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Practical approach to linear endoscopic ultrasound examination of the gallbladder

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World Journal of Radiology 2024年第6期16卷 184-195页

作者： Hussein Hassan Okasha Eyad Gadour Hassan Atalla Omar AbdAllah AbdEl-Hameed Reem Ezzat Ahmed Elsayed Alzamzamy Elsayed Ghoneem Rasha Ahmad Matar Zeinab Hassan bogdan Miutescu Ayman Qawasmi Katarzyna M Pawlak Ahmed Elmeligui Department of Internal Medicine Division of Gastroenterology and HepatologyKasr Al-Aini School of MedicineCairo UniversityCairo 11562Egypt Department of Gastroenterology and Hepatology King Abdulaziz Hospital-National GuardAhsa 31982Saudi Arabia Department of Medicine School of MedicineZamzam University CollegeKhartoum 11113Sudan Department of Internal Medicine Hepatology and Gastroenterology UnitFaculty of MedicineMansoura UniversityMansoura 35516Egypt Department of Internal Medicine Faculty of MedicineAssiut UniversityAssiut 71511Egypt Department of Gastroenterology and Heptology Maadi Armed Forces Medical ComplexMilitary Medical AcademyCairo 11728Egypt Department of Gastroenterology and Advance Endoscopy Sultant Qaboos Comprehensive Cancer Care and Research CentreMuscat 0961Oman Department of Internal Medicine Stockport Hospitals NHS Foundation TrustManchester SK27JEUnited Kingdom Department of Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Advanced Regional Research Centre in Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 30041Romania Department of Gastroenterology Al-Makassed Islamic Charitable Society HospitalCairo 11124Egypt Division of Gastroenterology St.Michael’s HospitalUniversity of TorontoToronto M5B 1W8Canada Department of Gastroenterology Southend University HospitalEssex SS26XTUnited Kingdom

The gallbladder(GB)is a susceptible organ,prone to various pathologies that can be identified using different imaging *** ultrasound(TUS)is typically the initial diagnostic method due to its numerous well-established ***,in cases of uncertainty or when a definitive diagnosis cannot be established,computed tomography(CT)or magnetic resonance imaging may be employed to provide more detailed ***,CT scans may sometimes offer inadequate spatial resolution,which can limit the differentiation of GB lesions,particularly when smaller yet clinically relevant abnormalities are ***,endoscopic ultrasound(EUS)provides higher frequency compared to TUS,superior spatial resolution,and the option for contrast-enhanced harmonic imaging,enabling a more comprehensive ***,EUS can serve as a supplementary tool when conventional imaging methods are *** review will describe the standard EUS examination of the GB,focusing on its endosonographic characteristics in various GB path-ologies.

关键词： Endoscopic ultrasound Linear endoscopic ultrasound Gallbladder anatomy Gallbladder pathologies Therapeutic endoscopic ultrasound

Energy balance model to assess the resistance of ballistic protection materials

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Defence Technology（防务技术） 2023年第12期30卷 141-153页

作者： bogdan Stirbu Irene Ndindabahizi Tom Vancaeyzeele Cyril Robbe Department of Weapon Systems and Ballistics Royal Military AcademyBrussels 1000Belgium

NATO standards"AEP-2920 Procedures for the Evaluation and Classification of Personal Armor"and NIJ Standard-0101.06,indicate the method to statistically assess the resistance of personal ballistic protection *** be validated and accepted through these procedures,a personal ballistic protection material should withstand an impact of a specific projectile with a probability of a partial penetration confidence level higher than 90%.The present study introduces an energy equilibrium method to assess the confidence level for the probability of partial penetration of ductile and brittle *** experiments performed in the Ballistics laboratory of the Royal Military Academy in Belgium,use a modified pendulum method that allowed the quantification of the energy balance before and after the ballistic *** results were then compared with the ones obtained using the method specified by the NATO standard and NIJ 0101.06,mentioned *** outcome of this comparison shows the tendency of the values obtained by the pendulum method to faithfully follow the values obtained according to NATO and NIJ *** presented method is not based on statistical estimations,but instead,an exact method,of computing the energy absorbed by the tested *** is an advantage for the cases when the material to be evaluated is expensive or it is in the development phase and mass production is not possible.

