Miracle-dz/UniFAR-FTUs huggingface dataset:
You don’t have to love it - Exploring the mechanisms of exercise motivation using self-determination theory in a digital context

Karin’s personal relationship to exercise motivation started in the aftermaths of a traffic accident in the mid 90’s when she was prescribed an early prototype of exercise on prescription* as a part of her rehabilitation process. Slowly discovering and internalizing the benefits and enjoyment of being physically active, exercise became a natural part of her daily life routines. Over a few years’ time, Karin became increasingly involved in the local fitness club as a trained exercise instructor and member of the club board. This journey sparked a growing interest in exercise motivation and aspirations to facilitate similar experiences for others, and in 2001, at 25 years of age, she started her studies in sport and exercise psychology at Halmstad University. Shortly after finishing her Master’s degree she started teaching exercise psychology and, in 2011, initiated part time PhD studies. Parallel to her doctoral studies, Karin has continued to teach and develop exercise psychology courses; she initiated an interdisciplinary research project on digital innovations for exercise and motivation [Project GoDIS] and has also authored course literature. Karin lives in Halmstad on the west coast of Sweden and in her leisure time she likes to exercise at the gym, take long runs, and go horseback riding. She also enjoys nice food and good laughs with family and friends.
Dual-Critical Graphs – Notes on parity constrained acyclic orientations

We define dual-critical graphs as graphs that have acyclic orientations in which the indegrees have certain parity constraints. We have very limited knowledge about the complexity of dual-criticality testing. The basic definitions show that the problem is in NP, and a result of Balázs Szegedy and Christian Szegedy [4] provides a randomized polynomial algorithm, which relies on formal matrix rank computing. It is unknown whether dual-criticality test can be done in deterministic polynomial time. Moreover, the question of being in co-NP is also open. The first section introduces dual-critical graphs and their basic properties. We examine connectivity conditions, splitting trees, and the background of the terminology, which lies in planar dual-critical graphs. The second section deals with 3-regular graphs. The main theorem of the section shows that dualcritical graphs coincide with many graph classes when restricted to 3-regular graphs. The following subsections show further equivalences, and they yield a deterministic polynomial algorithm in the 3-regular case. The final section shows some necessary conditions for dual-criticality. 1 Dual-critical graphs in general 1.1 Basic properties of dual-critical graphs Definition 1.1 (Acyclic orientation). An orientation − → G = (V, − → E ) of a graph G is called acyclic if it does not have directed cycles. Definition 1.2 (Dual-critical graph). A graph G is dual-critical if it has an acyclic orientation such that all vertices except one have an odd indegree. Department of Computer Science and EGRES (MTA-ELTE), Eötvös University, Pázmány Péter sétány 1/C, Budapest, Hungary. Research was supported by grants (no. CNK 77780 and no. CK 80124) from the National Development Agency of Hungary, based on a source from the Research and Technology Innovation Fund, and also by T’AMOP grant 4.2. 1. /B-09/1/KMR-2010-0003. Department of Computer Science, Eötvös University, Pázmány Péter sétány 1/C, Budapest, Hungary.
Host chemokine signature as a biomarker for the detection of pre-cancerous cervical lesions

Background The ability to distinguish which hrHPV infections predispose to significant disease is ever more pressing as a result of the increasing move to hrHPV testing for primary cervical screening. A risk-stratifier or “triage” of infection should ideally be objective and suitable for automation given the scale of screening. Results CCL2, CCL3, CCL4, CXCL1, CXCL8 and CXCL12 emerged as the strongest, candidate biomarkers to detect underlying disease [cervical intraepithelial neoplasia grade 2 or worse (CIN2+)]. For CIN2+, CCL2 had the highest area under the curve (AUC) of 0.722 with a specificity of 82%. A combined biomarker panel of six chemokines CCL2, CCL3, CCL4, CXCL1, CXCL8, and CXCL12 provides a sensitivity of 71% and specificity of 67%. Conclusion The present work demonstrates that the levels of five chemokine-proteins are indicative of underlying disease. We demonstrate technical feasibility and promising clinical performance of a chemokine-based biomarker panel, equivalent to that of other triage options. Further assessment in longitudinal series is now warranted. Methods A panel of 31 chemokines were investigated for expression in routinely taken archived and prospective cervical liquid based cytology (LBC) samples using Human Chemokine Proteomic Array kit. Nine chemokines were further validated using Procartaplex assay on the Luminex platform.
A Low-Power Energy Detection IR-UWB Synchronization and Decision Scheme for Wireless Sensor Network Applications

