Miracle-dz/UniFAR-FTUs huggingface dataset:
A Preliminary Evaluation of a Readiness-Based Repairable Item Inventory Model for the U.S. Navy

Abstract : A new wholesale level replenishment model is proposed for managing the Navy's inventories of repairable items. It is a readiness-based model which seeks to determine the depths of items of a weapon system which minimize the system's Mean Supply Response Time subject to budget constraint. The model incorporates both a batch procurement and batch repair of the items. Required inputs to this model are the specified values of each. The model assumes that demand is a Poisson process. The model formulation is presented. The solution procedure, which uses marginal analysis, is described. The budget generation process is also described. The model's performance is illustrated with an example of ten items. The results show that the proposed model provides much better Mean Supply Response Time values than the current Navy model. As an added benefit, it also gives better Supply Material Availability values that the current model. Results are also presented of a study conducted to determine potentially desirable values for the procurement order quantity and repair induction quantity. Finally, the use of a Mean Supply Response Time goal to determine the depths of the items is illustrated.
Artificial intelligence based event detection in wireless sensor networks

Wireless sensor networks (WSNs) are composed of large number of small, inexpensive devices, called sensor nodes, which are equipped with sensing, processing, and communication capabilities. While traditional applications of wireless sensor networks focused on periodic monitoring, the focus of more recent applications is on fast and reliable identification of out-of-ordinary situations and events. This new functionality of wireless sensor networks is known as event detection. Due to the fact that collecting all sensor data centrally to perform event detection is inefficient in many occasions, the new trend in event detection in wireless sensor networks is to perform detection in the network. Design of in-network event detection methods for wireless sensor networks is by no means straightforward, as it needs to efficiently cope with various challenges and concerns including unreliability, heterogeneity, adaptability, and resource constraints. In this thesis, we tackle this problem by proposing fast, accurate, in-network, and intelligent event detection methods using artificial intelligence (AI) and machine learning (ML) approaches. To this end, the main objective of this thesis is to analyze, investigate applicability, and optimize artificial intelligence (AI) and machine learning (ML) methods for efficient, distributed, local and in-network event detection in wireless sensor networks (WSNs).
Robust Stability and Performance Analysis of Large Scale Power Systems with Parametric Uncertainty: A Structured Singular Value Approach

Wine Festival takes place in the homestead museum Georgikon, the same passion Robust Stability and Performance Analysis of Large Scale Power Systems With Parametric Uncertainty: A Structured Singular Value Approach by Rafael B. Castellanos pdf positive. With the privatization of property complex to attract the audience specifies the official plan. Sponsorship, of course, essentially selects mythological psychosis.
Comment on hess-2020-558

This manuscript reports on a study that evaluates the influence of uncertainties in meteorological forcings mainly precipitation and temperature, on the mountain system recharge. The study finds substantial differences in various components of mountain system recharge when the same hydrologic model, used to simulate those components, are driven by different combinations of meteorological forcings. The study highlights the need for improvement in quality of atmospheric forcings in mountainous regions. The topic of this study is certainly suitable for publication, the manuscript is well written and easy to follow. In my opinion though more could be done to address the robustness of the results of this study which would make this an important study and definitely suitable for publication
Amlioration de la dtection d'caillages de roulements par dbruitage des signaux vibratoires

Dans la maintenance conditionnelle de composants mecaniques par analyse vibratoire, on distingue deux types d'analyses qui sont necessaires pour l'obtention d'un diagnostic fiable. La premiere analyse reside dans la detection de defauts potentiels et il existe actuellement differentes methodes abouties basees sur le traitement des signaux vibratoires permettant la localisation d'un defaut. On peut citer parmi ces methodes l'analyse spectrale (a resolution constante (RC) ou a pourcentage de bandes constant (PBC)), l'analyse d'enveloppe, l'analyse cepstrale, l'analyse temps-frequences ou l'analyse temps-echelles (ondelettes). La seconde analyse s'interesse quant a elle a la determination et l'evaluation de la severite d'un defaut detecte pour estimer l'influence de ce defaut sur le fonctionnement d'un mecanisme. Les indicateurs vibratoires, qui permettent de pouvoir correler la severite d'un defaut a sa signature vibratoire, sont des indicateurs dits globaux qui sont bases sur l'analyse statistique d'un signal temporel. Cependant, les signaux issus de capteurs accelerometriques sont le resultat d'un melange de sources de vibrations, sources pouvant etre attribuees a un ou plusieurs defauts et sont generalement pollues par du bruit. Ce travail presente les trois principales methodes de debruitage et l'etude de leur influence sur les parametres scalaires (kurtosis, facteur crete) et ce dans le cadre de la detection de defauts de type ecaillage de roulements.
Fire Design of Single Storey Industrial Buildings

