Miracle-dz/UniFAR-FTUs huggingface dataset:
Deduplication and Decentralized Access Control in Cloud with Efficient Public Auditing Mechanism

Cloud computing is a very important area which Permits client to remotely store their data into the cloud and enjoy the oninterest excellent applications and services. However in cloud computing, since the data is put away anyplace over the globe, the client organization has less control over the stored data. So here, security and privacy are very important things. The user should to validate himself / herself before beginning any transaction, and user privacy is also important so that the cloud or other user in cloud do not know the identity of user who stored the data. This is an access control system for data store away in cloud that gives anonymous authentication. In this scheme, the cloud confirms the user without knowing the users identity before storing data in the cloud by using ABS (Attributes Based Signature). The proposed scheme uses ABE (Attribute-Based Encryption) in which the attributes are match and according to matching attribute the various access control (Read, Write) are provide to user. Also for Integrity checking trusted outsider security service provider is used who does not store any data at its end, and it’s only confined to providing security service. Thus, enabling public auditability for cloud storage is of discriminating significance so that client can resort to a third-party auditor (TPA) to check the integrity of outsourced data and be effortless. In Proposed system the task of Key distribution is done in a decentralized way, for this more than one KDC are used who shares the same databases. The scheme not only verifies the integrity of data but also performs De-duplication of files. Moreover, this authentication and access control scheme is decentralized and robust, unlike other access control schemes designed for clouds which are centralized. The Experimental result show that the proposed system is more efficient in terms of data storage and security, and also it reduces the computation overhead of user by making the use of TPA.
Preferential Voting, Accountability and Promotions into Political Power: Evidence from Sweden

Preferential voting has been introduced in a number of proportional election systems over the last 20 years, mainly as a means to increase the accountability of individual politicians. But most of these reforms have been criticized as blatant failures. In this paper, we discover a genuinely new fact, which calls into question this negative evaluation. We show that preferential voting in a general election can operate as a stand-in internal primary election for top party positions. To do this, we rely on a unique data set from four waves of Swedish local elections, which includes every nominated politician in each of 290 municipal assemblies. We use a natural-experiment (regression-discontinuity) approach to estimate the causal effect of winning the most preferential votes on becoming the local party leader, and find that narrow "list winners" are over 50 percent more likely to become party leaders than their runner-ups. Comparing across politicians, the effect of list winning is the strongest for competent politicians, who are also more likely to draw preferential votes than mediocre politicians. Comparing across municipalities, the response to narrow list winning is the strongest within unthreatened governing majorities, where voters also use the preferential vote the most frequently.
Evapotranspiration of a declining Quercus robur (L.) stand from 1999 to 2001. II. Daily actual evapotranspiration and soil water reserve

The components of actual evapotranspiration (ET) - interception (In%), tree transpiration (T) and forest floor ET - were measured from 1999 to 2001 in a mixed stand dominated by declining pedunculate oaks. Sap flux density measurements (oaks and maple) and forest floor ET [38] were extrapolated to season and stand scales by regressions with potential evapotranspiration (PET) and leaf area index (ET/ PET: 0.75 - 1.23). Oak transpiration (21 - 38% of stand transpiration) is lower than forest floor ET: forest floor can therefore not be neglected in this stand water balance. The soil water reserve dynamics deduced from those measurements reflects the inter- annual changes of water use. No water stress have been calculated on the 1999 - 2001 period, but it is suspected to have occurred previously; together with soil constraints and caterpillar defoliation, it could in part explain the severe oak decline symptoms.
A Solution to China Competitive Poker Using Deep Learning

Recently, deep neural networks have achieved superhuman performance in various games such as Go, chess and Shogi. Compared to Go, China Competitive Poker, also known as Dou dizhu, is a type of imperfect information game, including hidden information, randomness, multi-agent cooperation and competition. It has become widespread and is now a national game in China. We introduce an approach to play China Competitive Poker using Convolutional Neural Network (CNN) to predict actions. This network is trained by supervised learning from human game records. Without any search, the network already beats the best AI program by a large margin, and also beats the best human amateur players in duplicate mode.
Multimodal Attention for Fusion of Audio and Spatiotemporal Features for Video Description

Video description approaches are based on encoderdecoder sentence generation using recurrent neural networks (RNNs) by integrating temporal attention mechanisms into each model, in which the decoder network predicts each word in the description by selectively giving more weight to encoded features from specific time frames. We incorporate audio features, in addition to image and motion features, for video description based on encoder-decoder recurrent neural networks (RNNs). To fuse these modalities, we introduce a multimodal attention model that can selectively utilize features from different modalities for each word in the output description. We apply our new framework for video description using MFCC and state-of-the-art audio features such as SoundNet. Results confirm that our attention-based multimodal fusion of audio features with visual features outperforms conventional video description approaches.
Understanding Skill in EVA Mass Handling. Volume 1: Theoretical & Operational Foundations

