Miracle-dz/UniFAR-FTUs huggingface dataset:
A suitable battery technology for PV-Battery Integrated Module

PV-Battery Integrated Module is a concept of integrating all of the components needed in a PV-battery system. While having several advantages compared to the standard system, the configuration of a PBIM also has a drawback. The batteries are attached to the back of the PV module, which could increase the operating temperature of the battery. This could lead to a reduction of the lifetime battery. Other than the drawback, PBIM also has several battery criteria. This thesis aims to do a selection of a battery which shows the least impact to the elevated temperature and could fit into the criteria.Firstly, a literature study is performed to select the battery candidates. The battery is expected to have a high energy density, adequate surface area, high lifetime, relatively low price, and good safety. Lithium iron phosphate (LFP) and lithium cobalt oxide (LCO) are chosen as the battery candidates as they fit into the criteria.Secondly, a series of modeling are performed. The models are designed to understand the effect of PBIM to the lifetime of the battery and also expected to support the battery candidates selection. Moreover, the modeling is used to design a lifetime battery testing. The models consist of a PV model and battery models. The PV model results in power generation profile in a selected location with a specific load. The battery modeling is divided into three parts, electrical, thermal, and lifetime modeling. An integration of the PV and the battery models is done to simulate a PBIM. With this integrated model, lithium-ion is proven to have a superior lifetime compared to other batteries.Thirdly, a lifetime battery testing is designed with the help of the integrated model. The battery testing replicates the actual working conditions of a PBIM. The battery testing is performed in two constant temperatures with two different current profiles. The current profiles represent higher and lower C-rates, and used to examine the effect of different C-rates on a battery lifetime. The constant temperatures are chosen to study the battery safety and lifetime performance in normal and elevated temperatures. Based on this designed battery testing, LFP cells have longer lifetime than the LCO cells. Therefore, LFP is chosen as the more suitable battery technology for PBIM.
A Survey on VANET Security: Issues, Challenges and Solutions

Vehicular Ad-hoc Network (VANET) is an foundation less system. It gives upgrade in security related systems and solace while driving. It empowers vehicles to share data with respect to security and movement investigation. The extent of VANET application has expanded with the current progresses in innovation and improvement of keen urban communities over the world. VANET give a mindful framework that has major affect in improvement of movement administrations and in decreasing street mishaps. Data partook in this framework is time touchy also, requires strong and snappy framing system associations. VANET, being a remote specially appointed system, fills this need totally however is inclined to security assaults. Exceedingly powerful associations, delicate data sharing and time affectability of this system, make it an eye-getting field for assailants. This paper speaks to a writing study on VANET with essential worry of the security issues and difficulties with it. Highlights of VANET, engineering, security necessities, assailant sort and conceivable assaults in VANET are considered in this study paper.
Guiding power/quality exploration for communication-intense stream processing

In this paper, we explore the power/quality trade-off for streaming applications with a shift from the computation to the communication aspects of the design. The paper proposes a systematic exploration methodology to formulate and traverse power/quality trade-off for the class of adaptive streaming applications. The formalization enables to procedurally transition from a set of design requirements to architecture goals. The architecture goals can then be realized through design choices yielding system designs that meet the initial requirements. The reported results are based on an actual implementation of Mixture of Gaussian (MoG) background subtraction on Xilinx Zynq platform.
Absence of Fer protein tyrosine kinase exacerbates endotoxin induced intestinal epithelial barrier dysfunction in vivo

Background and aims: Fer kinase is activated by a number of growth factors and cytokines, and phosphorylates cortactin during cell shape change induced cortical actin reorganisation. In addition, Fer participates in cytoskeletal interactions mediated by cadherins, platelet endothelial cell adhesion molecule 1 (PECAM-1), and integrins, and has recently been implicated in limiting the innate immune response. Here we examined the role of Fer in modulating leucocyte recruitment and epithelial barrier function in the gut in response to lipopolysaccharide (LPS). Methods: Mice targeted with a kinase inactivating mutation (FerDR) or strain matched wild-type (129Sv/J) mice were studied after intraperitoneal injection of LPS. Intravital microscopy was used to examine intestinal leucocyte kinetics, and leucocyte infiltration was assessed by fluorescence activated cell sorting. Systemic inflammation was assessed by measuring lung myeloperoxidase activity. Epithelial barrier function was assessed in vivo using blood to lumen 51Cr-EDTA clearance, with or without antibody based depletion of circulating neutrophils. Results: LPS induced a significant increase in leucocyte adhesion and neutrophil infiltration into the intestinal tissue, and increased blood to lumen 51Cr-EDTA clearance. Pretreatment with neutrophil depleting antibody completely abrogated this response in wild-type mice. In FerDR mice, LPS induced leucocyte adhesion within the intestinal venules was exacerbated and associated with a trend towards increased neutrophil transmigration relative to wild-type mice. Surprisingly, LPS induced epithelial barrier permeability was increased 2.5-fold in FerDR mice relative to wild-type mice, and this barrier defect was only partly attenuated by depleting circulating neutrophils by >93 %. Conclusions: Fer plays a role in regulating LPS induced epithelial barrier dysfunction in vivo through both neutrophil dependent and neutrophil independent mechanisms.
FSM decomposition by direct circuit manipulation applied to low power design

