Miracle-dz/UniFAR-FTUs huggingface dataset:
BIOINFORMATICS ORIGINAL PAPER

Motivation: Considerable attention has been directed in recent years toward the development of methods for the contextual analysis of expression data using interaction networks. Of particular interest has been the identiﬁcation of active subnetworks by detecting regions enriched with differential expression. In contrast, however, very little effort has been made toward the application of comparable methods to other types of high-throughput data. Results: Here, we propose a new method based on co-clustering that is speciﬁcally designed for the exploratory analysis of large-scale, RNAi-based functional screens. We demonstrate our approach by applying it to a genome-scale dataset aimed at identifying host factors of the human pathogen, hepatitis C virus (HCV). In addition to recovering known cellular modules relevant to HCV infection, the results enabled us to identify new candidates and formulate biological hypotheses regarding possible roles and mechanisms for a number of them. For example, our analysis indicated that HCV, similar to other enveloped viruses, exploits elements within the endosomal pathway in order to acquire a membrane and facilitate assembly and release. This echoed a number of recent studies which showed that the ESCRT-III complex is essential to productive infection.
Deadwood distribution in European forests

ABSTRACT National forest inventories are a primary source of data for the assessment of forest resources and lastly more often biodiversity at national scales. The diversity of adopted sampling designs and measurements reduces the prospect for a reliable comparison of generated estimates. The ICP Forest dataset represents a unique opportunity for a standardized approach of forest estimates through Europe. This work aims to provide a distribution map of the mean deadwood volume in European forest. A total of 3243 ICP Forests plots were analysed and presented. The study area extends over 3,664,576 km2 interesting 19 countries. We observed that the highest percentage of plots show a deadwood volume lower than 50 m3 ha−1, with a few of forests attaining around the maximum of 300 m3 ha−1. Forests with more than 100 m3 ha−1 are concentrated in mountainous regions, central Europe and other regions, linked to high-forest management types, while coppices-derived forest systems (part of the Great Britain, Mediterranean region) show lower deadwood content. The map of deadwood volume on European Forests is of interests for scientists, land planners, forest managers and decision-makers, as a reference for further evaluation of changes, stratified sampling, ground reference for model validation, restoration and conservation purposes.
GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices

Excerpted from "Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices" from Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems with permission. http://dx.doi. org/10.1145/2809695.2809711 © ACM 2015. Glimpse is a continuous, real-time object recognition system for camera-equipped mobile devices. Glimpse captures full-motion video, locates objects of interest, recognizes and labels them, and tracks them from frame to frame for the user. Because the algorithms for object recognition entail significant computation, Glimpse runs them on server machines. When the latency between the server and mobile device is higher than a frame-time, this approach lowers object recognition accuracy. To regain accuracy, Glimpse uses an active cache of video frames on the mobile device. A subset of the frames in the active cache are used to track objects on the mobile, using (stale) hints about objects that arrive from the server from time to time. To reduce network bandwidth usage, Glimpse computes trigger frames to send to the server for recognizing.
A BDI game master agent for computer role-playing games

In this paper we describe an approach for developing an intelligent game master (GM) for computer role-playing games. The role of the GM is to set up the game environment, manage the narrative flow and enforce the game rules whilst keeping the players engaged. Our approach is to use the popular Belief-Desire-Intention (BDI) model of agents to developing a GM.
Change in Biophysical Parameters from the Creation of a Natural Monument in Mato Grosso

As unidades de conservacao sao areas geograficamente dotadas de atributos ambientais, sendo requerida ou sugerida por meio de estudo, objetivando a preservacao e protecao da biodiversidade. Neste sentido as imagens de satelite sao grandes ferramentas para monitorar o ecossistema. Diante disso, o objetivo deste trabalho foi avaliar os efeitos sobre o uso e ocupacao do solo apos a criacao da unidade conservacao Monumento Natural Morro de Santo Antonio no estado de Mato Grosso. O estudo foi realizado no Monumento Natural Morro de Santo Antonio, distante 15 km da capital do Estado de Mato Grosso, localizado na divisa dos municipios de Cuiaba e Santo Antonio de Leverger no Cerrado Brasileiro. Foram adquiridas, junto ao USGS, imagens dos satelites Landsat 5 e 8, nos anos de 2005 a 2015, com resolucao espacial de 30 m. Para o estudo da dinâmica da vegetacao foram computados os indices de vegetacao e umidade da superficie: NDVI, EVI e NDMI. Os resultados apresentados neste trabalho demonstram que apos a criacao da MoNa no ano de 2006, comparado a 2015, a classe Cerrado nativo, apresentou aumento de 3,38%, na classe da Vegetacao rasteira, aumento de 5,59%, e na classe Mata densa, aumento de 2,21%. Em comparacao as demais classes, a classe Vegetacao rasteira demonstrou maior predominância. As analises das estimativas de todos os indices foram menores no ano de 2006, enquanto que no ano de 2015, foram maiores.
NP and mathematics – a computational complexity perspective

