bluuebunny/crossref_metadata_2025 huggingface dataset:
Probing the effect of nitro-substituents in the modulation of LUMO energies for directional electron transport through 4d6ruthenium(ii)-based metallosurfactants
Authors: Amunugama Samudra , Asempa Eyram , Jakubikova Elena , Verani Cláudio N.
Published: August 2023

Nitro groups intended to modulate the energy of Frontier molecular orbitals were installed onto terpyridine- and phenanthroline-based RuIImetallosurfactants aiming to match the Fermi levels of electrodes for charge transport in Au|LB|Au junctions.
Combining the advantages of 1,3,4-oxadiazole and tetrazole enables achieving high-energy insensitive materials
Authors: Zhang Chao , Xu Mei-Qi , Dong Wen-Shuai , Lu Zu-Jia , Zhang Han , Wu Xiao-Wei , Li Zhi-Min , Zhang Jian-Guo
Published: August 2023

Construction of tetrazoles and 1,3,4-oxadiazole and the introduction of an azo bridge have been performed to achieve high-energy insensitive compounds.
Multiply engaged molecular gears composed of a cerium(iv) double-decker of a triptycene-functionalized porphyrin
Authors: Nishino Toshio , Fukumura Masafumi , Katao Shohei , Yasuhara Kazuma , Rapenne Gwénaël
Published: August 2023

A Ce(iv) double-decker of triptycene-functionalised porphyrins with some intramolecular gearing motions is presented. Single crystal X-ray analysis and VT-NMR measurements provided information on the gearing motions.
Correction: Solution-processed orange and white OLEDs sensitized by an electroactive pure organic room-temperature phosphorescent polymer
Authors: Tian Yiting , He Renze , Meng Guoyun , Wang Shumeng , Zhao Lei , Ding Junqiao
Published: August 2023

Correction for ‘Solution-processed orange and white OLEDs sensitized by an electroactive pure organic room-temperature phosphorescent polymer’ by Yiting Tian et al., Mater. Adv., 2023, 4, 3323–3329, https://doi.org/10.1039/D3MA00326D.
A new and versatile template towards vertically oriented nanopillars and nanotubes
Authors: Xu Bohao , Wu Di , Hill Ian M. , Halim Merissa , Rubin Yves , Wang Yue
Published: August 2023

A direct template based on vertically oriented tetraaniline provides a new, general route towards vertically oriented nanopillar and nanotube arrays for a wide variety of materials. The arrays can also be patterned at micron-resolution.
Mechanism of melanogenesis inhibition by Keggin-type polyoxometalates
Authors: Chi Guoxiang , Shuai Die , Li Jiaxin , Chen Xiangsong , Yang Han , Zhao Meijuan , Jiang Zedong , Wang Li , Chen Bingnian
Published: August 2023

Our work provides insights into the design, synthesis and screening of polyoxometalates as multifunctional metallodrugs and food preservatives against hyperpigmentation.
Multifunctional GQDs for receptor targeting, drug delivery, and bioimaging in pancreatic cancer
Authors: Kumar Shukla Monu , Parihar Arpana , Karthikeyan Chandrabose , Kumar Deepak , Khan Raju
Published: August 2023

Pancreatic cancer is a devastating disease with a low survival rate and limited treatment options and in this context, multifunctional graphene quantum dot-based receptor targeting, drug delivery, and bioimaging possess immense potential to cure pancreatic cancer.
Impact of cyclization and dendronization on multi-tunable thermoresponsive behaviors of polyacrylamide copolymers
Authors: Hu Jiaman , Lian Lu , Lin Yong , Chen Ran , Zhao Youliang
Published: August 2023

Two pairs of linear and cyclic polyacrylamide-type thermoresponsive heterofunctional-dendron-bearing polymers (THDPs) are designed to achieve on-demand phase transitions and nanostructures.
Copper-catalyzed propargylic C–H functionalization for allene syntheses
Authors: Zhang Dongjie , Fan Junjie , Shi Yaqi , Huang Yankai , Fu Chunling , Wu Xiaoyan , Ma Shengming
Published: August 2023

A copper catalysed 1,5-HAT-based propargylic C–H cyanation affording tri- or tetra-substituted allenenitriles with excellent chemo- and regio-selectivity has been developed.
Elastoviscoplasticity, hyperaging, and time–age-time–temperature superposition in aqueous dispersions of bentonite clay
Authors: Rathinaraj Joshua David John , Lennon Kyle R. , Gonzalez Miguel , Santra Ashok , Swan James W. , McKinley Gareth H.
Published: August 2023

Clay slurries are both ubiquitous and essential in the oil exploration industry, and are most commonly employed as drilling fluids.
Spontaneous motion of a passive fluid droplet in an active microchannel
Authors: Tiribocchi Adriano , Durve Mihir , Lauricella Marco , Montessori Andrea , Succi Sauro
Published: August 2023

In this work we suggest a strategy to control the direction of propulsion of passive droplets in an active microchannel.
Energy harvesting technology based on moisture-responsive actuators
Authors: Yang Luyu , Zhang Lei , Sun Dongping
Published: August 2023

The moisture-responsive actuator converts the hygroscopic swelling of a material into controllable mechanical motion, which can be used as a high-performance actuator component to harvest electrical energy from environmental moisture.
Hydrogen-assisted growth of single crystalline borophene investigated by first-principles calculations
Authors: Wang Jinting , Zhu Yandi , Liu Kun , Zhang Lili , Pang Rui , Ren Xiaoyan , Shan Chongxin , Zhao Xingju , Li Shunfang
Published: August 2023

