Miracle-dz/UniFAR-FTUs huggingface dataset:
Three Glycoproteins with Antimutagenic Activity Identified in Lactobacillus plantarum KLAB21

ABSTRACT Antimutagenic substances were purified from a culture supernatant of Lactobacillus plantarum KLAB21 cells isolated from kimchi, a Korean traditional fermented vegetable, and their characteristics were investigated. The antimutagenic substances were separated into two fractions by DEAE-cellulose ion-exchange column chromatography, which were designated the R1 and R2 fractions. The R1 fraction was then divided into two fractions again by Sephadex G200 gel filtration chromatography, and the fractions were designated R1-1 and R1-2. All three fractions were further purified using a Sepharose CL-6B gel filtration column. All the purified fractions were successfully stained with fuchsin as well as Coomassie brilliant blue, suggesting that they are glycoproteins. The purified fractions were confirmed to possess antimutagenic activity againstN-methyl-N′-nitro-N-nitrosoguanidine on Salmonella enterica serovar Typhimurium TA100 cells. Their molecular masses were determined to be 16 (R1-1), 11 (R1-2), and 14 (R2) kDa on the Sepharose CL-6B column. Total sugar contents were 8.4% (R1-1), 7.3% (R1-2), and 9.4% (R2). The amino acid compositions of the fractions were different from each other; the major amino acids were glutamic acid (21.5%) and phenylalanine (17.1%) in the R1-1 fraction and glycine (41.3%) in the R1-2 fraction, but valine (31%) and phenylalanine (22.6%) were the major amino acids in the R2 fraction.
Deutsche Biotech-Unternehmen und ihre Innovationsfähigkeit im internationalen Vergleich

Aus der Forschung5 Institutionen sind nur dann stabil, wenn ihr Uberleben durch aktive Politik unterstutzt wird. Dies kann durchaus einschliesen, dass sie sich schleichend wandeln (mussen). Betrachtet man das Richterpersonal des Bundesarbeitsgerichts im Zeitverlauf, dann hat es eine tendenzielle Verschiebung des Arbeitsrechts weg vom Privatrecht hin zum offentlichen Recht gegeben. Dieser Trend lauft gegen alle offentlichen Diskussionen, in denen immer wieder uber die Subsumierung des Arbeitsrechts unter das Privatrecht gestritten wird.
Off-Axis Electron Holography of Unbiased and Reverse-Biased Focused Ion Beam Milled Si p-n Junctions

Off-axis electron holography is used to measure electrostatic potential profiles across a silicon p-n junction, which has been prepared for examination in the transmission electron microscope (TEM) in two different specimen geometries using focused ion beam (FIB) milling. Results are obtained both from a conventional unbiased FIB-milled sample and using a novel sample geometry that allows a reverse bias to be applied to an FIB-milled sample in situ in the TEM. Computer simulations are fitted to the results to assess the effect of TEM specimen preparation on the charge density and the electrostatic potential in the thin sample.
Scene classification based on semantic labeling

Finding an appropriate image representation is a crucial problem in robotics. This problem has been classically addressed by means of computer vision techniques, where local and global features are used. The selection or/and combination of different features is carried out by taking into account repeatability and distinctiveness, but also the specific problem to solve. In this article, we propose the generation of image descriptors from general purpose semantic annotations. This approach has been evaluated as source of information for a scene classifier, and specifically using Clarifai as the semantic annotation tool. The experimentation has been carried out using the ViDRILO toolbox as benchmark, which includes a comparison of state-of-the-art global features and tools to make comparisons among them. According to the experimental results, the proposed descriptor performs similarly to well-known domain-specific image descriptors based on global features in a scene classification task. Moreover, the proposed descriptor is based on generalist annotations without any type of problem-oriented parameter tuning.
Illuminance prediction through statistical models

