Miracle-dz/UniFAR-FTUs huggingface dataset:
Lyapunov-stable, sensor-based model for real-time trajectory-tracking among unknown obstacles

The article proposes a robust, feedback control system for real-time navigation and obstacle avoidance that is made of two components: (i) a sensor-based, real-time model that generates and periodically updates the trajectory on line in order to avoid both known and unforeseen obstacles, and (ii) a robust feedback-control model that is capable of driving an unicycle vehicle along the collision free trajectory. The system have some unique characteristics, among which it requires very few computational resources as a consequence of the its extreme simplicity. In spite of this, it is formally demonstrated to be asymptotically stable, thus being enough robust and computationally efficient to be implemented in realworld scenarios where obstacles are not known, and possibly move in the environment.
On the Strategic Orbits in Third-Order Oscillator with Jump Nonlinearity

This paper briefly describes the process of finding the strategic orbit for a given dynamical system with jump-type nonlinearity in order to mathematically prove the existence of chaotic solution in the sense of Shilnikov ́s theorems. For this purpose the standard optimization procedure is utilized. It is shown via numerical integration that both homoclinic and heteroclinic orbits exist.
PHARMACOGNOSY OF RICE BRAN OIL - A REVIEW

Rice bran is fabricated from the rice milling enterprise and contains about 10% of the entire weight of rough rice. It is especially composed of aleurone, pericarp, subaleurone layer, and germ. Rice bran is a fertile supply of nutrients, minerals, vital fatty acids, dietary fiber, and different sterols. The quantification of γ-oryzanol in rice bran can be conducted by many methods that require drawing out of rice bran oil (RBO) from the bran, accompanied by way of evaluation of the quantity of γ-oryzanol in the RBO with the aid of high-performance liquid chromatography. RBO is the oil drain out of the outer rigid surface of rice called chaff (rice husk). It is identified for its excessive smoke factor of 232°C (450°F) and soft taste, making it pleasant for excessive-temperature cooking strategies such as blend and deep frying. It is healthy for human expenditure, which is employed in the system of vegetable ghee. Wax was drawn out of RBO and palpanese extract, which is employed for carnauba wax in makeup, confectionery, shoe lotions, and sharpening compounds. It is accepted as a food preparation oil in numerous Asian countries, along with Bangladesh, Japan, India, and China. Regarding the importance of RBO, this overview intends to pay attention at the phytochemistry and therapeutic functions of RBO.
Equity Multi-Factor Approaches: Sum of Factors vs. Multi-Factor Ranking

There is a plethora of literature on the persistence and rationale of individual equity factor premia, which investors are often advised to extract through forming multi-factor portfolios – however, not so much attention is paid to the nuances of forming such portfolios and their implications. There are generally two approaches for forming equity multi-factor portfolios: - Sum of Factors (SoF) – where separate respective factor portfolios are first formed which are then subsequently combined. - Multi-Factor Ranking (MFR) – where individual stocks are selected based on a specified multi-factor ranking model. In this paper, we empirically demonstrate the implications of the two approaches when allocating across four equity factors: Value, Momentum, Low Volatility and Quality. We do so in the context of two topical implementation considerations: - Portfolio size: Concentrated versus diversified portfolios. - Factor exposure: Ex-ante versus ex-post factor exposure. In summary when comparing the two approaches, we find: - MFR portfolios have historically outperformed SoF portfolios irrespective of portfolio size. - However, this has been historically driven by the persistently lower CAPM Beta of the MFR portfolios, which has not been by design and which is accentuated in concentrated portfolios. - This lower CAPM Beta is from an implicit low volatility factor bias. - Such a bias comes with performance risk implications that investors should be mindful of.
Dynamic Load Balanced Packet Switching using Open Flow Protocol

