Miracle-dz/UniFAR-FTUs huggingface dataset:
Web Structure Analysis for Information Mining

Our approach to extracting information from the web analyzes the structural content of web pages through exploiting the latent information given by HTML tags. For each specific extraction task, an object model is created consisting of the salient fields to be extracted and the corresponding extraction rules based on a library of HTML parsing functions. We derive extraction rules for both single-slot and multiple-slot extraction tasks which we illustrate through two sample domains.
FCA-MERGE: Bottom-Up Merging of Ontologies

Ontologies have been established for knowledge sharing and are widely used as a means for conceptually structuring domains of interest. With the growing usage of ontologies, the problem of overlapping knowledge in a common domain becomes critical. We propose the new method FCA-MERGE for merging ontologies following a bottom-up approach which offers a structural description of the merging process. The method is guided by application-specific instances of the given source ontologies, that are to be merged. We apply techniques from natural language processing and formal concept analysis to derive a lattice of concepts as a structural result of FCA-MERGE. The generated result is then explored and transformed into the merged ontology with human interaction.
GLOBALIZATION AND THE GAINS FROM VARIETY Christian Broda

Since the seminal work of Krugman (1979), product variety has played a central role in models of trade and growth. In spite of the general use of love-of-variety models, there has been no systematic study of how the import of new varieties has contributed to national welfare gains in the United States. In this paper we show that the unmeasured growth in product variety from US imports has been an important source of gains from trade over the last three decades (1972-2001). Using extremely disaggregated data, we show that the number of imported product varieties has increased by a factor of four. We also estimate the elasticities of substitution for each available category at the same level of aggregation, and describe their behavior across time and SITC-5 industries. Using these estimates we develop an exact price index and find that the upward bias in the conventional import price index is approximately 1.2 percent per year. The magnitude of this bias suggests that the welfare gains from variety growth in imports alone are 2.8 percent of GDP. Christian Broda Federal Reserve Bank of New York christian.broda@ny.frb. org David E. Weinstein Columbia University, Department of Economics 420 W. 118th Street MC 3308 New York, NY 10027 and NBER dew35@columbia.edu Globalization and the Gains from Variety I) Introduction It is striking that in the quarter-century since Krugman (1979) revolutionized international trade theory by modeling how countries could gain from trade through the import of new varieties, no one has structurally estimated the impact of increased variety on aggregate welfare. As a result, our understanding of the importance of new trade theory for national welfare rests on conjecture, calibration, and case studies. This paper represents the first attempt to provide an answer to the question of how much increases in traded varieties matter for the US. Analyzing the most disaggregated US import data available for the period between 1972 and 2001, we find that consumers have low elasticities of substitution across similar goods produced in different countries. This establishes the reasonableness of a key assumption underlying the Dixit-Stiglitz (1977) framework – namely, that consumers value variety. Moreover, we find that the four-fold increase in available global varieties arising in the last 30 years has produced a large welfare gain for the United States. Increases in imported varieties have raised US real income by about 3 percent. In short, our results provide stunning confirmation of the importance of thinking about international trade within the Dixit-Stiglitz framework. In order to generate these point estimates, our work makes contributions to a number of literatures. The first is toward the measurement of prices. One of the major problems confronting economists is how to build an aggregate price index that allows for the creation of new goods and varieties. While there is general agreement that this is important, efforts to accomplish it
Combined thermal infrared and visual spectrum imaging novel methodology for astronauts' psychophysiological assessment. Verification for respiration rate determination

In the context of non-contact, non-invasive, non-obtrusive health related assessment methods required by the space field, this research presents a novel psychophysiological assessment methodology based on combined thermal infrared and visual spectrum imaging technologies for determining vital parameters. The proposed methodology, whose distinctive capability regards humans' assessment in motion, targets the evolution in time of the temperature measured on relevant areas, implicitly with the purpose to determine certain vital parameters which are of paramount importance in predicting and assessing both physiological changes, but especially psychological states in critical moments during space missions. Furthermore, the proposed methodology was verified in terms of respiration rate detection, implicitly a specific respiration rate application and its corresponding experimental setup were implemented and described.
Optimal training sequences for low complexity ML multi-channel estimation in multi-user MIMO OFDM-based communications

