Miracle-dz/UniFAR-FTUs huggingface dataset:
QoS Architecture in Wireless Sensor Network

As a complex network consisting of sensing,processing and communication,wireless sensor network is driven by various applications and highly requires new QoS(Quality of Service) guarantees.However,unlike traditional Internet,its unique characteristics have brought unprecedented challenges in the area of QoS research.First a hierarchical description(user level,network level and node level) and a comprehensive specification for QoS parameters are presented in this paper.Then the mapping relationship between QoS parameters is carefully analyzed.Finally,a hierarchical QoS architecture is proposed for systemic QoS support in wireless sensor networks.
Pinacol Rearrangement of 3,4‐Dihydro‐3,4‐dihydroxyquinolin‐2(1H)‐ones: An Alternative Pathway to Viridicatin Alkaloids and Their Analogs

3-Alkyl/aryl-3-hydroxyquinoline-2,4-diones were reduced with NaBH4 to give cis-3-alkyl/aryl-3,4-dihydro-3,4-dihydroxyquinolin-2(1H)-ones. These compounds were subjected to pinacol rearrangement by treatment with concentrated H2SO4, resulting in 4-alkyl/aryl-3-hydroxyquinolin-2(1H)-ones. When a benzyl (Bn) group was present in position 3 of the starting compound, its elimination occurred during the rearrangement, and the corresponding 3-hydroxyquinolin-2(1H)-one was formed. The reaction mechanisms are discussed for all transformations. All compounds were characterized by IR, 1H- and 13C-NMR spectroscopy, as well as mass spectrometry.
The regulation of constitutive NF-κB activity by glycogen synthase kinase-3 in pancreatic cancer

WILLIE WILSON III: Regulation of Constitutive NF-κB Activity in Pancreatic Cancer by Glycogen Synthase Kinase-3 (Under the direction of Dr. Al Baldwin) The development of pancreatic cancer chemotherapy has evolved into targeting the complex signaling pathways associated with disease progression. Recent focus has been made on targeting the constitutive activation of the transcription factor, NF-κB. However, advancement of this therapeutic strategy is dependent on fully understanding the elusive mechanisms underlying constitutive NF-κB activity in pancreatic cancer. Glycogen synthase kinase-3 has previously been implicated in regulating pro-survival NF-κB signaling in pancreatic cancer cells through an unknown mechanism. Moreover, TGF-β activated kinase 1 (TAK1) is a known regulator of NF-κB activity in human cancers, but its role in pancreatic cancer has yet to be established. In this report, we characterize GSK-3-dependent NF-κB regulation in pancreatic cancer cells and provide initial evidence that GSK-3 facilitates constitutive IκB kinase (IKK) activity. Our data also indicates that TAK1 is active in pancreatic cancer and contributes to constitutive NF-κB activation. Importantly, GSK-3 may be functionally linked to IKK through the phosphorylation of TAK1 at serine 412. Collectively, we propose that constitutive NF-κB activity in pancreatic cancer cells is maintained by a novel GSK-3-TAK1-IKK signaling cascade. These data broadens our understanding of NF-κB regulation in pancreatic cancer and implicates GSK-3 and TAK1 as emerging therapeutic targets.
Scheduling in wireless cellular data networks

NOMESH BOLIA: Scheduling in Wireless Cellular Data Networks (Under the direction of Professor Vidyadhar Kulkarni) This thesis studies the performance of scheduling policies in a wireless cellular data network. We consider a cell within the network. The cell has a single base station serving a given number of users in the cell. Time is slotted and the base station can serve at most one user in a given time slot. The users are mobile and therefore the data transfer rate available to each user changes from time slot to time slot depending on the distance from the base station and the terrain of the user. There are two conflicting objectives for the base station: maximize the data throughput per time slot, and maintaining “fairness”. To maximize the data throughput, the base station would like to serve the user with the highest available data rate, but this can lead to starvation of some users. To ensure “fairness”, no user should be unserved for a “long” time, i.e., users should be served in a round-robin manner. Although this problem has been studied in the literature to some extent, existing methods to do this are ad-hoc. Our goal is to derive policies that have a sound theoretical basis, and at the same time are computationally tractable, are easy to implement, are fair to all the users and beneficial for the service providers. We formulate the problem of finding an optimal scheduling policy as a Markov Decision Process (MDP) and prove some characteristics of the optimal policy. Since solving the MDP to optimality is infeasible, given the huge size of the problem, we develop heuristic policies called “index policies”. These policies are based on a closed form “index” for every user that depends only its own current state. We derive this index using a policy improvement approach based on Markov Decision Processes. We also compare their performance with existing policies through simulation. We develop such index policies in two settings: when every user always has ample data waiting for it to be served (the infinitely backlogged case), and when data arrives for every user in every time slot according to some distribution (the external data arrival case).
A decision matrix for choosing the proper visualization technique in knowledge visualization

