Miracle-dz/UniFAR-FTUs huggingface dataset:
A structured approach to query recommendation with social annotation data

Query recommendation has been recognized as an important mean to help users search and also improve the usability of search engines. Existing approaches mainly focus on helping users refine their search queries and the recommendations typically stick to users' search intent, named search interests in this paper. However, users may also have some vague or delitescent interests which they are unaware of until they are faced with one, named exploratory interests. These interests may be provoked within a search session when users read a web page from search results or even follow links on the page. By considering exploratory interests in query recommendation, we attract more user clicks on recommendations. This type of query recommendation has not been explicitly addressed in previous work. In this paper, we propose to recommend queries in a structured way for better satisfying both search and exploratory interests of users. Specifically, we construct a query relation graph from query logs and social annotation data which capture two types of interests respectively. Based on the query relation graph, we employ hitting time to rank possible recommendations, leverage a modularity based approach to group top recommendations into clusters, and label each cluster with social tags. Empirical experimental results indicate that our structured approach to query recommendation with social annotation data can better satisfy users' interests and significantly enhance users' click behavior on recommendations.
Modulation of P1 and EGF Expression by Baicalin

Mycoplasma pneumoniae (M. pneumoniae) is increasingly recognized as a major cause of acute respiratory tract infections. Today, macrolides are used in the primary treatment of M. pneumoniae infection. However, with the increasing prevalence of strains resistant to macrolides, as well as reports of toxicity and adverse side effects, it is necessary to develop an alternative therapeutic agent. A compound recipe—Qinbaiqingfei pellets (Qinbai)—have already been approved in China as the first effective traditional Chinese medicine to be used against M. pneumoniae. Herein, we characterize the mechanism by which Qinbai interacts with M. pneumoniae and lung epithelial cells. The fact that Baicalin is the key component of Qingbai leads us to believe its study is important to elucidating the mechanism of the action of Qinbai. In this study, we describe the complex impact of Baicalin on the adhesin protein P1 of M. pneumoniae and on the expression of epidermal growth factor (EGF) in BALB/c mice and A549 cells infected with M. pneumonia. We draw the conclusion that Baicalin not only cured M. pneumoniae infection by inhibiting P1 expression, but also enhanced the repair of lung epithelial cells by upregulating EGF. Finally, we demonstrate that Baicalin plays a role in Qinbai treatment.
Are We Using the Right "Paradigms?" Comparing Metaphysical, Sociological and Conceptual Paradigms

This essay proposes an alternative to how paradigms are viewed in the information systems (IS) field. Tracing the development of the paradigm concept from Kuhn's classic Structure of Scientific Revolutions to the educational sciences and the organizational sciences, it finds the IS field adopting metaphysical paradigms over sociological and conceptual paradigms to the detriment of the progress of the field. The appropriation of metaphysical paradigms ignited unnecessary and time consuming "paradigm wars" in these fields as well as in the IS field. This essay describes how the metaphysical paradigm differs from the sociological and conceptual paradigm and the problems the field will face if it continues adopting the same view. Finally the essay explains the advantages of adopting the primary meaning of Kuhn's paradigm concept and proposes how this approach to research may be undertaken.
Adverse Selection in Online Search

We test the adverse selection problem in search engine results and report our work-in-progress on the trustworthiness of popular search engines results. We also give our reflection on user behavior and satisfaction level while performing search functions. On the methodological side we try to develop a new approach in measuring performance and trustworthiness of Web search engines. We highlight the problems associated with evaluation and suggest for future research.
Nature Genetics Advance Online Publication Manipulating Nucleosome Disfavoring Sequences Allows Fine-tune Regulation of Gene Expression in Yeast

