Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalable Image Retrieval with Multimodal Fusion

As the number of images grows rapidly on the Internet, the scalability of image retrieval systems becomes a signiﬁcant issue. In this paper, we propose two distributed clustering al- gorithms to scale up the bag-of-visual-words model on millions of images and billions of visual features by leveraging distributed systems. We also introduce a multimodal fusion model to utilize textual data to improve the quality of image retrieval. Our experiments on multimodal datasets demon-strated our fusion approach can achieve high retrieval quality compared to image-only retrieval and text-only retrieval.
Electrical Stimulation Promotes Motoneuron Regeneration without Increasing Its Speed or Conditioning the Neuron

Motoneurons reinnervate the distal stump at variable rates after peripheral nerve transection and suture. In the rat femoral nerve model, reinnervation is already substantial 3 weeks after repair, but is not completed for an additional 7 weeks. However, this “staggered regeneration” can be temporally compressed by application of 20 Hz electrical stimulation to the nerve for 1 hr. The present experiments explore two possible mechanisms for this stimulation effect: (1) synchronization of distal stump reinnervation and (2) enhancement of regeneration speed. The first possibility was investigated by labeling all motoneurons that have crossed the repair at intervals from 4 d to 4 weeks after rat femoral nerve transection and suture. Although many axons did not cross until 3–4 weeks after routine repair, stimulation significantly increased the number crossing at 4 and 7 d, with only a few crossing after 2 weeks. Regeneration speed was studied by radioisotope labeling of transported proteins and by anterograde labeling of regenerating axons, and was not altered by stimulation. Attempts to condition the neuron by stimulating the femoral nerve 1 week before injury were also without effect. Electrical stimulation thus promotes the onset of motor axon regeneration without increasing its speed. This finding suggests a combined approach to improving the outcome of nerve repair, beginning with stimulation to recruit all motoneurons across the repair, followed by other treatments to speed and prolong axonal elongation.
INSPECT: a dynamic visual query system for geospatial information exploration

This paper presents a visual information exploration tool called INSPECT. INSPECT provides geospatial information analysts with an effective way to visually filter multidimensional data and explore the underlying information contained within it. In geospatial intelligence information analyses, it is necessary to query, visualize and understand the data combined with location information. These operations are not simple since they include complex database queries of both spatial and non-spatial data. Moreover, analysts need to repeatedly query and visualize data until they reach a desirable conclusion. Using INSPECT, analysts are able to experimentally query the database avoiding complex database schema and visualize the results in geospatial context with minimal effort. The tools available with INSPECT include see-through lens visualization, relationship visualization, time varying analysis, saved lens-filter sessions, a data reachback capability, and iterative visual exploration.
Physicochemical characterization of chia (Salvia hispanica) seed oil from Yucatán, México

A physicochemical characterization of oil from chia seeds was carried out. Proximate composition analysis showed that fat and fiber were the principal components in the raw chia flour. Physical characterization showed that chia oil has a relative density from 0.9241, a refraction index of 1.4761 and a color with more yellow than red units. Chemical characterization showed that chia oil registered an acidity index of 2.053 mg KOH/g oil, a saponification index of 222.66 mg KOH/g oil, a content of unsaponifiable matter of 0.087%, an Iodine index of 193.45 g I/100 g oil and a peroxide index of 17.5 meq O2/kg oil. Chia oil showed a higher content of α and β linolenic and palmitic acids. Chia oil is the vegetable source with the highest content of essential fatty acids.
Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks

