Miracle-dz/UniFAR-FTUs huggingface dataset:
Guided Policy Search with Delayed Senor Measurements

Guided policy search is a method for reinforcement learning that trains a general policy for accomplishing a given task by guiding the learning of the policy with multiple guiding distributions. Guided policy search relies on learning an underlying dynamical model of the environment and then, at each iteration of the algorithm, using that model to gradually improve the policy. This model, though, often makes the assumption that the environment dynamics are markovian, e.g., depend only on the current state and control signal. In this paper we apply guided policy search to a problem with non-markovian dynamics. Specifically, we apply it to the problem of pouring a precise amount of liquid from a cup into a bowl, where many of the sensor measurements experience non-trivial amounts of delay. We show that, with relatively simple state augmentation, guided policy search can be extended to non-markovian dynamical systems, where the non-markovianess is caused by delayed sensor readings.
Research output and economic output : a Granger causality test

The correlation between GDP and research publications is an important issue in scientometrics. This article provides further empirical evidence connecting revealed comparative advantage in national research with effects on economic output. Using quantitative time series analysis, this study attempts to determine the nature of causal relationships between research output and economic growth. One empirical result is that there is mutual causality between research and economic growth in Asia, whereas in Western countries the causality is much less clear. The results may be of use to underdeveloped nations deciding how to direct their investment: toward education, infrastructure and engineering, or more toward fundamental science.
tress and corticosterone enhance cognitive recovery from ippocampal stroke in rats

When locally infused, the potent vasoconstrictor, endothelin-1 (ET-1) produces partial ischemic damage in many regions of the brain, including the hippocampus. The hippocampus is known for a high density of glucocorticoid receptors and for the potent actions of stress and corticosterone to modulate function. The current experiment evaluates the effects of stress and corticosterone on the severity of memory impairment and anatomical pathology produced by hippocampal mini-stroke. Rats with ET-1induced mini-stroke were exposed to mild restraint stress (1 h/day) or oral corticosterone (0.5 mg/kg) for 16 consecutive days. Spatial memory was then tested in the Morris water task (MWT) and the ziggurat orris water task
Paperless university — How we can make it work?

At present time all administration processes in many universities of Uzbekistan are mainly paper based. It requires the usage of huge amount of paper, leads information lose and overlapping, creates bureaucracy barriers for students and teachers. One of examples is the administration system of Tashkent University of IT (TUIT): all documents starting from admission until graduation process are mainly paper based. The digitalization of documents is easy, but how to go further? How to control the volume of e-documents, how to properly share it with colleges? How we can avoid the repetition and duplication of documents? Main purpose of this paper is to find the answer for these questions. This is not single case, paperless campus is remaining to be dream not for only TUIT, but for many other universities too. Many universities all over the world tried to switch from paper-based admissions to a completely paperless system. Universities are looking for software technologies, which can help them to eliminate the huge amount of mail received/sent, easily present student records and documentation, and can share files between multiple administration staffs. Going to paperless is important for current ecological situation - universities can help to save natural resources. But the most important thing is that, it is the way of improve the university management and make administration process much easier and faster. In this paper we are trying to find the ways of making university paperless by using information system of University Management. This information system should avoid repetition of documents and help share important data between all departments. This system can be seen like a combination of mobile and web application and services. Classification of documents helps to control, for this reason we divide all the types of documents in university to groups and identify the owners (who is responsible for creating and making changes) and users (who can see, print or copy) of these documents. Current and suggested models of university management are presented and the possibility of creating new mobile applications for providing new services is highlighted. Our suggested model of paperless university is built in case of Tashkent University of IT (TUIT) but can be implemented to other universities too. This paper considers the paperless university as one of the constituent elements of “E-government” system. Developing of a complex information system “Education” is a part of Master plan of developing E-government in Uzbekistan. This system will be used to control all educational processes within universities and in the level of Ministry of Higher and Secondary Special Education of the Republic of Uzbekistan. The reasons of going paperless, the benefits which can be reached by going paperless are listed here, also some successful examples of ongoing projects in different countries and universities all over the world are also presented. In future this model can be improved by adding new IT solutions which will appear in market.
Carat: collaborative energy diagnosis for mobile devices

