Miracle-dz/UniFAR-FTUs huggingface dataset:
Research of improved SVM model based on GA in E-learning emotion classification

Aiming at the problem of different learning emotions in the integrated emotion model of the emotion recognition interactive E-learning system, this paper proposed an improved SVM classification algorithm to classify the learning emotions, optimized the parameters of the SVM classifier with Genetic Algorithm, and applied it to the emotion classification of E-learning system. It has achieved good results based on relevant experiments.
Glucose Ingestion Fails to Inhibit Hypothalamic Neuronal Activity in Patients With Type 2 Diabetes

OBJECTIVE—The hypothalamus plays a critical role in the regulation of energy balance and fuel flux. Glucose ingestion inhibits hypothalamic neuronal activity in healthy humans. We hypothesized that hypothalamic neuronal activity in response to an oral glucose load would be altered in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS—In this randomized, single blind, case-control study, 7 type 2 diabetic men (BMI 27.9 ± 2.0 kg/m2) and 10 age-matched healthy men (BMI 26.1 ± 3.2 kg/m2) were scanned twice for 38 min on separate days using functional magnetic resonance imaging. After 8 min, they ingested either a glucose solution (75 g in 300 ml water) or water (300 ml). RESULTS—Glucose ingestion resulted in a prolonged significant blood oxygen level–dependent signal decrease in the upper and lower hypothalamus in healthy subjects but not in diabetic patients. CONCLUSIONS—Glucose ingestion fails to inhibit hypothalamic neuronal activity in patients with type 2 diabetes. Failure of neural circuits to properly adapt to nutrient ingestion may contribute to metabolic imbalance in type 2 diabetic patients.
Applying Linked Data to Media Fragments and Annotations

The Web applications today have been enriched with various multimedia resources and annotations. However, there is still a lack of semantic interlinking between media fragments and annotations, which leads to the insufficient index of inside content of multimedia resources. This paper shows a demo of applying linked data principles in media fragments and annotations to improve the index of multimedia resources. Using linked data a media fragment can be universally identified by a URI and linked to annotations or other media fragments in the linked data cloud. The demo is based on the UK Parliament Debate scenario. The RDF file containing media fragments and annotations of the debate video has been published in Sindice semantic web index and linked to other resources in the linked data cloud.
Web Resource Sense Disambiguation in Web of Data

This paper introduces the use of WordNet as a resource for RDF web resources sense disambiguation in Web of Data and shows the role of designed system in interlinking datasets in Web of Data and word sense disambiguation scope. We specify the core labelling properties in semantic web to identify the name of entities which are described in web resources and use them to identify the candidate senses for a web resource. Moreover, we define the web resource's context to identify the most appropriate sense for each of the input web resources. Evaluation of the system shows the high coverage of the core labelling properties and the high performance of the sense disambiguation algorithm.
Cause-specific mortality risk in alcohol use disorder treatment patients: a systematic review and meta-analysis.

BACKGROUND Alcohol use disorders (AUD) are highly disabling. Recent studies reported much higher relative risks for all-cause mortality in AUD patients compared with earlier studies. Systematic evidence regarding cause-specific mortality among AUD patients has been unavailable to date. METHODS Studies were identified through MEDLINE, EMBASE and Web of Science up to August 2012. Following MOOSE guidelines, prospective and historical cohort studies assessing cause-specific mortality risk from AUD patients at baseline compared with the general population were selected. Data on several study characteristics, including AUD assessment, follow-up period, setting, location and cause-specific mortality risk compared with the general population were abstracted. Random-effect meta-analyses were conducted. RESULTS Overall, 17 observational studies with 6420 observed deaths among 28 087 AUD patients were included. Pooled standardized mortality ratios (SMRs) after 10 years of follow-up among men were 14.8 (95% confidence interval: 8.7-24.9) for liver cirrhosis, 18.0 (11.2-30.3) for mental disorders, 6.6 (5.0-8.8) for death by injury and around 2 for cancer and cardiovascular diseases. SMRs were substantially higher in women, with fewer studies available. For many outcomes the risk has been increasing substantially over time. CONCLUSIONS Cause-specific mortality among AUD patients was high in all major categories compared with the general population. There has been a lack of recent research, and future studies should focus on the influence of comorbidities on excess mortality risk among AUD patients. Efforts to reduce these risks should be a priority, given that successful treatment reduces mortality risk substantially for a relatively common psychiatric disease.
Cognitive development of Chinese urban only children and children with siblings

142 first- and 188 fifth-grade only children and children with siblings from the Beijing area were given 11 cognitive tasks to investigate the difference in cognitive abilities that may exist due to the special conditions resulting from the Chinese 1-child family planning program. Overall superiority of grade 1 only children over children with siblings appeared in cognitive abilities involving memory processes, language skills, and mathematics. No differences existed for perceptual tasks. However, the differences in cognitive abilities between only children and children with siblings at grade 5 were less prominent than at grade 1. The cognitive superiority of these younger Chinese only children over children with siblings may be explained by the fact that the fifth-grade only children were born before 1980 when the 1-child family planning program was not strongly enforced. Parents may have tended to treat these children and children with siblings alike. In contrast, the first-grade only children were born at a time of government policy intervention that resulted in special investment in these children by parents and elders, suggesting the possibility of a time-related cohort effect.
Multisystemic treatment: a meta-analysis of outcome studies.