Precise item categorization is a key issue in e-commerce domains. However, it still remains a challenging problem due to data size, category skewness, and noisy metadata. Here, we demonstrate a successful report on a deep learning-based item categorization method, i.e., deep categorization network (DeepCN), in an e-commerce website. DeepCN is an end-to-end model using multiple recurrent neural networks (RNNs) dedicated to metadata attributes for generating features from text metadata and fully connected layers for classifying item categories from the generated features. The categorization errors are propagated back through the fully connected layers to the RNNs for weight update in the learning process. This deep learning-based approach allows diverse attributes to be integrated into a common representation, thus overcoming sparsity and scalability problems. We evaluate DeepCN on large-scale real-world data including more than 94 million items with approximately 4,100 leaf categories from a Korean e-commerce website. Experiment results show our method improves the categorization accuracy compared to the model using single RNN as well as a standard classification model using unigram-based bag-of-words. Furthermore, we investigate how much the model parameters and the used attributes influence categorization performances.
Modeling and Simulation of Dual-Mode DC/DC Buck Converter

A dual-mode DC/DC buck converter is presented in this paper. The converter operation includes the soft start, sawtooth oscillator, zero-current detector and PWM/PFM detector. According to the judgment of zero-current detector and PWM/PFM detector, the converter can switch automatically between pulse width modulation (PWM) mode and pulse frequency modulation (PFM) mode. Because of this, the proposed converter model has the ability to adapt to various loading conditions and therefore achieve high efficiency over a wide load-current range which is critical for extended battery life[1]. The converter is modeled and simulated by Simulink. Experimental results show the maximum conversion efficiency is 93¿ at 140mA load current. Within all load current range from 10mA to 500mA, the converter efficiency is over 85¿.
Various Techniques Used For Prioritization of Test Cases

The Software testing phase of the development life cycle model of software plays a very important role in deciding the quality and functionality of the software. The Testing of the software is done to detect the fault in its functionality and on the basis of its performance further quality of software is improved. In the software testing phase there is a task involved which is prioritization of Test cases. In this paper we have discussed about test case prioritization, what is the need of test cases prioritization? And the various techniques proposed by researchers for performing the test case prioritization.
Blindness and Social Media in India

In the present world, social networking sites offer a great platform to communicate, collaborate and socialize – personally and professionally with the world around us. According to WHO report, blind people are a significant group comprising 45 million totally blind and 285 million partially blind. This paper reviewing studies on the non (use) of social media by blind people in and out India. It examines the impediments, achievements and expectations of blind people with regard to social network sites based on past research work.
Urotensin II levels in patients with chronic kidney disease and kidney transplants

Abstract Objective. Urotensin II is a potent vasoactive peptide that has been implicated in the pathophysiology of many diseases. There is no study reporting the role and level of this peptide in recipients of kidney transplant. So we aimed to study the plasma levels of urotensin II in this group of patients. Methods. Plasma urotensin II levels were analyzed in 110 subjects, who were divided into three groups: group 1 (35 kidney transplant recipients), group 2 (36 patients with chronic kidney disease), and group 3 (39 healthy controls). Results. Analysis of logarithmic transformation of urotensin II, i.e. log (urotensin II × 1000) levels, with a one-way analysis of variance yielded a P value of 0.001. Post-hoc analysis showed significantly higher log (urotensin II × 1000) levels in group 1 than groups 2 and 3 (P = 0.001 and 0.017, respectively). One of the important features of the subjects of this group was that they were taking immunosuppressive drugs because of renal transplantation. Conclusions. High urotensin II levels in recipients of kidney transplants could be drug-related (immunosuppressive drugs) and may be of practical importance that may be used to improve the long-term outcome of the patients.
Transformation of the Nitrogen Cycle: Recent Trends, Questions, and Potential Solutions

Humans continue to transform the global nitrogen cycle at a record pace, reflecting an increased combustion of fossil fuels, growing demand for nitrogen in agriculture and industry, and pervasive inefficiencies in its use. Much anthropogenic nitrogen is lost to air, water, and land to cause a cascade of environmental and human health problems. Simultaneously, food production in some parts of the world is nitrogen-deficient, highlighting inequities in the distribution of nitrogen-containing fertilizers. Optimizing the need for a key human resource while minimizing its negative consequences requires an integrated interdisciplinary approach and the development of strategies to decrease nitrogen-containing waste.
Extraction of Unstructured Data Records and Discovering New Attributes from the Web Documents

