bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis of jet fuel and diesel range cycloalkanes with 2-methylfuran and benzaldehyde
Authors: Ren Guangzhi , Li Guangyi , Zhang Ying , Wang Aiqin , Wang Xiaodong , Cong Yu , Zhang Tao , Li Ning
Published: January 2022

Diesel and jet fuel range C12 and C17 cycloalkanes were synthesized for the first time with 2-methylfuran and benzaldehyde, two platform compounds which can be derived from lignocellulose.
Hard superellipse phases: particle shape anisotropy & curvature
Authors: Torres-Díaz Isaac , Hendley Rachel S. , Mishra Akhilesh , Yeh Alex J. , Bevan Michael A.
Published: January 2022

Computer simulations are reported for hard superellipse particle phases vs. aspect ratio and curvature. Findings indicate design rules for how shape determines diverse two-dimensional liquid, liquid crystalline, and crystalline microstructures.
Magnetic response of CoFe2O4 nanoparticles confined in a PNIPAM microgel network
Authors: Witt Marcus U. , Landers Joachim , Hinrichs Stephan , Salamon Soma , Kopp Juri , Hankiewicz Birgit , Wende Heiko , von Klitzing Regine
Published: January 2022

The paper addresses coupling of magnetic nanoparticles (MNPs) with the polymer matrix of temperature-sensitive microgels and their response to magnetic fields.
A review on dual-phase oxygen transport membranes: from fundamentals to commercial deployment
Authors: Kiebach Ragnar , Pirou Stéven , Martinez Aguilera Lev , Haugen Astri Bjørnetun , Kaiser Andreas , Hendriksen Peter Vang , Balaguer María , García-Fayos Julio , Serra José Manuel , Schulze-Küppers Falk , Christie Max , Fischer Liudmila , Meulenberg Wilhelm Albert , Baumann Stefan
Published: January 2022

This review summarizes recent progress on dual-phase oxygen transport membranes. Existing challenges, research strategies and future application areas are discussed.
Morphological tuning engineering of Pt@TiO2/graphene catalysts with optimal active surfaces of support for boosting catalytic performance for methanol oxidation
Authors: Zhang Kefu , Qiu Jun , Wu Juan , Deng Yongqi , Wu Yihan , Yan Lifeng
Published: January 2022

Pt@TiO2/graphene nanocomposite catalysts have been synthesized with boosted catalytic performance for methanol oxidation.
Approaching theoretical specific capacity of iron-rich lithium iron silicate using graphene-incorporation and fluorine-doping
Authors: Liu Tianwei , Liu Yadong , Yu Yikang , Ren Yang , Sun Chengjun , Liu Yuzi , Xu Jiayi , Liu Cong , Yang Zhenzhen , Lu Wenquan , Ferreira Paulo , Chao Zisheng , Xie Jian
Published: January 2022

Lithium iron silicate, Li2FeSiO4, is a promising cathode material for lithium ion batteries due to its high theoretical specific capacity, earth abundance, low cost, and environmental friendliness.
Bifunctional gas sensor based on Bi2S3/SnS2 heterostructures with improved selectivity through visible light modulation
Authors: Wang Tingting , Liu Jiaying , Zhang Yanling , Liang Qihua , Wu Ruozhen , Tsai Hsu-Sheng , Wang You , Hao Juanyuan
Published: January 2022

The Bi2S3/SnS2 heterostructure was synthesized and used as a bifunctional gas-sensing material through visible light modulation; it is ultrasensitive to NO2 under light irradiation but is highly selective to H2S in the dark.
High performance lithium ion electrolyte based on a three-dimensional holey graphene framework cross-linked with a polymer
Authors: Xu Jialiang , Meng Ying , Ding Qihan , Wang Rui , Gan Tian , Zhang Jiakui , Lin Zhiping , Xu Jiantie
Published: January 2022

A three-dimensional (3D) holey graphene (hG) cross-linked with PEO solid electrolyte endows lithium metal batteries with the increased transfer number and rapid diffusion of Li+.
Room temperature intrinsic diluted magnetic semiconductor Li(Cd,Mn)As
Authors: Li Yue , Ding Shoubing , Luo Yiying , Yu Peng , Cui Yuting , Wang Xiaotian , Cheng Zhenxiang , Wu Zhimin
Published: January 2022

Li1.04(Cd1−xMnx)As DMSs were synthesized by a high temperature solid state reaction method. A Curie temperature of 318 K has been achieved forx= 0.08. The hysteresis loops at different temperatures demonstrate room temperature ferromagnetism.
Heteroepitaxial growth and interface band alignment in a large-mismatch CsPbI3/GaN heterojunction
Authors: Liu Xueyin , Cao Dan , Yao Yizhou , Tang Pengtao , Zhang Mingsong , Chen Xiaoshuang , Shu Haibo
Published: January 2022

Heteroepitaxial growth of single-crystal CsPbI3 nanoplatelets on GaN substrate leads to the formation of a type-II CsPbI3/GaN heterojunction that significantly enhances the separation and extraction of free carriers inside CsPbI3.
Reconstitution of the DTX3L–PARP9 complex reveals determinants for high-affinity heterodimerization and multimeric assembly
Authors: Ashok Yashwanth , Vela-Rodríguez Carlos , Yang Chunsong , Alanen Heli I. , Liu Fan , Paschal Bryce M. , Lehtiö Lari
Published: January 2022

