Miracle-dz/UniFAR-FTUs huggingface dataset:
Patterns of plant subcellular responses to successful oomycete infections reveal differences in host cell reprogramming and endocytic trafficking

Adapted filamentous pathogens such as the oomycetes Hyaloperonospora arabidopsidis (Hpa) and Phytophthora infestans (Pi) project specialized hyphae, the haustoria, inside living host cells for the suppression of host defence and acquisition of nutrients. Accommodation of haustoria requires reorganization of the host cell and the biogenesis of a novel host cell membrane, the extrahaustorial membrane (EHM), which envelops the haustorium separating the host cell from the pathogen. Here, we applied live‐cell imaging of fluorescent‐tagged proteins labelling a variety of membrane compartments and investigated the subcellular changes associated with accommodating oomycete haustoria in Arabidopsis and N. benthamiana. Plasma membrane‐resident proteins differentially localized to the EHM. Likewise, secretory vesicles and endosomal compartments surrounded Hpa and Pi haustoria revealing differences between these two oomycetes, and suggesting a role for vesicle trafficking pathways for the pathogen‐controlled biogenesis of the EHM. The latter is supported by enhanced susceptibility of mutants in endosome‐mediated trafficking regulators. These observations point at host subcellular defences and specialization of the EHM in a pathogen‐specific manner. Defence‐associated haustorial encasements, a double‐layered membrane that grows around mature haustoria, were frequently observed in Hpa interactions. Intriguingly, all tested plant proteins accumulated at Hpa haustorial encasements suggesting the general recruitment of default vesicle trafficking pathways to defend pathogen access. Altogether, our results show common requirements of subcellular changes associated with oomycete biotrophy, and highlight differences between two oomycete pathogens in reprogramming host cell vesicle trafficking for haustoria accommodation. This provides a framework for further dissection of the pathogen‐triggered reprogramming of host subcellular changes.
Human detection using speeded-up robust features and support vector machine from aerial images

Human detection from an aerial image has attracted wide attention due to its vast area of application such as in surveillance, search and rescue operation, and for visual understanding of the image. Unlike object detection, human detection from an aerial image is a challenging classification problem because of different posture appearance of human in an image. More so, at high altitude human shape appear deformed. Different features selection and different algorithm have been proposed. Although effective, but limited due to, characteristic of human posture in an image. In order to address this problem, this research proposed a Speeded-Up Robust feature selection and SVM for human detection from an aerial image due to computational speed and robustness of the SURF feature. This approach would help in better human detection from aerial images irrespective of position and movement for either rescue or surveillance mission. Aerial images were acquired preprocess and segmented using Otsu segmentation. A database comprises of two hundred images was created; 70 percent (140 images) of it was used in training the classifier and 30 percent (60 images) for testing the classifier. Accuracy of 50%, specificity of 57.1%, sensitivity of 46.2% and precision of 66.7% was achieved. These results can be used for a better human detection from an aerial image irrespective of the position or movement.
Path Loss Prediction Based on Machine Learning: Principle, Method, and Data Expansion

Path loss prediction is of great significance for the performance optimization of wireless networks. With the development and deployment of the fifth-generation (5G) mobile communication systems, new path loss prediction methods with high accuracy and low complexity should be proposed. In this paper, the principle and procedure of machine-learning-based path loss prediction are presented. Measured data are used to evaluate the performance of different models such as artificial neural network, support vector regression, and random forest. It is shown that these machine-learning-based models outperform the log-distance model. In view of the fact that the volume of measured data sometimes cannot meet the requirements of machine learning algorithms, we propose two mechanisms to expand the training dataset. On one hand, old measured data can be reused in new scenarios or at different frequencies. On the other hand, the classical model can also be utilized to generate a number of training samples based on the prior information obtained from measured results. Measured data are employed to verify the feasibility of these data expansion mechanisms. Finally, some issues for future research are discussed.
Multiple Assignment Problems under Lexicographic Preferences

