Miracle-dz/UniFAR-FTUs huggingface dataset:
VALIS: A Multi-language System for Rapid Prototyping in Computational Biology

Bioinformatics is a challenging area for computer science, since the underlying computational formalisms span database systems, numerical methods, geometric modeling and visualization, imaging and image analysis, combinatorial algorithms, data analysis and mining, statistical approaches, and reasoning under uncertainty. This thesis describes the VALIS environment for rapid application prototyping in bioinformatics. The core components of the VALIS system are the underlying database structure and the algorithmic development platform. This thesis presents a novel set of data structures that have marked advantages when dealing with unstructured and unbounded data that are common in scientific fields and bioinformatics. Bioinformatics problems rarely have a one-language, one-platform solution. The VALIS environment allows seamless integration between scripts written in different programming languages and includes tools to rapidly prototype graphical user interfaces. To date the speed of computation of most whole genome analysis tools have stood in the way of developing fast interactive programs that may be used as exploratory tools. This thesis presents the basic algorithms and widgets that permit rapid prototyping of whole genomic scale real-time applications within VALIS.
Tentative de formalisation algorithmique de la démarche du phonologue Un outil d'aide à la formulation d'hypothèses phonologiques

We present a formal computerized model of a particular linguistic theory, functional phonology -- a theory which is often criticized precisely for its lack of formalization. This theory proposes on the one hand a general framework for the expression of phonological phenomena and on the other a model for a discovery procedure for phonological units. In formalizing this theory explicitly, we have arrived at (1) a formalism for the expression of data and hypotheses and (2) a computer program emulating the functionalist methods of phonological analysis. In the paper, we present the principal data structures used and the procedures which we have designed to process them. Methodological obstacles which we have faced in implementing the model are discussed.
Recognizing Chinese Person Names based on Hybrid Models

This paper describes a hybrid model and the corresponding algorithm combining support vector machines(SVM) with statistical methods to improve the performance of SVM for the task of Chinese person names recognition.In this algorithm,a training set is obtained by extracting the attributes of feature vectors based on characters and the SVM model of automatic identification of Chinese person names is set up by choosing a proper kernel function.Thus a threshold of the distance from the test sample to the hyperplane of SVM in feature space is used to separate SVM region and statistical method region.If the distance is greater than the given threshold,the test sample is classified using SVM;otherwise,the statistical model is used.The experimental results show the recall,precision and F-measure for recognition of Chinese person names based on the hybrid model are up to 91.96%,94.62% and 93.27% respectively in open test.Compared with sole SVM,the F-measure increases 1.51%. By integrating the advantages of two methods,the performance is obviously improved.
Centralization and decentralization of intelligent optimization

On the basis of a brief analysis of principles and means for the generation of mechanisms in intelligent optimization, centralization and decentralization, that are basic properties of intelligent optimization, are introduced. The relationship between these two properties and convergence is described. The significance of these two properties to analysis and construction of algorithms is proposed. Finally, using an example based on the centralization and decentralization of intelligent optimization, the mechanism combination of algorithm is explored from the point of view of population evolution. The practical examples are given.
Antenna Engineering Handbook

Thank you for reading antenna engineering handbook. As you may know, people have search numerous times for their favorite readings like this antenna engineering handbook, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some infectious bugs inside their laptop. antenna engineering handbook is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the antenna engineering handbook is universally compatible with any devices to read.
DÜŞÜK ENFLASYON DÖNEMİNDE AZERBAYCAN’DA FİYATLAR GENEL DÜZEYİ VE PARA ARZI İLİŞKİSİ

Bu calismada, Ocak 1995 – Kasim 2010 donemine ait aylik veri seti kullanilarak Azerbaycan ekonomisinde yuksek enflasyon sonrasi donem icin fiyatlar genel duzeyi ve para arzi arasindaki iliski incelenmistir. Nedensellik analizi sonuclarina gore Azerbaycan fiyatlar genel duzeyi ve para arzi arasinda cift yonlu Granger nedensellik iliskisi vardir. Uzun doneme iliskin olarak ise para arzi degismelerinden enflasyona dogru tek yonlu nedensellik iliskisi bulunmustur. Uzun doneme iliskin bulgular enflasyonun parasal bir olay oldugu seklindeki parasalci gorusu desteklemektedir. Bunun yani sira, fiyat duzeyi degismelerinden para arzi degismelerine dogru nedensellik iliskisinin varligi genellikle gelismekte olan ulkeler icin savunulan yapisalci gorusu kismi olarak dogrulamaktadir. Nedensellik iliskisinin cift yonlu olusu Azerbaycan’da para politikasinin enflasyonla uyumlastirici bir sekilde yurutuldugunu ve yasanan enflasyonun maliyet enflasyonu oldugunu veya yapisal ozellikler tasidigini ortaya koymaktadir
Climate Impacts of Cultured Meat and Beef Cattle

