Miracle-dz/UniFAR-FTUs huggingface dataset:
Connection of diurnal cycle in convective activity with seasonal march of vegetation activity over Sahel region , Africa revealed by several satellites data

Sahel region is recognized as one of regions, where the surface processes deeply coupled with the atmospheric phenomena particularly on convective activity. One of key issues in diurnal cycle of precipitation / convective activity is addressed that dynamical changes in vegetation (so-called phenology, land cover changes) are how to influencing on diurnal cycle of convection. Thus we analyzed several satellites dataset to diagnose the response in convection with vegetation status changes over Sahel region. We used MODIS level2 products (vegetation indices, surface temperature and emissivity in thermal wavelength), TRMM combined 3-hourly precipitation product (3B42) and Meteosat hourly data. A two years window (2004-2005) is set as the analysis period. In addition, IGBP.EcoMap and Gtopo30 were used for identify the land cover and topography in the study region, respectively. To divide into land cover effect on convective activity, we selected three land cover categories: forest, savanna and grassland. Then both the surface-related variables (Normalized Difference Vegetation Index; NDVI, surface temperature) and the atmosphere-related information (precipitation rate; delta Tbb, which defined as difference between Tbb in thermal-Infrared [IR] and Tbb in water vapor channel derived from Meteosat) were compositely collected with daily basis. In addition, the peak time analysis for delta Tbb was performed as similar as Ohsawa et al. (2001) but for daily basis. Moreover, time – longitude section of peak time in delta Tbb with migration and withdrawal in NDVI ware made for the inter-comparison between vegetation status changes and amplitude and phase changes in convective activity. Results could be summarized as follows: 1. Relationship between seasonal march in vegetation and rainfall amount, frequency of rain areas are well in savanna and grassland. 2. Diurnal amplitude and phase in convection is relatively constant with seasonal march in all land cover. 3. However, to pay attention the direction of sea – inland (longitude), it seems that the amplitude of diurnal cycle enhanced / decreased with seasonal migration / withdrawal African monsoon. In particular orographic convections are relatively seems to enhance in the mature season. Such fact implies that orographic and atmospheric environment changes are relatively dominant factors for the seasonal march in diurnal cycles in convection, rather than vegetation activity changing.
P o S ( T e x a s 2 0 1 0 ) 1 8 4 Transient gamma-ray emission from Cygnus X-3

The high-mass microquasar Cygnus X-3 has been recently dete cted in a flaring state by the gamma-ray satellites Fermi and Agile. In the present contri bution, we study the high-energy emission from Cygnus X-3 through a model based on the interac tion of clumps from the WolfRayet wind with the jet. The clumps inside the jet act as obsta cles in which shocks are formed leading to particle acceleration and non-thermal emission . We model the high energy emission produced by the interaction of one clump with the jet and brie fly discus the possibility of many clumps interacting with the jet. From the characteristics o f the considered scenario, the produced emission could be flare-like due to discontinuous clump pene tration, with the GeV long-term activity explained by changes in the wind properties.
1 VALIDATION AND APPLICATION OF SOURCE BASED CFD FOR NUMERICAL SIMULATIONS AND OPTIMIZATIONS IN TURBINE-RELATED CONFIGURATIONS

In order to accelerate the numerical simulation and optimization of gas turbine-related configurations, a source based CFD (SCFD) approach is developed for flow and heat transfer simulations. Different sources depending on the fluid porosity at each grid node in the computational domain are introduced to the continuity, momentum, energy and turbulence model equations, so that both the fluid and solid regions can be solved as one region. In the present paper, test cases including a ribbed channel and a winglet shrouded turbine cascade with tip injection are investigated using the SCFD and CFD with body-fitted meshes (BCFD). Impacts of grid clustering and turbulence model equation sources on the SCFD precision are examined. Numerical results show that the SCFD predicts consistent aero-thermal performance with the BCFD and experiments. The validated SCFD scheme is then employed in a response surface optimization of tip jet holes on the winglet shroud tip. A jet arrangement with the minimum energy loss and injection mass flow rate is obtained, indicating that source based predictions can be applied to the preliminary aero-thermal design of turbine blades.
Modeling the Duration of Word-Final S in English with Naive Discriminative Learning