We study the problem of allocating multiple objects to agents without transferable utilities, where each agent may receive more than one object according to a quota. Under lexicographic preferences, we characterize the set of strategyproof, non-bossy, and neutral quota mechanisms and show that under a mild Pareto efficiency condition, serial dictatorship quota mechanisms are the only mechanisms satisfying these properties. We then extend quota mechanisms to randomized settings, and show that the random serial dictatorship quota mechanisms (RSDQ) are envyfree, strategyproof, and ex post efficient for any number of agents and objects and any quota system, proving that the well-studied Random Serial Dictatorship (RSD) satisfies envyfreeness when preferences are lexicographic.
SMCQL: Secure Query Processing for Private Data Networks

People and machines are collecting data at an unprecedented rate. Despite this newfound abundance of data, progress has been slow in sharing it for open science, business, and other data-intensive endeavors. Many such efforts are stymied by privacy concerns and regulatory compliance issues. For example, many hospitals are interested in pooling their medical records for research, but none may disclose arbitrary patient records to researchers or other healthcare providers. In this context we propose the Private Data Network (PDN), a federated database for querying over the collective data of mutually distrustful parties. In a PDN, each member database does not reveal its tuples to its peers nor to the query writer. Instead, the user submits a query to an honest broker that plans and coordinates its execution over multiple private databases using secure multiparty computation (SMC). Here, each database's query execution is oblivious, and its program counters and memory traces are agnostic to the inputs of others. We introduce a framework for executing PDN queries named SMCQL. This system translates SQL statements into SMC primitives to compute query results over the union of its source databases without revealing sensitive information about individual tuples to peer data providers or the honest broker. Only the honest broker and the querier receive the results of a PDN query. For fast, secure query evaluation, we explore a heuristics-driven optimizer that minimizes the PDN's use of secure computation and partitions its query evaluation into scalable slices.
Lifelong Learning and Corporate Social Responsibility ( CSR ) : Yuhan -

Currently, worker’s learning is very critical component of corporate management, for instance, OJT(on-the-job training), skill training, leadership training, etc. But it is not easy to be continuously supported learning of worker from the corporation because the efficiency of learning cannot be measured in the short time period. Most of corporations do not wait the ongoing process of development of workers because business has to create profit as much as investment within a period of time, thereby workplace learning is seen as perfunctory event. However management should not look over that workers’ learning at home and at workplace is ongoing. That is, workers are constantly learning something in the workplace through observing, communicating, thinking by themselves, and so on, thereby their personal thoughts and actions influence on their working life. Therefore management needs to consider that workers’ learning contributes to not just their personal life but also working life, and moreover to regard their learning not as training(acquiring skills) but as lifelong learning(continuous learning). That is, worker should be a learner who constantly learn something in anywhere at any time
UvA-DARE ( Digital Academic Repository ) Levelable Sets and the Algebraic Structure of Parameterizations

Asking which sets are fixed-parameter tractable for a given parameterization constitutes much of the current research in parameterized complexity theory. This approach faces some of the core difficulties in complexity theory. By focussing instead on the parameterizations that make a given set fixed-parameter tractable, we circumvent these difficulties. We isolate parameterizations as independent measures of complexity and study their underlying algebraic structure. Thus we are able to compare parameterizations, which establishes a hierarchy of complexity that is much stronger than that present in typical parameterized algorithms races. Among other results, we find that no practically fixed-parameter tractable sets have optimal parameterizations.
Fructosamine measurement for diabetes mellitus diagnosis and monitoring: a systematic review and meta-analysis protocol