Precise regulation of expression is vital to most biological functions. A key challenge is to unravel how this regulation is encoded within genomes and to be able to understand, predict and design expression patterns from regulatory sequences. Addressing this challenge requires knowledge of both the functional elements within regulatory sequences and the ways in which such elements combine to specify regulatory programs. Much of the research in the field has focused on the role of transcription factors and their binding sites 1. Despite much progress, our ability to understand transcriptional regulation using only transcription factors remains limited. Recent studies suggested that nucleosome organization of regulatory regions is essential for bridging this gap. Because transcription factor–binding sites that are wrapped into nucleosomes are less accessible to binding by their cog-nate factor compared to sites located in nucleosome-free regions 2,3 , we expect that the transcriptional output directed by the same site will depend on its surrounding nucleosome organization 4–7. A strong determinant of nucleosome organization is the presence of homopolymeric stretches of deoxyadenosine nucleotides, referred to as poly(dA:dT) tracts. These sequence elements disfavor nucleosome formation 8,9 and are strongly associated with nucleosome depletion over the tract itself and its surrounding DNA in both in vivo 10,11 and in vitro 10,12 genome-wide studies. Notably, these tracts are highly abundant in eukaryotic genomes 13 and are particularly prevalent in promoters 14. Consistent with these observations and with a role for nucleosome organization in determining transcriptional output, a study that altered the presence and length of a native poly(dA:dT) element in one yeast promoter showed that this tract can indeed stimulate expression, most likely by conferring increased accessibility to the nearby transcription factor–binding site 15. Thus, sequences that strongly disfavor nucleosome formation may also serve as important promoter building blocks. Despite this potentially important regulatory role of poly(dA:dT) tracts, very little is known about the extent and nature of their tran-scriptional effect. What is the magnitude of their effect compared to that of other regulatory elements? How does their effect depend on their own sequence properties and on properties of other regulatory elements such as the affinity of nearby transcription factor sites? And how does the overall arrangement of these tracts and other regulatory elements determine the transcriptional output? Here, we systematically address the above questions by measuring the activities of 70 different promoter variants that we designed with poly(dA:dT) tracts that differ in …
Probabilistic tractography of the posterior subthalamic area in Parkinson's disease patients

Deep brain stimulation (DBS) is a non-pharmacological treatment for Parkinson’s disease (PD), and its efficacy depends largely on which anatomical structure (target) is stimulated. The subthalamic nucleus (STN) is one of the most commonly used targets, but stimulation of new targets within the posterior sub-thalamic area (PSA), comprising a group of white matter fibers known as prelemniscal radiations (Raprl), as well as the caudal zonaincerta nucleus (Zic), have proven to be superior at improving certain clinical symptoms. Despite their clinical usefulness, their anatomical connectivity has not been completely described in humans. We performed constrained spherical deconvolution of the signal in diffusion-weighted images and subsequent tractography as a means to non-invasively define the connectivity of the Raprl and Zic in a group of five patients with PD. Further, we used track-density imaging, a novel method to improve the spatial resolution of the acquired images, in order to visualize the small subregions that comprise the PSA with a voxel resolution of 0.2 × 0.2 × 0.2 mm3. Both Raprl and Zic demonstrated high probability of connectivity with the dorsal brainstem, cerebellum, subcortical nuclei (globus pallidum ventral, lateral thalamic nuclei), and cortical areas (orbitofrontal cortex, primary and supplementary motor cortex areas). The connectivity patterns were re-producible between patients and were discretely organized as the tracts entered/exited the PSA, depending on their end points. These findings indicate that the PSA is part of the neuronal circuitry controlling movement, and the precise characterization of its connectivity will aid in our understanding of the net-works involved in PD and how they can be modulated with DBS in order to alleviate symptoms.
Governing common-properties of low-cost flats in Selangor: issues and challenges

Hardin’s (1968) seminal paper “The tragedy of the commons” has generated so much attention on common-pool resource (CPR) management and whose findings are still valid today shows the inadequacy of human nature in dealing with collective action, and the unique nature of “public goods” that few policy makers appreciate. In Malaysia, the social phenomenon where many common-areas of strata buildings are badly managed by developers/ property management companies/ parcel holders under the existing institutional arrangements of self-governance, lends credence to Hardin’s (1968) allegory. The research explored the contributing factors that make self-governance such a challenge where the maintenance of the common-areas is outside the state government purview. In this endeavour, a mixed methods approach was employed using institutional analysis development (IAD) framework as the main theoretical framework, and new institutional economics (NIE) reasoning as rival theories. Three qualitative studies that were conducted on four low-cost housing as recommended by the Selangor State Housing Board, provided insight into the varying degrees of success of self-governance: a phenomenological study; a narrative study; and a multi-case study. In the quantitative phase, a survey research was conducted on a sample of 633 respondents from a total population of 1,598 households. Three statistical procedures were later performed to explore the determinants, the inter-group membership differences, and the intra-group membership differences that shaped the state of health of the commons. The study lent weight to the notion that a community with higher social capital tended to produce higher collective action (users’ characteristics). But cultural factor which was part of an endogenous institution that shaped human conduct in daily settings had a role, as relying on court ordering was costly and cumbersome (rulesin- use). In a common area, the challenge had been on how to discourage free-riding habits of parcel holders (the nature of material condition). A more transparent style of governance certainly helped). The endemic failure of the institution of self-governance in any low-cost housing in Malaysia is similar to any CPR management of natural resource in every corner of the world. The study concluded that the root cause is failure to appreciate the basic human nature of “methodological individualism and instrumental rationality”, and the nature of the commons as “public goods”. Every man is rational only in making his private decision for private goods and the dominant strategy in using public goods is to free-ride. The study recommended state intervention as parcel holders were incapable to fend for themselves, though there is likelihood that state-led governance may not deliver the result as envisaged.
Iterative Feedback Based Manifold-Ranking for Update Summary

