Recent beyond worst-case optimal join algorithms Minesweeper and its generalization Tetris have brought the theory of indexing and join processing together by developing a geometric framework for joins. These algorithms take as input an index $mathcal{B}$, referred to as a box cover, that stores output gaps that can be inferred from traditional indexes, such as B+ trees or tries, on the input relations. The performances of these algorithms highly depend on the certificate of $mathcal{B}$, which is the smallest subset of gaps in $mathcal{B}$ whose union covers all of the gaps in the output space of a query $Q$. We study how to generate box covers that contain small size certificates to guarantee efficient runtimes for these algorithms. First, given a query $Q$ over a set of relations of size $N$ and a fixed set of domain orderings for the attributes, we give a $ ilde{O}(N)$-time algorithm called GAMB which generates a box cover for $Q$ that is guaranteed to contain the smallest size certificate across any box cover for $Q$. Second, we show that finding a domain ordering to minimize the box cover size and certificate is NP-hard through a reduction from the 2 consecutive block minimization problem on boolean matrices. Our third contribution is a $ ilde{O}(N)$-time approximation algorithm called ADORA to compute domain orderings, under which one can compute a box cover of size $ ilde{O}(K^r)$, where $K$ is the minimum box cover for $Q$ under any domain ordering and $r$ is the maximum arity of any relation. This guarantees certificates of size $ ilde{O}(K^r)$. We combine ADORA and GAMB with Tetris to form a new algorithm we call TetrisReordered, which provides several new beyond worst-case bounds. On infinite families of queries, TetrisReordered's runtimes are unboundedly better than the bounds stated in prior work.

When time-dependent partial differential equations (PDEs) are solved numerically in a domain with curved boundary or on a curved surface, mesh error and geometric approximation error caused by the inaccurate location of vertices and other interior grid points, respectively, could be the main source of the inaccuracy and instability of the numerical solutions of PDEs. The role of these geometric errors in deteriorating the stability and particularly the conservation properties are largely unknown, which seems to necessitate very fine meshes especially to remove geometric approximation error. This paper aims to investigate the effect of geometric approximation error by using a high-order mesh with negligible geometric approximation error, even for high order polynomial of order p. To achieve this goal, the high-order mesh generator from CAD geometry called NekMesh is adapted for surface mesh generation in comparison to traditional meshes with non-negligible geometric approximation error. Two types of numerical tests are considered. Firstly, the accuracy of differential operators is compared for various p on a curved element of the sphere. Secondly, by applying the method of moving frames, four different time-dependent PDEs on the sphere are numerically solved to investigate the impact of geometric approximation error on the accuracy and conservation properties of high-order numerical schemes for PDEs on the sphere.

Funding the production of quality online content is a pressing problem for content producers. The most common funding method, online advertising, is rife with well-known performance and privacy harms, and an intractable subject-agent conflict: many users do not want to see advertisements, depriving the site of needed funding.

Because of these negative aspects of advertisement-based funding, paywalls are an increasingly popular alternative for websites. This shift to a "pay-for-access" web is one that has potentially huge implications for the web and society. Instead of a system where information (nominally) flows freely, paywalls create a web where high quality information is available to fewer and fewer people, leaving the rest of the web users with less information, that might be also less accurate and of lower quality. Despite the potential significance of a move from an "advertising-but-open" web to a "paywalled" web, we find this issue understudied.

This work addresses this gap in our understanding by measuring how widely paywalls have been adopted, what kinds of sites use paywalls, and the distribution of policies enforced by paywalls. A partial list of our findings include that (i) paywall use is accelerating (2x more paywalls every 6 months), (ii) paywall adoption differs by country (e.g. 18.75% in US, 12.69% in Australia), (iii) paywalls change how users interact with sites (e.g. higher bounce rates, less incoming links), (iv) the median cost of an annual paywall access is $108 per site, and (v) paywalls are in general trivial to circumvent.

Finally, we present the design of a novel, automated system for detecting whether a site uses a paywall, through the combination of runtime browser instrumentation and repeated programmatic interactions with the site. We intend this classifier to augment future, longitudinal measurements of paywall use and behavior.