A reliable forecast of renewable energies production, like solar radiation, is required for planning, managing, and operating power grids. Besides, the short-term prediction of the climatic conditions is very useful for many other purposes (e.g., for Climate Sensitive Buildings). Data for the prediction can be produced by several sources (satellite and ground images, numerical weather predictions, ground measurement stations) with different resolution in time and space. However, the unsteadiness of the weather phenomena and the variability of the climate make the prediction a difficult task, although the data collected in the past can be used to capture the daily and seasonal variability. In this paper, several autoregressive models (namely, AR, ARMA, and ARTMA) are challenged on a two-year ground solar illuminance dataset measured in Milan, and the results are compared with those of simple predictor and results in literature.
Examining the profiles of the donor and nondonor through a multiple discriminant approach

This study aggregates previously identified characteristics with new demographic and behavioral factors. These variables were evaluated through multiple discriminant analysis which objectively selects those characteristics that best discriminate donors from nondonors. Results indicate that donors tend to be male, married with children, have rarer blood types, low‐self esteem, low risk‐takers, very concerned with health, and better educated. Nondonors showed the opposite characteristics.
Prevention of Postoperative Cerebrospinal Fluid Leaks After Translabyrinthine Tumor Resection With Resorbable Mesh Cranioplasty

Objectives: To evaluate the effectiveness of resorbable mesh cranioplasty at reducing postoperative cerebrospinal fluid (CSF) leak and pseudomeningocele formation after translabyrinthine tumor resection. Study Design: Case series with chart review. Setting: Tertiary academic referral center. Patients: Fifty-three consecutive cases using a resorbable mesh cranioplasty after translabyrinthine tumor resection were reviewed. Intervention: Temporal bone defects were repaired with a dural substitute, layered fat graft, and a resorbable mesh plate secured with screws. Main Outcome Measures: Primary outcome measures included the incidence of postoperative CSF wound leak or rhinorrhea, pseudomeningocele formation, and surgical site infection. Results: Fifty-three cases (average age, 54.0 yr; range, 19.3–75.1 yr) were analyzed. The average body mass index was 30.8 kg/m2 (range, 17.9–48.3 kg/m2), and the average tumor size was 18.8 mm (range, 8–38 mm). One patient (1.9%) experienced CSF rhinorrhea on postoperative Day 16, which resolved after transmastoid middle ear and eustachian tube packing. One patient (1.9%) experienced a surgical site infection requiring surgical debridement and mesh removal 4 months after surgery. Compared with 1,441 prior translabyrinthine surgeries analyzed from our institution using a traditional fat graft closure without mesh, the rate of postoperative CSF leak was significantly less using the resorbable mesh cranioplasty technique (p = 0.0483). Conclusion: Resorbable mesh cranioplasty is a safe and effective method to reduce postoperative CSF leak and pseudomeningocele formation after translabyrinthine craniotomy for tumor excision.
Structural Analysis of Catalase from Two Musa Accessions, FHIA18 and Williams, and from Ravenala madagascariensis

Nucleotide sequences of catalase were obtained following amplification using specific primers and were blasted against Musa acuminata catalase 2 mRNA from NCBI (157418810). Clustering of the amino acid sequences from NCBI was done using Clustal X. The latter revealed that FHIA18 catalase is more related to Ravenala madagascariensis (Musa relative) catalase while the Williams catalase is more related to a clade containing a Musa acuminata (Musa ancestor) catalase from NCBI. The tertiary structures and the catalase consensus functional sites, based on the Pseudomonas syringae catalase structural template, were obtained for FHIA18, Williams, Ravenala madagascariensis and Musa acuminata catalases. They were found to differ slightly. Using known features of catalase active sites, four pre-requisite criteria were defined to find such sites: (1) Position of tyrosine axial to heme determined by X-ray diffraction, (2) 7 conserved amino acids in the active site found by sequence alignment, (3) favourable docking energy, and (4) presence of an unobstructed long tunnel that leads the ligand to the active site. Two differing potential docking sites were found for both FHIA18 and Williams that fit a maximum number of criteria. In terms of 1D sequence, the region of the docking site for Williams is within the catalase domains as seen upon NCBI blast. The counterpart of FHIA18 for the same region is not. This sequence difference between FHIA18 and Williams affects the best docking site in FHIA18 and Williams in silico.
Magnetic Sensing System Design for Intelligent Vehicle Guidance