The goal of this paper is to propose new binary training sequences that allow for optimal joint estimation of multiple channels by relying explicitly on the cyclo-stationary structure of the signals in the OFDM-based communication systems. The new estimator is perfectly suited for multiple-user MIMO types of communication systems where multiple channels have to he estimated simultaneously at each receive antenna. It is shown that the resulting estimator is not only optimal in the sense that it minimizes the channel estimation error variance, but also requires a very low complexity computational effort. Considering two different types of systems, it is shown that the proposed estimator allows for significant SNR gain in comparison to existing methods.
[Reversible segmental cerebral vasoconstriction: the value of duplex transcranial Doppler in its diagnosis and follow up].

INTRODUCTION Reversible segmental cerebral vasoconstriction, also known as Call Fleming syndrome, is a clinical entity that consists of segmental vasoconstriction of the arteries in the brain, which can course with focal neurological deficits and which is characteristically reversible. Diagnosis and follow up of reversible segmental cerebral vasoconstriction is performed using cerebral arteriography, but no previous evaluation has been conducted of the role that duplex transcranial Doppler can play in this syndrome. CASE REPORT Here we describe the case of a 57 year old female patient who began suffering from sudden bouts of headaches with no other accompanying clinical features. After ruling out the possibility of a subarachnoid haemorrhage by means of a spinal tap, a suspicion diagnosis of reversible segmental cerebral vasoconstriction was made through duplex transcranial Doppler and this was later confirmed by arteriography, which revealed a segmental stenosis in the upper branch of the left middle cerebral artery. Following treatment with nimodipine, the patient presented a clear clinical improvement and the reversibility of the cerebral vasoconstriction was confirmed by duplex transcranial Doppler. CONCLUSION Contrast enhanced duplex transcranial Doppler would enable us to obtain an early diagnostic approximation in patients in whom segmental vasoconstriction is suspected; it could also constitute the choice non invasive follow up method in these patients.
A Systematic Procedure for Detecting News Biases: The Case of Israel in European News Sites

In this article, we present a systematic and structured procedure for sentiment analysis in the news, as well as a database of keywords that incorporate positive and negative opinions toward Israel in different languages. We then mine 14 large newspapers in five countries—the UK, France, Germany, Italy, and Switzerland—over a period of six months and rate their respective orientations. Unlike those of previous studies, our findings clearly show that news reports are largely critical and negative toward Israel, with British news being the most critical, Italian news the most sensational, and German, French and Swiss news relatively more neutral. Opinions featured in the news are not in line with public opinion as presented in annual surveys of each country. We conclude with a discussion of the implications of these findings.
A Shapley value-based forwarding strategy in Information-Centric Networking

Information Centric Networking (ICN) is a new kind of network architecture centered on content data. The ICN improves the efficiency of data transmission by the longest matching routing mechanism based on the content name prefix of the request interest packets, however, the multipath forwarding performance also resulted in the redundancy of the network content. The existing ICN forwarding strategy does not take into account the selection problem of routings when a content hit multiple Faces. This paper proposes a routing forwarding strategy based on Shapley value. We add a forwarding value table, which is used to calculate the number of content routing and the number of face to forwarding. The table stores the request delay of content routing and the busy degree of the next hop nodes. The content routing number and forwarding nodes of the next hop forwarding are decided by the alliance game. Simulations show that our strategy can improve the cache hit ratio, reduce server load and reduce the average request delay compared with full forwarding strategy, it improves the network performance in total.
A Combined Experimental and Mathematical Approach for Molecular-based Optimization of Irinotecan Circadian Delivery

