A Survey on Retrieval of Mathematical Knowledge

We present a short survey of the literature on indexing and retrieval of mathematical knowledge, with pointers to 72 papers and tentative taxonomies of both retrieval problems and recurring techniques.Comment: CICM 2015, 20 page

Effect of Shrimp Liquid Extract on Growth Performance, Carcass Traits, Biochemical Parameters and Immunological Responses of Broiler Chicken

The present study was conducted to investigate effect of shrimp liquid extract on growth performance, carcass traits, immunological responses, and biochemical parameters evaluation of broiler chickens. A total of 360 day-old Ross 308 broiler chicks were randomly allocated to five experimental treatments, with six replicates of 12 birds each. The dietary treatments comprised five different levels (0, 1, 1.5, 2, and 2.5 ml/l) of shrimp liquid extract added to the drinking water of the birds in a completely randomized design over a 35-day trial period. Results showed that supplementation of broiler chickens with different concentrations of shrimp liquid extract, particularly at 2 and 2.5 ml/l, resulted in improved performance metrics. Notably, these concentrations showed optimal results in terms of carcass yield, weight gain, and organ weights such as breast, thigh, and heart. Serum lipid fractions were not affected by the shrimp liquid extract. However, birds receiving the extract exhibited lower levels of serum creatinine and uric acid, along with higher urea levels. Furthermore, the shrimp liquid extract significantly boosted antibody titers against AIV (Avian Influenza Virus), NDV (Newcastle Disease Virus), IBD (Infectious Bursal Disease) and IBV (Infectious Bronchitis Virus) post-vaccination. Specifically, broilers given 1.5 to 2.5 ml/l of the extract displayed markedly higher antibody titers against various diseases compared to those receiving lower concentrations. Supplementation of shrimp liquid extract in water for broiler chickens at concentrations of 2 and 2.5 ml/l positively impacted performance metrics, organ weights, serum biochemistry parameters, and antibody response against various diseases.&nbsp

Why So Cynical? The Effect of Job Burnout as a Mediator on the Relationship Between Perceived Organizational Support and Organizational Cynicism

The current study represents a noteworthy step towards a better understanding of how perceived organizational support influences burnout and cynicism of healthcare staff. It explores whether perceived organizational support reduces job burnout and organizational cynicism and whether job burnout plays a mediating role in the relationship between POS and organizational cynicism. Data were collected from 211 personnel working in the healthcare industry in Saudi Arabia. Findings indicate that a high level of perceived organizational support ameliorates the experienced burnout symptoms, and allay cynical attitudes, emotions, and behaviors at work. The study also unfolds that burnout is mediating the relationship between POS and organizational cynicism, which highlights the importance of properly managing burnout. The study suggested that healthcare organizations should imperatively provide the necessary organizational support wherever and whenever it is needed and utilize the appropriate interventions to minimize the effects of burnout and cynicism. This is the first study that analyzed the impact of POS on organizational cynicism through the mediating variable of job burnout, and the first paper that investigates POS, organizational cynicism, and job burnout of healthcare staff in a single study. It adds to the growing body of literature on antecedents of organizational cynicism, job burnout, and POS as a mean to reduce negative workplace phenomena. Keywords: perceived organizational support, job burnout, organizational cynicism, social exchange theory, job demand model, healthcare industry, healthcare staff. DOI: 10.7176/EJBM/13-7-04 Publication date: April 30th 202

Asperities and barriers on the seismogenic zone in North Chile: state-of-the-art after the 2007 Mw 7.7 Tocopilla earthquake inferred by GPS and InSAR data

The Mw 7.7 2007 November 14 earthquake had an epicentre located close to the city of Tocopilla, at the southern end of a known seismic gap in North Chile. Through modelling of Global Positioning System (GPS) and radar interferometry (InSAR) data, we show that this event ruptured the deeper part of the seismogenic interface (30–50 km) and did not reach the surface. The earthquake initiated at the hypocentre and was arrested ~150 km south, beneath the Mejillones Peninsula, an area already identified as an important structural barrier between two segments of the Peru–Chile subduction zone. Our preferred models for the Tocopilla main shock show slip concentrated in two main asperities, consistent with previous inversions of seismological data. Slip appears to have propagated towards relatively shallow depths at its southern extremity, under the Mejillones Peninsula. Our analysis of post-seismic deformation suggests that small but still significant post-seismic slip occurred within the first 10 d after the main shock, and that it was mostly concentrated at the southern end of the rupture. The post-seismic deformation occurring in this period represents ~12–19 per cent of the coseismic deformation, of which ~30–55 per cent has been released aseismically. Post-seismic slip appears to concentrate within regions that exhibit low coseismic slip, suggesting that the afterslip distribution during the first month of the post-seismic interval complements the coseismic slip. The 2007 Tocopilla earthquake released only ~2.5 per cent of the moment deficit accumulated on the interface during the past 130 yr and may be regarded as a possible precursor of a larger subduction earthquake rupturing partially or completely the 500-km-long North Chile seismic gap

UML Artefacts for a Blockchain-enabled Platform for Fairtrade

Fairtrade-certified products have successfully entered the mainstream distribution channels, mostly in developed countries, and these products are now sold in famous supermarket chains. Nonetheless, the packaging and labeling of products as “Fairtrade” command premium pricing in the marketplace. How much of this, however, is valid and justified? Despite the reputable certification mechanisms for quality assurance, mass media reports suggest that much of the “surplus value” goes to the accreditation agencies themselves instead of the producers. This article proposes an agenda to set this right with a blockchain platform that provides “trust-free” assurances of verifiable labeling. Using an Action Design Research methodology, we have specified a research prototype of a Blockchain-enabled Fair-Trade platform Unified Modelling Language artifacts. We believe this will set the direction for social inclusion as part of information systems scholars’ aspiration to promote “tech for good.