—Information extraction is nothing but taking out the structured information from online databases automatically. The major intent of the information extraction process is to extract accurate and correct text portion of documents. Web includes a numerous list of objects like conference programs and comment lists in blogs. From the web, extraction of list of objects is done by utilizing record extraction which discovers a set of Web page segments. To take out data records, a new method called Tag path Clustering is suggested. This method captures a list of objects in a more vigorous way based on a holistic analysis of a Web page. The main focus of this method is how a dissimilar tag path appears continually in the document. A pair of tag path occurrence patterns called visual signals is compared to compute how likely these two tag paths signify the same list of objects. After that, by using a similarity measure which captures how intimately the tag paths emerge and intersperse . Based on the similarity measure clustering of tag paths are employed to extract sets of tag paths that form the structure of the data records. A Bayesian learning framework is proposed to find new data attributes for adapting the information extraction, knowledge formerly learned from a source Web site to a new unseen site and also finding earlier unseen attributes. Expectation maximization improved Bayesian learning techniques are utilized for finding new training data for learning the new wrapper for new unseen sites. This method effectually extracts attributes from the new unseen Web site. Experimental results show that this framework achieves a very promising performance.
An interactive data visualization system for flood warnings in Taiwan

This paper reports on the development of an Interactive Data Visualization System (IDVS) for flood warnings. Information from multiple sources, such as precipitation, geographical conditions, and the alert threshold, is collected in the system. Users of the system are able to manipulate the information to enhance their understanding of the flood potential. This can help them make timely and correct decisions. We develop four interactive functions: (1) Datatip, (2) Dashboard, (3) Data brushing, and (4) Dynamic queries. A Datatip displays all related data of a particular point or an area when the mouse hovers over. A Dashboard comprises multiple views, allowing users to manipulate and compare the information. The Data brushing function highlights the selected dataset in other views when users choose specific information in which they would like to gain deeper insight. The Dynamic query function provides a scroll bar for users to explore information by dragging the slider. By integrating the four functions, the system provides users with dynamic exploration and intuitive operation. We use data collected from a flood occurring in Taiwan on 10th June 2012 to validate our system. The results show that the IDVS can effectively help integrate decision-making information in real time. The interaction between related information provides users with insightful and versatile views, which can enhance decision-making.
New iterative ray-traced collision detection algorithm for GPU architectures

We present IRTCD, a novel Iterative Ray-Traced Collision Detection algorithm that exploits spatial and temporal coherency. Our approach uses any existing standard ray-tracing algorithm and we propose an iterative algorithm that updates the previous time step results at a lower cost with some approximations. Applied for rigid bodies, our iterative algorithm accelerate the collision detection by a speedup up to 33 times compared to non-iterative algorithms on GPU.
Inhibition dominates the early phase of up-states in the basolateral 5 amygdala 6 7

1 2 3 4 Inhibition dominates the early phase of up-states in the basolateral 5 amygdala 6 7 Francois Windels*, James W. Crane and Pankaj Sah 8 9 Queensland Brain Institute, The University of Queensland, Australia. School of 10 Biomedical Sciences, Charles Sturt University, NSW Australia 11 12 13 14 15 16 Running title: Early strong inhibition in the up-state 17 *equal first authors 18 19 20 21 Correspondence to: 22 Pankaj Sah 23 Queensland Brain Institute 24 The University of Queensland 25 Brisbane, QLD 4072 26 Phone: + 61 7 334 66376 27 Fax: + 61 7 3346 6301 28 e-mail: pankaj.sah@uq.edu. au 29 30 31 Articles in PresS. J Neurophysiol (October 20, 2010). doi:10.1152/jn.00531. 2010
Optimum Steelmaking Charge Plan with Unknown Charge Number Based on the Pseudo TSP Model

