Miracle-dz/UniFAR-FTUs huggingface dataset:
Chance-Constrained Optimal Altitude Control of a Rocket

Motivated by the problem of launching a rocket to reach a target apogee altitude, this paper presents an algorithm solving a chance-constrained infinite horizon optimal control problem. Using actuated airbrakes to control longitudinal drag forces, it minimizes the apogee altitude error while respecting input rate chance constraints. The effects of parameters uncertainty and disturbances are estimated using Monte Carlo simulations and incorporated in the problem. The solution is stored in memory as a look-up control table on a computationally limited rocket, which is successfully flown with an apogee altitude error of 1% for a target altitude of 800m.
Beta-Amyloid₁₋₄₂- induced intracellular signaling pathways, functional responses and modulation by 4-aminopyridine in microglia

Alzheimer's Disease (AD) is a progressive, neurodegenerative disease characterized by gradual cognitive decline and memory loss. Although research has focused on elucidating the risk factors, pathophysiologic abnormalities associated with A D and on mechanisms of impeding disease progression, results indicate that a variety of factors may contribute to A D which makes treating this disease difficult. The neuropathological hallmarks of A D include senile plaques which are composed of extracellular deposits of amyloid beta (AP) peptide as well as neurofibrillary tangles, neuronal loss and inflammation. Microglia, the immune cells of the CNS, are abundantly found in the vicinity of neuritic plaques. It is believed that microglia become activated in response to Ap leading to an inflammatory response and subsequent neuronal loss associated with A D pathogenesis. Modulation of the Ap-induced intracellular signaling and functional responses of microglia could serve as a therapeutic
Implementation of Dropout Neuronal Units Based on Stochastic Memristive Devices in Neural Networks with High Classification Accuracy

Neural networks based on memristive devices have achieved great progress recently. However, memristive synapses with nonlinearity and asymmetry seriously limit the classification accuracy. Moreover, insufficient number of training samples in many cases also have negative effect on the classification accuracy of neural networks due to overfitting. In this work, dropout neuronal units are developed based on stochastic volatile memristive devices of Ag/Ta2O5:Ag/Pt. The memristive neural network using the dropout neuronal units effectively solves the problem of overfitting and mitigates the negative effects of the nonideality of memristive synapses, eventually achieves a classification accuracy comparable to the theoretical limit. The stochastic and volatile switching performances of the Ag/Ta2O5:Ag/Pt device are attributed to the stochastical rupture of the Ag filament under high electrical stress in the Ta2O5 layer, according to the TEM observation and the kinetic Monte Carlo simulation.
Reversible Structure Engineering of Bioinspired Anisotropic Surface for Droplet Recognition and Transportation

Surfaces with tunable liquid adhesion have aroused great attention in past years. However, it remains challenging to endow a surface with the capability of droplet recognition and transportation. Here, a bioinspired surface, termed as TMAS, is presented that is inspired by isotropic lotus leaves and anisotropic butterfly wings. The surface is prepared by simply growing a triangular micropillar array on the pre‐stretched thin poly(dimethylsiloxane) (PDMS) film. The regulation of mechanical stress in the PDMS film allows the fine tuning of structural parameters of the micropillar array reversibly, which results in the instantaneous, in situ switching between isotropic and various degrees of anisotropic droplet adhesions, and between strong adhesion and directional sliding of water droplets. TMAS can thus be used for robust droplet transportation and recognition of acids, bases, and their pH strengths. The results here could inspire the design of robust sensor techniques.
Impedimetric Detection and Electromediated Apoptosis of Vascular Smooth Muscle Using Microfabricated Biosensors for Diagnosis and Therapeutic Intervention in Cardiovascular Diseases