This paper presents the magnetic sensing system design for intelligent vehicle guidance. The sensing system based on magnetoresistive sensor is reliable, robust, and low cost. Roadway characteristics and transportation information are provided by using magnetic marker coding method. The magnetic field ratio method in combination with the sequencing method is proposed to calculate the lateral offset of the intelligent vehicle with high measurement accuracy.
Increased analytical sensitivity of RT‐PCR of PSA mRNA decreases diagnostic specificity of detection of prostatic cells in blood

The diagnostic specificity of the detection of disseminated prostatic cells by reverse‐transcriptase polymerase chain reaction (RT‐PCR) of PSA mRNA was investigated. A sensitive nested PCR was developed. In blood samples from 10 healthy female and 10 healthy male persons examined by RT‐PCR, mRNA of PSA was detected 3 times in each group. In the groups of patients suffering from benign prostate hyperplasia and prostate cancer, 6 of 11 and 5 of 12, respectively, gave positive RT‐PCR results. With increasing analytical sensitivity of the RT‐PCR of PSA mRNA, the diagnostic specificity of the assay is decreased. Further development of this diagnostic method requires the introduction of the quantitative PCR which may make possible discrimination between prostatic and non‐prostatic source of PSA mRNA by quantification. © 1997 Wiley‐Liss, Inc.
Modified laboratory culture techniques for the European cuttlefish Sepia officinalis.

The cuttlefish Sepia officinalis Linnaeus, 1758, is an important model for a variety of biological and biomedical investigations (1). To introduce this organism to the North American research communities, and make it readily available, various methods have been used to maintain or culture the species. The most intensive efforts and successes have been achieved by Forsythe and colleagues at the University of Texas Medical Branch in Galveston (2,3). Their most noteworthy achievement was to culture seven consecutive generations in large-scale recirculating seawater systems. Recently, cuttlefish were brought to the Marine Resources Center (MRC) of the Marine Biological Laboratory, where they have also been cultured successfully through their life cycle. Presently the third laboratory generation is under culture. Unlike previous work on Sepia culture in the United States, our focus has been to use a mostly open (flow-through) seawater system modified to function well through a northern winter, and to develop feeding methods that are suitable for our locale.
Genome-wide analysis of longevity in nutrient-deprived Saccharomyces cerevisiae reveals importance of recycling in maintaining cell viability.

Although typically cosseted in the laboratory with constant temperatures and plentiful nutrients, microbes are frequently exposed to much more stressful conditions in their natural environments where survival and competitive fitness depend upon both growth rate when conditions are favourable and on persistence in a viable and recoverable state when they are not. In order to determine the role of genetic heterogeneity in environmental fitness we present a novel approach that combines the power of fluorescence-activated cell sorting with barcode microarray analysis and apply this to determining the importance of every gene in the Saccharomyces cerevisiae genome in a high-throughput, genome-wide fitness screen. We have grown > 6000 heterozygous mutants together and exposed them to a starvation stress before using fluorescence-activated cell sorting to identify and isolate those individual cells that have not survived the stress applied. Barcode array analysis of the sorted and total populations reveals the importance of cellular recycling mechanisms (autophagy, pexophagy and ribosome breakdown) in maintaining cell viability during starvation and provides compelling evidence for an important role for fatty acid degradation in maintaining viability. In addition, we have developed a semi-batch fermentor system that is a more realistic model of environmental fitness than either batch or chemostat culture. Barcode array analysis revealed that arginine biosynthesis was important for fitness in semi-batch culture and modelling of this regime showed that rapid emergence from lag phase led to greatly increased fitness. One hundred and twenty-five strains with deletions in unclassified proteins were identified as being over-represented in the sorted fraction, while 27 unclassified proteins caused a haploinsufficient phenotype in semi-batch culture. These methods thus provide a screen to identifying other genes and pathways that have a role in maintaining cell viability.
A LOW COST METHODOLOGY APPLIED TO REMANUFACTURING OF ROBOTIC MANIPULATORS