Recent research on the acoustic realization of affixes has revealed differencesbetween phonologically homophonous affixes, for example the different kinds offinal [s] and [z] in English (Plag et al. 2017, Zimmermann 2016). Such resultsare unexpected and unaccounted for in widely-accepted post-Bloomfieldian item-and-arrangement models (Hockett, 1954), which separate lexical and post-lexicalphonology, and in models which interpret phonetic effects as consequences of different prosodic structure. This paper demonstrates that the differences in duration of English final S as a function of the morphological function it expresses (non-morphemic, plural, third person singular, genitive, genitive plural, cliticized has, and cliticized is) can be approximated by considering the support for these morphological functions from the words’ sublexical and collocational properties. We estimated this support using naive discriminative learning, and replicated previous results for English vowels (Tucker et al., 2019) indicating that segment duration is lengthened under higher functional certainty, but shortened under functional uncertainty. We discuss the implications of these results, obtained with wide learning network that eschews representations for morphemes and exponents, for models in theoretical morphology as well as for models of lexical processing.
Load Bearing Capacity of Thin Shell Structures Made of Elastoplastic Material by Direct Methods

A method is introduced to determine the limit load of thin shells using the finite element method. The method is based on an upper bound limit and shakedown analysis with the elastic-perfectly plastic material model. A nonlinear constrained optimisation problem is solved by using Newton’s method in conjunction with a penalty method and the Lagrange dual method. The numerical investigation of a pipe bend subjected to bending moments proves the effectiveness of the algorithm.
Time-Profiled Association Mining under the Constraints of Similarity 1

This paper presents the algorithm to discover all associated item sets whose prevalence variation over time are similar to the given query sequence of interest over time under a threshold from time stamped transaction database. Traditional association mining uses simple numeric interest measure (e.g. Support) and simple subset specification such that support is greater than a certain threshold. In contrast the time-profiled association mining under the constraints uses a composite interest measure that describes a discrepancy degree between its n-dimensional prevalence value sequence from a temporally divided data set and a given query sequence. The proposed algorithm substantially reduces the item set search space by exploiting interesting properties such as upper and lower bound support time sequences and lower bounding distance for early pruning candidate item sets.
No . 39 April 2017 Optimal Inflation Rate for Nepal Nepal

This paper estimates the optimal inflation rate in Nepal based on the data of the period 1978–2016. The novelty of the analysis is that it probes possible nonlinearity of the hypothesized impact of inflation on economic growth using alternative specifications. The results suggest that there exists a threshold effect of inflation. The Ordinary Least Squares method estimates the turning point of inflation to be 6.25 percent while that of the Hansen (2000) method shows the threshold level to be 6.40 percent. The maximum impact on growth associated with the turning point, and at the mean levels of other explanatory variables is quite high at 4.59 percent. JEL Classification: E31, E52, E58, O40
Towards sustainable urban distribution using city canals: the case of Amsterdam

This study investigates whether a system of hub locations distributing goods across the water to the city of Amsterdam can be a potential future solution to guarantee same-day delivery to shopkeepers. A simulation model was developed to analyse the logistics performances and to optimise the number of hub locations and required fleet size. The simulation tests have shown that two hub locations are sufficient when they are equipped with two vessels. Conclusion of this study is that a waterborne city logistics concept with a small number of hub locations can compete with truck deliverance and seems to be a sustainable solution for other cities with large canals as well.
ADAPTIVE NONLINEAR CONTROL OF THREE-PHASE SHUNT ACTIVE POWER FILTERS: POWER FACTOR CORRECTION AND DC BUS VOLTAGE REGULATION

The problem of controlling three-phase shunt active power filters (SAPF) is addressed in presence of nonlinear loads supplied with three-phase power gri ds. The SAPF-load system is shown to be modeled, in the ( �, � ) coordinate frame, by a third-order nonlinear stat e-space representation. The control objective is twofold: (i) compensating for the current harmonics and the reactive power absorbed by the nonlinear l oad; (ii) regulating the inverter DC capacitor voltage. To this end, a nonlinear adaptive controller is dev eloped on the basis, on the average system model, using th e backstepping design technique. The controller is made adaptive for compensating the uncertainty on the un known SAPF components and on the switching loss power. The performances of the proposed adaptive controller are formally analyzed using tools from the Lyapunov stability and the averaging theory. The th eoretical results are confirmed by numerical simulations.
Detecting hydrogen gas by single electron tunneling based sensors: an image processing and simulation study

Abstract. Nowadays using bureaucratic communicating models are obsoleted as a tool in order to improve the individual performance and relations based upon respect and intimacy are dominant within workplaces instead. The main purpose of this research is to review the impact of intimacy within work relations on organizational performance. Research methodology is practical; the research is descriptive-survey. Present study population is the managers and employees of Unit 7 Iran gas transfer operation. Population size is 500; sample size is determined 217 people based upon Cochran formula. In order to select the members of sample, the researcher has utilized simple random sampling method. a questionnaire which its reliability and validity are verified is utilized for data collection. Least partial squares is the analysis method of collected data, the software used in this part is Smart PLS. results indicate that organizational atmosphere, perceived organizational support and relation closeness as the dimensions of intimacy within work relations are impacting on organizational performance, such impact is direct and positive.
Analisis Kelayakan Pengembangan Biogas Sebagai Energi Alternatif Berbasis Individu dan Kelompok Peternak