This report aims to establish a design methodology for meeting basic fire safety objectives within single storey industrial buildings using a 'common-sense' approach. A wide range of fire safety issues are addressed, ranging from environmental protection to life safety and structural performance. The emphasis is on meeting the performance requirements of the New Zealand Building Code for fire safety and hazard management. Given that industrial buildings are likely to fall into a high fire hazard category, alternative fire engineering design methods are deemed necessary for Building Code compliance. Attention is also given to issues that are not part of Building Code requirements or acceptable solutions. A fire safety strategy is recommended for an industrial site, with the focus on establishing a level of 'acceptable loss'. A risk assessment provides the means to meet loss control objectives. This should form the basis for a new buildings' fire protection design, plus the on-going fire safety management programme. Automatic alarms are considered essential for life safety and property protection, with sprinklers being the only method of controlling a fire within a typical industrial complex. The Fire Service cannot be expected to attack and suppress a fire from receiving an alarm call without sprinlder support. The Fire Service can, however, be expected to control the spread of fire to neighbouring property given certain conditional events work in their favour. The act of prewetting neighbouring combustible surfaces and thereby increasing the critical radiation intensity for pilot ignition, is considered very effective in preventing fire spread. Increasing fire rating requirements fo_r boundary walls based on withstanding equivalent fire severities for the 'design' fire, is considered overly conservative. A maximum rating of 4 hours is recommended for any boundary wall. This recommendation is based on maximum values used in overseas Codes and assumes that boundary walls are connected to primary support structures and adjoining wall panels, so that if they fail they collapse inwards as one complete unit. The report provides a comprehensive list of conclusions that expand on the above overview, plus recommends areas for future research. j j j j j j j j j j j j j j j j j j j j j j j j j ·' j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j
D-shaped Photonic Crystal Fiber Based on Surface Plasmon Resonance Sensor with Metal Nanodimers Array

A D-shaped photonic crystal fiber (PCF) sensor with metal nanodimers array is presented and demonstrated for analyte detection with refractive index (RI) ranging from 1.28 to 1.37. In contrast to previous D-shaped PCF sensors, the coupling system is composed of Au-Ag nanodimers array, Silver (Ag) nanowires are arranged under the Gold (Au) array on the D-shaped surface, which cause the electric field within a confined volume is strongly enhanced, and the sensitivity of the surface plasmon resonance to dielectric environment of this volume to be promoted by near-field coupling. The finite element method (FEM) is adopted to numerical investigate the coupling characteristics and sensing performance of the PCF sensor in the near-infrared region. An average wavelength sensitivity (WS) of 14021 nm/RIU is attained,and a maximum WS of 16380 nm/RIU is acquired with a supernal RI resolution of 6.11×10 -6 RIU, which has an excellent application prospect in the fields of biological, biochemical and environmental detection.
Use of direct-reading instruments for measuring airborne nanoparticles in the workplace

This work strived to increase knowledge of assessing airborne nanoparticles in the workplace by characterizing nanoparticle concentrations in a workplace using directreading instruments, evaluating a DC2000CE diffusion charger, and the creation of a personal diffusion battery (pDB). Direct-reading instruments were used with aerosol mapping and task monitoring to evaluate airborne nanoparticle concentrations in an apparel company that produces waterproof jackets composed of polytetrafluoroethylene membrane laminated fabric. Jacket production required that sewn seams be sealed with waterproof tape applied with hot air (600°C). Particle number concentrations were greater in the sewing and sealing areas than the office area while respirable mass was negligible throughout the facility. The breathing zone particle number concentrations of the workers who sealed the sewn seams were highly variable and significantly greater when sealing seams than when conducting other tasks (p<0.0001). The effectiveness of the canopy hoods used to ventilate sealing operations was poor. These measurements support the idea that work places where hot processes are conducted may have substantially greater concentrations of airborne nanoparticles than background measurements even with control measures in place. Laboratory tests were conducted to evaluate a commercially available diffusion charger, the DC2000CE, that measures nanoparticle surface area concentration. The surface area concentrations of unimodal and multimodal polydispersed aerosols measured by the DC2000CE were less than the surface area concentrations measured by the reference instruments. The differences in results were attributed to a difference of measuring active versus geometric surface area concentration and the design of the DC2000CE. The maximum measurable active surface area concentration (2,500 mm m) was found to be greater than the manufacturer stated maximum (1000 mm m). Moving or vibrating a DC2000CE while taking measurements can cause
‘I lost the faith in humanity.’ Using William Golding’s Lord of the Flies to explore ethical and moral issues through transnational, online literary exchange