The development of an effective method for mass production of single crystalline two-dimensional (2D) materials is still a standing challenge.
Hollow multishelled heterostructures with enhanced performance for laser desorption/ionization mass spectrometry based metabolic diagnosis
Authors: Pei Congcong , Su Rui , Lu Songting , Chen Xiaonan , Ding Yajie , Li Rongxin , Shu Weikang , Zeng Yu , Lin Yingying , Xu Liang , Mi Yuqiang , Wan Jingjing
Published: August 2023

High-performance metabolic diagnosis-based laser desorption/ionization mass spectrometry (LDI-MS) improves the precision diagnosis of diseases and subsequent treatment.
Manipulating the transition of aggregated states to control the photochromism in a new triphenylethylene derivative
Authors: Shen Mingyao , Huang Cheng , Xiao Yuxin , Huang Rongjuan , Au Vonika Ka-Man , Yu Tao
Published: August 2023

By switching the aggregated state of the solid from the crystalline to the amorphous form, the gated transformation of photochromism was realized and can be interconverted, demonstrating a new strategy for the regulation of photochromism.
Polysulfide polyurethane–urea-based dielectric composites with CeO2-loaded MXene exhibiting high self-healing efficiency
Authors: Ma Ying-Jie , Wang Jing-Wen , Zhuang Guo-Chao , Zhang Yang , Zhang Zi-Long , Zhang Ming-Yue , Ji Guang-Bin
Published: August 2023

We developed a CeO2@MXene/PSPU composite film with a dielectric constant of 206 at 100 Hz, a loss of 0.19 and a self-healing efficiency of 97.9% at a filler content of 5.25 vol%.
Benzothiadiazole and its derivative-based sp2carbon-conjugated covalent organic frameworks for photocatalytic hydrogen generation
Authors: Han Chao-Qin , Sun Xiaokang , Liang Xiao , Wang Lei , Hu Hanlin , Liu Xiao-Yuan
Published: August 2023

Benzothiadiazole and its derivative-based sp2c-COFs have been constructed for hydrogen generation, which demonstrates that only extending the light-harvesting range of photocatalysts is not enough to achieve efficient photocatalytic activity.
Physical insights into the ultralow lattice thermal conductivity and high thermoelectric performance of bulk LiMTe2 (M = Al, Ga)
Authors: Mandal Sampad , Sarkar Pranab
Published: August 2023

Lattice anharmonicity induced ultra-low lattice thermal conductivities, high Seebeck coefficients, and optimum electrical thermal conductivities lead to a high figure of merits in n-type and p-type ternary chalcogenides LiMTe2 (M = Al, Ga).
Correction: Solution-processable Li-doped transition metal oxide hole-injection layer for highly efficient quantum-dot light-emitting diodes
Authors: Shin Jae Seung , Kim Mingye , Ma Jin Hyun , Jeong Jun Hyung , Hwang Hui Ung , Kim Jeong Won , Kang Seong Jun
Published: August 2023

Correction for ‘Solution-processable Li-doped transition metal oxide hole-injection layer for highly efficient quantum-dot light-emitting diodes’ by Jae Seung Shin et al., J. Mater. Chem. C, 2022, 10, 5590–5597, https://doi.org/10.1039/D1TC06117H.
Colloidal synthesis of a heterostructured CuCo2S4/g-C3N4/In2S3 nanocomposite for photocatalytic hydrogen evolution
Authors: Gautam Amit , Sk Saddam , Jamma Aparna , Abraham B Moses , Ahmadipour Mohsen , Pal Ujjwal
Published: August 2023

Hot injection induced heterostructured nanocomposite substantially boosts photocatalytic hydrogen evolution performance.
A MUSE view of the massive merging galaxy cluster ACT-CL J0102−4915 (El Gordo) at z = 0.87
Authors: Caminha G. B. , Grillo C. , Rosati P. , Liu A. , Acebron A. , Bergamini P. , Caputi K. I. , Mercurio A. , Tozzi P. , Vanzella E. , Demarco R. , Frye B. , Rosani G. , Sharon K.
Published: August 2023