Multisystemic treatment (MST) is a family- and home-based therapeutic approach that has been found to be effective in treating antisocial youths and that has recently been applied to youths with serious emotional disturbances. In light of the increasing dissemination of MST, this review examines the effectiveness of MST by quantifying and summarizing the magnitude of effects (treatment outcomes) across all eligible MST outcome studies. Included in a meta-analysis were 7 primary outcome studies and 4 secondary studies involving a total of 708 participants. Results indicated that across different presenting problems and samples, the average effect of MST was d = . 55; following treatment, youths and their families treated with MST were functioning better than 70% of youths and families treated alternatively. Results also showed that the average effect of MST was larger in studies involving graduate student therapists (i.e., efficacy studies; d = .81) than in studies with therapists from the community (i.e., effectiveness studies; d = .26). In addition, MST demonstrated larger effects on measures of family relations than on measures of individual adjustment or peer relations.
The Many Faces of Consistency

The notion of consistency is used across di ﬀ erent computer science disciplines from distributed systems to database systems to computer architecture. It turns out that consistency can mean quite di ﬀ erent things across these disciplines, depending on who uses it and in what context it appears. We identify two broad types of consistency, state consistency and operation consistency , which di ﬀ er fundamentally in meaning and scope. We explain how these types map to the many examples of consistency in each discipline.
MAUI : a Multimodal Affective User Interface Sensing User ’ s Emotions based on Appraisal Theory-Questions about Facial Expressions ...

We are developing a Multimodal Affective User Interface (MAUI) framework shown in Figure 1 and described in [5], aimed at recognizing its users emotions by sensing their various user-centered modalities (or modes), and at giving the users context-aware feedback via an intelligent affective agent by using different agent-centered modes. The agent is built on an adaptive system architecture which takes in input three systems (V, K, A): Visual, Kinesthetic and Auditory helped by subjective experience collected via Linguistic tools (L). The feedback is then rendered by a multimodal anthropomorphic interface agent that adapts to the user emotional state [3,4].
The Composite Genome of the Legume Symbiont Sinorhizobium meliloti

The scarcity of usable nitrogen frequently limits plant growth. A tight metabolic association with rhizobial bacteria allows legumes to obtain nitrogen compounds by bacterial reduction of dinitrogen (N2) to ammonium (NH4 +). We present here the annotated DNA sequence of the α-proteobacteriumSinorhizobium meliloti, the symbiont of alfalfa. The tripartite 6.7-megabase (Mb) genome comprises a 3.65-Mb chromosome, and 1.35-Mb pSymA and 1.68-Mb pSymB megaplasmids. Genome sequence analysis indicates that all three elements contribute, in varying degrees, to symbiosis and reveals how this genome may have emerged during evolution. The genome sequence will be useful in understanding the dynamics of interkingdom associations and of life in soil environments.
An Agent-based Movie Recommender System Combining the Results Computed based on Heterogeneous Semantic Datasets

In a growing number of domains, recommender systems support users’ decision making processes in finding entities (such as book, movies, or newspaper articles) matching their individual preferences. Individual preferences vary extensively thus hampering the creation of good recommender systems. Additionally, the relevance of items to users depends on a plethora of criteria. Such relevance criteria may consider users’ current contexts, their ratings (“likes”/“dislikes”) and content describing the entities (e. g., a movie’s leading actors). In this paper, we introduce an agent-based recommender approach that integrates heterogeneous recommender agents and combines their results based on a personalized weighting scheme. The framework is open for new agents, allowing us to integrate new algorithms and data sources. The use of a personalized weighting scheme for combining the results from heterogeneous agents as well as the integration of personalized recommender agents allows the system to adapt the results to individual users’ preferences. For improving the trust in unknown items, the system provides detailed explanations based on the semantic relations. We present a recommender system for the movie domain (based on the framework) and discuss the evaluation results.
Research on Root Node Finder in Chinese Long Sentences

