon acoustic oscillations using photometric redshifts from the DESI Legacy Imaging survey DR9
Authors: Saulder Christoph , Song Yong-Seon , Oh Minji , Zheng Yi , Ross Ashley J. , Zhou Rongpu , Newman Jeffrey A. , Chuang Chia-Hsun , Nicole Aguilar Jessica , Ahlen Steven , Blum Robert , Brooks David , Claybaugh Todd , de la Macorra Axel , Dey Biprateep , Ding Zhejie , Doel Peter , Forero-Romero Jaime E. , Gaztañaga Enrique , Gontcho A Gontcho Satya , Gutierrez Gaston , Juneau Stephanie , Kirkby David , Kisner Theodore , Kremin Anthony , Lambert Andrew , Landriau Martin , Le Guillou Laurent , Levi Michael , Meisner Aaron , Mueller Eva-Maria , Muñoz-Gutiérrez Andrea , Niz Gustavo , Prada Francisco , Rezaie Mehdi , Rossi Graziano , Sanchez Eusebio , Schubnell Michael , Harry Silber Joseph , Sprayberry David , Tarlé Gregory , Valdes Francisco , Alan Weaver Benjamin , Zou Hu
Published: February 2025

The Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Survey DR9 (DR9 hereafter), with its extensive dataset of galaxy locations and photometric redshifts, presents an opportunity to study baryon acoustic oscillations (BAOs) in the region covered by the ongoing spectroscopic survey with DESI. We aim to investigate differences between different parts of the DR9 footprint. Furthermore, we want to measure the BAO scale for luminous red galaxies within them. Our selected redshift range of 0.6 to 0.8 corresponds to the bin in which a tension between DESI Y1 and eBOSS was found. We calculated the anisotropic two-point correlation function in a modified binning scheme to detect the BAOs in DR9 data. We then used template fits based on simulations to measure the BAO scale in the imaging data. Our analysis reveals the expected correlation function shape in most of the footprint areas, showing a BAO scale consistent with Planck 's observations. Aside from identified mask-related data issues in the southern region of the South Galactic Cap, we find a notable variance between the different footprints. We find that this variance is consistent with the difference between the DESI Y1 and eBOSS data, and it supports the argument that that tension is caused by sample variance. Additionally, we also uncovered systematic biases not previously accounted for in photometric BAO studies. We emphasize the necessity of adjusting for the systematic shift in the BAO scale associated with typical photometric redshift uncertainties to ensure accurate measurements.
An accurate and simple asymptotically matched deprojection of the Sérsic law
Authors: Ciotti L. , De Deo L. , Pellegrini S.
Published: February 2025

Context. The Sérsic law reproduces very well the surface brightness profile of early-type galaxies, and therefore it is routinely used in observational and theoretical works. Unfortunately, its deprojection cannot be expressed in terms of elementary functions for generic values of the shape parameter n. Over the years, different families of approximate deprojection formulae have been proposed, generally based on fits of the numerical deprojection over some radial range.

Aims. We searched for a very simple, accurate, and theoretically motivated deprojection formula of the Sérsic law without free parameters, not based on fits of the numerical deprojection, and holding for generic n > 1.

Methods. We found the formula by requiring it to reproduce the analytical expressions for the inner and outer asymptotic expansions of the deprojected Sérsic law of a given n and by matching the two expansions at intermediate radii with the request that the total luminosity coincides with that of the original Sérsic profile of the same n.

Results. The resulting formula is algebraically very simple. By construction, its inner and outer parts are the exact (asymptotic) deprojection of the Sérsic law, and it depends on two coefficients that are analytical functions of the n of immediate evaluation. The accuracy of the formula over the whole radial range is very good and increases for increasing n, with a maximum of relative deviations from the true numerical deprojection of ≃8 10−3 for the de Vaucouleurs profile. In the appendix, the extension of the proposed formula to profiles with n < 1 is also presented and discussed.

