Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing and Evaluating A Real time and Energy Efficient Architecture for An Internet of Health Things

Real-time health monitoring systems play a critical role in preventing heart disease by processing vital sign monitoring data. The internet of things will enhance the entire health care service-delivery and can lead to reducing the immediate risk in real-time. Fog assisted health-care IoT system and Edge computing technology are an emerging paradigm that reducing emergency response time and enhanced the quality of experiences. In hierarchical architectures, the task placement strategy for a task or service is a challenge that requires a successful response. In this paper, we propose a quality of experiences-aware health monitoring application according to patients’ demands and evaluate to clarify the impacts of different scenarios. The appropriate task placement scenarios in this hierarchical architecture lead to a satisfying quality of experience for improving health services. These policies are evaluated in terms of health services delivery, energy consumption, cost of execution(CoE) in the cloud, and network usage by iFogSim toolkit. In this paper, we have developed a new approach to improve resource management policies to achieve satisfactory results.
Analysis of Two Hybrid Energy Storage Systems in an Off-Grid Photovoltaic Microgrid: A Case Study

In recent years, driven by global environmental issues, a growing number of renewable energy sources (RESs) have been developed. Microgrids have been confirmed as an important part in the increasing penetrations of renewable energy and the shift from a centralized paradigm to decentralized electricity production. The energy storage system (ESS) is a critical component that affects the development of microgrids. Combining advantages from different energy storage technologies, a hybrid energy storage system (HESS) can satisfy multiple requirements in microgrids. This paper compares the single battery system with the battery-supercapacitor (SC) HESS and the battery-flywheel HESS in an isolated photovoltaic (PV) power microgrid. Results show that both the SC and the flywheel distinctly reduce the battery charging and discharging powers and the required capacity of the battery. Therefore, the stresses and the needed size of the battery are reduced and the battery lifetime is extended.
Decision Tree based Electricity Theft Detection in Smart Grid

One aspect of using smart meters is detecting anomalies in advanced metering infrastructure. Electricity theft, as a well-known anomaly, can be discovered by various machine learning algorithms. In this paper, decision tree, random forest, and gradient boosting methods are implemented and performed on collected power consumption data from 114 single-family apartments to detect non-technical loss, which are generated by various scenarios. Performances of these algorithms are analyzed with and without clustering on the measured data of each user.
Investigation of the Relative Reactivity of Unsaturated Volatile Organic Compounds in Air Under the Action of Pulsed Corona Discharge Plasma

Unsaturated volatile organic compounds (VOCs) are an important pollutant of industrial ventilation air emissions. The presence of a double bond in the composition of their molecules increases their reactivity with respect to plasma components generated by a pulsed corona discharge. This paper presents studies of the influence of the nature and structure of unsaturated VOCs on the efficiency of their destruction under the action of pulsed corona discharge with a duration of 20–45 ns. The method of competing reactions based on the investigation of mixtures of the studied compounds is proposed as a research tool. The method allows us to determine the relative reactivity of compounds with high accuracy and identify the main mechanisms. The obtained results showed that the cleaning efficiency for compounds that do not contain chlorine in their composition correlates well with their reactivity with respect to ozone. Halogen-containing unsaturated compounds, in contrast, are resistant to ozone and are removed more efficiently in nitrogen than in air. The found regularities will be useful for the development of air purification systems in the production of plastics and processes involving halogen-containing solvents.
Collaborative Visualization Framework for Cross-field Working Group: A Qualitative Focus Group Study

This study is conducted to develop a collaborative visualization framework in the cross-field working group. The ultimate goal of this project is to provide a proper framework that can be used to develop a platform to allow collaborative visualization to be implemented inter-disciplinary groups, in two different settings; university students and research groups in research and development companies and institutions. The study begins with preliminary works to define the collaborative visualization based on previous researches. This study will also focus on the factors to develop an effective collaborative working environment thru visualization and shared understanding among the staffs/users from inter-disciplinary backgrounds. In addition, this study will also investigate the interaction between human cognition and ICT attributes of visualization in developing an efficient working group to achieve a common goals and objectives. Towards the end of the study, the framework will be tested to validate its possible contributions to the targeted collaborative working groups.
Shallow Neural Networks for mmWave Radar Based Recognition of Vulnerable Road Users

A millimetre-wave (mmWave) radar, having synergies with the multi-beam light detection and ranging (LiDAR) and cameras, has been considered as a must-have sensor in the connected and autonomous vehicles (CAV) in the future intelligent transportation systems (ITS). Besides the traditional target detection and ranging functions, the mmWave radar is expected to perform more intelligent tasks to improve the road safety, for example recognising the targets, especially the vulnerable road users like pedestrians and cyclists. This paper describes a simulation study of the micro-Doppler signatures of the pedestrian and cyclist based on mmWave vehicle radar and investigates the recognition capabilities through both the convolutional neural networks (CNN), recurrent neural networks (RNN) and mixed convolutional and recurrent approach respectively. The result demonstrates the usability of the mmWave radar Doppler information and complementary with the video and laser data streams in the CAV auto-piloting.
Energy Efficiency MAC Protocols for Wireless Sensor Networks: Slotted Protocols Approach