Knowledge workers who want to apply knowledge visualization have to determine which visualization tool is suitable for their needs. To support knowledge workers in this sophisticated problem a systematic approach is presented that matches typical tasks in knowledge management to visualization techniques that support these tasks. Knowledge workers are provided with a three-dimensional decision matrix that enables them to easily identify a suitable visualization technique for a certain knowledge problem. To be able to systematically evaluate and identify adequate visualization techniques a set of evaluation criteria is introduced.
Mitochondrial Calcium Signaling in Brown Fat Bioenergetics

Calcium is a ubiquitous signaling molecule that coordinates biological processes over a wide range of length and timescales. For decades, it has been known that respiring mitochondria can take up large amounts of calcium through a channel known as the uniporter, whose activity has been hypothesized to stimulate oxidative phosphorylation, modulate cytosolic signaling events, and trigger cell death. These hypotheses have historically been untestable, however, due to a lack of tools with which to modulate the activity of the uniporter in intact cells and tissues. Our laboratory pioneered the molecular characterization of the uniporter and reported the composition of the entire uniporter holocomplex in 2013, enabling the channel to be manipulated in vivo for the first time using genetic methods. The identification of the uniporter’s molecular identity has provided an unprecedented opportunity to explore its role in cellular and organismal physiology, both by testing previously generated hypotheses and by using systematic profiling methods. This dissertation describes a series of complementary efforts to delineate the role of the uniporter in brown adipose tissue (BAT), a thermogenic tissue in mammals that is increasingly recognized for its metabolic versatility. Using a combination of cellular and animal models, we systematically examined how ablating uniporter function impacts BAT physiology. We found that, while the uniporter is largely dispensable for brown fat bioenergetics in vivo, it plays a previously unappreciated role in TCA cycle anapleurosis and in lipid metabolism. We additionally found that thermogenesis in BAT is unexpectedly accompanied by the induction of the ATF4-regulated
Crawling Dynamic Web Pages in WWW Forums

Web Forums have been one of dominating ways for information release and exchange in Internet. Crawling is the groundwork of searching and mining information from Web Forums. However, traditional crawling component usually using “Broad-first” strategy can not fetch information from Web Forums effectively. Exploring inner structure-features of forums, this paper presents a crawling strategy, which is based on “board-topic correlation judgments” algorithm. Compared with “board-first” strategy, this solution performs remarkably better both in precisions and recall. In practice, the algorithm is performed over 12 000 different Web forums and achieves a good result.
Analyzing Scale of Web Logs and Mining Users’ Interests

The work in this paper focuses on Web-log mining. Are there really some characteristics of user access existing in Web logs? And if yes, can these characteristics be described clearly? And how to use the characteristics? To try to answer these questions, this paper analyzes real Web logs. The work in this paper include: As scale of Web logs increasing, the changes of users’ count, Web documents’ count and the average of Web documents’ count accessed by one user are analyzed. A conclusion is drawn that user’s accessing on Web is more driven by stable interests than casual ones, and user’s stable interests must be contained in Web logs. To make use of user’s stable interests in Web logs, this paper provides a model and a search engine, SISI (Similar Interests, Similar access on Internet), which tries to mine related pages by making use of latent human judgment in related pages contained in Web logs. The performance of SISI is consistent with the analysis result of model: The accuracy and time cost of retrieval mainly rely on users’ count, and count of result records mainly rely on Web documents’ count.
Performance Analysis between Analog OFDM & Digital OFDM System

Orthogonal Frequency Division Multiplexing (OFDM) signaling has been widely used for high data rate transmission applications due to its high spectral efficiency and robustness to the frequency selective fading channels. One of the major drawbacks of the analog OFDM system is frequency shifting in every sub-carrier. That’s why bit error rate increased in analog OFDM system. In this research, we want to solve the problem of the analog OFDM system by using IFFT circuit instead of the local oscillator. The IFFT circuit takes an input as frequency domain and provides output as a time domain signal for 4-QAM modulation. Basically IFFT circuit acts as a local oscillator in the analog OFDM system. The IFFT circuit only executes operation on a discrete frequency domain signal which is converted into a time domain signal by its. So no frequency shifting occurs in every sub-carrier in the digital OFDM system. As a result BER also decrease in digital OFDM system over the analog OFDM system.
Controller area network