We aim to detect and diagnose energy anomalies, abnormally heavy battery use. This paper describes a collaborative black-box method, and an implementation called Carat, for diagnosing anomalies on mobile devices. A client app sends intermittent, coarse-grained measurements to a server, which correlates higher expected energy use with client properties like the running apps, device model, and operating system. The analysis quantifies the error and confidence associated with a diagnosis, suggests actions the user could take to improve battery life, and projects the amount of improvement. During a deployment to a community of more than 500,000 devices, Carat diagnosed thousands of energy anomalies in the wild. Carat detected all synthetically injected anomalies, produced no known instances of false positives, projected the battery impact of anomalies with 95% accuracy, and, on average, increased a user's battery life by 11% after 10 days (compared with 1.9% for the control group).
Optineurin Is Required for CYLD-Dependent Inhibition of TNFα-Induced NF-κB Activation

The nuclear factor kappa B (NF-κB) regulates genes that function in diverse cellular processes like inflammation, immunity and cell survival. The activation of NF-κB is tightly controlled and the deubiquitinase CYLD has emerged as a key negative regulator of NF-κB signalling. Optineurin, mutated in certain glaucomas and amyotrophic lateral sclerosis, is also a negative regulator of NF-κB activation. It competes with NEMO (NF-κB essential modulator) for binding to ubiquitinated RIP (receptor interacting protein) to prevent NF-κB activation. Recently we identified CYLD as optineurin-interacting protein. Here we have analysed the functional significance of interaction of optineurin with CYLD. Our results show that a glaucoma-associated mutant of optineurin, H486R, is altered in its interaction with CYLD. Unlike wild-type optineurin, the H486R mutant did not inhibit tumour necrosis factor α (TNFα)-induced NF-κB activation. CYLD mediated inhibition of TNFα-induced NF-κB activation was abrogated by expression of the H486R mutant. Upon knockdown of optineurin, CYLD was unable to inhibit TNFα-induced NF-κB activation and showed drastically reduced interaction with ubiquitinated RIP. The level of ubiquitinated RIP was increased in optineurin knockdown cells. Deubiquitination of RIP by over-expressed CYLD was abrogated in optineurin knockdown cells. These results suggest that optineurin regulates NF-κB activation by mediating interaction of CYLD with ubiquitinated RIP thus facilitating deubiquitination of RIP.
Design and Operation Characteristics of a Novel Switched Reluctance Motor With a Segmental Rotor

This paper presents a novel 6/5 segmental rotor-type switched reluctance motor (SRM) for cooling fan application. Unlike conventional structures, the rotor of the proposed structure is constructed from a series of discrete segments, and the stator is constructed from two types of stator poles: exciting and auxiliary poles. Meanwhile, the windings are only placed around the exciting poles, resulting in short flux paths and no flux reversal in the stator of the proposed SRM. Hence, the proposed structure may increase the electrical utilization and reduce magnetomotive force (MMF) requirement compared to conventional SRMs. To verify the proposed structure, the operation principle and the design rules of the proposed structure are illustrated and expounded. The finite-element method (FEM) is employed to get the static and dynamic characteristics of the conventional 12/8 and proposed SRMs. Furthermore, the prototype is manufactured and tested. Finally, the simulation and experimental results are presented and analyzed to verify the effectiveness of the proposed SRM.
How to Safely Exploit Predictions in General-Sum Normal Form Games