Conclusions. The formula we obtained is a simple and useful tool that can be used in the modeling of early-type galaxies, and its ellipsoidal generalization is immediate.
Puzzling Ultra-Diffuse Galaxy Evolution (PUDGE)
Authors: Pavlov Nataša , Mitrašinović Ana
Published: February 2025

The recent discovery of the most extended ultra-diffuse galaxy (UDG), Nube, has raised yet another question about the validity of the cold dark matter (CDM) model. The studies using cosmological and zoom-in simulations, which assume CDM, failed to replicate galaxies with the structural properties of Nube. However, the simulation box or the examined population of UDGs may be too narrow to fully capture the range of effects that can lead to the formation of such extraordinary galaxies. In this work we present a case study of a Nube-like galaxy from TNG100, the most extended simulated UDG examined to date that closely mirrors the structural properties of the observed Nube galaxy. Since its formation, the simulated Nube-like galaxy has already been ultra-diffuse and evolved mainly in isolated regions with occasional interactions. Its last major merger was finalized about 1.336 Gyr ago and left no trace of interaction apart from further extending the stellar size. This evolutionary pathway, featuring a recent merger that expanded an already ultra-diffuse stellar system, is unique and innovative compared to previous studies. We argue that multiple proposed formation mechanisms can operate simultaneously, further expanding the UDGs and making them extreme outliers of the mass-size relation under favorable conditions. Therefore, it is essential to study these simulated extreme outliers, their formation, and, more importantly, their evolution. We also highlight the necessity of carefully analyzing and interpreting the simulated data and better understanding the limitations of a chosen simulation. Thus, if Nube is considered an extreme outlier, its properties are not in tension with the standard cosmological model.
Sensory and nutritional effects of citrus and pineapple enrichment in yogurt production
Authors: Boev Sergey , Trubnikov Vladimir , Grashkov Sergei , Eskov Dmitry
Published: February 2025

This paper explores the potential applications of pineapple and orange in yogurt production, examining their addition in various ratios and their impact on quality indicators. The study analyzed samples of enriched yogurt. Pineapple and orange enrichments were added in different proportions ranging from 2:1 to 3:1, meaning three parts pineapple and one part orange relative to the mass of the produced yogurt. To evaluate the obtained samples, researchers conducted organoleptic and other analyses. The results demonstrated that the addition of these components increased ash content and iron levels compared to the control sample. The highest concentration of the studied element was achieved with the addition of 15% pineapple and 5% orange. Based on the experimental results, it can be concluded that incorporating fruit components into the yogurt recipe increases ash content and, consequently, the elemental composition, as confirmed by the conducted studies. In terms of organoleptic properties, the best sample was the one with fruit components added in a 3:1 ratio (three parts pineapple and one part orange). This ratio proved optimal for enrichment in yogurt production.
Development of technology of obtaining new types of cereals from sorghum grain
Authors: Ergasheva Khusnirabo , Khujakulova Nilufar , Ismatova Shakhnoza , Yuldasheva Shabon , Fattayeva Maftuna
Published: February 2025

As a consequence of the research carried out, the technological properties of sorghum grain of local varieties grown in Bukhara region have been studied, based on which a new product, i.e., flattened cereal from sorghum grain has been obtained. The article covers the research of initial material; obtaining flattened cereals from sorghum; assessment of the consumer properties of gruels obtained from sorghum flour; practical recommendations on the implementation of method for obtaining new food products from sorghum grain. A laboratory installation for grain flattening was developed and assembled. The influence of moisture on the structural and mechanical properties of grain during storage was studied. To determine the safe shelf life of rolled sorghum cereals over a period of six months, changes in physicochemical and microbiological parameters were studied.
AI-driven agribusiness sustainability: Optimizing supply chains for reduced environmental impact
Authors: Amayreh Khalid Thaher
Published: February 2025