Introduction Fructosamine is a marker of glucose control reflecting the average glycaemic level over the preceding 2–3 weeks. Fructosamine has not gained as much popularity as glycated haemoglobin (HbA1c) for diabetes mellitus (DM) control monitoring, and the related underlying reasons remain unclear. We aim to search for and summarise available evidence on the accuracy of fructosamine measurements to diagnose and monitor DM. Methods and analysis This systematic review will include randomised control trials, controlled before-and-after studies, time series designs, cohort studies, case–control studies and cross-sectional surveys reporting the diagnosis and/or monitoring of DM (type 1 DM, type 2 DM and gestational DM) with fructosamine compared with other measures of glycaemia (fasting glucose, oral glucose tolerance test, random glucose, HbA1c), without any language restriction. We will perform electronic searches in PubMed, Scopus and other databases, supplemented with manual searches. Articles published from 1 January 1980 to 30 June 2015 will be eligible for inclusion in this review. Two authors will independently screen, select studies, extract data and assess the risk of bias with discrepancies resolved by consensus. We will assess clinical heterogeneity by examining the types of interventions and outcomes in each study, and pool studies judged to be clinically homogeneous. We will also assess statistical heterogeneity using the χ2 test of homogeneity and quantify it using the I2 statistic. Absolute accuracy measures (sensitivity, specificity) will be pooled in a bivariate random-effects model, allowing for intersetting variability. Negative and positive predictive values will be computed for fructosamine, compared with another measure of glycaemia from the pooled estimates of sensitivity and specificity, using Bayes’ theorem. Ethics and dissemination This systematic review will use data from published studies and does not require ethics approval. Findings will be published in a peer-reviewed journal and presented at scientific conferences. Trial registration number PROSPERO (ID=CRD42015015930).
An experimental test of the effects of sedimentation on Lake Tanganyika rocky shore gastropod survivorship

Sediment erosion from land and transport and deposition on littoral habitats has been identified as a form of pollution threatening the biodiversity of Lake Tanganyika (Cohen et al., 1993, 1996; Alin et al. 1999; Donoghue & Irvine, 2003; McIntrye et al. submitted). This anthropogenic sediment can alter the native aquatic habitat by blocking light when it is in suspension, affecting water chemistry and changing the substrate where it is deposited. Effects are most severe in rocky habitats, which in their pristine states have specialized endemic faunas and floras that are tightly co-evolved to clear water physical surroundings. Allochthonous sediment in suspension decreases light quantity and quality, reducing algal growth and potentially changing algal composition. When sediments settle out of the water onto the rock surface, the particles may interfere directly with algal growth and also survivorship of the fauna that lives on the algae. Sediment may coat the rock surfaces interfering with grazing and digestion for a very diverse fauna of herbivores (e.g. see Gilbert, this volume). For the truly benthic animals such as gastropods, shrimp, and ostracods, sediment also interferes with movement and many more physiological processes such as respiration and reproduction. Finally, if the sediment blanket on the habitat becomes great enough, it may decrease the whole available habitat by filling cracks between rocks and successively covering the entire rocky habitat. Various stages of this process have been documented throughout Lake Tanganyika. Anthropogenic sedimentation on a large scale is evident along the Burundi shoreline and is correlated with significantly depauperate diversity (Cohen et al., 1993). Areas of sedimentation, in some cases severe, although generally patchy, have been documented around Kigoma. This has allowed local comparisons of field patterns through a number of Nyanza research projects (France & McIntyre, 1998; Sekendende, 1999; Menone, 2000; Mulongaibalu 2000; Rivers, 2001; Solomon, 2001; Sapp, 2002; Faloon, 2002; Gilber, 2003). Sedimentation has been found to correlate with altered species assemblages, changing population sizes, decreases in predation and parasites and smaller adult sizes in fish and gastropods. However, direct testing of the effects of sediment on the animals themselves has been lacking.
COMPETENCES FOR ACCESS TO THE CONSERVATION- RESTORATION PROFESSION E.C.C.O. EUROPEAN CONFEDERATION OF CONSERVATOR-RESTORERS‘ ORGANISATIONS IMPRESSUM