Clock-gating techniques are very effective in the reduction of the switching activity in sequential logic circuits. In particular, recent work has shown that significant power reductions are possible with techniques based on finite state machine (FSM) decomposition. A serious limitation of previously proposed techniques is that they require the state transition graph (STG) of the FSM to be given or extracted from the circuit. Since the size of the STG can be exponential on the number of registers in the circuit, explicit techniques can only be applied to relatively small sequential circuits. In this paper, we present a new approach to perform FSM decomposition by direct manipulation of the circuit. This way, we do not require the STG, either explicit or implicit, thus further avoiding the limitations imposed by the use of BDDs. Therefore, this technique can be applied to circuits with very large STGs. We provide a set of experimental results that show that power consumption can be substantially reduced, in some cases by more than 70%.
Domain defects in systems of two real scalar fields

In this work we investigate the role of the symmetry of the Lagrangian on the existence of defects in systems of coupled scalar fields. We focus attention mainly on solutions where defects may nest defects. When space is non-compact we find topological BPS and non-BPS solutions that present internal structure. When space is compact the solutions are nontopological sphalerons, which may be nested inside the topological defects. We address the question of classical stability of these topological and nontopological solutions and investigate how the thermal corrections may modify the classical scenario.
A Task Independent Oral Dialogue Model

This paper presents a human-machine dialogue model in the field of task-oriented dialogues. The originality of this model resides in the clear separation of dialogue knowledge from task knowledge in order to facilitate for the modeling of dialogue strategies and the maintenance of dialogue coherence. These two aspects are crucial in the field of oral dialogues with a machine considering the current state of the art in speech recognition and understanding techniques. One important theoretical innovation is that our dialogue model is based on a recent linguistic theory of dialogue modeling. The dialogue model considers real-life situations, as our work was based on a real man-machine corpus of dialogues.In this paper we describe the model and the designed formalisms used in the implementation of a dialogue manager module inside an oral dialogue system. An important outcome and proof of our model is that it is able to dialogue on three different applications.
Live mixed-reality 3D video in soccer stadium

This paper proposes a method to realize a 3D video display system that can capture video from multiple cameras, reconstruct 3D models and transmit 3D video data in real time. We represent a target object with a simplified 3D model consisting of a single plane and a 2D texture extracted from multiple cameras. This 3D model is simple enough to be transmitted via a network. We have developed a prototype system that can capture multiple videos, reconstruct 3D models, transmit the models via a network, and display 3D video in real time. A 3D video of a typical soccer scene that includes a dozen players was processed at 26 frames per second.
From Nested-Loop to Join Queries in OODB

Most declarative SQL-like query languages for object-oriented database systems are orthogonal languages allowing for arbitrary nesting of expressions in the select-, from-, and where-clause. Expressions in the from-clause may be base tables as well as set-valued attributes. In this paper, we propose a general strategy for the optimization of nested OOSQL queries. As in the relational model, the translation/optimization goal is to move from tuple- to set-oriented query processing. Therefore, OOSQL is translated into the algebraic language ADL, and by means of algebraic rewriting nested queries are transformed into join queries as far as possible. Three different optimization options are described, and a strategy to assign priorities to options is proposed.
Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis

Multi-instance multi-label (MIML) learning is a challenging problem in many aspects. Such learning approaches might be useful for many medical diagnosis applications including breast cancer detection and classification. In this study subset of digiPATH dataset (whole slide digital breast cancer histopathology images) are used for training and evaluation of six state-of-the-art MIML methods. At the end, performance comparison of these approaches are given by means of effective evaluation metrics. It is shown that MIML-kNN achieve the best performance that is %65.3 average precision, where most of other methods attain acceptable results as well.
The influence of late displacement in distal radius fractures on function, grip strength, range of motion and quality of life