Ubiquitination and ADP-ribosylation are post-translational modifications that play major roles in pathways including the DNA damage response and viral infection. The enzymes responsible for these modifications are therefore potential targets for therapeutic intervention. DTX3L is an E3 Ubiquitin ligase that forms a heterodimer with PARP9. In addition to its ubiquitin ligase activity, DTX3L–PARP9 also acts as an ADP-ribosyl transferase for Gly76 on the C-terminus of ubiquitin. NAD+-dependent ADP-ribosylation of ubiquitin by DTX3L–PARP9 prevents ubiquitin from conjugating to protein substrates. To gain insight into how DTX3L–PARP9 generates these post-translational modifications, we produced recombinant forms of DTX3L and PARP9 and studied their physical interactions. We show the DTX3L D3 domain (230–510) mediates the interaction with PARP9 with nanomolar affinity and an apparent 1 : 1 stoichiometry. We also show that DTX3L and PARP9 assemble into a higher molecular weight oligomer, and that this is mediated by the DTX3L N-terminal region (1–200). Lastly, we show that ADP-ribosylation of ubiquitin at Gly76 is reversible in vitro by several Macrodomain-type hydrolases. Our study provides a framework to understand how DTX3L–PARP9 mediates ADP-ribosylation and ubiquitination through both intra- and inter-subunit interactions.
Identification of potential immunotherapy biomarkers for breast cancer by bioinformatics analysis
Authors: Song Yao , Lu Meiling , Feng Lijin , Chen Qian , Huang Hua , Lin Qing
Published: January 2022

Breast cancer is a serious malignancy with a high incidence worldwide and a tendency to relapse. We used integrated bioinformatics analysis to identify potential biomarkers in breast carcinoma in the present study. Microarray data, 127breast tumor samples and 23 non-tumor samples, received from the Gene Expression Omnibus (GEO) dataset; 121 differentially expressed genes (DEGs) were selected. Functional analysis using DAVID revealed that these DEGs were highly gathered in endodermal cell differentiation and proteinaceous extracellular matrix. Five bioactive compounds (prostaglandin J2, tanespimycin, semustine, 5182598, and flunarizine) were identified using Connectivity Map. We used Cytoscape software and STRING dataset to structure a protein–protein interaction (PPI) network. The expression of CD24, MMP1, SDC1, and SPP1 was much higher in breast carcinoma tissue than in Para cancerous tissues analyzed by Gene Expression Profiling Interactive Analysis (GEPIA) and ONCOMINE. Overexpression ofCD24, MMP1, SDC1, and SPP1 indicated the poor prognosis in breast carcinoma patients analyzed by Kaplan–Meier (KM) Plotter. Immunohistochemistry microarray was used to further confirm that protein expression of CD24, MMP1, SDC1, and SPP1 was much higher in tumor sections than in Para cancerous tissues. Hub genes expression at the protein level was correlated tothe breast cancer subtype and grade. Furthermore, immunity analysis showed that CD24, MMP1, SDC1, and SPP1 were potentially associated with five immune cell types infiltration (CD8+ T cells, CD4+ T cells, neutrophils, macrophages,and dendritic cells) by TIMER. Thus, this study indicates potential biomarkers that could have applications in the development of immune therapy for breast cancer. However, further studies are required for verifying these results in vivo and vitro.
How moonlight shapes environments, life histories, and ecological interactions on coral reefs
Authors: Shima Jeffrey S. , Osenberg Craig W. , Alonzo Suzanne H. , Noonburg Erik G. , Swearer Stephen E.
Published: January 2022

The lunar cycle drives variation in nocturnal brightness. For the epipelagic larvae of coral reef organisms, nocturnal illumination may have widespread and underappreciated consequences. At sea, the onset of darkness coincides with an influx of mesopelagic organisms to shallow water (i.e. ‘diel vertical migrants’) that include predators (e.g. lanternfishes) and prey (zooplankton) of zooplanktivorous coral reef larvae. Moonlight generally suppresses this influx, but lunar periodicity in the timing and intensity of nocturnal brightness may affect vertically migrating predators and prey differently. A major turnover of species occurs at sunset on the reef, with diurnal species seeking shelter and nocturnal species emerging to hunt. The hunting ability of nocturnal reef-based predators is aided by the light of the moon. Consequently, variation in nocturnal illumination is likely to shape the timing of reproduction, larval development, and settlement for many coral reef organisms. This synthesis underscores the potential importance of trophic linkages between coral reefs and adjacent pelagic ecosystems, facilitated by the diel migrations of mesopelagic organisms and the ontogenetic migrations of coral reef larvae. Research is needed to better understand the effects of lunar cycles on life-history strategies, and the potentially disruptive effects of light pollution, turbidity, and climate-driven changes to nocturnal cloud cover. These underappreciated threats may alter patterns of nocturnal illumination that have shaped the evolutionary history of many coral reef organisms, with consequences for larval survival and population replenishment that could rival or exceed other effects arising from climate change.
A graph convolutional neural network model with Fisher vector encoding and channel‐wise spatial‐temporal aggregation for skeleton‐based action recognition
Authors: Tang Jun , Wang Yanjiang , Fu Sichao , Liu Baodi , Liu Weifeng
Published: January 2022