Cardiovascular diseases remain a significant global burden with 1‐in‐3 of all deaths attributable to the consequences of the disease. The main cause is blocked arteries which often remain undetected. Implantable medical devices (IMDs) such as stents and grafts are often used to reopen vessels but over time these too will re‐block. A vascular biosensor is developed that can report on cellularity and is amenable to being mounted on a stent or graft for remote reporting. Moreover, the device is designed to also receive currents that can induce a controlled form of cell death, apoptosis. A combined diagnostic and therapeutic biosensor would be transformational for the treatment of vascular diseases such as atherosclerosis and central line access. In this work, a cell sensing and cell apoptosing system based on the same interdigitated electrodes (IDEs) is developed. It is shown that the device is scalable and that by miniaturizing the IDEs, the detection sensitivity is increased. Apoptosis of vascular smooth muscle cells is monitored using continuous impedance measurements at a frequency of 10 kHz and rates of cell death are tracked using fluorescent dyes and live cell imaging.
Cooperation and competition: Neural mechanisms of evolved communication systems ⋆

Combining mechanistic and evolutionary perspectives to un- derstand the emergence of communication is still a major challenge in evolutionary biology. Regarding this challenge, we discuss experiments which unify the ideas of evolutionary robotics with the dynamical sys- tems approach to adaptive behavior. Here, we investigate how already evolved communicative behavior changes during further evolution when a population is confronted with competition about limited environmental resources. A thorough analysis at the neural level reveals changes of the mechanisms that underlie behavior, which eventually lead to the emer- gence of signal coordination, intraspecific cooperative, and interspecific aggressive signaling. Further, we demonstrate the development of coun- teractive niche construction based on a modification of communication strategies which generates an evolutionary feedback resulting in an ac- tive reduction of selection pressure. Our findings strongly support the complementary nature of robotic experiments to study the evolution of communication.
Development of a camera trap for perching dragonflies: a new tool for freshwater environmental assessment

Although dragonflies are excellent environmental indicators for monitoring terrestrial water ecosystems, automatic monitoring techniques using digital tools are limited. We designed a novel camera trapping system with an original dragonfly detector based on the hypothesis that perching dragonflies can be automatically detected using inexpensive and energy-saving photosensors built in a perch-like structure. A trial version of the camera trap was developed and evaluated in a case study targeting red dragonflies (Sympetrum spp.) in Japan. During an approximately 2-month period, the detector successfully detected Sympetrum dragonflies while using extremely low power consumption (less than 5 mW). Furthermore, a short-term field experiment using time-lapse cameras for validation at three locations indicated that the detection accuracy was sufficient for practical applications. The frequency of false positive detection ranged from 17 to 51 over an approximately 2-day period. The detection sensitivities were 0.67 and 1.0 at two locations, where a time-lapse camera confirmed that Sympetrum dragonflies perched on the trap more than once. However, the correspondence between the detection frequency by the camera trap and the abundance of Sympetrum dragonflies determined by field observations conducted in parallel was low when the dragonfly density was relatively high. Despite the potential for improvements in our camera trap and its application to the quantitative monitoring of dragonflies, the low cost and low power consumption of the detector make it a promising tool.
Image segmentation through localized energy vector ﬁelds

The aim of this project is to find a local minima of an energy function using a vector field which is computed from the definition of localized energies. Localized energies as used in [2] and [3] localize existing global energies and compute their value for each pixel on a contour. Often, a contour is represented in the form of a signed distance function φ(x), which is negative inside and positive outside an object. φ(·) a so called level-set function. The localized energies depend on the current state of φ. Given an estimate of φ, a gradient of the energy can be computed. Our vector field cannot assume a contour but we aim at deriving one which in fact is a local mimimum of the energy function. This is advantageous since existing active contour algorithms are often much dependent on the initialization whereas our approach does not need to be initialized. Intuitively, we want the vector of each pixel to point into the direction where it wants to belong to. From this, it can be concluded that vectors close to a object boundary are orthogonal to
Geography and social networks. Modelling the effects of territorial borders on policy networks

