Miracle-dz/UniFAR-FTUs huggingface dataset:
Photobacterium damselae subsp . damselae , an emerging fish 4 pathogen in the Black Sea : evidences of a multiclonal origin 5

pathogen in the Black Sea: evidences of a multiclonal origin 5 Mateus S. Terceti, Hamdi Ogut & Carlos R. Osorio* 6 7 Instituto de Acuicultura, Universidade de Santiago de Compostela, Santiago de Compostela, Galicia, 8 Spain; 9 2 Bursa Technical University, Faculty of Natural Sciences, Architecture and Engineering, Department of 10 Bioengineering, Bursa, Turkey 11 12 13 14 15 Running Title: P. damselae subsp. damselae in the Black Sea 16 17 18 *For correspondence: Carlos R. Osorio 19 Departamento de Microbioloxía e Parasitoloxía, Instituto de Acuicultura, Universidade 20 de Santiago de Compostela, 15782 Santiago de Compostela, Spain 21 Email: cr.osorio@usc.es 22 Tel. (+34) 881 816050 23 Fax. (+34) 881 816047 24 25 26 27 28 29 30 31 32 AEM Accepted Manuscript Posted Online 15 April 2016 Appl. Environ. Microbiol. doi:10.1128/AEM.00781-16 Copyright © 2016, American Society for Microbiology. All Rights Reserved.
Train ( Forward ) Train ( Backward ) Test Conv Conv Conv Conv Conv Conv Conv Conv Conv Conv Conv Conv

This paper proposes a powerful regularization method named ShakeDrop regularization. ShakeDrop is inspired by Shake-Shake regularization that decreases error rates by disturbing learning. While Shake-Shake can be applied to only ResNeXt which has multiple branches, ShakeDrop can be applied to not only ResNeXt but also ResNet, Wide ResNet and PyramidNet in a memory efficient way. Important and interesting feature of ShakeDrop is that it strongly disturbs learning by multiplying even a negative factor to the output of a convolutional layer in the forward training pass. The effectiveness of ShakeDrop is confirmed by experiments on CIFAR-10/100 and Tiny ImageNet datasets.
I. On the structure and development of the skull in the mammalia.— Part II. Edentata

Stnce my first attem pt to work out the Mammalian type of skull, the greater part of my time has been spent upon Cold-blooded Vertebrata—Fishes, Amphibia, and Reptiles. But between the early part of 1873, when my paper on the skull of the Pig was presented to the Royal Society, to the beginning of 1882, when I was able to take up this Class . once more, no time or chance was lost as far as materials for work go ; during those nine years a very large collection of embryos and of early young of the various types of Mammalia was made.
FELDSPAR THERMOMETRY OF GRENVILLIAN-AGE UHT MIGMATITES, MOLLENDO–CAMANA BLOCK, SOUTHERN PERU

Feldspar thermometry was applied to the leucosome fraction of the 4000 km 2 Mollendo–Camana UHT migmatite complex, a part of the Grenvillian basement of the Peruvian Andes. The Mollendo–Camana stromatic migmatites consist of a quartz-bearing, K-feldspar-rich and plagioclase-poor anhydrous leucosome interlayered with a melanosome containing Al-rich orthopyroxene + sillimanite. In most domains of melanosome, the high Al content of orthopyroxene attests to UHT metamorphic conditions. The composition of the leucosome is far from the minimum melting of H 2 O-undersaturated granite at high temperature. Moreover, the absence of back reactions at the leucosome–melanosome interface shows that saturation in H 2 O was not attained during cooling. This indicates that the leucosome, although likely the locus of partial melting, is a K-rich cumulate left over after extraction of H 2 O-bearing, probably Na-bearing melts, most of which probably resulted from vapor-absent melting of micas. The thermal history of the leucosome fraction is better understood thanks to improved versions of the feldspar ternary solvus and correction routines for post-crystallization diffusion of elements: after re-integration of exsolved phases and correction for Na–K exchange between K-feldspar and plagioclase, equilibrium compositions (and hence temperatures) of feldspar pairs can be obtained. Temperatures for K-feldspar – plagioclase pairs (42 samples) range from 963° to 717°C, with a large population around 860°C. These temperatures are systematically lower and have a wider spread than those recorded by Al-orthopyroxene thermometry ( ca. 1000°C) in adjacent bodies of melanosome. The highest two-feldspar temperatures straddle the liquidus of quasi-anhydrous haplogranites, suggesting the coexistence under UHT conditions of solid melanosome, largely consolidated leucosome and eventually minor amounts of highly viscous haplogranitic (and syenitic) melts. The lowest feldspar-based temperatures are from strained rocks that otherwise preserved Al-rich (high-T) orthopyroxene. This suggests deformation-induced redistribution of Al–Ca in the feldspar structure by dislocation creep and recrystallization of K-feldspar and plagioclase crystals. Consequently, inasmuch as they were involved in high-T to UHT deformation, ternary feldspars did not survive, and recrystallized as feldspar pairs that record an array of temperatures that can be more than 200°C lower than peak conditions.
SIGMOD officers, committees, and awardees

