The Upper Jurassic sediments,Marib-Shabwa Basin,Yemen:Lithofacies aspects and sequence stratigraphic analysis

The present study is devoted to understanding the evolution of the Upper Jurassic Sab'atayn Formation in the Marib-Shabwa Basin,Yemen,through a sequence stratigraphic analysis based on integrating datasets of sedimentology,seismic sections,and well logs.The Sab'atayn Formation(Tithonian age)is represented by a series of clastic and evaporites that were deposited under fluvio-deltaic to prodeltaic settings.It is divided into four members including Yah(at the base),upwards to Seen,Alif,and Safir at the top.Two third-order depositional sequences were determined for the Tithonian succession which were separated by three sequence boundaries.These sequences were classified into their systems tracts signifying several sedimentation patterns of progradational,aggradational,and retrogradational parasequence sets.The first depositional sequence corresponds to the early-middle Tithonian Yah and Seen units that can be classified into lowstand,transgressive,and highstand systems tracts.The second sequence comprises the late Tithonian Alif unit that can be subdivided into transgressive and highstand systems tracts.The sandy deposits of the Alif Member(highstand deposits)represent the most productive hydrocarbon reservoir in the basin.The Upper Jurassic sediments in the study area were resulted from a combination of eustatic and tectonic effects.

Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliability,availability,and ultra-low latency.The requirements of such networks are the main challenges that can be handled using a range of recent technologies,including multi-access edge computing(MEC),artificial intelligence(AI),millimeterwave communications(mmWave),and software-defined networking.Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service(QoS).This article considers developing a complex MEC structure for fifth and sixth-generation(5G/6G)cellular networks.Furthermore,we propose a seamless migration technique for complex edge computing structures.The developed migration scheme enables services to adapt to the required load on the radio channels.The proposed algorithm is analyzed for various use cases,and a test bench has been developed to emulate the operator’s infrastructure.The obtained results are introduced and discussed.

Eyelid reconstruction methods:A 10-year review

In ophthalmological practice,eyelid reconstruction is often needed because of the presence of defects that arise after the excision of a tumor or after injuries.Various methods for reconstructing these defects have been previously described.However,it is important to understand the basic principles underlying these techniques and their advantages and disadvantages to ensure the choice of the optimal technique in a particular case.We have analyzed the recent literature on new methods or modifications of existing ones to provide a brief overview of the reconstructive methods of the century for comparison.We searched PubMed and CyberLeninka for articles on restoring eyelid defects reported in the literature over the past 10 years.Most techniques can be considered modified classical reconstruction methods.Postoperative complications included aesthetic defects,such as scarring of the upper or lower eyelid,trichiasis,entropion,and lagophthalmos.Surgeons continue to search for the best methods for complex reconstructive surgery to achieve good cosmetic and aesthetic outcomes.

Intelligent Microservice Based on Blockchain for Healthcare Applications

Nowadays,the blockchain,Internet of Things,and artificial intelligence technology revolutionize the traditional way of data mining with the enhanced data preprocessing,and analytics approaches,including improved service platforms.Nevertheless,one of the main challenges is designing a combined approach that provides the analytics functionality for diverse data and sustains IoT applications with robust and modular blockchain-enabled services in a diverse environment.Improved data analytics model not only provides support insights in IoT data but also fosters process productivity.Designing a robust IoT-based secure analytic model is challenging for several purposes,such as data from diverse sources,increasing data size,and monolithic service designing techniques.This article proposed an intelligent blockchain-enabled microservice to support predictive analytics for personalized fitness data in an IoT environment.The designed system support microservice-based analytic functionalities to provide secure and reliable services for IoT.To demonstrate the proposed model effectiveness,we have used the IoT fitness application as a case study.Based on the designed predictive analytic model,a recommendation model is developed to recommend daily and weekly diet and workout plans for improved body fitness.Moreover,the recommendation model objective is to help trainers make future health decisions of trainees in terms of workout and diet plan.Finally,the proposed model is evaluated using Hyperledger Caliper in terms of latency,throughput,and resource utilization with varying peers and orderer nodes.The experimental result shows that the proposed model is applicable for diverse resourceconstrained blockchain-enabled IoT applications and extensible for several IoT scenarios.

Epidemiology of viral hepatitis in Somalia:Systematic review and meta-analysis study