We present a detailed strong lensing analysis of the massive and distant (z = 0.870) galaxy cluster ACT-CL J0102−4915 (ACT0102, also known as El Gordo), taking advantage of new spectroscopic data from the Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope and archival imaging from the Hubble Space Telescope. Thanks to the MUSE data, we were able to measure secure redshifts for 374 single objects, including 23 multiply lensed galaxies, and 167 cluster members of ACT0102. We used the observed positions of 56 multiple images, along with their new spectroscopic redshift measurements, as constraints for our strong lensing model. Remarkably, some multiple images are detected out to a large projected distance of ≈1 Mpc from the brightest cluster galaxy, allowing us to estimate a projected total mass value of 1.84−0.04+0.03 × 1015 M⊙ within that radius. We find that we need two extended cluster mass components, the mass contributions from the cluster members and the additional lensing effect of a foreground (z = 0.633) group of galaxies, to predict the positions of all multiple images with a root mean square offset of 0″​​.75. The main cluster-scale mass component is centred very close to the brightest cluster galaxy, and the other extended mass component is located in the north-west region of the cluster. These two mass components have very similar values of mass projected within 300 kpc of their centres, namely 2.29−0.10+0.09 × 1014 M⊙ and 2.10−0.09+0.08 × 1014 M⊙, in agreement with the major merging scenario of ACT0102. We make publicly available the lens model, including the magnification maps and posterior distributions of the model parameter values, as well as the full spectroscopic catalogue containing all redshift measurements obtained with MUSE.
Homogeneous search for helium in the atmosphere of 11 gas giant exoplanets with SPIRou
Authors: Allart R. , Lemée-Joliecoeur P.-B. , Jaziri A. Y. , Lafrenière D. , Artigau E. , Cook N. , Darveau-Bernier A. , Dang L. , Cadieux C. , Boucher A. , Bourrier V. , Deibert E. K. , Pelletier S. , Radica M. , Benneke B. , Carmona A. , Cloutier R. , Cowan N. B. , Delfosse X. , Donati J.-F. , Doyon R. , Figueira P. , Forveille T. , Fouqué P. , Gaidos E. , Gu P.-G. , Hébrard G. , Kiefer F. , Kóspál Á. , Jayawardhana R. , Martioli E. , Dos Santos L. A. , Shang H. , Turner J. D. , Vidotto A. A.
Published: August 2023

The metastable helium triplet in the near-infrared (10 833 Å) is among the most important probes of exoplanet atmospheres. It can trace their extended outer layers and constrain mass loss. We used the near-infrared high-resolution spectropolarimeter SPIRou on the CFHT to search for the spectrally resolved helium triplet in the atmospheres of eleven exoplanets, ranging from warm mini-Neptunes to hot Jupiters and orbiting G, K, and M dwarfs. Observations were obtained as part of the SPIRou Legacy Survey and complementary open-time programs. We applied a homogeneous data reduction to all datasets and set constraints on the presence of metastable helium, despite the presence of systematics in the data. We confirm published detections for HAT-P-11 b, HD 189733 b, and WASP-69 b and set upper limits for the other planets. We applied the p–winds open source code to set upper limits on the mass-loss rate for the nondetections and to constrain the thermosphere temperature, mass-loss rate, line-of-sight velocity, and the altitude of the thermosphere for the detections. We confirm that the presence of metastable helium correlates with the stellar mass and the extreme-ultraviolet flux received by the planets. We investigated the correlation between the mass-loss rate and the presence of metastable helium, but it remains difficult to draw definitive conclusions. Finally, some of our results are in contradiction with previous results in the literature, and therefore we stress the importance of repeatable, homogeneous, and larger-scale analyses of the helium triplet to obtain robust statistics, study temporal variability, and better understand how the helium triplet can be used to explore the evolution of exoplanets.
Gammapy: A Python package for gamma-ray astronomy
Authors: Donath Axel , Terrier Régis , Remy Quentin , Sinha Atreyee , Nigro Cosimo , Pintore Fabio , Khélifi Bruno , Olivera-Nieto Laura , Ruiz Jose Enrique , Brügge Kai , Linhoff Maximilian , Contreras Jose Luis , Acero Fabio , Aguasca-Cabot Arnau , Berge David , Bhattacharjee Pooja , Buchner Johannes , Boisson Catherine , Carreto Fidalgo David , Chen Andrew , de Bony de Lavergne Mathieu , de Miranda Cardoso José Vinicius , Deil Christoph , Füßling Matthias , Funk Stefan , Giunti Luca , Hinton Jim , Jouvin Léa , King Johannes , Lefaucheur Julien , Lemoine-Goumard Marianne , Lenain Jean-Philippe , López-Coto Rubén , Mohrmann Lars , Morcuende Daniel , Panny Sebastian , Regeard Maxime , Saha Lab , Siejkowski Hubert , Siemiginowska Aneta , Sipőcz Brigitta M. , Unbehaun Tim , van Eldik Christopher , Vuillaume Thomas , Zanin Roberta
Published: August 2023

Context.Traditionally, TeV-γ-ray astronomy has been conducted by experiments employing proprietary data and analysis software. However, the next generation ofγ-ray instruments, such as the Cherenkov Telescope Array Observatory (CTAO), will be operated as open observatories. Alongside the data, they will also make the associated software tools available to a wider community. This necessity prompted the development of open, high-level, astronomical software customized for high-energy astrophysics.

Aims.In this article, we present Gammapy, an open-source Python package for the analysis of astronomicalγ-ray data, and illustrate the functionalities of its first long-term-support release, version 1.0. Built on the modern Python scientific ecosystem, Gammapy provides a uniform platform for reducing and modeling data from differentγ-ray instruments for many analysis scenarios. Gammapy complies with several well-established data conventions in high-energy astrophysics, providing serialized data products that are interoperable with other software packages.

Methods.Starting from event lists and instrument response functions, Gammapy provides functionalities to reduce these data by binning them in energy and sky coordinates. Several techniques for background estimation are implemented in the package to handle the residual hadronic background affecting γ-ray instruments. After the data are binned, the flux and morphology of one or moreγ-ray sources can be estimated using Poisson maximum likelihood fitting and assuming a variety of spectral, temporal, and spatial models. Estimation of flux points, likelihood profiles, and light curves is also supported.