Skeleton‐based action recognition is an inspired yet challenging task in computer vision. Recently, the latest graph convolutional network (GCN), which generalises well‐established convolutional neural networks to non‐Euclidean structures, is proven to be highly successful for action recognition from body skeleton data. However, the GCN architecture has not been fully studied. In this work, a Fisher vector (FV) encoding based GCN architecture (FV‐GCN) is proposed, which exceeds the limitations of existing GCN‐based methods by combining the GCN model with FV encoding. A channel‐wise spatial–temporal aggregation function to preserve spatial–temporal information in the whole action clip and integrate it into the FV‐GCN architecture is also presented. Since FV is different from the GCN structure, this hybrid architecture that incorporates the advantages of both algorithms can discover complementary information of feature representation effectively. On two challenging human action datasets, kinetics, and NTU‐RGBD, improved performance is demonstrated over the baseline method, and the FV‐GCN is better or comparable to some state‐of‐the‐art methods.
Compact triple‐broadband implantable antenna for multi‐functions in telemedicine
Authors: Fan Yi , Li ZhongXin , Liu XiongYing , Li XinNing , Xu Cao , Yang HongCai
Published: January 2022

A compact implantable antenna is designed to operate in the Medical Implant Communication Services (MICS; 402–405 MHz) band, 915‐MHz Industrial, Scientific, and Medical (ISM; 902–928 MHz) band, and 2.4‐GHz ISM (2.4–2.48 GHz) band; via the triple bands, the multi functions, such as biomedical data transferring, wireless energy supply, and control signal sending, can be implemented. By embedding symmetric slots in the radiation patch and introducing a shorting pin, multiple resonances are generated with −10‐dB simulated bandwidths of 76 MHz (369–445 MHz) at the MICS band, 45 MHz (891–936 MHz) at the 915‐MHz ISM band, and 1025 MHz (1930–2955 MHz) at the 2.45‐GHz ISM band. In addition, compact dimensions of 11.6 × 11.6 × 1.27 mm (170.89 mm3) are obtained with the simulated peak gains of −41.3 dBi, −23.5 dBi, and −28.7 dBi in the triple bands. To improve impedance matching of the proposed antenna in the upper band, two symmetric U‐shaped slots are etched in the ground. The fabricated antenna was tested in fresh pork, and the measured results agree well with those simulated in the phantom. Advantages of compact size and broad triple bands make the proposed antenna great potential for telemedicine applications.
Multi-phase gas properties of extremely strong intervening DLAs towards quasars
Authors: Ranjan A. , Srianand R. , Petitjean P. , Shaw G. , Sheen Y.-K. , Balashev S. A. , Gupta N. , Ledoux C. , Telikova K. N.
Published: January 2022

We present the results of a spectroscopic analysis of extremely strong damped Lyαabsorbers (ESDLAs; logN(H I) ≳ 21.7) observed with the medium resolution spectrograph, X-shooter at the Very Large Telescope (VLT). Recent studies in the literature indicate that ESDLAs probe gas from within the star-forming disk of the associated galaxies and thus ESDLAs provide a unique opportunity to study the interstellar medium of galaxies at high redshift. We report column densities (N), equivalent widths (w, for Mg IIand Ca IItransitions), and the kinematic spread (Δv90) of species from neutral (namely O I, Ar I, Cl I, N I, and Na I), singly ionised (Mg II, Ca II, S II, Ni II, Mn II, Ti II, and P II), and higher ionisation (C IV, Si IV, N V, and O VI) species. We estimate the dust-corrected metallicity measured using different singly ionised gas species such as P II, S II, Si II, Mn IIand Cr II, and Zn II. We find that, using the dust correction prescription, the measured metallicities are consistent for all mentioned species in all ESDLAs within 3σuncertainty. We further perform a quantitative comparison of column densities, equivalent widths, and kinematic spreads of ESDLAs with other samples that are associated with galaxies and detected in absorption along the line of sight towards high-redshift quasars (QSOs). We find that the distributions of the Ar Ito H Icolumn density ratio (N(Ar I)/N(H I)) in DLAs and ESDLAs are similar. We further report that ESDLAs do not show a strong deficiency of Ar Irelative to otherα-capture elements as is seen in DLAs. This supports the idea that the mentioned under-abundance of Ar Iin DLAs is possibly caused by the presence of background UV photons that penetrate the lowN(H I) clouds to ionise Ar I, but they cannot penetrate deep enough in the highN(H I) ESDLA environment. Thew(Mg II λ2796) distribution in ESDLAs is found to be similar to that of metal-rich C I-selected absorbers, but the velocity spread of their Mg IIprofile is different. The dust content (measured by modelling the quasar extinction) andw(Ca II λ3934) distributions are similar in ESDLAs and Ca II-selected absorbers, yet we do not see any correlation betweenw(Ca II λ3934) and dust content. The Δv90velocity spread of singly ionised species in ESDLAs is statistically smaller than that of DLAs. For higher ionisation species (such as C IVand Si IV) that trace the warm ionised medium, Δv90is similar in the two populations. This suggests that the ESDLAs sample a different H Iregion of their associated galaxy compared to the general DLA population. We further study theN(Cl I) distribution in high-redshift DLA and ESDLA sightlines, as Cl Iis a good tracer of H2gas. TheN(Cl I)−N(H2) correlation is followed by all the clouds (ESDLAs and otherwise) having logN(H2) < 22.
Account of the baryonic feedback effect in γ-ray measurements of intergalactic magnetic fields
Authors: Bondarenko K. , Boyarsky A. , Korochkin A. , Neronov A. , Semikoz D. , Sokolenko A.
Published: January 2022

Aims. Intergalactic magnetic fields in the voids of the large-scale structure can be probed via measurements of secondary γ-ray emission from γ-ray interactions with extragalactic background light. Lower bounds on the magnetic field in the voids were derived from the nondetection of this emission. It is not clear a priori what kind of magnetic field is responsible for the suppression of the secondary γ-ray flux: a cosmological magnetic field that might be filling the voids, or the field spread by galactic winds driven by star formation and active galactic nuclei.

