Miracle-dz/UniFAR-FTUs huggingface dataset:
Resource Prediction for Media Stream Decoding

Resource prediction refers to predicting required compute power and energy resources for consuming a service on a device. Resource prediction is extremely useful in a client-server setup where the client requests a media service from the server or content provider. The content provider (in cooperation with the client) can then determine what service quality to deliver given the client's available resources. This paper proposes a practical approach to predicting resources for decoding media streams. The idea is to group frames with similar decode complexity from various media streams in the content provider's database into so called scenarios. Client profiling using scenario representatives characterizes the client's computational power. This enables the content provider for predicting decode time, decode energy and quality of service for a media stream of interest once deployed on the client
Qlaju: A Yorba concept of development

The key indigenous concept of development among the Yoruba of Ilesha, qlaju ('enlightenment'), is specified and some typical contemporary referents illustrated. It is shown to entail a particular system of metaphors and to be related to some traditional ideas about the provenance of power, and the relation of knowledge and power. Qlaju—variously associated with education, the world religions, external trade and travel—has had relevance both to individuals and communities, and is traced through several historical phases from the late nineteenth century to today. It became progressively more linked with Western education and underlay the major place of education in Nigerian social policy since 1945. The traditional esotericism of Yoruba knowledge, hoarded by the powerful as a key resource, gave way to a more open conception in the early twentieth century, linked with conversionary religions. Latterly, education being again commended because it confers power in a zero‐sum situation, a new scarcity is created.
Determination of Artemisinin in Bulk and Pharmaceutical Dosage Forms using HPTLC

A new, simple, rapid, accurate and precise HPTLC method was developed. The detector response was linear for concentrations between 100-600 ng/spot (r =0.9931). The limits of detection and quantitation were 25 ng/spot and 75 ng/spot, respectively. The recovery study was carried out by standard addition method and was found to be 99.60±0.27. Statistical analysis proved that the method was precise, accurate and reproducible, and hence was suitable for the routine analysis of artemisinin.
Visualization of orbital flow by means of phase contrast MRI

Magnetic Resonance Imaging (MRI) is a high resolution medical imaging technique to image internal anatomical structures. Phase contrast MRI (pcMRI) technique is an add-on specification of MRI devices in order to quantify flow. Although different attempts have been introduced to measure orbital flows, a relationship between different ophthalmic physiological structures including superior ophthalmic vein, ophthalmic artery and optic nerve sheath (containing cerebrospinal fluid) using phase contrast MRI has not been established. In this study we investigate orbital flow in 5 normal subjects using a 3 tesla MRI device. pcMRI technique has been applied to extract flow in the superior ophthalmic vein and optic nerve sheath. Electrocardiogram of each subject was monitored and gated to the MRI in order to extract flow waveforms. Results show multiple peaks when assessing orbital flow waveforms, suggesting possible reflection of flow from back of the eye. These peaks have been characterized and a possible explanation to this phenomenon has been provided. This study enhances understanding of interaction between physiological structures at the retrolaminar portion of the eye which may be responsible for different ophthalmic abnormalities.
Adaptive, Cluster Based, Sensor Network Routing Protocol

In wireless sensor networks, sensor nodes have a limited power resource. The energy consumed to route data from the sensor node to its destination raises as a critical issue in designing wireless sensor network routing protocols. In this paper we propose a routing protocol called MIN-RC to enhance the hierarchical routing protocol LEACH-C. MIN-RC uses an adaptive method to control the round time considering the current state of the network. The simulation results of our proposed protocol using the ns2 simulator show that we improve the network efficiency in comparison to existing state-of-the-art protocols.
Extension of the generalized disequilibrium test to polytomous phenotypes and two-locus models

We extend the usual logistic model between a dichotomous phenotype and an allele count in two ways: a polytomous phenotype with K > 2 levels, and modeling of allele counts at two unlinked marker loci. Inference is based on within-family information to guard against potential bias due to population genetic structure. Score tests of the model coefficients taking into account the correlation between relatives in entire pedigrees are derived as an extension of the Generalized Disequilibrium Test (GDT). Simulations confirm that the tests have the expected statistical properties, and that their power exceeds that of the GDT under a favorable scenario. The score tests are illustrated with candidate genetic markers, a major psychosis phenotype and a cognitive endophenotype in large kindreds from Eastern Quebec.
Cost-Effectiveness of Intra-Arterial Treatment as an Adjunct to Intravenous Tissue-Type Plasminogen Activator for Acute Ischemic Stroke

