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petrographic and Geochemical Characters of Granites of the Banfora Belt, Burkina Faso (West Africa)

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International Journal of Geosciences 2024年第9期15卷 682-697页

作者： Abdoulaye Ouedraogo Seta Naba Hermann ilboudo Laboratoire Gosciences et Environnement (LaGE) Dpartement des Sciences de la Terre Unit de Formation et de Recherche en Sciences de la Vie et de la Terre Universit Joseph KI-ZERBO Ouagadougou Burkina Faso Bureau des Mines et de la Gologie du Burkina (BUMIGEB) Ouagadougou Burkina Faso

The Banfora’s birimian greenstones belt is located in the western part of Burkina Faso (west Africa). Recent petrographic and lithogeochemical studies have highlighted plutons intruding the metasedimentary and metavolcanic series. These plutonic rocks are composed of leucogranites belonging to the so-called Ferkessedougou’s or Ferké’s batholith, granites, granodiorites, monzodiorites and quartz monzonites. From the lithogeochemical studies, these plutonic rocks have a calc-alkaline and peraluminous character. The rare earth elements spectra of the Ferké’s leucogranites let distinguished two sub-facies. One of the sub-facies is composed of quartz monzonite to granite, while the other is granitic sensu stricto. However, all these plutonic rocks were emplaced in a geodynamic context of subduction followed by collision.

关键词： Burkina Faso Banfora Greenstones Belt plutons Geodynamic Context Subduction

Study of Some Biodemographic parameters of Caryedon serratus Olivier (Coleoptera: Chrysomelidae) Insect pest of Tamarind (Tamarindus indica Lin.) Fruit, in Burkina Faso

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Advances in Entomology 2024年第2期12卷 67-77页

作者： Kilo Francine Marina Ki Koï Wenceslas Kam Emmanuel Kabore Antoine Sanon Zakaria ilboudo Laboratoire d’Entomologie Fondamentale et Appliqué e (LEFA) UFR/SVT Universit&eacute Joseph KI-ZERBO Ouagadougou Burkina Faso Institut Supé rieur du D&eacuteveloppement Durable Universit&eacute de Fada N’gourma Fada N’gourma Burkina Faso

The lack of food security leads us to turn to the riches of the forest, namely non-timber forest products (NTFp) and timber forest products (TFp). In Burkina, these products are a source of income for families, improving their living conditions. Tamarindus indica L. that is a NFTp, is widely used in both rural and urban areas. Unfortunately, tamarind is subject to attack by Caryedon serratus. Its biological activity begins on the fruit before the harvest. The aim of our study is to evaluate some biodemographic parameters of the insect pest C. serratus Olivier. First100 healthy T. indica pods were placed in contact with ten pairs of C. serratus for 24 hours. 25 pods, each carrying a maximum of two eggs, were divided into five batches of 5 pods. Then a pair of C. serratus aged less than 24 h was placed in contact with 4 healthy pods for 24 h. Every day, the pair was removed and transferred to another box containing 4 new healthy pods. A total of 20 replicates were performed. The results showed that C. serratus has an average lifespan of 14 days. However, the female (16 days) lived longer and laid an average of 34 eggs during her lifetime. The egg-laying period lasted 14 days, the number of eggs increased until reaching a maximum peak on the 4p>thp> day. C. serratus has an embryonic development time of 3 days and an emergence rate of 66.63%. However, the weight of males and females differed significantly (p = 0.0108). We found an intrinsic rate of natural increase of 0.12 and a population doubling time was 5.68 days. These results have enabled us to gain a better understanding of its development cycle and its capacity for regeneration. This allows us to implement control strategies for better stock protection.

关键词： Biodemographic parameters Stock Caryedon serratus Tamarindus indica

Numerical Models and Methods of Atmospheric parameters Originating in the Formation of the Earth’s Climatic Cycle

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Atmospheric and Climate Sciences 2024年第2期14卷 277-286页

作者： Wend Dolean Arsène ilboudo Kassoum Yamba Windé Nongué Daniel Koumbem Issaka Ouédraogo Dé partement Energie Institut de Recherche en Sciences Appliqu&#233es et Technologies (IRSAT) Ouagadougou Burkina Faso Unité de Formation et de Recherche en Sciences Exactes et Appliqu&#233es Universit&#233 Joseph KI-ZERBO Ouagadougou Burkina Faso

Atmospheric models are physical equations based on the ideal gas law. Applied to the atmosphere, this law yields equations for water, vapor (gas), ice, air, humidity, dryness, fire, and heat, thus defining the model of key atmospheric parameters. The distribution of these parameters across the entire planet Earth is the origin of the formation of the climatic cycle, which is a normal climatic variation. To do this, the Earth is divided into eight (8) parts according to the number of key parameters to be defined in a physical representation of the model. Following this distribution, numerical models calculate the constants for the formation of water, vapor, ice, dryness, thermal energy (fire), heat, air, and humidity. These models vary in complexity depending on the indirect trigonometric direction and simplicity in the sum of neighboring models. Note that the constants obtained from the equations yield 275.156˚K (2.006˚C) for water, 273.1596˚K (0.00963˚C) for vapor, 273.1633˚K (0.0133˚C) for ice, 0.00365 in/s for atmospheric dryness, 1.996 inp>2p>/s for humidity, 2.993 inp>2p>/s for air, 1 J for thermal energy of fire, and 0.9963 J for heat. In summary, this study aims to define the main parameters and natural phenomena contributing to the modification of planetary climate. .

