Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation

We introduce a new loss function for the weakly-supervised training of semantic image segmentation models based on three guiding principles: to seed with weak localization cues, to expand objects based on the information about which classes can occur in an image, and to constrain the segmentations to coincide with object boundaries. We show experimentally that training a deep convolutional neural network using the proposed loss function leads to substantially better segmentations than previous state-of-the-art methods on the challenging PASCAL VOC 2012 dataset. We furthermore give insight into the working mechanism of our method by a detailed experimental study that illustrates how the segmentation quality is affected by each term of the proposed loss function as well as their combinations.Comment: ECCV 201

Logarithmically-concave moment measures I

We discuss a certain Riemannian metric, related to the toric Kahler-Einstein equation, that is associated in a linearly-invariant manner with a given log-concave measure in R^n. We use this metric in order to bound the second derivatives of the solution to the toric Kahler-Einstein equation, and in order to obtain spectral-gap estimates similar to those of Payne and Weinberger.Comment: 27 page

Effect of water deficit on maize seeds (Zea mays L.) during germination

Received: October 29th, 2022 ; Accepted: March 23rd, 2023 ; Published: April 14th, 2023 ; Correspondence: [email protected] climate changes cause the frequent recurrence of droughts, which reduce crop production more than any other environmental factor. This study was conducted to access the effect of water deficit on maize seeds (Zea mays L.) DKC 5143 hybrid during germination. The tasks were to assess the influence of different rank of osmotic stress on the maize lipid peroxidation (LPO), proline content, catalase and aminotransferases activities, and morphometric parameters during the early stages of maize seeds germination. The maize seeds were exposed to five levels of water availability which produced by PEG-1500 solutions (0, 20, 50, 100, 200 g L-1 ). Seeds of maize were germinated on Petri dishes for 7 days under controlled parameters. Amounts of TBARS were increased in maize sprouted seeds by 1.9 times, coleoptiles by 1.4 times, and in roots - by 1.9 times under water deficit. Proline content increased by 9.2 times in coleoptiles and by 6.0 times in 7 days maize roots while PEG-1500 (200 g L–1 ) treatment. An increasing of catalase (CAT), aminotransferases (ALT, AST) activities according to osmotic potential value was also observed. A remarkable development of maize oxidative reaction was associated with a significant reduction in emergence, wet weight and length of water-stressed plants. These results assume that the maize adaptive strategy to osmotic stress during germination was found in the activation of LPO and antioxidant components. The findings provide useful help for correcting the stress state of maize using osmotically active regulators

Confidential Boosting with Random Linear Classifiers for Outsourced User-generated Data

User-generated data is crucial to predictive modeling in many applications. With a web/mobile/wearable interface, a data owner can continuously record data generated by distributed users and build various predictive models from the data to improve their operations, services, and revenue. Due to the large size and evolving nature of users data, data owners may rely on public cloud service providers (Cloud) for storage and computation scalability. Exposing sensitive user-generated data and advanced analytic models to Cloud raises privacy concerns. We present a confidential learning framework, SecureBoost, for data owners that want to learn predictive models from aggregated user-generated data but offload the storage and computational burden to Cloud without having to worry about protecting the sensitive data. SecureBoost allows users to submit encrypted or randomly masked data to designated Cloud directly. Our framework utilizes random linear classifiers (RLCs) as the base classifiers in the boosting framework to dramatically simplify the design of the proposed confidential boosting protocols, yet still preserve the model quality. A Cryptographic Service Provider (CSP) is used to assist the Cloud's processing, reducing the complexity of the protocol constructions. We present two constructions of SecureBoost: HE+GC and SecSh+GC, using combinations of homomorphic encryption, garbled circuits, and random masking to achieve both security and efficiency. For a boosted model, Cloud learns only the RLCs and the CSP learns only the weights of the RLCs. Finally, the data owner collects the two parts to get the complete model. We conduct extensive experiments to understand the quality of the RLC-based boosting and the cost distribution of the constructions. Our results show that SecureBoost can efficiently learn high-quality boosting models from protected user-generated data

Сutting tools. Drilling and milling

The objective of this handbook is to provide a student understanding of conventional cutting processes applied to metallic workpieces, such as drilling and milling . The definition of tool geometry, cutting processes movements, machining regime elements are considered. The main types of drills and mill cutters are described