The present paper examines the importance of integrating geographic contextual effects into the analysis of social networks. By considering spatial structures as both produced by and productive of social relations, geographic space seems to be more than the extent on which places, actors or events are located and separated by distance. Territoriality, bordering processes, the sense of place, spatial inequalities, scalar relations and spatial connectivity are among the socio-spatial arrangements and practices that are likely to affect social action. The present empirical analysis thus focuses on policy interactions within the crossborder region of Lille because the spatial dimension particularly influences relations in this area. Specifically, we examine three spatial effects, namely, distance, territorial borders and cross-border 1 This research is part of the MetroNet project supported by the National Research Fund of Luxembourg (FNR Project C09/SR/03). Earlier versions of this paper were presented at the 8th UK Social Networks Association (UKSNA) conference, Bristol, June 2012 and the XXXIII Sunbelt Social Networks Conference of the International Network for Social Network Analysis (INSNA), Hamburg, May 2013. The authors are grateful for the stimulating comments they received from conference participants. 2 Corresponding author. Tel. : +352 58 58 55 613. E-mail address: christophe.sohn@ceps.lu.
Associated Factors for Farrowing Duration in Sows with Natural Parturition in Intensive Conditions

Modern pig farming worldwide has been facing substantial economic loss due to perinatal mortality which is mainly associated with the farrowing process. Therefore, the present study aimed to identify factors affecting the farrowing duration in natural farrowing sows in the intensive indoor conditions. In total, 210 farrowing sows in 4 commercial farms were included in the study. The association between potential risk factors and farrowing duration was analyzed by using general linear models. Two final models demonstrated that the number of total born piglets, number of stillborn and mummified piglets, litter weight, and average birth weight were significantly associated with farrowing duration. Among the four factors, average birth weight had a negative association with whereas the other three factors had positive associations with farrowing duration. Two models explained about 19.1-19.5% variation of the farrowing duration. The results also demonstrated that the number of total born piglets, stillborn, and mummified piglets were more important than litter weight and average birth weight in explaining the variation of farrowing duration.
The Correlation Of Immunochemistry Expression Anaplastic Lymphoma Kinase (ALK) With Level Of Stromal Tumor Infiltrating Lymphocytes (STILS) In Prostate Adenocarcinoma

Prostate cancer is currently the fifth leading cause of death in men. Now immunotherapy is used as a new paradigm of prostate treatment, where the therapeutic response is aimed at the role of Tumor Infiltrating Lymphocytes (TILs). Anaplastic Lymphoma Kinase (ALK) gene fusion has found in several types of malignancies has been clinically proven to demonstrate an effective therapeutic target response for patients with positive ALK. Currently, combination therapy continues to be developed, especially in cases of recurrence and metastasis, so it is necessary to research on prostate adenocarcinoma. The paraffin block of 32 prostate adenocarcinoma tissue was used to assess the level of stromal TILs and ALK immunohistochemistry. Results were analyzed using SPSS 22 version. ALK expressed in 87,5% of the prostate adenocarcinoma. There is no significant correlation between of ALK immunohistochemistry expression with the level of sTILs. but there is a tendency that grade group V shows a broad percentage of expression and strong intensity. Positive ALK expression in adenocarcinoma with high grade can be used as a prognosis and a optional treatment in prostate adenocarcinoma. The evaluation of the subset of TILs can be investigated further to assess its relationship to ALK expression.
Evaluation of Phytopathogenic Effect of Pectobacterium carotovorum subsp. carotovorum isolated from Symptomless Potato Tuber and Soil

