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Conceptual Issues in the Qualification of Intelligent Buildings

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Open Journal of Energy Efficiency 2019年第2期8卷 52-63页

作者： Ogwu Ikechukwu Okonkwo moses College of Civil Engineering and Mechanics Xiangtan University Xiangtan China Faculty of Environmental Science Nnamdi Azikiwe University Awka Nigeria

The reality of global warming must have been settled by now while the incidence of same has in very recent times adopted unprecedented dimensions. The global community continues to look for ways to combat the impact of climate change and technology is looked upon to deliver the innovations that would ensure a better tomorrow today. Rapid advancement of Information Technology (IT), is now transforming the way we create and interact with the built environment with the notion of Intelligent Buildings (IBs) underscoring its main features. However, these IBs utilize systems that require energy, and fossil fuels are currently the world’s primary energy sources;they can also irreparably harm the environment, exacerbating climate change. What then is the true essence of IBs? This paper, through review of existing literature, attempts to explore some issues associated with the conceptualization of IBs, highlighting how they are similar with other notional options that deliver the same benefits but without the needed IT systems or the energy required in running them. It also discusses the need to focus on less energy demanding and management approaches at design or occupancy of buildings as a way to reduce the demand and thus consumption of fossil fuels across the world.

关键词： Technology Climate Change Energy Energy Efficiency Building Energy Assessment HVAC Facade Systems Passive Design Smart Materials Intelligent Buildings

Prediction of influence of process parameters on tensile strength of AA6061/TiC aluminum matrix composites produced using stir casting

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Transactions of Nonferrous Metals Society of China 2016年第6期26卷 1498-1511页

作者： J.JEBEEN moses I.DINAHARAN S.JOSEPH SEKHAR Department of Mechanical Engineering St.Xavier's Catholic College of Engineering Department of Mechanical Engineering Science University of JohannesburgAuckland Park Kingsway Campus

Stir casting was used to produce AA6061/15%TiC （mass fraction） aluminum matrix composites （AMCs）. An empirical relationship was developed to predict the effect of stir casting parameters on the ultimate tensile strength （UTS） of AA6061/TiC AMCs. A central composite rotatable design consisting of four factors and five levels was used to minimize the number of experiments, i.e., castings. The factors considered were stirring speed, stirring time, blade angle and casting temperature. The effect of those factors on the UTS of AA6061/TiC AMCs was derived using the developed empirical relationship and elucidated using microstructural characterization. Each factor significantly influenced the UTS. The variation in the UTS was attributed to porosity content, cluster formation, segregation of TiC particles at the grain boundaries and homogenous distribution in the aluminum matrix.

关键词： aluminum matrix composite stir casting TiC tensile strength

Anti-voltage-gated potassium channel complex antibody-mediated limbic encephalitis:a case report of a 53-yearold man admitted to intensive care psychiatric unit with psychotic mania

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General Psychiatry 2020年第4期33卷 241-244页

作者： Homayun Shahpesandy Rosemary Mohammed-Ali Ahmed Oladosu Tarik AI-Kubaisy moses Anene Umesh Sira Ramaiah The Hartsholme Centre Lincolnshire Partnership NHS Foundation TrustLincolnUK Spalding Community Mental Health Team Lincolnshire Partnership NHS Foundation TrustSpaldingUK Early Intervention Psychosis Team Consultant Psychiatrist North Lincolnshire Community Mental HealthRotherham Doncaster NHS Foundation TrustScunthorpeUK Peter Hodgkinson Centre Lincolnshire Partnership NHS Foundation TrustLincolnUK Psychiatric Liaison Team Lincolnshire Partnership NHS Foundation TrustLincolnUK