Late displacement of distal radius fractures, still in acceptable radiological position after 1–2 weeks, occurs in approximately one-third of cases. The aim of this study was to investigate the influence of late displacement on the functional outcome and quality of life at 1 year in non-operatively treated distal radius fractures. One hundred and seventy five unilateral conservatively treated distal radius fractures with minimal displacement after 10–14 days were finally evaluated in the study. Follow-up included radiographs at 3 months and clinical examination 1 year after the fracture. Final radiographic parameters, grip strength, range of motion, QuickDASH, EQ-5D and pain visual analogue scale were evaluated with multivariate analysis. Late displacement occurred in 28% of the cases and was associated with loss of grip strength and range of motion. No significant differences were seen in the outcome questionnaires. Level of evidence: II
Prevalence of avian influenza and host ecology

Waterfowl and shorebirds are common reservoirs of the low pathogenic subtypes of avian influenza (LPAI), which are easily transmitted to poultry and become highly pathogenic. As the risk of virus transmission depends on the prevalence of LPAI in host-reservoir systems, there is an urgent need for understanding how host ecology, life history and behaviour can affect virus prevalence in the wild. To test for the most important ecological correlates of LPAI virus prevalence at the interspecific level, we applied a comparative analysis by using quantitative data on 30 bird species. We controlled for similarity among species due to common descent, differences in study effort and for covariance among ecological variables. We found that LPAI prevalence is a species-specific attribute and is a consequence of virus susceptibility, as it was negatively associated with the relative size of the bursa of Fabricius, an estimate of juvenile immune function. Species that migrate long distances have elevated prevalence of LPAI independent of phylogeny and other confounding factors. There was also a positive interspecific relationship between the frequency of surface feeding and virus prevalence, but this was sensitive to phylogenetic relatedness of species. Feeding in marine habitats is apparently associated with lower virus prevalence, but the effect of water salinity is likely to be indirect and affected by phylogeny. Our results imply that virus transmission via surface waters and frequent intra- and interspecific contacts during long migration are the major risk factors of avian influenza in the wild. However, the link between exploitation of surface waters and LPAI prevalence appears to be weaker than previously thought. This is the first interspecific study that provides statistical evidence that host ecology, immunity and phylogeny have important consequence for virus prevalence.
An automated energy management system in a smart grid context

The ongoing transformation of electric grids into smart grids provides the technological basis to implement demand-sensitive pricing strategies aimed at using the electric power infrastructure more efficiently. These strategies, also designated by demand response [1], already proved to be effective in altering patterns of electricity usage [2-6], and create benefits not only for end users (by lowering their electricity bill without degrading comfort levels), but also for the utilities (by managing the peak, flattening the aggregate demand curve, and meeting supply with demand) and the environment (by avoiding, or delaying, building new generation units and other network infrastructures). In fact, demand-sensitive pricing of electricity is expected to become the standard pricing mechanism in smart grids [3, 7, 8] and is considered essential to accelerate the deployment of variable renewable generation while maintaining electric system security and reliability at least cost [9].
Towards joint resource allocation and routing to optimize video distribution over future internet

Given the exploding growth of video traffic, efficient video distribution is essential to the future Internet. Therefore, how to optimize its networking cost is a critical research problem. In this paper, we introduce Network Function Virtualization (NFV) in conjunction with Software-Defined Networking (SDN) to minimize the cost via joint orchestration of caching, transcoding and routing functions. Specifically, we propose a two-step iterative approach. First, in NFV-based resource allocation phase, we maximize total cache hits by optimally allocating storage and computing resources for a giving routing policy. Second, in SDN-based routing phase, we minimize the networking cost by optimally configuring the routing matrix for a given resource placement. Finally, we analytically prove their iterative repeat converges to the joint optimum. Through extensive simulations, we verify its convergence, and performance gains compared with the optimal solution of either phase alone. By examining numerical results, we obtain some operational guidelines. From the resource allocation aspect, we should allocate more resources to the node with heavier request rate. From the routing aspect, for each node-server pair, the node should split the traffic across multiple paths with identical shortest hops if there are many, or use the shortest path alone if there is only one.
Policy Engineering for Security Management of Organization Information Systems

Security management of information systems is a complex and daunting task in most organizations. Management policies are then introduced to guide and control the management of information systems, but the management of management policies is also a complex task. Therefore, we propose a new concept—policy engineering, which uses the philosophy and paradigms of established engineering disciplines to address these problems. The introduction of policy engineering will provide a systematic methodology that can be used to guide and control the management of information systems.
Physiological, metabolic and biotechnological features of extremely thermophilic microorganisms