Impulse Radio Ultra-wideband (IR-UWB) is a modern radio technology that uses modulated pulses to transmit information and works at extremely low energy levels. It is popularly used in short-range, low power and low cost communications such as vehicular ad-hoc networks (VANETs), RFIDs and wireless sensor networks (WSN). This paper presents the design and implementation of an IR-UWB Transceiver using energy detection scheme with on-off keying (OOK) modulation. A synchronization and detection algorithm called energy offset based scheme is proposed and used in the transceiver, which can greatly reduce power consumptions for synchronization and simplify hardware complexity. To increase flexibility, the prototype of the transceiver’s baseband is implemented on FPGA, with design of FSMs in the controller. Simulation results are given, which reveal that the proposed UWB receiver has simple and power saving synchronization blocks, smaller preamble code length in synchronization, while maintaining performance in the target level. With RF front-end added, the transceiver is used as a wireless communication module in a WSN for water quality monitoring. Field testing data are given, showing the transceiver can work at 10 Mbps in 10 m radius, with energy efficiency below 1 nJ/bit. Copyright © 2013 IFSA.
Enriching Entity Translation Discovery using Selective Temporality

This paper studies named entity translation and proposes “selective temporality” as a new feature, as using temporal features may be harmful for translating “atemporal” entities. Our key contribution is building an automatic classifier to distinguish temporal and atemporal entities then align them in separate procedures to boost translation accuracy by 6.1%.
On the delay/cost tradeoff in wireless mobile Delay-Tolerant Networks

An infinite number of nodes travel on ℝ2, along straight lines, with a common speed υn. Any transmission across a distance d incurs a cost c(d). We devise and study, both by analysis (using stochastic geometry tools) and simulation, forwarding rules that transport packets towards a given direction using combinations of wireless transmissions and physical transfers on node buffers. The forwarding rules are evaluated in terms of two metrics: the packet delivery delay and the aggregate transmission cost, both per unit of distance covered. We explore the tradeoff between these two metrics in terms of the points on the delay-cost plane achieved by our forwarding rules.
Monitoring Solder Fatigue in a Power Module Using Case-Above-Ambient Temperature Rise

Condition monitoring is needed in power electronic systems as a cost-effective means of improving reliability. Packaging-related solder fatigue has been identified as one of the main root causes of power electronic module failures. This paper presents a method to monitor solder fatigue inside a module by identifying the increase of internal thermal resistance due to that solder fatigue, taking account of the masking effect of the variable operating point. It is assumed that the total loss in the module increases as junction temperature rises, causing an increase in case-above-ambient temperature rise, which can be measured. A dynamic thermal model of the heat sink is utilized to estimate the power loss from temperature measurements, while a device power loss model is developed to estimate the internal thermal resistance by considering the converter electrical loading. Experiment and simulation are used to demonstrate the concept and verify the method.
Towards Energy-Efficient Algorithm-Based Estimation in Wireless Sensor Networks

