bluuebunny/crossref_metadata_2025 huggingface dataset:
Technology and engineering test of filling goaf with coal gangue slurry
Authors: Xie Shengrong , Pan Hao , Gu Wenzhe , Zhu Lei , Yue Dong , Chen Dongdong , Song Tianqi , Jiang Zaisheng
Published: November 2023

Based on the greening and low interference disposal requirements of coal gangue in high-yield and high-efficiency mines in Inner Mongolia and Shaanxi, and by integrating the existing theories and technologies such as underground filling technology of coal gangue, mine yellow mud grouting technology, and the evolution law of mining overburden fractures, a technology of filling goaf with coal gangue slurry for green disposal of coal gangue is proposed. The principle and technical framework of the technology of filling goaf with coal gangue slurry are clarified. This paper expounds on the technological process of technology of filling goaf with coal gangue slurry, establishes three types of slurry filling systems, such as centralized ground layout, ground and underground coordinated layout, and centralized underground layout, and constructs three slurry filling methods, including low-level grouting, adjacent level grouting, and high-level grouting, forming seven kinds of technology models of filling goaf with coal gangue slurry, including ground centralized pulping + high-level grouting, ground centralized pulping + adjacent grouting, ground centralized pulping + low level grouting, ground and underground coordinated pulping + adjacent grouting, ground and underground coordinated pulping + low level grouting, underground centralized pulping + adjacent grouting, and underground centralized pulping + low level grouting, and gives the selection process of technology models of filling goaf with coal gangue slurry. Based on the different conditions and requirements of Haidaze Coal Mine and Huangling No. 2 Coal Mine, engineering tests were carried out on two different technology modes, namely, ground and underground coordinated pulping + low level grouting and ground and underground coordinated pulping + adjacent grouting, based on simulation tests of low level grouting and adjacent grouting. The tests prove the feasibility of filling goaf with coal gangue slurry and explore the way for the theoretical research of the technology of filling goaf with coal gangue slurry and greening and low interference disposal of coal gangue.
Multinomial machine learning identifies independent biomarkers by integrated metabolic analysis of acute coronary syndrome
Authors: Fu Meijiao , He Ruhua , Zhang Zhihan , Ma Fuqing , Shen Libo , Zhang Yu , Duan Mingyu , Zhang Yameng , Wang Yifan , Zhu Li , He Jun
Published: November 2023

A multi-class classification model for acute coronary syndrome (ACS) remains to be constructed based on multi-fluid metabolomics. Major confounders may exert spurious effects on the relationship between metabolism and ACS. The study aims to identify an independent biomarker panel for the multiclassification of HC, UA, and AMI by integrating serum and urinary metabolomics. We performed a liquid chromatography-tandem mass spectrometry (LC–MS/MS)-based metabolomics study on 300 serum and urine samples from 44 patients with unstable angina (UA), 77 with acute myocardial infarction (AMI), and 29 healthy controls (HC). Multinomial machine learning approaches, including multinomial adaptive least absolute shrinkage and selection operator (LASSO) regression and random forest (RF), and assessment of the confounders were applied to integrate a multi-class classification biomarker panel for HC, UA and AMI. Different metabolic landscapes were portrayed during the transition from HC to UA and then to AMI. Glycerophospholipid metabolism and arginine biosynthesis were predominant during the progression from HC to UA and then to AMI. The multiclass metabolic diagnostic model (MDM) dependent on ACS, including 2-ketobutyric acid, LysoPC(18:2(9Z,12Z)), argininosuccinic acid, and cyclic GMP, demarcated HC, UA, and AMI, providing a C-index of 0.84 (HC vs. UA), 0.98 (HC vs. AMI), and 0.89 (UA vs. AMI). The diagnostic value of MDM largely derives from the contribution of 2-ketobutyric acid, and LysoPC(18:2(9Z,12Z)) in serum. Higher 2-ketobutyric acid and cyclic GMP levels were positively correlated with ACS risk and atherosclerosis plaque burden, while LysoPC(18:2(9Z,12Z)) and argininosuccinic acid showed the reverse relationship. An independent multiclass biomarker panel for HC, UA, and AMI was constructed using the multinomial machine learning methods based on serum and urinary metabolite signatures.
Predicting intratumoral fluid pressure and liposome accumulation using physics informed deep learning
Authors: Meaney Cameron , Stapleton Shawn , Kohandel Mohammad
Published: November 2023

Liposome-based anticancer agents take advantage of the increased vascular permeability and transvascular pressure gradients for selective accumulation in tumors, a phenomenon known as the enhanced permeability and retention(EPR) effect. The EPR effect has motivated the clinical use of nano-therapeutics, with mixed results on treatment outcome. High interstitial fluid pressure (IFP) has been shown to limit liposome drug delivery to central tumour regions. Furthermore, high IFP is an independent prognostic biomarker for treatment efficacy in radiation therapy and chemotherapy for some solid cancers. Therefore, accurately measuring spatial liposome accumulation and IFP distribution within a solid tumour is crucial for optimal treatment planning. In this paper, we develop a model capable of predicting voxel-by-voxel intratumoral liposome accumulation and IFP using pre and post administration imaging. Our approach is based on physics informed machine learning, a novel technique combining machine learning and partial differential equations. through application to a set of mouse data and a set of synthetically-generated tumours, we show that our approach accurately predicts the spatial liposome accumulation and IFP for an individual tumour while relying on minimal information. This is an important result with applications for forecasting tumour progression and designing treatment.
Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence
Authors: Fanizzi Annarita , Fadda Federico , Comes Maria Colomba , Bove Samantha , Catino Annamaria , Di Benedetto Erika , Milella Angelo , Montrone Michele , Nardone Annalisa , Soranno Clara , Rizzo Alessandro , Guven Deniz Can , Galetta Domenico , Massafra Raffaella
Published: November 2023