AIM To provide a clear understanding of viral hepatitis epidemiology and their clinical burdens in Somalia.METHODS A systematic review and meta-analysis was conducted as Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A comprehensive literature search of published studies on viral hepatitis was performed from 1977-2016 in Pub Med, Google Scholar, Science Direct, World Health Organization African Index Medicus and the Africa Journals Online databases, as well as on the Ministry of Health website. We also captured unpublished articles that were not available on online systems.RESULTS Twenty-nine studies from Somalia and Somali immigrants(United Kingdom,United States,Italy,Libya)with a combined sample size for each type of viral hepatitis[hepatitis A virus(HAV):1564,hepatitis B virus(HBV):8756,hepatitis C virus(HCV):6257,hepatitis D virus(HDV):375 and hepatitis E virus(HEV):278]were analyzed.The overall pooled prevalence rate of HAV was 90.2%(95%CI:77.8%to 96%).The HAV prevalence among different age groups was as follows:<1 year old,61.54%(95%CI:40.14%to79.24%);1-10 years old,91.91%(95%CI:87.76%to94.73%);11-19 years old,96.31%(95%CI:92.84%to 98.14%);20-39 years old,91.3%(95%CI:83.07%to 95.73%);and>40 years old,86.96%(95%CI:75.68%to 93.47%).The overall pooled prevalence of HBV was 18.9%(95%CI:14%to 29%).The overall pooled prevalence among subgroups of HBV was20.5%(95%CI:5.1%to 55.4%)in pregnant women;5.7%(95%CI:2.7%to 11.5%)in children;39.2%(95%CI:33.4%to 45.4%)in patients with chronic liver disease,including hepatocellular carcinoma(HCC);7.7%(95%CI:4.2%to 13.6%),12.4%(95%CI:6.3%to 23.0%)and 11.8%(95%CI:5.3%to 24.5%)in age groups<20 years old,20-39 years old and>40years old,respectively.The HBV prevalence among risk groups was 20%(95%CI:7.19%to 44.64%)in female prostitutes,21.28%(95%CI:7.15%to48.69%)in hospitalized adults,5.56%(95%CI:0.99%to 25.62%)in hospitalized children,60%(95%CI:31.66%to 82.92%)in patients with acute hepatitis,33.55%(95%CI:14.44%to 60.16%)in patients with ancylostomiasis,12.34%(95%CI:7.24%to 20.26%)in patients with leprosy and 20.19%(95%CI:11.28%to33.49%)in schistosomiasis patients.The overall pooled prevalence of HCV was estimated as 4.84%(95%CI:3.02%to 7.67%).The prevalence rates among blood donors,risk groups,children and patients chronic liver disease(including HCC)was 0.87%(95%CI:0.33%to 2.30%),2.43%(95%CI:1.21%to 4.8%),1.37%(95%CI:0.76%to 2.46%)and 29.82%(95%CI:15.84%to 48.98%),respectively.The prevalence among genotypes of HCV was 21.9%(95%CI:15.36%to 30.23%)in genotype 1,0.87%(95%CI:0.12%to 5.9%)in genotype 2,25.21%(95%CI:18.23%to 33.77%)in genotype 3,46.24%(95%CI:37.48%to 55.25%)in genotype 4,2.52%(95%CI:0.82%to7.53%)in genotype 5,and 1.19%(95%CI:0.07%to16.38%)in genotype 6.The overall pooled prevalence of HDV was 28.99%(95%CI:16.38%to 45.96%).The HDV prevalence rate among patients with chronic liver disease,including HCC,was 43.77%(95%CI:35.09%to 52.84%).The overall pooled prevalence of HEV was46.86%(95%CI:5.31%to 93.28%).CONCLUSION Our study demonstrates a high prevalence of all forms of viral hepatitis in Somalia and it also indicates that chronic HBV was the commonest cause of chronic liver disease.This highlights needs for urgent public health interventions and strategic policy directions to controlling the burden of the disease.

Method for Collision Avoidance in Spacecraft Rendezvous Problems with Space Objects in a Phasing Orbit

As the number of space objects(SO)increases,collision avoidance problem in the rendezvous tasks or reconstellation of satellites with SO has been paid more attention,and the dangerous area of a possible collision should be derived.In this paper,a maneuvering method is proposed for avoiding collision with a space debris object in the phasing orbit of the initial optimal solution.Accordingly,based on the plane of eccentricity vector components,relevant dangerous area which is bounded by two parallel lines is formulated.The axises of eccentricity vector system pass through the end of eccentricity vector of phasing orbit in the optimal solution,and orientation of axis depends on the latitude argument where a collision will occur.The dangerous area is represented especially with the graphical dialogue,and it allows to find a compromise between the SO avoiding and the fuel consumption reduction.The proposed method to solve the collision avoidance problem provides simplicity to calculate rendezvous maneuvers,and possibility to avoid collisions from several collisions or from“slow”collisions in a phasing orbit,when the protected spacecraft and the object fly dangerously close to each other for a long period.

Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms

Lungs are a vital human body organ,and different Obstructive Lung Diseases(OLD)such as asthma,bronchitis,or lung cancer are caused by shortcomings within the lungs.Therefore,early diagnosis of OLD is crucial for such patients suffering from OLD since,after early diagnosis,breathing exercises and medical precautions can effectively improve their health state.A secure non-invasive early diagnosis of OLD is a primordial need,and in this context,digital image processing supported by Artificial Intelligence(AI)techniques is reliable and widely used in the medical field,especially for improving early disease diagnosis.Hence,this article presents an AIbased non-invasive and secured diagnosis for OLD using physiological and iris features.This research work implements different machine-learning-based techniques which classify various subjects,which are healthy and effective patients.The iris features include gray-level run-length matrix-based features,gray-level co-occurrence matrix,and statistical features.These features are extracted from iris images.Additionally,ten different classifiers and voting techniques,including hard and soft voting,are implemented and tested,and their performances are evaluated using several parameters,which are precision,accuracy,specificity,F-score,and sensitivity.Based on the statistical analysis,it is concluded that the proposed approach offers promising techniques for the non-invasive early diagnosis of OLD with an accuracy of 97.6%.