Chinese dependency relationship is complex and dependency span between the words is large especially in Chinese long sentences. Considering greed problems caused by Arc-eager algorithm for solving the long-distance dependencies in long sentences, this paper constructs a Root Node Finder. It can divide a long sentence into two short sentences. Using HIT Dependency Tree bank as a training test set, this paper uses Arc-eager algorithm and machine learning for dependency analysis of the whole sentence. The results show that the root accuracy of syntactic analysis is 77.25%. Then experiment uses LIBSVM as a binary classifier and adds adding different features for the Root Node Finder. At last, it identifies the optimal combination of features to impact the Root Node Finder. Results show that optimal features added, the root accuracy is 93.05%.
Impact of Atmospheric Intraseasonal Oscillations on the Indian Ocean Dipole during the 1990s

Abstract Effects of atmospheric intraseasonal oscillations (ISOs) on the Indian Ocean zonal dipole mode (IOZDM) are investigated by analyzing available observations and a suite of solutions to an ocean general circulation model, namely, the Hybrid Coordinate Ocean Model (HYCOM). Data and model solutions for the period 1991–2000 are analyzed, a period that includes two strong IOZDM events, during 1994 and 1997, and a weak one, in 1991. Both the data analysis and model results suggest that atmospheric ISOs play a significant role in causing irregularity of the two strong IOZDM events and the premature termination of the weak one. Of particular interest is a basinwide, wind-driven oceanic resonance with a period near 90 days, involving the propagation of equatorial Kelvin and first-meridional-mode Rossby waves across the basin. Before the onset of the strong 1997 dipole, wind variability had significant power near 90 days, and the resonance was strongly excited. Associated with the resonance was a deepened t.
Generating Concise Discourse that Addresses a Users Inferences

In this paper, we describe a content planning mechanism which takes into consideration a user's possible inferences in order to generate the most concise discourse that achieves a given communicative goal. The consideration of a user's inferences results in the addition of information that addresses erroneous inferences , and the omission of easily inferred information. Given a communicative goal, our mechanism applies inference rules in backward reasoning mode to plan rhetorical devices that achieve this goal, and subsequently in forward reasoning mode to conjecture the eeect of these rhetorical devices on the user's beliefs. This process results in one or more sets of rhetorical devices which achieve the intended communicative goal. Each set is then minimized, and the most concise among these sets is selected. These ideas have been implemented in a system called WISHFUL, which generates explanations about concepts.
Preclinical studies of N3-O-toluyl-fluorouracil-loaded lipid-based nanosuspensions in H22-bearing mice

Purpose N3-O-toluyl-fluorouracil (TFU) is a potential antitumor prodrug of 5-fluorouracil (5-FU), but its poor solubility has limited its use in clinic. This study aimed to improve the bioavailability of TFU by preparing TFU-loaded lipid-based nanosuspensions (TFU-LNS) and perform a preclinical evaluation. Methods TFU-LNS were prepared through high-pressure homogenization and were lyophilized afterwards. For in vitro test, the physicochemical properties and cytotoxicity against HegG2 cells were conducted. For in vivo evaluation, the pharmacokinetics, tissue distribution, and antitumor efficacy were investigated in H22-bearing Kunming mice. Results TFU showed different degradability in four media; in particular, nearly all of it converted to an equimolar amount of 5-FU in blank plasma of Wistar rats. The lyophilized TFU-LNS had a mean particle size of 180.03±3.11 nm and zeta potential of −8.02±1.43 mV and showed no discernible changes after storage at 4°C for 3 months. In the in vivo antitumor study, the antitumor efficacy of TFU-LNS was consistent with that of 5-FU injection. Furthermore, TFU-LNS released a lower concentration of 5-FU in heart and kidney throughout the tissue distribution studies. Conclusion TFU-LNS exhibited convincing antitumor activity and easy scale-up opportunity, which suggests that TFU-LNS might be a promising drug delivery system for cancer therapy.
Efficient Time-Based Topology-Dependent Scheduling for Radio Packet Networks

In Radio Packet Network (RPN), unconstrained transmission may lead to collision of two or more packets. Time Division Multiple Access (TDMA) protocol is a common used protocol to schedule collision-free transmission for such networks. TDMA transmission allows a number of users to access a single radio channel without interference by allocating unique time slots to each user. In TDMA network, time is divided into frames and a frame consists of time slots. For fully connected networks where each node is a neighbor for all the other nodes, each node should assign a different time slot in TDMA frame to transmit in it to have collision-free transmission. Typically, those time slots are ended by guard times for propagation delays. Those guard times are fixed for all time slots regardless the actual needed propagation delays. In this paper, we propose a topology-dependent algorithm that automatically schedules collision-free channel access and specify the time instant when a node is to send a packet. We use variable guard times, instead of the fixed ones, calculated using the actual needed propagation delays between sources and destinations. We show that with such scheduling algorithm, a 90% saving in the original guard times is achieved.
Pharmacokinetic studies of the recombinant chicken interferon-α in broiler chickens