Circadian timing largely modifies efficacy and toxicity of many anticancer drugs. Recent findings suggest that optimal circadian delivery patterns depend on the patient genetic background. We present here a combined experimental and mathematical approach for the design of chronomodulated administration schedules tailored to the patient molecular profile. As a proof of concept we optimized exposure of Caco-2 colon cancer cells to irinotecan (CPT11), a cytotoxic drug approved for the treatment of colorectal cancer. CPT11 was bioactivated into SN38 and its efflux was mediated by ATP-Binding-Cassette (ABC) transporters in Caco-2 cells. After cell synchronization with a serum shock defining Circadian Time (CT) 0, circadian rhythms with a period of 26 h 50 (SD 63 min) were observed in the mRNA expression of clock genes REV-ERBα, PER2, BMAL1, the drug target topoisomerase 1 (TOP1), the activation enzyme carboxylesterase 2 (CES2), the deactivation enzyme UDP-glucuronosyltransferase 1, polypeptide A1 (UGT1A1), and efflux transporters ABCB1, ABCC1, ABCC2 and ABCG2. DNA-bound TOP1 protein amount in presence of CPT11, a marker of the drug PD, also displayed circadian variations. A mathematical model of CPT11 molecular pharmacokinetics-pharmacodynamics (PK-PD) was designed and fitted to experimental data. It predicted that CPT11 bioactivation was the main determinant of CPT11 PD circadian rhythm. We then adopted the therapeutics strategy of maximizing efficacy in non-synchronized cells, considered as cancer cells, under a constraint of maximum toxicity in synchronized cells, representing healthy ones. We considered exposure schemes in the form of an initial concentration of CPT11 given at a particular CT, over a duration ranging from 1 to 27 h. For any dose of CPT11, optimal exposure durations varied from 3h40 to 7h10. Optimal schemes started between CT2h10 and CT2h30, a time interval corresponding to 1h30 to 1h50 before the nadir of CPT11 bioactivation rhythm in healthy cells.
Familial Risks for Cervical Tumors in Full and Half Siblings: Etiologic Apportioning

Many studies have shown familial aggregation for cervical cancer, but they have been unable to distinguish between shared environmental and genetic effects. Full and half-siblings were identified from the nationwide Swedish Family-Cancer Database, including invasive and in situ cervical cancers in women up to age 70 years. Half-siblings were defined through a common father or mother. Standardized incidence ratios, adjusted for several variables, were calculated for proband-wise risks between full and half-siblings. The familial risk for full siblings was 1.84, compared with 1.40 for maternal and 1.27 for paternal half-siblings. These data were used to apportion familial risk for cervical tumors in full siblings into a heritable component, accounting for 64%, and an environmental component, accounting for 36% of the total risk. No evidence for gene-environment interactions was found. The intractable difficulty in separating cervical cancer causation will be an obstacle for a successful identification of susceptibility genes. (Cancer Epidemiol Biomarkers Prev 2006;15(7):1413-4)
The establishment of Central American migratory corridors and the biogeographic origins of seasonally dry tropical forests in Mexico

