Miracle-dz/UniFAR-FTUs huggingface dataset:
Engaging the narrative in ontological (in)security theory: insights from feminist IR

Ontological security theory (OST) provides a unique account of how state Self-identity is formed and reformed in international relations. OST postulates that state Self-identity is usefully understood by inquiring into the foundation of a state's sense of Self: its autobiographical narrative. We seek to amend this line of argument by further suggesting that the autobiographical narratives of states are ‘gendered’. Feminist theorizing about the relationship between gender and power implies that the dominant autobiographical narrative of state Self-identity is ‘gendered’ masculine. The power of this masculinized autobiographical narrative flows from an ‘internal othering’ process of counter ‘feminine’ autobiographical narratives that exist alongside the masculinized autobiographical narrative. Our goal is to suggest that opportunities do arise for counter ‘feminine’ narratives to challenge the dominant autobiographical narrative due to their interdependence and we explicate two practices by which masculinized narratives can be engaged, challenged and disrupted.
2015 ACC/AHA/HRS Advanced Training Statement on Clinical Cardiac Electrophysiology (A Revision of the ACC/AHA 2006 Update of the Clinical Competence Statement on Invasive Electrophysiology Studies, Catheter Ablation, and Cardioversion).

Preamble 1523 1. Introduction 1524 2. General Standards 1526 3. Training Components 1526 4. Training Requirements 1528 5. Evaluation of Proficiency 1542 6. Maintenance of Competency 1543 References 1543 Appendix 1. Author Relationships with Industry and Other Entities (Relevant) 1545 Appendix 2. Reviewer Relationships with Industry and Other Entities (Relevant) 1548 Appendix 3. Abbreviations 1551 Since the 1995 publication of its Core Cardiovascular Training Statement (COCATS), the American College of Cardiology (ACC) has played a central role in defining …
Elastin-like polypeptide for improved drug delivery for anticancer therapy: preclinical studies and future applications

Introduction: Despite their poor specificity, small molecule drugs are considered more powerful and effective than other current chemotherapies. A promising method for targeting these anticancer drugs to tumors, elastin-like polypeptides (ELP), has recently emerged. When an anticancer drug that has been conjugated to an ELP is administered, and focal hyperthermia applied, the thermoresponsive properties and enhanced permeability and retention effects of the ELP facilitate drug aggregation within tumor tissues. By incorporating a cell penetrating peptide onto this ELP-chemotherapeutic construct, even greater drug uptake into tumor cells can be achieved. Areas covered: The review explores the preclinical study progress of ELP-based drug delivery technology and discusses its potential in cancer therapy. Recent experimental work has shown that a delivery construct consisting of an ELP-therapeutic peptide (e.g., the c-Myc-inhibitory peptide, or the p21WAF1/CIP1-derived peptide), as well as ELP-small molecule drugs (e.g., doxorubicin, paclitaxel), can be thermally targeted to accumulate in tumors and diminish their growth. Expert opinion: ELP drug delivery technology is complementary and synergistic to current drug delivery modalities and based on existing hyperthermia technology. By using this technology to achieve chemotherapeutic targeting, efficacy can be improved and side effects reduced in comparison with current regimens, providing treatment alternatives and/or augmenting current therapies for cancer treatment.
Subspace methods and spatial diversity in radars

The utilization of diversity in radar systems has shown improvements over conventional beamforming phased array radars in many aspects of the system performance including target detection probability, the number of identifiable targets, and beam-pattern synthesis. When linearly independent signals are transmitted, the signals received from targets at different locations are also linearly independent. In using subspace methods such as MUSIC, this presents an advantage as spatial smoothing is no longer required. We present here a comparison of the performance of a MIMO radar system, with that of a phased array requiring spatial smoothing. The behaviour of the eigenvalues of the received data covariance matrix for radars with and without spatial diversity is presented, and the characteristics of the MUSIC spectrum of the two systems is compared.
AIMD and CCN: past and novel acronyms working together in the future internet

Content-centric networking (CCN) is a new paradigm to better handle contents in the future Internet. Under the assumption that CCN networks will deploy a similar congestion control mechanism than in today's TCP/IP (i.e., AIMD), we can build an analytical model of the bandwidth sharing in CCN based on the "square-root formula of TCP'". With this model we compare CCN download performance to what users get today. We consider different factors such as the way CCN routers are deployed, the popularity of contents, or the capacity of links and observe that when AIMD is used in a CCN network less popular content throughput is massively penalized whilst the individual gain for popular content is negligible. Finally, the main advantage of using CCN is the decrease of load at the server side. Our observations advocate the necessity to clearly define the notion of fairness in CCN and to design a proper congestion control to avoid less popular contents to become hardly accessible in tomorrow's Internet.
Capacity Limitations in Children's Reasoning: A Dual-Task Approach.