The article is devoted to the study of the role of artificial intelligence (AI) in increasing the efficiency of supply chains in agribusiness, which is a topical topic in the context of global challenges and growing requirements for the sustainability of agricultural production. With the development of technologies and the increase in data volumes, the use of AI allows to significantly increase the accuracy of forecasting, improve inventory management, logistics and product quality, which makes the introduction of these technologies in agribusiness necessary. The purpose of the work is to analyze the influence of AI on the optimization of supply chains in agribusiness, to identify the main directions of its application and to estimate potential benefits for the industry. The tasks of the study include the analysis of existing AI implementation methods, the assessment of its influence on the process of logistics and inventory management in agribusiness. Research methods include an analytical literature review, statistical data analysis, and structuring of examples of real implemented AI in the agricultural sector. The main results and recommendations of the research will allow to increase the efficiency of supply chains, reduce costs, improve quality and increase the sustainability of business in the conditions of uncertainty.
Balancing demographic pressures and resource consumption: Educational and scientific approaches to sustainable development
Authors: Zinchenko Viktor , Boichenko Mykhailo , Polishchuk Olena , Samchuk Zoreslav , Yakovleva Olena , Lakusha Nataliia , Chervona Lesya
Published: February 2025

The steady demographic growth observed on the planet Earth over the past two centuries is the result of the settlement of mankind for tens and hundreds of thousands of years across the entire planet. Various researchers assess the prospects of maintaining such growth in different ways, placing such growth in dependence on the development of science and technology, as well as on the quantity and quality of human consumption of the planet’s natural resources. The main scenarios of human development from a demographic point of view are restrained development, anticipatory development, reverse development and the destruction of mankind. Each of these scenarios is based on real trends in the development of the economy and politics, science and culture – as well as on real estimates of the exhaustion of the planet Earth’s resources. Although each of these scenarios cannot be the only correct one, the scenario of the anticipatory development of mankind appears to be dominant.
Enhancing sustainable pavement materials: Assessing modifying additives in bitumen for improved environmental performance
Authors: Alibayeva Arman , Amirbayev Yerik , Mukhambetkaliyev Kairat , Smagulova Mariya , Zhumamuratov Manarbek
Published: February 2025

Bitumen is one of the main components in the construction and repair of highways in Kazakhstan, playing a crucial role in binding mineral components in asphalt concrete mixtures to create durable road surfaces. The country's diverse climate - from extreme heat in southern regions to severe cold in northern regions - places significant demands on the performance characteristics of road materials. To ensure durability, different grades of bitumen are used depending on the climatic zone: for hotter southern regions bitumen grades 70/100 and below are used, and for colder northern regions - 100/130. These differences reduce the risk of bitumen softening at high temperatures and cracking at low temperatures. However, bitumen is subject to aging, which reduces its elasticity, adhesion and resistance to deformation. To address this problem, modifying additives are increasingly being used to improve bitumen properties and extend the service life of asphalt pavements. The aim of the study is to evaluate the effect of modifying additive on bitumen characteristics after artificial aging, using the penetration method for evaluation.
Integrating sustainable development in morphological synthesis and selection of optimal engineering solutions
Authors: Rakov Dmitry
Published: February 2025

The selection of optimal engineering solutions is one of the main tasks in the development of any project. When choosing engineering solutions, you need to consider factors such as project goals and requirements, budget, deadlines, available resources, and the ability to scale and support the selected technologies. The analysis should take into account parameters such as performance, reliability, security, usability, and cost and complexity of implementation. The article discusses the formation of a morphological set of engineering solutions, their analysis, synthesis and subsequent clustering. On the one hand, the multiplicity of solutions must be representative, and on the other hand, limited, since the resources for their modelling are limited. In conclusion, it is concluded that the average estimates increase to 18% when generating 4% of variants and 20% when generating 20% of options. This allows you to limit the number of solutions that can be generated. The use of the approach is seen as part of computer aided innovations and IT technologies. Thus, when applying the proposed approach, it is possible to conduct a comparative analysis of many engineering solutions and choose the one that will be the most effective and convenient for a particular project.
Sustainable urban development: Enhancing living standards through eco-efficient infrastructure and planning
Authors: Puchkov Maksim , Maltseva Irina
Published: February 2025