This paper presents a mathematical charge plan model of steelmaking-continuous casting (SCC) scheduling in the computer integrated manufacturing systems environment. Based on the analysis of the difficulty to solve the scheduling problem, a pseudo travel salesman problem model is presented to describe the scheduling model. By using this method, we can solve the optimum charge problem even without known the charge number, while other methods must know the charge number previously. To solve the problem, an improved particle swarm optimization with variant moving direction of the particle in every dimension is presented. The effect of the mutation rate is also discussed. Simulations have been carried and the results show that the pseudo travel salesman problem is very fit for describe the model. The computation with practical data shows that the model and the solving method are very effective
Comparative Performance Investigation of TCP and SCTP Protocols over LTE/LTE-Advanced Systems

—F ourth Generation (4G) of mobile systems is now replacing the 3G and 2G families of standards.Long Term Evolution (LTE) and LTE-Advanced network is the continuation of 3GPP-LTE (3GPP: 3rd Generation Partnership Project) and achieved the next step towards high data rate transfers and support of all multimedia functions and requiremensts. One of the main solutions to improve the performance of the new wireless communication systems is by improving the protocols used over these networks such as Transmission Control Protocol (TCP) and Stream Control Transmission Protocol (SCTP). This paper investigates the comparative performance of TCP and SCTP protocols over LTE and LTE-Advanced systems.
Dialogue Act Recognition for Text-based Sinhala

This paper discusses the application of classical machine learning approaches to the task of Dialogue Act Recognition for text-based Sinhala. A study was carried out to identify a dialogue act tag set for Sinhala. A new corpus using Sinhala sub-titles for English movies was created and was annotated with the selected dialogue acts. Evaluation of the dialogue act recognition system was performed using features that were used for English language, plus the newly identified features for Sinhala. Although Sinhala is an un-der-resourced language without even the basic tools such as a PoS tagger, we managed to achieve good classification accuracy by exploiting Sinhala specific features. As far as we are aware, this is the first research on dialogue act recognition on the family of Indo-Iranian languages.
PERSONE: personalized experience recoding and searching on networked environment

We present a new system for creation and efficient retrieval of personal life log media(P-LLM) on networked environment in this paper. Personal life log media data include audiovisual data for user's experiences and additional data from intelligent gadgets which include multimodal sensors, such as GPS, 3D-accelerometers, physiological reaction sensors and environmental sensors. We made our system as a web-based system which provides spatiotemporal graphical user interface and tree-based activity search environment, so that users can access easily and also query intuitively. Our learning based activity classification technique makes it easier to classify the user's activity from multimodal sensor data. Finally we can provide user-centered service with individual activity registration and classification for each user with our proposed system.
Parameter optimized surfaces (POPS): analysis of key interactions and conformational changes in the ribosome

We present a new method for the calculation of solvent accessible surface areas at the atomic and residue levels, which we call parameter optimized surfaces (POPS-A and POPS-R ). Atomic and residue areas (the latter simulated with a single sphere centered at the C(alpha)s atom for amino acids and at the P atom for nucleotides) have been optimized versus accurate all-atoms methods. We concentrated on an analytical formula for the approximation of solvent accessibilities. The formula is simple, easily derivable and fast to compute, therefore it is practical for use in molecular dynamics simulations as an approximation to the first solvation shell. The residue based approach POPS-R has been derived as a useful tool for the analysis of large macromolecular assemblies like the ribosome, and is especially suited for use in refinement of low resolution structures. The structures of the 70S, 50S and 30S ribosomes have been analyzed in detail and most of the interactions within the subunits and at their interfaces were clearly identified. Some interesting differences between 30S alone and within the 70S have been highlighted. Owing to the presence of the P-tRNA in the 70S ribosome, localized conformational rearrangements occur within the subunits, exposing Arg and Lys residues to negatively charged binding sites of P-tRNA. POPS-R also allows for estimates of the loss of free energy of solvation upon complex formation, particularly useful in designing new protein-RNA complexes and in suggesting more focused experimental work.
From appreciation to depreciation - the exchange rate of the Swedish krona, 1913-2008

