Miracle-dz/UniFAR-FTUs huggingface dataset:
Movement of Tribolium castaneum (Coleoptera: Tenebrionidae) Adults in Response to Temperature Gradients in Vertical and Horizontal Wheat and Corn Columns

Abstract The movement and redistribution of adult Tribolium castaneum (Herbst) in stored grain provide important information for detection of insect pests and for simulations of their distribution in grain bins. Movement and redistribution of T. castaneum adults in 1 or 6 d and in wheat or corn were determined in a 100 by 100 by 1000-mm acrylic box with a 10°C/m temperature gradient (from 20 to 30°C) or at a uniform temperature (20, 25, and 30°C). In a vertical corn column with a uniform temperature, ≈15 and 25% of adults moved to the top or bottom section in 6 d, respectively; and <30% of adults were recovered in 1-d movement in the middle two sections where insects were initially introduced. In a horizontal or vertical wheat column, >90% of the adults were recovered in the two middle sections where insects were introduced after 6 d. Adults responded to the temperature gradient and preferred the warmer areas in both wheat and corn. The slower movement in wheat is probably caused by the small granular space in bulk wheat than in bulk corn.
Optimal power flow based congestion management using enhanced genetic algorithms

Congestion management (CM) in the deregulated power systems is germane and of central importance to the power industry. In this paper, an optimal power flow (OPF) based CM approach is proposed whose objective is to minimize the absolute MW of rescheduling. The proposed optimization problem is solved with the objectives of total generation cost minimization and the total congestion cost minimization. In the centralized market clearing model, the sellers (i.e., the competitive generators) submit their incremental and decremental bid prices in a real-time balancing market. These can then be incorporated in the OPF problem to yield the incremental/ decremental change in the generator outputs. In the bilateral market model, every transaction contract will include a compensation price that the buyer-seller pair is willing to accept for its transaction to be curtailed. The modeling of bilateral transactions are equivalent to the modifying the power injections at seller and buyer buses. The proposed CM approach is solved by using the evolutionary based Enhanced Genetic Algorithms (EGA). IEEE 30 bus system is considered to show the effectiveness of proposed CM approach.
Abstract : Gratification Delay and Parenting Behaviour : A Study on Pre-School Children

Gratification Delay and Parenting Behaviour: A Study on Pre-School Children Ashi Makkar* Bhavana Arya** 060 About Authors : *Dept. of Psychology, ICG-The IIS University, Jaipur **Asst. Professor, Dept. of Psychology, ICG-The IIS University, Jaipur
Effect of Osteoporosis on Morphology and Mobility of the Lumbar Spine

Study Design. Cross-sectional study. Objective. The purpose of this study was to examine disc morphology and spinal mobility in subjects with varying degrees of osteoporosis. Summary of Background Data. There was limited information on the effect of osteoporosis on lumbar morphology and spinal mobility. It was also unclear how osteoporosis affects the nonosseous tissues such as the intervertebral disc. Methods. Ninety elderly subjects with varying bone mineral densities (22 normal, 28 osteopenia, 40 osteoporosis) were recruited from an osteoporosis clinic. Lateral radiographs and magnetic resonance images of their lumbar spines were obtained. An electromagnetic tracking device was employed to measure the ranges of motion of the whole lumbar spine. Results. Although the thoracic spine had been shown to have decreased anterior vertebral body height in subjects with osteoporosis, this study revealed that the anterior height was increased in the lumbar region. Osteoporosis was associated with expansion of the middle of the disc with corresponding collapse of vertebral bodies, but osteoporosis was found not to be related to either disc preservation or degeneration. No significant change in spinal mobility was observed in patients with osteoporosis. Conclusion. Osteoporosis does not only affect the bone but also the nonosseous tissues. It was found to be associated with expansion of the intervertebral disc, which was likely to be secondary to changes in the vertebral endplate.
Distributed Multi-Robot Navigation in Formation among Obstacles : A Geometric and Optimization Approach with Consensus

This paper presents a distributed method for navigating a team of robots in formation in 2D and 3D environments with static and dynamic obstacles. The robots are assumed to have a reduced communication and visibility radius and share information with their neighbors. Via distributed consensus the robots compute (a) the convex hull of the robot positions and (b) the largest convex region within free space. The robots then compute, via sequential convex programming, the locally optimal parameters for the formation within this convex neighborhood of the robots, allowing for reconfigurations, when required, by considering a set of target formations. The robots navigate towards the target collision-free formation with individual local planners that account for their dynamics. The approach is efficient and scalable with the number of robots and performs well in simulations.
Supporting Pluggable Configuration Algorithms in PCOM