IMPRESSUM © E.C. C.O. 2011 – European Confederation of Conservator-Restorers‘ Organisations A.I.S.B. L. / Confédération Européenne des Organisations de Conservateurs-Restaurateurs A.I.S.B. L. Susan Corr, Coordinator (ICHAWI, Ireland) Jeremy Hutchings, (NKF-N, Norway) Jaap van der Burg (Restauratoren Nederland, The Netherlands) David Aguilella Cueco (FFCR, France) Mechthild Noll Minor (VDR, Germany) Agnès Gall Ortlik, (Grup Tècnic, Spain) Sebastian Dobrusskin, (SKR-SCR, Switzerland)
Electro-acupuncture promotes neuroplasticity associated to systematic expressions of NTFs in spinal cord transected rats

This study evaluated the effects of electro-acupuncture (EA) on neuroplasticity associated with expression changes of neurotrophic factors (NTFs) and their receptors in rats subjected to spinal cord transection (SCT) at T10-T11 vertebral levels. Behavior evaluation showed that EA gave rise to a significant recovery in hindlimb locomotor (indicated by the scores of Basso, Beattie, Bresnahan) and sensory functions (assessed by the recording of cortical sensory evoked potential stimulation). The results of RT-PCR showed that mRNA expressions of CNTF, FGF-2 and TrkB were significantly upregulated, while these of NGF, PDGF, TGF-β1, IGF-1, TrkA, TrkC were concomitantly downregulated in the spinal segments caudal (CSS) to the site of transection following EA. Immunohistochemistry (IHC) staining demonstrated an increased number of CGRP fibers, GAP-43 fibers and Synaptophysin fibers in the CSS in EA rats. At the same time, few corticospinal fibers indicated by axonal tracing after injection of biotinylated dextran amine into the precentral gyrus, were found in the CSS in EA group. Together, our findings demonstrated that EA plays an important role in neuroplasticity in rats subjected to SCT. This could be attributed to the establishment of local circuits that may depend on the systematic regulation of NTFs and their receptors after longer EA treatment.
Safety and efficacy of weekly 5-fluorouracil/ folinic acid/oxaliplatin/irinotecan in the first-line treatment of gastrointestinal cancer

Background: Standard chemotherapy for patients with metastatic colorectal cancer (mCRC) or gastric cancer (GC) consists of two-drug, usually fluoropyrimidine-based, combinations, with or without the addition of biological agents. Studies of triple-drug regimens combining 5-fluorouracil (5-FU)/folinic acid (FA) with both oxaliplatin and irinotecan have shown promising efficacy in studies of patients with mCRC or GC. However, improved efficacy has often been achieved at the expense of high rates of grade 3 or 4 toxicities such as neutropenia and diarrhoea, occasionally even resulting in toxic deaths. Objective/Methods: We performed a phase II study of previously untreated patients with mCRC or GC to assess the safety and efficacy of our 5-fluorouracil/folinic acid/oxaliplatin/irinotecan (FUFOXIRI) regimen with weekly administration of irinotecan 70 mg/m 2, oxaliplatin 50 mg/m2, FA 500 mg/m2 and 5-FU 2000 mg/m2 on days 1, 8, 15 and 22, repeated from day 36. Results: A total of 22 patients were enrolled, 11 each with mCRC and GC receiving a median of four cycles per patient. The FUFOXIRI regimen was generally well tolerated with no toxic deaths, neutropenic fever or grade 4 toxicities. Most common grade 3 side effects were diarrhoea and neutropenia each affecting 24% of patients. Dose reductions due to toxicity were performed in 48% of all and 60% of patients having received at least two cycles of FUFOXIRI. The overall response rate was 46% (all partial responses), 55% and 36% for patients with mCRC and GC, respectively. Median progression-free survival for all patients, mCRC and GC patients was 9.5, 10.0 and 8.0 months, respectively. The median overall survival for all patients was 16.5, 18.0 and 15.0 months for patients with mCRC and GC, respectively. Conclusion: These data show excellent tolerance and efficacy of the FUFOXIRI regimen in both mCRC and GC. Therefore, FUFOXIRI is a promising backbone for future studies incorporating biologic ‘targeted’ agents for the treatment of gastrointestinal cancers.
Loss Modelling of Inductive Components Employed in Power Electronic Systems