Non-Small cell lung cancer (NSCLC) is one of the most dangerous cancers, with 85% of all new lung cancer diagnoses and a 30–55% of recurrence rate after surgery. Thus, an accurate prediction of recurrence risk in NSCLC patients during diagnosis could be essential to drive targeted therapies preventing either overtreatment or undertreatment of cancer patients. The radiomic analysis of CT images has already shown great potential in solving this task; specifically, Convolutional Neural Networks (CNNs) have already been proposed providing good performances. Recently, Vision Transformers (ViTs) have been introduced, reaching comparable and even better performances than traditional CNNs in image classification. The aim of the proposed paper was to compare the performances of different state-of-the-art deep learning algorithms to predict cancer recurrence in NSCLC patients. In this work, using a public database of 144 patients, we implemented a transfer learning approach, involving different Transformers architectures like pre-trained ViTs, pre-trained Pyramid Vision Transformers, and pre-trained Swin Transformers to predict the recurrence of NSCLC patients from CT images, comparing their performances with state-of-the-art CNNs. Although, the best performances in this study are reached via CNNs with AUC, Accuracy, Sensitivity, Specificity, and Precision equal to 0.91, 0.89, 0.85, 0.90, and 0.78, respectively, Transformer architectures reach comparable ones with AUC, Accuracy, Sensitivity, Specificity, and Precision equal to 0.90, 0.86, 0.81, 0.89, and 0.75, respectively. Based on our preliminary experimental results, it appears that Transformers architectures do not add improvements in terms of predictive performance to the addressed problem.
Negative mood state in Kermanshah population during COVID-19 quarantine linked to low physical activity levels: a cross-sectional online survey study
Authors: Azizi Mohammad , Aghababa Alireza , Hoseini Rastegar , Rohani Hadi , Nabilpour Maghsoud , Moradi Fardin
Published: November 2023

One of the most significant consequences of the coronavirus disease (COVID-19) pandemic is the anxiety and stress it causes among the general population, which can be reduced by engaging in regular physical activity. The aim of this study was to estimate the levels of physical activity and mood state during the COVID-19 quarantine among the Kermanshah population. In this cross-sectional study, a total of 2471 subjects (1256 males and 1215 females) were selected in the population of Kermanshah in the west of Iran, using the convenience sampling method. Physical activity levels were assessed using the physical activity (PA) questionnaire short form (IPAQ-SF), and mood state was measured by the abbreviated form of the Iranian version of the standard POMS questionnaire (Bill Morgan 1979). Participants completed the online questionnaire between March 28th and May 20th, 2020. Descriptive statistics (mean, standard deviation, and percentage), and deductive (Chi-square and Spearman's correlation) were used for data analysis. our study found that the majority of participants reported decreased PA levels during the quarantine period. Specifically, 71.7% reported a decrease in moderate-intensity physical activity, 80.5% reported a decrease in high-intensity PA, and 71.3% reported a decrease in the total volume of PA. The results showed that there was a significant difference between the number of sessions (P=0.001), intensity (P=0.001), and duration of exercise (P=0.001) before and during the coronavirus. There was a significant positive relationship between low (r=0.93; P=0.001) and high (r=0.673; P=0.034) levels of PA and negative mood state. Additionally, there was a positive relationship between moderate PA level (r=0.82; P=0.001) and a positive mood states. The study suggests that the current quarantine has negatively affected the mood states of the participants. Overall, the study recommends regular PA to prevent COVID-19 while adhering to health and safety protocols.
Disrupted propionate metabolism evokes transcriptional changes in the heart by increasing histone acetylation and propionylation
Authors: Park Kyung Chan , Crump Nicholas T. , Louwman Niamh , Krywawych Steve , Cheong Yuen Jian , Vendrell Iolanda , Gill Eleanor K. , Gunadasa-Rohling Mala , Ford Kerrie L. , Hauton David , Fournier Marjorie , Pires Elisabete , Watson Lydia , Roseman Gerald , Holder James , Koschinski Andreas , Carnicer Ricardo , Curtis M. Kate , Zaccolo Manuela , Hulikova Alzbeta , Fischer Roman , Kramer Holger B. , McCullagh James S. O. , Trefely Sophie , Milne Thomas A. , Swietach Pawel
Published: November 2023

