ANALISIS KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA MAHASISWA STATISTIKA FMIPA UNM ANGKATAN 2015 BERDASARKAN TAKSONOMI SOLO DAN DITINJAU DARI GAYA KOGNITIF

Penelitian ini bertujuan bertujuan untuk memperoleh ungkapan mengenai kemampuan penyelesaian masalah matematika mahasiswa Statistika FMIPA UNM Angkatan 2015 berdasarkan taksonomi SOLO dan ditinjau dari gaya kognitif. Penelitian ini menggunakan metode kualitatif yang bersifat eksploratif. Hipotesis penelitian bahwa mahasiswa yang memiliki gaya kognitif field independent (FI) memiliki level kemampuan yang lebih tinggi pada tingkatan taksonomi SOLO dalam hal penyelesaian masalah matematika dibandingkan mahasiswa yang memiliki gaya kognitif field dependent (FD)

A Marketplace for Efficient and Secure Caching for IoT Applications in 5G Networks

As the communication industry is progressing towards fifth generation (5G) of cellular networks, the traffic it carries is also shifting from high data rate traffic from cellular users to a mixture of high data rate and low data rate traffic from Internet of Things (IoT) applications. Moreover, the need to efficiently access Internet data is also increasing across 5G networks. Caching contents at the network edge is considered as a promising approach to reduce the delivery time. In this paper, we propose a marketplace for providing a number of caching options for a broad range of applications. In addition, we propose a security scheme to secure the caching contents with a simultaneous potential of reducing the duplicate contents from the caching server by dividing a file into smaller chunks. We model different caching scenarios in NS-3 and present the performance evaluation of our proposal in terms of latency and throughput gains for various chunk sizes

Technologies and solutions for location-based services in smart cities: past, present, and future

Location-based services (LBS) in smart cities have drastically altered the way cities operate, giving a new dimension to the life of citizens. LBS rely on location of a device, where proximity estimation remains at its core. The applications of LBS range from social networking and marketing to vehicle-toeverything communications. In many of these applications, there is an increasing need and trend to learn the physical distance between nearby devices. This paper elaborates upon the current needs of proximity estimation in LBS and compares them against the available Localization and Proximity (LP) finding technologies (LP technologies in short). These technologies are compared for their accuracies and performance based on various different parameters, including latency, energy consumption, security, complexity, and throughput. Hereafter, a classification of these technologies, based on various different smart city applications, is presented. Finally, we discuss some emerging LP technologies that enable proximity estimation in LBS and present some future research areas

Beneficial Effects of Artocarpus Lakoocha Extracts in Rat Models Suffering from Atherosclerosis

Objective: To evaluate the anti-inflammatory effects of A. lakoocha extracts by utilizing the rat models with induced hyperlipidemia.Methodology: Twenty-four well-fed rats (Wistar breed), were selected for the current study, weighing average 150-250 grams each and divided into three groups; GROUP I served as healthy control group, fed with normal diet composed of carbohydrates, proteins and fats. Group II were hyperlipidemic rats, with atherosclerosis, and considered as disease group. They were fed with high fat diet. Group III rats were fed with extracts of A. lakoocha, extending from day 20 up to day 60 of this experiment.Results In the disease group, significantly decreased (P < 0.001) expression levels of IL-5 were found in (14.76 ± 2.65) compared with control group (26.54 ± 3.98). IN the group treated with A. lakoocha extracts (22.01 ± 4.53) significantly enhanced (P < 0.01) the expression levels of IL-5 were observed. In addition, plasma IL-6 levels were significantly enhanced (P < 0.05) in the disease group (44.19 ± 10.90) compared with the control group (32.59 ± 4.51). Treatment of rats with A. lakoocha extract (20.22 ± 2.75) caused significant reduction (P < 0.001) in the expression levels of IL-6 as compared with the disease group. Significantly raised (P < 0.01) expression levels of TNF-α within the disease group (31.78 ± 4.71) compared with the control group (23.34 ± 2.25) group. Moreover, A. lakoocha extracts (24.60 ± 4.26) significantly reduced (P < 0.05) the expression of TNF-α levels, compared with the disease group.  Conclusion: Current study demonstrates that A. lakoocha extracts significant protective and anti-inflammatory properties in selected rat models, subsequently leading to atherosclerosis. The present study highlighted the down-regulation of inflammatory cytokines such as IL-6, TNF-α, IL-6 and NF-кB, while simultaneously up-regulating the plasma levels of IL-15, in rat models treated with extracts of A. lakoocha