关键词： Energy NATO Ballistic Protection materials Statistics NIJ Bootstrapping

Comparison of stem volume estimates from terrestrial point clouds for mature Douglas-fir(Pseudotsuga menziessi(Mirb.)Franco)

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Information Processing in Agriculture 2023年第3期10卷 334-346页

作者： Rong Fang bogdan M.Strimbu Forest Engineering Resourcesand Management DepartmentOregon State UniversityCorvallisOR 97333 ORUSA

As a complement to traditional estimates of stem dimensions from numerical models,terrestrial light detection and ranging(Lidar)provides direct stem diameter and volume values using cylindrical models constructed from point *** study used two approaches to estimate total stem volume using Lidar and compared them with two empirical equations,one used by the Forest Inventory Analysis in the Pacific Northwest(FIA-PNW)and one based on a taper *** fitted point clouds of 10 Douglas-fir with three sets of cylinder models that are distinguished by their segment length(i.e.0.5 m,1 m,and 2 m),then developed three taper equations based on the point-cloud-based diameter estimated *** estimated the total stem volume of the tree with eight models:six-point cloudbased(*** taper and three cylinders)and two ***,we used simulations to extrapolate the volume estimations of various methods for different diameters at breast height(DBH)*** found that all the point-cloud-based taper equations were similar in their performance(R2¼0:94,RMSE=4.6 cm)and produced mean volume estimates greater than mean estimates of the existing *** cylinder models produced 11–16%greater mean volume estimates than the FIA-PNW estimate,with the 0.5 m segment length producing the greatest values,followed by the 1 m and 2 m segment *** simulated data suggested that the mean volume estimates of a given DBH class are different when using different computation *** revealed a combined effect of the computation methods and the DBH class on the mean volume *** conclude that the point-cloud-based taper equations,after being symmetrically calibrated,would be consistent with the regional stem volume estimates,whereas the cylinder models would be better in estimating individual stem *** constructing Lidar-based cylinder models in future applications,cylinder segment length would need to be adjusted to the length and DBH of the stem

关键词： Lidar Cylinder models Cylinder segment length Taper equations Forest inventory and analysis

Access control and surveillance in a smart home

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High-Confidence Computing 2022年第1期2卷 38-46页

作者： Cristina Stolojescu-Crisan Calin Crisan bogdan-Petru Butunoi Department of Communications Politehnica University of TimisoaraTimisoaraRomania safeFleet Telematics TimisoaraRomania Department of Computer Science West University of TimisoaraTimișoaraRomania

In the past years smart homes solutions have become more and more popular with the introduction of a high number of both Internet of Things(IoT)applications and smart *** automation and security systems market is in a continuous growth,traditional security systems are evolving fast,and more and more people choose Smart home *** this paper,we propose two IoT based systems in the context of Smart homes:qToggle for multiple home automation,and MotionEyeOS,a video surveillance OS for single-board *** qToggle devices are based on ESP8266/ESP8285 chips or on Raspberry Pi boards and smart sensors,while MotionEye uses Raspberry Pi boards.