We develop a Learning Direct Optimization (LiDO) method for the refinement of a latent variable model that describes input image x. Our goal is to explain a single image x with an interpretable 3D computer graphics model having scene graph latent variables z (such as object appearance, camera position). Given a current estimate of z we can render a prediction of the image g(z), which can be compared to the image x. The standard way to proceed is then to measure the error E(x, g(z)) between the two, and use an optimizer to minimize the error. However, it is unknown which error measure E would be most effective for simultaneously addressing issues such as misaligned objects, occlusions, textures, etc. In contrast, the LiDO approach trains a Prediction Network to predict an update directly to correct z, rather than minimizing the error with respect to z. Experiments show that our LiDO method converges rapidly as it does not need to perform a search on the error landscape, produces better solutions than error-based competitors, and is able to handle the mismatch between the data and the fitted scene model. We apply LiDO to a realistic synthetic dataset, and show that the method also transfers to work well with real images.

Within the field of multilinear algebra, inverses and generalized inverses of tensors based on the Einstein product have been investigated over the past few years. In this paper, we explore the singular value decomposition and full-rank decomposition of arbitrary-order tensors using {it reshape} operation. Applying range and null space of tensors along with the reshape operation; we further study the Moore-Penrose inverse of tensors and their cancellation properties via the Einstein product. Then we discuss weighted Moore-Penrose inverses of arbitrary-order tensors using such product. Following a specific algebraic approach, a few characterizations and representations of these inverses are explored. In addition to this, we obtain a few necessary and sufficient conditions for the reverse-order law to hold for weighted Moore-Penrose inverses of arbitrary-order tensors.

In this paper, we study the problem of fair classification in the presence of prior probability shifts, where the training set distribution differs from the test set. This phenomenon can be observed in the yearly records of several real-world datasets, such as recidivism records and medical expenditure surveys. If unaccounted for, such shifts can cause the predictions of a classifier to become unfair towards specific population subgroups. While the fairness notion called Proportional Equality (PE) accounts for such shifts, a procedure to ensure PE-fairness was unknown.

In this work, we propose a method, called CAPE, which provides a comprehensive solution to the aforementioned problem. CAPE makes novel use of prevalence estimation techniques, sampling and an ensemble of classifiers to ensure fair predictions under prior probability shifts. We introduce a metric, called prevalence difference (PD), which CAPE attempts to minimize in order to ensure PE-fairness. We theoretically establish that this metric exhibits several desirable properties.

We evaluate the efficacy of CAPE via a thorough empirical evaluation on synthetic datasets. We also compare the performance of CAPE with several popular fair classifiers on real-world datasets like COMPAS (criminal risk assessment) and MEPS (medical expenditure panel survey). The results indicate that CAPE ensures PE-fair predictions, while performing well on other performance metrics.

We empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Network (CNN) accelerators mapped to Field Programmable Gate Arrays (FPGAs). Undervolting below a safe voltage level can lead to timing faults due to excessive circuit latency increase. We evaluate the reliability-power trade-off for such accelerators. Specifically, we experimentally study the reduced-voltage operation of multiple components of real FPGAs, characterize the corresponding reliability behavior of CNN accelerators, propose techniques to minimize the drawbacks of reduced-voltage operation, and combine undervolting with architectural CNN optimization techniques, i.e., quantization and pruning. We investigate the effect of environmental temperature on the reliability-power trade-off of such accelerators. We perform experiments on three identical samples of modern Xilinx ZCU102 FPGA platforms with five state-of-the-art image classification CNN benchmarks. This approach allows us to study the effects of our undervolting technique for both software and hardware variability. We achieve more than 3X power-efficiency (GOPs/W) gain via undervolting. 2.6X of this gain is the result of eliminating the voltage guardband region, i.e., the safe voltage region below the nominal level that is set by FPGA vendor to ensure correct functionality in worst-case environmental and circuit conditions. 43% of the power-efficiency gain is due to further undervolting below the guardband, which comes at the cost of accuracy loss in the CNN accelerator. We evaluate an effective frequency underscaling technique that prevents this accuracy loss, and find that it reduces the power-efficiency gain from 43% to 25%.