The P versus NP question distinguished itself as the central question of theoretical computer science nearly four decades ago. The quest to resolve it, and more generally, to understand the power and limits of efficient computation, has led to the development of computational complexity theory. While this mathematical discipline in general, and the P vs. NP problem in particular, have gained prominence within the mathematics community in the past decade, it is still largely viewed as a problem of computer science. In this paper I shall try to explain why this problem, and others in computational complexity, are not only mathematical problems but also problems about mathematics, faced by the working mathematician. I shall describe the underlying concepts and problems, the attempts to understand and solve them, and some of the research directions this led us to. I shall explain some of the important results, as well as the major goals and conjectures which still elude us. All this will hopefully give a taste of the motivations, richness and interconnectedness of our field. I shall conclude with a few non computational problems, which capture P vs. NP and related computational complexity problems, hopefully inviting more mathematicians to attack them as well. I believe it important to give many examples, and to underlie the intuition (and sometimes, philosophy) behind definitions and results. This may slow the pace of this article for some, in the hope to make it clearer to others.
PianoText: redesigning the piano keyboard for text entry

Inspired by the high keying rates of skilled pianists we study the design of piano keyboards for rapid text entry. We present PianoText, a computationally designed mapping that assigns letter sequences of English to frequent note transitions in music. The design is based on four concepts: 1) redundancy, 2) chords, 3) sound and 4) skill transfer. It allows fast text entry of over 80 wpm on any MIDI enabled keyboard. At the demonstration, visitors can explore the benefits of these concepts by typing on PianoText--Mini, a device that allows for piano-based typing at a portable form factor.
FACIAL EXPRESSION RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORK

Abstract: Human emotions are natural expressions that people make without any conscious effort that is accompanied by the reflexing of facial muscles. Common emotions that a human face expresses in response to various situations include happiness, sadness, surprise, anger, and stable normal. The proposed software detects and recognizes faces as well as recognizes a lot more about that human, which could be used to get feedback from customers or to determine if a person requires assistance. The project's main goal is to create a product that is both affordable and efficient. The AI and digital image processing techniques are used to create the system in Python. Drowsiness is important in situations where there is a need to avoid accidents or mishaps, such as driving or security vigilance. As for the system's ability to recognize the identity card, it is a simple feature in which the installed camera is trained to first focus on the card and recognize its shape and color.
An Exploratory Environment for Concurrency Control Algorithms

control algorithms in a real system is a complex, tedious, and error-prone process. Further, understanding concurrency control algorithms and distributed computations is itself a difficult task. Visualization can help with both of these problems. Thus, we have developed an exploratory environment in which people can prototype and test various versions of concurrency control algorithms, study and debug distributed computations, and view performance statistics of distributed systems. In this paper, we describe the exploratory environment and show how it can be used to explore concurrency control algorithms for the interactive steering of distributed computations.
An experimental approach to understanding how Bromus tectorum will respond to global climate change in the sagebrush-steppe

Global climate change, including elevated atmospheric CO2 concentrations, increases in global surface temperatures, and changes in resource availability, has significant consequences for global plant communities, one of which is the expansion of invasive species. The invasive grass species Bromus tectorum dominates areas of the North American sagebrush-steppe. In these areas, B. tectorum responds positively to elevated nutrients after fire and a positive feedback with fire has been initiated. Bromus tectorum dominance and its positive response to fire are limited by cold and moist climates. Global climate change is predicted to expand the climate suitability for B. tectorum dominance, as well as that of its response to fire. Using a field study and controlled setting experiments, I investigated this prediction. In a cold and moist southwestern Montana sagebrush-steppe, my field experiment assessed the response of B. tectorum and the native plant community to increased growing season temperatures, decreased growing season precipitation, and a prescribed burn. We found that both B. tectorum and a dominant native perennial grass, Pseudoroegneria spicata, responded negatively to experimental warming, and warming and drying. Bromus tectorum’s response to fire was limited to an increase in individual fecundity across the climate scenarios and compensatory growth in warm and dry conditions. In controlled settings, using differing densities of B. tectorum and P. spicata, I performed replacement series experiments that altered temperature, water availability, nutrient availability, and, secondly, atmospheric CO2 concentration and water availability. Bromus tectorum competitiveness was enhanced by warmer and drier conditions and elevated nutrient availability. When grown in monoculture, both species responded positively to elevated CO2. When grown in competition, elevated CO2 increased P. spicata’s already significant suppressive effect on B. tectorum. This effect was magnified when soil moisture was limited. Due to B. tectorum’s significant negative response to the field climate treatments, its limited response to fire, and the significant suppressive effect of the native grasses in both experiments, especially in elevated CO2, I conclude that similar future climate scenarios will not promote the expansion of B. tectorum dominance and its positive response to fire within the cold and moist northern region of the sagebrush-steppe.
Congestion estimation and localization in fpgas:: a visual tool for interconnect prediction