Methods. We used IllustrisTNG cosmological simulations to study the effect of magnetized galactic wind bubbles on the secondary γ-ray flux.

Results. We show that within the IllustrisTNG model of baryonic feedback, galactic wind bubbles typically provide energy-independent secondary flux suppression at a level of about 10%. The observed flux suppression effect has to be due to the cosmological magnetic field in the voids. This might not be the case for the special case when the primary γ-ray source has a hard intrinsic γ-ray spectrum that peaks in the energy range above 50 TeV. In this case, the observational data may be strongly affected by the magnetized bubble that is blown by the source host galaxy.
X-ray characterisation of the massive galaxy cluster ClG J104803.7+313843 at z = 0.76 with XMM-Newton
Authors: Bartalucci I. , Gastaldello F. , Piconcelli E. , Zappacosta L. , Rossetti M. , Ghizzardi S. , De Grandi S. , Molendi S. , Laurenti M.
Published: January 2022

We present the characterisation of the massive cluster ClG J104803.7+313843 at z = 0.76 performed using a serendipitous XMM-Newton observation. High redshift and massive objects represent an ideal laboratory to benchmark our understanding of how clusters form and assembly formation is mainly driven by gravity. Leveraging the high throughput of XMM-Newton we were firstly able to determine the redshift of the object, shedding light on ambiguous photometric redshift associations. We investigated the morphology of this cluster which shows signs of merging activities in the outskirts and a flat core. We also measured the radial density profile up to R500. With these quantities in hand, we were able to determine the mass, M500 = 5.64−0.62+0.79 × 1014 M⊙, using the YX proxy. This quantity improves the previous measurement of the mass of this object by a factor of ∼3.5. The characterisation of one cluster at such a mass and redshift regime is fundamental as these objects are intrinsically rare, with the number of objects discovered so far being less than ∼25. Our study highlights the importance of using X-ray observations in combination with ancillary multi-wavelength data to improve our understanding of high-z and massive clusters.
A candidate short-period sub-Earth orbiting Proxima Centauri
Authors: Faria J. P. , Suárez Mascareño A. , Figueira P. , Silva A. M. , Damasso M. , Demangeon O. , Pepe F. , Santos N. C. , Rebolo R. , Cristiani S. , Adibekyan V. , Alibert Y. , Allart R. , Barros S. C. C. , Cabral A. , D’Odorico V. , Di Marcantonio P. , Dumusque X. , Ehrenreich D. , González Hernández J. I. , Hara N. , Lillo-Box J. , Lo Curto G. , Lovis C. , Martins C. J. A. P. , Mégevand D. , Mehner A. , Micela G. , Molaro P. , Nunes N. J. , Pallé E. , Poretti E. , Sousa S. G. , Sozzetti A. , Tabernero H. , Udry S. , Zapatero Osorio M. R.
Published: January 2022

Context. Proxima Centauri is the closest star to the Sun. This small, low-mass, mid M dwarf is known to host an Earth-mass exoplanet with an orbital period of 11.2 days within the habitable zone, as well as a long-period planet candidate with an orbital period of close to 5 yr.

Aims. We report on the analysis of a large set of observations taken with the ESPRESSO spectrograph at the VLT aimed at a thorough evaluation of the presence of a third low-mass planetary companion, which started emerging during a previous campaign.

Methods. Radial velocities (RVs) were calculated using both a cross-correlation function (CCF) and a template matching approach. The RV analysis includes a component to model Proxima’s activity using a Gaussian process (GP). We use the CCF’s full width at half maximum to help constrain the GP, and we study other simultaneous observables as activity indicators in order to assess the nature of any potential RV signals.

Results. We detect a signal at 5.12 ± 0.04 days with a semi-amplitude of 39 ± 7 cm s−1. The analysis of subsets of the ESPRESSO data, the activity indicators, and chromatic RVs suggest that this signal is not caused by stellar variability but instead by a planetary companion with a minimum mass of 0.26 ± 0.05 M⊕ (about twice the mass of Mars) orbiting at 0.029 au from the star. The orbital eccentricity is well constrained and compatible with a circular orbit.
TRAPPIST-1: Dynamical analysis of the transit-timing variations and origin of the resonant chain
Authors: Teyssandier J. , Libert A.-S. , Agol E.
Published: January 2022