The "challenges" described in the article represent the most important tasks for modern urban development, so, several areas are identified for finding effective solutions in line with modern strategies for complex development of territories that directly affect the standard and quality of life of the urban population. This work focuses on architectural, urban planning and composition tools of ensuring security, communication with the natural environment, development of the territory and other areas that require adequate solutions. Some practical examples show that in some cases the most effective solution is an architectural and urban planning response that goes into the plane of searching for a unique planning strategy. The article considers general aspects of architectural, urban planning and planning solutions that take into account comfort ratings are similar: security, involvement in global processes in the economy and culture, climate and ecology, quality of the urban environment and infrastructure, education and medicine. This work highlights several complex tasks of modern urban planning that directly affect the standard of living and comfort of the urban population, such as: the formation of a long-term sustainable planning structure and programming of urban development through a diverse typology of urban development, ensuring urban mobility, preserving and developing natural elements, public and educational spaces in the urban environment, urban digital technologies.
Environmental aspects of the use of water-soluble polymers as stabilizers for metal nanoparticles
Authors: Morenko Ivan , Isaeva Irina , Ostaeva Galina
Published: February 2025

The article considers the impact of water-soluble polymers used in the synthesis of nanoparticles on the environment (soil, aquatic ecosystems) and human health. A bibliometric analysis was carried out to identify trends in the development of research on the use of water-soluble polymers as nanoparticle stabilizers in agriculture. Optimal conditions for the chemical reduction of nanoparticles were determined. Copper nanoparticles stabilized by polyvinylpyrrolidone were synthesized for use as agricultural biocides. Electron microscopy and electron spectroscopy showed that the average particle diameter was 6 nm and the stability of the colloidal systems reached 5 weeks. The ecological aspects of this approach were evaluated on the basis of experimental data on the obtained copper nanoparticle-polymer system and recent scientific and technical information. The polymers used in the synthesis (polyvinylpyrrolidone, polyethylene oxide, polyethylene glycol, polyvinyl alcohol, chitosan) were found to be relatively safe for the environment and human health. It was noted that data on the accumulation of water-soluble polymers in soils and aquatic environments require further risk assessment. It has also been suggested that it may be possible to replace traditional stabilizers with more environmentally friendly biodegradable polymers and plant extracts.
Impact of renewable energy transition on aquatic ecosystems
Authors: Baranovskaya Tatyana , Fursov Victor
Published: February 2025

The global transition to renewable energy sources is a critical component of efforts to mitigate climate change and promote sustainable development. However, this shift has significant implications for aquatic ecosystems, which are integral to biodiversity, water quality, and ecosystem services. This paper examines the impact of renewable energy transition on aquatic ecosystems by analyzing various renewable energy technologies, including hydroelectric power, wind energy, solar energy, and bioenergy. Through a comprehensive bibliographic analysis, the study explores both the positive and negative effects of these technologies on aquatic environments. Key findings indicate that while renewable energy sources generally contribute to reducing greenhouse gas emissions and decreasing reliance on fossil fuels, they can also lead to habitat disruption, water quality degradation, and alterations in aquatic biodiversity. For instance, hydroelectric dams can fragment habitats and impede fish migration, while wind turbines may affect marine life through noise pollution and physical collisions. Conversely, solar farms and offshore wind installations offer opportunities for ecosystem restoration and the creation of artificial reefs. The paper also highlights regional case studies from North America, Europe, and Asia to illustrate the diverse impacts and mitigation strategies employed. Recommendations are provided for policymakers and stakeholders to balance renewable energy development with the preservation of aquatic ecosystems, emphasizing the need for integrated planning, environmental assessments, and the implementation of best practices. This study contributes to the ongoing discourse on sustainable energy by elucidating the complex interactions between renewable energy infrastructure and aquatic environments, thereby informing future research and policy formulation.
Resource-efficient structural analysis: A volumetric finite element approach for eco-friendly engineering
Authors: Tyukalov Yu. Ya.
Published: February 2025

The volumetric triangular prism finite element based on piecewise constant approximations of stresses is presented. The stress fields are continuous along finite element boundaries and discontinuous inside ones. The solution of the volume theory elasticity problem was obtained on the basis of the additional energy functional and the possible displacements principle. The proposed volumetric finite element based on piecewise constant stress approximations allows obtaining more accurate stress and displacement values compared to the finite element method based on displacement approximation. As tests, the circular plates calculations were performed. Such tasks were chosen because there are analytical solutions for them. the results of round plate calculations show that the proposed volumetric finite element based on piecewise constant stress approximations allows obtaining more accurate stress and displacement values compared to the finite element method based on displacement approximation.
Changes in plant CSR strategies under new anthropogenic transformations
Authors: Safonov Andrei
Published: February 2025

