Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination the Natural Radioactivity Levels at Selected Regions in Al-Najaf Governorate

The natural radioactivity levels for radium(226Ra), thorium (232Th) and potassium (40K) have been determined in soil samples selected from different regions in Najaf governorate in Iraq. The samples were collected from the ground surface. Eight samples were measured by gamma ray spectroscopy using high purity germanium detector. The levelsof radionuclides concentrations in selected samples 232Th, 226Ra and 40K were in the range of (2.5±0.29 to 7.7±0.52) Bq/kg (6.3±0.43 to 16.4±1.9) Bq/kg and (31.5±3.4 to 204.1±11.9) Bq/kg for, respectively. The mean Radium Equivalent Activity, External and Internal Hazard Indices, the Absorbed Dose Rate in Air and the Annual Effective Doses Equivalent were studied and found these parameter are less than the reported values. Therefore, the radioactivity in the studied area in Najaf does not pose any radiological hazard to the general public.
The architectural information view for the power electricity industry

Within the electric power industry, the average company's enterprise system - i.e. the overall system of IT related entities - is today highly complex. Technically, large organizations posses hundreds or thousands of extensively interconnected and heterogeneous single IT systems performing tasks that varies from enterprise resource planning to real-time control and monitoring of industrial processes. Moreover are these systems storing a wide variety of sometimes redundant data, and typically they are deployed on several different platforms. IT does, however, not execute in splendid isolation. Organizationally, the enterprise system embraces business processes and business units using as well as maintaining and acquiring the IT systems. The interplay between the organization and the IT systems are further determined by for instance business goals, ownership and governance structures, strategies, individual system users, documentation, and cost.Lately, Enterprise Architecture (EA) has evolved with the mission to take a holistic approach to managing the above depicted enterprise system. The discipline's presumption is that architectural models are the key to succeed in understanding and administrating enterprise systems. Compared to many other engineering disciplines, EA is quite immature in many respects. This thesis identifies and elaborates on some important aspects that to date have been overlooked to a large extent. Firstly, the lack of explicit purpose for architectural models is identified. The thesis argues that the concerns of a company's Chief Information Officer (CIO) should guide the rationale behind the development of EA models. In particular, distribution of IT related information and knowledge throughout the organization is emphasized as an important concern uncared for. Secondly, the lack of architectural theory is recognized. The thesis provides examples of how theory, or analysis procedures, could be incorporated into the Enterprise Architecture approach and hereby concretely drive the development of the architectural models. Due to the nature of enterprise systems, EA theories inevitable will be of an indicative character. Finally, in relation to the models as such, three aspects are highlighted. Firstly, the cost of collecting information from the organization to populate models is routinely neglected by the EA community. This expense should be evaluated in relation to the utility of analyses that the information can provide in terms of better informed decision making by the CIO. Secondly, models (and meta-models) must be kept consistent. And thirdly, the design of models is restricted by the limited mental capabilities of the minds of the model users. CIO concerns must consequently be easy to extract from the Enterprise Architecture models.Key words: Enterprise Architecture, Enterprise System, Chief Information Officer (CIO), Information Technology (IT) Management, Architectural Theory, Electric Power Industry
An Adaptive Approach to An Adaptive Approach to Organisational Knowledge Organisational Knowledge Management

This paper presents a case for an adaptive view of organisational knowledge and suggestions for its computational implementation. Organisations and their environments are dynamic and the knowledge created and required by them is subject to rapid change. The creation, dissemination and utilisation of knowledge may be analysed using the principles of complex adaptive systems (CAS). It is suggested that organisational knowledge shows properties of an organic living entity which continuously exploits facts and information and reflects an adaptive understanding and experience of conducting business. Based on the principles of CAS, a set of basic properties of organisational knowledge is presented. The paper also introduces a computational model to explore knowledge dynamics within intranets using these properties.
Physiological Responses to Simulated Approach March in Desert and Tropic Conditions: Effects of Three Microclimate Cooling Configurations