Improved greenhouse gas (GHG) emission efficiency of production has been proposed as one of the biggest potential advantages of cultured meat over conventional livestock production systems. Comparisons with beef are typically highlighted, as it is a highly emissions intensive food product. In this study we present a more rigorous comparison of the potential climate impacts of cultured meat and cattle production than has previously been made. Warming impacts are evaluated using a simple climate model that simulates the different behaviours of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), rather than relying on carbon dioxide equivalent (CO2e) metrics. We compare the temperature impact of beef cattle and cultured meat production at all times to 1000 years in the future, using four synthetic meat GHG footprints currently available in the literature and three different beef production systems studied in an earlier climate modelling paper. Cattle systems are associated with the production of all three GHGs above, including significant emissions of CH4, while cultured meat emissions are almost entirely CO2 from energy generation. Under continuous high global consumption, cultured meat results in less warming than cattle initially, but this gap narrows in the long term and in some cases cattle production causes far less warming, as CH4 emissions do not accumulate, unlike CO2. We then model a decline in meat consumption to more sustainable levels following high consumption, and show that although cattle systems generally result in greater peak warming than cultured meat, the warming effect declines and stabilises under the new emission rates of cattle systems, while the CO2 based warming from cultured meat persists and accumulates even under reduced consumption, again overtaking cattle production in some scenarios. We conclude that cultured meat is not prima facie climatically superior to cattle production; its relative impact instead depends on the availability of decarbonised energy generation and the specific production systems that are realised.
Towards a data-driven object recognition framework using temporal depth-data

Object recognition using depth-sensors such as the Kinect device has received a lot of attention in recent years. Yet the limitations of such devices such as large noise and missing data makes the problem very challenging. In this work I propose a framework for data-driven object recognition that uses a combination of local and global features as well as time varying depth information.
Design and Implementation of Component Developing Assistant Virtual Laboratory

A designing model and implementing method of component developing assistant virtual laboratory was proposed.This system was implemented with Java language so that it is independent of operating system.Making use of Applet digital signature technique,RMI mechanism,XML analysis,Java Bean,reflection technique and so on,component configuring,component uploading,component's interface inspecting as well as component's function evaluating are mainly realized in turn.The system has good interactivity so that users can not only participate in the detailed analysis and specific configuration of the component class intuitively,but also view the executing outcome and evaluating results.This is helpful for users to study and master the structure and realization of Java Bean components.The designing and evaluating components provided in the system make up for the deficiency of the former work.
Fast algorithm to enhance contrast of fog-degraded images

In order to enhance contrast of scenery images degraded by fog,an interpolating self-adaptive histogram equalization algorithm was proposed.It not only avoided the reliance of the physical model on the structure information of scene,but also reduced the computation complexity,eliminated the blocking effect,and enhanced the local information of images.Thus it was especially adapted to the fog-degraded images with scene depth variations.Experiment results show that the performance of the proposed algorithm is very good.
Neuroprotective effects of PPARα in retinopathy of type 1 diabetes

Diabetic retinopathy (DR) is a common neurovascular complication of type 1 diabetes. Current therapeutics target neovascularization characteristic of end-stage disease, but are associated with significant adverse effects. Targeting early events of DR such as neurodegeneration may lead to safer and more effective approaches to treatment. Two independent prospective clinical trials unexpectedly identified that the PPARα agonist fenofibrate had unprecedented therapeutic effects in DR, but gave little insight into the physiological and molecular mechanisms of action. The objective of the present study was to evaluate potential neuroprotective effects of PPARα in DR, and subsequently to identify the responsible mechanism of action. Here we reveal that activation of PPARα had a robust protective effect on retinal function as shown by Optokinetic tracking in a rat model of type 1 diabetes, and also decreased retinal cell death, as demonstrated by a DNA fragmentation ELISA. Further, PPARα ablation exacerbated diabetes-induced decline of visual function as demonstrated by ERG analysis. We further found that PPARα improved mitochondrial efficiency in DR, and decreased ROS production and cell death in cultured retinal neurons. Oxidative stress biomarkers were elevated in diabetic Pparα-/- mice, suggesting increased oxidative stress. Mitochondrially mediated apoptosis and oxidative stress secondary to mitochondrial dysfunction contribute to neurodegeneration in DR. Taken together, these findings identify a robust neuroprotective effect for PPARα in DR, which may be due to improved mitochondrial function and subsequent alleviation of energetic deficits, oxidative stress and mitochondrially mediated apoptosis.
USER SEARCH FEEDBACK BEHAVIOR USING FUZZY C MEAN

