Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Human Poses from Actions-Supplementary Material

We represent the prediction distribution using a DISCO Net, which we denote by Prw, w being the parameter of the network. Similarly, we represent the conditional distribution using a set of DISCO Nets, which we denote by Prθ . The set of parameters for the conditional networks is denoted by θ . We compute samples from the prediction network as {hk ,k = 1, · · · ,K}, and samples from conditional network as {h′θ k ,k = 1, · · · ,K} for a given training sample. The unbiased estimated value of the learning objective (Equation (5) of the main paper) can be written as follows:
Histopathological spectrum of meningioma and its variants

Background: Meningiomas are tumors that arise from the lepto meningeal covering of brain and spinal cord, accounting for upto 34% of all CNS tumors. Mostly meningiomas are slow growing and are generally considered benign tumors. Meningiomas usually clinically evident in middle aged. Histopathological examination and grading of meningiomas give valuable prognostic information. Known risk factors for recurrence include histological malignancy grade, sub total resection, young age, specific sub types, brain infiltration and high proliferative rate. Aim: To study histopathological spectrum of meningiomas and its variants. Materials and methods: It is a Prospective study of 19 cases with meningiomas have been studied for a period of 1 year . Results :. Most common age group between 40-60-yrs . Male:Female -1:4. Out of 121 CNS lesions during the study period 19 cases were reported as Meningiomas which accounts for 17% of CNS lesions. Out of 19 cases, majority were benign 89.6% , Atypical 5.2% and Anaplastic 5.2% of meningiomas.Atypical meningiomas comprise between 4.7% and 7.2% of meningiomas,although using more current definition it has been reported in up to 20%. Conclusion: Continuous revision of histopathological classification systems is required to improve the diagnostic accuracy.
Seasonal influence on semen traits and freezability from locally adapted Curraleiro bulls

Studies were conducted to characterize the effect of season of the year on testicular morphology, fresh and frozen/thawed semen quality from Curraleiro (Pé-duro) bulls in the Brazilian Central west region. Five adult, healthy bulls underwent an andrological examination and semen collection using an electroejaculator, once a month for a year. Fresh and thawed semen were evaluated for progressive sperm motility and sperm vigor, sperm morphology and acrosomal integrity. Testicular length and volume were less (P < 0.05) in April than in the other months of the year. For fresh semen, the ejaculate in April had less volume and sperm concentration (P < 0.05), while sperm vigor was less (P < 0.05) in June, increasing in January and February. With the frozen/thawed semen, the proportion of sperm was greater (P < 0.05) in April to July, decreasing from October to December. Semen collected in December had the greatest (P < 0.05) proportion of major defects while that collected in February/March had the highest proportion of minor defects. The proportion of live intact sperm reduced progressively from December to April/May. The marginal influence of the time of the year on testicular biometry and fresh semen in Curraleiro bulls shows the adaptation of this breed to the environmental conditions in the region. Thus, reproduction with natural mating should be successful at any time of year. For frozen semen collection for conservation programs, the best time of year is from June to September. Published by Elsevier B.V.
On Evolutionary Ecology, Selectionist Archaeology, and Behavioral Archaeology

To promote a dialogue between competing but potentially compatible approaches in American archaeology, Schiffer (1996) examined the relationships between two distinct research programs: "behavioral" archaeology and evolutionary archaeology. An approach grounded in evolutionary ecology was not included in that analysis. In this paper, we reply to Schiffer's call for dialogue by outlining the relationships, as we see them, between evolutionary ecology, selectionist archaeology, and behavioral archaeology. We conclude that evolutionary ecology holds the greatest promise as a scientific approach for the investigation of important problems in human behavioral evolution.
Differential Expressions of Apoptosis-related Genes in Lung Cancer Cell Lines Determine the Responsiveness to Ionizing Radiation