Aims: The comparison of the four combination method to detect and isolate the Pectobacterium spp by using or not the step enrichment and evaluation the effect of the bacterial concentration and assessment date to symptoms expression on the infected plant potatoes. Place and Duration of Study: Laboratory Virology Hygiene and Microbiology, department Biology, Faculty of Sciences and Techniques, University Hassan-II Mohammedia Casablanca. Methodology: One hundred fifty samples were collected from symptomless tubers and twenty eight soil samples from the target field. Four combination procedures were performed with or without step enrichement by using DPEM and DIECA to detect and isolate Pectobacterium. The strains were isolated in the CVP (Cristal Violet Pectate) medium after enrichement step with DPEM. The strains S603TM3, S603TM5,P603A1, Research Article British Journal of Applied Science & Technology, 4(1): 67-78, 2014 68 P303AH2, P303T1, P303K2, P303K4, P303MN2, P603GH2 were identified by biochemical and pathogenecity tests, the confirmation species was performed by PCR using primers Y1 and Y2. During this study, one strain was choice to evaluate the capacity of the Pectobacterium to develop symptoms non–emergence (NE) symptomless plant (SP), chlorosis (Chl); blackleg (Blg); desiccation (Dst). under the following conditions: the combination between the assement date (40 and 70 days) and bacterial concentration ( 10 and 10 CFU/ml). Results: The isolates were performed on medium Crystal Violet Pectate. Their biochemical tests allowed us to conclude that all the isolates belonged to the Pectobacterium. The strains were able to develop the soft rot in the slices of potato, confirmed by PCR yielded an amplified fragment of the size (434 bp). The results of the combination test to detect the Pectobacterium revealed that the enrichment step was.the most efficient technique for Pectobacterium sp isolation comparing to direct plating on CVP medium, 23% of strains were isolated by enriched medium DPEM as compared without enrichment step 13%, detection of Pectobacterium sp was improved by adding Sodium Diethyldithiocarbamate (DIECA). The results of the combination conditions assessment date and bacterial concentration show no effect between the concentration 10 and 10 CFU/ml to develop the symptoms, in the otherwise, chlorosis and blackleg symptoms attenuated and increased after 70 days, the desiccation symptom was also significantly affected by an assessment date. Conclusion: The detection and isolation of Pectobacterium from asymptomatic potato tubers were improve by enrichement step. Some of these strains were belong to Pectobacterium carotovorum subsp. carotovorum. The development and expression symptom (no emergence, chlorosis, blackleg and dessication) of Pectobacterium in the potato plant is not correlated with assessment date and inoculums level. Otherwise, some physiological and environemental conditions can affect their development.
SLICT: Computing Texture-Sensitive Superpixels in Medical Images

With the development of superpixel algorithm, SLIC (Simple linear iterative clustering) is widely noticed because of its low time-complexity and remarkable results. However, traditional SLIC does not take texture information into consideration, which leads to unsatisfactory results on texture-complex images. LBP (Local binary pattern) algorithm has good performance on texture analysis. But it is not robust enough to texture noise, and it may also lead to texture deviation. So, we propose simple linear iterative clustering based on texture (SLICT) by improving the traditional LBP algorithm and combining it with SLIC. To verify our method (cid:48) s eﬀectiveness, we use medical images which contain complex texture from cardiac MRI dataset and compare our algorithm with other superpixel algorithms. The experiment results show that SLICT has better performance than the other algorithms in boundary recall, under-segmentation error and coverage rate. Besides, image segmentation results show that SLICT can adhere to boundary more tightly and have better results on consistent area, which proves SLICT is more suitable to texture-complex images.
What does land surface curvature really mean?

The complex development of geomorphometric theory has led to various concepts of land surface curvature (LSC), whose compatibility has not yet been systematically investigated. The definition, terminology and interpretation of LSCs show significant confusion and gaps reflected in various applications in geoscience modelling and prediction. Here we discuss the present situation, specify basic problems, and make initial suggestions for their solution.
Regulation of BAP1 tumor suppressor complex by post-translational modifications