Propiogenic substrates and gut bacteria produce propionate, a post-translational protein modifier. In this study, we used a mouse model of propionic acidaemia (PA) to study how disturbances to propionate metabolism result in histone modifications and changes to gene expression that affect cardiac function. Plasma propionate surrogates were raised in PA mice, but female hearts manifested more profound changes in acyl-CoAs, histone propionylation and acetylation, and transcription. These resulted in moderate diastolic dysfunction with raised diastolic Ca2+, expanded end-systolic ventricular volume and reduced stroke volume. Propionate was traced to histone H3 propionylation and caused increased acetylation genome-wide, including at promoters of Pde9a and Mme, genes related to contractile dysfunction through downscaled cGMP signaling. The less severe phenotype in male hearts correlated with β-alanine buildup. Raising β-alanine in cultured myocytes treated with propionate reduced propionyl-CoA levels, indicating a mechanistic relationship. Thus, we linked perturbed propionate metabolism to epigenetic changes that impact cardiac function.
An innovative in situ AFM system for a soft X-ray spectromicroscopy synchrotron beamline
Authors: Hafner Aljoša , Costa Luca , Kourousias George , Bonanni Valentina , Žižić Milan , Stolfa Andrea , Bazi Benjamin , Vincze Laszlo , Gianoncelli Alessandra
Published: November 2023

The development of an in situ combination of AFM and soft X-ray μXRF in a single instrument, with AFM integration accomplished without substantial original set-up alteration.
Pillar[5]arene-segregated ion pairs for enhanced cycloaddition of epoxides with CO2
Authors: Zhou Yidan , Liu Zejiang , Yang Zhiyao , Zheng Yuexuan , Yang Maoxia , Feng Wen , Li Xiaowei , Yuan Lihua
Published: November 2023

A supramolecular catalytic approach that utilizes ion pair segregation and CO2 fixation is presented for efficient synthesis of cyclic carbonates under metal- and solvent-free conditions.
Accessing Ni(0) to Ni(IV) via nickel–carbon–phosphorus bond reorganization
Authors: Lin Lirong , Tresp David S. , Spasyuk Denis M. , Lalancette Roger A. , Prokopchuk Demyan E.
Published: November 2023

A pincer-supported nickel complex undergoes redox-controlled aryl insertion and elimination, triggering reversible Ni–P–C bond cleavage.
Photocatalytic C(sp3)–H thiolation by a double SH2 strategy using thiosulfonates
Authors: Taniguchi Nobukazu , Hyodo Mamoru , Pan Lin-Wei , Ryu Ilhyong
Published: November 2023

Site-selective thiolation of C(sp3)–H bonds was achieved by a double SH2 strategy, for which thiosulfonates were used as a thiolating reagent and decatungstate anion as a photocatalyst.
Ab initio study of the topological itinerant transport properties observed between excited edge states in a 2D compound with the Mn15B16Ni composition
Authors: Xu Wuyue , Yan Zhengxin , Xiong Kezhao , Kong Juntao , Song Wei , Li Dongxin , Cheng Qian , Zhao Zehua , Liang Xingkun
Published: November 2023

Analyse small polaron itinerant conductivity by the Fermi surfaces (FS) and spin texture will give insight on the AHC and transport characteristics.
Fullerenes containing water molecules: a study of reactive molecular dynamics simulations
Authors: Foroutan Masumeh , Boudaghi Ahmad , Alibalazadeh Mahtab
Published: November 2023

The dipole moment of a water molecule and its direction in the H2O@C60 complex on the gold surface via ReaxFF MD simulations.
Spatio-temporal dynamics of a microsecond pulsed Grimm-type glow discharge
Authors: Krstić Ivan B. , Obradović Bratislav M. , Kuraica Milorad M.
Published: November 2023

Spatio-temporal dynamics of a PGD, in Ar6.0 at 6 mbar for some of Ar I, Ar II, Cu I, Cu II lines. Analysis of a high current peak during ignition of discharge, excitation and deexcitation processes, development of electron excitation temperature of Ar.
Sensitivity improvement of laser-induced breakdown spectroscopy to detect heavy metals in water by Tesla coil discharge
Authors: Wang Qiuyun , Chen Anmin , Gao Xun
Published: November 2023

Tesla coil discharge combined with LIBS was used to enhance the emission of Cr(i) and Pb(i), and improve the detection sensitivity of heavy metals in water.
In vivo stability of 211At-radiopharmaceuticals: on the impact of halogen bond formation
Authors: Yssartier Thibault , Liu Lu , Pardoue Sylvain , Le Questel Jean-Yves , Guérard François , Montavon Gilles , Galland Nicolas
Published: November 2023

Astatine's ability to form halogen bond interactions with iodothyronine deiodinases regulates the in vivo stability of astatoaryl prosthetic groups.
Heterogeneous nucleation and growth of MOF crystals on polymer substrate to fabricate chitosan/ZIF-8 hydrogels for efficient capture of CO2
Authors: Li Chao , Guo Fengchuan , Li Zongxin , He Naipu , Li Wen , Zhao Xuerui
Published: November 2023

ZIF-8 crystals with tunable morphology were grown on chitosan hydrogel networks to fabricate chitosan/ZIF-8 hydrogel for use in efficient capture of CO2.
Nanoengineered β-MnO2/rGO nanobead-based bioconjugate interfaces for the electrochemical detection of dopamine for the potential to manage neurological diseases and depression
Authors: Verma Rahul , Singh Kshitij RB , Verma Ranjana , Singh Ravindra Pratap , Singh Jay
Published: November 2023