Nowadays, an increasing number of robotic manipulators are discarded on the factory floor, because they are classified as unserviceable equipment, while still being able to be reused. This problem occurs due to the fact that robot manufacturers use fully closed architecture control to their hardware and software systems. Thus, there is no interchangeability between the control cabinets and the mechanical manipulators, which make the repairs, modifications and implementations to system more expensive, due to these processes being dependent of each manufacturer. This paper proposes a low cost methodology for the implementation of remanufacturing industrial robotic manipulators. In this methodology, mechanical components can be reused and its control systems are adapted to new technologies. Thus, the hardware devices are interchangeable with other processes and the programming language is not proprietary and can be easily modified or replaced by another. Keywords—robotics manipulators, remanufacturing and open architecture. Anais do XX Congresso Brasileiro de Automática Belo Horizonte, MG, 20 a 24 de Setembro de 2014
The 2007 Nazko, British Columbia, Earthquake Sequence: Injection of Magma Deep in the Crust beneath the Anahim Volcanic Belt

On 9 October 2007, an unusual sequence of earthquakes began in central British Columbia about 20 km west of the Nazko cone, the most recent (circa 7200 yr) volcanic center in the Anahim volcanic belt. Within 25 hr, eight earthquakes of magnitude 2.3-2.9 occurred in a region where no earthquakes had previously been recorded. During the next three weeks, more than 800 microearthquakes were located (and many more detected), most at a depth of 25-31 km and within a radius of about 5 km. After about two months, almost all activity ceased. The clear P- and S-wave arrivals indicated that these were high-frequency (volcanic-tectonic) earthquakes and the b value of 1.9 that we calculated is anomalous for crustal earthquakes but consistent with volcanic-related events. Analysis of receiver functions at a station immediately above the seismicity indicated a Moho near 30 km depth. Precise relocation of the seismicity using a double-difference method suggested a horizontal migration at the rate of about Graphic, with almost all events within the lowermost crust. Neither harmonic tremor nor long-period events were observed; however, some spasmodic bursts were recorded and determined to be colocated with the earthquake hypocenters. These observations are all very similar to a deep earthquake sequence recorded beneath Lake Tahoe, California, in 2003-2004. Based on these remarkable similarities, we interpret the Nazko sequence as an indication of an injection of magma into the lower crust beneath the Anahim volcanic belt. This magma injection fractures rock, producing high-frequency, volcanic-tectonic earthquakes and spasmodic bursts.
Thymine DNA Glycosylase (TDG) is involved in the pathogenesis of intestinal tumors with reduced APC expression

Thymine DNA Glycosylase (TDG) is a base excision repair enzyme that acts as a thymine and uracil DNA N-glycosylase on G:T and G:U mismatches, thus protecting CpG sites in the genome from mutagenesis by deamination. In addition, TDG has an epigenomic function by removing the novel cytosine derivatives 5-formylcytosine and 5-carboxylcytosine (5caC) generated by Ten-Eleven Translocation (TET) enzymes during active DNA demethylation. We and others previously reported that TDG is essential for mammalian development. However, its involvement in tumor formation is unknown. To study the role of TDG in tumorigenesis, we analyzed the effects of its inactivation in a well-characterized model of tumor predisposition, the ApcMin mouse strain. Mice bearing a conditional Tdgflox allele were crossed with Fabpl::Cre transgenic mice, in the context of the ApcMin mutation, in order to inactivate Tdg in the small intestinal and colonic epithelium. We observed an approximately 2-fold increase in the number of small intestinal adenomas in the test Tdg-mutant ApcMin mice in comparison to control genotypes (p=0.0001). This increase occurred in female mice, and is similar to the known increase in intestinal adenoma formation due to oophorectomy. In the human colorectal cancer (CRC) TCGA database, the subset of patients with TDG and APC expression in the lowest quartile exhibits an excess of female cases. We conclude that TDG inactivation plays a role in intestinal tumorigenesis initiated by mutation/underexpression of APC. Our results also indicate that TDG may be involved in sex-specific protection from CRC.
TRUST CALCULATION Semantic Agreement for Ontology Integration