In this paper, we are concerned with locating the most congested regions in FPGA designs before routing is completed. As well, we are interested in the amount of congestion in these locations relative to surrounding areas. If this estimation is done accurately and early enough, e.g. prior to routing or even prior to placement, the data can be used to avoid or spread out congestion before it becomes a problem. We implemented several estimation methods in the VPR tool set and visually compare estimation results to an actual routing congestion ma. We find that standard image processing techniques such as blending and peak saturation considerably improve the quality of estimation for all metrics.
Under Consideration for Publication in J. Functional Programming

A confluent λ-calculus with a catch/throw mechanism Abstract We derive a confluent λ-calculus with a catch/throw mechanism (called λct-calculus) from M. Parigot's λµ-calculus. We also present several translations from one calculus into the other which are morphisms for the reduction. We use them to show that the λct-calculus is a retract of λµ-calculus (these calculi are isomorphic if we consider only convertibility). As a by-product, we obtain the subject reduction property for the λct-calculus, as well as the strong normalization for λct-terms typable in the second order classical natural deduction.
Application of artiﬁcial intelligence in digital chest radiography reading for pulmonary tuberculosis screening

Currently, the diagnosis of tuberculosis (TB) is mainly based on the comprehensive consideration of the patient ' s symptoms and signs, laboratory examinations and chest radiography (CXR). CXR plays a pivotal role to support the early diagnosis of TB, especially when used for TB screening and differential diagnosis. However, high cost of CXR hardware and shortage of certiﬁed radiologists poses a major challenge for CXR application in TB screening in resource limited settings. The latest development of artiﬁcial intelligence (AI) combined with the accumulation of a large number of medical images provides new opportunities for the establishment of computer-aided detection (CAD) systems in the medical applications, especially in the era of deep learning (DL) technology. Several CAD solutions are now commercially available and there is growing evidence demonstrate their value in imaging diagnosis. Recently, WHO published a rapid communication which stated that CAD may be used as an alternative to human reader interpretation of plain digital CXRs for screening and triage of TB.
in Computer

: The world has been witnessed with many technological revolutions. One of them is the computing technologies. The world is able to do many things with the utilization of this innovation. There have been many revolutions such as mainframe computers, super computers, web technologies, Internet, grid computing, utility computing, etc even in the computing technologies throughout the history of the world. Cloud computing is another evolutions in the field of computing and it has been evolved from the earlier computing technologies by the integration of some of them and removing the obstacles encountered in them as a new technology to the world. Amazon, Google, Microsoft, Salesforce.com, are some of the organizations who provide this technology to organizations and personal users. Cloud computing has been the talk of today’s world and attracted many people, researchers, and professionals towards it and they have been seriously studying different aspects of it. Many people have done researches on it and many articles and conference papers on varying aspects of cloud computing has been published. The purpose of this is paper is to review those research articles and conference papers to compile the concepts and various aspects of it in order to enlighten the concept more understandable to all varieties of people since it has been a new concept and many people are not aware of it. The paper focuses on the different definitions of cloud computing, characteristics, underlying technologies, different cloud services
Knowledge Management in Virtual Communities of Practice: Experiments with a Helper Tool

The Web was projected to support resource sharing at global level. Nowadays, this resource sharing is very limited, mainly respect to imperfect information retrieval and hidden Web. The semantic Web comes up as a possible solution to such limitations. The virtual communities of practice are groups of people who get in with each other virtually and share their knowledge. The use of semantic Web technologies can be very useful in construction of tools to support these communities. This text presents a tool constructed to help knowledge management in virtual communities of practice. It was developed based on the semantic Web principles.
Message Security with QR Code

