Miracle-dz/UniFAR-FTUs huggingface dataset:
Important Weblog Identification and Hot Story Summarization

In this paper, we propose the architecture for a weblog data mining system. Our objective is to allow users to interactively understand the blogspace by providing a system framework for retrieving relevant weblogs and obtaining highlighted information. We focus on two important technical components in the system. The first is weblog ranking. We introduce weighted link-based weblog ranking, which ranks the popularity of weblogs according to their entry semantic content and time delay of citation. Furthermore, our weblog ranking algorithms provide the flexibility to rank weblogs not only based on their different roles in the society, but also based on end-users’ different ranking interests. The second component is hot story summarization. A hot story is the discussion that attracts various weblogs’ attention. Influential bloggers are useful in identifying hot conversations because these bloggers are likely to be the leader in such conversations. We propose a method based on first discovering weblogs that take important roles in the society, and then extracting hot story from these important weblogs.
Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study

Systemic inflammation is a major factor influencing the outcome and quality of patient with chronic obstructive pulmonary disease (COPD) and acute exacerbations (AECOPD). Because of the inflammatory complexity, a great challenge is still confronted to optimize the identification and validation of disease‐specific biomarkers. This study aimed at developing a new protocol of specific biomarker evaluation by integrating proteomic profiles of inflammatory mediators with clinical informatics in AECOPD patients, understand better their function and signal networks. Plasma samples were collected from healthy non‐smokers or patients with stable COPD (sCOPD) or AECOPD on days 1 and 3 of the admission and discharging day (day 7–10). Forty chemokines were measured using a chemokine multiplex antibody array. Clinical informatics was achieved by a Digital Evaluation Score System (DESS) for assessing severity of patients. Chemokine data was compared among different groups and its correlation with DESS scores was performed by SPSS software. Of 40 chemokines, 30 showed significant difference between sCOPD patients and healthy controls, 16 between AECOPD patients and controls and 13 between AECOPD patients and both sCOPD and controls, including BTC, IL‐9, IL‐18Bpa, CCL22,CCL23, CCL25, CCL28, CTACK, LIGHT, MSPa, MCP‐3, MCP‐4 and OPN. Of them, some had significant correlation with DESS scores. There is a disease‐specific profile of inflammatory mediators in COPD and AECOPD patients which may have a potential diagnostics together with clinical informatics of patients. Our preliminary study suggested that integration of proteomics with clinical informatics can be a new way to validate and optimize disease‐special biomarkers.
Reliability Analysis of a New Soldering Process For Automotive Power Modules Application

This paper presents a reliability study of power assemblies based on the correlation of finite element simulations and experimental results. For these power modules, a new process was used to solder bare dice on a copper lead frame with a local heating source. The reliability methodology we are using is based on the evaluation of the strain energy density accumulated in the solder joint during the lifetime of the assembly. The study was also carried out on various types of solder. Two series of simulations have been carried out in parallel. The first series was the simulation of a classical reflow process with a uniform temperature of 300degC in the whole assembly. The second one was the simulation of the new process with localized heating. The comparison of the results of the simulations allowed concluding that this new process does not introduce more strain than a normal process. In order to evaluate the lifetime of the assembly, ageing tests have been carried out on representative test vehicles. By correlation between simulations and ageing tests, we have evaluated the lifetime of the assembly under operation conditions
Respiratory Depression in Young Prader Willi Syndrome Patients following Clonidine Provocation for Growth Hormone Secretion Testing