Biogeography and community ecology can mutually illuminate the formation of a regional species pool or biome. Here, we apply phylogenetic methods to a large and diverse plant clade, Malpighiaceae, to characterize the formation of its species pool in Mexico, and its occupancy of the seasonally dry tropical forest (SDTF) biome that occurs there. We find that the ~162 species of Mexican Malpighiaceae represent ~33 dispersals from South America beginning in the Eocene and continuing until the Pliocene (~46.4–3.8 Myr). Furthermore, dispersal rates between South America and Mexico show a significant six-fold increase during the mid-Miocene (~23.9 Myr). We hypothesize that this increase marked the availability of Central America as an important corridor for Neotropical plant migration. We additionally demonstrate that this high rate of dispersal contributed substantially more to the phylogenetic diversity of Malpighiaceae in Mexico than in situ diversification. Finally, we show that most lineages arrived in Mexico pre-adapted with regard to one key SDTF trait, total annual precipitation. In contrast, these lineages adapted to a second key trait, precipitation seasonality, in situ as mountain building in the region gave rise to the abiotic parameters of extant SDTF. The timing of this in situ adaptation to seasonal precipitation suggests that SDTF likely originated its modern characteristics by the late Oligocene, but was geographically more restricted until its expansion in the mid-Miocene. These results highlight the complex interplay of dispersal, adaptation, and in situ diversification in the formation of tropical biomes. Our results additionally demonstrate that these processes are not static, and their relevance can change markedly over evolutionary time. This has important implications for understanding the origin of SDTF in Mexico, but also for understanding the temporal and spatial origin of biomes and regional species pools more broadly.
Multimodal Emotion Recognition

Multimodal fusion is the process whereby two or more forms of input are gathered together in order to produce a higher overall classification accuracy than individual unimodal systems. This is a popular technique in emotion recognition. In this study, we attempted to discover how much we could improve upon individual unimodal systems using decision level fusion. To accomplish this, we acquired two emotion classification systems, one that worked on audio input alone and another that worked on visual input, and combined their output using a set of manual rules and a classifier to achieve higher classification accuracy.
Identification and Characterization of Novel Clathrin Adaptor-related Proteins*

We have identified a human ∼87-kDa protein, designated as γ2-adaptin, that is similar to γ-adaptin (called γ1-adaptin in this paper), a large chain of the AP-1 clathrin-associated adaptor complex, not only in the primary structure (60% amino acid identity) but also in the domain organization. Northern blot analysis has shown that its mRNA is expressed in a variety of tissues. Analysis using a yeast two-hybrid system has revealed that, similarly to γ1-adaptin, γ2-adaptin is capable of interacting not only with the ς1 chain (called as ς1A in this paper), the small chain of the AP-1 complex, but also with a novel ς1-like protein, designated as ς1B, which shows an 87% amino acid identity to ς1A; and that, unlike γ1-adaptin, it is unable to interact with β1-adaptin, another large chain of the AP-1 complex. Immunofluorescence microscopy analysis has revealed that γ2-adaptin is localized to paranuclear vesicular structures that are not superimposed on structures containing γ1-adaptin. Furthermore, unlike γ1-adaptin, γ2-adaptin is recruited onto membranes in the presence of a fungal antibiotic, brefeldin A. These data suggest that γ2-adaptin constitute a novel adaptor-related complex that participates in a transport step different from that of AP-1.
Women Pursuing Nontraditional Careers : A Social Cognitive Career Theory Perspective

Occupational segregation is a prime factor contributing to women’s poverty and low earnings (Bayard, Hellerstein, Neumark, & Troske, 2003). Families maintained by single women with children under 18 years old had a working-poor rate of 28.2 % while similar men had a working-poor rate of 18 % (U.S. Bureau of Labor Statistics, 2012). Gender nontraditional occupations for females are feasible pathways out of poverty for single mothers, female welfare recipients transitioning from welfare to work, and other working women (Mastracci, 2003; Padavic, 1991).
Bildungsprozesse, Kompetenzentwicklung und Formation von Selektionsentscheidungen im Vor- und Grundschulalter : Überblick über die Erhebungen in den Längsschnitten BiKS-3-8 und BiKS-8-12 in den ersten beiden Projektjahren