Radiotherapy would be the choice of treatment for human cancers, because of high cost-effectiveness. However, a certain population of patients shows a resistance to radiotherapy and recurrence. In an effort to increase the efficacy of radiotherapy, many efforts were driven to find the genes causing the unresponsiveness to ionizing radiation. In this paper, we compared the gene expression profiles of two lung cancer cell lines, H460 and H1299, which showed differential responses to ionizing radiations. Each cell were irradiated at 2 Gy, and harvested after 0, 2, 4, 8, 12 and 24 hours to examine the expressions. Two-way ANOVA analysis on time-series experiments of two cells could select 2863 genes differentially expressed upon ionizing radiation among 32,321 genes in microarray (p＜0.05). We classified these genes into 21 clusters by SOM clustering according to the interaction between cell types and time. Two SOM clusters were enriched with apoptosis-related genes in pathway analysis. One cluster contained higher levels of phosphatidyl inositol 3-phosphate kinase (PI3K) subunits in H1299, radio-resistant cells than H460, radiosensitive cells. TRAIL receptors were expressed in H460 cells while the decoy receptor for TRAIL was expressed in H1299 cells. From these results, we could characterize the differential responsiveness to ionizing radiation according to their differential expressions of apoptosis-related genes, which might be the candidates to increase the power of radiotherapy.
Static Timing Analysis Based Transformations of Super-Complex Instruction Set Hardware Functions

Application specific hardware implementations are an increasingly popular way of reducing execution time and power consumption in embedded systems. This application specific hardware typically consumes a small fraction of the execution time and power consumption that the equivalent software code would require. Modern electronic design automation (EDA) tools can be used to apply a variety of transformations to hardware blocks in an effort to achieve additional performance and power savings. A number of such transformations require a tool with knowledge of the designs' timing characteristics. This thesis describes a static timing analyzer and two timing analysis based design automation tools. The static timing analyzer estimates the worst-case timing characteristics of a hardware data flow graph. These hardware data flow graphs are intermediate representations generated within a C to VHDL hardware acceleration compiler. Two EDA tools were then developed which utilize static timing analysis. An automated pipelining tool was developed to increase the throughput of large blocks of combinational logic generated by the hardware acceleration compiler. Another tool was designed in an attempt to mitigate power consumption resulting from extraneous combinational switching. By inserting special signal buffers, known as delay elements, with preselected propagation delays, combinational functional units can be kept inactive until their inputs have stabilized. The hardware descriptions generated by both tools were synthesized, simulated, and power profiled using existing commercial EDA tools. The results show that pipelining leads to an average performance increase of 3.3x, while delay elements saved between 25% and 33% of the power consumption when tested on a set of signal and image processing benchmarks.
Recognition of the Stacked Objects for Bin Picking

Abstract In this paper, we propose recognition method of the stacked objects for pick-and-place motion. The situation that the objects are stacked miscellaneously in the home is assumed. In the home, the equipment to arrange the objects doesn’t exist. Therefore it’s necessary to recognize the stacked objects respectively. In this paper, Information on the objects are measured by a laser range finder (LRF). Those information is used as 3-D point cloud, and the objects are recognized by model-base. A local minimum problem exists in recognition of the objects. We propose the method to recognize the stacked objects statistically using multiple recognition result. Avoidance of the local minimum problem and the segmentation of each objects are performed by recognizing statistically.
Drought stress responses of seedlings of two oak species ( Quercus cerris and Quercus robur )