Abstract : This report describes the theoretical and operational foundations for our analysis of skill in extravehicular mass handling. A review of our research on postural control, human-environment interactions, and exploratory behavior in skill acquisition is used to motivate our analysis. This scientific material is presented within the context of operationally valid issues concerning extravehicular mass handling. We describe the development of meaningful empirical measures that are relevant to a special class of nested control systems: manual interactions between an individual and the substantial environment. These measures are incorporated into a unique empirical protocol implemented on NASA's principal mass handling simulator, the precision air-bearing floor, in order to evaluate skill in extravehicular mass handling. We discuss the components of such skill with reference to the relationship between postural configuration and controllability of an orbital replacement unit, the relationship between orbital replacement unit control and postural stability, the relationship between antecedent and consequent movements of an orbital replacement unit, and the relationship between antecedent and consequent postural movements. Finally, we describe our expectations regarding the operational relevance of the empirical results as it pertains to extravehicular activity tools, training, monitoring, and planning.
Securable Message Authentication System in Vehicular Ad Hoc Networks by using Trusted Authority Ranjitha

The number of automobiles has been increased on th e road in the past few years. Due to high density of vehicles, the potential threats and road accident is increasing. Wireless technology is aiming to equip technology in vehicle s to reduce these factors by sending messages to each other. VA NETs have emerged as a promising approach to increasing road safety and efficiency. This can be accomplished in a variety of applications that involve communication between vehicles, such a s warning other vehicles about emergency braking etc. Message authentication is a common tool for ensuring information reliability, namely, data integrity and authenticity. When the number of messages that are received by a vehicle b comes large, traditional authentication may generate unaffordable computational overhead on the vehicle and therefore bring unacceptable delay to time-critical applications. An efficient cooperative authentication scheme for VANETs is adop ted. To reduce the authentication overhead on individual ve hicles and shorten the authentication delay, the scheme maxima lly eliminates redundant authentication efforts on the same message by different vehicles. To resist various attacks, a nd encourage cooperation, the scheme uses an evidence-token appr oach to control the authentication workload, without the direct involvement of a trusted authority (TA). When a vehi cle passes a roadside unit (RSU), the vehicle obtains an evidenc e token from the TA via the RSU. This token reflects the contribut ion that the vehicle has made to cooperative authentication in t he past, which enables the vehicle to proportionally benefit from other vehicle’s authentication efforts in the future and thus reduce its own workload. To reduce the TA overload, a novel approac h namely Buddy List Approach is proposed as the future work. The Buddy List approach avoids TA to the maximum and message authentication is done by each vehicles participati ng in the network. Our proposed techniques are effective and efficient when compared to the previous approaches through ou r experimental and simulation analysis. KeywordsCooperative authentication, free-riding attacks, Selfishness, vehicular ad hoc networks (VANETs)
Renal Hücreli ( Berrak Hücreli Tip ) Karsinomlarda Cox-2 Ekspresyonu ve Mikrodamar Yoğunluğu Cox-2 Expression and Microvessel Density in Clear Cell Type Renal Cell Carcinoma

Sonuç: Galektin-3 ve sitokeratin 19’un negatifliği maligniteyi ekarte ettirmemekle birlikte, özellikle histolojik açıdan maligniteden kuşkulanılan ancak tüm ölçütlerin karşılanmadığı olgularda pozitif boyanma malign özellik ya da potansiyel lehine değerlendirilebilir. Tiroid peroksidaz oksifilik tümörlerde benign/malign ayrımında başarısız olmakla birlikte, klinik ve histolojik açıdan malignite kuşkusu varlığında, azalmış ekspresyonu, Galektin-3 ve Sitokeratin19 pozitifliği ile birlikte malignite lehine yorumlanabilir. CD44v6 benign-malign ayrımında kullanılabilecek bir belirleyici olarak görünmemektedir.
Effects of simplifying fracture network representation on inert chemical migration in fracture‐controlled aquifers

While it is widely recognized that highly permeable ‘large‐scale' fractures dominate chemical migration in many fractured aquifers, recent studies suggest that the pervasive ‘small‐scale’ fracturing once considered of less significance can be equally important for characterizing the spatial extent and residence time associated with transport processes. A detailed examination of chemical migration through fracture‐controlled aquifers is used to advance this conceptual understanding. The influence of fracture structure is evaluated by quantifying the effects to transport caused by a systematic removal of fractures from three‐dimensional discrete fracture models whose attributes are derived from geologic and hydrologic conditions at multiple field sites. Results indicate that the effects to transport caused by network simplification are sensitive to the fracture network characteristics, degree of network simplification, and plume travel distance, but primarily in an indirect sense since correlation to individual attributes is limited. Transport processes can be ‘enhanced’ or ‘restricted’ from network simplification meaning that the elimination of fractures may increase or decrease mass migration, mean travel time, dispersion, and tailing of the concentration plume. The results demonstrate why, for instance, chemical migration may not follow the classic advection‐dispersion equation where dispersion approximates the effect of the ignored geologic structure as a strictly additive process to the mean flow. The analyses further reveal that the prediction error caused by fracture network simplification is reduced by at least 50% using the median estimate from an ensemble of simplified fracture network models, and that the error from network simplification is at least 70% less than the stochastic variability from multiple realizations.
Panoramic Stereovision and Scene Reconstruction