A primary purpose of sensing in a sensor network is to collect and aggregate information about a phenomenon of interest. The batteries on today’s wireless sensor barely last a few days, and nodes typically expend a lot of energy in computation and wireless communication. Hence, the energy efficiency of the system is a major issue. Different representative mechanisms has been proposed to achieve a long lived sensors such as “clustering mechanisms” as well as Aggregation techniques to reduce the amount of data communication generated by sensors. Depending on the data type, ARMA series and forecasting are possible ways to reduce data transmission. In this work, we adopt single-hop clustering mechanism where all sensor nodes in a cluster communicate with their Cluster-Head (or sink) via single hop (such as In/On body sensors for personal health monitoring,.). We propose different data aggregation algorithms based on the AutoRegressive model, to predict local readings and reduce the communication traffic. We evaluate the performance of our work in terms of communication cost and energy consumption. We also extend our work to enhance the prediction accuracy by estimating dynamic prediction threshold. Our simulation shows that depending on data type, communication overhead and rate can be reduced and a considerable accuracy prediction can be obtained.
Self-adaptive artificial bee colony

Artificial Bee Colony (ABC) optimization algorithm is a swarm intelligence-based nature inspired algorithm, which has been proved a competitive algorithm with some popular nature-inspired algorithms. ABC has been found to be more efficient in exploration as compared to exploitation. With a motivation to balance exploration and exploitation capabilities of ABC, this paper presents an adaptive version of ABC. In this adaptive version, step size in solution modification and ABC parameter ‘limit’ are set adaptively based on current fitness values. In the present self-adaptive ABC, good solutions are appointed to exploit the search region in their neighbourhood, while worse solutions are appointed to explore the search region. The better solutions are given higher chances to update themselves with the help of parameter ‘limit’, which changes adaptively in the present study. The experiments on 16 unbiased test problems of different complexities show that the proposed strategy outperforms the basic ABC and some recent variants of ABC.
Gasper : Un mode d ’ écriture collaborative pour prévenir les modifications en aveugle

In the last years network connectivity continuously expanded. However, existing collaborative environments were not designed to benefit from the fact that users are connected most of the time. For example, Wiki or version control systems allow users to work in isolation, but they tolerate blind modifications. For instance, users may concurrently perform the same task or they might work on obsolete versions of shared documents. We propose a novel writing mode for avoiding blind modifications by providing real-time information about group activities. Changes performed concurrently are filtered according to user privacy preferences and depicted in their local documents. Key-words: CSCW, Collaborative writing, Blind modifications, Awareness, Synchronous interaction, Asynchronous interaction Gasper: Un mode d’écriture collaborative pour prévenir les modifications en aveugle Résumé : Dûe à la croissance de la connectivité réseau durant ces dernières années, les utilisateurs sont la plupart du temps connectés. Malheureusement, les environnements d’édition collaborative n’ont pas été conçus pour bénéficier de cette connectivité quasi permanente. Ainsi, les systèmes collaboratifs tels que les Wikis ou les gestionnaires de versions permettent à leurs utilisateurs de travailler en isolation, mais dans ce cas, les utilisateurs effectuent des modifications en aveugle, i.e. les utilisateurs peuvent réaliser en parallèle la même tâche ou ils peuvent travailler sur des versions obsolètes des documents partagés. Nous proposons un nouveau mode d’intéraction permettant d’éviter les modifications en aveugle. Ce nouveau mode repose sur l’envoi en temps-réel d’information de conscience de groupe concernant les activités effectuées en parallèle par les membres du groupe. Les modifications réalisées en concurrence par les autres utilisateurs sont dans un premier temps filtrées selon des règles afin de préserver l’intimité et la confidentialité des utilisateurs. Puis, elles sont utilisées pour annoter les copies locales des documents détenues par les autres utilisateurs. Mots-clés : Travail collaboratif, criture collaborative, Modifications en aveugle, Conscience de groupe, intraction synchrone, intraction asynchrone
Meal size and frequency affect neuronal plasticity and vulnerability to disease: cellular and molecular mechanisms