Effects of drought stress on growth, predawn xylem water potential (ψ pd ), osmotic solutes (soluble sugar and proline), and stomatal conductance were assessed in two oak ( Quercus cerris L. and Quercus robur L.) seedlings. Seedlings of both species were subjected to three drought treatments with the following irrigation intervals: well-watered (control: irrigation every 2-3 days), moderate drought stress (irrigation every 15 days), and severe drought stress (irrigation every 30 days). Drought-stressed seedlings of Q. cerris and Q. robur had more negative predawn xylem water potential than their well-watered seedlings. In Q. cerris , root collar diameter and root dry weights were negatively influenced by drought, while height, shoot dry weight, and root:shoot ratios were unaffected. Height and shoot dry weight of drought-stressed Q. robur were decreased, while root:shoot ratio increased. Drought caused significant decreases in stomatal conductance of both species. Q. cerris seedlings sustained higher stomatal conductance compared with Q. robur . Proline and soluble sugar increased in response to drought stress. Q. robur had a higher proline accumulation than Q. cerris . These findings suggested that the Q. cerris and Q. robur seedlings showed a drought stress adaptive mechanism either by restricting their growth or increasing root:shoot ratio or by decreasing water loss (reduced stomatal conductance) and accumulating of osmotic solutes.
of Advanced Robotic Systems Hand Motion-Based Remote Control Interface with Vibrotactile Feedback for Home Robots Regular Paper

This paper presents the design and implementation of a hand-held interface system for the locomotion control of home robots. A handheld controller is proposed to implement hand motion recognition and hand motion-based robot control. The handheld controller can provide a ‘connect-and-play’ service for the users to control the home robot with visual and vibrotactile feedback. Six natural hand gestures are defined for navigating the home robots. A three-axis accelerometer is used to detect the hand motions of the user. The recorded acceleration data are analysed and classified to corresponding control commands according to their characteristic curves. A vibration motor is used to provide vibrotactile feedback to the user when an improper operation is performed. The performances of the proposed hand motion-based interface and the traditional keyboard and mouse interface have been compared in robot navigation experiments. The experimental results of home robot navigation show that the success rate of the handheld controller is 13.33% higher than the PC based controller. The precision of the handheld controller is 15.4% more than that of the PC and the execution time is 24.7% less than the PC based controller. This means that the proposed hand motion-based interface is more efficient and flexible.
Chemical characterization of Cinachyrella tarentina: Sponge of Atlantic Moroccan Coast

Currently, marine organisms are a very important source of new molecules in pharmacology and thus in the development of new bioactive products. Sponges, in particular, given their very primitive origin and persistence during evolution, have developed a chemical defense system.The chemical study of Cinachyrella tarentina, marine sponge recognized by its antibacterial and antifungal activity was investigated for the first time in Morocco. The screening of Cinachyrella tarentina revels that it contains different levels of primary and secondary metabolites. The dosage of polyphenols was carried out using the reagent Foulin-Ciocalteu. The antioxidant activity was evaluated by the DPPH test. The fatty acid composition determined by Gas chromatography-mass spectrometry (GC/MS) showed a predominance of palmitic and stearic acids. Furthermore, we found the presence of several sterols which cholesterol and sitosterol are the most abundants.
Effects of fluid therapy on total protein and its influence on calculated unmeasured anions in the anesthetized dog

Objective – To determine the effects of IV lactated Ringer's solution at a rate of 10 mL/kg/h in anesthetized dogs on total protein (TP) measurement and calculation of unmeasured anions (UAs) using 2 quantitative methods of acid-base status determination, strong ion gap, and modified base deficit. Design – Prospective clinical study. Animals – Forty-three dogs, anesthetic health status I or II according to the American Society of Anesthesiologists, undergoing surgery under general anesthesia. Interventions – Arterial blood analyses for gas tensions, acid-base balance, electrolytes, lactate, hemoglobin (Hb), PCV, and TP were performed under general anesthesia immediately after induction and again after administration of approximately 10 mL/kg of lactated Ringer's solution (given over 1 h). UAs were determined using strong ion gap and modified base deficit. Measurements and Main Results – Fluid replacement for 1 hour decreased TP, Hb, and PCV by 8%, 7.8%, and 8.6%, respectively. The degree of decrease in TP did not impact the calculation of UAs by quantitative methods when the prefluid administration TP value was used instead of the postfluid TP value in the calculation. Comparison of the two methods showed a low correlation (r≤0.68) and marked differences in the precision (1.96 SD). Conclusions: The degree of decrease in TP after 1 hour of fluid replacement at approximately 10 mL/kg does not affect determination of UAs when prefluid TP is used within that time period.
ORIENTED FLIP GRAPHS, NONCROSSING TREE PARTITIONS, AND REPRESENTATION THEORY OF TILING ALGEBRAS