In this study, we successfully developed a highly effective nanobead (nb) morphology-based β-MnO2/rGO nanocomposite via low-temperature hydrothermal synthesis.
Enhanced oxidative degradation of tetracycline by visible light-promoted g-C3N4 modified Cu3(OH)4SO4/Cu7S4 composites under an air atmosphere
Authors: Wang Yan , Li Haoran , Chen Daqing , Ge Danhua , Chen Xiaojun
Published: November 2023

A CuSx/g-C3N4 (CSG) heterojunction was prepared as an efficient oxygen activator containing sulfur vacancies (SVs), which demonstrated excellent removal performance against tetracycline under an air atmosphere.
Manufacture of complex pattern flexible copper microcircuits based on silver seeds through chemical growth welding
Authors: Cao Zhi-Yuan , Chen Lei , Song Le-Le , Weng Ding , Ma Yuan , Yu Bo-Wen , Li Xuan , Shang Xing-Fu , Wang Jia-Dao
Published: November 2023

The complex patterns of flexible copper microcircuits were fabricated through chemical growth welding of silver seeds at a low temperature, exhibiting good conductivity, flexibility and fatigue durability.
[2.2]Paracyclophane-based coumarins: effective organo-photocatalysts for light-induced desulfonylation processes
Authors: Brom Jules , Maruani Antoine , Turcaud Serge , Lajnef Sonia , Peyrot Fabienne , Micouin Laurent , Benedetti Erica
Published: November 2023

An unprecedented photocatalytic activity of coumarins derived from [2.2]paracyclophane is disclosed, which allows the reductive photocleavage of various sulfonamides under mild conditions.
Donor–acceptor-modified UiO-67-type metal–organic frameworks for the enhanced photodegradation of tetracycline under visible light
Authors: Xu Jinqiang , Zhou Ting , Bi Ye , Guo Huadong , Su Yanan , Wang Lishan , Shao Mingxue , Wang Yan , Guo Xianmin
Published: November 2023

A pyrene–benzothiadiazole photosensitizer-based UiO-67-type metal–organic framework was fabricated for the enhanced visible-light-driven photodegradation of tetracycline.
Magnetic exchange, anisotropy and excitonic fluctuations in a [NiII7] Anderson wheel
Authors: Payne Emily H. , Wilson Lucinda R. B. , Singh Mukesh K. , Nichol Gary S. , Stewart J. R. , Garcia-Sakai V. , Ewings R. A. , Lane Harry , Schnack Jürgen , Stock Chris , Brechin Euan K.
Published: November 2023

Susceptibility and magnetisation measurements, magnetic neutron spectroscopy and first principles calculations reveal the presence of competing ferro- and antiferromagnetic exchange interactions and both easy plane and easy axis anisotropy in a [Ni7] Anderson wheel.
Visible-light-driven selective difluoroalkylation of α-CF3 alkenes to access CF2-containing gem-difluoroalkenes and trifluoromethylalkanes
Authors: Lei Panpan , Chen Bingran , Zhang Tonghui , Chen Qinlin , Xuan Liangming , Wang Haifeng , Yan Qiongjiao , Wang Wei , Zeng Jie , Chen Fener
Published: November 2023

A visible-light-mediated selective difluoroalkylation of α-trifluoromethyl alkenes with difluoroalkylating reagents was developed. This protocol allowed the formation of gem-difluoroalkene difluoroacetates and trifluoromethylated difluoroacetamides.
Photocatalytic formation of P–S bonds via CdSeS/CdZnS quantum dots under visible light irradiation
Authors: Liu Xiao-Rui , Lei Zi-Jun , Zhang Yue-Yue , Lu Hui-Ling , Zhao Fu-Gang , Liu Xunshan , Zhou Jian-Hai , Shen Yong-Miao , Peng Xiaogang
Published: November 2023

The QD catalyst is stable and easily recycled with a high TON (1 × 106). The reaction conditions were mild with wide substrate compatibility.
Microfluidic localized hydrogel polymerization enables simultaneous recording of neural activity and behavior in C. elegans
Authors: Lee Hyun Jee , Vallier Julia , Lu Hang
Published: November 2023

A new microfluidic tool, using hydrogel photopolymerization, was developed to selectively immobilize the head region of C. elegans for simultaneous recording of its neuronal activity and tail movement.
Geometry-structure models for liquid crystal interfaces, drops and membranes: wrinkling, shape selection and dissipative shape evolution
Authors: Wang Ziheng , Servio Phillip , Rey Alejandro D.
Published: November 2023

We review our recent contributions to anisotropic soft matter models for liquid crystal interfaces, drops and membranes, emphasizing the theory and simulation literature.
Advances in the modulation engineering of ferroelectrics and multiferroics with non-chemical agents and factors: a review
Authors: Deng Xinqiu , Wu Yuying , Gao Zhangran , Zhou Gang
Published: November 2023

This review summarizes the methods, including the use of force/pressure/stress, negative pressure, and light illumination, to modulate the properties of ferroelectrics and multiferroics.
Effect of regulating the interfacial structure of multiple non-covalent bonding on improving thermal management capability
Authors: Li Xu , Wu Bin , Lv Ying , Xia Ru , Qian Jiasheng
Published: November 2023