Abstract : This study supported the U.S. Army Natick Soldier Research, Development, and Engineering Center (NSRDEC) effort to develop lightweight microclimate cooling systems (MCCS) for use by dismounted Soldiers by evaluating the cooling potentials of two prototype MCCS. This development is underway because it is known that military operations in warm and hot environments that require wearing helmets and body armor in addition to carrying the added weight of mission essential equipment pose a thermoregulatory challenge to Soldiers. For dismounted troops, load carriage of the cooling system imposes an additional metabolic burden and spatial configuration challenge. While HAZMAT and explosive ordnance disposal troops currently have MCCS available to them, it may be possible to extend the application for more dismounted troops by using a smaller capacity MCCS that reduces load carriage, or by using a vehicle-mounted MCCS only during rest periods. This study evaluated two liquid vapor compression systems in which the components differed in size, weight, and cooling capacity. One system (LO) was 93 cubic inches, and weighed 4.2 kg, with a cooling capacity of 120 W. The other system (HI) was 200 cubic inches, and weighed 6.5 kg with a cooling capacity of 250 W. The nominal 120 W of cooling and 250 W of cooling were each used continuously to reduce heat strain in volunteers exercising in desert (45 deg C Tdb, 20% rh) and tropic (35 deg C Tdb, 70% rh) environments while dressed and equipped for an approach march with approximately 33kg of clothing and equipment. A third experimental test (INT) was conducted using 250 W of cooling delivered intermittently only during rest periods. On this test, no cooling was delivered during exercise; however, the cooling vest was worn. A control test (NC) was also performed in each environment with no cooling provided at any time. On this test the volunteer wore neither the cooling vest nor the MCCS.
Influencing robot learning through design and social interactions: a balancing framework

We present a framework for addressing a challenging trade-off between influencing the learning of a robot through design and through social interactions. We identify different kinds of influences that a designer can introduce at design time, and that an expert can introduce using social interactions, and we use these to characterise a two-dimensional design space. As well as discussing how the two sources of influence affect each other, we propose how learning performance typically varies as a result, and present some empirical findings.
Complex interventions for children and young people: exploring service delivery frameworks and characterising interventions

This thesis investigates the service delivery frameworks which support complex interventions for children and young people with conduct problems, and their families. Part 1, the literature review, evaluates existing measures and other literature in the field to inform the development of a fidelity measure for the service delivery frameworks supporting complex interventions. 35 papers are examined using an approach informed by narrative synthesis to bring together the emerging themes. The service delivery frameworks which underpin interventions are little evaluated in the literature, and the review concluded that there is scope for the development of a measure to examine the service delivery elements of interventions for children and young people with conduct problems, which might be best informed by drawing on existing measures and literature on effective delivery of complex interventions. Part 2, the empirical paper, describes the development and administration of the Children and Young People – Resource, Evaluation and Systems Schedule (CYPRESS) as part of the Systemic Therapy for At Risk Teens (START) randomised controlled trial (RCT) comparing multisystemic therapy (MST) with management as usual (MAU). CYPRESS was developed on the basis of a review of existing measures in the field, as well as research into the central aspects of service delivery which support complex interventions, as an interview-based measure of the service delivery frameworks supporting complex interventions. CYPRESS was piloted with two non-START trial teams, and subsequently administered to 16 teams (8 MST and 8 MAU) taking part in the START trial. The results of these interviews were used to compare the service delivery elements supporting MST and MAU, and to characterise the MAU services in the trial. The importance of further development and testing of CYPRESS is noted. Part 3, the critical appraisal, addresses methodological considerations arising from the research, discusses implications of the work, and reflects on the process of carrying out the research, and the context in which research of this nature occurs.
Smart City Taxi Trajectory Coverage and Capacity Evaluation Model for Vehicular Sensor Networks

In a smart city, a large number of smart sensors are operating and creating a large amount of data for a large number of applications. Collecting data from these sensors poses some challenges, such as the connectivity of the sensors to the data center through the communication network, which in turn requires expensive infrastructure. The delay-tolerant networks are of interest to connect smart sensors at a large scale with their data centers through the smart vehicles (e.g., transport fleets or taxi cabs) due to a number of virtues such as data offloading, operations, and communication on asymmetric links. In this article, we analyze the coverage and capacity of vehicular sensor networks for data dissemination between smart sensors and their data centers using delay-tolerant networks. Therein, we observed the temporal and spatial movement of vehicles in a very large coverage area (25 × 25 km2) in Beijing. Our algorithm sorts the entire city into different rectangular grids of various sizes and calculates the possible chances of contact between smart sensors and taxis. We further calculate the vehicle density, coverage, and capacity of each grid through a real-time taxi trajectory. In our proposed study, numerical and spatial mining show that even with a relatively small subset of vehicles (100 to 400) in a smart city, the potential for data dissemination is as high as several petabytes. Our proposed network can use different cell sizes and various wireless technologies to achieve significant network area coverage. When the cell size is greater than 500 m2, we observe a coverage rate of 90% every day. Our findings prove that the proposed network model is suitable for those systems that can tolerate delays and have large data dissemination networks since the performance is insensitive to the delay with high data offloading capacity.
Investigation of volumetric coupling effects on particle-laden turbulent flows at dilute to moderate loadings