Adopting the cybersecurity concepts into curriculum: the potential effects on students’ cybersecurity knowledge

This study examines the effect of adopting cybersecurity concepts on the information and technology (IT) curriculum and determines the potential effect on students' knowledge of cybersecurity practices and level of awareness. To this end, a pilot study was first conducted to measure the current level of cybersecurity awareness. The results revealed that students do not have much knowledge of cybersecurity. Thus, a four-step approach was proposed to infuse the relevant cybersecurity topics in five matched courses based on the latest cybersecurity curricular guidelines (CSEC2017). A sample of 42 students was selected purposively without prior knowledge of cybersecurity and divided identically into experimental and control groups. Students in the experimental group were asked to take five consecutive courses over five semesters. In each course, groups went through a pre-test for the infused topics. Then, the experimental group taught the corresponding infused topics. A post-test was administered to both groups at the end of each course, and the t-test was conducted. The results found significant differences between marks of prior and post-tests for 11 out of 14 infused topics. These satisfactory results would encourage universities to infuse cybersecurity concepts into their curriculum

Integration of Distributed Generations in Smart Distribution Networks Using Multi-Criteria Based Sustainable Planning Approach

Energy planning has become more complicated in the 21st century of sustainable development due to the inclusion of numerous standards such as techno-economic, and environmental considerations. This paper proposes multi-criteria sustainable planning (MCSP) based optimization approach for identifying DGs’ optimal allocations and rating powers. The main objectives of this paper are the reduction of the network’s total power loss, voltage profile improvement, energy loss saving maximization, and curtailing environmental emissions and water consumption to achieve Sustainable Development Goals (SDGs 3, 6, 7, 13, and 15) by taking the constraints into consideration. Different alternatives are evaluated across four aspects of performance indices; technical, cost-economic, environmental, and social (TEES). In terms of TEES performance evaluations, various multi-criteria decision-making (MCDM) approaches are used to determine the optimal trade-off among the available solutions. These methods are gaining wide acceptance due to their flexibility while considering all criteria and objectives concurrently. Annual energy loss saving is increased by 97.13%, voltage profile is improved to 0.9943 (p.u), and emissions are reduced by 82.45% using the proposed technique. The numerical results of the proposed MCSP approach are compared to previously published works to validate and may be used by researchers and energy planners as a planning tool for ADN schemes

A Forensic Scheme for Revealing Post-processed Region Duplication Forgery in Suspected Images

Recent researches have demonstrated that local interest points alone can be employed to detect region duplication forgery in image forensics. Authentic images may be abused by copy-move tool in Adobe Photoshop to fully contained duplicated regions such as objects with high primitives such as corners and edges. Corners and edges represent the internal structure of an object in the image which makes them have a discriminating property under geometric transformations such as scale and rotation operation. They can be localised using scale-invariant features transform (SIFT) algorithm. In this paper, we provide an image forgery detection technique by using local interest points. Local interest points can be exposed by extracting adaptive non-maximal suppression (ANMS) keypoints from dividing blocks in the segmented image to detect such corners of objects. We also demonstrate that ANMS keypoints can be effectively utilised to detect blurred and scaled forged regions. The ANMS features of the image are shown to exhibit the internal structure of copy moved region. We provide a new texture descriptor called local phase quantisation (LPQ) that is robust to image blurring and also to eliminate the false positives of duplicated regions. Experimental results show that our scheme has the ability to reveal region duplication forgeries under scaling, rotation and blur manipulation of JPEG images on MICC-F220 and CASIA v2 image datasets

Multi-dimensional potential assessment of grid-connected mega-scale floating PV power plants across heterogeneous climatic zones

Floating Photovoltaic (FPV) systems are gradually becoming more desirable due to a multitude of reasons, encompassing proximity to urban water reservoirs (facilitating city access) and their technical advantages. Climate change potentially presents risks of drought and FPV can potentially benefit by providing clean energy as well as saving water from evaporation. However, detailed studies are required to comprehensively evaluate the potential of FPV considering not only the technical parameters but evaluating the climatic effects as well. This paper presents an integrated multi-dimensional framework for the analysis of 2.5 MW grid-connected FPV systems over different climatic zones. In the first layer, a techno-economic and performance evaluation is carried out by fine-tuning different inputs of systems to make it ideal for proposed analyses under actual FPV conditions. Similarly, in the second layer environmental along with forest absorbing carbon analyses are performed. While socio analysis observed in the third fold is based on various SDGs and their indicators. Results reveal that the Dam with cold in winter and hot in summer climate conditions observed a most feasible site with a Levelized cost of energy (LCOE) of $0.047/kWh and a Net present value (NPV) of million$1.7705, respectively. In contrast, a Dam with mild cold climate conditions proves the least feasible site with LCOE of $0.057/kWh and NPV of million$1.0256, respectively. Similarly, the former Dam saved 20.50% higher CO2 emissions as compared to the latter, as well as required hectares of forest absorbing carbon. A comparative analysis observes a capacity factor of 22% and a performance ratio (PR) of 5%–10% higher as compared to solar photovoltaic (SPV) for dams with extreme weather