With advancement of research in robotics and computer vision, an increasingly high number of applications require the understanding of a scene in three dimensions. A variety of systems are deployed to do the same. This thesis explores a novel 3D imaging technique. This involves the use of catadioptric cameras in a stereoscopic arrangement. A secondary system aims to stabilize the system in the event that the cameras are misaligned during operation. The system provides a stark advantage due to it being a cost effective alternative to present day standard state-of-the-art systems that achieve the same goal of 3D imaging. The compromise lies in the quality of depth estimation, which can be overcome with a different imager and calibration. The result was a panoramic disparity map generated by the system.
Prevalência de antibióticos no leite pasteurizado tipo B e Especial 3,2% de Gordura consumidos em Belo Horizonte, 1982-83.

Foram colhidos pacotes de 1000ml de leite pasteurizado tipo B e Especial 3,2% de gordura de tres marcas comerciais, nos supermercados de Belo Horizonte , num total de 96 e 288, respectivamente. A colheita se realizou durante 12 meses, sendo duas vezes por semana. Os pacotes foram acondicionados em caixas isotermicas e conduzidos para o laboratorio do Departamento de Tecnologia e inspecao de produtos de Origem Animal na Escola de Veterinaria da UFMG.
A review of nucleation, growth and low temperature synthesis of diamond thin films

Diamond thin films have outstanding optical, electrical, mechanical and thermal properties, which make these attractive for applications in a variety of current and future systems. In particular, the wide band gap, optical transparency and unusually high thermal conductivity of diamond thin films make them an ideal semiconductor for applications in current and future electronics. However, synthesis of diamond thin films with adequate quality remains a challenging task. Synthesis of diamond at low temperatures is even more challenging because of the difficulties in the nucleation and growth steps involved in diamond thin film deposition on a variety of substrates. Among the several deposition techniques for synthesising diamond films, plasma enhanced chemical vapour deposition is the most promising technique because of its potential for low temperature synthesis. Consequently, the first part of this paper reviews the current state of the nucleation and growth of diamond during chemical vapour deposition. A uniform and high nucleation density is a prerequisite for getting a good quality diamond film with significant growth rate. Also, since the process conditions for nucleation and growth steps are different, attempts are made in this review to identify the important parameters responsible for enhancing the nucleation and growth rates of diamond film. Describing the indispensable need for low temperature growth of diamond film, the second part of the paper reviews the research on the growth of diamond thin films at low temperatures. In spite of the slower kinetics at lower deposition temperatures, an attempt is made to identify the key processing conditions, which enhance the low temperature growth process. In addition, the mechanisms of diamond nucleation and growth are discussed based on the observations from in situ characterisation techniques such as Fourier transform infrared reflection absorption spectroscopy, real time spectroscopic ellipsometry and molecular beam mass spectroscopy.
Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory

Some usability and interpretability issues for single-strategy cognitive assessment models are considered. These models posit a stochastic conjunctive relationship between a set of cognitive attributes to be assessed and performance on particular items/tasks in the assessment. The models considered make few assumptions about the relationship between latent attributes and task performance beyond a simple conjunctive structure. An example shows that these models can be sensitive to cognitive attributes, even in data designed to well fit the Rasch model. Several stochastic ordering and monotonicity properties are considered that enhance the interpretability of the models. Simple data summaries are identified that inform about the presence or absence of cognitive attributes when the full computational power needed to estimate the models is not available.
Learning to Understand Spoken Commands through a Human-Robot Training Task アウスターマン・アニャ

We propose a method by which a robot can learn parameterized, naturally spoken commands, like “Please switch the TV on! ”, “It’s too dark here” or “Can you bring me a coffee? ” through natural interaction with a user in a training task. The goal of the training phase is to allow the user to give commands to a robot in his or her preferred way instead of learning predefined commands from a handbook. In the training phase, a simplified living room scene is shown on a screen. The robot can request the task server to show a situation, which requires an action from the robot. E.g. the light is switched off and the room is dark. The user instructs the robot by giving appropriate commands like “Please switch the light on”. The robot uses these utterances to learn to understand the user’s instructions. Learning is done in two successive steps. First the robot learns object names. Then it uses the known object names to learn parameterized command patterns and determine the positions of the parameters in a spoken command. The algorithm uses a combination of Hidden Markov Models and Classical Conditioning to handle alternative ways to utter the same command and integrate information from different modalities.
Baffin Bay ice drift and export: 2002–2007