approved: Sourabh V. Apte Particle-laden turbulent flows are of great importance in many industrial applications and are sufficiently complex to require multiple methods of study to provide a better understanding of the dominant physical mechanisms present in these processes. This work on large-eddy simulation of particle-laden flows seeks to help provide the building blocks for larger scale models to be used in design scale analysis of industrial processes such as oxy-coal combustion power plants. Presented in this work are a series of studies related to real world particle-laden turbulent flows of practical importance, such as a particle-laden slot nozzle jet and a particle-laden channel flow at various mass loadings. The features of the particle-laden turbulent channel flow and an in depth analysis of the effects of accounting for the finite-volume of the particles is presented. Finite-volume effects are analyzed for changes in turbulent statistics as well as particle structuring. General agreement with previously published results is found and expounded upon.
AKASHI KAIKYO BRIDGE: WIND EFFECTS AND FULL MODEL WIND TUNNEL TESTS

This article discusses the design of the Akashi Kaikyo bridge over the Akashi Kaikyo Straits, Japan. This is a very long span truss- stiffened suspension bridge with an overall length of 4km. The main span is 1,900m long and the two side spans 960m long. Special attention is given to the effect of wind upon the stability of the superstructure. The effects upon flutter instability of increasing the stiffness of the truss girders is discussed, and a summary of the Japanese specifications requirements for wind resistance design are presented. The method used for carrying out a full scale aeroelastic model test in a long wind tunnel is described, and some of the preliminary results are presented. For the covering abstract of the conference see IRRD 857429.
A Comparative Analysis of Time-frequency Feature Extraction Techniques for Large Scale Electroencephalogram Data

Recognition of human emotions is a fascinating research field that motivates many researchers to use various approaches, such as facial expression, speech or gesture of the body. Electroencephalogram (EEG) is another approach of recognizing human emotion through brain signals and has offered promising findings. Although EEG signals provide detail information on human emotional states, the analysis of non-linear and chaotic characteristics of EEG signals is a substantial problem. The main challenge remains in analyzing EEG signals to extract relevant features in order to achieve optimum classification performance. Various feature extraction methods have been developed by researchers, which mainly can be categorized under time, frequency or time-frequency based feature extraction methods. Yet, there are numerous setting that could affect the performance of any model. In this paper, we investigated the performance of Discrete Wavelet Transform (DWT) and Discrete Wavelet Packet Transform (DWPT), which are time-frequency domain methods using Support Vector Machine (SVM) and k-Nearest Neighbor (KNN) classification techniques. Different SVM kernel functions and distance metrics of KNN are tested in this study by using subject-dependent and subject -independent approaches. The experiment is implemented using publicly available DEAP dataset. The experimental results show that DWT is mostly suitable with weighted KNN classifier while DWPT reported better results when tested using Linear SVM classifier to accurately classify the EEG signals on subject-dependent approach. Consistent results are observed for DWT-KNN on subject-independent approach, however SVM works better in the setting of quadratic kernel functions. These results indicate that further investigation is significant to examine the impact of different setting of methods in analyzing large scale of EEG data
Conversion of Existing Roundabouts into Turbo-Roundabouts: Case Studies from Real World

Compared with roundabouts the main advantages of turbo-roundabouts are the reduction in the number of potential conflicting points and the lower speed of vehicles passing through the intersection, they both can improve safety conditions at the junction. Moreover, the physical delimitation among lanes limits the side-by-side accident risk. These aspects make turbo-roundabouts more appropriate than roundabouts when a higher level of safety has to be guaranteed, particularly in presence of relevant pedestrian and two-wheels traffic volumes. The present paper has three main objectives: (1) to discuss general design criteria and functional principles of turbo roundabouts, (2) to give the geometric design principles of the central island and circulating lanes and (3) to present three case studies from real world concerning the conversion of existing roundabouts into turbo roundabouts.
THE EFFECT OF TQM PRACTICES ON TECHNOLOGICAL INNOVATION CAPABILITIES: APPLYING ON MALAYSIAN MANUFACTURING SECTOR

The relationship between TQM practices and innovation performance had drawn the attention of several scholars during last decade, however, this relationship still not clear and inconclusive. Therefore, this study is one of the attempts that aim to clarify the nature of this relationship. Reviewing the past studies reveals that there is somewhat ignoring in examining the indirect relationship between TQM and innovation performance. Thus, to determine and explore the effect of applying TQM practices within the organization on innovation performance, this study is aiming to investigate the relationship between TQM practices and technological innovation capabilities in Malaysian context. The obtained result of SmartPLS statistical analysis confirmed the positive effect of applying TQM practice on technological innovation capabilities. Moreover, the findings also provide an indication regarding the level of occurrence of technological innovation capabilities among Malaysian manufacturing companies. According to the output several recommendations have been highlighted to the managers of the companies.
Air Force Institute of Technology: Analysis of Information Needs and Capabilities.