The power management is a critical aspect in the sensor network, where the sensors are deployed in a difficult environment. In such cases, it is very practical to connect the sensors wirelessly in a multi-hop fashion. In general, in a multi-hop wireless sensor network, the energy wastes by many sources: Collision, resulting from two nodes sending data at the same time over the same transmission medium; Overhearing, when a node picks up packets are destined to other nodes; Control packet overhead, caused by sending and receiving control packets; and the major one is idle listening, when a node listen to receive possible data that is not sent. This work discusses in detail different MAC protocols designed especially for wireless sensor networks to address the problem of power consumption. In particular, we focus on slotted protocols that let the wireless sensor nodes turn on their radio at synchronized times for certain time, and turn them off for other certain times when no communication occurs during some time.
A Conceptual Model of the Relationship between Management Support and the Intention to Adopt Activity-Based Costing: Mediating Effects of Perceived Attributes and Perceived Benefits

Activity-based costing (ABC) is considered as one of the alternatives costing method to traditional management accounting information system. Even though ABC is an advancement of costing tool in manufacturing and service firms, but the adoption of ABC is still lacking. Literature points that management support might evaluate as the most important factor that influence and motivate before, through and after the adoption operation. It considered as crucial for succeeding or failing innovation implementation and use. Based on the previous studies, this paper proposed the conceptual model to study the relationship between management support and the intention to adopt ABC. The model also shows the mediating effect of perceived attributes and perceived benefit of ABC on the relationship.
Connecting black holes and galaxies in faint radio populations at cosmic noon

Abstract We leverage new ultra-deep, high resolution, multi-frequency radio imaging at 6 and 3 GHz with the unique datasets available in the GOODS-S/HUDF region in order to assess the AGN fraction in a faint radio-selected sample. For AGN identification, we adopt a multi-wavelength approach, combining X-ray and (mid-)infrared (IR) selections with radio identification such as X-ray to radio excess, flat radio spectral slopes, and the radio-IR correlation. We identify AGN in 43% of our radio sample, yielding an AGN source density of ∼ 1 arcmin−2. This AGN fraction is likely underestimated, as 1) our shallower 3 GHz data is biased against flat radio spectrum sources and 2) all of our selections may be biased against the most heavily obscured AGN. The James Webb Space Telescope’s Mid-Infrared Instrument (MIRI) will address the latter issue and we briefly outline our Cycle 1 Guaranteed Time Observation (GTO) program to search for heavily obscured AGN.
Using machine tools to analyze changes in students’ ethical thinking

Engineering ethics education entails the development of the ability to recognize the social, cultural, environmental, and global implications of engineering practice. Instructional activities often involve discourse among students and verbal and written responses to ethical issues and dilemmas. The present research applies two machine methods to extract the dominant concepts in engineering undergraduates’ essays that were written at the beginning and end of an engineering ethics course. The two methods were Linguistic Inquiry and Word Count (LIWC) and naïve Bayesian analysis. Both methods showed little overall change in the conceptual basis of beginning versus end of semester essays. Closer analyses of the Bayesian results suggested there were observable individual differences in the essays. Further analysis of these differences may aid in better understanding which students changed their ethical thinking from the beginning to the end of the course. In the Discussion we suggest several ways in which success with these machine methods could aid instruction.
Sorption characteristics and some physical properties of caraway (Carum carvi L.) seeds.

Equilibrium moisture contents were obtained for Caraway (Carum Carvi L.) at 25 and 40°C experimentally over a range of relative humidity values of 23 – 85 %. Seven models were tested to fit the experimental data of caraway. The Peleg model showed the best fit with higher R2 value and lowest root mean square error. Monolayer moisture contents, obtained from BET equation, were found to be 0.0488 and 0.0274 g water/g dry matter and surface area of monolayer is 170.90 and 95.83 m2/g at 25 and 40°C respectively. Physical properties such as mass, volume, true density, geometric mean diameter, degree of sphericity and surface area of Caraway were measured.
Financial Performance Evaluation of Islamic Banking System: A Comparative Study among Malaysia’s Banks

The promotion of Islamic banking is parallel with the aim of Malaysia to be the pioneer of Islamic financial hub in the region. With the recent commitment, it is timely to further examine the performance of the industry constituents. Therefore, this study aims to investigate the performance of Islamic banking system in comparison to its conventional counterpart in Malaysia using CAMEL model. For that purpose, annual financial data collected from ten conventional and Islamic banks in Malaysia since 2004 until 2016 is used in the analysis. Both Dynamic Ordinary Least Square (DOLS) and Fully Modified Ordinary Least Square (FMOLS) estimations technique as suggested by Pedroni (2001) are employed. We find that conventional banking system performed better than its counterpart. The maturity of conventional banks which has treads Malaysia’s financial market earlier could plausibly dominate the results. Our evidence suggests that the regulators should strengthen Islamic banking system through more reforms and mergers to improve its capital, assets, management, earnings and liquidity.
The Weaponization of Cloud-based Social Media: Prospects for Legislation and Regulation

