Miracle-dz/UniFAR-FTUs huggingface dataset:
Community discovery using social links and author-based sentiment topics

Social networking services are attracting increasing interest in the domain of community discovery. In social networks, the interactions among users are very frequent by sending emails, posting tweets, and sharing comments online, etc. Such networks usually include rich sentiment information, which can provide us with useful resources for identifying communities with different sentiment-topic distributions. Most conventional community discovery methods only consider the social links among users, which ignore the valuable content information. Recent studies have focused on community detection by integrating both links and content. However, most of these methods are not available for identifying sentiment-topic based communities. In this paper, we propose two novel community discovery models by combining social links, author based topics and sentiment information to identify communities with different sentiment-topic distributions. We evaluate our models on two real-world datasets, and the experimental results demonstrate the effectiveness of our proposed models.
Using AR HMM state-dependent filtering for speech enhancement

In this paper we address the problem of enhancing speech which has been degraded by additive noise. As proposed by Ephraim et al. (1989), autoregressive hidden Markov models (AR-HMM) for the clean speech and an autoregressive Gaussian for the noise are used. The filter applied to a given frame of noisy speech is estimated using the noise model and the autoregressive Gaussian having the highest a posteriori probability given the decoded state sequence. The success of this technique is highly dependent on accurate estimation of the best state sequence. A new strategy combining the use of cepstral-based HMMs, autoregressive HMMs, and a model combination technique, is proposed. The intelligibility of the enhanced speech is indirectly assessed via speech recognition, by comparing performance on noisy speech with compensated models to performance on the enhanced speech with clean-speech models. The results on enhanced speech are as good as our best results obtained with noise compensated models.
The de novo design of a rubredoxin‐like fe site

A redox center similar to that of rubredoxin was designed into the 56 amino acid immunoglobulin binding B1 domain of Streptococcals protein G. The redox center in rubredoxin contains an iron ion tetrahedrally coordinated by four cysteine residues, [Fe(S‐Cys)4]−1,‐2. The design criteria for the target site included taking backbone movements into account, tetrahedral metal‐binding, and maintaining the structure and stability of the wild‐type protein. The optical absorption spectrum of the Co(II) complex of the metal‐binding variant is characteristic of tetrahedral chelation by four cysteine residues. Circular dichroism and nuclear magnetic resonance measurements reveal that the metal‐free and Cd(II)‐bound forms of the variant are folded correctly and are stable. The Fe(III) complex of the metal‐binding mutant reproduces the optical and the electron paramagnetic resonance spectra of oxidized rubredoxin. This demonstrates that the engineered protein chelates Fe(III) in a tetrahedral array, and the resulting center is similar to that of oxidized rubredoxin.
Marine Oil Supplements for Arthritis Pain: A Systematic Review and Meta-Analysis of Randomized Trials

Arthritis patients often take fish oil supplements to alleviate symptoms, but limited evidence exists regarding their efficacy. The objective was to evaluate whether marine oil supplements reduce pain and/or improve other clinical outcomes in patients with arthritis. Six databases were searched systematically (24 February 2015). We included randomized trials of oral supplements of all marine oils compared with a control in arthritis patients. The internal validity was assessed using the Cochrane Risk of Bias tool and heterogeneity was explored using restricted maximum of likelihood (REML)-based meta-regression analysis. Grading of Recommendations Assessment, Development and Evaluation (GRADE) was used to rate the overall quality of the evidence. Forty-two trials were included; 30 trials reported complete data on pain. The standardized mean difference (SMD) suggested a favorable effect (−0.24; 95% confidence interval, CI, −0.42 to −0.07; heterogeneity, I2 = 63%. A significant effect was found in patients with rheumatoid arthritis (22 trials; −0.21; 95% CI, −0.42 to −0.004) and other or mixed diagnoses (3 trials; −0.63; 95% CI, −1.20 to −0.06), but not in osteoarthritis patients (5 trials; −0.17; 95% CI, −0.57–0.24). The evidence for using marine oil to alleviate pain in arthritis patients was overall of low quality, but of moderate quality in rheumatoid arthritis patients.
Performance Evaluation of Deadline Aware Multi-stage Scheduling in Cloud Computing

Cloud Computing provides the computing environment where different resources, infrastructures, development platforms and software are delivered as a service to customers virtually on pay-as-use basis. In cloud computing a job request may requires m number of resources types to complete its tasks. Scheduling of cloud resources for end users is an important task in cloud computing. In this paper we have proposed Multi Stage scheduling in cloud computing to schedule Virtual Machines (VM) for the requested jobs received from customers. We considered the model that a job requires 'm' different types of VM's in a sequence to complete its task. This model also extended for deadline aware Multi Stage scheduling with respect to response time and waiting time. We developed and analyzed a model for evaluation of average turnaround time, average waiting time and violation in deadlines when compared with First Come First Serve (FCFS), Shortest Job First (SJF) and Multi Stage Scheduling strategies.
Relation of Verbal Memory Dysfunction with Type and Severity of Psychiatric Symptoms in Schizophrenic Patients