Das vorliegende Arbeitspapier beschreibt die Struktur und Anlage der interdisziplinaren Forschergruppe BiKS ("Bildungsprozesse, Kompetenzentwicklung und Formation von Selektionsentscheidungen im Vor und Grundschulalter") der Otto-Friedrich-Universitat Bamberg. Neben den thematisierten Fragestellungen und den an der DFG-Forschergruppe beteiligten Teilprojekten wird insbesondere auf Stichprobe und bisherige Datenerhebungen in den beiden Langsschnitten BiKS-3-8 und BiKS-8-12 eingegangen. Abschliesend wird ein Ausblick gegeben auf das vorgesehene Erhebungsmodell fur den Ubergang vom Kindergarten in die Grundschule bzw. von der Grundschule in die weiterfuhrende Schule. The paper presented describes structure and composition of the interdisciplinary research group BiKS (educational processes, competence development and selection decisions in preschool and primary school age children) at the Otto-Friedrich-University of Bamberg. Next to a sketch of the central research questions and involved sub-projects in the research group BiKS, specific sampling issues and previous data collections of both panels BiKS-3-8 and BiKS-8-12 are highlighted. Finally an outlook on the intended data collection model for the period covering transitions from pre- to primary school and from primary to secondary school is presented.
Potential of non-antiarrhythmic drugs to provide an innovative upstream approach to the pharmacological prevention of sudden cardiac death

Sudden cardiac death (SCD) is the most common cause of death and often occurs in low-risk patients. Present prevention strategies, mainly confined to high-risk subjects (proposed implantable cardioverter defibrillators recipients), have a limited effect on SCD burden in the general population. A relatively unexplored strategy for extending SCD prevention could imply targeting the early (upstream) processes of the complex cascade leading to SCD by non-antiarrhythmic drugs (i.e., β-blockers, aldosterone antagonists, angiotensin-converting enzyme inhibitors, angiotensin receptor-blocker agents, statins and omega-3 fatty acids). In this innovative pharmacological perspective, agents with upstream effects may also be used in high-risk patients in association with a strictly downstream intervention, such as the implantable cardioverter defibrillator, in an attempt to obtain an additive/synergetic effect.
Extensive gene conversion between CCR2 and CCR5 in domestic cat (Felis catus)

Homogenization of the CC‐motif chemokine receptors CCR2 and CCR5 of cat (Felis catus) is documented and shown to be the outcome of gene conversion within the feline lineage. All regions were concerned, except the three extracellular protein domains (N‐ and C‐tails, and ECL2), suggesting that structural differentiation at these domains could be related to pathogen susceptibility.
Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation

Automatic tracking vehicle in urban traffic video surveillance is a challenging problem in computer vision. Although many issues have been solved, some are still unsolved, such as video surveillance problem of complex traffic intersection in congested condition. In this paper, we develop a vehicle counting system using a motion estimation with Taylor series approximation with embedded virtual entering and exiting boxes. The result shows that the system provides the counting success rate as high as 100% and the lowest counting rate is 14.29%. The mistakes are from the wrong direction prediction because of the very complex traffic condition.
Manual for the State-Trait Anxiety Inventory

The STAI serves as an indicator of two types of anxiety, the state and trait anxiety, and measure the severity of the overall anxiety level.The STAI, which is appropriate for those who have at least a sixth grade reading level, contains four-point Likert items. The instrument is divided into two sections, each having twenty questions. Approximately 15 minutes are required for adults to complete the both STAI. The number on the scale is positively correlated to the anxiety related to in the question.
LMX quality, supervisory communication and team‐oriented commitment: A multilevel analysis approach

Purpose – Researches have documented the impact of dyadic communication and relationships on individual behavior in workgroups. However, communication remains as the background element in leadership and management literature as opposed to being the primary process in the leader‐member relationships development. The purpose of this paper is to establish and interpret the appropriate level of analysis based on the correlation between leader‐member exchange (LMX) quality, supervisory communication and team‐oriented commitment in a Malaysian organization setting.Design/methodology/approach – A survey from a Malaysian organization (n=201) is analyzed on the relationships between LMX quality, supervisory communication and commitment using within and between analysis (WABA). Findings – The individual dyad relationships and communication correlates with team‐oriented commitment at the group level. Therefore, LMX quality and supervisory communication influence overall team‐oriented commitment in a work group.Resear.