Diagnosis of high impedance fault (HIF) is a challenge for nowadays distribution network protections. The fault current of a HIF is much lower than that of a normal load, and fault feature is significantly affected by fault scenarios. A detection and feeder identification algorithm for HIFs is proposed in this paper, based on the high-resolution and synchronous waveform data. In the algorithm, an interval slope is defined to describe the waveform distortions, which guarantees a uniform feature description under various HIF nonlinearities and noise interferences. For three typical types of network neutrals, i.e.,isolated neutral, resonant neutral, and low-resistor-earthed neutral, differences of the distorted components between the zero-sequence currents of healthy and faulty feeders are mathematically deduced, respectively. As a result, the proposed criterion, which is based on the distortion relationships between zero-sequence currents of feeders and the zero-sequence voltage at the substation, is theoretically supported. 28 HIFs grounded to various materials are tested in a 10kV distribution networkwith three neutral types, and are utilized to verify the effectiveness of the proposed algorithm.

This paper provides a method for the simultaneous topology optimization of parts and their corresponding joint locations in an assembly. Therein, the joint locations are not discrete and predefined, but continuously movable. The underlying coupling equations allow for connecting dissimilar meshes and avoid the need for remeshing when joint locations change. The presented method models the force transfer at a joint location not only by using single spring elements but accounts for the size and type of the joints. When considering riveted or bolted joints, the local part geometry at the joint location consists of holes that are surrounded by material. For spot welds, the joint locations are filled with material and may be smaller than for bolts. The presented method incorporates these material and clearance zones into the simultaneously running topology optimization of the parts. Furthermore, failure of joints may be taken into account at the optimization stage, yielding assemblies connected in a fail-safe manner.

In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence. In this paper, we investigate multi-encoder approaches in documentlevel neural machine translation (NMT). Surprisingly, we find that the context encoder does not only encode the surrounding sentences but also behaves as a noise generator. This makes us rethink the real benefits of multi-encoder in context-aware translation - some of the improvements come from robust training. We compare several methods that introduce noise and/or well-tuned dropout setup into the training of these encoders. Experimental results show that noisy training plays an important role in multi-encoder-based NMT, especially when the training data is small. Also, we establish a new state-of-the-art on IWSLT Fr-En task by careful use of noise generation and dropout methods.

Despite recent progress on computer vision and natural language processing, developing video understanding intelligence is still hard to achieve due to the intrinsic difficulty of story in video. Moreover, there is not a theoretical metric for evaluating the degree of video understanding. In this paper, we propose a novel video question answering (Video QA) task, DramaQA, for a comprehensive understanding of the video story. The DramaQA focused on two perspectives: 1) hierarchical QAs as an evaluation metric based on the cognitive developmental stages of human intelligence. 2) character-centered video annotations to model local coherence of the story. Our dataset is built upon the TV drama "Another Miss Oh" and it contains 16,191 QA pairs from 23,928 various length video clips, with each QA pair belonging to one of four difficulty levels. We provide 217,308 annotated images with rich character-centered annotations, including visual bounding boxes, behaviors, and emotions of main characters, and coreference resolved scripts. Additionally, we provide analyses of the dataset as well as Dual Matching Multistream model which effectively learns character-centered representations of video to answer questions about the video. We are planning to release our dataset and model publicly for research purposes and expect that our work will provide a new perspective on video story understanding research.

We study the problem of pricing under a Multinomial Logit model where we incorporate network effects over the consumer's decisions. We analyse both cases, when sellers compete or collaborate. In particular, we pay special attention to the overall expected revenue and how the behaviour of the no purchase option is affected under variations of a network effect parameter. Where for example we prove that the market share for the no purchase option, is decreasing in terms of the value of the network effect, meaning that stronger communication among costumers increases the expected amount of sales. We also analyse how the customer's utility is altered when network effects are incorporated into the market, comparing the cases where both competitive and monopolistic prices are displayed. We use tools from stochastic approximation algorithms to prove that the probability of purchasing the available products converges to a unique stationary distribution. We model that the sellers can use this stationary distribution to establish their strategies. Finding that under those settings, a pure Nash Equilibrium represents the pricing strategies in the case of competition, and an optimal (that maximises the total revenue) fixed price characterise the case of collaboration.