Objectives. To determine the sedative and respiratory effects of clonidine when used to evaluate growth hormone (GH) secretion in children with Prader Willi Syndrome (PWS). Methods. The study prospectively evaluated children with PWS who received clonidine (0.15 mg/) to assess GH responsiveness. Patients were studied up to four times over three years. Vital signs, oxygen saturation, and sedation level were recorded at baseline and every five minutes following clonidine. Changes between baseline and post-clonidine were evaluated using a repeated measurement analysis. Results. Sixty studies were performed on 17 patients, mean age months. The mean SD dose of clonidine was mg ( mcg/kg). All patients achieved a sedation score of 4 to 5 (drowsy to asleep). Mean declines in respiratory rate ( breaths/min; ), and oxygen saturation (%; ) occurred following clonidine. Five patients (29%) experienced oxygen saturations 94% on nine occasions. Three oxygen desaturations were accompanied by partial airway obstruction. Conclusions. Clonidine doses to assess GH secretion often exceed doses used for sedation and result in significant respiratory depression in some children with PWS. There was no association between oxygen desaturation and BMI.
A highly sensitive dual mode tactile and proximity sensor using Carbon Microcoils for robotic applications

This paper presents a highly sensitive dual mode tactile and proximity sensor for robotic applications that uses Carbon Microcoils (CMCs). The sensor consists of multiple electrode layers printed on a Flexible Printed Circuit Board (FPCB) and a dielectric substrate into which the CMCs are dispersed. The dielectric layer is simply put on the top of the FPCB. Thus, the sensor provides ease of fabrication and robustness against repetitive external contacts because the dielectric layer protects the electrodes. The electrical properties of the sensor are changed when an object approaches or touches the sensor. The sensor uses a capacitive sensing mode for tactile sensing and an inductive sensing mode for proximity sensing. CMCs amplify the change of the sensor signal because of electrical impedance formed by the CMCs, and thus, the sensitivity of the sensor increases. We fabricate the prototype sensor with the dimensions of 30 × 30 × 0.6 mm3, and with 3 mm spatial-resolution. The sensor detects the applied pressure up to 330 kPa and the distance of an object as much as 150 mm away.
Improvements on bottleneck feature for large vocabulary continuous speech recognition

In this paper, we have proposed three methods to improve the performance of the bottleneck(BN) feature based GMM-HMM system. Firstly, we recommend a new bottleneck feature architecture, namely LBN, which places the bottleneck layer at the last hidden layer instead of the middle, in order to take advantage of the more discriminative and invariant higher layer features. Secondly, we employ the rectified linear units (ReLUs) based DNN as bottleneck feature extractor. Finally, we investigate the sequence discriminative training of bottleneck neural network to achieve more powerful bottleneck feature. We have evaluated our methods in 309-hour Switchboard (SWB) task. Compared with the traditional hybrid DNN-HMM system, our proposed ReLUs based LBN-GMM-HMM system can achieve about 9.7% recognition error rate reduction relatively.
A constructive approach for the lower bounds on the Ramsey numbers R (s, t)

Graph G is a (k, p)-graph if G does not contain a complete graph on k vertices Kk, nor an independent set of order p. Given a (k, p)-graph G and a (k, q)-graph H, such that G and H contain an induced subgraph isomorphic to some Kk-1-free graph M, we construct a (k, p + q - 1)-graph on n(G) + n(H) + n(M) vertices. This implies that R (k, p + q - 1) ≥ R (k, p) + R (k, q) + n(M) - 1, where R (s, t) is the classical two-color Ramsey number. By applying this construction, and some its generalizations, we improve on 22 lower bounds for R (s, t), for various specific values of s and t. In particular, we obtain the following new lower bounds: R (4, 15) ≥ 153, R (6, 7) ≥ 111, R (6, 11) ≥ 253, R (7, 12) ≥ 416, and R (8, 13) ≥ 635. Most of the results did not require any use of computer algorithms. © 2004 Wiley Periodicals, Inc. J Graph Theory 47: 231–239, 2004
Semantic mediation for cooperative spatial information systems: the AMUN data model

