Miracle-dz/UniFAR-FTUs huggingface dataset:
A Bandwidth Reservation QoS Routing Protocol for Mobile Ad Hoc Networks

The advancement in wireless communication and economical, portable computing devices have made mobile computing possible. One research issue that has attracted a lot of attention recently is the design of mobile ad hoc network (MANET). A MANET is one consisting of a set of mobile hosts which can communicate with one another and roam around at their will. No base stations are supported in such an environment. Due to constraints such as battery power, transmission distance, and channel utilization, a mobile host may not be able to communicate directly with all other hosts in a single-hop fashion. In this case, a multi-hop scenario occurs, where packets may need to be relayed by several intermediate hosts before reaching their destinations. Applications of MANETs occur in situations like battlefields and major disaster areas, where networks need to be deployed immediately but base stations or fixed network infrastructures are not available. Since MANET is characterized by its fast changing topology, extensive research efforts have been devoted to the design of routing protocols for MANETs (Haas & Pearlman, 1998; Johnson et al., 2002; Liao et al., 2001; Perkins & Bhagwat, 1994; Perkins et al., 2002; Royer & Toh, 1999; Wu & Li, 2001). These works only concern with shortest-path routing and the availability of multitude routes in the MANET's dynamically changing environment. So only best-effort data traffic is provided. Issues related to quality-of-service (QoS) requirements, such as delay and bandwidth bounds, are less frequently addressed. This paper considers the problem of searching for a route of a given bandwidth in a MANET. This problem has been addressed by several works in the literature. References (Chen & Nahrstedt, 1999; Liao et al., 2002) have discussed this problem by assuming quite an ideal model that the bandwidth of a link can be determined independently of its neighboring links. This is untrue if all mobile hosts share a single common channel, or one needs to assume a costly multi-antenna model where a host can send/receive using several antennas simultaneously and independently. A less stronger assumption made in (Lin, 2001; Lin & Liu, 1999) is the CDMA-over-TDMA channel model, where the use of a time slot on a link is only dependent of the status of its one-hop neighboring links. Reference (Stojmenovic et al., 2000) addresses QoS routing with delay and bandwidth constraints, but still no specific channel model is accounted. In this paper, we assume a simpler TDMA model on a single common channel shared by all hosts. So it is inevitable to take the radio interference problems into consideration. We consider the bandwidth reservation problem in such environment. A route discovery
Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project

AcAdemic SofTwAre ProjecTS Tend To Grow orGAnicAlly from an initial idea into something complex and unwieldy that is novel enough to publish a paper about. Features often get added at the last minute so they can be included in the paper, without much thought about how to integrate them well or how to adapt the program's underlying architecture to make them fit. The result is that many of these programs are hacked together, buggy, and frankly embarrassing. Consequently, they do not get released together with the paper, which leads to a fundamental problem in visualization: reproducibility is possible in theory, but in practice rarely happens. Many programs and new techniques are also built from scratch rather than based on existing ones. The optimal model would be to release the software right away, then come back to it later to refine and rearchitect it so that it reflects the overall design goals of the project. This is seldom done, though, because there is no academic value in a reimplementa-tion (or thorough refactoring). Instead, people move on to the next project. The original prototype implementation of Parallel Sets (http://eagereyes.org/parallel-sets) was no different, but we decided that in order to get the idea out of academia into actual use, we would need a working program. So we set out to rethink and redesign it, based on a better understanding of the necessary internal structures that we had gained over time. In the process, we not only re-engineered the program, but also revised its generated visualization to clarify its underlying idea.
A New Approach to Understanding Ontogenesis and The Theory of Aging

This paper proposes an original theory of aging of multicellular organisms. The cells of multicellular organisms, in contrast to unicellular organisms, are burdened with a two- part genome: housekeeping and specialized (multicellular), responsible for ontogenesis and terminal differentiation. The two parts of the genome compete for limited adaptive resources thereby interfering with the ability of the house-keeping part of the genome to adequately perform reparative and adaptive functions in post mitotic cells. The necessity to complete the ontgenesis program, leads to increased activity of the multicellular components of the genome. As a result, the allocation of cellular resources to specialized genome con-tinuously increases with time. This leads to a deficit of reparative and adaptive capacity in post mitotic cells. Suggestions for future research focus on identifying groups of genes responsible for regulation of growth rate of specialized genome and suppressing ability of the cell division. A better understanding of the relationship between the two parts of the genome will not only help us to manipulate ontogenesis and aging, but will also improve our understanding of cancer development and ontogenesis.
Design, development and testing of a lightweight and compact locking mechanism for a passive knee prosthesis

