On The Current State of Scholarly Retrieval Systems

The enormous growth in the size of scholarly literature makes its retrieval challenging. To address this challenge, researchers and practitioners developed several solutions. These include indexing solutions e.g. ResearchGate, Directory of Open Access Journals (DOAJ), Digital Bibliography & Library Project (DBLP) etc., research paper repositories e.g. arXiv.org, Zenodo, etc., digital libraries, scholarly retrieval systems, e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar etc., digital libraries, and publisher websites. Among these, the scholarly retrieval systems, the main focus of this article, employ efficient information retrieval techniques and other search tactics. However, they are still limited in meeting the user information needs to the fullest. This brief review paper is an attempt to identify the main reasons behind this failure by reporting the current state of scholarly retrieval systems. The findings of this study suggest that the existing scholarly retrieval systems should differentiate scholarly users from ordinary users and identify their needs. Citation network analysis should be made an essential part of the retrieval system to improve the search precision and accuracy. The paper also identifies several research challenges and opportunities that may lead to better scholarly retrieval systems

The effect of earthworm (Eisenia foetida) meal with vermi-humus on growth performance, hematology, immunity, intestinal microbiota, carcass characteristics, and meat quality of broiler chickens

The present investigation was aimed to evaluate the effect of varied amount of earthworm meal (EW) and vermihumus (VH) on the growth performance of broiler chickens. Three hundred 1-d-old broiler chickens were assigned to 5 starter treatments with 5 pens per treatment, and 12 broiler chickens per pen in a completely randomized design from d 0–14 of the study. Dietary treatments were [per kilogram dry matter (DM)]: control (0 g EW and 0 g VH/kg of DM), and the diets containing 10 g VH/kg of DM supplemented with 0, 10, 20, or 30 g EW/kg of DM. At the end of the study (d 42), one representative broiler chicken per pen, close to the average body weight, was selected for blood sampling using a sterile needle and heparinized vacuum tube. The outcomes of the study depicted the greater overall feed intake value in broiler chicken fed the control diet than those fed the diets containing VH or EW or both, and it decreased linearly and quadratically (P<0.05) as the amount of EW supplementation increased. The average weight gain for the chickens was numerically increased as supplementation of EW was increased (linear, =0.3; quadratic P=0.4). On the other hand, overall feed conversation ratio was slightly greater (P=0.02) in broiler chickens fed the control diet, and it decreased linearly (P=0.03) as dietary EW supplementation increased. Additionally, the serum total protein, albumin, Ca, and P concentrations were lower in broiler chickens fed the control diet, and those variables increased linearly (P<0.05) as dietary EW increased. In like manner, humoral immune response (except heterophil/lymphocyte ratio) and relative weights of immune organs were lower in broiler chickens fed the control diet. Remarkable differences were observed between carcass and ileum characteristics of broiler chickens under treatments. Varied concentrations of EW showed increased total counts of lactic acid bacteria (linear, P<0.05; quadratic, P=0.3) and reduced population of pathogenic intestinal microbiota (linear, P0.05). Similarly, the meat quality of broiler chicken was markedly affected linearly (P<0.05) by the supplementation of increased dietary EW. Briefly, diets containing 30 g EW/kg of DM can positively affect the growth performance of broiler chickens and produce meat with better characteristics

The Design and Development of a Semantic File System Ontology

Semantic File System (SFS) is the vision for the future of file systems where information is given with explicit meaning to be processed by machines automatically and consumed by the users easily. SFSs extend traditional file systems to organize and retrieve information according to their semantics, intent and relationships with other resources rather than their physical locations. Ontology-based file system is a step to dissolve the borders between semantic web and semantic desktop to make the desktop part of a single giant web. Unfortunately, to the best of the authors’ current knowledge, so far, no effort has been exercised to develop an ontology for SFSs. This work contributes a SFS ontology, which extends NEPOMUK information element ontology framework into the domain of SFSs. The proposed SFS ontology is freely available with full technical definitions of terms and complete class hierarchy to be used for any purpose in information technology (IT). In addition, as a proof-of-concept implementation, we deploy the proposed ontology in the 360ᵒ SFS. Finally, to get most of the benefits of the ontology, this paper also presents a semantics-aware file manager

BlindSense: An Accessibility-inclusive Universal User Interface for Blind People

A large number of blind people use smartphone-based assistive technology to perform their common activities. In order to provide a better user experience the existing user interface paradigm needs to be revisited. A new user interface model has been proposed in this paper. A simplified, semantically consistent, and blind-friendly adaptive user interface is provided. The proposed solution is evaluated through an empirical study on 63 blind people leveraging an improved user experience in performing common activities on a smartphone

A GENERIC AND EFFICIENT GLOBALIZED KERNEL MAPPING-BASED SMALL-SIGNAL BEHAVIORAL MODELING FOR GAN HEMT

The work reported in this article explores a novel Particle Swarm Optimization (PSO) tuned Support Vector Regression (SVR) based technique to develop the small-signal behavioral model for GaN High Electron Mobility Transistor (HEMT). The proposed technique investigates issues such as kernel selection and model optimization usually encountered in the application of SVR to model the GaN based HEMT devices. Here, the PSO algorithm is utilized to find the optimal hyperparameters to minimize the fitness function. To enumerate the efficiency and the generalization capability of the predictors, the performance of the model is investigated in terms of mean square error (MSE) and mean relative error (MRE). A very good agreement is found between the measured S-parameters and the proposed model for multi-biasing sets over the complete frequency range of 1 GHz-18 GHz. The proposed technique is even used to test the frequency extrapolation capability of the model. A comparative analysis indicates that the proposed PSO-SVR predictor achieves significantly improved computational efficiency and the overall prediction accuracy. To demonstrate the ready usefulness of the modeling approach, the developed model has been incorporated in CAD environment using MATLAB Cosimulation in ADS Ptolemy. Subsequently, the smallsignal stability analysis is performed and gain of a power amplifier configuration designed using the proposed GaN HEMT model is determined

Structural modeling and analysis of dengue-mediated inhibition of interferon signaling pathway.

Dengue virus (DENV) belongs to the family Flaviviridae and can cause major health problems worldwide, including dengue fever and dengue shock syndrome. DENV replicon in human cells inhibits interferon alpha and beta with the help of its non-structural proteins. Non-structural protein 5 (NS5) of DENV is responsible for the proteasome-mediated degradation of signal transducer and activator of transcription (STAT) 2 protein, which has been implicated in the development of resistance against interferon-mediated antiviral effect. This degradation of STAT2 primarily occurs with the help of E3 ubiquitin ligases. Seven in absentia homologue (SIAH) 2 is a host protein that can mediate the ubiquitination of proteins and is known for its interaction with NS5. In this study, comprehensive computational analysis was performed to characterize the protein-protein interactions between NS5, SIAH2, and STAT2 to gain insight into the residues and sites of interaction between these proteins. The objective of the study was to structurally characterize the NS5-STAT2, SIAH2-STAT2, and NS5-SIAH2 interactions along with the determination of the possible reaction pattern for the degradation of STAT2. Docking and physicochemical studies indicated that DENV NS5 may first interact with the host SIAH2, which can then proceed towards binding with STAT2 from the side of SIAH2. These implications are reported for the first time and require validation by wet-lab studies