关键词： Atmospheric parameter 1 Climatic Cycle 2 Numerical Models 3

Acute Toxicity and Anthelmintic Effects of Gomphrena serrata L. (Amaranthaceae) Extracts on Adult Worms and Eggs of Haemonchus contortus

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pharmacology & pharmacy 2024年第5期15卷 207-221页

作者： Hippolyte Ouedraogo Mohamed Bonewendé Belemlilga Aristide Traore Gilchrist Abdoul Laurent Boly Félicité Moyenga Gueswindé Geoffroy Ouedraogo Sylvain ilboudo Lazare Belemnaba Sylvin Ouedraogo Laboratoire de Recherche-Dé veloppement de Phytom&#233dicaments et M&#233dicaments (LR-D/PM) Institut de Recherche en Sciences de la Sant&#233 (IRSS) Centre National de la Recherche Scientifique et Technologique (CNRST) Ouagadougou Burkina Faso Laboratoire de Dé veloppement du M&#233dicament (LADME) Centre de Formation deRecherche et d&#8217Expertises en Sciences du M&#233dicament (CEA-CFOREM) &#201cole Doctorale Sciences de la Sant&#233 (ED2S) Universit&#233 Joseph KI-ZERBO Ouagadougou Burkina Faso International Research Laboratory-Environnement Sant&#233 Soci&#233t&#233s (IRL 3189 ESS) CNRS/CNRST/UCAD/UGB/USTTB Ouagadougou Burkina Faso

Gomphrena serrata L. (Amaranthaceae) is a medicinal plant widely used traditionally in rural areas to treat many diseases, including gastrointestinal helminthiasis of small ruminants. This work aims to estimate the plant extracts phytochemical potential and study the activities of the aqueous decoction (GS_AD), aqueous macerate (GS_AM), and hydroalcoholic macerate (GS_HEM) of Gomphrena serrata extracts on two developmental stages (eggs and adult worms) of Haemonchus contortus. phytochemical screening was carried out. The acute toxicity test was performed according to the Organisation for Economic Co-operation and Development (OECD) test guideline 423. The Haemonchus contortus eggs hatching inhibition test was performed left to incubate for 48 hours in the presence of the different plant extracts at increasing concentrations of 0.125;0.25;0.5;0.625;1;2;3 mg/mL. For the motility inhibition test on adult worms, the worms were contacted with the extracts at concentrations of 0.75;1;1.25;1.5;2;3;4 mg/mL and left to incubate for 24 hours. Albendazole and levamisole were used as standard. phytochemical screening revealed the presence of tannins, saponins, reducing compounds, coumarins and derivatives, anthocyanins, steroids, triterpenes, and flavonoids. An acute toxicity study showed that the oral LD50 value of G. serrata was estimated to be 5000 mg/kg. All extracts showed an effect on both stages of parasite development. The hatching inhibition rate was 100% from 3 mg/mL for all three extracts. The rate of inhibition of motility was 100% from 4 mg/mL for each extract. HEM is more efficient on eggs and Haemonchus contortus adult worms than other extracts with IC50 of 0.457 mg/mL and LC50 of 1.329 mg/mL, respectively. These results suggest that Gomphrena serrata, a plant used by farmers, has anthelmintic properties.

关键词： Gomphrena serrata Haemonchus contortus Anthelmintic In Vitro

Enhanced entropy generation and heat transfer characteristics of magnetic nano-encapsulated phase change materials in latent heat thermal energy storage systems

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Applied Mathematics and Mechanics(English Edition) 2024年第6期45卷 1051-1070页

作者： p.S.REDDY p.SREEDEVI Department of Mathematics Rajeev Gandhi Memorial College of Engineering and TechnologyNandyal 518501India