Pervasive computing envisions distributed applications that optimally leverage the resources present in their ever-changing execution environment. To ease the development of pervasive applications, we have created a pervasive component system (PCOM). PCOM automates the configuration and runtime adaptation of a component-based application using a built-in distributed configuration algorithm. In this paper, we present an architectural extension that allows switching between different algorithms. This enables PCOM to dynamically select an algorithm that suits the computational resources present in an environment. To validate the extended architecture, we compare the overheads of a distributed and a centralized configuration algorithm in two different environments
Identification of a SulP-type bicarbonate transporter in marine cyanobacteria

Cyanobacteria possess a highly effective CO2-concentrating mechanism that elevates CO2 concentrations around the primary carboxylase, Rubisco (ribulose-1,5-bisphosphate carboxylase/oxygenase). This CO2-concentrating mechanism incorporates light-dependent, active uptake systems for CO2 and HCO–3. Through mutant studies in a coastal marine cyanobacterium, Synechococcus sp. strain PCC7002, we identified bicA as a gene that encodes a class of HCO–3 transporter with relatively low transport affinity, but high flux rate. BicA is widely represented in genomes of oceanic cyanobacteria and belongs to a large family of eukaryotic and prokaryotic transporters presently annotated as sulfate transporters or permeases in many bacteria (SulP family). Further gain-of-function experiments in the freshwater cyanobacterium Synechococcus PCC7942 revealed that bicA expression alone is sufficient to confer a Na+-dependent, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} \begin{equation*}{\mathrm{HCO}}_{3}^{-}\end{equation*}\end{document} uptake activity. We identified and characterized three cyanobacterial BicA transporters in this manner, including one from the ecologically important oceanic strain, Synechococcus WH8102. This study presents functional data concerning prokaryotic members of the SulP transporter family and represents a previously uncharacterized transport function for the family. The discovery of BicA has significant implications for understanding the important contribution of oceanic strains of cyanobacteria to global CO2 sequestration processes.
Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts

Nanoparticles in a biological fluid (plasma, or otherwise) associate with a range of biopolymers, especially proteins, organized into the “protein corona” that is associated with the nanoparticle and continuously exchanging with the proteins in the environment. Methodologies to determine the corona and to understand its dependence on nanomaterial properties are likely to become important in bionanoscience. Here, we study the long-lived (“hard”) protein corona formed from human plasma for a range of nanoparticles that differ in surface properties and size. Six different polystyrene nanoparticles were studied: three different surface chemistries (plain PS, carboxyl-modified, and amine-modified) and two sizes of each (50 and 100 nm), enabling us to perform systematic studies of the effect of surface properties and size on the detailed protein coronas. Proteins in the corona that are conserved and unique across the nanoparticle types were identified and classified according to the protein functional properties. Remarkably, both size and surface properties were found to play a very significant role in determining the nanoparticle coronas on the different particles of identical materials. We comment on the future need for scientific understanding, characterization, and possibly some additional emphasis on standards for the surfaces of nanoparticles.
Solving #SAT and MAXSAT by Dynamic Programming

We look at dynamic programming algorithms for propositional model counting, also called #SAT, and MaxSAT. Tools from graph structure theory, in particular treewidth, have been used to successfully identify tractable cases in many subfields of AI, including SAT, Constraint Satisfaction Problems (CSP), Bayesian reasoning, and planning. In this paper we attack #SAT and MaxSAT using similar, but more modern, graph structure tools. The tractable cases will include formulas whose class of incidence graphs have not only unbounded treewidth but also unbounded clique-width. We show that our algorithms extend all previous results for MaxSAT and #SAT achieved by dynamic programming along structural decompositions of the incidence graph of the input formula. We present some limited experimental results, comparing implementations of our algorithms to state-of-the-art #SAT and MaxSAT solvers, as a proof of concept that warrants further research.
Broadening the future of value account of the wrongness of killing

On Don Marquis’s future of value account of the wrongness of killing, ‘what makes it wrong to kill those individuals we all believe it is wrong to kill, is that killing them deprives them of their future of value’. Marquis has recently argued for a narrow interpretation of his future of value account of the wrongness of killing and against the broad interpretation that I had put forward in response to Carson Strong. In this article I argue that the narrow view is problematic because it violates some basic principles of equality and because it allows for some of the very killing that Marquis sets out to condemn; further, I argue that the chief reason why Marquis chooses the narrow view over the broad view—namely that the broad view would take the killing of some non-human animals to be also wrong—should rather be considered a welcome upshot of the broad view.
Semantic Querying of Data Guided by Formal Concept Analysis