A fitting algorithm for conjunctive queries (CQs) is an al-gorithm that takes as input a collection of data examples and outputs a CQ that fits the examples. In this column, we propose a set of desirable properties of such algorithms and use this as a guide for surveying results from the authors’ recent papers published in PODS 2023, IJCAI 2023, and Inf. Proc. Letters 2024. In particular, we explain and compare several concrete fitting algorithms, and we discuss complexity and size bounds for constructing fitting CQs with desirable properties.
Price-Level versus Inflation Targeting in a Small Open Economy

This paper compares two types of monetary policy: price-level targeting and inflation targeting. It reviews recent arguments that favour price-level targeting, and examines how certain factors, such as the nature of the shocks affecting the economy and the degree to which agents are forward-looking, bear upon the arguments. The paper then extends the analysis to a small open economy such as Canada's, and considers whether it is practical for this country to pursue price-level targets if its dominant trading partner, the United States, allows the price level to drift.
Bioacumulação de urânio em plantas aquáticas na região da Horta da Vilariça (NE de Portugal)

Na medida em que todas as obras da UC Digitalis se encontram protegidas pelo Código do Direito de Autor e Direitos Conexos e demais legislação aplicável, toda a cópia, parcial ou total, deste documento, nos casos em que é legalmente admitida, deverá conter ou fazer-se acompanhar por este aviso. Bioacumulação de urânio em plantas aquáticas na região da Horta da Vilariça (NE de Portugal) Autor(es): Cordeiro, C. ; Favas, P. J. C. ; Pratas, J. Publicado por: Imprensa da Universidade de Coimbra URL persistente: URI:http://hdl.handle. net/10316.2/31474 DOI: DOI:http://dx.doi. org/10.14195/978-989-26-0531-9_35
End-to-side Anastomosis of Superficial Temporal Artery to Middle Cerebral Artery Branch in the Dog

Summary Extracranial-intracranial arterial shunting pro cedures may augment collateral blood supply to the brain. Evaluation of the effect of such shunt ing procedures on the course of occlusive cere brovascular disease has been impaired by the ab sence of a suitable experimental model. The pre sent report describes the technique of end-to-side anastomosis of superficial temporal artery to middle cerebral branch artery in the dog. Tech nical manoeuvres which have made this procedure feasible are described. The method avoids mani pulation (or sacrifice) of lenticulo-striate vessels. A 63.6 % patency rate was achieved (7 of 11 ani mals). This experimental model is useful in the evaluation of extracranial-intracranial shunting procedures in the treatment of cerebrovascular disease.
GTP-binding properties of the membrane-bound form of porcine liver annexin