We present the on-going research project ISIS (Interoperable Spatial Information Systems) which is a semantic mediation approach to support geographical spatial information systems interoperability. The diversity of spatial information systems (GIS) and data models has created a need for tools and methodologies to allow cooperation or interoperation among GIS. In particular, mediation based approaches, which aim at achieving autonomy, extensibility and flexibility of participant systems, will become increasingly popular in emerging Web based processing environments. The underlying approach of ISIS combines techniques from the domains of traditional interoperable information systems, spatial data modeling and multi agent systems. We describe the AMUN data model which provides a foundation for resolving semantic discrepancies among systems and for modeling cooperative GIS.
Macroeconomics for developing countries

This textbook provides an introduction to the subjects of macro-economic management and stabilization policy which have become increasingly important for developing countries in recent years. There are significant structural, institutional and behavioural differences between developed and developing economies. The authors have combined elements of standard macro-economic theory and the findings of empirical research to offer a macro-economic framework which is used to examine problems like inflation, unemployment and balance of payments fluctuations. They also include an evaluation of the use of stabilization policies which are particularly relevant to developing countries.
Infant hungry recognition based on neural network and AR model

To deal with nonverbal life was a difficult task. To study their behaviour without knowing what their needs is another crucial issue. A lot of researches have been rapidly investigated. Thus, in this paper we proudly proposed a system to determine the hungry infant based on their facial expression. A Haar Cascade face detection method was implemented. Autoregressive Model (AR) was employed for the coefficient extraction. Some other statistical methods were used as the feature extraction. Finally Neural network (NN) with 93.78% accuracy was accepted.
Evolution Model on Relationship between Logistics and Economy of Port Cities and Its Application

Logistics and economy influence each other, and their relationship is dynamically changeable. The economy of different stages exhibits various demand for logistics. In order to explore the evolution law of the relationship between logistics and economy, this paper establishes an index system, a comprehensive comparison platform and an evolution model by the methods of principal component analysis and logistic equation. Then an empirical analysis is made, which reveals that there are three evolution stages about the relationship: Logistics industry is in a low growth rate, and it lags behind economy; Logistics industry is in a rapid growth rate, and it exceeds economy; The growth rate of logistics is reducing, and logistics industry tends to the limit value. Logistics and economy maintain steady relationship between supply and demand. To sum up, the evolution model is effective, and it can be applied to other port cities.
Semantic Segmentation and Object Recognition Using Scene-Context Scale

Scene-context plays an important role in scene analysis and object recognition. Among various sources of scene-context, we focus on scene-context scale, which means the effective region size of local context to classify an image pixel in a scene. This paper presents semantic segmentation and object recognition using scene-context scale. The scene-context scale can be estimated by the entropy of the leaf node in multi-scale text on forests. The multi-scale text on forests efficiently provide both hierarchical clustering into semantic textons and local classification depending on different scale levels. For semantic segmentation, we combine the classified category distributions of scene-context scale with the bag-of-textons model. In our experiments, we use MSRC21 segmentation dataset to assess our segmentation algorithm and show that the usage of the scene-context scale improves recognition performance.
Hardware-Based Linear Program Decoding With the Alternating Direction Method of Multipliers

We present a hardware-based implementation of linear program (LP) decoding for binary linear codes. LP decoding frames error–correction as an optimization problem. In contrast, variants of belief propagation (BP) decoding frame error–correction as a problem of graphical inference. LP decoding has several advantages over BP-based methods, including convergence guarantees and better error-rate performance in high-reliability channels. The latter makes LP decoding attractive for optical transport and storage applications. However, LP decoding, when implemented with general solvers, does not scale to large blocklengths and is not suitable for a parallelized implementation in hardware. It has been recently shown that the alternating direction method of multipliers (ADMM) can be applied to decompose the LP decoding problem. The result is a message-passing algorithm with a structure very similar to BP. We present modifications to this algorithm, resulting in a more intuitive and hardware-compatible form. This is particularly true for projection onto the parity polytope: the major computational primitive for ADMM-LP decoding. Furthermore, we present results for a fixed-point Verilog implementation of ADMM-LP decoding. This implementation targets a field-programmable gate array (FPGA) platform to evaluate error-rate performance and estimate resource usage. We show that frame error rate performance well within 0.5 dB of double-precision implementations is possible with 10-bit messages. Finally, we outline research opportunities that should be explored en route to an application-specific integrated circuit (ASIC) implementation that is capable of Gigabit-per-second throughput.
Percolation in directed random geometric graphs