Background and Purpose— The objective of this study was to determine the cost-effectiveness of intra-arterial treatment within the 0- to 6-hour window after intravenous tissue-type plasminogen activator within 0- to 4.5-hour compared with intravenous tissue-type plasminogen activator alone, in the US setting and from a social perspective. Methods— A decision analytic model estimated the lifetime costs and outcomes associated with the additional benefit of intra-arterial therapy compared with standard treatment with intravenous tissue-type plasminogen activator alone. Model inputs were obtained from published literature, the Multicenter Randomized Clinical Trial of Endovascular Therapy for Acute Ischemic Stroke in the Netherlands (MR CLEAN) study, and claims databases in the United States. Health outcomes were measured in quality-adjusted life years (QALYs). Treatment benefit was assessed by calculating the cost per QALY gained. One-way and probabilistic sensitivity analyses were performed to estimate the overall uncertainty of model results. Results— The addition of intra-arterial therapy compared with standard treatment alone yielded a lifetime gain of 0.7 QALY for an additional cost of $9911, which resulted in a cost of $14 137 per QALY. Multivariable sensitivity analysis predicted cost-effectiveness (⩽$50 000 per QALY) in 97.6% of simulation runs. Conclusions— Intra-arterial treatment after intravenous tissue-type plasminogen activator for patients with anterior circulation strokes within the 6-hour window is likely cost-effective. From a societal perspective, increased investment in access to intra-arterial treatment for acute stroke may be justified.
Design of microstrip spiral antenna using Genetic Algorithm

A novel design procedure for microstrip spiral antenna is presented. The procedure uses Genetic Algorithm (GA) to achieve a specific goal e.g. wide band, dual band, multi band, etc. In this paper a compact, wide band, and dual band antenna was designed using the GA optimization method. The first antenna compacted by 20% at 2.7GHz and provides 6.8dBi gain and 2.6% bandwidth. The second antenna operates at 4.7GHz and 5.8GHz with 0.9% and 6.5% bandwidth, and 7dBi and 6.5dBi gain, respectively. The last antenna achieved a wide band behavior at X band with 95% efficiency and 7.5dBi gain.
Mobile Discovery for Libraries and Museums

In 2014, over one billion smartphones have been sold worldwide, around 3 trillion search queries were entered solely on Google, a growing part from mobile devices. With rapidly growing digitization, enormous changes accompany almost all areas of our lives and define fundamentally new ways we deal with information, education, and culture. At the same time, cultural institutions increasingly assume social responsibilities that go beyond the mere mediation of knowledge. For this purpose, infrastructures are necessary that allow to archive digital content independent from their media type and domain and make it available to the public; on the other hand, it is necessary to semantically link this content and present it to a more and more demanding audience that is already used to interactive and participatory forms of knowledge dissemination and information research. The cloud media projects in Hesse created a platform to give access to heterogeneous content types and domains and link them semantically. Two strategic partners, the Stadel Museum in Frankfurt and the Darmstadt University and State Library, provide use cases for 2 applications based on the platform: a discovery service for literature, and a virtual museum application for objets d’art, both implemented with responsive design and touch screen support to enable mobile usage. The first provides a search and discovery in the library’s resources using a topic pie to support an efficient and intuitive drill-down of extensive search results. The second allows an exploration of the Stadel's collection on mobile devices; users are able to find similar artworks considering different features such as artist, theme, motif, era, atmosphere, etc. Both take advantage of touch-sensitive displays and allow an intuitive and ludic handling. They break fresh ground by leaving the classic search and find paradigm towards digital strolling: just like a physical visit to a library or museum, strolling around, discovering things, and getting inspired.
Needle length and injection technique for efficient intramuscular vaccine delivery.