We analyze solutions drawn from the recently published posterior distribution of the TRAPPIST-1 system, which consists of seven Earth-size planets appearing to be in a resonant chain around a red dwarf. We show that all the planets are simultaneously in two-planet and three-planet resonances, apart from the innermost pair for which the two-planet resonant angles circulate. By means of a frequency analysis, we highlight that the transit-timing variation (TTV) signals possess a series of common periods varying from days to decades, which are also present in the variations of the dynamical variables of the system. Shorter periods (e.g., the TTVs characteristic timescale of 1.3 yr) are associated with two-planet mean-motion resonances, while longer periods arise from three-planet resonances. By use of N-body simulations with migration forces, we explore the origin of the resonant chain of TRAPPIST-1 and find that for particular disc conditions, a chain of resonances – similar to the observed one – can be formed which accurately reproduces the observed TTVs. Our analysis suggests that while the 4-yr collected data of observations hold key information on the two-planet resonant dynamics, further monitoring of TRAPPIST-1 will soon provide signatures of three-body resonances, in particular the 3.3 and 5.1 yr periodicities expected for the current best-fit solution. Additional observations would help to assess whether the innermost pair of planets is indeed resonant (its proximity to the 8:5 resonance being challenging to explain), and therefore give additional constraints on formation scenarios.
Progress in climate change adaptation and mitigation actions in sub-Saharan Africa farming systems
Authors: Afokpe Pamela M.K. , Phiri Austin T. , Lamore Alemayehu Abebe , Toure Howele M.A.C. , Traore Rokiatou , Kipkogei Oliver
Published: January 2022

This paper reviews the progress in climate change adaptation and mitigation actions in sub-Saharan Africa farming systems. Farmers, organizations and Governments in the region have developed policies and innovations to adapt to and mitigate the impacts of climate change. It appears that the developed and implemented innovative adaptive farming systems and technologies have culminated into resultant overall productivity improvement in farming systems, necessitating scaling up in order to widely strengthen the resilience and adaptive capacity of vulnerable communities to the impacts of climate change. Additionally, climate governance instruments that are aligned to the ratified international treaties have been developed and related programs have been rolled out in different countries. This offers hope for well-coordinated efforts and interventions for the mitigation and adaptation to the adverse impacts of climate change on the environment and livelihoods. Observably, there is a pressing need to scale up climate smart innovations sustainably through creation of an enabling policy environment, capacity building, and conducting climate change related research and outreach, and effective dissemination of climate technologies and information, especially in remote areas in the region. Since climate change is a global issue, local initiatives and actions for mitigating and adapting to the adverse impacts ought to be well integrated into the broader international context.
Oil palm crop: state and gaps of research and technological development at global scale, Latin America and Mexico
Authors: Lagunes-Espinoza Luz del Carmen , Vazquez-Navarrete César Jesús , Rincón-Ramirez Joaquín Alberto , Halvorsen Kathleen E.
Published: January 2022

Oil palm plantations face important challenges in terms of balancing agricultural productivity and environmental sustainability. This research synthesis aims to answer key questions regarding the state and knowledge gaps of oil palm (OP) research and technological development (R&D) at a global scale, in Latin America and in Mexico, using all Web of Science® databases and agriculture categories and time spans between 1960 and 2018. Three thousand nine hundred and forty-eight publications were analysed. The research themes started with the generation of agronomic knowledge in 1960. Since 1963, studies in Latin America have focused on yield improvement; since 2010, topics related to agroecology, product quality, health issues, biodiversity, conservation impacts, and biofuel uses have been widely integrated, although some relevant themes are lacking. In addition, considering the high domestic demand for crude palm oil and great available natural resources, few Mexican institutions have participated in publications registered in Web of Science (WOS) on this topic. This research proposes a quick exploratory and reliable instrument for evaluating the agronomic interest of any agricultural production system.
Prediction of The Behavior of Bio-Loaded Flexible PVC by Chicken Feathers with Artificial Neural Networks
Authors: Lakhdar Abdelghani , Moumen Aziz , Laabid Zineb , Mansouri Khalifa
Published: January 2022

The infinite needs of humanity in several fields give birth to several innovations, in materials sciences, these needs are summed up in the creation of new composite materials. Obtaining a composite material from recycled material and a bio-load first of all makes it possible to recover the recycled material and to have new composite material. PVC is one of the most used plastics in recent years, the addition, after recycling, of a bio-load in the form of chicken feathers which are just lost in nature or incinerated, allows the birth of new composite material. In this article, we use neural networks which appear to be among the essential methods to solve and model complex systems, and in particular when it comes to non-linear problems. This method will be used in comparison with the finite element method to find the most adequate method which makes it possible to better model the behaviors of PVC bio-loaded by chicken feathers, and then predict the behaviors with different percentages of the bio-load. We took the results of the experiments carried out, with those of the study of finite elements, and with the results obtained by the neural networks which will be presented in this article, to find the model which makes it possible to better present and predict the behavior of the recycled PVC bio-loaded with an adequate percentage which improves the mechanical characteristics of this type of composite material. The error between the experimental results and those obtained by the neural networks is very small compared to the differences between the two experimental results and those obtained by the finite elements. Which proves that the neural network model is an important computer tool for modeling and predicting the results of mechanical experiments
Heat and power plant chimneys thermal inspection with an infrared camera
Authors: Stokowiec Katarzyna , Kotrys-Działak Dagmara , Mochocka Dominika , Sokołowski Marcin
Published: January 2022

Thermography is getting more and more popular in many fields of everyday life nowadays. It is successfully applied in heat investigations. Infrared cameras imaging includes thermal analyses of building physics, thermal bridges or insulation improvement inspection. Flir E30 infrared camera was used in order to conduct measurements of two chimneys located in Kielce Power Station in Poland. The first tested facility is a structural steel chimney thermally isolated with mineral wool. The other chimney is built of reinforced concrete material. An infrared camera tests enabled the creation of the diagrams presenting the temperature distribution along the chimneys in different orientations. The research proved the correct functioning of both chimneys.
DFT study on electronic and optical properties of graphene under an external electric field
Authors: Najim Abdelhafid , Bajjou Omar , Boulghallat Mustapha , Rahmani Khalid , Moulaoui Lhouceine
Published: January 2022