update summary as defined for the DUC2007 new task aims to capture evolving information of a single topic over time. It delivers focused information to a user who has already read a set of older documents covering the same topic. This paper presents a novel manifold-ranking frame based on iterative feedback mechanism to this summary task. The topic set is extended by using the summarization of previous timeslices and the first sentences of documents in current timeslice. Iterative feedback mechanism is applied to model the dynamically evolving characteristic and represent the relay propagation of information in temporally evolving data. Modified manifold-ranking process also can naturally make use of both the relationships among all the sentences in the documents and relationships between the topic and the sentences. The ranking score for each sentence obtained in the manifold-ranking process denotes the importance of sentence biased towards topic, and then the greedy algorithm is employed to rerank the sentences for removing the redundant information. The summary is produced by choosing the sentences with high ranking score. Experiments on dataset of DUC2007 update task demonstrate the encouraging performance of the proposed approach.
The effect of H 2 SO 4 - amine clustering on chemical ionization mass spectrometry (CIMS) measurements of gas-phase sulfuric acid

Abstract. The state-of-the art method for measuring atmospheric gas-phase sulfuric acid is chemical ionization mass spectrometry (CIMS) based on nitrate reagent ions. We have assessed the possible effect of the sulfuric acid molecules clustering with base molecules on CIMS measurements using computational chemistry. From the computational data, three conclusions can be drawn. First, a significant fraction of the gas-phase sulfuric acid molecules are very likely clustered with amines if the amine concentration is around or above a few ppt. Second, some fraction of these acid-amine clusters may not be charged by the CIMS instrument, though the most reliable computational methods employed predict this fraction to be small; on the order of ten percent or less. Third, the amine molecules will evaporate practically immediately after charging, thus evading detection. These effects may need to be taken into account in the interpretation of atmospheric measurement data obtained using chemical ionization methods. The purpose of this study is not to criticize the CIMS method, but to help understand the implications of the measured results.
High Gain Small Size Good Polarization ICCLMA

Antenna size reduction is one of the major problems in wireless communication devices. For this process many design topologies have been proposed. Some of them are capacitive loaded monopole antenna, (PIFA) planar inverted-F antenna and low profile multi element miniaturized monopole antenna (LMMMA). These techniques reduce the gain but with leads to lower gain. Recently a new antenna topology is called ICCLMA is proposed which greatly reduce antenna size but provides a high gain. This paper includes the literature survey of existing small size antennas and discussed the steps to design ICCLMA antenna using CST (Computer Simulation Technology).
Occupancy Detection in Smart Buildings Using Support Vector Regression Method

This paper proposes a novel approach which applies support vector regression (SVR) method to detect office occupancy in smart buildings. The model is able to detect occupancy with two sets of features corresponding to different degrees of convenience. The feature pool is comprised of solar factor, working time, lights energy, indoor temperature, and outdoor temperature, all of which are obtained through mathematical simulation based on the thermal software EnergyPlus. We show different results by setting different parameter values in the SVR model, and demonstrate model comparison on occupant detection. The proposed model displays advantages in occupancy detection which is capable of making accurate detections at low requirements for sensor accuracy and reducing the equipment cost in smart buildings.
Socio-Economic and Clinical Factors as Predictors of Disease Evolution and Acute Events in COPD Patients

Background Socio-economic, cultural and environmental factors are becoming increasingly important determinants of chronic obstructive pulmonary disease (COPD). We conducted a study to investigate socio-demographic, lifestyle and clinical factors, and to assess their role as predictors of acute events (mortality or hospitalization for respiratory causes) in a group of COPD patients. Methods Subjects were recruited among outpatients who were undertaking respiratory function tests at the Pneumology Unit of the Sant’Orsola-Malpighi Hospital, Bologna. Patients were classified according to the GOLD Guidelines. Results 229 patients with COPD were included in the study, 44 with Mild, 68 Moderate, 52 Severe and 65 Very Severe COPD (GOLD stage). Significant differences among COPD stage, in terms of smoking status and fragility index, were detected. COPD stage significantly affected the values of all clinical tests (spirometry and ABG analysis). Kaplan-Meier estimates showed a significant difference between survival curves by COPD stage with lower event-free probability in very severe COPD stage. Significant risk factors for acute events were: underweight (HR = 4.08; 95% CI 1.01–16.54), having two or more comorbidities (HR = 4.71; 95% CI 2.52–8.83), belonging to moderate (HR = 3.50; 95% CI 1.01–12.18) or very severe COPD stage (HR = 8.23; 95% CI 2.35–28.85). Conclusions Our findings indicate that fragility is associated with COPD stage and that comorbidities and the low body mass index are predictors of mortality or hospitalization. Besides spirometric analyses, FeNO measure and comorbidities, body mass index could also be considered in the management and monitoring of COPD patients.
Semantic Labeling for Active Documents