: The traditional network of TCP or UDP, make use of static switches, i.e. load balancing across paths which is derived by calculation of hash packets. Concerned issues with this approach are that each packet of such a flow goes in a solitary pre-characterized way through the network. In the case of any disparity in the path, either a switch breakdown or physical layer harm, bundles tend to lose or the other switches need to be manually configured for selecting a different path. This becomes a herculean undertaking, as the system develops. Likewise, the disservice of hashing is that all connections get the equal percentage of hash values or to say, all paths own the same capacity (ECMP - Equal Cost Multi-Path). Even if the network is coded strongly to work in as multipath networking, because of the identical capacity issue. Therefore, optimal load adjusting won't not be accomplished. An optional answer for this issue is Software Defined Networking (SDN). SDN is an idea where the central controller takes the choice for parcel traversal and not the switches. Controller automatically distinguishes the topology by listening to the switches and ascertains path with lesser load. Controller then directs the switches with moving entries further needed for the paths thus optimally balancing the load with every flow.
Some results on K-frames

In this paper we present some results on K-frames when K ∈ B(H) is an injective closed range operator. Also we give a condition on K-frames {fn}n∈N and {gn}n∈N so that {fn + gn}n∈N is again a K-frame for H. Finally, Schatten class operators are also discussed in terms of K-frames.
THE FUTURE OF PYRETHROIDS IN INSECT CONTROL

The more stable synthetic pyrethroids, the main subject of this review, are based on the earlier natural and synthetic pyrethroids, but differ so markedly from them in properties and activity as to constitute a new class of insecticides. The value of residual films of contact insecticides was fi rst demonstrated in 1935 (114) by the successful control of pests of stored products with natural pyrethrins in heavy white oil, but the active ingredients of the formulation were too unstable in light and too expensive to be used for controlling agricultural pests. However, with the advent of modern synthetic insecticides such as DDT in 1943, a range of stable and inexpensive insecticides with outstanding efficiency as residual deposits against agricultural and other pests became available. A succession of organochlo­ rine, organophosphate, and carbamate insecticides has been developed since then, but without any great increase in the general level of insecticidal activity. Subse­ quently, undue persistence, high mammalian toxicity, and development of resistance with some of these compounds have provoked increasing concern and have empha­ sized the inadequacy of present insecticides. The fi rst synthetic pyrethroids in which characteristically high activity against insects and low mammalian toxicity were combined with greatly increased stability were described in 1973 (49, 50). In addition to being more photostable under appropriate conditions than many of the common organophosphates and carba­ mates, several of the compounds were also more insecticidally active by at least one order of magnitude. With the structural requirements for photostable pyrethroids established, many new compounds were synthesized ( 1973-77) that retained the chemical and stereo­ chemical features of the parent molecule5-, and hence their biological activities. Appropriate examples were selected for practical trials and toxicological examina­ tion. Although the initial phases of field evaluation are barely complete, it is already apparent that the new compounds are outstandingly effective against many pests and, unless unforeseen toxicological hazards or other disadvantages are discovered,
Inverse Learning for Data-Driven Calibration of Model-Based Statistical Path Planning

This paper presents a method for inverse learning of a control objective defined in terms of requirements and their joint probability distribution from data. The probability distribution characterizes tolerated deviations from the deterministic requirements and is learned using maximum likelihood estimation from data. Further, this paper introduces both parametrized requirements for motion planning in autonomous driving applications and methods for the estimation of their parameters from driving data. Both the parametrized requirements and their joint probability distributions are estimated using a posterior distribution such that the control objective is personalized from a prior as driver data are accumulated. Finally, three variants of the learning method are presented that vary in computational complexity and data storage requirements. Key advantages of the proposed inverse learning method are a relatively low computational complexity, a need for a limited amount of data, and that the data do not have to be segmented into specific maneuvers, which makes the method easily implementable. Learning results using data of five human drivers in a simulation environment suggest that the proposed model for human-conscious driving along with the proposed learning method enable a more natural and personalized driving style of autonomous vehicles for their human passengers.
A Software Agent for Detecting and Correcting Speech Recognition Errors Using a Knowledge Base

—Common speech recognizers based mainly on statistical methods, can produce recognition errors that result in sentences containing grammar or logical errors. We describe a software agent that processes the output of a speech recognition engine and detects syntactic or semantic errors. It also attempts to correct the recognition error, when the correct word is obvious in the context of the output sentence, using the information in a common sense knowledge base.
Anti-inflammatory actions of lipoxins