Implementation of integrated cow system with biogas technology approach is one of efficient technology for cow waste treatment. The technology is using available natural microorganism to compose and process various organic matters on anaerobe condition. This will produce methane gas (CH 4 ) and carbon dioxide (CO 2 ) and qualified liquid and solid organic manure. The methane gas (CH 4 ) can be use as gas fuel (BBG). Biogas production may contribute to sustainable agriculture as renewable resources and environmental friendly. The research was aimed to analyze feasibility of biogas as alternative energy sources on farmer’s individual and group basis. Particularly, the research’s objectives are : (a) to study waste treatment performance with biogas installation at research’s site; (b) to analyze feasibility of biogas development as alternative energy sources on farmer’s individual and group basis; (c) to analyze sensitivity of biogas development on cost component and the benefit to treat waste at four different sites; (d) to identify intern and extern affecting that affect of biogas installation; and (e) to determine appropriate alternative strategy in the biogas installation development for farmer. The biogas reactor can be constructed both by cement and fiberglass. Biogas reactor from fiberglass is more effective and produces higher and better gas. Study at the four locations both on individual and group basis by using liquid and solid organic manure are contribute to increase farmer’s income. Result of financial feasibility analysis with biogas digester capacity 5 m 3 and 17 m3 and interest rate 17% shows that biogas installation project is feasible to be implemented and developed. Investment cost to construct biogas installation is Rp 19.800. 000. Financial feasibility criteria for NPV individual biogas and 30 years project life are Rp 35.173. 048, B/C ratio (2,018) and IRR (31%). Feasibility criteria for NPV group biogas and 30 years project life is Rp 259.882. 871, B/C ratio (3,787) and IRR (60%). According to the calculation of switching value, the project is sensitive on variable cost and selling price changing in the revenue.
Network Centric Warfare in the U.S. Navy's Fifth Fleet. Network-Supported Operational Level Command and Control in Operation Enduring Freedom

This case study was commissioned by the Office of Force Transformation in the United States Department of Defense to examine the employment of Network Centric Warfare (NCW) systems and practices in the U.S. Fifth Fleet’s Commander Task Force Fifty (CTF-50). The staff and commander of CTF-50, embarked on the nuclear aircraft carrier USS Carl Vinson (CVN 70), led a coalition force of 59 ships in combat operations against Afghanistan during the execution of Operation Enduring Freedom (OEF). The task force adopted a number of networking and collaboration tools that had significant effects on how CTF-50 was able to plan and execute missions in the Arabian Gulf and Afghanistan. This case study draws on NCW, technology adoption, decisionmaking and human communication theories to examine and explain the behavior of NCW system users.
The Wayback Machine: The Web's archive

Depuis son lancement en octobre 2001, la Wayback Machine (machine a remonter le temps) permet d'acceder gratuitement aux archives du Web depuis 1996, a partir des URL (Uniform Resource Locator). Ses usages sont divers : elle permet bien sur de retrouver les pages indisponibles, mais aussi d'effectuer toutes sortes de recherches historiques, par exemple sur les differentes versions d'une page. Elle offre egalement une forme de recherche avancee autorisant notamment le reperage par types de fichier et la recherche sous d'autres noms (alias). Mais la Wayback Machine, qui exclut une grande quantite de connaissances tant imprimees qu'en ligne, a ses propres limites et sa viabilite financiere a long terme est mise en question.
The Characterisation of Fibrous Materials from Measurements of Absorption Using Techniques Based on Miki's Model

In this work the authors present a method for characterizing fibrous materials from absorption measurements in the Kundt tube. Specific Flow Resistance may be calculated, using techniques based on the Miki's model. Using this model and taking measurements of absorption as a starting point, the method presented here enables one to achieve a complete characterisation of a fibrous material, with the added advantage that no special equipment is needed.
Substitution of motor function of polio survivors who have permanent paralysis of limbs by using Cybernic Voluntary Control