Controller Area Network (CAN) is a popular and very well-known bus system, both in academia and in industry. CAN protocol was introduced in the mid eighties by Robert Bosch GmbH [7] and it was internationally standardized in 1993 as ISO 11898-1 [27]. It was initially designed to distributed automotive control systems, as a single digital bus to replace traditional point-to-point cables that were growing in complexity, weight and cost with the introduction of new electrical and electronic systems. Nowadays CAN is still used extensively in automotive applications, with an excess of 400 million CAN enabled microcontrollers manufactured each year [14]. The widespread and successful use of CAN in the automotive industry, the low cost associated with high volume production of controllers and CAN's inherent technical merit, have driven to CAN adoption in other application domains such as: industrial communications, medical equipment, machine tool, robotics and in distributed embedded systems in general. CAN provides two layers of the stack of the Open Systems Interconnection (OSI) reference model: the physical layer the data link layer and optionally an additional application layer (not standardized). Notice that CAN physical layer was not de ned in Bosch original speci cation, only the data link layer was de ned. However, the CAN ISO speci cation lled this gap and the physical layer was then fully speci ed. CAN is a message-oriented transmission protocol, i.e., it de nes message contents rather than nodes and node addresses. Every message has an associated message identi er, which is unique within the whole network, de ning both the content and the priority of the message. Transmission rates are de ned up to 1 Mbps. The large installed base of CAN nodes with low failure rates over almost two decades, led to the use of CAN in some critical applications such as Anti-locking Brake Systems (ABS) and Electronic Stability Program (ESP) in cars. In parallel with the wide dissemination of CAN in industry, the academia also devoted a large e ort to CAN analysis and research, making CAN one of the must studied eldbuses. That is why a large number of books or book chapters describing CAN were published. The rst CAN book, written in French by D. Paret, was published in 1997 and presents the CAN basics [36]. More implementation oriented approaches, including CAN node implementation and application examples, can be found in Lorenz
Torin 1, TOR Inhibitor Enhances Cellular Proliferation in NT-1 Tobacco Suspension Cell Cultures

Torin 1, is an ATP-competitive kinase inhibitor targeting rapamycin (TOR) which inhibits the signaling of TOR and S6K kinase in mammals and plants. During kinetics growth of tobacco cultures suspended in NT-1, Torin 1 inhibits the early growth and later enhanced the cellular proliferation during exponential growth by means of an increased expression of E2F1 and cyclin B.
Wireless Communication Technology in the 21st Century

Wireless communication is expected to be a dominant mode of access technology in the next century. Besides voice, a new range of services such asmultimedia, highspeed data, etc. are being offered for delivery over wireless networks. This paper introduces some concepts of the third international mobile communications IMT 2000 and wireless asynchronous transfer mode WATM, summarizes their key technologies, and expounds their perspective of the next millennium.
Feature-based opinion analysis and summarization

The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, Internet forums, discussion groups, and web blogs. However, the sheer size of opinion sources on the Web and the ambiguous nature of natural language can make it difficult for the task of analyzing such information. There has been a swell of interest to provide tools to automatically identify and extract attitudes, opinions, and sentiment in text. This dissertation proposes a framework to analyzing and summarizing customer reviews of products. By analyzing reviews, we mean to extract features of products that have been commented by reviewers and to determine whether the opinions are positive or negative. The framework, which performs a semi-structured feature-based opinion summarization, is different task from traditional text summarization as we do not summarize the reviews by selecting a subset or rewrite some of the original sentences from the reviews to capture the main points as in the classic text summarization. Our task is performed in three steps: (1) extracting product features that have been commented on by customers; (2) identifying opinion sentences in each review and perform sentiment classification on opinion sentences; (3) aggregating and summarizing the opinions for each product feature. We also describe a system called Opinion Observer that makes use of the review analysis results to visually summarize and compare consumer opinions on different products. Experimental result shows the proposed feature based summarization framework is a very promising system.
Homomorphic Recommendations for Data Packing- A Survey

Recommender systems have become an important tool for personalization of online services. Generating recommendations in online services depends on privacy-sensitive data collected from the users. Traditional data protection mechanisms focus on access control and secure transmission, which provide security only against malicious third parties, but not the service provider. This creates a serious privacy risk for the users. In this paper, we aim to protect the private data against the service provider while preserving the functionality of the system. We propose encrypting private data and processing them under encryption to generate recommendations. By introducing a semitrusted third party and using data packing, we construct a highly efficient system that does not require the active participation of the user. We also present a comparison protocol, which is the first one to the best of our knowledge, that compares multiple values that are packed in one encryption. Conducted experiments show that this work opens a door to generate private recommendations in a privacy-preserving manner. We have developed an approach for privacy-preserving Recommender Systems based on Multi-Agent System technology which enables applications to generate recommendations via various filtering techniques while preserving the privacy of all participants. We describe the main modules of our solution as well as an implemented application based on this approach. This paper also describes various limitations of current recommendation methods and discusses possible extensions that can improve recommendation capabilities and make recommender systems applicable to an even broader range of applications. These extensions include, among others, an improvement of understanding of users and items, incorporation of the contextual information into the recommendation process, support for multcriteria ratings, and a provision of more flexible and less intrusive types of recommendations.
Structural properties of sweet potato starch and its vermicelli quality as affected by heat-moisture treatment