Abstract The purpose of this paper is to understand lattices of certain subcategories in module categories of representation-finite gentle algebras called tiling algebras, as introduced by Coelho Simões and Parsons. We present combinatorial models for torsion pairs and wide subcategories in the module category of tiling algebras. Our models use the oriented flip graphs and noncrossing tree partitions, previously introduced by the authors, and a description of the extension spaces between indecomposable modules over tiling algebras. In addition, we classify two-term simple-minded collections in bounded derived categories of tiling algebras. As a consequence, we obtain a characterization of c-matrices for any quiver mutation-equivalent to a type A Dynkin quiver.
COMPUTER VISION BASED MOBILE ROBOT NAVIGATION IN UNKNOWN ENVIRONMENTS

There has been an increasing interest for mobile robotics structures because they allow making activities without human supervision. This paper presents the main problems of an autonomous mobile robotic platform, which uses digital image processing techniques for extracting important information from the environment. In the following, there will be presented acquisition approaches based on digital cameras, approaches that will be used for visual navigation. The navigation process is based on probabilistic methods. The simultaneous localization and mapping structures will be the one that integrates both the navigation process and the probabilistic approaches.
On the use of PZT-Patches as exciters in modal analysis: application to submerged structures

Modal Analysis is an experimental technique widely used to determine the dynamic response of structures. One of the most critical part is the selection of the actuator that will excite the tested structure. In many cases, traditional exciters, such as hammers and shakers, have been used for this purpose. Nevertheless, these exciters may have the disadvantage of modifying the modal parameters (as reported in some cases) and they are difficult to be used when the structure is not accessible (confined and/or submerged). For these cases PZT-patches, that are very light structures (compared to the tested structure), have been recently used as exciters. Although, in the analyzed studies the natural frequencies of the structure have been determined using PZTs, the rest of parameters that determine the FRF (Frequency response Function) have been not obtained. This could be, because the calibration of PZTs as dynamic force transducers is a complicated task and not an information given by the manufacturers, as in other exciters used for the same purpose. This paper analyzes experimentally and analytically the use of PZT-patches as exciters for modal analysis. For this purpose, a tested structure is excited in different ways with a PZT and its response is compared with a reference case, obtained with a classical exciter. Analyses show how to obtain different modal parameters that determine the FRF of the structure, without previous calibration of the PZT. Finally, and in order to show the potential advantages of these exciters for inaccessible structures, the procedure is repeated for the same structure submerged in water, showing that PZT are much more appropriated exciters in these cases.
A Model for Experience-Based Agent Specific Trust

— Contemporary computerized tasks increasingly depend on inherently inaccurate information provided by autonomous agents. Reasons for the information inaccuracy are many, including the uncertainty in measurement (calibration errors), the process inherent inaccuracy (rounding), changing level of quality and, when humans are involved, differences in preferences (bias), (un)intentional violation of expectation to mention a few. Parameterization of this inaccuracy is demanded for prompt and justified adaption. Frequently, this parameterization is overlooked when models for reasoning on the inaccuracies are presented. In this paper, we address the parameterization of inaccuracy by an experience-based model. The model is based on Dempster-Shafer theory of evidence that relies on a history of experiences of subjective satisfaction on some provided data. From this history, the model derives the warranted belief and certainty that may justifiably be placed on the acquired data. The model facilitates decay and abstraction of a subset of history to a versatile score. This paper’s contribution is in showing the experience-based model’s generality and versatility by mapping it to EigenTrust, Subjective Logic and probabilistic trust management models.
Smile from the Past: A General Option Pricing Framework with Multiple Volatility and Leverage Components