In this study, 24 male and female broiler chickens at 30-day-old were divided into three groups with 8 animals in each group. The animals were administered with recombinant chicken interferon-α (rChIFN-α) at a dose of 1.0 × 106 IU/kg intravenously, intramuscularly or subcutaneously, respectively. Serum samples were collected at different time points post administration, and the titers of rChIFN-α in the blood were determined by cytopathic effect inhibition assay. The results showed that the pharmacokinetic characteristics of rChIFN-α by intramuscular injection and subcutaneous injection were fitted to one compartment open model, and the Tmax was 3.21 ± 0.79 hr and 3.95 ± 0.85 hr, respectively, and the elimination half-life (T1/2) was 6.20 ± 2.77 hr and 5.03 ± 3.70 hr, respectively. In contrast, the pharmacokinetics of rChIFN-α via intravenous injection was in line with the open model of two-compartment and was eliminated in the first order, and the elimination half-life (T1/2) was 4.61 ± 0.84 hr. In addition, compared with those in the intravenous group and the subcutaneous group, the bioavailability of rChIFN-α in the intramuscular group was 82.80%. In conclusion, rChIFN-α was rapidly absorbed and slowly eliminated after intramuscular administration of single dose of rChIFN-α aqueous formulations. Thus, rChIFN-α can be used as a commonly-used therapeutic agent.
Health Education: Effectiveness And Efficiency

1 The meaning of success. - 2 Research design in evaluation: choices and issues. - 3 Indicators of success and measures of performance: the importance of theory. - 4 School health education. - 5 Health care contexts. - 6 The mass media in health promotion. - 7 Health promotion in the workplace. - 8 Community organization and strategic integration: promoting community health.
Near field scans of tyre mounted dipoles using a separate phase reference antenna

This paper reports on near field measurements of dipole antennas mounted inside a wheel for advanced tyre monitoring applications based on UHF RFID technology. We propose, implement and validate a near field measurement technique which avoids the need for any error prone feed cable. This technique is then used for measuring the patterns of two different dipole antennas attached to the inner surface of a tyre in four mounting configurations. Finally, the measured antenna patterns are discussed, as well as their implications for the channel characteristics when these dipoles are used.
A hybrid control design for QoS management

In this paper, we present an approach for QoS management that can be applied to a general class of real-time distributed computation systems. In the proposed approach, a switching hybrid system model is used to represent the system. In this setting, the QoS specifications are transformed into set-point specifications and a limited-horizon online supervisory controller is used to move the system to the optimal operation point.
Implementation of an opportunistic spectrum access system with disruption QoS provisioning and PU traffic parameter estimation

Opportunistic Spectrum Access (OSA) is one of the models proposed in the literature for Dynamic Spectrum Access (DSA). Providing disruption QoS in terms of interference caused to the Primary Users (PUs) is crucial in such systems. In this paper, we use a residual idle time based scheme called RIBS, to provide disruption QoS to the PUs. The transmission duration of a Secondary User (SU) is carefully computed such that the interference to the PU remains below a threshold. We propose two disruption Quality of Service (QoS) metrics and show the computation of maximum transmission duration for the two metrics. We have implemented RIBS with these two new disruption QoS metrics using GNU Radio over Universal Software Radio Peripheral (USRP) hardware. We also use maximum likelihood estimation (MLE) to dynamically estimate the parameter of PU traffic, which is then used to compute SU transmission duration. This eliminates the requirement, widely assumed in the literature, that SUs know the PU traffic characteristics a priori. Results from our experiments show that RIBS is able to provide the required QoS and that the MLE based parameter estimation method works reasonably well.
Musical key extraction from audio

The realisation and evaluation of a musical key extraction algorithm that works directly on raw audio data is presented. Its implementation is based on models of human auditory perception and music cognition. It is straightforward and has minimal computing requirements. First, it computes a chromagram from non-overlapping 100 msecs time frames of audio; a chromagram represents the likelihood of the chroma occurrences in the audio. This chromagram is correlated with Krumhansl’s key profiles that represent the perceived stability of each chroma within the context of a particular musical key. The key profile that has maximum correlation with the computed chromagram is taken as the most likely key. An evaluation with 237 CD recordings of classical piano sonatas indicated a classification accuracy of 75.1%. By considering the exact, relative, dominant, sub-dominant and parallel keys as similar keys, the accuracy is even 94.1%.
Looking beyond green cellular networks

This paper introduces a new network architecture for green cellular networks. The basic concept is to separate signaling and data in the wireless access network. Transmitting the signaling information separately maintains coverage even when the whole data network is adapted to the current load situation. Such network-wide adaptation can power-down base stations when no data transmission is needed and, thus, promises a tremendous increase in energy efficiency. On top of that, the signaling network keeps users connected while consuming only a fraction of the overall energy