The Semantic Web is generally envisioned as a vast collection of document em­ bedded knowledge that makes it highly improbable lor agents traversing this space to know directly what entity, person, or organisation they are dealing with. In such an environment, the explicit representation of trust becomes an intrin­ sic part of calculating whether an agent can believe and use (or reuse) foreign sources. A key activity in this process is the step of integrating an agent's on­ tology with that of another document found on the Web. To assist in calculating trust values for this puipose. Riposte provides a set of trust models and trust ma­ nipulation algorithms to create a dynamic model of author trust based on work that is being provided to an agent. Riposte is an ontology integration tool that uses suggestions and bases trust on whether an object in the provided ontology confirms or refutes current beliefs. The author can be assigned an initial trust value and this value is recalculated after the integration process.
Deep divergence-based clustering

A promising direction in deep learning research is to learn representations and simultaneously discover cluster structure in unlabeled data by optimizing a discriminative loss function. Contrary to supervised deep learning, this line of research is in its infancy and the design and optimization of a suitable loss function with the aim of training deep neural networks for clustering is still an open challenge. In this paper, we propose to leverage the discriminative power of information theoretic divergence measures, which have experienced success in traditional clustering, to develop a new deep clustering network. Our proposed loss function incorporates explicitly the geometry of the output space, and facilitates fully unsupervised training end-to-end. Experiments on real datasets show that the proposed algorithm achieves competitive performance with respect to other state-of-the-art methods.
Classification of Two Types of Cancer Based on Microarray Data

Microarray gene expression data has a high dimensionality, e.g. small number of samples with large number of genes. Using machine learning techniques for knowledge discovery in such data become a rich area for researchers. This large number of genes, not all has the useful information that can be used to perform a certain diagnostic test, so feature selections become very important in both research and application communities of data mining. This paper proves the importance of finding the most informative genes in the database by using statistical gene selection technique to achieve a reduction in time, cost and increase the efficiency of the classifier. We applied T-Test statistical feature selection technique and K-Nearest neighbor (KNN) classifier on two public microarray data sets, SRBCT and Leukemia datasets. The feature selection is done on the whole available datasets and the data reduction results are then divided into training and testing and supplemented to the KNN classifier for cancer classification. The results showed that the T-test with KNN reached a test classification accuracy of 100% by the highest ranked 26 genes and 97.06% using the highest ranked 10 genes, for SRBCT and Leukemia respectively.
La FAO, organisation des Nations Unies pour l'alimentation et l'agriculture

La faim est une des plus anciennes, mais aussi une des pires calamites que l'humanite ait jamais eu a combattre. Une ent tite internationale a ete mise sur pied pour lutter contre ce fleau. C'est la f. A. O. , organisation des nations unies pour l'alimentation t l'agriculture. Le pari est ambitieux et le parcours parseme d'embuches qui ont pour nom : inertie et perversion. Pourtant grace a une auto-regulation permanente, la f. A. O. A su suffisamment se regenerer pour ne pas faillir a sa mission : favoriser l'amelioration de l'alimentation mondiale et encourager le developpement planetaire de l'agriculture
Cooperative area search for multiple UAVs based on RRT and decentralized receding horizon optimization

This paper presents a decentralized method to the problem of multiple Unmanned Aerial Vehicles (UAVs) cooperative search of an unknown area. Firstly, based on search map model, the multiple UAVs cooperative search problem is posed as a receding horizon (RH) optimization decision problem, and a RH based UAV search decision process is proposed. Then, this centralized on-line optimization problem is partitioned into several UAV subsystems optimization problems and solved in a parallel manner using a Nash optimality based decentralized RH optimization method, and Particle Swarm Optimization (PSO) is used for subsystem optimization. Next, by introducing the heuristic information and improving the extension of node, a modified Rapidly-exploring Random Tree (RRT) based path planning algorithm is presented to the UAV search path planning. It is shown by simulation that the proposed method can reduce the size of multiple UAVs optimization decision problem, and lead to an efficient cooperative search for multiple UAVs.