In this chapter, monthly exchange rates of the Swedish krona are presented for the period 1913–2008. The exchange rates are the prices quoted in Stockholm for currencies, in other words, how many Swedish kronor (SEK) equalled a given unit of a foreign currency. The monthly exchange rates are calculated as monthly averages of daily quotations, except for the period 1952–1974, when the monthly rate is the average of the highest and lowest daily quotations in that particular month. During the Second World War and its aftermath, international trade was to a large extent characterised by bilateral trading arrangements and for many currencies there was no active exchange market. Accordingly, the same exchange rate was used for many years and daily quotations are lacking for most currencies. In the 1930s, after the break-up of the Gold Standard, and during the Second World War and its aftermath, clearing exchange rates were often used in international transactions. In most cases, however, the clearing rates closely tracked the official market exchange rates, and the latter are used in this chapter.1 2 To get a better overview of the evolution of the Swedish exchange rate, an exchange rate index has been constructed with the aims of including the currencies of
Thioredoxin Priming Prolongs Lung Allograft Survival by Promoting Immune Tolerance

Tolerance to allograft antigen is the major challenge and final goal of transplant medicine. Our previous study demonstrated that thioredoxin-1 (Trx) priming of donor lung significantly protected allogeneic lung graft. To determine whether Trx priming of donor lung inhibits allograft rejection, extends allograft survival and induces immune tolerance, orthotopic left lung transplantation was performed from Lewis to Sprague-Dawley rats without immunosuppression. Donor lungs were primed with Trx at 4°C for 4 hr prior to transplantation. After up to 37 days post-transplantation, allograft lung morphology, recipient T cell and humoral alloantigen-specific immune responses were examined. We found that Trx-primed lungs exhibited much reduced acute rejection and associated lung injuries resulting in loss of graft functional area at 5-37 days post-transplant in contrast to the control groups. CD4+ T cells from the recipients with Trx-primed grafts responded to the stimulation of dendritic cells (DCs) of donor origin, in contrast to DCs from the third party, with significantly reduced proliferation. Consistent with above findings, we observed that CD4+Foxp3+ regulatory T cells in spleen cells from the recipients with Trx-primed grafts were significantly increased compared to controls, and CD4+ T cells from the recipients with Trx-primed grafts produced much higher levels of immunosuppressive cytokine, IL-10 when stimulated with allogeneic donor DCs. In addition, humoral immune tolerance was also induced as there was no significant increase levels of serum antibodies against donor antigens in Trx-lung recipients when re-challenged with allogeneic donor antigens. Our results demonstrate that one-time Trx-priming of donor lung grafts prior to transplantation significantly prolongs the survival of the grafts through inducing or promoting cellular and humoral alloantigen-specific immune tolerance, which might be associated with the induction of immunosuppressive regulatory T cells.
Using Old Words In News Ways: The Effect Of Argument Structure, Form Class And Affixation

Williams (1981) and others (e.g., Kiparsky 1983; Pinker & Prince 1987) have noted that new verbs which are semantically extended from nouns take the regular past-tense (as in the baseball sense of fly ), while verbs extended from an irregular verb inherit the irregular past-tense marker, as happens with compounding and affixation (e.g. oversleep ). This type of data has motivated the view that the mental lexicon is governed by abstract principles which are sensitive to formal grammatical categories such as noun and verb but not to the meaning of lexical items or the vicissitudes of their use. If only abstract principles can adequately describe morphological regularities, then it is reasonable to propose that notions such as lexical class, the root/affix distinction, and inheritance of feature markings are explicitly implemented as mental symbols in the language processing system (Marcus, Brinkmann, Clahsen, Wiese, Woest & Pinker 1993).