The ionic liquid screened by DFT constructs an interface structure containing non-covalent bonding between the layers of BNNSs, which alleviates the interfacial thermal resistance.
CdZnTe thin films as proficient absorber layer candidates in solar cell devices: a review
Authors: Sharma Ritika , Chuhadiya Sakshi , Kamlesh  , Himanshu  , Dhaka M. S.
Published: November 2023

The CdZnTe is an efficient absorber to both single junction and tandem devices. This review presents an overview on associated development routes, characterization tools, developed devices and further recommendations for improving the performance.
Mutual inductance calculation for rectangular and circular coils with parallel axes
Authors: Yu Dongze , Chen Baichao , Luo Yao , Zhou Xinglong , Yu Yue , Yang Xinyi , Xiang Yike
Published: November 2023

Simple and practical methods have been provided for the mutual inductance between rectangular and circular coils with parallel axes. The 2D Integral solution is given for the coils without the axial overlap. To improve the efficacy of the proposed approach for the partial or full axial overlap, the series solution derived by the truncated region eigenfunction expansion (TREE) is provided. Both integral and TREE expressions show very high accuracy through comparison with the finite element method simulation and experiment results. Numerical comparisons reveal that the TREE solution is the most efficient while keeping sufficient accuracy, and it is also applicable to all sorts of coil positions.
Optimal locating and sizing of charging stations for large‐scale areas based on GIS data and grid partitioning
Authors: Prakobkaew Pokpong , Sirisumrannukul Somporn
Published: November 2023

This research proposes an optimisation model for identifying the optimal locations and sizes of public charging stations for large‐scale areas based on geographic information system (GIS) data and grid partitioning. A grid partitioning technique is utilised to generate subareas and investigate the demand for electric vehicle (EV) chargers calculated based on the number of EVs in each subarea. The optimal locations are formulated as a maximum covering location problem and solved by integer programming to ensure that all vehicle access subareas, according to the GIS data, are covered by charging stations. The sizes of charging stations are formulated as a knapsack problem and solved by the EV‐charge point ratio to guarantee each subarea has the appropriate number of chargers. The Voronoi diagram is integrated to estimate vehicle density and improve visualisation. The model is extended to include potential power loss reduction by adjusting the distribution of chargers in relation to the proximity to electrical substations. The developed methodology has been implemented by the whole country area of Thailand, which covers an area of approximately 510,000 km2. The study results are represented in a map blueprint that is very useful in strategic planning to support the so‐called EV30@30 government policy's ambitious national target of 2,050,000 units of EVs in 2030.
Triple boost switched capacitor multilevel inverter (TB‐SCMLI) with reduced components and self‐voltage balance
Authors: Hussan Md. Reyaz , Al‐Hitmi Mohammed A. , Siddique Marif Daula , Islam Shirazul , Iqbal Atif
Published: November 2023

Multi‐level inverter (MLIs) designs with switched‐capacitor (SC) are on the rise due to their applicability in sustainable energy systems and high voltage applications. In this light, this paper presents a compact triple‐boost switched‐capacitor multilevel inverter (TB‐SCMLI) topology with fewer switches and self‐voltage balancing capacitors. Large spikes appear in the source current and charging currents of switched‐capacitors as a result of the charging and discharging actions of the switched capacitors. In order to suppress the spikes in the source and charging currents of switched‐capacitors, the proposed converter incorporates a soft switching circuit. The soft charging circuit consists of an inductor and a diode in the charging path of the proposed converter to ensure soft charging of the switched‐capacitors. By inserting a small value of inductance in the soft charging circuit, the proposed converter can significantly suppress source current spikes. The proposed TB‐SCMLI is able to provide seven levels of output voltage by balancing the voltage of two capacitors with the given control logic. The various SCMLIs are evaluated to determine the contribution of the suggested TB‐SCMLI topology's merits and downsides. To validate the performance of the proposed TB‐SCMLI, comprehensive experimental findings under various laboratory test settings have been given.
Non-surgical treatments for gallstone disease
Authors: Enaldieva Roza , Dzhikaeva Zarina , Ayskhanova Ekaterina
Published: November 2023

The steady increase in the incidence of cholelithiasis and its complications, called the slow epidemic of the XXI century, the high frequency of deaths is due to the severity of this disease, the complexity, multicomponent and multi-stage surgical treatment with high economic costs. The incidence of cholelithiasis in the Russian Federation is quite high, and there is a tendency to a progressive increase in the number of patients with cholelithiasis. VS Mayat et al. (1978) call cholelithiasis the second problem in gastroenterology (after peptic ulcer). However, it can be assumed that if the incidence of gallstone disease continues to increase at the same rate as at present, then cholelithiasis will soon become the number one problem.
Potentiometric sensor system based on modified screen-printed electrodes for determining antioxidant activity
Authors: Tarasov Aleksey , Stozhko Natalia , Bukharinova Maria
Published: November 2023

A potentiometric sensor system (PSS) was developed to assess antioxidant activity (AOA) using the potassium hexacyanoferrates ([Fe(CN)6]3–/4–) mediator system. The screen-printed indicator electrode was made of carbon ink modified with multi-walled carbon nanotubes (MWCNTs). The screen-printed silver electrode was potentiostatically modified with a silver chloride/ferricyanide precipitate and served as a reference electrode. The resulting PSS based on modified screen-printed electrodes was tested in the analysis of antioxidants and beverages. Beverage analysis results obtained using PSS and the Folin-Ciocalteu spectrophotometric method have a high positive correlation (r = 0.97, p = 0.002). The proposed PSS can be recommended for the analysis of pharmaceutical, cosmetic and clinical samples.
Effect of effluent on spring barley yield and soil microbiological activity indicators
Authors: Timakova Roza , Lybenko Elena , Khlopov Andrey
Published: November 2023