Limbic encephalitis represents a cluster of autoimmune disorders,with inflammation in the medial temporal lobe characterised by subacute onset of neuropsychiatric symptoms such as anxiety,affective symptoms,psychosis,short-term memory impairment as well as faciobrachial and grand mal *** aim to present a case of a 53-year-old man with positive anti-voltage-gated potassium channel(VGKC)complex antibodies who initially presented with symptoms of psychotic *** weeks post-psychiatric symptomatology,he presented with neurological symptoms such as faciobrachial jerking and tonic-clonic *** patient had no previous psychiatric history and was initially treated with psychotropic *** experience emphasises the fact that limbic encephalitis is not easy to identify as most patients initially present with psychiatric symptomatology than neurological ***,immunological and laboratory testing takes a rather long time to determine the *** is more,few psychiatrists consider autoimmune nature of the neuropsychiatric ***,it is important to consider autoimmune encephalitis in patients with new-onset psychosis or mania who also present with neurological symptoms at some stage of their *** indicators of autoimmune encephalitis include neurological symptoms such as facial twitching,seizures,confusion and cognitive decline.

关键词： initially potassium admitted

Optimal Deep Canonically Correlated Autoencoder-Enabled Prediction Model for Customer Churn Prediction

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Computers, Materials & Continua 2022年第11期73卷 3757-3769页

作者： Olfat M.Mirza GJose moses R.Rajender E.Laxmi Lydia Seifedine Kadry Cheadchai Me-Ead Orawit Thinnukool Department of Computer Science College of Computers and Information SystemsUmm Al-Qura UniversityMakkahSaudi Arabia Department of Computer Science Engineering Malla Reddy Engineering College500100India Department of Computer Science Engineering Lendi Institute of Engineering&TechnologyDenkada535005India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Applied Data Science Noroff University CollegeNorway Program in Statistics and Information Management Faculty of ScienceMaejo UniversityChiang Mai50290Thailand Department of Modern Management and Information Technology College of Arts Media and TechnologyChiang Mai UniversityChiang Mai50200Thailand

Presently,customer retention is essential for reducing customer churn in telecommunication *** churn prediction(CCP)is important to predict the possibility of customer retention in the quality of *** risks of customer churn also get essential,the rise of machine learning(ML)models can be employed to investigate the characteristics of customer ***,deep learning(DL)models help in prediction of the customer behavior based characteristic *** the DL models necessitate hyperparameter modelling and effort,the process is difficult for research communities and business *** this view,this study designs an optimal deep canonically correlated autoencoder based prediction(ODCCAEP)model for competitive customer dependent application *** addition,the O-DCCAEP method purposes for determining the churning nature of the *** O-DCCAEP technique encompasses preprocessing,classification,and hyperparameter ***,the DCCAE model is employed to classify the churners or ***,the hyperparameter optimization of the DCCAE technique occurs utilizing the deer hunting optimization algorithm(DHOA).The experimental evaluation of the O-DCCAEP technique is carried out against an own dataset and the outcomes highlighted the betterment of the presented O-DCCAEP approach on existing approaches.

关键词： Churn prediction customer retention deep learning machine learning archimedes optimization algorithm

Artificial Intelligence-Enabled Cooperative Cluster-Based Data Collection for Unmanned Aerial Vehicles

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Computers, Materials & Continua 2022年第11期73卷 3351-3365页

作者： R.Rajender C.S.S.Anupama G.Jose moses E.Laxmi Lydia Seifedine Kadry Sangsoon Lim Department of Computer Science Engineering Lendi Institute of Engineering&TechnologyDenkada535005India Department of Electronics&Instrumentation Engineering V.R.Siddhartha Engineering CollegeVijayawada520007India Department of Computer Science Engineering Malla Reddy Engineering College500100India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Applied Data Science Noroff University CollegeKristiansand4612Norway Department of Computer Engineering Sungkyul UniversityAnyang14097Korea