Results.After describing the structure of the package, we show, using publicly available gamma-ray data, the capabilities of Gammapy in multiple traditional and novelγ-ray analysis scenarios, such as spectral and spectro-morphological modeling and estimations of a spectral energy distribution and a light curve. Its flexibility and its power are displayed in a final multi-instrument example, where datasets from different instruments, at different stages of data reduction, are simultaneously fitted with an astrophysical flux model.
Quelle agroforesterie dans les oliveraies de Tunisie ? Analyse des associations de cultures pratiquées et des perceptions des agriculteurs
Authors: Rezgui Ferdaous , Ben Yahmed Jihène , Leauthaud Crystele
Published: August 2023

L’association de cultures avec les oliviers – arbre emblématique de la région – est une pratique ancienne en Méditerranée. Cette agroforesterie est reconnue pour fournir de multiples services écosystémiques. En Tunisie, l’un des plus importants pays producteurs d’huile d’olive, les systèmes agroforestiers à base d’oliviers sont peu documentés. Ce travail vise à caractériser les principaux systèmes oléicoles agroforestiers existants au nord et au centre du pays, et à comprendre les raisons qui sous-tendent leur adoption. Pour ce faire, une analyse cartographique a d’abord été réalisée pour appréhender la diversité des milieux oléicoles à l’échelle nationale. Vingt-et-un systèmes oléicoles différents ont été identifiés. Sur cette base, un diagnostic agronomique sur deux sites représentatifs de cette diversité a permis de caractériser la structure des systèmes agroforestiers à l’échelle parcellaire. Cinq types de systèmes agroforestiers à base d’oliviers se distinguent en fonction du choix des espèces associées : cultures maraîchères, polyculture, arbres fruitiers, pâturage pour le cheptel et grandes cultures. Une série d’enquêtes a enfin été réalisée auprès d’agriculteurs pour comprendre les choix d’agencement de ces systèmes et la perception qu’ils en ont. Leur mise en place et les pratiques culturales des agriculteurs sont souvent déterminées par des contraintes économiques ou foncières, et non d’intérêts agronomiques et environnementaux.
Study of the cement systems reactivity modified with mineral additives
Authors: Kogai Alina , Puzatova Anastasiia , Dmitrieva Maria
Published: August 2023

The influence of mineral fillers on the hydration of cement systems and the curing of concrete during their partial replacement of cement has been studied. A comprehensive approach based on a combination of isothermal calorimetry method and compressive strength tests was used in this work. The results obtained allowed to draw conclusions about the reactive pozzolanic activity of silica fume and metakaolin, the microreinforcing function of wollastonite, and the effect of the zeolite filler.
Prospects for using amorphous ferromagnetic alloy microwire for reinforcement of cement mortar
Authors: Grachev Ivan , Polyakova Polina , Rakhmatullina Elvina , Gasanova Alina , Cherkasova Lolita , Inozemtcev Aleksandr
Published: August 2023

Traditionally, fibers for fiber-reinforced concrete are made of metal, polypropylene, basalt or glass. На сегодняшний день для строительства актуально использование волокон с уникальными электрофизическими свойствами. The possibilities of using a microwire made of an amorphous ferromagnetic alloy based on cobalt with a shell of borosilicate glass in concrete technologies are studied in this paper. The influence of the content of fibers of different sizes (length 7 and 15 mm) on the rheological and physico-mechanical properties of the solution was established. The deterioration of the workability of mixtures and the average density of the composite with the introduction of the studied fiber is shown. It has been established that the spread diameter of the mortar mixture with a fiber content of 0.5...3.0 % by weight of Portland cement is reduced by 9.8...26.1% compared to the control composition. It is shown that the short fiber (7 mm) at the maximum content (3 %) leads to a more significant decrease in the average density (up to 9.6 %) compared to the long fiber (15 mm) of the same concentration (reduction is no more than 4 %). A positive effect on the flexural strength and crack resistance of the solution was established. The increment of flexural and compressive strength ranges from 1.11 to 1.54 and from 0.99 to 0.78 respectively with increasing fiber concentration. The presence of fiber in the composition of the solution allows you to increase the crack resistance from 0.098 to 0.164. The increase in the crack resistance coefficient for compositions with a fiber 7 mm long is 51...68 % and compositions with a fiber 15 mm long is 22...37 %. The possibility of using such microwire based on a ferromagnetic alloy for dispersed reinforcement of cement solutions opens up prospects for the creation of “smart” materials.
Calculation of Pre-Stressed Structures using High-strength reinforcement without concrete-to-steel bond
Authors: Topilin A.N. , Verkeenko M.A. , Varlamova A.D.
Published: August 2023

The article deals with the method of calculation of a pre-stressed beam for the first group of limit states without adhesion of wire-rope reinforcement with concrete (monostrand) in the curved position. To verify the plausibility of hypothesis, a numerical simulation was done in the software complex ABAQUS for stress-strain state with such beam until the destruction. The analysis of the received results is executed and the conclusion of the performance a structures of their kind.
The methods of climatization of Orthodox churches
Authors: Eremkin Alexander , Averkin Alexander , Ponomareva Inna
Published: August 2023

The convective flow, the article developed methods for ensuring the deviation of the vertical polluted air flow from the inner surface of the walls and decoration of the worship hall towards the interior of the room for regulation.
Strength characteristics of load-bearing reinforced concrete structures of the Ostankino television tower
Authors: Mamin Aleksandr N. , Avdeev Kirill V. , Bobrov Vladimir V. , Reutsu Aleksandr V. , Chaganov Aleksej B.
Published: August 2023