LABOR PRODUCTIVITY AS A PRODUCTION EFFICIENCY FACTOR

El objetivo de esta investigación es estudiar el factor de eficiencia y la productividad laboral. En gran medida, el nivel de productividad laboral creció debido a la intensificación de la producción. Al mismo tiempo, según Rosstat, en agricultura, silvicultura y pesca solo hay un 8% de empleos altamente eficientes. Por lo tanto, el factor de intensificación de la producción se utiliza de manera insignificante. Es obvio que hay una necesidad de un componente innovador del crecimiento de la productividad laboral, por un lado, y la creación de nuevos empleos en las zonas rurales para los recursos laborales liberados, por otro lado. Aquí es necesario determinar los principales factores que afectan la productividad en las condiciones modernas, y justificar las propuestas para mejorarla.Of the goal of this investigation is to study the efficiency factor and labor productivity. To a large extent, the level of labor productivity grew due to the intensification of production. At the same time, according to Rosstat, in agriculture, forestry and fisheries there are only 8% of high-efficient jobs. Thus, the factor of production intensification is used insignificantly. It is obvious that there is a need for an innovative component of labor productivity growth on the one hand, and the creation of new jobs in rural areas for the released labor resources, on the other hand. Here it is necessary to determine the main factors affecting productivity in modern conditions, and to justify proposals to improve it.O objetivo desta investigação é estudar o fator de eficiência e a produtividade do trabalho. Em grande medida, o nível de produtividade do trabalho aumentou devido à intensificação da produção. Ao mesmo tempo, segundo Rosstat, na agricultura, silvicultura e pesca, existem apenas 8% dos empregos de alta eficiência. Assim, o fator de intensificação da produção é usado de forma insignificante. É óbvio que é necessário um componente inovador do crescimento da produtividade do trabalho, por um lado, e a criação de novos empregos nas áreas rurais para os recursos liberados, por outro. Aqui é necessário determinar os principais fatores que afetam a produtividade nas condições modernas e justificar propostas para melhorá- la

Account for the contribution of higher vibration modes under seismic resistance estimation of system with elastomeric supports by nonlinear static method

The article presents higher vibration modes accounting method to evaluate system seismic resistance by nonlinear static method. As part of the study, in order to verify the proposed method for finding the inertial forces modified system series of dynamic and static calculations was performed. Proposed inertial forces modified system can be applied for seismic resistance estimation of system with elastomeric supports. The results difference varies within 12%. © 2020 Published under licence by IOP Publishing Ltd

N/V-limit for Langevin dynamics in continuum

We construct an infinite particle/infinite volume Langevin dynamics on the space of configurations in $\R^d$ having velocities as marks. The construction is done via a limiting procedure using $N$-particle dynamics in cubes $(-\lambda,\lambda]^d$ with periodic boundary conditions. A main step to this result is to derive an (improved) Ruelle bound for the canonical correlation functions of $N$-particle systems in $(-\lambda,\lambda]^d$ with periodic boundary conditions. After proving tightness of the laws of finite particle dynamics, the identification of accumulation points as martingale solutions of the Langevin equation is based on a general study of properties of measures on configuration space (and their weak limit) fulfilling a uniform Ruelle bound. Additionally, we prove that the initial/invariant distribution of the constructed dynamics is a tempered grand canonical Gibbs measure. All proofs work for general repulsive interaction potentials $\phi$ of Ruelle type (e.g. the Lennard-Jones potential) and all temperatures, densities and dimensions $d\geq 1$

Two-scale localization in disordered wires in a magnetic field

Calculating the density-density correlation function for disordered wires, we study localization properties of wave functions in a magnetic field. The supersymmetry technique combined with the transfer matrix method is used. It is demonstrated that at arbitrarily weak magnetic field the far tail of the wave functions decays with the length $L_{{\rm cu}}=2L_{{\rm co}}$, where $L_{{\rm co}}$ and $L_{{\rm cu}}$ are the localization lengths in the absence of a magnetic field and in a strong magnetic field, respectively. At shorter distances, the decay of the wave functions is characterized by the length $L_{{\rm co}}$. Increasing the magnetic field broadens the region of the decay with the length $L_{{\rm cu}}$, leading finally to the decay with $L_{{\rm cu}}$ at all distances. In other words, the crossover between the orthogonal and unitary ensembles in disordered wires is characterized by two localization lengths. This peculiar behavior must result in two different temperature regimes in the hopping conductivity with the boundary between them depending on the magnetic field.Comment: 4 page

Gene of folate cycle MTHFR and nutrition

Climatic and geographical features always influenced on adaptation to the environment as well as the development level of economy and culture. The formation of certain food behavior in population determined fixation of specific gene alleles and mutation. They were responsible for digestion a typical food for the population. At the moment there is information about such genetic features as metabolism of proteins, carbohydrates and fats for many races and nations. But a few studies are about causes of prevalence differences of gene polymorphisms of folate cycle in the world's populations. The main objective was to explore 677C>T mutation MTHFR gene among Russian and Buryat to compare it with ones in other populations. The total of399 children and adolescents (200 Russians and 199 Buryats) were involved in this study. Genotyping of MTHFR 677C>T was performed by PCR-RT We used soft "STATISTICA 8.0" to compare results. As a result, T-allele frequency was 30 % in Russians and 21,1 % in Buryats. We found significant differences of prevalence of polymorphism 677C>T between studied groups (p = 0.011). Also we found significant difference between Russian and British (p = 0.054), French (p = 0.0263), Spanish (p < 0.0001), Italian (p < 0.0001) and Greek samples (p = 0.0454). The Buryat group had significant differences with Chinese (p < 0.0001), Korean (p < 0.0001), Mongolian (p < 0.004), Japanese (p < 0.0001), Kazakh (p = 0.0198) samples and two samples of Hans (p < 0.0001; p = 0.0390)