Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of Algeny and Declaration of a Heretic

In Algeny, Rifkin argues that scientific theories are mere projections onto nature of how societies interact with their natural environment. By elevating their utilization of the environment to the status of a scientific world view, societies justify their use of the environment as "natural. " As social interaction changes with regard to the environment, so does the explanatory world view. Since this is the case, we should be able to look at the new technological advances that change the way we use our environment and predict the corresponding shift in scientific theory. This is how Rifkin takes us from Darwin's Evolution as the major biological paradigm to a new Temporal theory of Evolution based on the integration of computers, cybernetics, and living tissue. It is this new view of nature that results in algeny, the ability to change the essence of a living organism and populate the earth with creatures of our own making.
Cognitive-Behavioral Conjoint Therapy for PTSD: Harnessing the Healing Power of Relationships. Candice M. Monson and Steffany J. Fredman

Over the past several years there has been increased attention to the systemic impact of post-traumatic stress disorder (PTSD). This is important because research suggests PTSD is associated with lower intimate relationship satisfaction (Goff, Crow, Reisbig, & Hamilton, 2007), higher conflict and aggression (Taft et al., 2009), and increased divorce rates (Kessler, Walters, & Forthofer, 1998). Recent meta-analyses confirm that PTSD is associated with intimate relationship problems from the perspective of the survivor (Taft, Watkins, Stafford, Street, & Monson, 2011) and his or her partner (Lambert, Engh, Hasbun, & Holzer, 2012). However, empirically based treatment models for PTSD have focused almost exclusively on the individual. Although a number of these treatments have demonstrated efficacy in symptom reduction, this unfortunately does not appear to translate into improvements in intimate relationship functioning (Monson et al., 2006). For these reasons, Monson and Fredman’s book, Cognitive-Behavioral Conjoint Therapy for PTSD: Harnessing the Healing Power of Relationships, is an important contribution to the field and helps to fill a large gap in the trauma literature. This clinically focused book by Monson and Fredman is structured into two sections; the first provides a rationale and overview for cognitivebehavioral conjoint therapy (CBCT) for PTSD and the second details the session-by-session intervention approach. In Part One, the authors summarize the literature on the impact of varied traumatic events and highlight research that supports the importance of interpersonal relationships for survivors, thus providing important background information for readers not familiar with this area of research. They also provide a synopsis of cognitivebehavioral interpersonal theory for PTSD (Monson, Fredman, & Dekel, 2010), which serves as the theoretical underpinning of the treatment approach. The authors argue PTSD can be explained as a “disorder of impeded
High Tuning Stability of Sampled Grating Quantum Cascade Lasers

Predictable tuning behavior and stable laser operation are both crucial for laser spectroscopy measurements. We report a sampled grating quantum cascade laser (QCL) with high spectral tuning stability over the entire tuning range. We have determined the minimum loss margin required to suppress undesired lasing modes in order to ensure predictable tuning behavior. We have quantified power fluctuations and drift of our devices by measuring the Allan deviation. To demonstrate the feasibility of sampled grating QCLs for high-precision molecular spectroscopy, we have built a simple transmission spectroscopy setup. Our results prove that sampled grating QCLs are suitable light sources for highly sensitive spectroscopy measurements.power arrays of quantum cascade laser master-oscillator power-amplifiers, " Opt. External cavity quantum cascade laser tunable from 7. " Broadband distributed-feedback quantum cascade laser array operating from 8.0 to 9.8 µm, " IEEE Photon. Theory, design, and performance of extended tuning range semiconductor lasers with sampled gratings, " IEEE Jour. Design of sampled grating DBR lasers with integrated semiconductor optical amplifiers, " IEEE Photon. Widely tunable mid-infrared quantum cascade lasers using sampled grating reflectors, " Opt. Extended electrical tuning of quantum cascade lasers with digital concatenated gratings, " Appl. Top grating index-coupled distributed feedback quantum cascade lasers, " Appl. Mode-locked pulses from mid-infrared quantum cascade lasers, " Opt. " 3 W continuous-wave room temperature single-facet emission from quantum cascade lasers based on nonresonant extraction design approach, " Appl. The limits of signal averaging in atmospheric trace gas monitoring by tunable diode laser absorption spectroscopy, " Appl. Ultrasensitive detection of nitric oxide at 5.33 µm by using external cavity quantum cascade laser-based Faraday rotation spectroscopy, " Proc. Natl. Acad. Laboratory, ground-based, and airborne tunable diode laser systems: performance characteristics and applications in atmospheric studies, " Appl.
Comparing the Performance of CERN ’ s httpd and Squid