The article describes the design features of the Ostankino TV tower in Moscow. The main results of the earlier works of the load-bearing reinforced concrete structures of the TV tower column and foundations are presented in the article. The authors examined the internal and external surfaces of reinforced concrete structures of the entire height of the tower with selective defectoscopy and determined the actual strength of concrete by non-destructive methods. The figures of this work show the main structural reinforced concrete elements and a distribution graph of strength characteristics of the height of the structure. Despite the noticeable height changes, the concrete strength in all parts exceeds the value provided for in the project.
The limit value of plasticity coefficient of reinforcement under seismic loads
Authors: Kurnavina Sofia , Tsatsulin Ilya
Published: August 2023

Plastic deformations develop in bending reinforced elements under seismic loads. In calculation of reinforced concrete constructions by spectral method they are taken into account only at the stage of seismic loads determination by introduction of reducing coefficients. But the development of plastic strains in bending elements leads to appearance of cracks, which don’t close after changing the internal forces sign. Due to it the work height of a section decreases, and the strength of elements reduces during subsequent loading cycles. The experimental evaluation of the influence of plastic strains on the stress-strain state of beams under low-cycle alternating effects of high intensity has been carried out. The first group of beams, considered as reference, was loaded with a monotonously increasing load until complete destruction. The other groups of beams were loaded by the monotonically increasing load up to the specified value of plastic deformations was reached. Then they were unloaded and loaded by the force of the opposite sign up to destruction. The stress-strain state of normal sections at all stages of loading was studied. It has been discovered that when changing the sign of load the through cracks are formed which close later if the plastic deformations of reinforcement are not large. The limit value of plasticity coefficient in the first semi cycle of loading preventing the formation of non-closing through cracks when changing the sign of internal forces has been determined.
Experimental estimation of the parameters of crack progression in concrete
Authors: Muratov Oybek , Muratov Ashirbay , Yakubov Quvochbek , Khalimbetov Azat , Bozorov Bustonjon , Khikmatov Farrukhbek
Published: August 2023

This article presents the influence of the structure on the characteristics of the crack resistance of concrete. Due to ease of manufacture and testing of samples, the method of determining the results of the test KIC beams notched. Depending on the conditions of application of the load, the schemes were used to obtain the characteristics of the crack resistance of concrete in four-point bending, stretching, splitting. They allow to accurately determine stress coefficient KIC.
Stability of Nonlinear Vibrations of Elastic Plate and Dynamic Absorber in Random Excitations
Authors: Mirsaidov Mirziyod , Dusmatov Olimjon , Khodjabekov Muradjon
Published: August 2023

In this work, the problem of exploring the stability of vibrations of a hysteresis-type elastic dissipative characteristic plate with a liquid section dynamic absorber under the influence of random excitations is considered. Expressions of mean square deviations of the generalized coordinates are presented, and the expression of the spectral density of the base acceleration is obtained in the form of a wide band. The integral expressions of mean square deviations were calculated, and the conditions for the existence of vertical tangents transferred to the graph of the function representing the mean square values of displacements of plate points were determined. It is shown that these conditions are not fulfilled, and the stability condition is determined depending on the structural parameters of the system.
Structure formation of hyper-compacted and modified concrete
Authors: Khasanov B. B. , Adilkhujaev A. E. , Choriev R. K. , Azizova B. M. , Rajabov M. Z. , Mirzaev T. A.
Published: August 2023

Production of axisymmetric products -pressure and non-pressure pipes, rings, wells, bridges and drainage elements represents one of the main branches of construction industry in water and wastewater industry of Uzbekistan and Central Asian republics. However, positive tendencies of its development are only emerging and still do not meet the potential of progressive, competitive and economical modern technology, capable of providing significant shifts in reduction of resource intensity of new products, expansion of raw material base of construction industry and involvement of technogenic products into its balance, as well as solution of important economic and environmental problems.

Prospects for further development of high-efficiency tubular goods production and scientific and technological progress of their production are largely determined by the importance of regularities and methods of controlling technological processes of structure formation with regard to given high level of product quality and criteria of resource intensity of production.

In this regard, the analysis of general regularities of material structure formation in the complex process of hypercompaction and cementations modification in axisymmetric concrete is of primary importance.
Integrating engineering methods for obtaining three-dimensional data in architectural BIM and HBIM modeling
Authors: Shamarina Anna , Pavlyuk Alena
Published: August 2023

The engineering survey of buildings is a relevant topic due to the need for analysis and expertise for historical buildings, reconstruction for existing buildings, creation of digital information models and so on. This paper presents the following sequence for a workflow: 1) pre-project analysis; 2) engineering technologies for obtaining a spatial 3D data, such as 3D scanning, photogrammetry, etc.; 3) obtaining a point cloud and import into BIM software, and 4) working with digital information models and digital twins with a focus on Russian software. This analysis is considered based on literature review and on practical studies. Engineering methods are designed to enrich the architect's tools, they have to be introduced and implemented in architectural education, and integrated into architectural projects, especially at master’s level.
Influence Of Flood Control Facilities On The Water Level In The Downstream Of The River System Sai Gon - Dong Nai
Authors: Markova Irina , Khanh Phan Khanh , Vokhidov Oybek
Published: August 2023