HALFORD, GRAEME S. ; MAYBERY, MURRAY T. ; and BAIN, JOHN D. Capacity Limitations in Children's Reasoning: A Dual-Task Approach. CHILD DEVELOPMENT, 1986, 57, 616-627. 2 dual-task paradigms, the memory load interference paradigm and the easy-to-hard paradigm, were used as converging operations to study capacity limitations in children's reasoning. The primary task was Nterm series reasoning and the secondary task was short-term retention and rehearsal of items. Pilot experiments showed that passive retention of a short-term memory load did not interfere with reasoning. Interference was observed from active rehearsal of large memory loads in Experiment 1, but the results also suggested that interference is probably a function of amount of processing in the secondary task and is not exclusive to mnemonic secondary tasks. The performance of 5-6-year-olds on transitive inference was significantly reduced by a concurrent information-processing task, suggesting a capacity limitation. In Experiment 2, the easy-to-hard paradigm was used and showed that transitive inference scores were predicted by performances on an easier version of the N-term series task performed concurrently with a short-term rehearsal task, when separate performances on the latter 2 were partialed out. It was concluded that transitive inference ability in children is capacity limited.
Improvement of Radon-Based Image Hashing Using Image Normalization

Image Hashing has several applications such as image authentication, image indexing and broadcast monitoring. In the content authentication applications, the hash values of perceptually similar images generated by content preserving modification, such as compression and moderate geometric distortions, also must be similar. Taking this into account we propose an improvement of the Radon transformbased image hashing algorithms, introducing an image normalization algorithm in the preprocessing stage. In the proposed scheme, robustness against geometrical distortions is increased considerably, while keeping the robustness to other content preserving modifications, such as compression, and filtering, which are offered by Radon transform.
Assessment of lung volumes in children and adolescents: comparison of two plethysmographic techniques

Thoracic gas volume (Vtg) can be measured with body plethysmography by either repetitive panting or one single inspiratory effort against a shutter occluding the airways. The panting technique is preferred, but may be demanding. We aimed to assess the precision of these two methods and the degree of agreement between them. Vtg and functional residual capacity (FRC) were measured in 155 subjects with a standard, commercially available plethysmograph, acting as a variable‐pressure, constant‐volume device when Vtg is determined. Total lung capacity (TLC) and residual lung volume (RV) were calculated subsequent to a full vital capacity manoeuvre. For non‐asthmatic healthy subjects, the standard deviations (SD) of the differences between two replicate measurements of FRC, TLC and RV were respectively 0·16, 0·13 and 0·14 litres with the panting technique, and 0·18, 0·18 and 0·23 litres with the single inspiratory effort technique. In percentage of the respective lung volumes, the corresponding 1·96 SDs were 20%, 8% and 40% with the panting technique and 23%, 12% and 67% with the single inspiratory effort technique. Between the two techniques, 95% limits of agreement were 21% for FRC, 11% for TLC and 58% for RV. The variability of Vtg and FRC accounted for most of the variability of TLC and RV. In conclusion, the panting and the single inspiratory effort technique produced results that were comparable in magnitude, however with a better precision with the panting technique. The single inspiratory effort technique can be used as an alternative if the panting technique fails.
Reversely Anisotropic Quad-dominant Remeshing

In this paper we proposed an anisotropic quad-dominant remeshing algorithm suitable for meshes of arbitrary topology. It takes a novel approach to the challenging problem of constructing high-quality quad-dominant mesh with anisotropic sampling. The method based on exploiting and analyzing principal curvature lines of the surface, which aimed to improve mesh structure and efficiency. Connectivity optimized is guaranteed by the natural orthogonality of principal curvature lines and geometric shape is maintained by minimizing the Hausdorff distance between original mesh and resulting mesh. The technique is straightforward to implement and efficient enough to be applied to real-world models. It can flexibly produce quad-dominant meshes ranging from dense to coarse.
Semantic Integration

Sharing data across disparate sources requires solving many problems of semantic integration, such as matching ontologies or schemas, detecting duplicate tuples, reconciling inconsistent data values, modeling complex relations between concepts in different sources, and reasoning with semantic mappings. This issue of AI Magazine includes papers that discuss various methods on establishing mappings between ontology elements or data fragments. The collection includes papers that discuss semantic-integration issues in such contexts as data integration and web services. The issue also includes a brief survey of semantic-integration research in the database community.
Deep sensing for 5G spectrum sharing: A random finite set approach

In this paper, a new detection framework, namely, deep sensing (DS), is proposed for 5G spectrum sharing, which is designed to proactively recover some informative states associated with realistic cognitive links (e.g., fading gains), except for detecting the occupancy of primary-band. Relying on a dynamic state-space approach, a unified mathematical model is formulated. The Bernoulli random finite set (BRFS) is exploited to theoretically characterize the complex DS procedures. A Bernoulli filter algorithm is suggested to recursively estimate unknown PU states accompanying related link information, which is further implemented by particle filtering. The proposed DS algorithm is applied to detect primary users over more challenging time-varying fading channels. Numerical simulations validate the new scheme. Spectrum sensing can be effectively implemented by estimating time-varying fading gains jointly.
Personal Meaning: A Neglected Transdiagnostic Construct