Abstract : The objective of this project was to provide recommendations to the AFIT Commandant regarding AFlT's information systems and information management practices to help the Commandant respond quickly and accurately to internal management and external advocacy information requests. The scope of this project was constrained in three ways: (1) Limit analysis to processes that satisfy the Commandant's information requests (ad hoc or periodic), (2) Consider only AFIT directorates and schools as information sources, and (3) Exclude day-to-day operations of AFIT directorates and schools unless they have a direct bearing on the Commandant's information needs. The systems analysis and design team also noted that any recommendations would need to be compatible with Air University (AU) and Air Education and Training Command (AETO) information and system architectures.
Conducting linguistic experiments online with OpenSesame and OSWeb

In this Methods Showcase, we outline a workflow for running behavioral experiments online, with a focus on linguistic experiments. The workflow that we describe here relies on three tools: OpenSesame/ OSWeb (open source) provides a user-friendly graphical interface for developing experiments; JATOS (open source) is server software for hosting experiments; and Prolific (commercial) is a platform for recruiting participants. These three tools integrate well with each other, and together they provide a workflow that requires little technical expertise. We discuss several challenges that are associated with running online experiments, including temporal precision, the ability to implement counterbalancing, and data quality. We conclude that these problems are real but surmountable, and that in many cases online experiments are a viable alternative to laboratory-based experiments.
The perspectives for genetically modified cellulosic ethanol in the Czech Republic

This paper connects the biofuels literature with genetic modifications literature by considering the potential of genetic modifications for increasing the efficiency of cellulosic biofuels production. This is done for one particular case through analyzing the effect of genetically modified corn adoption on overall yields of corn for silage. Our econometric model confirms that the use of genetically modified corn with inserted MON810 gene increases the overall corn biomass yield in the production and environmental conditions of the Central Europe, in particular in the Czech Republic.
Evaluation of certain Egyptian Heterorhabditids Isolates as Molluscicidal Nematodes for the Control of Deroceras reticulatum and D. leave Slugs under Laboratory Conditions

ABSTRACT : Deroceras laeve Müller and D. reticulatum Müller are serious slugs of field crops in Egypt. Chemical control using metaldehyde baits is still the main control tactic. In 2018, a survey of terrestrial slugs at Belbies district, Sharkia Governorate, Egypt failed to find the molluscicidal nematode, Phasmarhabditis hermaphrodita. Dead slugs produced only free-living or non pathogenic nematodes belong to Family Rhabditidae. Two imported EPNs species; Steinernema carpocapsae (All strain) and Heterorhabditis bacteriophora (HP88 strain) were screened for molluscicidal activity against D. laeve and D. reticulatum compared with three Egyptian Heterorhabditis isolates, Ht strain, Ar-4 strain and Serag1 strain. S. carpocapsae (All strain) and H. bacteriophora (HP88 strain), showed promising results by killing territorial slugs. S. carpocapsae (All strain) resulted in the greatest percentage mortalities 100% in D. laeve and D.reticulatum after 14 days at a concentration of 2000IJs/cm whereas, the application of H. bacteriophora (HP88 strain) induced percentages mortality 50 and 66.67% with D. laeve and D. reticulatum, respectively. The Egyptian strain H. bacteriophora showed less molluscicidal activity against the two tested slugs. After 14 days, D. reticulatum mortalities were 36.67, 40.00 and 46.33 % by the application of H. bacteriophora (Serag1 strain), H. bacteriophora (Ht strain) and H. bacteriophora (Ar-4 strain), respectively. Whereas, the percentage mortalities were 20.00, 23.33 and 26.67 %; 10.00, 13.33 and 13.33% in D. leave at low concentrations (1000 IJs/cm2 & 500 IJs/cm2), respectively. Egyptian isolates showed less encourage usage as a specific biological control agent against D. laeve and D. reticulatum compared to S. carpocapsae (All strain) and H. bacteriophora (HP88 strain). Finally, results of this study indicate the need to an extensive survey in all Egypt to detect and isolate the slug parasitic nematode, P. hermaphrodita as it was recorded in Dakahlia governorate infesting different snails and slug species and research should proceed to find virulent isolates from EPNs to control terrestrial slugs.