The use of organic fertilizers is an integral part of the transition to biologization of agricultural production. The chemical active ingredients of modern pesticides can have an impact not only on cultivated plants, but also on the environment. They accumulate in the soil, water, and are absorbed by wild plants, which leads to deterioration of human and animal health. The use of the biogas plant effluent makes it possible to increase the share of biological fertilizers in the technology of spring grain cultivation. At the same time, the yield of spring barley increases, and the quantitative composition of soil microflora changes. The research was conducted on the territory of the Agricultural Technology Park of the Vyatka State Agricultural University (Russia) on sod-podzolic soils. It was found that the greatest yield of barley is provided by seed treatment with effluent and Pseudobacterin-2, as well as pre-sowing application of effluent to the soil. The increase in seed yield was 1.74 dr / ha with a yield of 32.9 dr / ha. When the effluent is applied directly to the soil on the roots of plants, a significant decrease in the content of ammonifying microorganisms is observed and the number of microorganisms that assimilate the mineral nitrogen of the soil increases. When an effluent of 32 t / ha is added to the soil, the greatest accumulation of microorganisms that consume mineral forms of nitrogen occurs.
Cultivation of columnar varieties of apricot using agrotechnological methods and biotechnology on loamy soils
Authors: Edilsultanovna Mamalova Khadizhat
Published: November 2023

This article studies the state of modern columnar apricot varieties of domestic selection in the ecological zone of Chechnya. Modern apricot varieties have become possible thanks to the breeding work of scientists. The application of the latest technologies contributes, first of all, to the production of healthy planting material with a high level of resistance to natural anomalies, diseases and pests, as well as productivity. Along with economically valuable traits, morphological features play an important role in the growth and development of seedlings. In this connection, scientific research was conducted on chernozem-light clay soils of the Chechen Republic using agro-technological methods and biotechnology. These activities allowed us to select the most adaptive and effective hybrid apricot varieties of domestic selection, with a more compact crown and a branched root system. With good winter hardiness and normalized yield.
Foreign economic relations of Russia with Mongolia in the light of the concept of sustainable development
Authors: Zakirov I. V. , Gulnara A. S. , Faronova Y. V. , Khamadeeva Z. A. , Suleymanova A. B.
Published: November 2023

The article analyzes the peculiarities of Russia's foreign economic relations with Mongolia. Foreign economic relations between Russia and Mongolia are evaluated from the point of view of compliance with the provisions of the concept of sustainable development. The dynamics of Russia's foreign trade with Mongolia is traced, its place among Russian foreign trade partners is revealed. The commodity structure of mutual trade is analyzed, its raw material nature and significant impact on environmental pollution are noted. The regional geography of the Russian-Mongolian commodity exchange is considered. High concentration of Russia's foreign trade with Mongolia in certain territories is revealed. Prospects for the development of Russia's foreign economic relations with Mongolia are connected with the change of the Russian foreign economic policy, the increase in the export of products of some industries and the realization of joint investment projects that comply with ESG principles. It is concluded that Russia will not be able to take the place of China as the main foreign trade counterpart of Mongolia in the near future. The results of the study confirm the thesis that an effective foreign economic policy is necessary for the countries' foreign economic relations to become a factor contributing to the sustainable development of mankind.
The role of smart technologies in the development of cost-effective and sustainable energy
Authors: Gazieva Laila , Aygumov Timur , Zaripova Rimma
Published: November 2023

Integrating smart home technologies provides an effective solution to today's energy management challenges. Every day our society faces increasing resource consumption, and smart homes offer a comprehensive approach to solving these problems. Energy management systems such as smart thermostats and renewable energy integration demonstrate significant reductions in energy consumption, cost savings and improved user experience. There are still threats to these technologies, such as data security, but the practical implementation of smart home technologies has already brought tangible results, providing a glimpse into more efficient and sustainable economic development. Collaborative efforts by researchers, engineers and policymakers are critical to realizing the full potential of smart homes as a testament to human innovation and technological progress.
Sustainable development and coal consumption in Slovakia
Authors: Bosák Martin , Dugas Jaroslav , Szaryszová Petra , Kuhnová Lenka
Published: November 2023

The problem of the humanity of the present time is to ensure the energy needs, because the energy need is constantly increasing. It is determined by factors, e. g. the increasing number of inhabitants on Earth, the growing demands of people, etc. However, the limitation of fuel resources is a threat that humanity faces, and at the same time, the burning of fossil fuels also leads to serious damage to the environment. Currently, fossil fuels are mainly used for the heat production, electricity and for driving motor vehicles. The consumption of coal in Slovakia is also decreasing and today it is at the level of 5%, which is a decrease of more than 40% since 1980. Coal is mined in only one place in Slovakia and given the limited coal reserves we must import coal from abroad. In the Slovak thermal power plant Vojany occurs by coal combustion as an undesirable slag ash mixture deposited on the tailing pond. The new environmental solution uses waste at the tailings pond as a source of energy, the volume of coal mining will be reduced and at the same time the requirements of the 2030 Agenda for Sustainable Development will be fulfilled.
The effect of sulfurous oil on the biological activity of soils
Authors: Sakaeva Elvira , Yudina Daria , Shabalina Maria
Published: November 2023