ABSTRACT The gel properties and structural changes of sweet potato starch induced by heat-moisture treatment (HMT) were investigated, and its vermicelli textural properties were revealed. HMT increased the relative crystallinity, and the crystallinity reduced with increasing moisture content, which was consistent with the results of DSC. RVA results revealed that the HMT starches showed an increased setback viscosity and a reduced breakdown viscosity, indicating that the HMT starches gel lead a stronger retrogradation tendency. Rheometer results indicated that the HMT starches had a stronger elasticity behavior. The content of amylose of starch and the possible amylose fine molecular change during HMT at different water content were hypothesized, and this caused the gel properties of starch. Consequently, the HMT starch vermicelli exhibited higher hardness, springiness, and chewiness. These mechanistic relations among starch structure, gel properties, and vermicelli quality during HMT will provide useful information for the starch vermicelli industry.
Tactical Internet system architecture for Task Force XXI

This paper provides a general overview of the Tactical Internet (TI) that has been defined and architected for the Task Force XXI (TF XXI) exercise to be performed at the National Training Center (NTC) in March 1997. The basic architecture is defined as well as the reasoning and methodology behind the implementation.
Topic Modeling for Media and Communication Research: A Short Primer

A variety of powerful tools for the automated and semi-automated analysis of textual data are increasingly at the disposal of media and communication researchers. Among the assemblage of methods, the school of techniques known as topic modeling has recently attracted particular interest. What utility does one popular type of topic model, latent dirichlet allocation (LDA), have for media and communication research? This paper illustrates some distinct strengths and weaknesses of LDA. We first briefly introduce its conceptual foundations, along with a selection of studies from the social sciences that apply it to different types of content, from newspapers and scientific publications to literary texts and social media. We then present a case study of news coverage of the Syrian civil war. After describing our data, we turn to two facets of the results in particular: the relation of terms and topics and the proportions of topics in documents, aggregated into months. We make the case for contrastive (rather than descriptive) uses of topic modeling that build broader analyses on the initial output of a model, rather than concluding with a list of terms.
DNS Prevention Using 64-Bit Time Synchronized Public Key Encryption to Isolate Phishing Attacks

In this work, a quick authentication scheme is implemented to prevent Phishing and DNS spoofing. In DNS spoofing, attackers inject the fake DNS server by duplicating the IP addresses and fake server redirect network traffic to wrong destinations. In phishing, phishers clone the legitimate website and user think that it is original website and users giving away their username and passwords to attacker’s website and attackers hack their confidential information and they can misuse it for financial gain, identity theft, gaining fame, malware distribution and industrial espionage. We host the phishing website but we cannot pass the link through common hosting websites like Google and Facebook. So, phishers force the legitimate users to open a phished link with the DNS spoofing through fake DNS server then user directly redirect to a fake server. So our proposed work is to prevent DNS spoofing, to prevent the Phishing attacks by isolating it using 64-bit time synchronized public key encryption.
Feedback quantum control

In this paper, quantum systems with nonlinear dynamics are considered. The problem is formulated by parameterizing the quantum feedback control as a nonlinear stochastic control problem. A stochastic control approaches the problem into two parts. First, filter is constructed that propagates the estimate the state of the system. Secondly, we find the feedback control for the system. The feedback signal is of state feedback form with respect to the conditional state.
Processing perceptually important temporal and spectral characteristics of speech

Speech signals are time-varying in frequency, with perceptually important characteristics spanning both temporal and spectral dimensions. Determining perceptual importance requires isolating and manipulating signal characteristics for inspection in listening experiments. Pitch synchronous signal processing methods are presented to represent temporal and spectral characteristics independently. Ways to potentially enhance the perception of speech by processing the signal’s spectral characteristics are discussed. These methods were applied to listening experiments to examine the perceptual importance of a signal’s temporal envelope and spectral envelope. Pitch synchronous processed speech signals were perceived as sounding natural, and also maintained a similar level of intelligibility to unprocessed speech signals. This finding was an improvement compared with similar signal processing methods. Additionally, the perceptual segregation of speech in the presence of noise and the perceptual integration of dissimilar signals were examined.
Capturing participant data from product design process – triangulation of three different approaches

of master's thesis i Author Jani Kalasniemi Title of thesis Capturing Participant Data from Product Design Process – Triangulation of Three Different Approaches Degree programme Mechanical Engineering Major/minor Machine Design Code K3001 Thesis supervisor Professor Kalevi Ekman Thesis advisors Lauri Repokari, Lic.Sc (Tech.) & Joona Kurikka, M.Sc. (Tech.) Date 02.05. 2016 Number of pages 75 + (25) Language English