The connectivity graph of wireless networks, under many models as well as in practice, may contain unidirectional links. The simplifying assumption that such links are useless is often made, mainly because most wireless protocols use per-hop acknowledgments. However, two-way communication between a pair of nodes can be established as soon as there exists paths in both directions between them. Therefore, instead of discarding unidirectional links, one might be interested in studying the strongly connected components of the connectivity graph. In this paper, we look at the percolation phenomenon in some directed random geometric graphs that can be used to model wireless networks. We show that among the nodes that can be reached from the origin, a non-zero fraction can also reach the origin. In other words, the percolation threshold for strong connectivity is equal to the threshold for one-way connectivity.
The Reappropriation of Technology

Ideas about purity and contagion appear over and over again in the history of cultures. Indeed, they seem to be so pervasive that we might rightly consider them as a basic organizing principle of human action. They lurk behind primitive dietary rules and laws of ritual avoidance (Douglas 1978), and they underlie our present respect for hygiene and distaste for uncleanliness in bodily and other matters. Ideas about purity and contagion are not necessarily associated with food. The belief that one or each sex is endangered by contact with the other is a favorite expression of such ideas. But pollution may also result from birth or be consequent on death for the relevant kindred. It may stem from contact with blood or bodily emission such as spittle, from the glance or touch of an adulterer, or from dealing with a member of a lower caste. While it is hard to imagine the limits to which ideas about purity and contagion are confined, it is not difficult to identify areas of concern which are more prominent than others. In traditional societies, pollution ideas are frequently associated with food and its origin, or way or preparation. Most familiar to us are perhaps Jewish and Islamic dietary rules which prohibit eating the meat of certain animals classed as "unclean. " To quote form the abominations of Leviticus,
Title : Competition and Vertical Structure of Industry : Evidence from Info-Communications

The purpose of this paper is threefold. Firstly, the paper provides a synthesis of the potentialities and limits of the dominant economic literature on vertical contractual relations which essentially focuses on the impact of vertical specialization and vertical integration on competition and customers’ welfare. Second, the paper characterizes the historical evolution of the different degrees of vertical specialization and vertical integration for key actors in the info-communications industry: equipment suppliers, telcos, ISPs/IAPs, navigation and software/middleware companies, information and content companies. Thirdly, the paper realizes a confrontation between, on the one hand, optimal vertical structures exhibited in dominant economic models and, on the other hand, observed vertical structures in the infocommunications industry. From this confrontation emerges an important gap between theoretical results and observable trends. The outcome of this paper is thus that the dynamics between vertical relationships and competition requires a new research agenda, especially for economists and business historians concerned with the evolution of the info-communications industry. JEL classification codes: L 22; L 86; L 96; O 31
INCREASING THE NETWORK IN-FEED ACCURACY OF WIND TURBINES WITH ENERGY STORAGE DEVICES

An important operational aspect of grid-connected large-scale wind turbines is the predictability of their network in-feed. Wind power producers acting in day-ahead markets are obliged to predict their production a certain amount of hours in advance. Deviations from the predicted in-feed are alleviated by the grid operator with balancing energy at relatively high costs, depending on the market policy. Thus, the value of the annual production of a wind power producer can be significantly reduced by the penalty costs for balancing energy. This paper investigates to what extent the accuracy of the network in-feed could be improved by combining a wind turbine with a storage device used for balancing the differences between forecasted and actual network in-feed. The relation between the storage capacity and the forecast horizon is investigated to get indications on the limitations and requirements of such a combination. A simulation algorithm is presented together with analysis methods and a case study is used to show their applicability.
Journal of Learning Disabilities Volume Xx Number X Month Xxxx Xx-xx