The paper investigates the electronic and optical properties of graphene, under the external electric field (Eext) according to perpendicular direction, using density functional theory (DFT). Applying the Eext to the graphene sheet modifies its electronic and optical properties, including the band gap energy, total density of states (TDOS), absorption coefficient, dielectric function, and refractive index. Graphene’s band gap is opened by the application of Eext to its structure. As a result of the effect of Eext on graphene layer, its absorption coefficient increases in the ultraviolet (UV) range and decreases in the visible range. We found that the electronic and optical properties of graphene material, can be altered by a perpendicular excitation applied to its structure.
Optimal design of an horizontal axis wind turbine using blade element momentum theory
Authors: Radi Jinane , Djebli Abdelouahed
Published: January 2022

The aerodynamic modelling of the wind turbine blades is a vital step in the design of the turbine. Several design methods are available for the aerodynamic design of the rotor, however, in this study a mathematical model based on blade element momentum concept is applied. the purpose of this work is to optimize the distribution of chord and twist angle along the blade span of a 20 KW HAWT using the BEM method, the blade design parameters such as the optimum lift and drag coefficient , chord and twist angle, the axial induction factor(a) and the angular induction factor(a’) of the designed HAWT are codified and estimated using the MATLAB software. The results of the analysis show on the one hand a decrease in chord length and twist angle along the blade length and on the other hand the maximum values that can be achieved by the axial and angular inductions factors are respectively 0.3325 and 0.175. This approach can be effectively implemented for the analysis of HAWTs operating at different characteristics of the designed blade.
The use of a photovoltaic system in a single family house in Poland – case study
Authors: Rej-Witt Marta , Dębska Luiza
Published: January 2022

Renewable energy is becoming widely used all over the world nowadays. More single-family houses use such sources to generate heat and electricity. The article presents a case study of a house located in central Poland, in which a photovoltaic system was used, additionally with other renewable sources, such as a small wind turbine, biomass boiler and solar panels. The article describes the advantages of using renewable energy sources in the building sector considered and presents the results of experimental studies of electricity generation in a given period of time with their analysis. It turned out that the production of electricity using photovoltaic panels in autumn can support high electricity demand at this time.
Assessment of light intensity and productivity in the intelligent building – case study
Authors: Białek Anita , Dębska Luiza , Krawczyk Natalia
Published: January 2022

The paper focuses on important elements i.e. appropriate lighting conditions at workstations and the assessment of subjective productivity as a function of indoor environmental parameters, using the example of students in the intelligent building “Energis” at the Kielce University of Technology, where an experimental study was performed. A group of volunteers completed questionnaires about their subjective feelings related to lighting conditions in lecture halls at different times of the year and assessed their current productivity. Accurate physical measurements of illuminance with a high accuracy microclimate meter were carried out. Comparing the statements of the room users with the measurements allowed conclusions to be drawn about the conditions provided in the intelligent building related to lighting, as well as the impact of the working environment on the productivity of the room users. The findings provide valued information on lighting conditions in modern, intelligent buildings, which are becoming increasingly common around the world, for various purposes such as office, educational and other public buildings, so that appropriate indoor conditions can be used to optimise productivity and efficiency.
Numerical investigation of solar energy storage by a salt gradient solar pond in several Moroccan cities
Authors: Nait Brahim Abdessamad , Rghif Yassmine , Bahraoui Fatima
Published: January 2022

Numerical investigation of solar energy storage by a Salt Gradient Solar Pond (SGSP) in several Moroccan cities (Marrakesh, Ouarzazate, Tangier and Ifrane) is presented in this paper. For this purpose, the SGSP considered is assimilated to an open parallelipedic cavity in which the vertical and bottom walls are thermally insulated. The one-dimensional numerical model developed in Python programming language is based on the energy balance of each SGSP zone in which the heat losses via the SGSP free surface are retained. The numerical results obtained from the model developed are satisfactorily compared and validated against those obtained experimentally and numerically from a literature study. According to the results of one year of the SGSP operation, the storage zone temperature and the energy stored in the SGSP located in Ouarzazate city are the highest and reach maximum values in July (about 128 °C and 146 MJ respectively). Moreover, comparisons between different mass flow rates (0.01 Kg/s, 0.05 Kg/s and 0.09 Kg/s) of heat exchanger placed in the storage zone show that the optimal one is 0.09 Kg/s as it ensures the maximum energy extraction.
Environmental radioactivity measurement in soils of an abandoned potash deposit at Holle, Republic of Congo
Authors: Moubakou Diahou Russel Rolphe Caroll , Bounouira Hamid , Dallou Guy Blanchard , Cherkaoui El Moursli Rajâa , Bouka Biona Clobite
Published: January 2022