Background: Cognitive dysfunction, especially memory impairment is common in schizophrenia. Objectives: According to impact of memory problems on everyday life of schizophrenic patients, this research intended to assess the relationship between memory and behavioral signs of these patients for better therapeutic decision. Methods: Inthiscrosssectionalstudy,seventyoneschizophrenicpatientsadmittedatRazipsychiatrichospital(Tehran,Iran)from July to December 2015, were included. Verbal memory was analyzed by Persian translated Wechsler memory subtests (WMS-III) of paired associates, recognition and numerical memory. Positive and negative symptoms scale (PANSS) for schizophrenia is used for evaluation of psychiatric symptoms. Data were analyzed with a statistical software program (SPSS 20). Results: Word association memory has a signiﬁcant correlation with negative signs, positive signs, excitement, anxiety and depression (P < 0.05). Also, numerical memory has an inverse correlation with disease duration. Regarding to sex diﬀerences, word association memory has a signiﬁcant correlation with positive signs, anxiety and depression in male patients but in women, only excitement showed positive correlation with word matching memory (P < 0.05). Conclusions: There is signiﬁcant relation between verbal memory dysfunction and type and severity of psychological symptoms of schizophrenia patients. So, routine evaluation and treatment of these cognitive impairments should be considered as a part of comprehensive schizophrenia therapeutic approach.
Electrogenesis in the lower Metazoa and implications for neuronal integration

Electrogenic communication appears to have evolved independently in a variety of animal and plant lineages. Considered here are metazoan cells as disparate as the loose three-dimensional parenchyma of glass sponges, the two-dimensional epithelial sheets of hydrozoan jellyfish and the egg cell membranes of the ctenophore Beroe ovata, all of which are capable of generating electrical impulses. Neuronal electrogenesis may have evolved independently in ctenophores and cnidarians but the dearth of electrophysiological data relating to ctenophore nerves means that our attention is focused on the Cnidaria, whose nervous systems have been the subject of extensive study. The aim here is to show how their active and passive neuronal properties interact to give integrated behaviour. Neuronal electrogenesis, goes beyond simply relaying ‘states of excitement’ and utilizes the equivalent of a set of basic electrical ‘apps’ to integrate incoming sensory information with internally generated pacemaker activity. A small number of membrane-based processes make up these analogue applications. Passive components include the decremental spread of current determined by cellular anatomy; active components include ion channels specified by their selectivity and voltage dependence. A recurring theme is the role of inactivating potassium channels in regulating performance. Although different aspects of cnidarian behaviour are controlled by separate neuronal systems, integrated responses and coordinated movements depend on interactions between them. Integrative interactions discussed here include those between feeding and swimming, between tentacle contraction and swimming and between slow and fast swimming in the hydrozoan jellyfish Aglantha digitale.
Divisive inhibition in recurrent networks

Models of visual cortex suggest that response selectivity can arise from recurrent networks operating at high gain. However, such networks have a number of problematic features: (i) they operate perilously close to a point of instability, (ii) small changes in synaptic strength can dramatically modify the degree of amplification, and (iii) they respond slowly to rapidly changing stimuli. Divisive inhibition, acting through interneurons that are themselves divisively inhibited, can solve these problems without degrading the selectivity of a recurrent network.
Data structures for on-line updating of minimum spanning trees

Data structures are presented for the problem of maintaining a minimum spanning tree on-line under the operation of updating the cost of some edge in the graph. For the case of a general graph, maintaining the data structure and updating the tree are shown to take O((@@@@)m) time, where m is the number of edges in the graph. For the case of a planar graph, a data structure is presented which supports an update time of O ((log m)2).
How well can simple metrics represent the performance of HPC applications?