For many enterprises, web proxies have become a performance critical resource for managing http traffic which at some sites currently doubles every six months. We compare the performance of two popular web proxies, “httpd” and “Squid” at heavy real workloads. In spite of their different architectures and their different complexity, we found that their performance does not differ significantly. This position paper gives an overview of our results which we present in more detail in [5]. The proxies are evaluated on their resource requirements (CPU, memory, and disk I/O), and how these requirements scale with load. The request service time and hit rate are used to evaluate the quality of service each provides.
Depletion of the Chromatin Looping Proteins CTCF and Cohesin Causes Chromatin Compaction: Insight into Chromatin Folding by Polymer Modelling

Folding of the chromosomal fibre in interphase nuclei is an important element in the regulation of gene expression. For instance, physical contacts between promoters and enhancers are a key element in cell-type–specific transcription. We know remarkably little about the principles that control chromosome folding. Here we explore the view that intrachromosomal interactions, forming a complex pattern of loops, are a key element in chromosome folding. CTCF and cohesin are two abundant looping proteins of interphase chromosomes of higher eukaryotes. To investigate the role of looping in large-scale (supra Mb) folding of human chromosomes, we knocked down the gene that codes for CTCF and the one coding for Rad21, an essential subunit of cohesin. We measured the effect on chromosome folding using systematic 3D fluorescent in situ hybridization (FISH). Results show that chromatin becomes more compact after reducing the concentration of these two looping proteins. The molecular basis for this counter-intuitive behaviour is explored by polymer modelling usingy the Dynamic Loop model (Bohn M, Heermann DW (2010) Diffusion-driven looping provides a consistent framework for chromatin organization. PLoS ONE 5: e12218. ). We show that compaction can be explained by selectively decreasing the number of short-range loops, leaving long-range looping unchanged. In support of this model prediction it has recently been shown by others that CTCF and cohesin indeed are responsible primarily for short-range looping. Our results suggest that the local and the overall changes in of chromosome structure are controlled by a delicate balance between short-range and long-range loops, allowing easy switching between, for instance, open and more compact chromatin states.
Comparing the performance analysis of three tank level control system using feedback and feedforward-feedback configuration

A multi tank level control system includes both the example of interacting and non-interacting system. In this system, we have considered three tanks each having equal area and each tank can be assumed as a first order system which are connected in interacting and non-interacting mode. The control system is intended to maintain the level of the third tank at some predefined value irrespective of changes of inflow of first tank. Conventional PID controller is a powerful controller used in process industries to regulate and control process variables. In this paper, we also consider the effect of the disturbance on the response of the system. According to these disturbances, we need to implement feed forward controller with better tuning algorithm. Thus, we implement transfer function of above system and behaviour is observed with step input.
Complexity and Diversity of the NKR-P1:Clr (Klrb1:Clec2) Recognition Systems

The NKR-P1 receptors were identified as prototypical natural killer (NK) cell surface antigens and later shown to be conserved from rodents to humans on NK cells and subsets of T cells. C-type lectin-like in nature, they were originally shown to be capable of activating NK cell function and to recognize ligands on tumor cells. However, certain family members have subsequently been shown to be capable of inhibiting NK cell activity, and to recognize proteins encoded by a family of genetically linked C-type lectin-related ligands. Some of these ligands are expressed by normal, healthy cells, and modulated during transformation, infection, and cellular stress, while other ligands are upregulated during the immune response and during pathological circumstances. Here, we discuss historical and recent developments in NKR-P1 biology that demonstrate this NK receptor–ligand system to be far more complex and diverse than originally anticipated.
Application of Combining Watershed and Fast Clustering Method in Image Segmentation