Efforts to understand and harness the potent anti-inflammatory and immunomodulating properties of the endogenous lipid mediators lipoxin A4 (LXA4), lipoxin B4 (LXB4) and the aspirin-triggered lipoxins, have resulted in a number of patent applications by both academic research groups and pharmaceutical companies. The patents cover the anti-inflammatory properties of lipoxins across a range of diseases with components of inflammation.
enterprising individuals from an entrepreneurial university: entrepreneurship programmes in non-business and business schools

The Finnish university sector is undergoing major changes in order to increase capacity and add value in society. As a result the role of entrepreneurship programmes is becoming more prevalent. This article presents four different approaches to organising entrepreneurship programmes in business and nonbusiness schools: entrepreneurship 1) as a research field, 2) as an integrated and synthetic subject in business schools and 3) as an add-on subject, and 4) embedded entrepreneurship studies in non-business disciplines. Irrespective of how the studies are organised they need to be based on solid academic research, which is the essence of any university education. We argue that developing an entrepreneurship programme at the university level is not limited to incorporating a marginal new subject and may mean completely restructuring the whole university – the organisational structures, the processes, the assessment methods, the direction and the resource-allocation mechanisms. This change calls for the creation of an entrepreneurial university. The Schumpeterian idea of entrepreneurs who create new combinations and foster creative destruction is also applicable to the university sector.
Effects of energy allowance and cimaterol feeding during the heifer rearing period on growth, puberty and milk production

Twenty-one 6-month-old Israeli Holstein heifers were used to determine the effect of three 6-month feeding regimes on growth, blood concentration of insulin, prolactin and insulin-like growth factor-1 (IGF-1), attainment of puberty and milk production during first lactation. Feeding regimes were as follows. (1) Restricted: the heifers were given food during months 1, 2 and 4, 5 of an experimental period, to support live-weight (LW) gain of 0·35 and 0·50 kg/day, respectively and during months 3 and 6 the heifers were given food to support compensatory growth. (2) Control: the heifers were given food to support LW gain of 1·0 kg/day. (3) Control + C: the heifers were given the same as the control, with a daily supplement of 0·05 mg/kg LW cimaterol (C) for 4 months. The total LW gain of the restricted heifers during the 6 months of the trial was significantly lower than that of the control heifers. Cimaterol improved growth rate only during the first 2 months of its application and its withdrawal was associated with severe LW gain retardation. The feeding regime employed in the restricted treatment was associated with a significant reduction in serum concentrations of insulin, prolactin and IGF-1 during the first restricted phase, followed by an elevation in the first compensatory phase. During the second restriction-compensation cycle, only the serum concentration of prolactin was significantly reduced. Cimaterol addition was also associated with a reduced blood concentration of the hormones. The animals in the restricted, control and control + C groups attained puberty at LW of 249·2, 277·6 and 304·9 kg ( P
Smart Web Crawler to Harvest the Invisible Web World

: In a growing world of internet, thousands of web pages are added daily. But only approx. 0.03 percent fraction of web pages are retrieved by all the search engines. The remaining pages are deep websites. Deep web is that part of web which is hidden and unrecognizable by the existing search engines. It has been a longstanding challengefor the existing useful crawlers and web search engines to harvest this ample volume of data. This paper surveys on different methods of crawling deep-web. Density and rapidly changing nature of deep-web has posed a big hurdle in front of researchers. To overcome this issue, we propose a dual-layer framework, namely Smart Web Crawler , for efficiently harvesting deep web interfaces. Smart crawler consists of two layers: Site-discovery and In-depth Crawling . Site-discovery layer finds the sparsely located deep websites from given known parent site s using Reverse Searching and focused crawling. The In-depth Crawling layer makes use of Smart Learning and Prioritizing to crawl hyperlinks within a site to ensure wider coverage of web directories.
The Psychology of E-learning