Although all cells in the body require energy to survive and function properly, excessive calorie intake over long time periods can compromise cell function and promote disorders such as cardiovascular disease, type‐2 diabetes and cancers. Accordingly, dietary restriction (DR; either caloric restriction or intermittent fasting, with maintained vitamin and mineral intake) can extend lifespan and can increase disease resistance. Recent studies have shown that DR can have profound effects on brain function and vulnerability to injury and disease. DR can protect neurons against degeneration in animal models of Alzheimer's, Parkinson's and Huntington's diseases and stroke. Moreover, DR can stimulate the production of new neurons from stem cells (neurogenesis) and can enhance synaptic plasticity, which may increase the ability of the brain to resist aging and restore function following injury. Interestingly, increasing the time interval between meals can have beneficial effects on the brain and overall health of mice that are independent of cummulative calorie intake. The beneficial effects of DR, particularly those of intermittent fasting, appear to be the result of a cellular stress response that stimulates the production of proteins that enhance neuronal plasticity and resistance to oxidative and metabolic insults; they include neurotrophic factors such as brain‐derived neurotrophic factor (BDNF), protein chaperones such as heat‐shock proteins, and mitochondrial uncoupling proteins. Some beneficial effects of DR can be achieved by administering hormones that suppress appetite (leptin and ciliary neurotrophic factor) or by supplementing the diet with 2‐deoxy‐d‐glucose, which may act as a calorie restriction mimetic. The profound influences of the quantity and timing of food intake on neuronal function and vulnerability to disease have revealed novel molecular and cellular mechanisms whereby diet affects the nervous system, and are leading to novel preventative and therapeutic approaches for neurodegenerative disorders.
Phased Array Technology: Trends & Developments

This paper gives an overview of developments and projects in the area of electronically steerable antennas at IMST, also commonly called phased arrays. This type of antenna has become a key area since the last years and various projects have been conducted in the past, and are currently ongoing. Phased array antennas incorporate in general active components for performing beam steering, and have achieved ever more popularity during the last years, mainly driven by mobile multimedia applications. The design of phased arrays involves different areas of expertise such as antenna design, feeding networks, beamforming/steering hard/software, RF-components design, signal processing, prototyping and complex measurements. At IMST various R&D projects reflect the broad spectrum of activities with respect to design and development of phased arrays. It is intended to give here an overview of the work performed, and a global technical description.
Dynamic 3D maps and their texture-based design

Three-dimensional maps are fundamental tools for presenting, exploring, and manipulating geo data. This paper describes multiresolution concepts for 3D maps and their texture-based design. In our approach, 3D maps are based on a hybrid, multiresolution terrain model composed of data sets having different topological structure, for example a coarse regular grid combined with by triangulated microstructure. Any number of texture layers can be associated with the terrain model. For each texture layer, the multiresolution structure builds a texture tree which is linked to geometry patches of the multiresolution terrain model. The terrain model together with multiple texture layers can be rendered in real-time, in particular if multitexturing is available. Texture layers can be combined by high-level operations such us blending and masking and can be rebuilt at run-time. This mechanism simplifies the implementation of visual exploration tools and of procedural, automated map designs. 3D maps facilitate the visual simulation of environmental issues in spatial support systems, virtual reality applications, real-time GIS, and interactive cartography.
Intelligent Agent for Information Extraction from Arabic Text without Machine Translation

The process of classifying text into two opposing opinions is known as sentiment polarity classification. It has been shown in the literature that this problem cannot reach accuracy higher than 80-85%. This paper shows that a higher accuracy (96%) can be achieved without the need to translate text into English language. More specifically, our case study is: Islamic Hadith Narration. The problem is to tell whether a person is trustworthy or not based on his biographical data. With such high accuracy, the agent can be used to create new books in the area of Hadith automatically instead of manual classification done before. The results of our experiments encourage the use of an intelligent agent for information extraction using supervised learning, domain knowledge and number of natural language processing techniques.
Cellular Stretch Increases Superoxide Production in the Thick Ascending Limb