The main objective of the present study was to assess natural radioactivity level from soils of an abandoned potash mine and its surroundings at Holle locality in Hinda district, the Republic of Congo. Samples were analyzed using an HPGe gamma spectrometer. Activity concentration values obtained varied from 21.01 ± 6.47 to 117.3 ± 2.69 Bq/kg with a mean value of 46.15 ± 4.69 Bq/kg of 40K; that of 238U varied from 17.36 ± 10.74 to 40.04 ± 8.58 Bq/kg with a mean value of 25.14 ± 10.06 Bq/k, while that of 232Th varied from 8.68 ± 3.7 to 27.33 ± 2.69 Bq/kg with a mean value of 18.16 ± 2.94 Bq/kg. Mean activity concentration values obtained for 238U, 232Th and 40K were relatively low compared to the world average values. Radiological hazard indices associated were also calculated and found to be under recommended limits. Results pointed out that radioactivity level in the region was relatively low. Consequently, soils of the surrounding abandoned potash mine can be used for buildings construction.
Wind Speed Prediction Based on Seasonal ARIMA model
Authors: Tyass Ilham , Bellat Abdelouahad , Raihani Abdelhadi , Mansouri Khalifa , Khalili Tajeddine
Published: January 2022

Major dependency on fossil energy resources and emission of greenhouse gases are common problems that have a very harmful impact on human communities. Thus, the use of renewable energy resources, such as wind power, has become a strong alternative to solve this problem. Nevertheless, because of the intermittence and unpredictability of the wind energy, an accurate wind speed forecasting is a very challenging research subject. This paper addresses a short-term wind speed forecasting based on Seasonal Autoregressive Integrated Moving Average (SARIMA) model. The forecasting performances of the model were conducted using the same dataset under different evaluation metrics in terms of Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) performance evaluation metrics. The obtained results denote that the used model achieves excellent forecasting accuracy.
Flying capacitors multilevel inverter: architecture, control and active balancing
Authors: Bouamrane Omar , Khalili Tajeddine , Tyass Ilham , Rafik Mohamed , Raihani Abdelhadi , Bahati Lhoussain , Benhala Bachir
Published: January 2022

To improve efficiency and productivity of electric energy generators based on photovoltaic, wind or hybrid systems; several DC/AC conversion techniques have been developed and tested like multilevel inverters. Multilevel inverters are a performant solution for the ramp-up of converters. As soon as the DC supply voltage exceeds a few kV, it is necessary to combine switches, switching cells or converters. This paper presents a progressive study of an interesting type of these inverters namely flying capacitor multilevel inverters (FCMLI): architecture, evolutions, benefits and inconvenient. In fact, we processed 3-and 5-level FCMLI while presenting possible circuit schemes and simulation results on Matlab Simulink. Finally, a general formulation has been adopted and applied to a 17 level FCMLI.
Energy Consumption Patterns and Inter-Appliance Associations using Data Mining Techniques
Authors: Abdelfattah Abassi , Ahmed Arid , Maha Laraki , Hussain Ben-Azza
Published: January 2022

In this paper, we propose to model the behaviors of Moroccan consumers in terms of energy consumption in different Moroccan buildings using the open MORED (A Moroccan Building Electricity Dataset) dataset as a data warehouse. The techniques used are Machine Learning Algorithms and Data Mining Techniques. The results obtained in this paper allow us to understand the behavior of a Moroccan consumer in terms of energy consumption and the use of appliances in the home. Inter-Appliance Association and Peak Hours detected in this study will be used later to develop an Energy Management System specifically for a Moroccan building. This can lay the foundation for efficient Energy Demand Management while improving end-user participation.
Electronic and nonlinear optical properties of doped/undoped graphene via coronene based models: a DFT study
Authors: El Masfioui M. , Bahsine S. , Elbiyaali A. , Allali F.
Published: January 2022

Coronene C24H12 can be considered as graphene nanoflakes. This aromatic hydrocarbon allows for detailed calculations and the rapid evaluation of a variety of doped structures while maintaining the periodic aromaticity of graphene. In this study, through density functional theory (DFT) at the B3LYP (BECKE 3-PARAMETER LEE-YANG-PARR) functional with a 6-31G (d) basis set, we have investigated the effects of substituting carbon atoms with B, N, and O on the electronic structure, linear and nonlinear optical properties of graphene.

Therefore, we found that the bandgap varies as a function of the considered structure.
Numerical development of lead-free Cs2TiI6-based perovskite solar cell via SCAPS-1D
Authors: Chabri Ilyas , Oubelkacem Ali , Benhouria Youness
Published: January 2022

Because of the toxicity and stability concerns, commercialization of lead-based perovskite solar cells (PSCs) is limited. Solar cells made entirely of Ti-based all-inorganic perovskite could be a viable answer to these issues. This paper is a theoretical paper on a perovskite solar cell (PSC) based on Cs2TiI6 using all-inorganic charge transport materials. We proposed a high performance perovskite solar cell (PSC) according to variables such as charge transport materials and its optimal thicknesses, absorber thickness, absorber defect density and interface defect density and working temperature. The optimal absorber thickness, Hole transport layer (HTL) thickness, and Electron transport layer (ETL) thickness are 500 nm, 50 nm, and 10 nm, respectively. After analyzing the other factors, we ended up with a high-performance PSC with a power conversion efficiency of 22.5% at room temperature and 22.84% at 270 K. These results are useful for the conception and manufacture of PSCs.
Supervised Classification Of induction Motors faults
Authors: El bouisfi Radouane , El Menzhi Lamiaa , Chiementin Xavier
Published: January 2022