Brazil and Indonesia:Horizons of a Strategic Partnership

There are many similarities between the national growth of Brazil and Indonesia.Both countries are rich in natural resources,play a vital role in the establishment of regional blocs,are members of G-20 and adhere to the principles of preventive diplomacy.The objective of this article is to show the role of the concept of strategic partnerships in the foreign policy of Brazil,whose international influence in the UN and other global structures is actively growing,and also to identify the characteristics of such partnership with Indonesia.Southeast Asia is becoming extremely important for the international economic system,and Indonesia,located on 17,000 islands,has an important geostrategic position,since all major sea routes in the Indian and Pacific Ocean pass through it.Indonesia is currently distinguished thanks to its steady economic growth,political stability,integration into the global economy,and increased activity on international platforms.Consequently,it is no surprise that Brazilian-Indonesian strategic partnership has started to manifest itself not only in the development of comprehensive ties,but also in the cooperation in upholding the ideas of sustainable development,disarmament,as well as the peaceful resolution of conflicts on the global level.The authors utilized a problematic-chronological method that allowed to analyze the areas of contacts between Brazil and Indonesia in the global arena,to find the problems and promising areas of partnership—including the oil and gas sector,the exchange of technologies,the creation of favorable investment climate,the coordination of activity in international organizations,and willingness to take into consideration mutual interests.

Wildlife forensic examination in Russia:the practice and perspectives

Two case studies are described which show application of forensic expertise to establish important circumstances related to the investigation of the crimes against wildlife flora and fauna.Forensic study of the animal hair is a method for investigation of the crimes against wildlife objects which is used more frequently during the recent years.The perspectives of development of the new branch of forensic research in Russia are formulated,and the proposals and recommendations for developing the Eurasian wildlife flora and fauna network are formulated in this article.

Trapping the Short-Chain Odd Carbon Number Olefins Using Nickel(Ⅱ)-Catalyzed Tandem Ethylene Oligomerization and Friedel-Crafts Alkylation of Toluene

Nickel(Ⅱ)complexes with pyrazole-based ligands are widely employed in catalysis of ethylene oligomerization and subsequent Friedel-Crafts alkylation of toluene.We have prepared ten new nickel(Ⅱ)dibromide complexes with various substituted bis(azolyl)methanes.They have been characterized using^(1)H NMR,IR,high resolution mass spectrometry and elemental analysis.The structures of three complexes have been unambiguously established using X-ray diffraction.It was found that these complexes in the presence of Et2AlCl or Et_(3)Al_(2)Cl_(3)are active both in ethylene oligomerization and Friedel-Crafts alkylation processes(activity up to 3720 kgoligomer·mol[Ni]^(−1)·h^(−1)).The use of Et_(3)Al_(2)Cl_(3)results in a higher share of alkylated products(up to 60%).Moreover,catalytic systems activated with Et_(3)Al_(2)Cl_(3)produced small amounts of odd carbon number olefins(up to 0.8%).The Friedel-Crafts alkylation was used as a trap for previously undetected short-chain odd carbon number olefins(C_(3)and C_(5)).

Unique Continuation Property with Partial Information for Two-Dimensional Anisotropic Elasticity Systems

In this paper,we establish a novel unique continuation property for two-dimensional anisotropic elasticity systems with partial information.More precisely,given a homogeneous elasticity system in a connected open bounded domain,we investigate the unique continuation by assuming only the vanishing of one component of the solution in a subdomain.Using the corresponding Riemann function,we prove that the solution vanishes in the whole domain provided that the other component vanishes at one point up to its second derivatives.Further,we construct several examples showing the possibility of further reducing the additional information of the other component.This result possesses remarkable significance in both theoretical and practical aspects because the required data are almost halved for the unique determination of the whole solution.

Synthesis of nitrogen-tethered 1,6-enynes through CuI/TFA catalysis

A novel method for the concise and effective construction of nitrogen-tethered 1,6-enynes in moderate to good yields was developed.This transformation involves a TFA-promoted Pictet-Spengler reaction/iminium formation,copper-catalyzed alkyne-iminium ene reaction/alkynylation of a 2-arylethan-1-amine,formaldehyde solution,and a terminal alkyne.The process features exclusive chemoselectivity,simple operation,and high atom economy.Preliminary experimental studies suggest that the alkyne-iminium ene reaction involving an intermolecular hydride transfer is the key step in the current methodology.