Although cognitive behavioral research is arguably fundamentally about meaning, meaning is seldom directly addressed. Such constructs will likely come into greater focus using a transdiagnostic approach. A need was identified for a measure of personal meaning in conjunction with functioning below previously attained levels, as can happen after significant life stress. Items for the Measure of Mundane Meaning (MMM) were developed in stages. Themes within verbal protocols of individuals experiencing traumatic stress were identified and then verified through interviews with individuals with current posttraumatic stress. Additional themes were identified within existing stress scales. Items for the MMM were written based on these themes to emphasize loss of meaning from a previously attained level—a significant departure from similar scales. Content and comprehensibility were evaluated through cognitive interviewing. Preliminary psychometric analyses on a sample of 38 undergraduates suggested that the MMM was.
Qualitative and Quantitative Examination of Four Low-Performing Kindergarten English Learners

The purpose of this study was to provide an in-depth investigation of the four lowest performing students in one kindergarten classroom. The students were provided with 10 weeks of explicit, intensive intervention in phonological awareness skills. Three types of data were collected during the intervention: fluency measures; strategy use to perform phonological awareness tasks; and students' number of responses during instruction. The combination of these data allowed both qualitative and quantitative examination of the characteristics of low-performing students. Low-performing students who were responsive to the intensive instruction differed on each of the aforementioned variables from students who were not responsive.
An Opinion Analysis Tool for Colloquial and Standard Arabic

Social networks and users’ interactions are distinct features for the current Web. They constitute a fundamental part of Web 2.0, where people produce, disseminate, and consume information in new interactive forms where users are not only passive information receivers. Social media succeed to attract a large portion of online users, which explains the explosive growth of social media in terms of comments, reviews, blogs, microblogs, Twitters, and postings in social network sites. In this scope, sentiment analysis research field refers to the analysis of people’s sentiments, opinions, attitudes, and emotions towards events, products, companies, individuals, issues, sport teams . etc. Facebook, and YouTube are within the top 3 sites used in many Middle Eastern (ME) countries, and the world. Therefore a huge volume of Arabic comments and reviews are generated daily about different aspects of life in this part of the world. Modern Standard Arabic (MSA) is used mainly in media (Newspapers, Journals, TV and Radio), academic institution, and to some extent in social media. While colloquial Arabic is used by the public in their conversations, chatting, etc. Analysis of social networks in ME countries shows that both MSA and colloquial or slang languages are used. The aim of this study is to build a novel sentiment analysis tool called colloquial Non-Standard Arabic Modern Standard Arabic-Sentiment Analysis Tool (CNSAMSA-SAT) dedicated to both colloquial Arabic and MSA. A large number of Arabic collected comments and reviews from social media were tokenized and analyzed to build polarity lexicons which constitute an essential part of CNSA-MSA-SAT. Each Arabic collected comment and review is manually assigned to one of the three polarity values: (positive, negative, and neutral). Further, each collected review or comment is added to CNSA-MSA-SAT and is then assigned to one of the three polarities values based on algorithms developed for this purpose.
APRICOD: a distributed caching middleware for fast content discovery of non-continuous media access

We propose an access pattern-driven distributed caching middleware named APRICOD, which can be built on top of any existing content discovery system. APRICOD caters for fast and scalable content discovery in peer-to-peer media streaming systems, especially when user interactions that leads to non-continuous media access (such as random seek in video and teleportation in virtual environment) are present. APRICOD caches query results based correlations among media objects accessed by users, reducing the content discovery time. Our evaluation using a VoD access trace shows that close to 70% of non-continuous access queries can be resolved with a single hop using APRICOD.
Modeling and designing processes in e-commerce applications

State-of-the-art Web applications include both navigational elements and business processes, but most Web application design methods treat business processes as just another kind of navigation. The authors' extensions to the object-oriented hypermedia design method (OOHDM) aim to remedy this situation. Rather than using navigation to emulate business processes, their new mechanisms allow developers to specify and implement processes explicitly by dealing with activity semantics and states. We describe proposed extensions to OOHDM and explore their use at an online retail store.
Increased Skeletal Muscle Capillarization After Aerobic Exercise Training and Weight Loss Improves Insulin Sensitivity in Adults With IGT