We propose Cotatron, a transcription-guided speech encoder for speaker-independent linguistic representation. Cotatron is based on the multispeaker TTS architecture and can be trained with conventional TTS datasets. We train a voice conversion system to reconstruct speech with Cotatron features, which is similar to the previous methods based on Phonetic Posteriorgram (PPG). By training and evaluating our system with 108 speakers from the VCTK dataset, we outperform the previous method in terms of both naturalness and speaker similarity. Our system can also convert speech from speakers that are unseen during training, and utilize ASR to automate the transcription with minimal reduction of the performance. Audio samples are available at https://mindslab-ai.github.io/cotatron, and the code with a pre-trained model will be made available soon.

Learning-based techniques are increasingly effective at controlling complex systems using data-driven models. However, most work done so far has focused on learning individual tasks or control laws. Hence, it is still a largely unaddressed research question how multiple tasks can be learned efficiently and simultaneously on the same system. In particular, no efficient state space exploration schemes have been designed for multi-task control settings. Using this research gap as our main motivation, we present an algorithm that approximates the smallest data set that needs to be collected in order to achieve high control performance for multiple learning-based control laws. We describe system uncertainty using a probabilistic Gaussian process model, which allows us to quantify the impact of potentially collected data on each learning-based controller. We then determine the optimal measurement locations by solving a stochastic optimization problem approximately. We show that, under reasonable assumptions, the approximate solution converges towards that of the exact problem. Additionally, we provide a numerical illustration of the proposed algorithm.

Bernstein polynomials, long a staple of approximation theory and computational geometry, have also increasingly become of interest in finite element methods. Many fundamental problems in interpolation and approximation give rise to interesting linear algebra questions. When attempting to find a polynomial approximation of boundary or initial data, one encounters the Bernstein-Vandermonde matrix, which is found to be highly ill-conditioned. Previously, we used the relationship between monomial Bezout matrices and the inverse of Hankel matrices to obtain a decomposition of the inverse of the Bernstein mass matrix in terms of Hankel, Toeplitz, and diagonal matrices. In this paper, we use properties of the Bernstein-Bezout matrix to factor the inverse of the Bernstein-Vandermonde matrix into a difference of products of Hankel, Toeplitz, and diagonal matrices. We also use a nonstandard matrix norm to study the conditioning of the Bernstein-Vandermonde matrix, showing that the conditioning in this case is better than in the standard 2-norm. Additionally, we use properties of multivariate Bernstein polynomials to derive a block $LU$ decomposition of the Bernstein-Vandermonde matrix corresponding to equispaced nodes on the $d$-simplex.

This paper investigates a class of optimal control problems associated with Markov processes with local state information. The decision-maker has only local access to a subset of a state vector information as often encountered in decentralized control problems in multi-agent systems. Under this information structure, part of the state vector cannot be observed. We leverage ab initio principles and find a new form of Bellman equations to characterize the optimal policies of the control problem under local information structures. The dynamic programming solutions feature a mixture of dynamics associated unobservable state components and the local state-feedback policy based on the observable local information. We further characterize the optimal local-state feedback policy using linear programming methods. To reduce the computational complexity of the optimal policy, we propose an approximate algorithm based on virtual beliefs to find a sub-optimal policy. We show the performance bounds on the sub-optimal solution and corroborate the results with numerical case studies.

Web design is responsible for nearly 95% of a visitor’s first impression of your business. That’s why it’s more important than ever to incorporate modern web design into your marketing strategy. But what modern web design trends are on the horizon for 2020 — and how can you use them to freshen up your site? […]

The post 10 Modern Web Design Trends for 2020 appeared first on WebFX Blog.

Summer Camps 2020 "Regional Summer Camps Hope the Pandemic Doesn't Put Activities on Pause, But Have Backup Plans Ready if it Does" …

How the coronavirus outbreak has upended people's lives across the Inland Northwest The numbers don't lie.…

[IMAGE-1] Before smartphones and Instagram, there were influencers, and they could be as shallow, overconfident and pejorative as they are today. This new adaptation of Jane Austen's Emma — the feature debuts of photographer and music-video director Autumn de Wilde and Man Booker Prize-winning novelist turned screenwriter Eleanor Catton — brings that sort of modern frisson to its retelling of the tale of a very rich young woman who amuses herself by interfering in the romantic lives of those around her.…

We at the Inlander remain committed to keeping people informed and connected during the coronavirus outbreak, supporting our readers and local businesses in the ways we always have. We have experienced some disruption in where we distribute papers, but we're stocking and restocking thousands of copies at local Rosauers, Super 1, URM Cash & Carry, Yoke's, Albertson's and Safeway stores, plus Papa Murphy's locations, My Fresh Basket and more.…

Ever wonder why there are no Thai fast food places?…

The Inlander is a community newspaper covering news, politics, events, happy hour, everything that's happening today, things to do on the weekend, in Spokane, Coeur d'Alene, the greater Inland Northwest and beyond.