Annexin VI (AnxVI) of molecular mass 68–70 kDa belongs to a multigenic family of ubiquitous Ca 2+ and phospholipid-binding proteins. In this report, we describe the GTP-binding properties of porcine liver AnxVI, determined with a fluorescent GTP analogue, 2 -(or 3’)-O-(2,4,6-trinitrophenyl)guanosine 5 -triphosphate (TNP-GTP). The optimal binding of TNP-GTP to AnxVI was observed in the presence of Ca 2+ and asolectin liposomes, as evidenced by a 5.5-fold increase of TNP-GTP fluorescence and a concomitant blue shift (by 17 nm) of its maximal emission wavelength. Titration of AnxVI with TNP-GTP resulted in the determination of the dissociation constant (Kd) and binding stoichiometry that amounted to 1.3 M and 1:1 TNP-GTP/AnxVI, mole/mole, respectively. In addition, the intrinsic fluorescence of the membranebound form of AnxVI was quenched by TNP-GTP and this was accompanied by fluorescence resonance energy transfer (FRET) from AnxVI Trp residues to TNP-GTP. This indicates that the GTP-binding site within the AnxVI molecule is probably located in the vicinity of a Trp-containing domain of the protein. By controlled proteolysis of human recombinant AnxVI, followed by purification of the proteolytic fragments by affinity chromatography on GTP-agarose, we isolated a 35 kDa fragment corresponding to the N-terminal half of AnxVI containing Trp 192 . On the basis of these results, we suggest that AnxVI is a GTP-binding protein and the binding of the nucleotide may have a regulatory impact on the interaction of annexin with membranes, e.g. formation of ion channels by the protein. Vol. 48 No. 4/2001
Optimization of water supply reservoir in the framework of climate variation

This paper proposed a new methodology adaptation for the Pedu-Muda reservoir operation policies to enhance the capability and reliability of the reservoir operation fit to the climate change impact. These reservoirs are responsible to irrigate water supply for the largest double paddy cultivation area in Malaysia - the Muda Irrigation Scheme as staple food among people. In this study, statistical downscaling model (SDSM) was used to project the changes in climate trend for the study area, a hydrological model was used to simulate the runoff under projected change in climate, and a crop water model was used to re-arrange the crop water demand for two-times cultivation season. Two optimization models were applied; NSGA-II and LP model represents as evolutionary algorithm and classical method respectively to enhance the reservoir workability under changing climate. As a result, the rule-curves were proposed as guidelines to the operators for long-term reservoir operation. The performances of these models were compared via reliability, resilience, and vulnerability index. The results revealed that both optimization models were successful in theory to provide more/sufficient water for the irrigation purposes more than 4% than historical record. The system can also reduce the water transfer from Muda reservoir and water spill of Pedu reservoir. By performance results, the NSGA-II model showed a better improvement in the reservoir operation system and mitigated possible water crisis sufficiently due to climate change rather than LP model.
Deductive Planning and Composite Actions in Temporal Action Logic

Temporal Action Logic is a well established logical formalism for reasoning about action and change that has long been used as a formal specification language. Its first-order characterization and explicit time representation makes it a suitable target for automated theorem proving and the application of temporal constraint solvers. We introduce a translation from a subset of Temporal Action Logic to constraint logic programs that takes advantage of these characteristics to make the logic applicable, not just as a formal specification language, but in solving practical reasoning problems. Extensions are introduced that enable the generation of action sequences, thus paving the road for interesting applications in deductive planning. The use of qualitative temporal constraints makes it possible to follow a least commitment strategy and construct partially ordered plans. Furthermore, the logical language and logic program translation is extended with the notion of composite actions that can be used to formulate and execute scripted plans with conditional actions, non-deterministic choices, and loops. The resulting planner and reasoner is integrated with a graphical user interface in our autonomous helicopter research system and applied to logistics problems. Solution plans are synthesized together with monitoring constraints that trigger the generation of recovery actions in cases of execution failures.
OPTIMIZING BONE MASS AND STRENGTH: THE ROLE OF PHYSICAL ACTIVITY AND NUTRITION DURING GROWTH (MEDICINE & SPORT SCIENCE, VOL 51)

AUDIENCE: Exercise specialists, pediatricians, nutritionists, biomedical researchers, sports medics and any public health professional will find this book very helpful when dealing with optimizing bone development and/or maintaining bone health. FEATURES: The featured subjects are: Osteoporosis: A Pediatric Concern? ; The Biomechanical Basis of Bone Strength Development during Growth; The Effect of Exercise on Bone Mass and Structural Geometry during Growth; Evidence for an Interaction between Exercise and Nutrition for Improved Bone Health during Growth; GeneEnvironment Interactions in the Skeletal Response to Nutrition and Exercise during Growth; The Effect of Energy Balance on Endocrine Function and Bone Health in Youth; Risk Factors for Fractures in Normally Active Children and Adolescents; Does Exercise during Growth Prevent Fractures in Later Life? ; Lessons Learned from School-Based Skeletal Loading Intervention Trials: Putting Research into Practice.
Semi-supervised structured prediction models