关键词： Access control Internet of things Security Smart homes Video surveillance

The effect of the dietary inclusion of pea seeds of colored-flowered and white-flowered varieties on gastrointestinal function in turkeys

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Animal Nutrition 2022年第3期10卷 167-177页

作者： Zenon Zdunczyk Dariusz Mikulski Jan Jankowski bogdan A.Slominski Jerzy Juskiewicz Institute of Animal Reproduction and Food Research Polish Academy of SciencesOlsztyn 10-748Poland Department of Poultry Science and Apiculture University of Warmia and MazuryOlsztyn 10-718Poland Department of Animal Science University of ManitobaWinnipeg R3T 2N2Canada

This study investigated the effects of dietary replacement of soybean meal(SBM)with graded levels of pea seeds(PS)on the gastrointestinal function of *** of 2 pea varieties,a colored-flowered variety and a white-flowered variety(CFP and WFP,respectively)were fed to 56-d-old birds for 8 wk.A total of 539 female Hybrid turkeys were allocated to 7 groups,each group consisted of 7 pens with 11 birds per *** experiment had a 2-factorial design,with 3 dietary inclusion levels of PS(100,200 and 300 g/kg)and 2 pea varieties(CFP and WFP).The control group(diets without PS)was compared with CFP and WFP treatments by simple contrast *** comparison with CFP seeds,WFP seeds contained 7-fold less tannins(0.67 vs.4.66 g/kg)and less non-starch polysaccharides(NSP,117.8 vs.132.7 g/kg),but more trypsin inhibitors(1.34 vs.0.98 g/kg)and starch(489 vs.455 g/kg).A rise in the PS content of diets from 100 to 200 and 300 g/kg increased the weight of the small intestine(P=0.031)and the dry matter(DM)content of intestinal digesta(P=0.001),but it had no effect on the pH of *** the highest PS content differentiated the concentrations of short-chain fatty acids(SCFAs)in the small intestinal digesta(WFP>CFP,P=0.008),whereas PS did not cause any changes in the morphological parameters of the small intestinal *** dietary inclusion of PS had no influence on the levels of acetate,butyrate,putrefactive SCFAs or total SCFAs in the cecal *** from increasing the activities of b-glucosidase(P=0.017)and b-galactosidase(P=0.025),pea varieties did not affect the activities of the analyzed cecal microbial ***,CFP seeds decreased the DM content(P=0.041)and increased the pH of cecal digesta,compared with WFP seeds(P=0.013).The results of this study,pointing to a few differences in the functional parameters of the small intestine and cecum,indicate that tannins are not a factor differentiating the suitability of CFP and WFP seeds in the nutrition of f

关键词： Pea Tannin Growth performance Gastrointestinal tract Turkey

Evaluating data-driven algorithms for predicting mechanical properties with small datasets:A case study on gear steel hardenability

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International Journal of Minerals,Metallurgy and Materials 2022年第4期29卷 836-847页

作者： bogdan Nenchev Qing Tao Zihui Dong Chinnapat Panwisawas Haiyang Li Biao Tao Hongbiao Dong NISCO UK Research Centre School of EngineeringUniversity of LeicesterLeicester LE17RHUK Nanjing Iron&Steel United Co. Ltd.Nanjing 210044China

Data-driven algorithms for predicting mechanical properties with small datasets are evaluated in a case study on gear steel *** limitations of current data-driven algorithms and empirical models are *** in analysing small datasets are discussed,and solution is proposed to handle small datasets with multiple *** methods in combination with novel predictive algorithms are utilized to overcome the challenges in analysing gear steel hardenability data and to gain insight into alloying elements interaction and structure *** gained fundamental knowledge integrated with machine learning is shown to be superior to the empirical equations in predicting ***-property relationships between chemistry,sample size,and hardness are predicted via two optimized machine learning algorithms:neural networks(NNs)and extreme gradient boosting(XGboost).A comparison is drawn between all algorithms,evaluating their performance based on small data *** results reveal that XGboost has the highest potential for predicting hardenability using small datasets with class imbalance and large inhomogeneity issues.