In knee prosthetics and orthotics, there is the need to have a change in stiffness within the gait cycle. Doing this using a locking mechanism requires locking high forces using a small amount of energy. This paper presents a novel compact and light-weight locking mechanism which combines a ratchet-and-pawl and a singular position locking mechanism. It is used as a lock in a passive knee prosthesis and allows a change in compliance of the joint. The mechanism is transparent during the swing phase, allowing the joint to flex, and during the weight acceptance phase it provides the same stiffness as a natural knee joint. It is explained that this high stiffness characteristic can be approximated by a linear spring put in parallel with the knee joint. The mechanism uses a small servo motor to unlock the ratchet, other than this the operation is fully passive. The prosthesis has been tested during walking tests with amputee test subjects. The passive knee prosthesis is part of the CYBERLEGs-Project.
Strengthen the Architecture Principle Definition and Its Characteristics - A Survey Encompassing 27 Years of Architecture Principle Literature

Although architecture principles are important in the implementation of information systems requirements, empirical evidence of the effect of architecture principles is lacking. Before actually conducting the empirical research, it is important to have a solid definition and description of the research object, i.e. the architecture principle. In this paper, we strengthen both the definition of the architecture principle and the description of its characteristics. With a model based analysis we investigated 27 years of literature on architecture principles and eliminated inaccuracies and incompleteness. This definition and description provides a basis for determining the impact of using architecture principles during the implementation of the information systems requirements in our next step of research.
V^qfts^^ Digitized by the Internet Archive in 2011 with Funding from Boston Library Consortium Iviember Libraries Lapm: a Liquidity-based Asset Pricing Model

The intertemporal CAPM predicts that an asset's price is equal to the expectation of the product of the asset's payoff and a representative consumer's intertemporal marginal rate of substitution. This paper develops an alternative approach to asset pricing based on corporations' desire to hoard liquidity. Our corporate finance approach suggests new determinants of asset prices such as the distribution of wealth within the corporate sector and between the corporate sector and the consumers. Also, leverage ratios, capital adequacy requirements, and the composition of savings affect the corporate demand for liquid assets and thereby interest rates. The paper first sets up a general model of corporate demand for liquid assets, and obtains an explicit formula for the associated liquidity premia. It then derives some implications of corporate liquidity demand for the equity premium puzzle, for the yield curve, and for the state-contingent volatility of asset prices.
The unstated problem in a psychological testing referral.

: There is a manifest and a latent content to many psychological testing refereals. Although a diagnostic problem is usually the stated reason for the referral, the unstated and more basic reason frequently has to do with problems the therapist is encountering in attempting to deal with a difficult treatment situation. The testing psychologist who responds at the manifest level alone may not help and at times may even be a hindrance.
Health promotion as activism: building community capacity to effect social change

As HCI researchers have designed tools to promote wellness, disease has often been approached as a general problem. In contrast, public health research argues for an activist approach focused on how certain groups disproportionately experience disease and eliminating these disparities. Taking this activist stance, we examine how technology can reduce health inequalities by disrupting power relationships and helping communities pursue social change. We discuss our tool, Community Mosaic (CM), which allows individuals to share their healthy eating ideas with one another as a means of advocating behavior change. Our results characterize how CM helped facilitate activism (i.e., collective efforts to counter local challenges to healthy living) and shift users' attitudes regarding their role as advocates for health. We contribute to the field of HCI by using our findings to present a set of recommendations for future research focused on designing and evaluating health promotion tools using an activist lens.
Scale-Invariance of Support Vector Machines based on the Triangular Kernel

This report focuses on the scale-invariance and the good performances of Support Vector Machines based on the triangular kernel. After a mathematica- l analysis of the scale-invariance of learning with that kernel, we illustrate its behavior with a simple 2D classification problem and compare its performances to those of a Gaussian kernel on face detection and handwritten character recognition
Measuring monetary policy inertia in target Fed funds rate changes

Recent research has grappled with an apparent paradox: Why would a central bank that is focused primarily on inflation control exhibit signs of inertia when making policy adjustments? In this article, Michael Dueker argues that fully characterizing the policy inertia is a precondition towards resolving the apparent paradox. This article presents empirical estimates of adjustments to the target fed funds rate that take into account two facets of policy inertia: a partial-adjustment mechanism and thresholds for making discrete changes to the target fed funds rate. With a more complete picture of the policy inertia, subsequent research can investigate whether policy appears to display either too much or the right amount of inertia.
Decremental Learning Algorithms for Nonlinear Langrangian and Least Squares Support Vector Machines

Langrangian Support Vector Machine (LSVM) and Least Squares Support Vector Ma- chine (LSSVM) are two quick and effective classification methods. In this paper, we first introduce the mathematical models for LSVM and LSSVM and analyze their properties. In the nonlinear case, Sherman-Morrison-Woodbury identity is not used to compute the inversion of a matrix. According to block computation of a matrix and properties of a symmetric and positive-definite matrix, an approach to compute the inversion of a matrix is obtained and applied in the decremental learning algorithms for nonlinear LSVM and LSSVM. The online and batch decremental learning algo- rithms for nonlinear LSVM and LSSVM are presented, respectively, in which it is not necessary to relearn since the inversion of matrix after decrement is solved based on the former information. Thus, the computation time can be reduced. Through experiments, it is shown that the algorithms proposed in this paper can reduce the computation time.
3D coordinate extraction from single 2D indoor image