When a query is submitted to search engine, user have in mind a fixed goal. Search engine gives thousands of results for such a query. Most of them are not useful for user so time and energy is wasted. For increasing retrieval precision, some new method provides manually verified answers to Frequently Asked Queries (FAQs). In this paper we are clustering the feedback session by using Fuzzy c-means algorithm. Also we use method to map feedback sessions to pseudo-documents which can efficiently reflect required data. Then, we evaluate the "Classified Average Precision (CAP)" of restructured web search results. In the area of web mining, more importance is given to fast and accurate extraction of information. Query suggestions provided by the search engine will help to find the user needs. But it may cover broad topics, so this may not be solution for achieving a better search result. Also same queries have different goals for different users. The analysis of user search goal improves the relevance and user satisfaction of the search engine. This method analyzes the user query and restructure the search results.
A method of designing smartphone interface based on the extended user's mental model

The user’s mental model is the core guiding theory of product design, especially practical products. The essence of practical product is a tool which is used by users to meet their needs. Then, the most important feature of a tool is usability. The design method based on the user's mental model provides a series of practical and feasible theoretical guidance for improving the usability of the product according to the user’s awareness of things. In this paper, we propose a method of designing smartphone interface based on the extended user’s mental model according to further research on user groups. This approach achieves personalized customization of smartphone application interface and enhance application using efficiency.
Security analysis of a digital multisignature scheme

Lu et al.pointed out that there is the same weakness in the multisignature scheme proposed by Hurn and proposed by Ji et al.,that is,several members collude together,they can deny that they had taken part in process of signing some messages with others.To avoid this weakness,Lu et al.proposed improvements for the two multisignature schemes.In this paper,we first analyzed The scheme improved by Lu et al was analyzed.And showed that their scheme was still insecure,then a new multisignature scheme was proposed.The scheme propose not only can withstand the collude attack,but also has the property of forward secure.An adversary can not forge multisignature pertaining to the past even if has gotten the current all signatures'keys,that is,previous generated multisignature remains valid.
A theoretical view on public-private partnerships in research and innovation in Germany

Many case studies about public-private research partnerships (PPP) between academia and industry provide useful insights into the establishment and operation of these collaborative ties. Nevertheless, many of these studies follow their own perspective of analysis. According to Bozeman (2013: 312) "the scholarship on this topic remains relatively a theoretical or, more precisely, that it is "pre-theoretical" in the sense that much knowledge is accumulated but it has not been integrated into a matrix of empirical explanations". Taking the funding initiative of the German Federal Ministry of Education and Research (BMBF) "Research Campus - public-private partnership for innovation" (Forschungscampus - offentlich-private Partnerschaft fur Innovationen) as an example of a public-private partnership in research and innovation, it is the objective of this paper to develop a theoretical framework for the empirical analysis of this kind of PPP, and to apply this framework to the specific case of the German "Research Campus" initiative.
The Effect of Cadmium on Apoptotic Genes mRNA Expression of Bax and Bcl-2 in Small Intestine of Rats

Background & Objective: Cadmium is a potent toxicant and carcinogenic substance for human and experimental animals. The evidences indicate that cadmium induces aberrant gene expression, inhibition of DNA damage repair, and apoptosis. In this study, we investigated the effects of IP (intraperitoneal) injection of cadmium on mRNA levels expression of Bcl-2 and Bax genes in rat small intestine. Methods: 28 male Wistar rats weighing 200 to 250 grams were randomly assigned into 4 groups. Group 1 received saline while the animals in groups 2-4 were injected cadmium (1, 2 and 4 mg/kg) for 15 successive days. One day after the last injection, the small intestine was dissected and the mRNA levels expression of Bax and Bcl-2 genes was evaluated using Real Time PCR technique. Results: Cadmium increased the mRNA levels of Bax gene compared to the control group at 2 and 4 mg/kg (P < 0.01) in small intestine of rats. The mRNA levels of Bcl-2 gene decreased significantly compared to the control group at 1, 2 and 4 mg/kg (P < 0.001) in small intestine of rats. Conclusion: These results showed Cadmium exposure induced cell apoptosis by increasing Bax/Bcl-2 ratio expression.
Sistema de clasificación de historias clínicas con deep learning

Las historias clinicas electronicas contienen extensa informacion de gran utilidad en ensayos clinicos a gran escala y en el diagnostico de pacientes. En este trabajo abordamos el problema de asignar codigos ICD-9 tomando como entrada notas medicas escritas por personal sanitario. Para ello utilizamos el reciente dataset MIMIC-III, construyendo un sistema que facilita el diseno, la implementacion y la evaluacion de multitud de clasificadores multilabel fundamentados en regresion logistica, redes neuronales feedforward y redes neuronales recurrentes. Nuestros resultados son similares a los obtenidos por otros investigadores. Los modelos basados en deep learning resuelven con exito la tarea de clasificacion para las 10 etiquetas ICD-9 mas frecuentes.
How Many Primes are There