The relationship between reactogenicity and immunogenicity of vaccine with route and site of injection is well documented. Both injection technique and needle length are crucial for ensuring proper intramuscular delivery and thus are directly related to vaccine safety and immunogenicity. To determine the optimum needle size for intramuscular injection and eventually to make a correlation between needle length and appropriate injection technique, one must have accurate data on morphometric characteristics of healthy people with respect to subcutaneous tissue (SCT) and muscle layer (ML) thickness. Hence the present study was conducted with the aim to obtain SCT and ML thickness at two sites recommended for vaccine injection, i.e., thigh and deltoid in infants and children at the age of primary and subsequent booster immunizations.
A dual circularly polarized patch antenna for broadband millimeter wave (MMW) communication systems

An aperture coupled circular patch antenna is presented for dual circular polarization at Ka-band. Two microstrip lines are used to excite a circular patch through two slots to generate a broadband RHCP and LHCP radiation with high isolation between them. An aperture coupling is employed to provide a wide beamwidth axial ratio. The proposed antenna is a good element candidate to be considered for compact polarization reconfigurable phased array antennas. The simulated results of the presented antenna show a10 dB impedance bandwidth of more than 15.1% with very good isolation bandwidth. Furthermore, it shows a 3 dB axial-ratio of 13.9% at 30 GHz. Additionally, it acquires an axial ratio less than 3 dB over ± 50. beamwidth for 2.2 GHz bandwidth.
Changes in Solar Dynamics from 1995 to 2002

Data obtained by the GONG and MDI instruments over the last 7 years are used to study how solar dynamics—both rotation and other large scale flows—has changed with time. In addition to the well-known phenomenon of bands of faster and slower rotation moving toward the equator and pole, we find that the zonal flow pattern rises upward with time. Like the zonal flows, the meridional flows also show distinct solar activity-related changes. In particular, the antisymmetric component of the meridional flow shows a decrease in speed with activity. We do not see any significant temporal variations in the dynamics of the tachocline region where the solar dynamo is believed to be operating.
The role of osmolarity adjusting agents in the regulation of encapsulated cell behavior to provide a safer and more predictable delivery of therapeutics

Abstract Transplantation of cells within alginate microspheres has been extensively studied for sustained drug delivery. However, the lack of control over cell behavior represents a major concern regarding the efficacy and the safety of the therapy. Here, we demonstrated that when formulating the biosystem, an adequate selection of osmolarity adjusting agents significantly contributes to the regulation of cell responses. Our data showed that these agents interact in the capsule formation process, influencing the alginate crosslinking degree. Therefore, when selecting inert or electrolyte-based osmolarity adjusting agents to encapsulate D1 multipotent mesenchymal stromal cells (MSCs), alginate microcapsules with differing mechanical properties were obtained. Since mechanical forces acting on cells influence their behavior, contrasting cell responses were observed both, in vitro and in vivo. When employing mannitol as an inert osmolarity adjusting agent, microcapsules presented a more permissive matrix, allowing a tumoral-like behavior. This resulted in the formation of enormous cell-aggregates that presented necrotic cores and protruding peripheral cells, rendering the therapy unpredictable, dysfunctional, and unsafe. Conversely, the use of electrolyte osmolarity adjusting agents, including calcium or sodium, provided the capsule with a suitable crosslinking degree that established a tight control over cell proliferation and enabled an adequate therapeutic regimen in vivo. The crucial impact of these agents was confirmed when gene expression studies reported pivotal divergences not only in proliferative pathways, but also in genes involved in survival, migration, and differentiation. Altogether, our results prove osmolarity adjusting agents as an effective tool to regulate cell behavior and obtain safer and more predictable therapies.
Reconsidering the workplace: faculty perceptions of their work and working environments

In an effort to foreground the impact of the material environment on faculty activities, this study examines the dynamic intersections among faculty work practices, the academic workplace and professional identity. Drawing on in-depth interviews with 16 social science faculty at one public university in the United States, this study reveals the impact of the physical environment on faculty perceptions of what they do, where they work and who they are. Analysis of interview data revealed overlapping themes regarding perceptions of faculty work practices, the inability of places to contain faculty work, faculty socialization, and questions concerning the ownership and distancing of particular work types. Findings from this study point to a need for administrative policy changes to be accompanied by a respatialization of the local campus that resists tendencies toward isolating environments.
Decoupled estimation of DOA and angular spread for spatially distributed sources

We consider the problem of estimating the parameters (direction-of-arrival (DOA) and angular spread) of a spatially distributed source, using a uniform linear array. A two-step procedure which enables decoupling the estimation of the DOA from that of the angular spread is proposed. This method combines a covariance matching algorithm with the use of the extended invariance principle (EXIP). More exactly, the first step makes use of an unstructured model for the part of the covariance matrix that depends on the angular spread. Then, the solution is refined by invoking the EXIP. Instead of a 2-D search, the proposed scheme requires two successive 1-D searches. Additionally, the DOA estimate is robust to mismodelling the spatial distribution of the scatterers. A statistical analysis is carried out and a formula for the asymptotic variance of the estimates is derived. Numerical examples illustrate the performance of the method.
Semi Supervised Image Segmentation by Optimal Color Seed Selection using Fast Genetic Algorithm