A QR Code is a specific matrix barcode (or two-dimensional code), readable by dedicated QR barcode readers and camera phones. The code consists of black modules arranged in a square pattern on a white background. The information encoded can be text, URL or other data. Common in Japan, where it was created by Toyota subsidiary Denso-Wave in1994, the QR code is one of the most popular types of two-dimensional barcodes. QR is the abbreviation for Quick Response, as the creator intended the code to allow its contents to be decoded at high speed. QR codes were originally made to track parts in vehicle manufacturing. QR codes are free to anyone who wants to make them or use them for any kind of tracking or promotional service. QR codes contain embedded information that can only be read by QR code readers that are usually downloaded by smart phones. The purpose of QR codes is to give a consumer additional information about the product, an event, or even a promotion. It is widely used in daily life because it has high capacity encoding of data, damage resistance, fast decoding. QR code technique can be used for Steganography which leads to many problems, so to recover or retrieve the hidden secret information, the Reed Solomon and list decoding scheme being used. QR code technique also used in cryptography, as it has mainly used to convey or store message because they have large storage capacity than conventional barcode. Here the information being send (which is in an encrypted format) securely and safely to authorized party. The focus of this paper is to explore and analysis the compilation of data and research regarding the current digital functionalities, benefits, limitations and future expectations of QR code in digital technology.
Mind Matters: Cognitive and Physical Effects of Aging Self-stereotypes Internalization of Aging Stereotypes

In the first part of this article, a wide range of research is drawn upon to describe the process by which aging stereotypes are internalized in younger individuals and then become self-stereotypes when individuals reach old age. The second part consists of a review of the author's cross-cultural, experimental, and longitudinal research that examines the cognitive and physical effects of aging self-stereotypes. The final section presents suggestions for future research relating to aging self-stereotypes. I've never been more loved and appreciated than when I tried to ''justify'' and affirm someone's mistaken beliefs. They received a feeling of security. But here was the rub: Too often, in order to justify them, I had to take myself by the throat and choke myself until my eyes bulged and my tongue hung out and wagged like the door of an empty house in a high wind. Oh, yes, it made them happy and it made me sick. T HIS passage is taken from Ralph Ellison's novel, Invisible Man, that charts the efforts of the African American narrator to navigate through a White society filled with stereotypes about African Americans. Although the narrator is speaking in metaphorical terms about the harmful effects for an African American adopting and acting out the race stereotypes of the 1930s, he describes a process that may occur today for older individuals who must navigate through a youth-centered society in which negative stereotypes of aging may literally harm the cognitive and physical functioning of older individuals. In the first part of this article, I will present the central components of this process as illuminated by a number of sources. In the second part, I will describe the stages of my research that explore how cognitive and physical functioning is affected by aging self-stereotypes. In the third part, suggestions are offered for future research relating to aging self-stereotypes. A wide range of studies suggests that the development and operation of aging self-stereotypes have identifiable characteristics: (a) they originate in the form of aging stereotypes as early as childhood and are reinforced in adulthood; (b) aging self-stereotypes, as well as aging stereotypes, can operate below awareness; and (c) in old age, the aging stereotypes become aging self-stereotypes. The internalizing of aging stereotypes begins in childhood (e.g., DePallo et al., 1995; Isaacs & Bearison, 1986). The process has been described by Allport (1954), ''A child who adopts prejudice is taking …
Impact of MAC Layer on the Performance of Routing Protocols in Mobile Ad hoc Networks

Ad hoc Networks is an autonomous system of mobile nodes connected by multi-hop wireless links without centralized infrastructure support. As mobile communication gains popularity, the need for suitable ad hoc routing protocols will continue to grow. Efficient dynamic routing is an important research challenge in such a network. Bandwidth constrained mobile devices use on-demand approach in their routing protocols because of its effectiveness and efficiency. Many researchers have conducted numerous simulations for comparing the performance of these protocols under varying conditions and constraints. Most of them are not aware of MAC Protocols, which will impact the relative performance of routing protocols considered in different network scenarios. In this paper we investigate the choice of MAC protocols affects the relative performance of ad hoc routing protocols under different scenarios. We have evaluated the performance of these protocols using NS2 simulations. Our results show that the performance of routing protocols of ad hoc networks will suffer when run over different MAC Layer protocols. performance I. INTRODUCTION OBILE Ad hoc Networks is a collection of mobile nodes that are dynamically communicating without centralized supervision. It is self-creating, self-organizing and self-administrating network. Absence of the base station from the network necessitates the functionality of the network nodes to include routing as well. This task becomes more complex as the network nodes change randomly their positions. An efficient routing protocol that minimizes the access delay and power consumption while maximizing utilization of resources remains a challenge for the ad-hoc network design. For these reasons we have considered efficient routing protocols and we have evaluated their performances on a different MAC layers.