In this paper we present a novel approach to handle querying over a concept lattice of documents and annotations. We focus on the problem of "non-matching documents", which are those that, despite being semantically relevant to the user query, do not contain the query's elements and hence cannot be retrieved by typical string matching approaches. In order to find these documents, we modify the initial user query using the concept lattice as a guide. We achieve this by identifying in the lattice a formal concept that represents the user query and then by finding potentially relevant concepts, identified as such through the proposed notion of cousin concepts. Finally, we use a concept semantic similarity metric to order and present retrieved documents. The main contribution of this paper is the introduction of the notion of cousin concepts of a given formal concept followed by a discussion on how this notion is useful for lattice-based information indexing and retrieval.
A HYBRID METHOD FOR USER PROFILE PERSONALIZATION

Web usage mining is the type of web mining techniques to web click stream data in order to extract usage patterns. More researchers have developed Web usage mining (WUM) algorithms utilize Web log records to evolving and extracting useful information to be used in supporting business aspects and decision making. Web usage mining is useful to track the user’s behavior. This work finds patterns from large Web log files from the real world demanding aspects. Web usage mining, includes evolve user history and ontology based Web content. Using the current algorithm we can identify only “Who” the users are “Where” they looked and “What” is the time consumption . The latest use algorithm is H-UNC approach (Unsupervised Niche Clustering (UNC), is a multivariate dataset based on clustering. However the Pure GAs is not well suitable to fine-tuning solutions that are close to optima, and this result in their having a long runtime. To improve the search efficiency, this Research incorporate local searches into the regeneration step of GAs, create the so-called MAs (Mimetic Algorithm), is essential if competitive GAs are to be used. This process should consider all the previous works from client side data. This unsupervised niche clustering successfully find clusters in feature space and determines the cluster automatically. This research also extends the previous work with semantic based approach.
Enabling the Use of Earth Observation Data for Integrated Water Resource Management in Africa with the Water Observation and Information System

The Water Observation and Information System (WOIS) is an open source software tool for monitoring, assessing and inventorying water resources in a cost-effective manner using Earth Observation (EO) data. The WOIS has been developed by, among others, the authors of this paper under the TIGER-NET project, which is a major component of the TIGER initiative of the European Space Agency (ESA) and whose main goal is to support the African Earth Observation Capacity for Water Resource Monitoring. TIGER-NET aims to support the satellite-based assessment and monitoring of water resources from watershed to cross-border basin levels through the provision of a free and powerful software package, with associated capacity building, to African authorities. More than 28 EO data processing solutions for water resource management tasks have been developed, in correspondence with the requirements of the participating key African water authorities, and demonstrated with dedicated case studies utilizing the software in operational scenarios. They cover a wide range of themes and information products, including basin-wide characterization of land and water resources, lake water quality monitoring, hydrological modeling and flood forecasting and mapping. For each monitoring task, step-by-step workflows were developed, which can either be adjusted by the user or largely automatized to feed into existing data streams and reporting schemes. The WOIS enables African water authorities to fully exploit the increasing EO capacity offered by current and upcoming generations of satellites, including the Sentinel missions.
A prospective examination of the impact of high levels of exercise training on sedentary behaviour

Abstract The aim of this study is to determine changes in sedentary behaviour in response to extensive aerobic exercise training. Participants included adults who self-selected to run a marathon. Sedentary behaviour, total activity counts and physical activity (PA) intensity were assessed (Actigraph GT3X) for seven consecutive days during seven assessment periods (−3, −2, and −1 month prior to the marathon, within 2 weeks of the marathon, and +1, +2, and +3 months after the marathon). Models were fitted with multiple imputation data using the STATA mi module. Random intercept generalized least squares (GLS) regression models were used to determine change in sedentary behaviour with seven waves of repeated measures. Results: Twenty-three individuals (mean ± Sx: 34.4 ± 2.1y, 23.0 ± 1.9% fat, 15 women, 8 men) completed the study. Marathon finishing times ranged from 185 to 344 minutes (253.2 ± 9.6 minutes). Total counts in the vertical axis were 1,729,414 lower one month after the race, compared with two months prior to the race (peak training). Furthermore, counts per minute decreased by 252.7 counts·minute−1 during that same time period. Daily sedentary behaviour did not change over the seven assessment periods, after accounting for age, gender, per cent body fat, wear time, marathon finishing time, and previous marathon experience. This prospective study supports the notion that PA and sedentary behaviours are distinct, showing that sedentary behaviour was not impacted by high levels of aerobic training.
A Set-Pair Analysis Method Based on Grey System Theory