V arious factors have been suggested to interact with the achievement of those with attention-deficit/ hyperactivity disorder (ADHD) and thus possibly explain the apparent difficulties. One of these is a comorbid learning difficulty, most often dyslexia. The general pattern in children has been that although those with ADHD may have difficulties in phonological processing they as a group are usually better than those with a diag-nosable dyslexia or a comorbid condition with both dyslexia and ADHD. Further, the latter two groups with dyslexia are usually equally poor in phonological processing and achievement. We wanted to investigate whether the pattern suggested above also emerged in our data. The current sample included nine comorbid participants; that is, they had both dyslexia and ADHD diagnoses (for their demographic characteristics, see Table S1). These participants were not included in the original analyses. When the comorbid group was included, the groups did not differ statistically significantly in their age, where the ADHD group was statistically significantly poorer than the control group (p = .01). There were no changes from a significant to a non-significant main effect of group (or vice versa) in the repeated measures ANOVAs, when the original analyses were conducted with the small comorbid group included. In the individual ANOVAs, two changes emerged (see Table S2). The main effect of group was not significant in phonological naming corrected errors. In addition, in the post hoc analyses of technical reading errors, those with ADHD were not poorer than the controls. In the ANCOVAs with FIQ, no differences compared to the original analyses were observed. ANOVAs and post hoc tests indicated that the comor-bid group was poorer than the control group in phono-logical naming speed, technical reading speed, technical reading accuracy, and arithmetic accuracy (see Table S2). When FIQ was controlled for, the speed difficulties were diminished but the accuracy impairment remained. When the magnitude of the difficulties of the comorbid group was inspected, spelling accuracy and the domains that differentiated them from the control group reached a large effect (see Figure S1). Thus, the significant group differences were few in the small comorbid group, and they did not differ from the other clinical groups. However, their effect sizes indicated at least as severe difficulties as in those with only dyslexia. Supplement Table S1 Demographic Characteristics of the Participants in the Comorbid Group (n = 9) Characteristic n % Gender Female 6 67 Male 3 …
MIF-Mediated Hemodilution Promotes Pathogenic Anemia in Experimental African Trypanosomosis

Animal African trypanosomosis is a major threat to the economic development and human health in sub-Saharan Africa. Trypanosoma congolense infections represent the major constraint in livestock production, with anemia as the major pathogenic lethal feature. The mechanisms underlying anemia development are ill defined, which hampers the development of an effective therapy. Here, the contribution of the erythropoietic and erythrophagocytic potential as well as of hemodilution to the development of T. congolense-induced anemia were addressed in a mouse model of low virulence relevant for bovine trypanosomosis. We show that in infected mice, splenic extramedullary erythropoiesis could compensate for the chronic low-grade type I inflammation-induced phagocytosis of senescent red blood cells (RBCs) in spleen and liver myeloid cells, as well as for the impaired maturation of RBCs occurring in the bone marrow and spleen. Rather, anemia resulted from hemodilution. Our data also suggest that the heme catabolism subsequent to sustained erythrophagocytosis resulted in iron accumulation in tissue and hyperbilirubinemia. Moreover, hypoalbuminemia, potentially resulting from hemodilution and liver injury in infected mice, impaired the elimination of toxic circulating molecules like bilirubin. Hemodilutional thrombocytopenia also coincided with impaired coagulation. Combined, these effects could elicit multiple organ failure and uncontrolled bleeding thus reduce the survival of infected mice. MIF (macrophage migrating inhibitory factor), a potential pathogenic molecule in African trypanosomosis, was found herein to promote erythrophagocytosis, to block extramedullary erythropoiesis and RBC maturation, and to trigger hemodilution. Hence, these data prompt considering MIF as a potential target for treatment of natural bovine trypanosomosis.