In recent times,sixth generation(6G)communication technologies have become a hot research topic because of maximum throughput and low delay services for mobile *** encompasses several heterogeneous resource and communication standard in ensuring incessant availability of *** the same time,the development of 6G enables the Unmanned Aerial Vehicles(UAVs)in offering cost and time-efficient solution to several applications like healthcare,surveillance,disaster management,*** UAV networks,energy efficiency and data collection are considered the major process for high quality network *** these procedures are found to be challenging because of maximum mobility,unstable links,dynamic topology,and energy restricted *** issues are solved by the use of artificial intelligence(AI)and energy efficient clustering techniques for UAVs in the 6G *** this inspiration,this work designs an artificial intelligence enabled cooperative cluster-based data collection technique for unmanned aerial vehicles(AECCDC-UAV)in 6G *** proposed AECCDC-UAV technique purposes for dividing the UAV network as to different clusters and allocate a cluster head(CH)to each cluster in such a way that the energy consumption(ECM)gets *** presented AECCDC-UAV technique involves a quasi-oppositional shuffled shepherd optimization(QOSSO)algorithm for selecting the CHs and construct *** QOSSO algorithm derives a fitness function involving three input parameters residual energy of UAVs,distance to neighboring UAVs,and degree of *** performance of the AECCDC-UAV technique is validated in many aspects and the obtained experimental values demonstration promising results over the recent state of art methods.

关键词： 6G unmanned aerial vehicles resource allocation energy efficiency artificial intelligence clustering data collection

Accident and hazard prediction models for highway–rail grade crossings:a state-of-the-practice review for the USA

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Railway Engineering Science 2020年第3期28卷 251-274页

作者： Olumide F.Abioye Maxim A.Dulebenets Junayed Pasha Masoud Kavoosi Ren moses John Sobanjo Eren E.Ozguven Department of Civil and Environmental Engineering Florida A&M University-Florida State University2525 Pottsdamer StreetTallahasseeFL 32310-6046USA

Highway–rail grade crossings(HRGCs)are one of the most dangerous segments of the transportation *** year numerous accidents are recorded at HRGCs between highway users and trains,between highway users and traffic control devices,and solely between highway *** accidents cause fatalities,severe injuries,property damage,and release of hazardous *** and state Departments of Transportation(DOTs)have addressed safety concerns at HRGCs in the USA by investigating the factors that may cause accidents at HRGCs and developed certain accident and hazard prediction models to forecast the occurrence of accidents and crossing *** accident and hazard prediction models are used to identify the most hazardous HRGCs that require safety *** study provides an extensive review of the state-of-the-practice to identify the existing accident and hazard prediction formulae that have been used over the years by different state ***,this study analyzes the common factors that have been considered in the existing accident and hazard prediction *** reported performance and implementation challenges of the identified accident and hazard prediction formulae are discussed in this study as *** on the review results,the US DOT Accident Prediction Formula was found to be the most commonly used formula due to its accuracy in predicting the number of accidents at ***,certain states still prefer customized models due to some practical *** availability and data accuracy were identified as some of the key model implementation challenges in many states across the country.

关键词： Highway–rail grade crossings Accident prediction methods Hazard prediction methods Resource allocation Critical review

PCSK9 and carbohydrate metabolism:A double-edged sword

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World Journal of Diabetes 2017年第7期8卷 311-316页

作者： Theodosios D Filippatos Sebastian Filippas-Ntekouan Eleni Pappa Thalia Panagiotopoulou Vasilios Tsimihodimos moses S Elisaf Department of Internal Medicine School of MedicineUniversity of Ioannina45110 IoanninaGreece

Proprotein convertase subtilisin/kexin type 9(PCSK9) plays a paramount role in the degradation of lowdensity lipoprotein(LDL) receptors(LDLR) on the hepatic cells surface and subsequently affects LDL particles catabolism and LDL cholesterol(LDL-c) levels. The anti-PCSK9 monoclonal antibodies lead to substantial decrease of LDL-c concentration. PCSK9(which is also expressed in pancreatic delta-cells) can decrease LDLR and subsequently decrease cholesterol accumulation in pancreatic beta-cells, which impairs glucose metabolism and reduces insulin secretion. Thus, a possible adverse effect of PCSK9 inhibitors on carbohydrate metabolism may be expected by this mechanism, which has been supported by the mendelian studies results. On the other hand, clinical data have suggested a detrimental association of PCSK9 with glucose metabolism. So, the inhibition of PCSK9 may be seen as a double-edged sword regarding carbohydrate metabolism. Completed clinical trials have not shown a detrimental effect of PCSK9 inhibitors on diabetes risk, but their short-term duration does not allow definite conclusions.