The expression forms of uncertainty are various in true lives. Research and processing of the uncertainty are a much important question which is not only faced currently by many subjects but also must be resolved. Among the numerous methods, the Grey System theory and Set Pair Analysis are newly evolved and acquire broad applications in many fields. The paper utilizes the grey system theory to process the poor information questions existed in the prediction of set-pair analysis. The innovations in this paper lies in: 1) propose a kind of entropy transform method ; 2) bring forward a kind of whitening method based on fuzzy set-valued statistics; 3) improve the AGO method and provide a kind of Increase accumulated generating operation. The method is applied to predict the performance of human resource and displays good effect.
Influence of Maceration Temperature in Red Wine Vinification on Extraction of Phenolics from Berry Skins and Seeds of Grape (Vitis vinifera)

The extraction of phenolics from berry skins and seeds of the grape, Vitis vinifera cv. Cabernet Sauvignon, during red wine maceration and the influence of different temperature conditions (cold soak and/or heating at the end of maceration) were examined. Phenolics contained mainly in berry skins, viz., anthocyanin, flavonol, and epigallocatechin units within proanthocyanidins, were extracted during the early stage of maceration, whereas those in seeds, viz., gallic acid, flavan-3-ol monomers, and epicatechin-gallate units within proanthocyanidins, were gradually extracted. In addition to their localization, the molecular size and composition of the proanthocyanidins possibly influenced the kinetics of their extraction. Cold soak reduced the extraction of phenolics from the seeds. Heating at the end of maceration decreased the concentration of proanthocyanidins. Thus, modification of the temperature condition during maceration affected the progress of the concentration of phenolics, resulting in an alteration of their make-up in the finished wine.
Automated Contextual Annotation of B-Rep Cad Mechanical Components Deriving Technology and Symmetry Information to Support Partial Retrieval

Mechanical components are often related to technological meaning: it is a screw, a ball bearing, . Technological meaning relates to the notion of function which, in turn, refers to the environment of a component. Here, it is shown how a digital mock-up contextualizing a set of components is used to annotate its components with technological information. This information is derived from the interfaces between components. Interfaces together with the concept of state of a digital mock-up initiate annotations of components with functional information. Symmetries of components is a complementary information that can contribute to a query. Local rotational symmetry is analyzed and adapted to the context of mechanical components. Then, combining these two categories of information enables the generation of high level queries addressing a subset of a component boundary. Technological as well as symmetry informations are component annotations automatically derived from the digital mock-up analysis and from components analyzed separately.
A framework for Outdoor Mobile Augmented Reality

Augmented reality (AR) presents a particularly powerful user interface (UI) to context-aware computing environments. AR systems integrate virtual information into a person's physical environment so that he or she can get the latest information about the environment. In a limited mobile platform we propose a framework for outdoor augmented reality which covers the main problems of limited resources in mobile, such as server dependency for data management or processing and network latency.
A Mobile Sensing Approach to Stress Detection and Memory Activation for Public Bus Drivers

The experience of daily stress among bus drivers has shown to affect physical and psychological health, and can impact driving behavior and overall road safety. Although previous research consistently supports these findings, little attention has been dedicated to the design of a stress detection method able to synchronize physiological and psychological stress responses of public bus drivers in their day-to-day routine work. To overcome this limitation, we propose a mobile sensing approach to detect georeferenced stress responses and facilitate memory recall of the stressful situations. Data were collected among public bus drivers in the city of Porto, Portugal (145 h, 36 bus drivers, +2300 km), and results supported the validation of our approach among this population and allowed us to determine specific stressor categories within certain areas of the city. Furthermore, data collected throughout the city allowed us to produce a citywide “stress map” that can be used for spotting areas in need of local authority intervention. The enriching findings suggest that our system can be a promising tool to support applied occupational health interventions for public bus drivers and guide authorities' interventions to improve these aspects in “future” cities.
Design and Motion Analysis of a Wheel-walking Bionic Soft Robot

： Based on the movement model and the structural characteristics of worms, a bionic wheel-walking squirming soft robot with a double-cavity structure is proposed. The main body of the soft robot is made of hyperelastic silicon rubber, and its multi-air-bag structures would expand and extrude each other to bend the robot body when air at a certain pressure is pumped into the air bags. The inchworm-like peristaltic movement of the soft robot is realized by periodically charging and releasing air. In addition, the peristaltic motion of the soft robot is changed into rotational motion of the wheels to accelerate its moving speed because of the ingenious wheel-walking device. And a large angle turn can be achieved by fill the two chambers with air of different pressure. The periodic motion and steering movement of the squirming robot are analyzed. the nonlinear mechanical properties of the robot are studied. The relationship between the deformation and the pressure is tested when the two cavities are filled with air of same pressure. And the relationship the turning angle and the pressure is also tested when the single cavity is inflated. The maximum moving speed and the minimum turning radius of the soft robot are analyzed. Based on the results above, the motion performance of the soft robot is determined.