This article represents our views regarding the psychology of e-learning which is emerging as a significant, more promising and more interdisciplinary field of study. The purpose is to endorse knowledge, capability and skills in the minds of young learners to enhance both quality and quantity of learning. This paper discusses the well-known learning theories and elaborates its implication within the context of online courses. The theories include: behavior, cognitive and constructive. Further, the effect of these learning theories on implementing e-learning courses is identified in this paper. It will help the researchers to design and develop appropriate e-learning courses and enhance learning process for elearners. The paper proposes that learning material for e-learning must contain activities based on the learner’s related learning style. This paper aims to provide better practices to design e-learning courses based on the principles of learning theories.
A MANAGEMENT TOOL FOR SALMON AQUACULTURE: INTEGRATING MOHID AND GIS APPLICATIONS FOR LOCAL WASTE MANAGEMENT

Contemporary human pressures over world marine ecosystems could be unsustainable. Over 75% of the world natural fish stocks are considered fully exploited or over-exploited (FAO 2007). Direct impacts over biodiversity, habitat destruction, waste disposal and climate change indirect effects -and a possible synergy between these factors(Harley and Hughes 2006) allow predicting the collapse of all harvested taxa by the year 2048, if we sustain today’s trend of use and extraction (Worm et al. 2006). However, fish consumption has duplicated since 1960 and now it’s the fastest growing food industry worldwide (FAO 2007).
Pricing European call options with default risk under a jump-diffusion model via FFT transform

This paper considers the pricing of European call options with default risk within the framework of reduced-form model. We model the stock price and the default intensity by two dependent jump-diffusion models with common jumps. By using a Girsanov theorem, we give the explicit expression for the Fourier transform of the price of call options with default risk.
Data fusion model for speciated nitrogen to identify environmental drivers and improve estimation of nitrogen in lakes

Concentrations of nitrogen provide a critical metric for under1 standing ecosystem function and water quality in lakes. However, 2 varying approaches for quantifying nitrogen concentrations may bias 3 the comparison of water quality across lakes and regions. Different 4 measurements of total nitrogen exist based on its composition (e.g., 5 organic versus inorganic, dissolved versus particulate), which we re6 fer to as nitrogen species. Fortunately, measurements of multiple ni7 trogen species are often collected, and can therefore be leveraged 8 together to inform our understanding of the controls on total nitro9 gen in lakes. We develop a multivariate hierarchical statistical model 10 that fuses speciated nitrogen measurements obtained across multiple 11 methods of reporting in order to improve our estimates of total nitro12 gen. The model accounts for lower detection limits and measurement 13 error that vary across lake, species, and observation. By modeling spe14 ciated nitrogen, as opposed to previous efforts that mostly consider 15 only total nitrogen, we obtain more resolved inference with regard 16 to differences in sources of nitrogen and their relationship with com17 plex environmental drivers. We illustrate the inferential benefits of 18 our model using speciated nitrogen data from the LAke GeOSpatial 19 and temporal database (LAGOS). 20
Eﬃcient Mixed-Platform Clouds

Cloud computing is emerging from a conﬂuence of economic trends. Among them are the economies of scale that can be realized by aggregating and sharing infrastructure across many entities, allowing all to share slack resources and each to use (and pay for) what it needs. Doing so can exploit independent variation in demand to increase average utilization of hardware resources, amortize administration costs across the many entities
PROBABILITY DENSITY FUNCTIONS IN EDUCATION USING DYNAMICAL SYSTEMS AND JAVA APPLETS

Probability density functions (PDF's) have inherent connections to the field of Dynamical Systems. A methodology for teaching PDF's, using the Logistic equation as a prototype, is suggested. Numerical computation of the PDF that arises in the study of the Logistic equation is carried out using a Java applet. Educational implications of this approach are given.
Fault Diagnosis and Fault Estimation for actuator fault based on Bond Graph approach