OBJECTIVE Transcapillary transport of insulin is one determinant of glucose uptake by skeletal muscle; thus, a reduction in capillary density (CD) may worsen insulin sensitivity. Skeletal muscle CD is lower in older adults with impaired glucose tolerance (IGT) compared with those with normal glucose tolerance and may be modifiable through aerobic exercise training and weight loss (AEX+WL). We tested the hypothesis that 6-month AEX+WL would increase CD to improve insulin sensitivity and glucose tolerance in older adults with IGT. RESEARCH DESIGN AND METHODS Sixteen sedentary, overweight-obese (BMI 27–35 kg/m2), older (63 ± 2 years) men and women with IGT underwent hyperinsulinemic-euglycemic clamps to measure insulin sensitivity, oral glucose tolerance tests, exercise and body composition testing, and vastus lateralis muscle biopsies to determine CD before and after 6-month AEX+WL. RESULTS Insulin sensitivity (M) and 120-min postprandial glucose (G120) correlated with CD at baseline (r = 0.58 and r = −0.60, respectively, P < 0.05). AEX+WL increased maximal oxygen consumption (VO2max) 18% (P = 0.02) and reduced weight and fat mass 8% (P < 0.02). CD increased 15% (264 ± 11 vs. 304 ± 14 capillaries/mm2, P = 0.01), M increased 21% (42.4 ± 4.0 vs. 51.4 ± 4.3 µmol/kg FFM/min, P < 0.05), and G120 decreased 16% (9.35 ± 0.5 vs. 7.85 ± 0.5 mmol/L, P = 0.008) after AEX+WL. Regression analyses showed that the AEX+WL-induced increase in CD independently predicted the increase in M (r = 0.74, P < 0.01) as well as the decrease in G120 (r = −0.55, P < 0.05). CONCLUSIONS Six-month AEX+WL increases skeletal muscle CD in older adults with IGT. This represents one mechanism by which AEX+WL improves insulin sensitivity in older adults with IGT.
Ubiquity of Whiteness in majority group national imagination: Australian ¼White, but New Zealander does not

Abstract This research examined cross-national differences in the extent to which majority ethnic group members (White Europeans) in Australia and New Zealand automatically privileged members of their ingroup, relative to Indigenous targets, in cognitive representations of nationhood. As predicted, European Australian undergraduates implicitly associated their own ethnic group with the concept of “Australian”, relative to Aboriginal Australian targets (N = 50), but the implicit preferencing of Whiteness in representations of nationhood (relative to Maori targets) was absent in a comparable sample of New Zealand European undergraduates (N = 50). These results indicate that the extent to which representations of minority groups are interwoven with non-conscious cognitive representations of nationhood and national identity are not immutably fixed. Instead, it is argued that this cross-national difference is due to underlying systemic differences in the extent to which symbolic markers of Indigenous culture, .
Step Indexed Realizability Semantics for a Call-by-Value Language Based on Basic Combinatorial Objects

We propose a mathematical framework for step indexed realizability semantics of a call-by-value polymorphic lambda calculus with recursion, existential types and recursive types. Our framework subsumes step indexed realizability semantics by untyped call-by-value lambda calculi as well as categorical abstract machines. Starting from an extension of Hofstra's basic combinatorial objects, we construct a step indexed categorical realizability semantics. Our main result is soundness and adequacy of our step indexed realizability semantics. As an application, we show that a small step operational semantics captures the big step operational semantics of the call-by-value polymorphic lambda calculus. We also give a safe implementation of the call-by-value polymorphic lambda calculus into a categorical abstract machine.
Deliberating Democracy: Scenes from a Brazilian Municipal Health Council

Brazil's health councils appear to offer inspiring examples of what Fung and Wright (2003) term “empowered participatory governance. ” But what happens in practice? This article narrates an episode in the life of a municipal health council in northeast Brazil, in which democracy itself came under deliberation. It seeks to locate normative assumptions embedded in theories of deliberative democracy and participatory governance in everyday conduct in one of these institutions. It suggests that assessing the democratizing potential of the myriad new spaces that now populate governance landscapes the world over calls for far closer attention to be paid to power, political culture, and politics.
Welfare, Work and Well-Being Among Inner-City Mothers

SUMMARY Family life cycle influences maternal labor force participation and well-being. We model the employment status and well-being of minority, low-income women, recruited during late pregnancy, when their children are 12, 24 and 36 months old. Non-time-varying predictors include mother's ethnicity, age, parity, education, recent household employment experience, birth cohort and initial welfare participation. Time and later fertility are nested within individuals. Welfare participation declined from 80% to46%by 36months; employment increased from 12% to 44%, and full-time employment from 6% to 29%. Likelihood of working was enhanced by high school education and household work experience, but hindered by repeat pregnancy. Among women initially on welfare, working increased over time; among non-welfare recipients, African Americans were more likely to work. When causally prior predictors were controlled, working full-time decreased difficult life circumstances but employment did not affect depression. Evaluations of welfare policy should consider life-cycle events, focusing on small increments of time around the birth of a child.