The indicator plant species (Diplotaxis muralis (L.) DC., Senecio vulgaris L., Tripleurospermum inodorum (L.) Sch. Bip., Echium vulgare L., Atriplex mircantha C.A.Mey., Ceratodon purpureus (Hedw.) Brid, Bryum caespiticium Hedw., and others) were analyzed on the territory of Donbass, which under conditions of geochemical contrast and physical transformation develop different strategies for their survival and population preservation. The methods of calculating CSR strategies by the global calculator for biomes (vegetative method) and approaches in assessing reproductive potential and generative success were used. It was found that indicator species significantly rearrange themselves to preserve their own life and the population as a whole when ecological conditions of growth change. It is proved that the way of taking into account atypical plant morphogenesis also has a different diagnostic vector from typical C-strategy to forced R- (35 %) or S-strategies (48 %) of survival at the level of model cenopopulations Cichorium intybus L., Capsella bursa-pastoris (L.) Medik., Berteroa incana (L.) DC., Tanacetum vulgare L., Reseda lutea L., Nigella arvensis L., Centaurea diffusa Lam.
Ecological condition and economic use of springs of the Chuvash Republic
Authors: Nikonorova Inna , Ilyin Vladimir , Ilyina Anastasia , Nikitin Andrey
Published: February 2025

The object of the study is the hydrological and ecological characteristics of the springs of the Chuvash Republic. The springs of the region are of great economic importance. They are used for household and drinking water supply, for recreation and protection of unique landscapes. Intensive development and lack of improvement measures have led to the fact that the water quality in the springs is decreasing. The landscapes of the surrounding territories are oppressed. The study of the state of the springs is carried out by expeditions. During the visits, the ecological state of the springs is described, water samples are taken for physico-chemical analysis. The recreational significance of the sources for the development of a set of measures to optimize economic development is also described. Most of the springs of the Chuvash Republic belong to low-flow freshwater sources with medium water hardness. When moving from north to south, an increase in hardness and mineralization is observed. The flow velocity is the highest for alluvial deposits. The sources of the region belong to the following types: household and drinking, cultural and recreational and protected. All the studied springs perform an economic and drinking role. Sources related to protected sites – specially protected areas - have the greatest recreational value (very high level). The cultural and recreational role is to create fonts, conduct excursions to the springs. 75% of the springs are used daily. There are seasonally used and abandoned springs. To develop a program for optimizing the economic use of springs, it is proposed to compile a Register of springs of the Chuvash Republic. It will include the physico-chemical and landscape characteristics of the springs. Having such a database will allow you to determine the order and ways to solve problems related to the use of springs.
CO2 laser applications for sustainable healthcare: Reducing environmental impact in dental enamel cutting
Authors: Hameed Sarah , Abdul-Wahid Sahib
Published: February 2025

The research investigates the characteristics of polymers using density functional theory with the hybrid function technique and the basis set for quantum chemical computations. Polymers with a superior ionization potential and electron affinity, signifying enhanced stability in electron retention, polymers possessing a stronger electronic chemical potential, rendering it more chemically reactive, were detected using the above techniques. Spectral research, which underscored the adhesive qualities, was carried out. Furthermore, the polymers, which exhibit superior ultraviolet absorption in the studies region, hence augmenting their appropriateness for ultraviolet curable applications, were identified and thoroughly investigated.
Eco-oriented urban planning: Integrating sustainable technological component in suburban zone regulation for the largest cities
Authors: Nadymov Ivan , Fedotov Grigory
Published: February 2025

The research considers the potential of the technological component of urban planning regulation of the suburban zone of the largest city (it is a city with a population of more than 1 million people). The suburban zone is a special territory inextricably linked with the core city in the agglomeration settlement system. The purpose of the study is to develop the concept of technological urban planning regulation of the suburban zone of the largest city. The study uses a system approach and software solution to show an example of the implementation of the study provisions. To achieve the stated goal, the socio-cultural prerequisites and the necessary theoretical basis of the research are reviewed, the theoretical concept of the research is formulated, and the algorithm of building the system of urban planning regulation of the suburban zone and its development management is demonstrated. The findings of the study show that the current possibilities of technological urban planning regulation of the suburban zone of the largest city are revealed in the potential of the territorial development management system with the help of software data processing methods, and this corresponds to the current demand for the creation of strong digital urban planning platforms.
Technical project of a digital platform for social monitoring of water bodies
Authors: Beresneva Yana , Krasnikova Irina
Published: February 2025