The Inlander is a community newspaper covering news, politics, events, happy hour, everything that's happening today, things to do on the weekend, in Spokane, Coeur d'Alene, the greater Inland Northwest and beyond.

Before my car broke down, I didn't ride the bus.…

ProPublica’s health reporter Caroline Chen explains what the conversation around asymptomatic coronavirus carriers is missing, and what we need to understand if we’re going to beat this nefarious virus together. By Caroline Chen, ProPublica In the early days of the coronavirus outbreak in the U.S., around the last week of February, I joked to a colleague that maybe now, finally, people would learn how to wash their hands properly.…

As soon as state Rep. Marcus Riccelli returned home from Olympia, he jumpstarted a community-wide effort to feed Spokane constituents deeply affected by the COVID-19 crisis.…

Last week, the New York Times dropped a terrifying story: Asian Giant Hornets, or "murder hornets" as more J. Jonah Jameson-esque researchers like to call them, have been identified in Western Washington. These insects can grow up to 2 inches long, can rip the heads off an entire hive of honeybees in a matter of hours, and have dagger-like stingers that pierce beekeeper suits to deliver a sting that sears like molten acid.…

Novel indansulfamide derivatives or a pharmaceutically acceptable salt thereof such as N-[(1S)-2,2,5,7-tetrafluoro-2,3-dihydro-1H-inden-1-yl]sulfamide, N-[(1S)-2,2,4,7-tetrafluoro-2,3-dihydro-1H-inden-1-yl]sulfamide, (+)-N-(2,2,4,6,7-pentafluoro-2,3-dihydro-1H-inden-1-yl)sulfamide, have an action of improving Seizure Severity Index (Score) in mice kindling model. Thus the compounds or the salt thereof are expected as a drug for treating epilepsy.

The present invention relates to a process for preparing a compound of formula wherein: R2 is cycloalkyl or alkyl, each of which may be optionally substituted; Y is —CONR3R4, —CN or CO2R5; R3, R4 and R5 are each independently H or alkyl; n is 1 to 6; wherein said process comprising the steps of: (i) treating a compound of formula (IV), where R1 is alkyl, with a compound of formula (V) and forming a compound of formula (IIIb); (ii) treating said compound of formula (IIIb) with a compound of formula (I1) to form a compound of formula (I).

Borazine derivatives are used in the manufacture of electronic devices, in particular electroluminescent and semiconductor devices. More specifically, stable borazine derivatives include boron atoms substituted by aryl groups used in one or more layers of an electroluminescent or a semiconductor device, in particular in the emissive layer of organic light-emitting devices (OLED).

Systems and methods for generating a tuple of structured data files are described herein. In one example, a method includes detecting an expression that describes a structure of a structured image using a constructor. The method can also include using an inference-rule based search strategy to identify a hierarchical arrangement of bounding boxes in the structured image that match the expression. Furthermore, the method can include generating a first tuple of structured data files based on the identified hierarchical arrangement of bounding boxes in the structured image.

A computer-implemented method is provided for statistical data learning under privacy constraints. The method includes: receiving, by a processor, a plurality of pieces of statistical information relating to a statistical object and aggregating, by the processor, the plurality of pieces of statistical information so as to provide an estimation of the statistical object. Each piece of statistical information includes an uncertainty variable, the uncertainty variable being a value determined from a function having a predetermined mean. The number of pieces of statistical information aggregated is proportional to the reliability of the estimation of the statistical object.