Given a prediction of opponent behavior in a generalsum two-player normal form game, it is difficult to select a strategy that balances the opportunity to use the prediction to inform one’s action with the risk of becoming predictable. We propose Restricted Stackelberg Response with Safety (RSRS), a novel way of generating such a strategy. RSRS uses an r-safe Stackelberg equilibrium in a modified game, which is created to reflect the assumption that the prediction might be inaccurate. With appropriate parameter selection, RSRS produces strategies that can play well against the prediction, respond well against a best-responding opponent, or guard against worst-case outcomes. We describe an algorithm that selects appropriate parameter values, which we have tested on multiple general-sum games, comparing its performance to that of other algorithms.
Rapid and thorough exploration of low dimensional phenotypic landscapes

This thesis presents two novel algorithms for the evolutionary optimisation of agent populations through divergent search of low dimensional phenotypic landscapes. As the eld of Evolutionary Robotics (ER) develops towards more complex domains, which often involve deception and uncertainty, the promotion of phenotypic diversity has become of increasing interest. Divergent exploration of the phenotypic feature space has been shown to avoid convergence towards local optima and to provide diverse sets of solutions to a given objective. Novelty Search (NS) and the more recent Multi-dimensional Archive of Phenotypic Elites (MAP-Elites), are two state of the art algorithms which utilise divergent phenotypic search. In this thesis, the individual merits and weaknesses of these algorithms are built upon in order to further develop the study of divergent phenotypic search within ER. An observation that the diverse range of individuals produced through the optimisation of novelty will likely contain solutions to multiple independent objectives is utilised to develop Multiple Assessment Directed Novelty Search (MADNS). The MADNS algorithm is introduced as an extension to NS for the simultaneous optimisation of multiple independent objectives, and is shown to become more e ective than NS as the size of the state space increases. The central contribution of this thesis is the introduction of a novel algorithm for rapid and thorough divergent search of low dimensional phenotypic landscapes. The Spatial, Hierarchical, Illuminated NeuroEvolution (SHINE) algorithm di ers from previous divergent search algorithms, in that it utilises a tree structure for the maintenance and selection of potential candidates. Unlike previous approaches, SHINE iteratively focusses upon sparsely visited areas of the phenotypic landscape without the computationally expensive distance comparison required by NS; rather, the sparseness of the area within the landscape where a potential solution resides is inferred through its depth within the tree. Experimental results in a range of domains show that SHINE signi cantly outperforms NS and MAP-Elites in both performance and exploration.
Resilience in Dynamic Component-Based Applications

Increasingly, software is required to accommodate new features after the design and deployment stages. Applications are designed to improve their adaptability and flexibility. Software needs to evolve at runtime with minimal interruptions and, when possible, never stop running. Different motivations push software design to allow such evolution at runtime. For example, production systems with critical availability requirements need to be updated with little perceived execution interruption. This paper enumerates challenges in the construction of dynamic component-based applications that are capable of undergoing changes during execution, with minimal impact.
MORPHOGENESIS OF THE COLLAGENOUS STROMA IN THE CHICK CORNEA

The embryonic chick corneal epithelium produces a highly structured acellular matrix beneath its basal surface during early development. This matrix, which contains collagen, serves as a morphogenetic template for subsequent stromal development in that the three-dimensional architecture of the adult corneal stroma is initially established, in miniature, in this epithelially derived connective tissue. Examination of the early corneal epithelium and matrix in both the light and electron microscope suggests that self assembly of the matrix may be one of several important factors in the morphogenesis of this early connective tissue.
Task dependency aware IP core for dynamic scheduling in MPSoC environment