Ho Chi Minh City, Vietnam’s largest city, located on the lower reaches of the Sai Gon-Dong Nai (SG-DN) river system, is facing increasingly severe flooding due to changes in river flow and water levels. This article presents the results of a study to assess the impact of hydraulic structures located in the upper reaches on the water level in the lower reaches of the SG-DN River. As part of a study to assess the impact of upstream reservoirs and flood control structures on the water level in the lower reaches of the SG-DN River, hydrological data of the river network were collected and a hydraulic model was developed based on a digital elevation model (DEM) using the software package Mike 11, Mike 21 and Mike Flood. The water level of the Sai Gon River from the upper reaches to the Thu Dau Mot measuring station directly depends on the Dau Tieng reservoir, and the Tri An reservoir directly affects the water level in the river section from behind the Tri An dam to the Dong Nai section in the Tam An - Long Phuoc area. In the sections of the Sai Gon and Dong Nai rivers, which are less affected by the two overlying reservoirs, it is necessary to develop preventive measures to supply sufficient fresh water to meet the needs of the population and industries. In areas prone to flooding and underflooding as a result of the operation of anti-flood locks, it is also necessary to reconstruct hydraulic structures (raise the elevations of foundations, expand drainage systems, build reservoirs for collecting flood water etc.)
Environmental aspects of operation of irrigation pumping stations in the context of climate change
Authors: Ergashev Rustam , Rashidov Jaloliddin , Saparov Berdibay , Meliyev Bakhtiyor , Kholbutaev Boybek , Ergasheva Gulchexra
Published: August 2023

Increased workloads to meet the needs of a growing population have posed a number of new challenges for professionals working in the field of ecology and other sciences that study the impact of climate on the environment and buildings. The article presents the main goals for the development of pumping stations based on the development of criteria and prioritization of improving the efficiency of operation, which are formulated by the authors for the strategic, functional, morphological structure of pumped water lifting systems operating in various climatic and hydrological conditions. Research methods include the study of the ecological state of water bodies in the Aral Sea basin and their impact on the management of pumped water systems. The main criterion for research is the modernization of pumps, taking into account the operation of the main structures, their operating modes and structures. The negative consequences of the Aral Sea crisis are associated with the use of large irrigation pumping stations for decades. Some technological foundations of the management of machine water lifting systems in the aspect of safety are considered with the participation of specialists from the Institute of Ecology and Geography of the Chinese Academy of Sciences. The scientific novelty of solving a complex of complex and interrelated tasks of a methodological and technical nature is the creation of an effective regional automated system for environmental monitoring of the operating conditions of pumping stations for any region. The lack of priority work on this problem makes it impossible to optimize the modes of pumping stations at the current level of operation. Special difficulties are taken into account, in particular, the wear of pumps with an increase in the temperature of the pumped water and ambient air. The conclusions include an updated calculation of the main elements of the hydraulic unit of pumping stations in various regional conditions, the conditions for changing the water supply and the maximum use of the potential energy of surface water sources.
Model studies of a curved suction pipe of pumping units
Authors: Glovatskiy Oleg , Sharipov Sherali , Saparov Azamat , Gazaryan Alexander , Nasirova Naira , Saydullaev Sirojiddin
Published: August 2023

The purpose of the research was to study the hydraulic conditions of the flow supply in the new design of the curved suction pipe and to study the effect of these conditions on the pump operation. Improving the suction pipes provides a predetermined schedule of water supply, reducing unproductive losses and the cost of electricity for water lifting. Therefore, such studies are relevant. The article uses methods of physical modeling with the introduction of the obtained data on full-scale structures. The values of the dimensionless coefficients and the corresponding hydraulic gradients for various times are studied on a suction pipe model at Qmax and Qmin, over the entire range of operating parameters. The chosen method of improving the suction pipes provides an optimal water supply schedule, reducing unproductive losses and electricity costs for water lifting. During the reconstruction of pumping stations, projects for the modernization of water supply facilities were introduced with annual energy efficiency amounting to 1312 million sum for the pumping stations Kuyumazor, Kiziltepa-1 - 105 million sum.
Design parameters of circular multidirectional spherical knife tools
Authors: Ismailov Ibrat
Published: August 2023

The aim of the research is to justify the design and geometric parameters of spherical blade working tools for preparing the soil for sowing gourds. The scheme of spherical knife working body is given. The basis of the working body is the thickness of the flange, the crevice of the spherical knife, the depth of treatment, the height of the knife element. Analytical dependences for determining the basic parameters of spherical knife working bodies are obtained. Theoretical researches show that for quality ripping of soil with minimal traction resistance the diameter of spherical blade working elements must be 400 mm, thickness of blade 15 mm, number of knives in blade must be 12 units. The length of the spherical blades is 110 mm.
Determination of head loss in water pipes
Authors: Dauletmuratova Nadejda , Abdiganieva Gulshad , Tolepova Sharigul , Seytmuratov Azizbek , Alisher ugli Latipov Shakhboz
Published: August 2023