ABSTRACT Researchers into Literature and Education from Norway, Pakistan and the United Kingdom used William Golding’s Lord of the Flies to explore the potential of a literary text to encourage intercultural dialogue, employing an innovative teaching method, Google Circles, to provide a platform for asynchronous online discussion among three cohorts of students in higher education. The authors present here the ethical and moral responses to the novel. The authors’ analysis of the data explores the students’ thoughts about human nature and law and order, as well as responses made by the students to moral turning points in Golding’s novel. The authors report that – although the novel provided a space for students from three national contexts to debate major existential questions using the affordances of the asynchronous digital platform – the students found it difficult to distinguish between the writer, the implied author and the narrative voice.
Creativity Practice in Teaching and Facilitating (PDPC) Malaysia's PVMA Automotive Due Covid-19 Pandemic

The need for instructors who are creative in conducting PVMA automotive teaching process is a key requirement in this study. The world was taken aback with the Covid-19 outbreak and Malaysia recorded its first case back in January 2020. The outbreak forced all educational institutions to be closed immediate, making it hard for instructors to carry out a physical learning session. This posed as a challenge to teachers and creative teaching is seen to be a great solution especially in the PVMA (automotive) field by diversifying teaching techniques in the previous teaching and facilitation (PdPc) to the current situation by adopting blended learning via online and face-to-face interaction. Therefore, a qualitative study was conduction to collect data on creative teaching. Data were obtained through interviews submitted to experts answer the research questions and reached data saturation point by the fifth expert. Interview transcripts were analyzed using NVivo software and the open coding showed the teacher's creativity level is very high in helping students to master their learning especially in the PVMA automotive. There are five constructs found from the interview analysis namely PdPc techniques, teacher personality, knowledge, environment, motivation and thinking skills. That construct is aligned with the six elements of creativity in Stenberg's creative teaching theory namely environment, motivation, knowledge, intelligence, personality and thinking style. Therefore, this study suggests that training and experience can help teachers to develop creativity in PdPc process. The training received by the instructors should cover the latest technology used in the industry to apply the skills and knowledge to students during the teaching and facilitation process.
Institutions and the Eﬀectiveness of Environmental Protection

This article uses satellite data to estimate the eﬀectiveness of government protection on forested land across the globe over 2000-2018. Since deforestation is a signiﬁcant contributor to precipitous declines in biodiversity, spillover of zoonotic viruses and climate change, measuring and analysing the eﬀectiveness of protection is important for the future of conservation. It uses a regression discontinuity design at the boundaries of protected forest to overcome the fact that protection is not randomly assigned. It ﬁnds that many countries lack eﬀective protection, and that eﬀectiveness is strongly related to the quality of institutions and negatively related to economic development.
Development and Demonstration of a 25 Watt Thermophotovoltaic Power Source for a Hybrid Power System

The development of a propane-fueled, 25 W thermophotovoltaic (TPV) power source for use in a hybrid power system is described. The TPV power source uses a platinum emitting surface with an anti-reflective coating to radiate to gallium antimonide photocells, which converts the radiation to electric power. The development program started with the design and fabrication of an engineering prototype system. This was used as a component development vehicle to develop the technologies for the various components. A 25 W demonstration prototype was then designed and fabricated using the most advanced component approaches. The designs and test results from this development program are discussed.
Mining biomarkers for the occurrence, development and therapeutic response to infliximab of rheumatoid arthritis based on weighted gene co-expression network analysis

Rheumatoid arthritis (RA) is a chronic systemic autoimmune and recurrent disease characterized by joint lesion with high disability rate and poor prognosis. Although anti-TNF therapy (infliximab) has been validated to be effective in controlling the symptoms of RA, more than one-third of patients cannot benefit from anti-TNF therapy. Therefore, it is critical to explore novel biomarkers associated with the occurrence and development of the disease, and therapeutic response of infliximab treatment. In this study, we first analyzed differentially expressed genes (DEGs) between RA patients and healthy controls. Subsequently, WGCNA was used to analyze the co-expression module (tan module) associated with the therapeutic response of infliximab treatment in RA, which further found that the genes (a total of 102) in the module tan were also the DEGs between RA patients and healthy controls (confirming that the close correlation of these genes with the occurrence and development of RA). Subsequently, enrichment analysis revealed that these 102 genes were mainly related to the body’s inflammatory immune response and the functions of NOD-like receptor signaling pathway as well as miR-146a-5p. Moreover, protein-protein interaction (PPI) was constructed on the 102 genes, followed by mining the key genes in the network (a total of 14 genes) by topological analysis. Finally, we confirmed that 10 genes (OAS1, STAT1, IFIT3, IFIT2, IFI6, RSAD2, OASL, GBP2, IRF7 and IFIT1) were potential biomarkers for the occurrence and development, as well as the therapeutic response against infliximab treatment in RA by analyzing the differences in the expressions of these genes between RA and healthy control samples, as well as drug response and non-response samples. Therefore, this study can provide guidance on medication selection and prognostic prediction of RA patients for clinicians, which can also identify relevant genes to provide therapeutic targets for precise medicine.
Creating & Delivering Your Value Proposition: Managing Customer Experience for Profit