This paper deals with Intellectual Property (IP) core design for dynamic task scheduling to support Out-of-Order (OoO) execution in Multiprocessor System-on-Chip (MPSoC) environment. MPSoC is one of the most promising future processor architecture. But such systems have to face challenges in the context of OoO execution during dynamic scheduling due to data dependencies like Read-after-Write (RAW), Write-after-Write (WAW) and Write-after-Read (WAR). Due to these dependencies stalling problem occur during OoO execution. In order to solve this stalling problem and achieve task level parallelism (TLP), Scoreboarding algorithm with register renaming technique is designed. As these dependencies impose challenging constraints on the direct use of techniques like OoO execution, register renaming and dynamic scheduling, a synthesizable IP core is designed. The simulation results show that the design can analyze all the task dependencies during run-time and resolves them at TLP. This algorithm is able to resolve 100% RAW, WAW and WAR hazards which are not solvable at instruction level parallelism (ILP).
The effects of knowledge of results and social reinforcement on goal setting, performance, and satisfaction /

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Brno University of Technology System for NIST 2005 Language Recognition Evaluation

This paper presents the language identification (LID) system developed in Speech@FIT group at Brno University of Technology (BUT) for NIST 2005 Language Recognition Evaluation. The system consists of two parts: phonotactic and acoustic. Phonotactic system is based on hybrid phoneme recognizers trained on SpeechDat-E database. Phoneme lattices are used to train and test phonotactic language models. Further improvement is obtained by using anti-models. Acoustic system is based on GMM modeling trained under maximum mutual information framework. We describe both parts and provide a discussion of performance on LRE 2005 recognition task
The Stress and Structure of Modified Noun Phrases in English

·, William J. 1989. Japanese Periphrastic . Verbs and -Noun Incorporation. o appear in Natural Language and Linguistic Theory. :, William J. 1991. Lexical and Phrasal Periphrastic Verbs in Japanese. fanuscript, Stanford University. , Mariko. 1987. On the Manifestations of Grammatical Functions in the ~yntax of Japanese Nominals. Doctoral dissertation, Stanford University. se, Sergio. 1984. Generative Morphology. Dordrecht: Foris1 . , 1anek, Bogdan. 1985. Disjunctive Rule 9rdering in Word Form~t~on. In >apers and Studies ln Contrastive Linguistics, Vol. 20, ed. Jacek F1s1ak, 45i4. Poznan: Adam Mickiewicz University. an Jindrich. 1980. Wortsyntax. Doctoral dissertation, University of Cologne. tib~, Hiroshi. 1981. The Mora Constraint in Japanese Phonology. Linguistic foalysis 7:241-262. ' nenburg, Wiecher. 1981. Le principe du blocage dans la mor? hologie derivaionelle. In Linguistics in the Netherlands 198! , ed. Sask1a Daalder and Vlarinel Gerritsen, 65-72. Amsterdam: North Holland. I I
DC-STAMP is essential for cell–cell fusion in osteoclasts and foreign body giant cells

Osteoclasts are bone-resorbing cells that play a pivotal role in bone remodeling. Osteoclasts form large multinuclear giant cells by fusion of mononuclear osteoclasts. How cell fusion is mediated, however, is unclear. We identify the dendritic cell–specific transmembrane protein (DC-STAMP), a putative seven-transmembrane protein, by a DNA subtraction screen between multinuclear osteoclasts and mononuclear macrophages. DC-STAMP is highly expressed in osteoclasts but not in macrophages. DC-STAMP–deficient mice were generated, and osteoclast cell fusion was completely abrogated in homozygotes despite normal expression of osteoclast markers and cytoskeletal structure. As osteoclast multinucleation was restored by retroviral introduction of DC-STAMP, loss of cell fusion was directly attributable to a lack of DC-STAMP. Defects in osteoclast multinucleation reduce bone-resorbing activity, leading to osteopetrosis. Similar to osteoclasts, foreign body giant cell formation by macrophage cell fusion was also completely abrogated in DC-STAMP–deficient mice. We have thus identified an essential regulator of osteoclast and macrophage cell fusion, DC-STAMP, and an essential role of osteoclast multinucleation in bone homeostasis.
Nutritional Infertility and Ameliorative Measures in Dairy Animals of Middle Gujarat