Security in wireless body area networks: from in-body to off-body communications

Wireless body area networks (WBANs) play a vital role in shaping today's healthcare systems. Given the critical nature of a WBAN in one's health to automatically monitor and diagnose health issues, security and privacy of these healthcare systems need a special attention. In this paper, we first propose a novel four-tier architecture of remote health monitoring system and then identify the security requirements and challenges at each tier. We provide a concise survey of the literature aimed at improving the security and privacy of WBANs and then present a comprehensive overview of the problem. In particular, we stress that the inclusion of in vivo nano-networks in a remote healthcare monitoring system is imperative for its completeness. To this end, we elaborate on security threats and concerns in nano-networks and medical implants as well as we emphasize on presenting a holistic framework of an overall ecosystem for WBANs, which is essential to ensure end-to-end security. Lastly, we discuss some limitations of current WBANs.Other InformationPublished in: IEEE AccessLicense: https://creativecommons.org/licenses/by/4.0/See article on publisher's website: https://dx.doi.org/10.1109/access.2018.2873825</p

Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin

Bias correction (BC) is often a necessity to improve the applicability of global and regional climate model (GCM and RCM, respectively) outputs to impact assessment studies, which usually depend on multiple potentially dependent variables. To date, various BC methods have been developed which adjust climate variables separately (univariate BC) or jointly (multivariate BC) prior to their application in impact studies (i.e., the component-wise approach). Another possible approach is to first calculate the multivariate hazard index from the original, biased simulations and bias-correct the impact model output or index itself using univariate methods (direct approach). This has the advantage of circumventing the difficulties associated with correcting the inter-variable dependence of climate variables which is not considered by univariate BC methods. Using a multivariate drought index (i.e., standardized precipitation evapotranspiration index´ SPEI) as an example, the present study compares different state-of-the-art BC methods (univariate and multivariate) and BC approaches (direct and component-wise) applied to climate model simulations stemming from different experiments at different spatial resolutions (namely Coordinated Regional Climate Downscaling Experiment (CORDEX), CORDEX Coordinated Output for Regional Evaluations (CORDEX-CORE), and 6th Coupled Intercomparison Project (CMIP6)). The BC methods are calibrated and evaluated over the same historical period (1986-2005). The proposed framework is demonstrated as a case study over a transboundary watershed, i.e., the Upper Jhelum Basin (UJB) in the Western Himalayas. Results show that (1) there is some added value of multivariate BC methods over the univariate methods in adjusting the inter-variable relationship; however, comparable performance is found for SPEI indices. (2) The best-performing BC methods exhibit a comparable performance under both approaches with a slightly better performance for the direct approach. (3) The added value of the high-resolution experiments (CORDEX-CORE) compared to their coarser-resolution counterparts (CORDEX) is not apparent in this study.This research has been supported by the cooperation agreement PFK PhD program 2019–2022 “Partnership for Knowledge-Platform 2: Health and WASH (WAter Sanitation and good Hygiene)” of the AICS-Italian Agency for Development Cooperation, the Erasmus Traineeship Program, Project COMPOUND (TED2021-131334A-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR, and the Horizon 2020 project IS-ENES3 (grant agreement no. 824084)

Energy balance modelling of snow and ice melt for the Naltar catchment (Karakoram, Pakistan) in future climate

High Mountain Asia (HMA), including the Hindu Kush-Karakoram Himalayas (HKH) is one of the world's key “water towers”, with the resources supporting hundreds of millions of people. Currently, this region is experiencing significant demographic and socio-economic growth. Reliable hydrological projections of the future supply of water resources are essential, given the likelihood that water resources demand will continue to increase. In this study, CORDEX South Asia (CORDEX-WAS44) regional climate models (RCMs) and the Physically Based Distributed Snow Land and Ice Model, that was calibrated with hourly meteorological data and daily runoff over eight years of monitoring period, are employed in the Naltar catchment located in the Hunza river basin, Upper Indus Basin, Pakistan to project glacio-hydrological regimes in the future climate. For each of the CORDEX-WAS44 simulations, climate change signals for near future (2040–2059) and far future (2080–2099) under three Representative Concentration Pathways (RCPs) namely RCP2.6, RCP4.5, and RCP8.5 are presented with respect to the corresponding present climate (1991–2010). Results show overall significant increases in mean temperature between (+0.9 to + 6.0 °C, depending upon the scenario) and total precipitation (+6 to + 29 %) from April to September by the end of the century for RCP2.6, RCP4.5, and RCP8.5. The projected simulations of energy and mass balance indicate that snow and ice melt rate will increase consistently in both future periods with an earlier timing of the snowmelt as it appears in June in the near future (2040–2059) and in May in the far future (2080–2099) under the high emission scenario (RCP8.5). The increase in temperature, precipitation and winter snowpack changes are also expected to have a substantial impact on the hydrological regime in the Naltar catchment, with a peak flow occurring one to two months earlier and a total by 2090 and a decrease of total runoff in the monsoon season by –3 to –24 % in the near and far future, respectively, under RCP 8.5 scenario and more neutral changes (–2 to + 3 %) according to RCP 4.5. Based on these results and the discussion above, water availability in the Naltar catchment will be uncertain by the end of the century