Learning mappings between arbitrary structured input and output variables is a fundamental problem in machine learning. It covers many natural learning tasks and challenges the standard model of learning a mapping from independently drawn instances to a small set of labels. Potential applications include classification with a class taxonomy, named entity recognition, and natural language parsing. In these structured domains, labeled training instances are generally expensive to obtain while unlabeled inputs are readily available and inexpensive. This thesis deals with semi-supervised learning of discriminative models for structured output variables. The analytical techniques and algorithms of classical semi-supervised learning are lifted to the structured setting. Several approaches based on different assumptions of the data are presented. Colearning, for instance, maximizes the agreement among multiple hypotheses while transductive approaches rely on an implicit cluster assumption. Furthermore, in the framework of this dissertation, a case study on email batch detection in message streams is presented. The involved tasks exhibit an inherent cluster structure and the presented solution exploits the streaming nature of the data. The different approaches are developed into semi-supervised structured prediction models and efficient optimization strategies thereof are presented. The novel algorithms generalize state-of-the-art approaches in structural learning such as structural support vector machines. Empirical results show that the semi-supervised algorithms lead to significantly lower error rates than their fully supervised counterparts in many application areas, including multi-class classification, named entity recognition, and natural language parsing.
Governing Board

The magnitude 5.6 Scotts Mills, Oregon, earthquake was the largest recorded event in northwest Oregon. Following the earthquake the Oregon Department of Geology and Mineral Industries received nearly 5,000 intensity responses from a variety of sources. The responses were coded according to the Modified Mercalli scale of Wood and Neumann (1931), the data were entered into spreadsheets, and the intensities plotted with MapInfo~ a desktop mapping system. The resulting digital plots were handcontoured to produce a 1 :500,000-scale isointensity map of the felt area and a 1: 100,000-scale isointensity map of the Portland-Vancouver (Oregon-Washington) metropolitan area. The felt area map is similar to a previous intensity map by Dewey and others (1994), but it also shows, in several communities, increased shaking that probably resulted from amplification by poorly consolidated sediments. The isointensity map of the metropolitan area shows variations that can be correlated to local geology. Also, where the data density is adequate in the Portland quadrangle, areas of increased shaking correlate fairly well with intensities predicted for bedrock shaking with a peak acceleration of 0.03 g (equivalent to a moderate magnitude earthquake at the distance of Scotts Mills).
Effects of body condition score at calving , type of suckling restriction and fl ushing on plasmatic and productive parameters