Currently, the environmental challenges have been considered as a strategic issue for most industrial companies around the world, threatening their sustainability and profit; This leads to taking the environmental dimensions seriously and preserving natural resources well, since they are a key criterion for sustainable development. In this context, this work calls for innovative solution and new technologies to support the development and integration of environmental considerations through the implementation of an automated fault detection and diagnosis system in induction machines in order to minimize downtime, increase machine utilization rate, get an idea of remaining machine life based on artificial intelligence (AI) and the analysis of collected data. Using the Pattern Recognition methods, this system aims to support decision making in terms of defect classification, through the following process: the collection of relevant data about the stator currents of two induction machines, powered by a converter, one healthy and the other defective, through the CompactRIO device, then the analysis of the data, using programs developed under LabVIEW software, and the extraction of the indicators to form a database. Based on analysis results, several intelligent methods by classification algorithms can organize the acquired data in order to automate the diagnostic process. Ultimately, the set-up of an alert system to prevent rather than cure. The outcomes showed that the integration of predictive maintenance could help achieve an energy cost recovery equal to10% of the total costs of an electric motor system. Hence, the premature detection of faults helps to minimize energy expenditure and achieve overall cost savings, which implies energy optimization.
Parameters Identification of Synchronous Machine Based on Particale Swarm Optimization
Authors: Elrachid Bendaoud , Hammoud Radjeai , Oussama Boutalbi
Published: January 2022

This paper, deals with a meta-heuristic method, the Particle Swarm Optimization (PSO), for operational parameters identification of synchronous machine. The considered method consists of minimizing quadratic criterion that represents the difference between simulated model at standstill frequency response output and those computed from the model to be identified. The obtained results by simulation show that the method based on particle swarm optimization is efficient in terms of convergence speed and gives optimal solution.
A Deep Learning Approach to Manage and Reduce Plastic Waste in the Oceans
Authors: El zaar Abdellah , Aoulalay Ayoub , Benaya Nabil , El mhouti Abderrahim , Massar Mohammed , El allati Abderrahim
Published: January 2022

The accumulation of plastic objects in the Earth’s environment will adversely affect wildlife, wildlife habitat, and humans. The huge amount of unrecycled plastic ends up in landfill and thrown into unregulated dump sites. In many cases, specifically in the developing countries, plastic waste is thrown into rivers, streams and oceans. In this work, we employed the power of deep learning techniques in image processing and classification to recognize plastic waste. Our work aims to identify plastic texture and plastic objects in images in order to reduce plastic waste in the oceans, and facilitate waste management. For this, we use transfer learning in two ways: in the first one, a pre-trained CNN model on ImageNet is used as a feature extractor, then an SVM classifier for classification, the second strategy is based on fine tuning the pre-trained CNN model. Our approach was trained and tested using two (02) challenging datasets one is a texture recognition dataset and the other is for object detection, and achieves very satisfactory results using two (02) deep learning strategies.
A novel real-time monitoring system for a PVWPS
Authors: Sallem Amine , Soubeiga Jean Marie , Abi Soufiane , Benhala Bachir , Masmoudi Nouri
Published: January 2022

The Tunisian Solar Plan, a renewable energy development plan elaborated by the government, foresees a 30% share of renewable in the electricity mix by 2030. The solar photovoltaic capacity that can be installed for pumping water for irrigation is estimated at 24 MW by 2030. The water pumping system in the agricultural sector is considered among the main processes requiring the use of photovoltaic solar energy particularly in areas without an electric grid. The Photovoltaic Water Pumping System (PVWPS) contributes, in addition to the optimization of water pumping, to improve their energy performance in order to reduce their water consumption for irrigation. In Tunisia, PVWPS was adopted by the Ministry of Agriculture as a trustworthy alternative solution to cover the potable water needs of people in faraway areas, particularly in southern Tunisia. A novel real-time monitoring system for a PVWPS is proposed in this paper. The purpose of the monitoring system is to provide a useful tool for the operation and management of the PVWPS using the MODBUS communication protocol and the SIM900 module connected to ARDUINO to extend the control of the PV inverter to a distance greater than 1800m.
Simple Approximation of the Magnetic Induction Inside High Voltage Overhead Transmission Lines
Authors: Houicher Salah-Eddine , Djekidel Rabah , Bessidik Sid-Ahmed
Published: January 2022

With the development of electrical power transmission networks, are resulted the increase and continuous consumption of various power production sources, this is what requires the large quantities of energy construction. The increased demand in electric power employment has generated an raised of operating voltage for transmission lines (HV and VHV). The high voltage overhead transmission lines create electric and magnetic fields, and therefore have elevated serious concern questions about their possible potential effects in human body and environmental great associated with the resulting higher levels of electromagnetic fields strength around these power lines. The accurate evaluation of extremely low frequency electromagnetic fields influences produced by the high voltage overhead power lines on human health and the environment are well very known and analysed in several research works and simulation study projects. In this paper we precise examine and present a methodology for plot the lateral profile of magnetic field distribution in close a three-phase overhead transmission line in single circuit flat horizontal configuration at height 1m above the ground level, In order show the essentials factors affecting in the magnetic fields intensity under and in the vicinity of high voltage overhead transmission line in any point of space surface and ground plane, the analytique calculation results of the lateral profile of magnetic flux density behaviour are obtained by program MATLAB software, which makes it possible better analyser and easy represent the transverse profile of the magnetic field around electric power transmission lines, the numerique simulation results are based in image method and the superposition theorem.