This article is devoted to the problems of water supply to the population, which are associated with the current water management situation, such as the shortage of water resources, the decline in the quality of surface and groundwater, the technical condition of pipelines. In this situation, there is a need to eliminate or mitigate the current situation, so the study of hydraulic friction losses in water conduits is of national economic and scientific importance.The article deals with the issues of determining the pressure loss in water pipes under various modes, the causes of clogging of pipelines in water supply systems and the basic formulas of engineering hydraulics under conditions of insufficient water supply to the population. Solving the problem will increase the reliability of pipeline operation, meet the requirements of the population, and meet the minimum of the reduced costs for construction and operation.
Stock Price Prediction of Tesla & Apple using LSTM
Authors: Chaudhary Abhishek , Gupta Ankur , Pahariya Devraj , Singh Shashi Kant
Published: August 2023

The stock market has always piqued academics' interest in predicting. Since they were originally created, machine learning algorithms have been increasingly popular for predicting changes in the stock market. The intricacy and unstable nature of the stock market make it challenging to predict stock values. In recent years, stock value forecasting has used both sentiment analysis and machine learning techniques. In this work, we present a study to anticipate the stock prices of Tesla and Apple using sentiment analysis and long short-term memory (LSTM). Using historical stock prices and sentiment data from Twitter, our LSTM model will be trained and put to the test. To evaluate the proposed model, metrics like normal error, mean square error (MSE), and mean absolute error (MAE) are taken into account. The obtained results showed very promising results and can be incorporated in stock price prediction applications.
Human Activities Detection using DeepLearning Technique- YOLOv8
Authors: Motwani Nilesh Parmanand , S Soumya
Published: August 2023

Using a mask during the pandemic has occasionally been crucial and difficult. The use of universal masks can greatly lower and possibly even stop the spread of viruses within communities. So, mask detection has become a very critical task for security agencies in all the buildings, Government offices & other places. With the advent of GPUs, high computing machines, and Deep Convolution Neural Networks (DCCN), automatic Face & Mask Detection is possible by considering the image processing feature of extracting, 3-dimensional shapes from 2- dimensional images. This paper discuss about the YOLOv8 model to confirm its overall applicability, on two datasets namely FDDB & MASK. This helps to examine the behavior of the feature from the Mask dataset, which is intended for COVID-19 Mask Detection alone. Mask is the main dataset in this experiment. Above this, the ImageNet dataset is utilized for pretraining and FDDB (Face Detection Dataset & Benchmarks) datasets for recognizing face of a human being. The precision of models on FDDB is 58.9 % & on MASK dataset is 66.5%.
Fake News Detection using LSTM based deep learning approach
Authors: Jaybhaye Sangita M. , Badade Vivek , Dodke Aryan , Holkar Apoorva , Lokhande Priyanka
Published: August 2023

The identification of false information has become a critical concern in the modern era of technology, as the ready availability of information and widespread utilization of social media platforms have accelerated the dissemination of inaccurate news. The ability to accurately identify false news can help to mitigate the negative effects of misinformation, such as public confusion, political polarization, and potential harm to public health and safety. This paper presents a comprehensive review of ML and DL based approaches for fake news detection. Our review provides insights and guidance for researchers and practitioners interested in developing effective fake news detection systems using ML and DL approaches. News reporters often need to verify authenticity of news stories before publishing or reporting them. By utilizing fake news detection models, reporters can filter out fake news and focus on reporting accurate and reliable information.
Hate Speech Detection in Twitter Using Different Models
Authors: Abraham Anagha , Kolanchery Antony J , Kanjookaran Anugraha Antoo , Jose Binil Tom , PM Dhanya
Published: August 2023

Twitter’s primary objective is to facilitate free expression and the exchange of ideas, allowing individuals to share their thoughts, opinions, and information with others without any limitations or constraints. It helps a human being to perceive different scopes and points of view. It is used to serve the public discussion and it should not be used to undermine individuals based on their race, nationality, public standing, rank, sexual orientation, age, disability, or health conditions. So, using hate speech is not appropriate and removal of hate speech is necessary for achieving the goal. This paper aims to utilize machine learning algorithms such as Logistic Regression, Support Vector Machine, Random Forest, CNN-LSTM, and Fuzzy method to compare and evaluate their accuracy in detecting hate speech. The objective is to determine the best model for hate speech detection.
Vehicle Accident Prevention on Mountain Roads
Authors: Patwardhan Swanand , Pethkar Piyush , Shah Prachi , Buche Reva , Bhorge Siddharth
Published: August 2023

Vehicle accidents on mountain roads have been a major concern for many years. The narrow roads, acute turns, and steep slopes of these areas can make it difficult for drivers to see approaching vehicles, leading to a high incidence of collisions. This research paper aims to propose a solution to this problem using emerging modern technology to prevent and reduce the number of accidents on mountain roads. The proposed model consists of techniques such as image processing to detect the type of vehicle present at the other end of a blind spot, alerting the driver and thus allowing them to make safe decisions while taking turns also there is a system to detect vehicle using sensors and also to manipulate the signal so proper instruction can be conveyed. Through this research, we aim to demonstrate the effectiveness of this system and show how it can be used to reduce the loss of life and property on mountain roads.
Unidirectional Parametric Speaker
Authors: Bhorge Siddharth , Patil Varad , Pawar Shantanu , Poke Akhilesh , Jambhulkar Rajat
Published: August 2023