Watershed algorithm is an image segmentation method based on mathematical morphology, it can realize parallel regional partition and get complete segmentation regionals. Watershed algorithm has sensitive effect on weak edge, but this method easily products the over segmentation which results in the edge line buried in disorderly watershed lineis. To avoid over segmentation produced by watershed segment algorithm, a new image segment algorithm W-SPK (combining watershed and K-means clustering based on simulated annealing particle swarm optimization) is proposed in this paper. W-SPK effectively overcomes the lack of watershed algorithm, and it makes full use of the ability of global optimization of PSO (particle swarm optimization) and the advantage of jumping out local minimum of SA (simulated annealing). The experimental results indicate that W-SPK can not only basically eliminates the over-segmentation problem, but also has the character of fast and efficient clustering. W-SPK is a rapid and accurate method to realize significant image segmentation.
Regularized Least Squares Approximations on the Sphere Using Spherical Designs

We consider polynomial approximation on the unit sphere $\mathbb{S}^2=\{(x,y,z)\in \mathbb{R}^3:x^2+y^2+z^2=1\}$ by a class of regularized discrete least squares methods with novel choices for the regularization operator and the point sets of the discretization. We allow different kinds of rotationally invariant regularization operators, including the zero operator (in which case the approximation includes interpolation, quasi-interpolation, and hyperinterpolation); powers of the negative Laplace--Beltrami operator (which can be suitable when there are data errors); and regularization operators that yield filtered polynomial approximations. As node sets we use spherical $t$-designs, which are point sets on the sphere which when used as equal-weight quadrature rules integrate all spherical polynomials up to degree $t$ exactly. More precisely, we use well conditioned spherical $t$-designs obtained in a previous paper by maximizing the determinants of the Gram matrices subject to the spherical design constra.
Markov random field-based parcellation of the cerebral cortex: application to histology images

The cerebral cortex is composed of regions with a distinct laminar structure. Functional neuroimaging results are often reported with respect to these regions, usually by reference to a standard brain "atlas". Motivated by the need for more precise atlases, we have developed an algorithm that parcellates the cortex into regions of distinct laminar structures. The problem is cast into a segmentation framework and modelled using a Markov random field-based approach. An evaluation of the algorithm on histology images is presented. This technique is presented with a view to producing parcellations on 3D in-vivo magnetic resonance (MR) images of living human subjects.
EFFECT OF THE NUMBER OF SPRINT REPETITIONS ON THE VARIATION OF BLOOD LACTATE CONCENTRATION IN REPEATED SPRINT SESSIONS

The aim of the present study was to examine the effect of number of sprint repetitions on the variation of blood lactate concentration (blood [La]) during different repeated-sprint sessions in order to find the appropriate number of sprint repetitions that properly simulates the physiological demands of team sport competitions. Twenty male team-sport players (age, 22.2 ± 2.9 years) performed several repeated-sprint sessions (RSS) consisting of 1, 2, 3, 4, 5, 9, or 10 repetitions of 30 m shuttle sprints (2 × 15 m) with 30 s recovery in between. The blood [La] was obtained after 3 min of recovery at the end of each RSS. The present study showed that for RSS of 3 sprints (RSS3) there was a high increase (p<0.001) in blood [La], which reached approximately fivefold resting values (9.4±1.7 mmol · l−1) and then remained unchanged for the RSS of 4 and 5 sprints (9.6±1.4 and 10.5±1.9 mmol · l−1, p=0.96 and 0.26, respectively). After RSS9 and RSS10 blood [La] further significantly increased to 12.6 and 12.7 mmol · l−1, p<0.001, respectively. No significant difference was found between RSS3, RSS4 and RSS5 for the percentage of sprint speed decrement (Sdec) (1.5±1.2; 2.0±1.1 and 2.6±1.4%, respectively). There was also no significant difference between RSS9 and RSS10 for Sdec (3.9±1.3% and 4.5±1.4%, respectively). In conclusion, the repeated-sprint protocol composed of 5 shuttle sprint repetitions is more representative of the blood lactate demands of the team sports game intensity.
Types 0 f B 2 B E-Business Model Commonly Used : An Empirical Study On Australian Agribusiness Firms