关键词： Proprotein convertase subtilisin/kexin type 9 Diabetes Carbohydrate metabolism Low-density lipoprotein Proprotein convertase subtilisin/kexin type 9 inhibitors

Mathematical Modelling of Bloch NMR to Explain the Rashba Energy Features

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World Journal of Condensed Matter Physics 2013年第1期3卷 87-94页

作者： moses E. Emetere Department of Physics Federal University of Technology Minna Minna Nigeria

The Bloch NMR as an analytical tool was able to address the fundamental features in the learning of spintronics. Beside confirming past assertions on the Rashba spin-orbit interaction, thermal motion of hole and electron spin and features of the quantum well, it was also able to explain the condition necessary for Rashba splitting within the quantum well. When the Rashba energy is 43 meV, it modified the Ehrenfest’s theorem to hold for an external magnetic field. The confinement potential which is the strength of the Rashba spin-orbit interaction was shown to be controlled magnetically.

关键词： Bloch NMR Rashba Energy Rashba Parameter Quantum Well Spin-Plit Hole Spin Velocity

In vitro screening of 1-aryl-6-hydroxy-1,2,3,4-tetrahydroisoquinolines: structure related activity against pathogenic bacteria

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Asian Pacific Journal of Tropical Biomedicine 2015年第6期5卷 471-475页

作者： moses Njutain Ngemenya Joelle Ngo Hanna Julios Armand Komtchou Simon Mbua Ngale Efange Biotechnology Unit Department of Biochemistry and Molecular Biology Faculty of Science University of Buea P.O. Box 63 BueaSouth West RegionCameroon Department of Chemistry Faculty of Science University of Buea P.O. Box 63 BueaSouth West Region Cameroon

Objective: To evaluate the antibacterial activity of ten synthetic tetrahydroisoquinolines against eight bacterial strains. Methods: The ten tetrahydroisoquinolines synthesized via base-catalyzed Pictet-Spengler cyclization were screened against a total of eight bacterial strains comprising control and pathogenic strains by the disc diffusion and micro-dilution methods. The most active compound was then assessed for cytotoxicity on human lymphocytes. Results: Six of the tetrahydroisoquinolines showed broad spectrum bacteriostatic activity. The zones of inhibition produced ranged from 7 to 23 mm for 200 μg per disc. The presence of a lipophilic substituent at the para position of the pendant phenyl group conferred the highest antibacterial activity. Compound 2 [1-(3,4-chlorophenyl)-6-hydroxy-1,2,3,4-tetrahydroisoquinoline] was the most active and produced zones ranging from 9 to 20 mm against all eight bacterial strains. Compound 2 also showed the lowest minimum inhibitory concentration of 100 μg/mL against Escherichia coli ATCC11775 and the lowest minimum bactericidal concentration of 800 μg/mL against pathogenic Salmonella typhimurium. Overall, compound 2 was the most active with bacteriostatic and bactericidal activity against three and four bacterial strains respectively. A 50% cytotoxic concentration of 98.2 μg/mL was recorded for compound 2 indicating a low risk of toxicity. Conclusions: The 1-aryl-1,2,3,4-tetrahydroisoquinolines display structure-related antibacterial activity and further chemical exploration of the tetrahydroisoquinoline scaf old may yield more potent non-toxic derivatives for development into new antibacterials.

关键词： Antibiotics Drug discovery Antibacterial agents Tetrahydroisoquinolines Cytotoxicity