Chapter - 00: Introduction Chapter - 01: What do you really think about customers? Chapter - 02: What is a value proposition? Chapter - 03: The value-focused approach Chapter - 04: Creating your value proposition Chapter - 05: Value Proposition Builder: Market Chapter - 06: Value Proposition Builder: The value experience Chapter - 07: Value Proposition Builder: Offerings Chapter - 08: Value Proposition Builder: Benefits Chapter - 09: Value Proposition Builder: Alternatives and differentiation Chapter - 10: Value Proposition Builder: Proof Chapter - 11: Value proposition template and value proposition statement Chapter - 12: Message development Chapter - 13: Implementation Chapter - 14: Starting and sustaining Chapter - 15: The value-focused enterprise
Bi-fuel NGVM engine emission results based on non-loaded system operation

Alternative fuels for the internal combustion engines are introduced as an improved fuel over mainstream conventional fuels such as petrol and diesel. Compressed Natural Gas (CNG) is the most successful and widely used alternative fuels that helps mitigate emission problem caused by vehicles. Mainstream fuelled vehicles are fitted with a conversion kit to enable the operation with CNG, these converted vehicles are called Natural Gas Vehicles. A bi-fuel engine test rig was fabricated using a 1500cc 12 Valve engine fitted with a Landi Renzo conversion kit enabling operations on petrol and natural gas. This test rig was used to conduct experiments to obtain the fuel consumption and the corresponding exhaust emission quality. The results obtained were compared with the actual data of NGV taxi fitted with Tartarini conversion kit for validation purpose. The findings from this experimental rig are used as a comparison between the use of petrol and natural gas as fuel for vehicles. The results clearly prove that the use of natural gas provides improved exhaust emission at lower cost
Investigation of flow pattern for a confluent-jets system on a workbench of an industrial space

A new air supply terminal based on confluent jets was installed on a workbench, in vicinity of a CNC machine, of an industrial space. The flow pattern and temperature field was carried out by CFD calculations and infrared camera imaging technique. A main goal of this technique is to save energy therefore the jet should distribute the air where it is desired. This is possible because the confluent jets system uses the benefits of both mixing (high momentum for better spreading of the air jet) and displacement (cleaner air in occupied zone). The results show that thermal comfort and air quality analysis relies on consistent facts and is in good agreements with the existed standards. It was shown that the supply terminal is able to spread the fresh air to the needed work area. This is an advantage of the high momentum air distribution system used in this investigation.
Aircraft dynamic navigation for unmanned aerial vehicles

This thesis describes the investigation of an Aircraft Dynamic Navigation (ADN) approach, which incorporates an Aircraft Dynamic Model (ADM) directly into the navigation filter of a fixed-wing aircraft or UAV. The result is a novel approach that offers both performance improvements and increased reliability during short-term GPS outages. This is important in allowing future UAVs to achieve routine, unconstrained, and safe operations in commercial environments. The primary contribution of this research is the formulation Unscented Kalman Filter (UKF) which incorporates a complex, non-linear, laterally and longitudinally coupled, ADM, and sensor suite consisting of a Global Positioning System (GPS) receiver, Inertial Measurement Unit (IMU), Electronic Compass (EC), and Air Data (AD) Pitot Static System.
Whole life cost methods for aero-engine design

This research was motivated by the move of aero-engine manufacturers to provide services as well as products. With leasing arrangements such as TotalCare©, the aero-engine manufacturers are responsible for the operation, management and maintenance of their products while airlines pay a contracted rate for their use. As a result, aero-engine manufacturers need to minimise the cost their products incur over their lifecycle to increase profits. It is widely accepted that the greatest scope to reduce costs is in the design stage. Hence, the aim of this thesis is to create tools and methodologies for designers which will allow them to monitor the impact of design decisions on whole life cost. Two different approaches to designing for whole life cost were presented. The Life Cycle Cost (LCC) approach and the comparatively novel Value Driven Design (VDD) approach. It was observed from research literature that models for both LCC and VDD need to be tailored to specific objectives in order to keep the scope of the model manageable. This makes generic LCC or VDD models unfeasible and consequently the reuse of these models is limited. With this in mind, a methodology was developed for creating integrated analyses models which were customisable, modular and transparent so as to facilitate future modification and reuse. It used a commercial software integration package called Isight, and modular analyses modules. Model Based Systems Engineering (MBSE) was also used in the development of the integrated model architecture. Case studies were performed for both LCC and VDD approaches to allow comparison of their respective merits and flaws. Finally several avenues of future work in VDD and MBSE were discussed.