Various embodiments provide lossless compression of an enumeration space for genetic founder lines. In one embodiment, an input comprising a set of genetic founder lines and a maximum number of generations G is obtained. A set of genetic crossing templates of a height h is generated. A determination is made if at least a first genetic crossing template in the set of genetic crossing templates is redundant with respect to a second genetic crossing template in the set of genetic crossing templates. Based on the at least first genetic crossing template being redundant is redundant with respect to the second genetic crossing template, the at least first genetic crossing template is removed from the set of genetic crossing templates. This process of removing the at least first genetic crossing template from the set of genetic crossing templates the redundant creates an updated set of genetic crossing templates.

The invention relates to Fatty Acid Fumarate Derivatives; compositions comprising an effective amount of a Fatty Acid Fumarate Derivative; and methods for treating or preventing cancer, a metabolic disorder or neurodegenerative disorder comprising the administration of an effective amount of a Fatty Acid Fumarate Derivative.

The present invention provides a use of a lipid composition for the preparation of a nutritional, pharmaceutical or nutraceutical composition or a functional food, for the prevention and treatment of gastrointestinal diseases and disorders, and for promoting intestinal development, maturation, adaptation and differentiation.

An object of the present invention is to provide a novel trans-2-decenoic acid derivative or a pharmaceutically acceptable salt thereof and to provide a pharmaceutical agent which contains said compound as an active ingredient and has a highly safe neurotrophic factor-like activity or an alleviating action for side effect induced by administration of anti-cancer agents. The trans-2-decenoic acid derivative or a pharmaceutically acceptable salt thereof which is the compound of the present invention is specifically represented by the formula (1): (In the formula, Y is —O—, —NR— or —S—, R is hydrogen atom, alkyl group, dialkylaminoalkyl group or the like and W is a substituent such as dialkylaminoalkyl group) and has a quite high usefulness as a pharmaceutical agent such as a preventive or therapeutic agent for dementia, Alzheimer's disease, Parkinson's disease, depression, etc., a treating or repairing agent for spinal cord injury.

Novel compounds of formula (1) wherein: A is especially a linear or branched divalent alkylene radical having between 1 and 10 carbon atoms, and Y is especially a hydrogen atom.

The present invention provides: an uracil derivative represented by general formula (I) or a physiologically acceptable salt thereof (in the formula, R1 represents a hydrogen atom, a C1-10 alkyl group, a C2-6 alkene group or a 3- to 6-membered saturated or 4- to 6-membered unsaturated aliphatic ring group which may contain 1 to 2 hetero atoms independently selected from the group consisting of N, O and S; R2 represents a hydrogen atom, a halogen atom, a cyano group, —NRcRd, —N═CHN(CH3)2, or an C1-3 alkyl group; Ar1 and Ar2 independently represent a 5- to 6-membered aromatic ring group which may contain 1 to 3 hetero atoms independently selected from the group consisting of N, O and S; and L represents a 6-membered aromatic ring group which may contain 1 to 4 nitrogen atoms, a pyrazole group, a triazole group, or an imidazole group); and a therapeutic agent or prophylactic agent for various inflammatory diseases associated with elastase, comprises the compound or the like as an active ingredient.

[Problem] To provide a GPR40 activating agent having, as an active ingredient, a novel compound having a GPR40 agonist action, a salt of the compound, a solvate of the salt or the compound, or the like, particularly, an insulin secretagogues and a prophylactic and/or therapeutic agent against diabetes, obesity, or other diseases.[Means of Solving the Problem]A compound of Formula (1): (where n is 0 to 2; p is 0 to 4; h is 0 to 3; j is 0 to 3; k is 0 to 2; a ring B is an aryl group or a heteroaryl group; X is O, S, or —NR7—; J1 is —CR11aR11b— or —NR11c—; J2 is —CR12aR12b— or —NR12c—; and R1 to R12c are specific groups),a salt of the compound, or a solvate of the salt or the compound.

The present application describes modulators of MCP-1 or CCR-2 of formula or stereoisomers or prodrugs or pharmaceutically acceptable salts thereof, wherein m, n, W, X, R1 and R6, are defined herein. In addition, methods of treating and preventing inflammatory diseases such as asthma and allergic diseases, as well as autoimmune pathologies such as rheumatoid arthritis and transplant rejection using modulators of formula (I) are disclosed.