The aim of this paper is to present an idea and to propose techniques to facilitate the generation of documents in collaborative team or distributed environment. Our approach is based upon the notion of Semantic Labels, which are realized as simple markup elements of the data and text, but represented in a logic-based manner. Thus, we provide platform-independent techniques and formal methods to describe a structure of the ultimate document, to compose reusable elements identified by semantic labels and fill out the semantically structured templates for the required document.
Sparse LSSVM in Primal Using Cholesky Factorization for Large-Scale Problems

For support vector machine (SVM) learning, least squares SVM (LSSVM), derived by duality LSSVM (D-LSSVM), is a widely used model, because it has an explicit solution. One obvious limitation of the model is that the solution lacks sparseness, which limits it from training large-scale problems efficiently. In this paper, we derive an equivalent LSSVM model in primal space LSSVM (P-LSSVM) by the representer theorem and prove that P-LSSVM can be solved exactly at some sparse solutions for problems with low-rank kernel matrices. Two algorithms are proposed for finding the sparse (approximate) solution of P-LSSVM by Cholesky factorization. One is based on the decomposition of the kernel matrix K as PPT with the best low-rank matrix P approximately by pivoting Cholesky factorization. The other is based on solving P-LSSVM by approximating the Cholesky factorization of the Hessian matrix with rank-one update scheme. For linear learning problems, theoretical analysis and experimental results support that P-LSSVM can give the sparsest solutions in all SVM learners. Experimental results on some large-scale nonlinear training problems show that our algorithms, based on P-LSSVM, can converge to acceptable test accuracies at very sparse solutions with a sparsity level <;1%, and even as little as 0.01%. Hence, our algorithms are a better choice for large-scale training problems.
Automated Mapping Generation for Converting Databases into Linked Data

Most of the data on the Web is stored in relational databases. In order to make the Semantic Web grow we need to provide easy-to-use tools to convert those databases into linked data, so that even people with little knowledge of the semantic web can use them. Some programs able to convert relational databases into RDF files have been developed, but the user still has to link manually the database attribute names to existing ontology properties and this generated "linked data" is not actually linked with external relevant data. We propose here a method to associate automatically attribute names to existing ontology entities in order to complete the automation of the conversion of databases. We also present a way - rather basic, but with low error rate - to add links automatically to relevant data from other data sets.
Alcohol: Science, Policy and Public Health

What do you do to start reading alcohol science policy and public health? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. It's not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this alcohol science policy and public health.
A digital watermark

The paper discusses the feasibility of coding an "undetectable" digital water mark on a standard 512/spl times/512 intensity image with an 8 bit gray scale. The watermark is capable of carrying such information as authentication or authorisation codes, or a legend essential for image interpretation. This capability is envisaged to find application in image tagging, copyright enforcement, counterfeit protection, and controlled access. Two methods of implementation are discussed. The first is based on bit plane manipulation of the LSB, which offers easy and rapid decoding. The second method utilises linear addition of the water mark to the image data, and is more difficult to decode, offering inherent security. This linearity property also allows some image processing, such as averaging, to take place on the image, without corrupting the water mark beyond recovery. Either method is potentially compatible with JPEG and MPEG processing. <<ETX>>
Cloud networked robotics

This article proposes a new field of research called Cloud Networked Robotics, which tackles the issues for supporting daily activity, especially for the elderly and the disabled, throughout various locations in a continuously and seamless manner by abstracting robotic devices and providing a means for utilizing them as a cloud of robots. With recent advances in robotic development environments and in integrated multi-robot systems, robots are acquiring richer functionalities and robotic systems are becoming much easier to develop. However, such stand-alone robotic services are not enough for continuously and seamlessly supporting daily activity. We examine the requirements in typical daily supporting services through example scenarios that target senior citizens and the disabled. Based on these requirements, we discuss the key research issues in cloud network robotics. As a case study, a field experiment in a shopping mall shows how our proposed prototype infrastructure of cloud networked robotics enables multi-location robotic services for life support.