Key factors like similarity, proximity, and good Many researchers have mentioned the significance of perceptual grouping and organization in vision and listed various continuation that guide to visual grouping of image. However, even to the present situation, many of the computational factors of perceptual grouping have remained unanswered. As there are several probable partitions of the domain of an image into subsets, however it is significant to choose the correct choice. In general Image segmentation refers to the process of partitioning the input image into several disjoint regions with similar characteristics such as intensity, color, and texture, shape etc. There are several algorithms exist based on supervised, Unsupervised and Semi supervised techniques. But all algorithms has several disadvantages like lack of accuracy, more time, etc, The Existing semi supervised clustering method uses mouse clicks as prior information or certain constraints and then Clustering . In this paper semi supervised clustering using prior information is discussed. The prior information is nothing but selected color seeds using FGA and then EM Clustering. The proposed idea results in better visual appearance and also requires only lesser time when compared to the other segmentation using only GA or by using Kmeans clustering.
Simultaneous Determination of the Absolute Configuration of Twelve Monosaccharide Enantiomers from Natural Products in a Single Injection by a UPLC-UV/MS Method

Abstract In natural product chemistry, it is often crucial to determine sugar composition as well as the absolute configuration of each monosaccharide in glycosides. An ultra-performance liquid chromatography method using both photodiode array (PDA) and mass spectrometry detectors (UPLC-UV/MS) was developed for qualitative analysis of the absolute configuration of monosaccharide enantiomers. Within a single injection, 16 monosaccharide derivatives including 6 pairs of aldose enantiomers (D/L-glucose, D/L-galactose, D/L-allose, D/L-arabinose, D/L-xylose, and D/L-fucose) and 4 other monosaccharides (L-rhamnose, 2-deoxy-D-glucose, 6-deoxy-D-glucose, and 2-deoxy-D-glalactose) were identified in less than 25 minutes. It was found that the structures of derivatives of sugar enantiomers correlated with retention time. Among derivatives of sugar enantiomers in the current study, the stereoisomer of R-configuration at C-3′ retained longer than the corresponding S-configuration isomer. The UPLC-MS method can increase sensitivity of detection of the saccharides by more than 10 times compared to previously reported methods. The one-pot reaction of monosaccharide with L-cysteine methyl ester and phenyl isothiocyanate is easily reproduced, clean, and relatively simple in a screw-capped reaction vial. The developed method was successfully applied for the analysis of different types of glycosides, viz., glycosides of triterpenes, steroids, and flavonoids, that commonly exist in nature. The absolute configurations of composed monosaccharides are clearly characterized from tested samples.
A complex adaptive perspective on learning within innovation projects

Innovation is the lifeblood of companies, while simultaneously being one of the most difficult and elusive processes to manage. Failure rates are high – varying between six out of ten to nine out of ten – while the need to innovate is high. Departing from a real‐life case of a company, Sara Lee/Douwe Egberts, that has set learning within and from innovation projects high on the agenda, the main ideas about learning and innovation will be unfolded in the course of this article. It will be argued that most learning theories rest on a sender‐receiver model of knowledge transmission and this affects how people learn within innovation projects. A complex adaptive approach offers an alternative perspective from which one can evaluate and analyze learning and innovation processes. The most important characteristics of complex adaptive systems are non‐linearity, dynamic behavior, emergence and self‐organization. The implications of these phenomena for learning in innovation projects will be explained. The article finalizes with the preliminary findings of a multi‐agent simulation model, which explores what the underlying forces are beneath learning in innovation projects.
Mobile Agents For Implementing Local Computations in Graphs

Mobile agents are a recent paradigm to facilitate the design and programming of distributed applications. However, whilst their popularity continues to grow, a uniform theory of mobile agent systems is not yet su(cid:30)ciently elaborated, in comparison with classical models of distributed computation. In this paper we show how to use mobile agents as an alternative model for implementing distributed local computation rules. In doing so, we approach a general and uni(cid:28)ed framework for local computations which is consistent with the classical theory of distributed computations based on graph relabeling systems.