The invention relates compounds of general formula (I) and pharmaceutically acceptable salts and solvates thereof wherein R1 is halogen, vinylene-aryl, substituted aryl, heteroaryl or a benzo[1,3]dioxolil group,W is a group of formula —NH—SO2—R2 or heteroaryl group or NHR3 group where R3 is hydrogen or heteroaryl; and n is 1, 2, 3 or 4. Furthermore, the present invention is directed to pharmaceutical composition containing at least one compound of general formula (I) and/or pharmaceutically acceptable salts or solvates thereof and for the use of them for the preparation of pharmaceutical compositions for the prophylaxis and/or the treatment of protein kinase related, especially CDK9-related diseases e.g. cell proliferative disease, infectious disease, pain, cardiovascular disease and inflammation.

The invention relates to oxazolopyrimidine compounds of formula I, where A, R1 and R2 are defined as stated in the claims. The compounds of formula I are suitable, for example, for wound healing.

The present invention relates to compounds of formula (I) or pharmaceutically acceptable salts thereof, wherein Q, T, V, W, X, Y, Z, ring A, R1, R2, R3, R4, R5, R5a, R6, R7, R8, R9, R10, R11, R12, R13, R14, R15, R16, R17 and m are defined herein. There novel pyrrolopyrimidine and purine derivatives are useful in the treatment of abnormal cell growth, such as cancer, in mammals. Additional embodiments relate to pharmaceutical compositions containing the compounds and to methods of using the compounds and compositions in the treatment of abnormal cell growth in mammals.

The invention relates to quinazoline derivatives of formula (I), wherein m is an integer from 1 to 3; R1 represents halogeno or C1-3alkyl; X1 represents —O—; R2 is selected from one of the following three groups: 1) C1-5alkylR3, wherein R3 is piperidinyl-4-yl which may bear one or two substituents selected from hydroxy, halogeno, C1-4alkyl, C1-4hydroxyalkyl and C1-4alkoxy; 2) C2-5alkenylR3, wherein R3 is as defined herein; 3) C2-5alkynylR3, wherein R3 is as defined herein; and wherein any alkyl, alkenyl or alkynyl group may bear one or more substituents selected from hydroxy, halogeno and amino; and salts thereof; processes for their preparation; pharmaceutical compositions containing a compound of formula (I) or a pharmaceutically acceptable salt thereof as an active ingredient.

The present invention provides a compound useful as an agent for the prevention or treatment of a sex hormone-dependent disease or the like. That is, the present invention provides a fused heterocyclic derivative represented by the following general formula (I), a pharmaceutical composition containing the same, a medicinal use thereof and the like. In the formula (I), ring A represents 5-membered cyclic unsaturated hydrocarbon or 5-membered heteroaryl; RA represents halogen, alkyl, alkenyl, alkynyl, carboxy, alkoxy, carbamoyl, alkylcarbamoyl or the like ; ring B represents aryl or heteroaryl; RB represents halogen, alkyl, carboxy, alkoxy, carbamoyl, alkylcarbamoyl or the like; E1 and E2 represent an oxygen atom or the like; U represents a single bond or alkylene; X represents a group represented by Y, —SO2—Y, —O—(alkylene)—Y, —O—Z in which Y represents Z, amino or the like; Z represents cycloalkyl, heterocycloalkyl, aryl, heteroaryl or the like; or the like.

Formaldehyde-free binder compositions are described that include an aldehyde or ketone, a nitrogen-containing salt of an inorganic acid, and an acidic compound. The acidic compound may be an organic acid, such as maleic acid or citric acid among others. The acidic compound is supplied in quantities that lower the pH of the binder composition to about 5 or less. The binder compositions may be used in methods of binding fiberglass and the resulting fiberglass products have an improved tensile strength due to the addition of the acidic compound.

The present invention relates to a solid composition containing calcium silicate hydrate and at least one water-swellable polymer which can form a hydrogel, and also to a process for preparing the composition, to the use thereof as a setting accelerator, and as a grinding aid in cement production. It also relates to building material mixtures which comprise the compositions.

A rubber composition for manufacturing tyres is based on one or more diene elastomers, one or more reinforcing fillers, and a vulcanization system. The vulcanization system includes one or more 1,2,4-triazine compounds chosen from compounds of formula I and compounds of formula II: Certain specific 1,2,4-triazine derivatives are described.