Indoor buildings as part of man made contains many information of linier perspective. Human has great tendency to build rooms with plane between wall to wall, and wall to floor to be perpendicular each other. This condition gives many advantages so we can use those information to reconstruct 2D imaged room back into 3D space. This paper is aimed to automatically extract and reconstruct room into 3D space from single 2D image only. Our method is begin by localizing ground segment from image, then followed by determining which border of ground should be assumed as wall. Once ground and wall border is identified, we calculate corresponding 3D coordinate of ground and wall using homography and cross ratio. The result of proposed algorithm shows its ability to extract and reconstruct 3D rooms based only on single 2D Image.
Quantifier elimination via adjunction

Sucient conditions are provided for quantifier elimination to hold in a first-order theory. The conditions have two main purposes: (1) to ensure that satisfaction of existential formulas is reflected by an embedding; and (2) to guarantee the existence of a “minimal" model of the theory extending a model of the universal formulas entailed by the theory. The first goal is obtained by requiring that a theory is9-adequate and the second by imposing the existence of an adjunction. Recognizing that, in some cases, a “minimal" model extending another can be obtained by iterating a construction, we also provide conditions that guarantee the existence of a ! -“limit" functor identifying such an extension, when the theories are in 82. Examples are provided along the paper.
Quantum ballistic simulation study of In0.7Ga0.3As/InAs/In0.7Ga0.3As Quantum Well MOSFET

In this work, quantum ballistic simulation study of a novel III-V In<sub>0.7</sub>Ga<sub>0.3</sub>As/InAs/In<sub>0.7</sub>Ga<sub>0.3</sub>As Quantum Well MOSFET is presented. To simulate the device in quantum ballistic regime, nonequilibrium Green's function formalism has been used. 2D Poisson and Schrodinger equations are solved in self-consistent manner taking into account 2D electrostatics and other quantum mechanical effects. Strong carrier confinement in the In<sub>0.7</sub>Ga<sub>0.3</sub>As/InAs/In<sub>0.7</sub>Ga<sub>0.3</sub>As quantum well allows the application of efficient mode space approach in quantum ballistic simulation. Simulation results for the QW device with 30 nm gate length are reported. At the same time, effect of gate length variation on the quantum ballistic characteristics is explored.
An Empirical Investigation of the Evaluators’ Scoring of Vendors’ Responses to an RFP of a Large Healthcare System

Request for Proposal (RFP) is a solicitation of proposals from vendors and they are often judged by human experts from varying backgrounds and experiences. This is typically done because large technical RFPs require a diverse group of evaluators who will bring their skills and experience to bear. However, different people with different backgrounds may evaluate proposals in different ways. In this paper, we examine the variability between expert proposal ratings through a case study, and try to determine how diversity of expertise affects the consistency of scoring results. We evaluate this by using scores of an RFP of a large industrial system by 20 different human experts from six different backgrounds. Our results suggest that there is not always a significant difference among raters in the scores given to vendors. Thus, human experts with varying but related backgrounds may judge in a similar manner and can be used to evaluate the RFP, provided there is a high level agreement between experts and the RFP is created through their consensus. This empirical evidence does not exist in the literature and it is a novel contribution of this paper.
CLUO: Web-Scale Text Mining System for Open Source Intelligence Purposes

The amount of textual information published on the Internet is considered tobe in billions of web pages, blog posts, comments, social media updates andothers. Analyzing such quantities of data requires high level of distribution –both data and computing. This is especially true in case of complex algorithms,often used in text mining tasks.The paper presents a prototype implementation of CLUO – an Open SourceIntelligence (OSINT) system, which extracts and analyzes signiﬁcant quantitiesof openly available information.
Structural determinants of DNA recognition by plant MADS-domain transcription factors

Plant MADS-domain transcription factors act as key regulators of many developmental processes. Despite the wealth of information that exists about these factors, the mechanisms by which they recognize their cognate DNA-binding site, called CArG-box (consensus CCW6GG), and how different MADS-domain proteins achieve DNA-binding specificity, are still largely unknown. We used information from in vivo ChIP-seq experiments, in vitro DNA-binding data and evolutionary conservation to address these important questions. We found that structural characteristics of the DNA play an important role in the DNA binding of plant MADS-domain proteins. The central region of the CArG-box largely resembles a structural motif called ‘A-tract’, which is characterized by a narrow minor groove and may assist bending of the DNA by MADS-domain proteins. Periodically spaced A-tracts outside the CArG-box suggest additional roles for this structure in the process of DNA binding of these transcription factors. Structural characteristics of the CArG-box not only play an important role in DNA-binding site recognition of MADS-domain proteins, but also partly explain differences in DNA-binding specificity of different members of this transcription factor family and their heteromeric complexes.
UNDERSTANDING THE APPLICABILITY OF LINEAR & NON-LINEAR MODELS USING A CASE-BASED STUDY