The objective of the current study is to investigate the importance of entropy generation and thermal radiation on the patterns of velocity,isentropic lines,and temperature contours within a thermal energy storage device filled with magnetic nanoencapsulated phase change materials(NEpCMs).The versatile finite element method(FEM)is implemented to numerically solve the governing *** effects of various parameters,including the viscosity parameter,ranging from 1 to 3,the thermal conductivity parameter,ranging from 1 to 3,the Rayleigh parameter,ranging from 102 to 3×10^(2),the radiation number,ranging from 0.1 to 0.5,the fusion temperature,ranging from 1.0 to 1.2,the volume fraction of NEpCMs,ranging from 2%to 6%,the Stefan number,ranging from 1 to 5,the magnetic number,ranging from 0.1 to 0.5,and the irreversibility parameter,ranging from 0.1 to 0.5,are examined in detail on the temperature contours,isentropic lines,heat capacity ratio,and velocity ***,the heat transfer rates at both the cold and hot walls are analyzed,and the findings are presented *** results indicate that the time taken by the NEpCMs to transition from solid to liquid is prolonged inside the chamber region as the fusion temperatureθf ***,the contours of the heat capacity ratio Cr decrease with the increase in the Stefan number Ste.

关键词： volume fraction of nano-encapsulated phase change material(NEpCM) radiation Stefan number heat capacity ratio entropy generation

A Hybrid Optimization Approach of Single point Incremental Sheet Forming of AISI 316L Stainless Steel Using Grey Relation Analysis Coupled with principal Component Analysiss

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Journal of Wuhan University of Technology(Materials Science) 2024年第1期39卷 160-166页

作者： A Visagan p Ganesh Department of production Technology Madras Institute of TechnologyChennai-600044India

We investigated the parametric optimization on incremental sheet forming of stainless steel using Grey Relational Analysis(GRA) coupled with principal Component Analysis(pCA). AISI 316L stainless steel sheets were used to develop double wall angle pyramid with aid of tungsten carbide tool. GRA coupled with pCA was used to plan the experiment conditions. Control factors such as Tool Diameter(TD), Step Depth(SD), Bottom Wall Angle(BWA), Feed Rate(FR) and Spindle Speed(SS) on Top Wall Angle(TWA) and Top Wall Angle Surface Roughness(TWASR) have been studied. Wall angle increases with increasing tool diameter due to large contact area between tool and workpiece. As the step depth, feed rate and spindle speed increase,TWASR decreases with increasing tool diameter. As the step depth increasing, the hydrostatic stress is raised causing severe cracks in the deformed surface. Hence it was concluded that the proposed hybrid method was suitable for optimizing the factors and response.

关键词： single point incremental forming AISI 316L taguchi grey relation analysis principal component analysis surface roughness scanning electron microscopy

Antibacterial, Anti-Inflammatory and Antioxidant Activities of an ACAZY Herbal Formula Used in Traditional Medicine to Treat Respiratory Infections

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Natural Science 2024年第9期16卷 131-145页

作者： Mohamed Bonewendé Belemlilga Bagora Bayala Abdoul Gilchrist Laurent Boly Madinatou Annick Ouédraogo Alida Raissa Boina Boubacar Yaro Florentina Badea Camélia Diguti Moumouni Koala denise p. ilboudo Charles Bavouma Sombié pascal Nadembega Jean-Marie Compaoré paul Darga Mahoukèdè Théodora Zohoncon Moussa Ouédraogo Aristide Traore Noufou Ouédraogo Florentina Matei Rasmane Semdé Sylvin Ouédraogo Jacques Simporé Innocent pierre Guissou Laboratoire de Recherche-Dveloppement de phytomdicaments et Mdicaments (LR-D/pM) Institut de Recherche en Sciences de la Sant (IRSS) Centre National de la Recherche Scientifique et Technologique (CNRST) Ouagadougou Burkina Faso Centre de Recherche Biomolculaire pietro Annigoni (CERBA) Ouagadougou Burkina Faso Laboratoire de Biologie Molculaire et de Gntique (LABIOGENE) Universit Joseph KI-ZERBO Ouagadougou Burkina Faso Ecole Normale Suprieure Koudougou Burkina Faso Laboratoire de Dveloppement du Mdicament (LADME) Centre de Formation de Recherche et dExpertises en Sciences du Mdicament (CEA-CFOREM) cole Doctorale Sciences de la Sant (ED2S) Universit Joseph KI-ZERBO Burkina Faso Laboratoire de Microbiologie Applique Universit des Sciences Agronomiques et de Mdecine Vtrinaire (UASMV) de Bucarest en Roumanie Bucharest Romania Dpartement de la mdecine traditionnelle Ministre de la Sant et de lHygine Publique Ouagadougou Burkina Faso Universit Saint Thomas dAquin (USTA) Ouagadougou Burkina Faso