关键词： machine learning small dataset XGboost hardenability gear steel

Machine learning force fields for molecular liquids: Ethylene Carbonate/Ethyl Methyl Carbonate binary solvent

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npj Computational Materials 2023年第1期9卷 830-844页

作者： Ioan-bogdan Magdău Daniel JArismendi-Arrieta Holly ESmith Clare PGrey Kersti Hermansson Gábor Csányi Engineering Laboratory University of CambridgeTrumpington StreetCambridge CB21PZUK Department of Chemistry–Ångström Laboratory Uppsala UniversityBox 53875121 UppsalaSweden Yusuf Hamid Department of Chemistry University of CambridgeLensfield RoadCambridge CB21EWUK

Highly accurate ab initio molecular dynamics(MD)methods are the gold standard for studying molecular mechanisms in the condensed phase,however,they are too expensive to capture many key properties that converge slowly with respect to simulation length and time *** learning(ML)approaches which reach the accuracy of ab initio simulation,and which are,at the same time,sufficiently affordable hold the key to bridging this *** this work we present a robust ML potential for the EC:EMC binary solvent,a key component of liquid electrolytes in rechargeable Li-ion *** identify the necessary ingredients needed to successfully model this liquid mixture of organic *** particular,we address the challenge posed by the separation of scale between intra-and inter-molecular interactions,which is a general issue in all condensed phase molecular systems.

关键词： condensed binary Ethylene

Miniature Detonating Cord (MDC) for Breaking Organic Glass Plates

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含能材料 2008年第5期16卷 618-620页

作者： bogdan ZYGMUNT Military University of Technology Mechatronics Faculty2 Kaliski Str.00-908 WarsawPoland

In order to develop a method to break the aircrafts canopy,a miniature detonating cords (MDC) of 1 mm in diameter were manufactured and its detonation properties were *** in a heavy lead confinement were also manufactured and were examined for breaking of organic glass *** showthat MDC in lead confinement with 1g plastic explosive per metre,cuts organic glass plate 10 mm thick.

关键词：有机玻璃爆炸性能物理性能功能材料塑胶炸弹

Deep Learning-Based Model for Detection of Brinjal Weed in the Era of Precision Agriculture

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Computers, Materials & Continua 2023年第10期77卷 1281-1301页

作者： Jigna Patel Anand Ruparelia Sudeep Tanwar Fayez Alqahtani Amr Tolba Ravi Sharma Maria Simona Raboaca bogdan Constantin Neagu Department of Computer Science and Engineering Institute of TechnologyNirma UniversityAhmedabad382481India Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Centre for Inter-Disciplinary Research and Innovation University of Petroleum and Energy StudiesDehradun248001India Doctoral School University Politehnica of BucharestBucharest060042Romania National Research and Development Institute for Cryogenic and Isotopic Technologies-ICSI Rm ValceaRamnicu Valcea240050Romania Power Engineering Department Gheorghe Asachi Technical University of IasiIasi700050Romania

The overgrowth of weeds growing along with the primary crop in the fields reduces crop *** solutions like hand weeding are labor-intensive,costly,and time-consuming;farmers have used *** application of herbicide is effective but causes environmental and health ***,Precision Agriculture(PA)suggests the variable spraying of herbicides so that herbicide chemicals do not affect the primary *** by the gap above,we proposed a Deep Learning(DL)based model for detecting Eggplant(Brinjal)weed in this *** key objective of this study is to detect plant and non-plant(weed)parts from crop *** the help of object detection,the precise location of weeds from images can be *** dataset is collected manually from a private farm in Gandhinagar,Gujarat,*** combined approach of classification and object detection is applied in the proposed *** Convolutional Neural Network(CNN)model is used to classify weed and non-weed images;further DL models are applied for object *** have compared DL models based on accuracy,memory usage,and Intersection over Union(IoU).ResNet-18,YOLOv3,CenterNet,and Faster RCNN are used in the proposed *** outperforms all other models in terms of accuracy,i.e.,88%.Compared to other models,YOLOv3 is the least memory-intensive,utilizing 4.78 GB to evaluate the data.

关键词： Precision Agriculture Deep Learning brinjal weed detection ResNet-18 YOLOv3 CenterNet Faster RCNN