In the current literature, the analytical tractability of discrete time option pricing models is guaranteed only for rather specific types of models and pricing kernels. We propose a very general and fully analytical option pricing framework, encompassing a wide class of discrete time models featuring multiple-component structure in both volatility and leverage, and a flexible pricing kernel with multiple risk premia. Although the proposed framework is general enough to include either GARCH-type volatility, Realized Volatility or a combination of the two, in this paper we focus on realized volatility option pricing models by extending the Heterogeneous Autoregressive Gamma (HARG) model of Corsi, Fusari, La Vecchia (2012) to incorporate heterogeneous leverage structures with multiple components, while preserving closed-form solutions for option prices. Applying our analytically tractable asymmetric HARG model to a large sample of S&P 500 index options, we demonstrate its superior ability to price out-of-the-money options compared to existing benchmarks.
The authors analyze whether it is possible to identify soil hydraulic properties of the active layer in a permafrost region by inverse modeling using the Richards equation in two spatial dimensions. The content

Estimation of hydraulic properties of active layers is challenging due to the freeze-thaw effect in space and time. Provided an active layer with an undulating frost table, monitoring of spatial soil water dynamics in the thawed layer could provide significant information for commonly-used inverse estimation of soil hydraulic material properties. In this study, we assess the feasibility to estimate effective soil hydraulic properties using two-dimensional measurements of soil water storage 15 and thawing depth, which can be efficiently derived from ground-penetrating radar (GPR) observations. The results of this study conceptually demonstrate that spatial and temporal observations of soil moisture in the active layer during a rain event are sufficient for inverse estimation of soil hydraulic parameters. The proposed method depends on the lateral water redistribution controlled by the undulating frost table. We suggest that this method could be used for seasonal-scale estimation of soil hydraulic properties. 20
Einkauf in Technologie-Start-ups

Kurzfassung Für Technologie-Start-ups stellt die Beschaffung, genau wie für etablierte Unternehmen, eine essentielle Aufgabe dar, die über den unternehmerischen Erfolg entscheiden kann. Verschiedene Charakteristika, wie z. B. Größe und Wachstumsorientierung, die Start-ups wesentlich von etablierten Unternehmen unterscheiden, stellen den Einkauf vor besondere Herausforderungen. Im vorliegenden Beitrag werden diese Unterschiede herausgearbeitet und die für den Einkauf resultierenden Anforderungen abgeleitet. Insbesondere wird dabei auf den Einfluss agiler und iterativer Entwicklungsmethoden eingegangen. Abschließend werden für die aufgezeigten Probleme erste mögliche Lösungsansätze aufgezeigt.
Panoptispy: Characterizing Audio and Video Exfiltration from Android Applications

Abstract The high-fidelity sensors and ubiquitous internet connectivity offered by mobile devices have facilitated an explosion in mobile apps that rely on multimedia features. However, these sensors can also be used in ways that may violate user’s expectations and personal privacy. For example, apps have been caught taking pictures without the user’s knowledge and passively listened for inaudible, ultrasonic audio beacons. The developers of mobile device operating systems recognize that sensor data is sensitive, but unfortunately existing permission models only mitigate some of the privacy concerns surrounding multimedia data. In this work, we present the first large-scale empirical study of media permissions and leaks from Android apps, covering 17,260 apps from Google Play, AppChina, Mi.com, and Anzhi. We study the behavior of these apps using a combination of static and dynamic analysis techniques. Our study reveals several alarming privacy risks in the Android app ecosystem, including apps that over-provision their media permissions and apps that share image and video data with other parties in unexpected ways, without user knowledge or consent. We also identify a previously unreported privacy risk that arises from third-party libraries that record and upload screenshots and videos of the screen without informing the user and without requiring any permissions.