ACAZY is a plant formula used in traditional medicine in Burkina Faso to treat respiratory infections. After phytochemical analysis, this study evaluated extracts’ anti-inflammatory, antioxidant and antibacterial properties from the ACAZY recipe. Three extractions, an aqueous macerate (AM), an aqueous decoction (AD) and an hydroethanolic macerate (HEM) of the ACAZY recipe powder were carried out. phytochemical screening of the extracts was carried out using high-performance thin-layer chromatography (HpTLC) and the determination of phenolic compounds. The anti-inflammatory potential was assessed in vitro using pro-inflammatory enzyme inhibition tests. 2,2-Diphenyl-1-picrylhydrazyl (DppH) and Ferric-reducing antioxidant power (FRAp) antioxidant properties were also determined. The antibacterial activity was evaluated on Staphylococcus aureus and Streptococcus pneumoniae strains. phytochemical analysis revealed the presence of flavonoids, saponins, tannins, anthracenosids, sterols and triterpenes in the extracts. The extracts inhibited pro-inflammatory enzymes by more than 40% at only 100 µg/mL. The extracts also showed potent antibacterial activity with a minimum inhibitory concentration 1 mg/mL on Staphylococcus aureus and 2 mg/mL on Streptococcus pneumoniae. The extracts in the ACAZY formula have shown anti-inflammatory and antioxidant properties in vitro. The AD also showed an antibacterial activity. This justifies its use in traditional medicine to treat acute respiratory infections.

关键词： ACAZY Anti-Inflammatory Antioxidant Antibacterial In Vitro

Cryogenic and conventional milling of AZ91 magnesium alloy

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Journal of Magnesium and Alloys 2024年第6期12卷 2503-2519页

作者： Vikas Marakini Srinivasa pai p Gururaj Bolar Bhaskara p Achar Department of Mechanical Engineering Nitte(Deemed to be University)NMAM Institute of Technology(NMAMIT)Nitte 574110India Department of Mechanical and Industrial Engineering Manipal Institute of TechnologyManipal Academy of Higher EducationManipal 576104India

Use of magnesium is the need of the hour due to its low density as well as its high strength-to-weight and stiffness-to-weight ratio *** study focuses on the effectiveness of liquid nitrogen(LN_(2))assisted cryogenic machining on the surface integrity(SI)characteristics of AZ91 magnesium *** milling using uncoated carbide inserts have been performed under liquid nitrogen(LN_(2))assisted cryogenic condition and compared with conventional(dry)*** are performed using machining parameters in terms of cutting speeds of 325,475,625 m/min,feed rates of 0.05,0.1,0.15 mm/teeth and depth of cuts of 0.5,1,1.5 mm *** significant surface integrity characteristics such as surface roughness,microhardness,microstructure,and residual stresses have been *** of SI characteristics with respect to milling parameters have been identified using statistical technique such as ANOVA and signal-to-noise(S/N)ratio ***,the multi criteria decision making(MCDM)techniques such as additive ratio assessment method(ARAS)and complex proportional assessment(COpRAS)have been utilized to identify the optimal conditions for milling AZ91 magnesium alloy under both dry and cryogenic *** of LN_(2)during machining,resulted in reduction in machining temperature by upto 29%with a temperature drop from 251.2℃under dry condition to 178.5℃in cryogenic *** showed the advantage of performing cryogenic milling in improving the surface integrity to a significant *** machining considerably minimized the roughness by upto 28%and maximised the microhardness by upto 23%,when compared to dry *** speed has caused significant impact on surface roughness(95.33%-dry,92.92%-cryogenic)and surface microhardness(80.33%-dry,82.15%-cryogenic).Due to the reduction in machining temperature,cryogenic condition resulted in compressive residual stresses(maximumσ║=-113 Mpa)on the alloy *** indicate no

关键词： Magnesium alloy Cryogenic machining Roughness Microhardness Microstructure Residual stress Multi criteria decision making

An Efficient Approach to Escalate the Speed of Training Convolution Neural Networks

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China Communications 2024年第2期21卷 258-269页

作者： p pabitha Anusha Jayasimhan Department of Computer Technology Anna UniversityMadras Institute of Technology CampusChennai 600044India

Deep neural networks excel at image identification and computer vision applications such as visual product search, facial recognition, medical image analysis, object detection, semantic segmentation,instance segmentation, and many others. In image and video recognition applications, convolutional neural networks(CNNs) are widely employed. These networks provide better performance but at a higher cost of computation. With the advent of big data, the growing scale of datasets has made processing and model training a time-consuming operation, resulting in longer training times. Moreover, these large scale datasets contain redundant data points that have minimum impact on the final outcome of the model. To address these issues, an accelerated CNN system is proposed for speeding up training by eliminating the noncritical data points during training alongwith a model compression method. Furthermore, the identification of the critical input data is performed by aggregating the data points at two levels of granularity which are used for evaluating the impact on the model *** experiments are conducted using the proposed method on CIFAR-10 dataset on ResNet models giving a 40% reduction in number of FLOps with a degradation of just 0.11% accuracy.

关键词： CNN deep learning image classification model compression