There are 10 to 20 millions polio survivors living around the world. Some of them cannot move their limbs by themselves. They feel inconveniences at several situations: climbing stairs; moving in a narrow space; walking. It is very difficult for polio survivors, who have permanent paralysis, to restore motor functions by using conventional rehabilitation approaches. Our aim is the assistance of motor functions of these polio survivors by using HAL. The movement support by using HAL with Cybernic Voluntary Control is possible if electrical signals based on intention of motions can be detected from the polio survivors. However, there are two issues to apply the CVC: First, the bioelectrical signal activity is extremely small and sparse in comparison with unimpaired person's signals. Second, we cannot apply conventional calibration methods to these polio survivors. This paper proposes a specific simplified CVC method for polio survivor with permanent paralysis or severe muscle weakness in their limbs. The method consists of two parts to solve the mentioned issues: a preprocessing algorithm for particular bioelectrical signals and a procedure for assistive torque generation without calibration. We applied the proposed method to the participant who has paralysis due to polio viral infection and confirmed the effectiveness. As a result, the HAL with proposed method generated enough assistive torque to lift up the participant's shank from extremely small and sparse bioelectrical signals. Although the participant's bioelectrical signal activity was extremely small and sparse, and also he could not move the left knee by himself. After we applied the proposed method, the participant was able to move his knee voluntarily. Consequently, we confirmed that the proposed method could assist the basic motor function of paralyzed polio survivor.
Word Sentiment Orientation Discrimination Based on PLSA

This paper proposes two kinds of methods to determine the sentiment orientation of a word based on Probabilistic Latent Semantic Analysis(PLSA). In the first method,the similarity matrix between target words and paradigm words is obtained by PLSA,and the polarity of each target word is then determined by voting.In the second method,we obtain the semantic cluster of target words by PLSA,and the polarity of a target word is then determined by a synonym-based method.The advantage to both methods lies in that they can work well without any external knowledge resources.
Building High Performance Data Analytics Systems based on Scale-out Models

To respond to the data explosion, new system infrastructures have been built based on scale-out models for the purposes of high data availability and reliable large-scale computations. With an increasing amount of adoptions of data analytics systems, users continuously demand high throughput and high performance on various applications. In this dissertation, we identify three critical issues to achieve high throughput and high performance for data analytics, which are efficient table placement methods (i.e. the method to place structured data), generating high quality distributed query plans without unnecessary data movements, and effective support of out-of-band communications. To address these three issues, we have conducted a comprehensive study on design choices of different table placement methods, designed and implemented two optimizations to remove unnecessary data movements in distributed query plans, and introduced a system facility called SideWalk to facilitate the implementation of out-of-band communications. In our first work of table placement methods, we comprehensively studied existing table placement methods and generalized the basic structure of table placement methods. Based on the basic structure, we conducted a comprehensive evaluation of different design choices of table placement methods on I/O performance. Based on our evaluation and analysis, we provided a set of guidelines for users and developers to tune their implementations of table placement method.
Warm Up II Performance Changes Following Active Warm Up and How to Structure the Warm Up

little scientific evidence supporting its effectiveness in many situations. As a result, warm-up procedures are usually based on the trial and error experience of the athlete or coach, rather than on scientific study. Summarising the findings of the many warm-up studies conducted over the years is difficult. Many of the earlier studies were poorly controlled, contained few study participants and often omitted statistical analyses. Furthermore, over the years, warm up protocols consisting of different types (e.g. active, passive, specific) and structures (e.g. varied intensity, duration and recovery) have been used. Finally, while many studies have investigated the physiological responses to warm up, relatively few studies have reported changes in performance following warm up. The first part of this review critically analyses reported changes in performance following various active warm-up protocols. While there is a scarcity of well-controlled studies with large subject numbers and appropriate statistical analyses, a number of conclusions can be drawn regarding the effects of active warm up on performance. Active warm up tends to result in slightly larger improvements in short-term performance (<10 seconds) than those achieved by passive heating alone. However, short-term performance
Memristors for Energy‐Efficient New Computing Paradigms

In this Review, memristors are examined from the frameworks of both von Neumann and neuromorphic computing architectures. For the former, a new logic computational process based on the material implication is discussed. It consists of several memristors which play roles of combined logic processor and memory, called stateful logic circuit. In this circuit configuration, the logic process flows primarily along a time dimension, whereas in current von Neumann computers it occurs along a spatial dimension. In the stateful logic computation scheme, the energy required for the data transfer between the logic and memory chips can be saved. The non‐volatile memory in this circuit also saves the energy required for the data refresh. Neuromorphic (cognitive) computing refers to a computing paradigm that mimics the human brain. Currently, the neuromorphic or cognitive computing mainly relies on the software emulation of several brain functionalities, such as image and voice recognition utilizing the recently highlighted deep learning algorithm. However, the human brain typically consumes ≈10–20 Watts for selected “human‐like” tasks, which can be currently mimicked by a supercomputer with power consumption of several tens of kilo‐ to megawatts. Therefore, hardware implementation of such brain functionality must be eventually sought for power‐efficient computation. Several fundamental ideas for utilizing the memristors and their recent progresses in these regards are reviewed. Finally, material and processing issues are dealt with, which is followed by the conclusion and outlook of the field. These technical improvements will substantially decrease the energy consumption for futuristic information technology.