Fertility improvement camps were organized in different villages of middle Gujarat covering 1481 breedable cattle and buffaloes with the history of impaired fertility. The reproductive status of animals was ascertained through gynaeco-clinical examination per rectum. Blood sampling (n=305) was done from representative groups of animals to know the nutritional status. All non-infectious infertile animals were dewormed using either Inj. Ivermectin 100 mg s/c or bolus Fenbendazole + Ivermectin 3.0 g orally. Anestrus animals (n=265) were then nutritionally supplemented either with chelated area specific mineral mixture (ASMM, 50-60 g/d/h) or multi-minerals boli - one on alternate day, with and without bypass fat (75-80 g/d/h) for one month along with an advice to improve feeding level, estrus detection and timely breeding. Revisits were made after 2.5-3.0 months to check the reproductive status. The mean blood glucose concentrations were significantly lower (p less than 0.05), while total cholesterol and zinc levels were higher (p less than 0.05) in anestrus than in subestrus and/or repeat breeding cows and buffaloes. Moreover, the plasma total cholesterol levels in buffaloes were just one half to those of cows. Further, the plasma total protein, calcium, phosphorus, magnesium, iron, copper and cobalt concentrations were found to be nonsignificantly higher in repeat breeders than in anestrus or subestrus cows and buffaloes. Calcium was deficient in some 20% animals and calcium: phosphorus ratio varied from 1:1 to 1.8:1 in animals under different areas of study indicating its role in causing infertility in dairy animals. Supplementation of ASMM, multi-mineral boli alone or in combination with bypass fat in pubertal /postpartum anestrus animals resulted in 34-56% estrus induction response and 33-50% conception rate, both being better with mineral plus bypass fat supplementation than minerals alone.
Comparison Outcome of Nerve Regeneration across an Eggshell Membrane Guidance Channel and Autograft

Peripheral nerves may be damaged during an injury and its current standard treatment is using an autologous nerve. Objectives: The purpose of this experimental study is to evaluate and compare the histological results of nerve regeneration after using the eggshell membrane (ESM) guidance channel with autograft. Materials and Methods: Thirty adult male rats were divided into three experimental groups: ESM guidance channel, autograft, and sham surgery. The decalcifying membrane of egg rotated over the Teflon mandrel and dried at 37°C. A 10 mm nerve segment of left sciatic nerve was cut and removed. In ESM group, the ends of the sciatic nerve were telescoped into the nerve guides. In autograft group, the nerve segment was reversed and used as an autologous nerve graft. At 90 days after surgery, all animals were evaluated by histological and immunohistochemical assessment. Results: The diameters of regenerated myelinated fibers were 5.24±2.14 µm for the ESM group, and 5.89±2.99 µm for the autograft group. The number of myelinated axons regenerated in the ESM group (9824±218 nerve fibers) was significantly greater than autograft group (7865±314 nerve fibers) (p<0.05). Conclusion: These findings demonstrate that ESM effectively enhances nerve regeneration in injured rat sciatic nerve
Improved Turbo Decoders for Signals with Time and Phase Offset on AWGN Channels

This paper presents behaviour of a turbo coding scheme when the synchronization parameters are not perfectly estimated. We propose improved decoding algorithms for the situations when the timing and phase error are given by the Gaussian probability distribution. It is shown that relatively simple operations can improve the bit error probability without the need of reconstructing the classical decoding algorithm and increasing transmitted power.
New lower and upper bounds on the expected length of optimal one-to-one codes

In this paper; we consider one-to-one encodings for a discrete memoryless source, which are "one-shot" encodings associating a distinct codeword with each source symbol. Such encodings could be employed when only a single source symbol rather than a sequence of source symbols needs to be transmitted. We consider two slightly different types of one-to-one encodings depending on whether the empty codeword is used or not. Given that the probability of the most likely source symbol is available, we provide several new lower and upper bounds on the expected length of optimal one-to-one codes