This paper explores the various B2B e-business models commonly used using in-depth interviews and case studies conducted with Australian agribusiness firms. There is an apparent need to rethink the types of ebusiness models to be adopted as businesses make their transition toward the electronic environment. This is particularly evident in the B2B market where e-business has seen a significant growth. From the analysis, 10 B2B e-business models were identified with seven of them regarded as commonly used by agribusiness firms. Furthermore, rationales on the adoption of these models were also discussed and comparisons were made based on organisational size, industry sector and the current state of e-business model adoption. Introduction The growing importance of e-business has resulted in an increasing number of organisations conducting their business activities in the electronic environment (Kalakota & Robinson 1999). The uptake of ehttp://www.agrifood. info/review/2005/Ng.html (1 of 13)7/03/2006 9:34:08 AM Australasian Agribusiness Review Volume 13, 2005
Blood-brain barrier disruption: mechanistic links between Western diet consumption and dementia

Both obesity and Alzheimer’s disease (AD) are major health burdens in Western societies. While commonly viewed as having separate etiologies, this review highlights data suggesting that intake of “Western diets”, diets high in saturated fatty acids (SFA) and simple carbohydrates, may pose a common environmental risk factor contributing to the development of both of these adverse pathologies. We discuss the effects of Western Diet intake on learning and memory processes that are dependent on the hippocampus, as well as the importance of this brain region in both obesity development and the onset of Alzheimer’s and other dementias. A putative mechanism is discussed that mechanistically links Western diet consumption, blood brain barrier (BBB) degradation, and subsequent hippocampal damage and dementia pathology.
A Unified Scheduler for Recursive and Task Dataflow Parallelism

Task dataflow languages simplify the specification of parallel programs by dynamically detecting and enforcing dependencies between tasks. These languages are, however, often restricted to a single level of parallelism. This language design is reflected in the runtime system, where a master thread explicitly generates a task graph and worker threads execute ready tasks and wake-up their dependents. Such an approach is incompatible with state-of-the-art schedulers such as the Cilk scheduler, that minimize the creation of idle tasks (work-first principle) and place all task creation and scheduling off the critical path. This paper proposes an extension to the Cilk scheduler in order to reconcile task dependencies with the work-first principle. We discuss the impact of task dependencies on the properties of the Cilk scheduler. Furthermore, we propose a low-overhead ticket-based technique for dependency tracking and enforcement at the object level. Our scheduler also supports renaming of objects in order to increase task-level parallelism. Renaming is implemented using versioned objects, a new type of hyper object. Experimental evaluation shows that the unified scheduler is as efficient as the Cilk scheduler when tasks have no dependencies. Moreover, the unified scheduler is more efficient than SMPSS, a particular implementation of a task dataflow language.
Design and Implementation of Intelligent Surge Controller for Modern Turbo Charged Automobiles

The destructive surge transient response is an expected phenomenon on a turbo charged automobile. Therefore a new intelligent controller to prevent the surge phenomenon to prolong the life cycle of modern turbo charged automobiles is proposed in this paper. In order to do so, the surge boundary for a particular turbo charger in a specific automobile must be determined first. A new systematic way without performing a real experiment to find the surge boundary is therefore proposed in this paper. The modeling of the turbo charged system is first discussed with Moore-Greitzer model with the new finding of determining the Helmholtz frequencies on the compressor load curves (CLCs) on the compressor map diagram. By substituting the real physical parameters of SAAB NG 900 into the modeling equation, the manufacturer’s surge boundary and real surge boundary for all turbo charged automobiles can be accurately verified. These new results are immediately adopted in this paper to design an intelligent surge controller to minimize the risk of surge phenomenon in a turbo charger automobile. This new intelligent surge controller has the capability to maintain a certain pressure to bypass the surge boundary with minimum pressure release. Excellent real-time experimental results have been obtained to validate that our new approach is very effective. This will have decent applications in modern turbo charged intelligent automobiles.
Layered probability maps: basic framework and prototype system