BAP1 is a nuclear deubiquitinating enzyme (DUB) that acts as a transcription regulator and a DUB of nucleosomal histone H2AK119. In the recent years, it has become clear that BAP1 is a major tumor suppressor, inactivated in a plethora of hereditary and sporadic human malignancies. Although, we now accumulated a significant body of knowledge in respect to the occurrence, penetrance and impact of BAP1 disruption in cancer, its mechanism of action and regulation remained poorly defined. This work is dedicated to the biochemical and functional characterization of the BAP1 multiprotein complex and presents one of the first cases regarding its regulation by post-translational modifications. First, we defined the initial composition of the BAP1 complex and its main interacting components. Second, we specifically focused on two aspects of BAP1 regulation. We described the cross regulation between the two major components of the complex namely HCF-1 and OGT. We found that HCF-1 is important for the maintenance of the cellular levels of OGT. OGT, in turn, is required for the proper maturation of HCF-1 by promoting O-GlcNAcylation-mediated limited proteolysis of its precursor. Third, we discovered an intricate regulatory mechanism of BAP1 mediated by the atypical ubiquitin ligase UBE2O. UBE2O multi-monoubiquitinates BAP1 on its NLS and promotes its exclusion from the nucleus. Importantly, our work emphasises the role of the autocatalytic activity of both enzymes namely the auto-deubiquitination activity of BAP1, required for the maintenance of nuclear BAP1 and the auto-ubiquitination of UBE2O implicated in its nucleocytoplasmic transport. Significantly, we found that auto-deubiquitination of BAP1 is disrupted by cancer-associated mutations, indicating the involvement of this process in tumor suppression.
Nursing home outbreak of influenza A (H3N2): evaluation of vaccine efficacy and influenza case definitions.

OBJECTIVES: Describe an outbreak of influenza A (H3N2); provide an analysis of vaccine efficacy; measure the sensitivity, specificity, and positive predictive value of 3 clinical case definitions of influenza. SETTING: A nursing home in Washington County, Maryland. The outbreak involved 52 residents (attack rate = 47.7%) and at least 10 of 140 employees (minimum attack rate = 7.1%). RESULTS: Twenty-five residents exhibited a 4-fold or greater increase in titer to influenza A/Sichuan/2/87. Vaccine efficacy was measured at -7.1%, suggesting that the influenza vaccine in 1988/1989 did not offer optimal protection against influenza A infection for the institutionalized elderly. CONCLUSIONS: The outbreak was a clear indicator of the need for rapid diagnosis. With the use of rapid diagnostic tests, influenza A could have been detected in time to use amantadine.
Improving the privacy of web search by Restricting the Adversary by Capturing Series of Queries

-Personalized web search (PWS) has gained its efficiency in increasing the quality of a variety of search services on the Internet. On the other hand, indication shows that users’ unwillingness to reveal their private data during search has become an important barrier for the wide creation profiles of personalized web search. This paper proposes a PWS framework called User Personalized Search (UPS) that can concurrently generalize profiles by user queries while maintaining user specified privacy conditions. This paper focuses on runtime generalization aims at remarkable balance between two effective metrics that generate the utility of privacy and personalization risk of exposing the user generalized profile. This paper presents two greedy algorithms, namely GreedyIL, GreedyDP and for runtime generalization. Further this paper utilizes the Useless User Profile (UUP) to reduce the number of collaborations with the server which in turn reduces the time complexity
Effective automated repair of internationalization presentation failures in web applications using style similarity clustering and search‐based techniques

Companies often employ (i18n) frameworks to provide translated text and localized media content on their websites in order to effectively communicate with a global audience. However, the varying lengths of text from different languages can cause undesired distortions in the layout of a web page. Such distortions, called Internationalization Presentation Failures (IPFs), can negatively affect the aesthetics or usability of the website. Most of the existing automated techniques developed for assisting repair of IPFs either produce fixes that are likely to significantly reduce the legibility and attractiveness of the pages or are limited to only detecting IPFs, with the actual repair itself remaining a labour intensive manual task. To address this problem, we propose a search‐based technique for automatically repairing IPFs in web applications, while ensuring a legible and attractive page. The empirical evaluation of our approach reported that our approach was able to successfully resolve 94% of the detected IPFs for 46 real‐world web pages. In a user study, participants rated the visual quality of our fixes significantly higher than the unfixed versions and also considered the repairs generated by our approach to be notably more legible and visually appealing than the repairs generated by existing techniques.