Engineering systems becomes more and more complex, this is why Fault detection and isolation (FDI) for large complex systems are very important in order to ensure safe operation of industrial processes. Therefore, the design of complex dynamic systems has become complicated. This is why we chose to use Bond Graph (BG) tool in this paper. Thanks to its graphic nature which is suitable for the analysis of the multidisciplinary system’s behavior. Furthermore, the BG tool is developed here to synthesize a fault diagnosis based on analytical redundancy relations (ARRs). Once a fault is detected, an effective algorithm for fault estimation has been suggested. Finally, an hydraulic system with two tanks has been studied herein, in order to validate theoretical results and to improve the rapidity of the fast fault estimation for actuator fault. Keywords—component; Fault Diagnosis, Fault Estimation, Bond Graph, Analytical redundancy relation, Actuator Fault.
Flow of a Jeffrey Fluid between Finite Deformable Porous Layers

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Flow of a Jeffrey Fluid between Finite Deformable Porous Layers S.Sreenadh, A.Parandhama, E.Sudhakara, M. Krishna Murthy *1,3,4 Department of Mathematics, Sri Venkateswara Univers ty, Tirupati517502, India 2 Department of Mathematics, Sree Vidyanikethan Engi neering College, Tirupati, India profsreenadh@gmail.com Abstract The flow of a Jeffrey fluid between a thin deformab le porous layers is investigated. The governing equations are solved in the free flow and porous fl ow regions. The expressions for the velocity field and deformation are obtained. When 1 0, λ → the results agree with the corresponds ones of Bar ry et al (1991). The effects of
An in vitro comparative study of growth media, sera and FSH effects on the growth and maturation of Syrian mice preantral follicles and enclosed-oocytes

Summary Developing a culture system for preantral follicles has important biotechnological implications due to the potential to produce a large number of oocytes for embryo production and transfer. To accomplish this goal, the present study was aimed to culture preantral follicles in the presence of different media, sera and FSH concentrations. Six-week-old preantral follicles (95 ± 5 µm) were cultured in North Carolina State University medium 23 (NCSU23), tissue culture medium 199 (TCM199) and leibovitz-15 medium (L-15) for 6 days. Tissue culture medium 199 showed a significant increase in the follicle diameter (115 µm), survival (39%), oocyte maturation (32%) and germinal vesicle breakdown (GVBD) (29%) rates as compared to L-15 and NCSU23 (P<0.05). A 6-day culture showed increased follicular growth as compared to 2, 4 and 8-days (P<0.05). When the experiment was run with 1, 2, 5 and 10% fetal calf serum (FCS), prepubertal gilt serum (PGS), embryonic stem cell fetal calf serum (ESFCS) and hypogonadal mouse serum (hpgMS), the 5% FCS showed increased follicle diameter (134 µm), survival (52%), oocyte maturation (49%) and GVBD (45%) as compared to control and other types of sera used (P<0.05). While 100 mIU/ml FSH + 5% FCS in TCM199 showed a significant increase in follicle diameter (197 µm), survival (96%), oocyte maturation (91%) and GVBD (67%: P<0.0001). So, it is concluded that the TCM199 medium, with the addition of 100 mIU/ml FSH and 5% FCS, is appropriate for the optimal in vitro growth of Syrian mice preantral follicles and enclosed oocytes.
Hepatocyte-Specific Gene Delivery with Galactose-Bearing Cationic Polymers with Different Molecular Structures

Since the promising virus -based gene therapies are often limited by problems such as the immunity of virus itself, the development of an efficient non-viral vector is of prime importance. For this reason, several synthetic nonviral polymeric carriers including cationic sequences have been molecularly designed. It is well known that the polymeric carriers with some cationic groups buffer the endosomal pH resulting in the enhanced transfection efficiency, but also in a relatively high toxicity. In the last decades, the polymers bearing pendant carbohydrates (glycopolymers) was proved to have relatively less toxic. Since the glycopolymers may not only decrease the toxicity of the cationic chain but also serve as targeting agent, we have rationally designed new glycopolymer-based gene delivery carriers. The interaction of carrier/gene polyplexes with hepatocytes and their intracellular trafficking were investigated in vitro. Our results show the significant efficacy of the galactose moieties on the uptake by hepatocytes, in a ligand specific manner.