This paper uses a case based study – “product sales estimation” on real-time data to help us understand the applicability of linear and non-linear models in machine learning and data mining. A systematic approach has been used here to address the given problem statement of sales estimation for a particular set of products in multiple categories by applying both linear and non-linear machine learning techniques on a data set of selected features from the original data set. Feature selection is a process that reduces the dimensionality of the data set by excluding those features which contribute minimal to the prediction of the dependent variable. The next step in this process is training the model that is done using multiple techniques from linear & non-linear domains, one of the best ones in their respective areas. Data Remodeling has then been done to extract new features from the data set by changing the structure of the dataset & the performance of the models is checked again. Data Remodeling often plays a very crucial and important role in boosting classifier accuracies by changing the properties of the given dataset. We then try to explore and analyze the various reasons due to which one model performs better than the other & hence try and develop an understanding about the applicability of linear & non-linear machine learning models. The target mentioned above being our primary goal, we also aim to find the classifier with the best possible accuracy for product sales estimation in the given scenario.
Learning Navigation Map on Ontology

The paper utilizes semantic web and knowledge service technologies to construct a subject-oriented learning navigation system used in middle school education. The system inherently builds a knowledge base by ontology to store the relationship of subject knowledge points to learning resource and relationship between knowledge points , displays the reticulated structure of knowledge (navigation map) formed by visualizing knowledge base, and aggregates corresponding learning resource of knowledge point to enable learners practice their learning process according to the navigation map. The thesis build ontology for navigated learning to achieve pragmatic learning navigation, there are several advantages for this innovative research: the reticulated structure of knowledge in a certain subject could be displayed briefly and straightforward; the system could recommend related and further study materials for learners and intelligently discover the weak knowledge points of learners according to automated reasoning on knowledge base. The system also provides an interactive environment for both teachers to edit the knowledge structure and learners to study. As the most popular knowledge model, we mainly discusses the establishment of semantic knowledge web, model of the knowledge base, knowledge storage for knowledge points in junior and senior schools, and the realization and utilization of the ontology-based navigation map.
CD 24 enhances DNA damage-induced apoptosis by modulating NFk B signaling in CD 44-expressing breast cancer cells

Ji-hyun Ju1,y, Kibeom Jang1,y, Kyung-min Lee, Minsoon Kim, Jongbin Kim, Jae Youn Yi, Dong-Young Noh and Incheol Shin Department of Life Science, College of Natural Sciences, Hanyang University, Seoul 133-791, Korea, Cancer Research Institute, Seoul National University College of Medicine, Seoul 110-799, Korea, Department of Radiation Effect, Korea Institute of Radiological and Medical Sciences, Seoul 139-706, Korea and Natural Science Institute, Hanyang University, Seoul 133-791, Korea
Membrane-associated methane monooxygenase from Methylococcus capsulatus (Bath)

An active preparation of the membrane-associated methane monooxygenase (pMMO) from Methylococcus capsulatus Bath was isolated by ion-exchange and hydrophobic interaction chromatography using dodecyl beta-D-maltoside as the detergent. The active preparation consisted of three major polypeptides with molecular masses of 47,000, 27,000, and 25,000 Da. Two of the three polypeptides (those with molecular masses of 47,000 and 27,000 Da) were identified as the polypeptides induced when cells expressing the soluble MMO are switched to culture medium in which the pMMO is expressed. The 27,000-Da polypeptide was identified as the acetylene-binding protein. The active enzyme complex contained 2.5 iron atoms and 14.5 copper atoms per 99,000 Da. The electron paramagnetic resonance spectrum of the enzyme showed evidence for a type 2 copper center (g perpendicular = 2.057, g parallel = 2.24, and magnitude of A parallel = 172 G), a weak high-spin iron signal (g = 6.0), and a broad low-field (g = 12.5) signal. Treatment of the pMMO with nitric oxide produced the ferrous-nitric oxide derivative observed in the membrane fraction of cells expressing the pMMO. When duroquinol was used as a reductant, the specific activity of the purified enzyme was 11.1 nmol of propylene oxidized.min-1.mg of protein-1, which accounted for approximately 30% of the cell-free propylene oxidation activity. The activity was stimulated by ferric and cupric metal ions in addition to the cytochrome b-specific inhibitors myxothiazol and 2-heptyl-4-hydroxyquinoline-N-oxide.