A systematic study of the effects of complexity of prediction methodology on its accuracy for a set of real applications on a variety of HPC systems is performed. Results indicate that the use of any single, simple synthetic metric to predict performance does an inadequate job, and the use of a linear combination of these simple metrics with optimized weights also performs poorly. Better, however, are methodologies that rely on the convolution of an application "transfer function" based on tracing information with system performance data measured by simple benchmarks. This latter methodology can predict performance with an average accuracy of 80%, based on the current work.
A survey of breast cancer detection based on image segmentation techniques

In the present scenario digital image processing occupies a dynamic role in every area of human survival. Image processing refers to progress the digital images and mine attributes from images. Processing a digital image will be a challenging task. Image processing technology has been well occupied in medical technology but the crucial risk is that mortality is raised owed to cancer. Breast cancer has turn out to be the most important causes of death in women. Image segmentation describes an image could be divided into regions based on some similar attributes like color, intensity or texture. In the midst of the budding analysis on image segmentation, provide an outline of segmentation techniques and scrutinize the result in each category. In this review, we are presenting some survey and review of image segmentation techniques.
Biochemical and molecular characterization of novel PAH-degrading bacteria isolated from polluted soil and sludge

Abstract Polycyclic aromatic hydrocarbons (PAHs) containing more than three rings are mainly less biodegradable. Therefore, the isolation of PAHs-degrading bacteria is of great importance to be augmented for bioremediation of polluted sites with PAHs. PAHs-degrading bacteria were isolated from contaminated sites of an oil refinery. The strains were confirmed by biochemical tests and 16S rRNA, which were Stenotrophomonas maltophilia (two strains), Thermomonas koreensis (three strains), Achromobacter (two strains), Pseudomonas stutzeri (one strain), Azospirillum brasilense (one strain) and Brevibacillus brevis (one strain). The isolate strains can be applied as a bacterial consortium for purification of polluted soil with high levels of PAHs.
Impact of Diverse Immune Evasion Mechanisms of Cancer Cells on T Cells Engaged by EpCAM/CD3-Bispecific Antibody Construct AMG 110

Background Bispecific T cell engager (BiTE®) are single-chain bispecific antibody constructs with dual specificity for CD3 on T cells and a surface antigen on target cells. They can elicit a polyclonal cytotoxic T cell response that is not restricted by T cell receptor (TCR) specificity, and surface expression of MHC class I/peptide antigen complexes. Using human EpCAM/CD3-bispecific BiTE® antibody construct AMG 110, we here assessed to what extent surface expression of PD-L1, cytoplasmic expression of indoleamine-2,3-deoxygenase type 1, Bcl-2 and serpin PI-9, and the presence of transforming growth factor beta (TGF-β), interleukin-10 (IL-10) and adenosine in culture medium can impact redirected lysis by AMG 110-engaged T cells. Methods The seven factors, which are all involved in inhibiting T cell functions by cancer cells, were tested with human EpCAM-expressing Chinese hamster ovary (CHO) target cells at levels that in most cases exceeded those observed in a number of human cancer cell lines. Co-culture experiments were used to determine the impact of the evasion mechanisms on EC50 values and amplitude of redirected lysis by AMG 110, and on BiTE®-induced proliferation of previously resting human peripheral T cells. Findings An inhibitory effect on redirected lysis by AMG 110-engaged T cells was seen upon overexpression of serpin PI-9, Bcl-2, TGF-βand PD-L1. An inhibitory effect on induction of T cell proliferation was only seen with CHO cells overexpressing IDO. In no case, a single evasion mechanism rendered target cells completely resistant to BiTE®-induced lysis, and even various combinations could not. Conclusions Our data suggest that diverse mechanisms employed by cancer cells to fend off T cells cannot inactivate AMG 110-engaged T cells, and that inhibitory effects observed in vitro may be overcome by increased concentrations of the BiTE® antibody construct.
Detection of cognitive features from web resources in support of cultural modeling and analysis

The World Wide Web serves as a valuable source of culture-relevant information, which can be used to support cultural modeling and analysis activities. Part of the challenge in exploiting the Web as a source of culture-relevant information relates to the need to detect and extract information about beliefs, attitudes, and values from a variety of different resources. The Web, thus, features a rich variety of information resources, and these are seldom categorized with respect to the dimensions in which cultural analysts are interested. Exploiting the Web as a source of culture-relevant information therefore requires techniques and approaches that enable cultural analysts to extract relevant information and organize extracted content in various ways. In this paper, we outline an approach to assist cultural analysts in the extraction and organization of relevant information. We show techniques that can be used to extract information of the attitudes, beliefs, and values of individuals, and how this data can, in turn, be used to support cultural modeling and analysis.
Detailed Mass Map of CL 0024+1654 from Strong Lensing