The article presents a project for creating a specialized software product designed to collect, process, and store data on the condition of water bodies. A distinctive feature of the project is the involvement of citizens in data collection, even if their professional duties are unrelated to environmental issues or other processes specific to the water sector. By applying methods of system analysis, data modeling, and object-oriented design, the functionality of the software product was developed, its architectural structure established, and both a data model and user interface layout created. Implementing the project enables the use of smart monitoring technology through integrating artificial intelligence for processing heterogeneous data. The developed functional capabilities facilitate the operational management of water bodies' conditions, positively influencing the socio-economic development of the region and improving the ecological state of ecosystems.
Eco-sensitive site assessment: Integrating neural networks for environmentally conscious pre-project planning
Authors: Zatsepina Aleksandra , Bardina Galina , Shindina Polina
Published: February 2025

The use of neural networks in the architectural design pre-phase is becoming increasingly prevalent among designers. This article presents a method of textual and graphical analysis of construction sites using neural networks. On the example of two projects, which won the architectural competition, the following are considered: qualitative characteristics analysis of the territory using Autodesk Forma software, cultural context analysis using ChatGPT, image generation using MidJourney and 3D-models generation using the neural network Meshy.ai. In regard to ChatGPT, the "risks" method is presented as a means of achieving optimal results. The possibility of factual errors in ChatGPT text generations is indicated.
Green-oriented automation: AI-driven engineering control technologies for resource-efficient solutions
Authors: Mamikov Satmyrza , Beissenova Gulbakhram , Baimakhanova Aigerim , Tursynbayev Abay , Jantayeva Sholpan , Kerimbekov Mukhtar , Toktarova Aigerim
Published: February 2025

This article is not only about the speed of digital life in human history, also about its second aspect, that is, the existence of Internet users who use online content for the purpose of insulting or degrading, as well as collecting comments written on social networks with obscene words. It is said that simple and automated actions can be implemented using machine learning. Today, the prevalence of negative comments on online content further exacerbates the problem. Cyberbullying is known to be one of the threats posed by online content, which, in turn, puts online users in an emotional state and causes certain psychological damage. We are collecting a database of obscene comments posted on social networks and used by the media in Kazakhstan. Analyzing complaints received from many social networks, we noticed that the number of publications with offensive, that is, derogatory comments in online content is increasing every day. The results of our research using machine learning methods will help not only to study the roots of abusive language posted on social networks, but also to distinguish the types of offensive comments and obtain automated data sets.
Eco-sustainability analytics: Applying stochastic modeling in environmental data for resource optimization
Authors: Svetunkov S. G.
Published: February 2025

In sustainable development modeling, the systemic interconnection between the economy, ecology, and social processes is considered. Simple autoregressive AR models, which are widely used in the practice of modeling and forecasting various indicators of sustainable development, have a significant drawback: the assumption that the modeled process is subject only to random influences and is not affected by other factors. More advanced autoregressive distributed lag (ADL) models take into account not only random influences but also other factors when modeling and forecasting complex dynamic processes. However, due to their complexity, they are less common in practice than autoregressive models. Vector autoregressions (VAR) build on the ideas of ADL models for the case of modeling a vector of interconnected indicators. Yet, they are even less frequently used in practice, both because VAR models are more complex and because, under certain conditions, they become high-dimensional models that even many highly qualified scientists are unable to construct. This report presents a simple approach to reducing the dimensionality of the VAR modeling task using complex variables.
Equipping diapers with sensor technologies
Authors: Lange Katherine De
Published: February 2025

Smart diapers help caretakers monitor wetness levels and biomarker changes on the diaper surface, reducing the burden of scheduled checks and facilitating early disease detection