The current upper thermal limit for life as we know it is approximately 120°C. Microorganisms that grow optimally at temperatures of 75°C and above are usually referred to as ‘extreme thermophiles’ and include both bacteria and archaea. For over a century, there has been great scientific curiosity in the basic tenets that support life in thermal biotopes on earth and potentially on other solar bodies. Extreme thermophiles can be aerobes, anaerobes, autotrophs, heterotrophs, or chemolithotrophs, and are found in diverse environments including shallow marine fissures, deep sea hydrothermal vents, terrestrial hot springs—basically, anywhere there is hot water. Initial efforts to study extreme thermophiles faced challenges with their isolation from difficult to access locales, problems with their cultivation in laboratories, and lack of molecular tools. Fortunately, because of their relatively small genomes, many extreme thermophiles were among the first organisms to be sequenced, thereby opening up the application of systems biology‐based methods to probe their unique physiological, metabolic and biotechnological features. The bacterial genera Caldicellulosiruptor, Thermotoga and Thermus, and the archaea belonging to the orders Thermococcales and Sulfolobales, are among the most studied extreme thermophiles to date. The recent emergence of genetic tools for many of these organisms provides the opportunity to move beyond basic discovery and manipulation to biotechnologically relevant applications of metabolic engineering. WIREs Syst Biol Med 2017, 9:e1377. doi: 10.1002/wsbm.1377
Animating Characters in Pictures

Animating pictures is an interesting and useful visual effect in entertainment industry. In this paper, we present a system that allow user to animate a character in pictures in 3D space by applying 3D motion data. We use a 3D character mesh with skeleton rigged as template model. The user need to cut out silhouette of the character in pictures, and assign correspondence points between 2D character image and 3D template model. System then fits the template model to the image. Finally, the user can apply any 3D motion data to create animations in 3D space.
A Versatile and Colorful Screening Tool for the Identification of Arabinofuranose‐Acting Enzymes

Selecting wall-nibblers: Three 4-nitrocatechol derivatives were designed to facilitate high-throughput screening of arabinofuranose hydrolases, enzymes that typically digest plant cell walls. The designed compounds can be used in solid and liquid media, and, importantly, one allows the specific detection of AXH-d, a specialized enzyme that only releases L-arabinose from disubstituted D-xylosyl moieties.
Interest Analysis Using Semantic PageRank and Social Interaction Content

Social media has long been a popular resource for sentiment analysis and data mining. In this paper, we learn to predict reader interest after article reading using social interaction content in social media. The abundant interaction content (e.g., reader feedback) aims to replace typically private reader profile and browse history. Our method involves estimating interest preferences with respect to article topics and identifying quality social content concerning informativity. During interest analysis, we combine and transform articles and their reader responses into PageRank word graph to balance author- and reader-end influence. Semantic features of words, such as their content sources (authors vs. readers), syntactic parts-of-speech, and degrees of references (i.e., significances) among authors and readers, are used to weight PageRank word graph. We present the prototype system, Interest Finder, that applies the method to reader interest prediction by calculating word interestingness scores. Two sets of evaluation show that traditional, local Page Rank can more accurately cover more span of reader interest with the help of topical interest preferences learned globally, word nodes' semantic information, and, most important of all, quality social interaction content such as reader feedback.
A scintillation proximity assay for poly(ADP-ribose) polymerase.

Poly(ADP-ribose) polymerase (PARP) is an abundant nuclear protein in most of the eukaryotic tissues. When activated by DNA damage, PARP synthesizes poly(ADP-ribose) from NAD. Conventional radioactive PARP enzyme assay requires the separation of the polymer product from the NAD substrate, a rate-limiting step that hampers large-scale chemical library screening to identify novel small-molecule PARP inhibitors. By using biotinylated NAD, we have developed a scintillation proximity assay (SPA) for PARP. We demonstrated that PARP can incorporate the biotinylated ADP-ribose units into the radioactive poly(ADP-ribose) polymer, which can directly bind and excite the streptavidin-conjugated scintillation beads. PARP-SPA can be readily adapted to a 96-well format for automatic high-throughput screening for PARP inhibitors.
Design and Implementation of a Power Management Proxy for Universal Plug and Play

Universal Plug and Play (UPnP) is an automatic configuration protocol for network devices. A key component in UPnP is the Simple Service Discovery Protocol (SSDP). SSDP is a fully distributed discovery protocol and requires all devices in a UPnP network to be fully powered-up at all times in order to send periodic advertisements and respond to discovery messages. In this paper, the design and implementation of a UPnP power management proxy is described. This proxy makes it possible for UPnP devices to enter and remain in a low-power sleep state and thus reduce the energy used by the device. Wake-on-LAN is used by the proxy to wake up sleeping UPnP devices only when their services are needed. The proxy is completely backwards compatible with existing UPnP standards. The estimated economic savings in reduced electricity use is between $125 and $312 million per year in the US alone, if this approach was to be widely adopted.