We construct a high-resolution mass map of the z=0.39 cluster 0024+1654, based on a parametric inversion of the associated gravitational lens. The lens creates eight well-resolved subimages of a background galaxy, seen in deep imaging with the Hubble Space Telescope. Excluding mass concentrations centered on visible galaxies, more than 98% of the remaining mass is represented by a smooth concentration of dark matter centered near the brightest cluster galaxies, with a 35 h-1 kpc soft core. The asymmetry in the mass distribution is less than 3% inside 107 h-1 kpc radius. The dark matter distribution we observe in CL 0024 is far more smooth, symmetric, and nonsingular than in typical simulated clusters in either Ω=1 or Ω=0.3 cold dark matter cosmologies. Integrated to a 107 h-1 kpc radius, the rest-frame mass-to-light ratio is M/LV=276±40 h (M/LV)☉.
Safe robot control in the intelligent space using mobile code technology

This paper describes how the safe mobile code technology can be integrated into the Intelligent Space environment. In the Intelligent Space, several Distributed Intelligent Network Devices communicate and share their information about a human environment. In this environment mobile robots can be controlled with mobile code technology. The mobile code is a program-component obtained from a remote system, transferred across a network and dynamically downloaded and executed on the robots. This code is created, verified, stored and transmitted to the robot using the CPPCC architecture, where properties and their proofs also attached to the code. The receiver can verify the proofs and it can decide whether to use or to refuse the received mobile component. Information about the robot's environment is also sent to the robot from the Intelligent Space. Robots contain explicit and formally expressed security requirements. Explicit and formal properties of the mobile code are attached to the mobile code. Then a formal verification system can verify the mobile code properties correspondence against the robots requirements. The robot refuses to execute those mobile code tasks violating it's requirements.
The dissection course - a psychological burden or an opportunity to teach core medical competencies: A narrative review of the literature

Historically, dissecting a human body has been a major component of learning anatomy. During recent decades, constraints on financial and human resources have led to profound and universal reductions in classroom instruction. The emergence of other innovative teaching methods, coupled with the chance to avoid disadvantages such as the risk of infection or unnecessary emotional stress, supported this trend. To counter this last argument in particular, this review describes national and international strategies for helping students cope while learning effectively in the dissection course, with the aim of protecting students from unnecessary emotional stress. Some of the strategies presented impart medical competencies previously part of the “hidden curriculum” but now explicit components of the new National Competency-based Catalogue of Learning Objectives in Medicine, Germany.
Modelling of the highest level of children’s education in the family using Multilevel Ordinal Logistic Regression Analysis

Multilevel ordinal logistic regression analysis is a type of regression that modelling data with hierarchical structure and has an ordinal response variable. The Indonesian Family Life Survey (IFLS) produced data with hierarchical structure from individuals nested within sub-district. This research had three goals: first, to select the best model of the highest level of children’s education in the family; second, to explain factors that affecting the highest level of children’s education; third, to describe the characteristics of the highest level of children’s education categories. The result showed that the best model was the random intercept model. The estimation variance of between sub-districts was 0.2314. The explanatory variables that have significant effects in the model were mother's education, number of household members, and number of household members who graduated from senior high school and status of residence. People who had high probability to go to university were coming from family, which the mother had at least senior high school background, most of family member graduated from senior high school, and they lived in Bogor city. In the other hand, people who had high probability to had only elementary school were coming from family which the mother had elementary school background, no members of family who graduated from senior high school, and they lived in Bogor Regency.
Migratory birds-inspired navigation system for unmanned aerial vehicles

Migration birds are able to navigate themselves during a long-distance journey without getting lost. They actually achieve just what is being sought for in the field of Unmanned Aerial Vehicles (UAVs): long-term autonomous navigation. This paper proposes an approach that combines the migration birds' sense principles with Micro-Electro-Mechanical System (MEMS) sensors to estimate UAVs position within GPS-denied environments. Camera, orientation and web-based maps (such as Google/Baidu Maps) are chosen to simulate the birds' localization cues: vision, earth magnetic field and mental maps. The visual odometry, Particle Filter theories are used in the proposed approach to integrate multiple sensor measurements. Real flying experiments are conducted both in indoor and outdoor environments. The results validate that the proposed migration-inspired visual odometry system can estimate the UAV localization effectively.
Traces as an Approach to Design for Focal Things and Practices

This paper presents a novel way of using traces---not as indicators of skillfulness, aging, or evidence of interactions with technological tangible objects. Instead we propose traces as a design approach to reframe technologies in their socio-ecological context: where people, practices, and materials maintain a constant dialogue with one another. Contemporary technologies tend to disengage people from this context and the task the technology performs. This predicament has been referred to as "the device paradigm;" the resolution to which is in illuminating the technology's context by shaping them as "focal things and practices" (FT&P). This paper theorizes how design can frame technologies as FT&P. It takes the position that all three elements of the socio-ecological context (people, practices, and materials) can be linked together with traces. A design exploration, and the resulting research artifacts, theorize the argumentation of this paper and how traces can be used to support technologies as FT&P.