We propose an image-based rendering method called"layered prob-ability mapping. " The algorithm requires modest computer power, but produces high-quality output images even from textureless or noisy input images. Thus, real-time applications such as immersive teleconferencing and live broadcasting are promising areas of use. The key idea is layered probability map (LPM) representation using a set of two-dimensional probabilistic functions. This accommodates ambiguities regarding object depth. To test the feasibility of this method, we developed a prototype system with nine synchronized cameras and a thirteen-PC cluster. By calculating the algorithm in parallel, stable 5-15fps image generation has been achieved without any off-line procedures between the image capture and display.
An Architecture for Peer-to-peer Reasoning

Similar to the current Web, the key to realizing the Semantic Web is scale. Arguably, to achieve this, we need a good balance between participation cost and perceived benefit. The major obstacles lie in coping with large numbers of ontologies, authors and physical hosts, inconsistent or inaccurate statements and the large volume of instance data. Our focus is on scalability through distribution. Most current approaches split ontologies into triples and distribute them among peers participating in a structured peer-to-peer overlay. Identifying a series of drawbacks with this, we propose an alternative model where each peer maintains control of its ontologies.
A Novel Object Detection Approach for Satellite Imagery Based on Danger Theory

This paper discusses the relationship between Danger Theory and image object detection, and interprets the produce of the image object detection using Danger Theory. In the paper, the image object detection is mimiced as the produce that biology immune system detects danger antigens, where the interested object are regarded as ldquodanger antigensrdquo and object detectors are regarded as antigen present cells. The architecture of Danger Perception Network (DPNET) and learning algorithms are described in the paper, and the approach of applying Danger Theory in image target detection is also presented. Experiments of vehicle and airplane detection in high resolution satellite images are given to illustrate the feasibility and effectively of proposed method.
A Lipid Transfer Protein Increases the Glutathione Content and Enhances Arabidopsis Resistance to a Trichothecene Mycotoxin

Fusarium head blight (FHB) or scab is one of the most important plant diseases worldwide, affecting wheat, barley and other small grains. Trichothecene mycotoxins such as deoxynivalenol (DON) accumulate in the grain, presenting a food safety risk and health hazard to humans and animals. Despite considerable breeding efforts, highly resistant wheat or barley cultivars are not available. We screened an activation tagged Arabidopsis thaliana population for resistance to trichothecin (Tcin), a type B trichothecene in the same class as DON. Here we show that one of the resistant lines identified, trichothecene resistant 1 (trr1) contains a T-DNA insertion upstream of two nonspecific lipid transfer protein (nsLTP) genes, AtLTP4.4 and AtLTP4.5. Expression of both nsLTP genes was induced in trr1 over 10-fold relative to wild type. Overexpression of AtLTP4.4 provided greater resistance to Tcin than AtLTP4.5 in Arabidopsis thaliana and in Saccharomyces cerevisiae relative to wild type or vector transformed lines, suggesting a conserved protection mechanism. Tcin treatment increased reactive oxygen species (ROS) production in Arabidopsis and ROS stain was associated with the chloroplast, the cell wall and the apoplast. ROS levels were attenuated in Arabidopsis and in yeast overexpressing AtLTP4.4 relative to the controls. Exogenous addition of glutathione and other antioxidants enhanced resistance of Arabidopsis to Tcin while the addition of buthionine sulfoximine, an inhibitor of glutathione synthesis, increased sensitivity, suggesting that resistance was mediated by glutathione. Total glutathione content was significantly higher in Arabidopsis and in yeast overexpressing AtLTP4.4 relative to the controls, highlighting the importance of AtLTP4.4 in maintaining the redox state. These results demonstrate that trichothecenes cause ROS accumulation and overexpression of AtLTP4.4 protects against trichothecene-induced oxidative stress by increasing the glutathione-based antioxidant defense.