1. Introduction: Asking the Correct Question pi(x) is the number of primes less than or equal to x A Table of values of pi(x) 2. The Prime Number Theorem Consequence One: You can Approximate pi(x) with x/(log x-1) Consequence Two: The nth prime is about n log n Consequence Three: The chance of a random integer x being prime is about 1/log x 3. History of the Prime Number Theorem and other approximations of pi(x) 4. There are better estimates!
Word polarity classification by fine-tuning of query words

Analysis of the polarity of words is the basis of determining the affective orientation of a text. A novel word polarity classification method is proposed. We use the PLSA model to construct the similarity matrix of query words and benchmark words. Then the polarity value of each query word is estimated by the combination of polarities of related benchmark words. To improve the polarity values, we cluster query data according to their PLSA similarities and balance the polarities in one cluster. This fine-tuning step gives us a much more accurate estimation of polarity with a fixed size of corpus. Experimental results show the advantage of the proposed method.
Predicting Complex Networks and Dynamical Systems Based on Time Series

An outstanding problem of extremely broad interest in nonlinear science is to predict dynamical systems and the topologies of unknown complex networks based on solely measured time series - a kind of inverse problem. Recently the Nonlinear-Dynamics Group at Arizona State University made significant progress toward developing general solutions to the inverse problem [1, 2, 3]. In this talk, two methods will be discussed: one based on stochastic fluctuations and another on compressive sensing. The speaker will introduce the key ideas, present the underlying mathematical theory, and speculate on open issues.
Do Experiences With Nature Promote Learning? Converging Evidence of a Cause-and-Effect Relationship

Do experiences with nature – from wilderness backpacking to plants in a preschool, to a wetland lesson on frogs—promote learning? Until recently, claims outstripped evidence on this question. But the field has matured, not only substantiating previously unwarranted claims but deepening our understanding of the cause-and-effect relationship between nature and learning. Hundreds of studies now bear on this question, and converging evidence strongly suggests that experiences of nature boost academic learning, personal development, and environmental stewardship. This brief integrative review summarizes recent advances and the current state of our understanding. The research on personal development and environmental stewardship is compelling although not quantitative. Report after report – from independent observers as well as participants themselves – indicate shifts in perseverance, problem solving, critical thinking, leadership, teamwork, and resilience. Similarly, over fifty studies point to nature playing a key role in the development of pro-environmental behavior, particularly by fostering an emotional connection to nature. In academic contexts, nature-based instruction outperforms traditional instruction. The evidence here is particularly strong, including experimental evidence; evidence across a wide range of samples and instructional approaches; outcomes such as standardized test scores and graduation rates; and evidence for specific explanatory mechanisms and active ingredients. Nature may promote learning by improving learners’ attention, levels of stress, self-discipline, interest and enjoyment in learning, and physical activity and fitness. Nature also appears to provide a calmer, quieter, safer context for learning; a warmer, more cooperative context for learning; and a combination of “loose parts” and autonomy that fosters developmentally beneficial forms of play. It is time to take nature seriously as a resource for learning – particularly for students not effectively reached by traditional instruction.
Optimized cross-slot microdevices for homogeneous extension

Microfluidic cross-slot devices can generate wide regions of vorticity-free strong extensional flow near the stagnation point, resulting in large extensional deformation and orientation of the microstructure of complex fluids, with possible applications in extensional rheometry and hydrodynamic stretching of single cells or molecules. Standard cross-slot devices, with sharp or rounded corners, generate a flow field with a non-homogeneous extension rate that peaks at the stagnation point, but decays significantly with distance from the stagnation point. To circumvent this limitation, an optimized shape cross-slot extensional rheometer (OSCER) was designed numerically and shown to generate constant extension rate over a wide region of the in- and out-flowing symmetry planes [Haward et al., Phys. Rev. Lett. , 2012, 109, 128301]. Since the OSCER device was based on a 2D flow approximation, the practical implementation requires a large aspect ratio, which cannot be reproduced by standard soft-lithography techniques. Here, we propose a set of new designs for optimized cross-slot geometries, considering aspect ratios of order 1 and different lengths of the homogeneous inlet/outlet-flow regions. Micro-particle image velocimetry experiments were carried out in order to validate the flow kinematics, and the velocity profiles were found to be linear along the in- and outflow centrelines in good quantitative agreement with the numerical predictions.
Authenticated Encryption with AES-CBC and HMAC-SHA

This document specifies algorithms for authenticated encryption with associated data (AEAD) that are based on the composition of the Advanced Encryption Standard (AES) in the Cipher Block Chaining (CBC) mode of operation for encryption, and the HMAC-SHA message authentication code (MAC). These are randomized encryption algorithms, and thus are suitable for use with applications that cannot provide distinct nonces to each invocation of the AEAD encrypt operation.