Loss models of inductive components are thoroughly investigated, thereby all different aspects of loss modeling are considered. The impact of peak-to-peak flux density ΔB, frequency f , DC premagnetization HDC, temperature T , core shape, minor and major loops, flux waveform, and material on core loss calculation are considered. In order to calculate winding losses, formulas for round conductors and litz wires, each including skinand proximity effects (including the influence of an airgap fringing field) are included. A high level of accuracy is achieved by combining the best state-of-the-art approaches and by embedding newly-developed approaches into a novel loss calculation framework. The loss models are verified by FEM simulations and experimental measurements.
Adolescent values and risk behavior: predicting developmental paths in Youth

This paper reports on empirical survey data conducted with 437 Croatian adolescent participants in 2017. A total of 194 male (44,4%) and 243 female (55,6%) adolescents in the age from 15 to 19 years old were examined. The research is aimed at studying the relation between risky behaviour and adolescent beliefs and value orientations, with special emphasis on the most important risk and protective factors. The paper analyses major developmental theories of adolescent risk behaviour aetiology, with emphasis on the most prominent risk and protective dimensions. The survey instrument consisted of 4 major elements: the first part was aimed at socio-demographic traits. The second survey part examined personal beliefs and value orientations. The third part examined risk behaviour and the last survey part focused on leisure time activities. Descriptive and inferential statistical methods were employed. The results were examined using the t-test for independent samples, ANOVA, correlation analysis and hierarchical regression analysis. Results show multiple significant statistical differences based on gender, with boys reporting significantly higher risky alcohol behaviour (p<,001) and material value orientation (p<,001), while girls report significantly higher traditional value orientation (p<,001) and humanistic value orientation (p<,001). Older adolescents report significantly higher participation in risky alcohol behavior (p<,001) and younger adolescents report significantly higher traditional value orientation (p<,01). Academic success established a significant difference between participants in risky alcohol behaviour (p<,001), with participants who have high academic success score lower on risky alcohol behaviour than participants with average and low academic success. A significant negative correlation was established between risky alcohol behaviour and traditional value orientation (r= -0,30, p<,001) and between risky alcohol behaviour and humanistic value orientation (r= -0,13, p<,01). Participants reported significant positive correlation between risky alcohol behaviour and material value orientation, (r= 0,22, p<,001). Results of hierarchical regression analysis for risky alcohol behaviour indicate academic success and traditionalistic orientations as protective factors (p<,001), while materialistic orientations and more leisure time activity positively predict risky behaviour (p<,01).
Teaching-Learning based optimization technique for the design of LP and HP digital IIR filter

In this paper, the Lp-norm error criterion is employed to design stable digital infinite impulse response (IIR) filter. A heuristic optimization technique known as teaching-learning based optimization (TLBO) is applied for the design of 3 order low pass (LP) and high pass (HP) stable IIR digital filters. The multiobjective IIR digital filter design problem considers minimizing the Lp-norm approximation error and minimizing the ripple magnitude simultaneously while satisfying stability constraints on the coefficients of the filter. The proposed TLBO algorithm is based on the social phenomenon of teaching-learning process and the implementation of TLBO does not require algorithm specific controlling parameters thus resulting in the increase of robustness of the algorithm. The comparison of simulation results with other genetic algorithms (GAs) based method show that the proposed TLBO algorithm is superior in terms smaller L1-norm error, L2 norm error and smaller pass band and stop band ripples. Key-Words: IIR filter, TLBO, magnitude response, low pass (LP), high pass (HP), stability, Lpapproximation error.