The influence of oil hydrocarbons on soils with short-term and long-term pollution is considered. The regularity of the change in the number of microbiological community depending on the duration of oil hydrocarbon pollution has been established. The dependence of catalase activity on the time of contamination in the soil is shown.
Precise farming through end-to-end technologies
Authors: Magomedov Islam Arbievich , Mashukov Khyzyr Vyacheslavovich , Gaptullazyanova Gulshat Ildusovna
Published: November 2023

New times require new approaches to be implemented in different sectors, as old methods are irrelevant. New challenges such as overpopulation and its branches of events that are negatively affecting our planet and likewise humans and other living things. Therefore, new ideas are born and implemented. Precise farming is a promising approach that will tackle not just environmental issues, but also other minor issues in agricultural sectors that will be covered in this work. This work will outline the idea behind precise farming and its state in the present. Also, the positive and negative side of the approach will be discussed. In the end, Future perspective of the Precise farming will be outlined.
Future trends in artificial intelligence that could pose a threat to humanity
Authors: Magomedov Islam Arbievich , Mashukov Khyzyr Vyacheslavovich , Kremleva Elmira Shamilyevna
Published: November 2023

The world is changing in front our eyes, due to the technological progress, and yet it is not clear in which direction this will go. The technology that lately been on everyone’s lips is artificial intelligence. This technology took almost every possible field by storm and dramatically transformed them in a positive way. However, the problem relies on in its nature of improvement. The technology could provide us with the brighter future, or it could deprive. Therefore, this article will cover the basics of artificial intelligence and its common application. And mainly the possibilities it could give as in terms of positivity and negativity.
Quality of life, population health and demography as targets for sustainable development
Authors: Aslakhanova Seda , Khuazheva Aminat , Dzulaeva Indira
Published: November 2023

Nowadays, environmental pollution has become a part of our life. It concerns air, water, soil all over the planet. There are local, regional and global pollution. Some of them are irreversible, others, fortunately, are not. Therefore, it is very important to comply with all environmental parameters and standards at industrial enterprises in order to prevent a negative impact on the environment.
Problems and opportunities for introducing educational technologies for the sustainable development of the quality of education
Authors: Shudueva Zalina , Budnikov Dmitriy , Akhmadov Ahmedhaji
Published: November 2023

This article explores the challenges and opportunities of educational technologies for sustainable development. It highlights the increasing importance of incorporating technology into education to address the pressing global issues of sustainability. The article identifies various challenges, such as limited access to technology in certain regions, lack of digital literacy among educators and students, and the potential for technology to perpetuate existing inequalities. However, it also emphasizes the numerous opportunities that educational technologies offer, including enhanced learning experiences, improved access to educational resources, and the ability to foster collaboration and global awareness. The article emphasizes the need for a comprehensive and inclusive approach to the integration of educational technologies for sustainable development, taking into account the unique needs and conditions of various regions and communities.
Adaptive learning and artificial intelligence in the educational space
Authors: Akavova Aida , Temirkhanova Zarema , Lorsanova Zarina
Published: November 2023

Educational technologies leverage artificial intelligence and adaptive learning algorithms to analyze learners' performance and provide personalized feedback and recommendations. This helps identify areas of improvement and tailor learning experiences accordingly. Adaptive learning and artificial intelligence (AI) have emerged as powerful tools in the field of education, revolutionizing traditional teaching methods. This article explores the integration of adaptive learning technologies with AI algorithms to personalize and enhance the learning experience for students. The use of AI allows for the collection and analysis of vast amounts of data, enabling the system to adapt and tailor the content and delivery of educational materials to meet the individual needs of each student. By continuously monitoring and evaluating student performance, AI algorithms can identify areas of weakness and provide targeted interventions to address them. This personalized approach not only improves learning outcomes but also promotes student engagement and motivation. Additionally, AI-powered adaptive learning systems have the potential to assist teachers by automating administrative tasks, providing real-time feedback, and generating comprehensive progress reports. However, challenges such as privacy concerns, ethical considerations, and the need for teacher training in utilizing these technologies must be addressed. Overall, the integration of adaptive learning and AI holds great promise in transforming education by creating personalized and effective learning experiences for students.
Detection of fast neutrons using 4H-SiC radiation detectors
Authors: Zaťko Bohumír , Šagátová Andrea , Kováčová Eva , Novák Andrej , Sýkora Rudolf , Kohout Zdeněk , Polansky Štepán
Published: November 2023