The objective of the present experiment was to analyse the effect of body condition score (BCS) at calving, type of suckling restriction and flushing on metabolic and endocrine profiles, and productive and reproductive responses of primiparous beef cows grazing native grassland. Primiparous beef (n = 56) cows in anestrus classified by BCS at calving (low 3.5 and moderate 4; 1–8 visual scale) were assigned randomly to four treatments in a two by two factorial arrangement of type of suckling restriction and flushing. Type of suckling restriction started at 55 10 days postpartum (DPP s.e.m.; Day 0 = initiation of the treatment) and consisted of applying nose plates to calves for 12 days (i.e. TS treatment) or 5 days of isolation of the cow–calf pair, followed by applying nose plates to calves for 7 days as calves were reunited with their mothers (i.e. IS treatment). Immediately after the suckling restriction treatments were finished, the breeding season started, and each cow received (flushing group) or not (control group) 2 kg/day (fresh basis) of whole-rice middling for 22 days. TheBCSwas superior inmoderate-BCS cows through the experiment. The type of suckling restriction did not affect any plasma parameter, but insulin-like growth factor I (IGF-I) concentrations increased in all cows during suckling restriction. Cholesterol concentrationwas affected by flushing · day interaction (P < 0.05), while insulin and IGF-I concentrations were affected by the interaction among BCS at calving, flushing and days (P < 0.03). Flushing increased cholesterol concentration in both BCS groups at calving, while insulin and IGF-I concentrations increased during flushing only inmoderate-BCS cows. Suckling restriction, flushing, andBCS at calving did not affect calf weight ormilk production. Moderate BCS cows had a shorter postpartum anestrous interval (PPI) (98 vs 123 DPP; P < 0.01). Isolated type of suckling reduced postpartum anestrous interval when compared with TS treatment (97 vs 115 DPP, P < 0.05). Early pregnancy rate was greater in flushed than in control cows (0.8 vs 0.55, P < 0.01) and in moderate-BCS cows than in low-BCS cows (0.84 vs 0.46, P < 0.01). Total pregnancy rate was also greater in flushed and moderate cows and tended to be affected by the interaction betweenflushing andBCS at calving (P=0.06;flushed cows:moderate = 1 vs low= 0.5,P< 0.08; and control cows: moderate = 0.8 vs low = 0.4, P < 0.09). These results confirmed the great value of suckling restriction and flushing during post-calving and relevance of BCS at calving as a link between energetic nutrition and metabolic and reproductive processes in primiparous beef cows grazing native grassland. Additional keywords: body condition at calving, flushing, metabolic response, suckling. Received 15 June 2013, accepted 17 September 2013, published online 3 December 2013
Nonasymptotic Analysis of Semiparametric Regression Models with High-Dimensional Parametric Coefficients

We consider a two-step projection based Lasso procedure for estimating a partially linear regression model where the number of coefficients in the linear component can exceed the sample size and these coefficients belong to the l_{q}-“balls” for q in [0, 1]. Our theoretical results are nonasymptotic and include the upper bounds on the l_{2}-errors of the proposed estimators and a result on variable selection. In particular, we establish a new non-asymptotic “oracle” result: Although the prediction error of the nonparametric projection per se has the scaling t_{n} in the first step, it only contributes a scaling of t_{n}^{2} in the l_{2}-error of the second-step estimator for the linear coefficients. This new “oracle” result holds for a unified framework of nonparametric least squares procedures and regularized nonparametric least squares procedures for the first-step estimation and the driver behind it lies in the projection strategy. We specialize our analysis to the estimation of a semiparametric sample selection model and provide a simple method with theoretical guarantees for choosing the regularization parameter in practice.
Modeling Europa's dust plumes

The discovery of Jupiter's moon Europa maintaining a probably sporadic water vapor plume constitutes a huge scientific opportunity for NASA's upcoming mission to this Galilean moon. Measuring properties of material emerging from interior sources offers a unique chance to understand conditions at Europa's subsurface ocean. Exploiting results obtained for the Enceladus plume, we simulate possible Europa plume configurations, analyze particle number density and surface deposition results, and estimate the expected flux of ice grains on a spacecraft. Due to Europa's high escape speed, observing an active plume will require low‐altitude flybys, preferably at altitudes of 5–100 km. At higher altitudes a plume may escape detection. Our simulations provide an extensive library documenting the possible structure of Europa dust plumes, which can be quickly refined as more data on Europa dust plumes are collected.
Multimodal Biometric Analysis against Spoofing Attacks using Image Quality Assessment

Significant problem in biometric authentication is spoofing attacks i.e. intruder’s uses some type of synthetically produced samples and try to behave as a real user. The proposed system of Multimodal biometrics will use a mixture of up to three traits to evaluate the identity of a person. This significantly reduces the probability of admitting a pretender. The purpose of the system is to assure the presence of the real user against the synthetic or reconstructed samples using image quality assessment techniques. An IQA technique implemented based on the assumption is Quality Differences i.e. fake samples always have a different quality than real samples. Image quality measures calculated under the categories of Full Reference and No Reference. Finally calculated measures are given as an input to Quadratic Discriminant analysis (QDA) classifier to identify the real user. Objective of the proposed system is to increase the security of biometric authentication frameworks in a fast, user-friendly manner. Experimental results done in real time environments to find the image quality based on PSNR results.