One of the most significant ways that people convey information is through sound. The production of directed sound is dramatically increasing in terms of personal privacy in contemporary culture. The Ultrasonic Unidirectional Speaker project aims to design and develop a compact, lightweight, and energy-efficient speaker system that can deliver sound in a specific direction using ultrasonic waves. The system utilises the non-linear properties of air to generate audible sound waves through the use of ultrasonic frequencies, creating a directional sound beam that can be precisely targeted. The work involves designing and fabricating the necessary electronic components, such as the ultrasonic transducer, amplifier, and signal generator, and developing software to control the system. The ultimate goal of this project is to create a high-quality directional speaker system that can be used in a variety of applications, such as public address systems, directional sound for displays, and immersive gaming experiences.
Parkinson’s Disease Prediction System in Machine Learning
Authors: Patil Saraswati , Jaybhaye Sangita , Bokariya Sujal , Jain Pranav , Phapale Siddhi , Hande Tejas
Published: August 2023

Around the globe, thousands of people worldwide are suffering by Parkinson’s Disease (PD), a central nervous system degenerative condition. Early detection and diagnosis of PD is crucial for successful treatment and management of the disease. In past few years, Machine learning (ML) algorithms has shown great potential in predicting PD based on various physiological and neurological markers. In this disease prediction system, a system is proposed using ML-based approach to predict the presence of PD in patients. The system employs various machine learning models, including Gradient Boosted Tree, random forest, and logistic regression, to identify key markers and patterns associated with the disease. Overall, this disease prediction system provides a valuable tool for early detection and diagnosis of PD, which can lead to better management and treatment of the disease. The proposed approach can also be extended to other neurological disorders, providing a general framework for disease prediction and diagnosis.
Comparative Analysis of Machine Learning Algorithms to Forecast Indian Stock Market
Authors: Chandrika G.Naga , Gumudavelli Sai Venkata Rohit , Kalleru Ashish , Kambhampati Vijitha , Kandaggatlta Pragnika
Published: August 2023

Forecasting the stock market is a complex and challenging task, as it involves analyzing a vast amount of data and taking into account various economic, political, and social factors. This paper presents an overview of different approaches and techniques used for stock market forecasting, including fundamental analysis and machine learning. The study also highlights the different algorithms used and discusses their effectiveness in predicting the stock market. This research proposes to use five different algorithms as Decision Trees, Random forest, Generalized Linear model,Gradient boosted trees, and Support Vector Machines. This research identifies models that are close to real predictions. These algorithms are applied to BSE index data from November 2017 to February28, 2023.
Diabetes Mellitus Prediction Using Ensemble Machine Learning Techniques
Authors: Rao D. Madhu Sudhana , Sridhathri D. Sai.
Published: August 2023

Diabetes Mellitus most called has Diabetes is a type of acute endocrine chronic disease which is the major problem in many individuals either through hereditary or from the trends of the human life style. It elevates the blood sugars in the body due to endocrine issues. This increase in blood sugar does not only affect its levels but even causes many health issues related to kidney, liver functions, blood pressure and eye damage etc. This is most common in the smaller age group, and for the age group above 45 years. Almost 68 percent people in our country suffer from these diabetics. This can be avoided or eradicated when it is predicted near to the levels. With the scenario it is considered has the severe problem and it needs to be controlled at any cost. Combining the technology of Computer Science, we use Machine Learning techniques to predict the diabetes at early stage with a greater accuracy. Here we use different classifiers namely K-Nearest, Naive Bayes (NB), XG Boost, Decision Tree (DT) and Random Forest (RF) from the provided data sets and detect its accuracy. Among those we found Random Forest to be more suitable for higher precision calculation in comparison with other different techniques.
On strictly convex entropy functions for the reactive Euler equations
Authors: Zhao Weifeng
Published: August 2023

This work is concerned with entropy functions of the reactive Euler equations describing inviscid compressible flow with chemical reactions. In our recent work (W. Zhao, Math. Comput. 91 (2022) 735–760.) we point out that for these equations as a hyperbolic system, the classical entropy function associated with the thermodynamic entropy is no longer strictly convex under the equation of state (EoS) for the ideal gas. In this work, we propose two strategies to address this issue. The first one is to correct the entropy function. Namely, we present a class of strictly convex entropy functions by adding an extra term to the classical one. Such strictly entropy functions contain that constructed in (W. Zhao, Math. Comput. 91 (2022) 735–760.) as a special case. The second strategy is to modify the EoS. We show that there exists a family of EoS (for the nonideal gas) such that the classical entropy function is strictly convex. Under these new EoS, the reactive Euler equations are proved to satisfy the Conservation-Dissipation Conditions for general hyperbolic relaxation systems, which guarantee the existence of zero relaxation limit. Additionally, an elegant eigen-system of the Jacobian matrix is derived for the reactive Euler equations under the proposed EoS. Numerical experiments demonstrate that the proposed EoS can also generate ZND detonations. Extension of the present results to high dimensions is direct.
Quoi de neuf dans le diagnostic et le traitement des affections du larynx ?
Authors: Vercherin Anouk , Rossignol Fabrice
Published: August 2023

Les dysfonctionnements du larynx sont responsables d’une diminution des capacités respiratoires lors de l’effort. Les signes cliniques sont variables et se manifestent notamment par des bruits respiratoires anormaux, de la contre-performance, de l’intolérance à l’effort, voire des difficultés respiratoires au repos pour les cas les plus sévères. Le développement des différents outils diagnostiques permet aujourd’hui d’établir un diagnostic précis. Articulés de manière pertinente, ces examens permettent d’affiner le pronostic et d’opter pour un choix thérapeutique adapté à chaque cheval.