Superoxide (O2−) is an important regulator of kidney function. We have recently shown that luminal flow stimulates O2− production in the thick ascending limb (TAL), attributable in part to mechanical factors. Stretch, pressure and shear stress all change when flow increases in the TAL. We hypothesized that stretch rather than shear stress or pressure per se stimulates O2− production by TALs. We measured O2− production in isolated perfused rat TALs using fluorescence microscopy and dihydroethidium. Tubules were perfused with a Na-free solution to eliminate the confounding effect of Na transport. Flow induced an increase in O2− production from 29±4 to 90±8 AU/s (P<0.002; n=5). The response to flow is rapidly reversible. O2− production by TALs perfused at 10 nL/min decreased from 113±6 to 25±10 AU/s (P<0.003; n=4) 15 minutes after flow was stopped. Increasing pressure and stretch in the absence of shear stress caused a significant increase in O2− production (40±6 to 118±17 AU/s; P<0.02; n=5). In contrast, eliminating shear stress had no effect (107±9 versus 108±10 AU/s; n=5). Increasing stretch by 27±2% in the presence of flow while reducing pressure stimulated O2− production from 66±7 to 84±9 AU/s (29±8%; P<0.02; n=5). Tempol inhibited this increase (n=5). We conclude that increasing stretch rather than pressure or shear stress accounts for the mechanical aspect of flow-induced O2− production in the TAL. Stretch of the TAL during hypertension, diabetes, and salt loading may contribute to renal damage.
Jungle Giants: Assessing Sustainable Harvesting in a Difficult-to-Survey Species (Python reticulatus)

Sustainability of wildlife harvests is critical but difficult to assess. Evaluations of sustainability typically combine modelling with the measurement of underlying abundances. For many taxa harvested in developing countries, however, abundances are near-impossible to survey and a lack of detailed ecological information impedes the reliability of models. In such cases, repeated surveys of the attributes of harvested individuals may provide more robust information on sustainability. If the numbers, sizes and other demographic attributes of animals taken for the commercial trade do not change over biologically significant time intervals (decades), there is a prima facie case that the harvest is indeed sustainable. Here, we report the results of examinations of > 4,200 reticulated pythons (Python reticulatus) taken for the commercial leather industry in northern and southern Sumatra, Indonesia. The numbers, mean body sizes, clutch sizes, sizes at maturity and proportion of giant specimens have not decreased between our first surveys (1995) and repeat surveys (2015). Thus, despite assumptions to the contrary, the harvest appears to be sustainable. We use our data to inform the design of future monitoring programs for this species. Our study underpins the need for robust science to inform wildlife trade policy and decision-making, and urges wildlife managers to assess sustainability of difficult-to-survey terrestrial wildlife by drawing inferences directly from the harvest itself.
Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention

Linguistic Inquiry and Word Count (LIWC) is a word counting software tool which has been used for quantitative text analysis in many fields. Due to its success and popularity, the core lexicon has been translated into Chinese and many other languages. However, the lexicon only contains several thousand of words, which is deficient compared with the number of common words in Chinese. Current approaches often require manually expanding the lexicon, but it often takes too much time and requires linguistic experts to extend the lexicon. To address this issue, we propose to expand the LIWC lexicon automatically. Specifically, we consider it as a hierarchical classification problem and utilize the Sequence-to-Sequence model to classify words in the lexicon. Moreover, we use the sememe information with the attention mechanism to capture the exact meanings of a word, so that we can expand a more precise and comprehensive lexicon. The experimental results show that our model has a better understanding of word meanings with the help of sememes and achieves significant and consistent improvements compared with the state-of-the-art methods. The source code of this paper can be obtained from https://github.com/thunlp/Auto_CLIWC.
Learning control policy for parcel singulation

Parcel singulation is one of the key technology in the automated logistics process. In order to manipulate parcels independently, we propose to use sparse actuator array, which has advantages of cost reduction while the control of singulation is difficult because of actuator sharing. In this paper, intuitive control is introduced to make a bundle of parcels lined in order of priority, whose assignment function is learned from massive simulated episodes. Numerical simulation validates the proposed algorithm and the results show that the learning improves the singulation performance.