Multiyear estimates of sea ice drift in Baffin Bay and Davis Strait are derived for the first time from the 89 GHz channel of the AMSR‐E instrument. Uncertainties in the drift estimates, assessed with Envisat ice motion, are ∼2–3 km/day. A persistent atmospheric trough, between the coast of Greenland and Baffin Island, drives the prevailing southward drift pattern with average daily displacements in excess of 18–20 km during winter. Over the 5‐year record, the ice export ranges between 360 and 675 × 103 km2, with an average of 530 × 103 km2. Sea ice area inflow from the Nares Strait, Lancaster Sound and Jones Sound potentially contribute up to a third of the net area outflow while ice production at the North Water Polynya contributes the balance. Rough estimates of annual volume export give ∼500–800 km3. Comparatively, these are ∼70% and ∼30% of the annual area and volume exports at the Fram Strait.
Diversity of chironomid larvae in a marginal fluvial wetland of the Middle Paraná River floodplain, Argentina.

The diversity of chironomid larvae in relation to flooding and drought phases in a marginal fluvial wetland of the Middle Parana River floodplain was analyzed. Four sampling stations in the right bank of the Tiradero Viejo River towards the interior of the marginal wetland were established: one at the riverside, and three more at 10, 30 and 40 m from the river. Bottom sediment samples were extracted during the hydrosedimentological cycle of 2001. A total of 25 taxa of Chironomidae were recorded. The values of taxonomic richness, density and diversity were higher in the marginal fluvial wetland than in the riverside, increasing when the wetland is disconnecting from the river. Polypedilum (Tripodura) spp. , Polypedilum (Polypedilum) spp. , Ablabesmyia (Karelia) spp. , Coelotanypus sp. , Monopelopia cf. boliekae, Goeldichironomus holoprasinus and Chironomus gr. decorus spp. were dominant in marginal wetlands. The results indicate that the variations in the hydrosedimentological regime, the degree of disconnection with the river and the progressive desiccation at each one of the stations of the marginal fluvial wetland are limitant factors in the distribution and abundance of aquatic chironomids. The different assemblages of Chironomidae were strongly conditioned by temporal changes related to the gradient of inundation-drought and to the hydroperiod dynamics.
Gray Whale Distribution and Catch by Alaskan Eskimos : A Replacement for the Bowhead Whale ?

The catch of gray whales, Eschrichrius robustus, by Alaskan Eskimos from 1925 to 1980 has been documented to the extent possible by a search of the literature and personal communications with knowledgeable sources. During the period 1950-1980,47 gray whales were landed by hunters at 12 villages. During this same period, 505 bowhead whales, Balaena mysricetus, were landed at nine coastal whaling villages. Alaskan Eskimos traditionally have been bowhead whalers, principally because of the predictive nature of the bowheads’ migration. Gray whaling has never been an important subsistence activity. Because the bowhead population is thought to be depleted, gray whales have been suggested as a possible substitute for subsistence. The distribution of gray whales in Alaskan coastal waters is such that reliable annual whaling for this species is possible only at villages on the shores of the northern Bering Sea; it is unlikely for villages north of Bering Strait to Cape Lisburne, and more unlikely for villages north of Cape Lisburne and east of Point Barrow. Based on cultural and biological grounds, substituting gray whales for bowheads does not appear to be a reliable alternative for the residents of four to six of the nine Eskimo villages that currently participate in bowhead whaling.
SimBCI-Tool to simulate EEG and BCI

Introduction: Electroencephalogram (EEG) data from human experiments is commonly used to study Brain-Computer Interface (BCI) methods. Unfortunately real data is costly to obtain and its composition is apriori unknown. The brain mechanisms generating the EEG are not directly observable and their states cannot be uniquely decided from the EEG due to the volume conduction process [1]. Subsequently, we do not have generative ground truth for real data. This makes it difficult to analyze and understand the behavior of applied signal processing methods. We propose a free, open source tool called SimBCI to alleviate the situation through simulation1. Currently the tool requires Matlab.
Meeting Geophysical Challenges: Application of Automated Detection Techniques in Magnetic Data for Identification of Cu-Au Porphyries in Covered or Magnetic Terrains

INTRODUCTION Magnetic datasets are a common and inexpensive geophysical tool for porphyry Cu-Au exploration used throughout the exploration process. As porphyry exploration for undercover systems gathers pace and the number of targets with classical geophysical signatures dwindles, a need has arisen for flexible and interactive processing tools. These tools should be capable of producing meaningful results in a variety of target regimes at all scales and geological environments.