The particle detector based on a low concentration 4H-SiC epitaxial layer shows promising properties for the detection of various types of ionizing radiation. The wide bandgap energy of the 4H-SiC semiconductor material (3.23 eV at room temperature) allows the detector to operate reliably at room temperature and at elevated temperatures up to several hundred degrees Celsius. The 80 >m thick 4H-SiC epitaxial layer grown on a 350 >m 4H-SiC substrate was used for detector preparation. The active area of the detector was defined by a 3 mm Schottky contact. The current-voltage measurement shows a reverse current of less than 30 pA up to 1000 V. Capacitance-voltage measurements show that the epitaxial layer is completely depleted at bias voltages above 250 V. The detector has been tested with neutrons of energies from 370 keV up to 14.9 MeV. Neutrons were produced by three nuclear reactions p-T, d-D and d-T. The measured spectra clearly identified the elastic and inelastic scattering at silicon and carbon atoms of detector material.
A novel smart rad-hard fast detection system for Radioactive Ion Beam Tagging and Diagnostics
Authors: Acosta Luis , Altana Carmen , Cardella Giuseppe , Castoldi Andrea , Costa Michele , De Filippo Enrico , Geraci Elena , Gnoffo Brunilde , Guazzoni Chiara , Maiolino Cettina , Simona Martorana Nunzia , Naggi Andrea , Pagano Angelo , Pagano Emanuele Vincenzo , Pirrone Sara , Politi Giuseppe , Risitano Fabio , Rizzo Francesca , Russo Antonio Domenico , Russotto Paolo , Trimarchi Marina , Tudisco Salvo
Published: November 2023

Radioactive Ion Beams (RIBs) of large intensity (106pps or higher) are at the frontier in nuclear physics. We designed a novel detection system for RIBs diagnostics and tagging based on Silicon Carbide detectors and on custom frontend electronics ready to be coupled with a Real Data Management Unit. The full detection system is designed to measure the spatial distribution of the beam intensity and trajectory with sufficient spatial resolution (of the order of 1-2 mm). In addition, the detection system has to determine the RIB composition that can be obtained from the joint measurement of the energy loss (>E) of the ions passing through the sensors and the time of flight between two sensors or with respect to a given reference signal as the RadioFrequency signal of a Cyclotron. In this paper we present the full design of the proposed system together with the results of the first experimental qualification of the first mini-prototype. The paper also shows the steps towards the final detection system, housed in a DN160 spherical cross and able to cover an active area of 30 mm × 60 mm.
Design of an Instrumented Fuel Rod for Intra-pin Neutron Flux Measurements in the CROCUS Experimental Reactor
Authors: Mager Tom , Valentin Jean-Baptiste , Lamirand Vincent , Ligonnet Thomas , Shin Won Dong , Fürbringer Jean-Marie , Hursin Mathieu , Pautz Andreas
Published: November 2023

In response to the need for validating high-fidelity deterministic neutronics solvers capable of pin-resolved neutron flux distributions, an instrumented fuel rod was designed for the experimental reactor CROCUS, operated by EPFL’s Laboratory for Reactor Physics and Systems Behaviour. This rod aims at obtaining intra-pin data using activation dosimetry techniques. Placed in the outer region of the reactor core, the rod utilizes spaces between four metal uranium cigars (25 cm each) to house various disk dosimeters, targeting different neutron energy ranges and allowing retrieval of radial and azimuthal intra-pin neutron reaction rates. A design of experiment (DOE) study, aided by Serpent2 Monte Carlo calculations, facilitated the selection of dosimeter material and rod design, ensuring detection of within-pin neutron flux v ariations w hile adhering to mechanical and regulatory constraints. Azimuthal divisions of activation dosimeters were irradiated at the core center and subsequently subjected to activity determination using an HPGe gamma spectrometer. The objectives were met, detecting expected azimuthal variations within dosimeters and confirming uncertainties on reconstructed activity to be smaller than the amplitude of the observed variations. A permit from the Swiss nuclear regulatory authority ENSI-IFSN was obtained, allowing installation and usage of the instrumented fuel rod in CROCUS, known as the NECTAR experiments.
New experiment for measuring the delayed neutron yields of238U fission in the range 1 MeV to 19 MeV
Authors: Belverge D. , Leconte P. , Geslot B. , Kessedjian G. , Mutti P. , Rodiac F. , Pirovano E. , Lutz B. , Ledoux X. , Mathieu L. , Meplan O.
Published: November 2023

In nuclear reactors operating in nominal conditions, delayed neutrons (DN) drive the kinetic behavior of the neutron population. Predicting this behavior requires therefore the knowledge of the DN yield per fission, average lifetime, and kinetic of their emission, which is described by precursors groups abundances. Characterizing the uncertainties of these macroscopic data is essential, especially as they are used to design the safety margins of reactors.

Even for major fissile isotopes such as235U and239Pu, discrepancies still appear between the main nuclear data library. In 2018, CEA launched the ALDEN project (Average Lifetime of DElayed Neutrons), gathering several laboratories (CEA/DES and DRF, CNRS/LPSC, LP2i and LPC Caen, ENSICAEN, and University of Caen). This collaboration aims at producing new precise DN macroscopic data for reactor applications.

Three experimental campaigns were conducted in 2018, 2019 and 2021 on the thermal fission of233U,235U and239Pu at Institut Laue Langevin in Grenoble (France), giving high quality results. In February 2023, a new campaign was performed at the PTB Ion Accelerator Facility in Braunschweig (Germany), focusing on the fast fission of238U. In particular, the DN yield was measured for eight energies between 1.5 and 19 MeV. This paper presents the experimental setup, that was adapted to the new facility and neutron spectrum. The methodology of analysis is also detailed, and some preliminary delayed neutron decay curves are showed.