—The 2016 U.S. Presidential election and the 2016 U.K. Brexit referendum are notable for the contemporaneous efforts by Russian-based trolls to manipulate public opinion through Cloud-based social media. Such disinformation warfare raises serious concerns about the risk of negatively influencing democratic processes, as well as the need for viable defensive measures. Responses are required in terms of technical means to detect and counter such “fake news,” as well as legal proscriptions that can serve to control such threatening activities. The present paper addresses this disinformation warfare scenario, describes our current research and technical work in this area, and reviews legal precedents that shed light on the complexities and pitfalls that legislators and regulators encounter when seeking to remediate the threat.
Effect of anterior and posterior operations on surgical parameters and postoperative complications in patients with ossification of the posterior longitudinal ligament

Objective: This study aimed to explore and analyze the effect of anterior and posterior operations for the surgical parameters and postoperative complications in patients with ossification of the posterior cervical ligament. Methods: A total of 78 patients with ossification of the posterior cervical ligament who received treatment in our hospital from January 2019 to October 2019 were selected as the study subjects and divided into the front group (n = 40) and back group (n = 38) according to differences in their selection. The treatment effects, operation time, blood loss and incision length were compared between the two groups. The postoperative Japanese Orthopaedic Association score (JOA), preoperative overall curvature, immediate postoperative curvature and follow-up curvature were compared between the two groups. The incidence rate of postoperative complications was also compared between the two groups. Results: The operation time, blood loss and incision length in the back group were lower than those in the front group (P < 0.05). The JOA scores of the front group were higher than those in the back group at 4 time points of postoperative follow-up (P < 0.05). The overall curvature immediately after operation and during follow-up in the front group was greater than those in the back group (P < 0.05). The incidence rate of axial neck symptoms was 45.00% (18/40) in the front group and 23.68% (9/38) in the back group, with a statistically significant difference (P < 0.05). Conclusion: Compared with a posterior operation, an anterior operation has better efficacy and long-term effect in the treatment of patients with ossification of the posterior longitudinal ligament. An anterior operation can better maintain the curvature of decompression, but the incidence rate of postoperative axial symptoms is slightly higher.
Rapid screening of proton exchange membrane fuel cell cathode catalysts

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PARAMETRIC 3D MODELING OF I-SHAPE KITCHEN

Interior design is the science and art of enhancing the interior of a space in order to achieve a more aesthetically pleasing and functional environment. Furniture as an important element of space decoration can be ready-made or custom-made (goal - maximal use of space). Kitchen design requires many elements disposition rules to be respected in order to get functional space. Therefor interior designer has to spend time on solving this functionality problems and have less time for creative aesthetic work. We developed an algorithm for automatic I-shape kitchen organization on the basis of available kitchen dimensions. This algorithm automatically generates kitchen disposition and makes a parametric 3D model. Developed algorithm is implemented and tested using SketchUp dynamic components.
ANALYSIS OF PUBLIC LIGHT FIELD DATASETS FOR VISUAL QUALITY ASSESSMENT AND NEW CHALLENGES

Different orientations of rays emitted by a 3D scene are captured in Light field (LF) imaging. In this, spatial along with angular information of the scene is captured. LF offers higher dimensional representation which needs advanced processing such as post-capture refocusing, depth sensing, compression, and reconstruction. These processing methods often induce artifacts as the quality is degraded. So, it is important to understand the mechanism of human visual quality perception to find the optimal performance that maximizes the quality of experience (QoE) of LF. The measurement of this data degradation is possible with the availability of a suitable dataset. In this paper, we present a comprehensive overview and discussion of publicly available LF datasets with emphasis on dataset with subject score. Furthermore, we discuss the current trends and existing challenges in LF dataset creation for QoE.
Low Knockdown Resistance Frequency In Anopheles Gambiae Complex Resistant To Some Who-Approved Insecticides In Selected Areas Of Lagos State, South-West, Nigeria

Background: Decline in malaria prevalence is usually attributed to the efficient vector control strategies implemented in such endemic areas. The spread of insecticide resistance in Anopheles mosquitoes is a major drawback to the gains in malaria vector control. Here we assessed the susceptibility status of Anopheles gambiae s.l. to some selected WHO-approved insecticides and frequency of knockdown resistance gene in two Local Government Areas of Lagos State, Nigeria. Methods: Three to five days old adult female mosquitoes were exposed to deltamethrin, permethrin and bendocarb. Knockdown time was recorded every ten minutes and % mortality taken at 24hr post exposure. KDT50 and KDT95 were determined using probit regression analysis. The resistant mosquitoes were used for species identification by Polymerase Chain Reaction (PCR) assays and characterized for the knockdown resistance (kdr) mutation by allele-specific PCR (AS-PCR). Results: The results of twenty-four hour post exposure mortality rate showed that mosquitoes sampled at differ-ent locations were resistant to permethrin (39% mortality for Lagos Mainland L.G.A.; 45% for Kosofe L.G.A.), del-tamethrin (51% for Lagos Mainland L.G.A; 68% for Kosofe L.G.A), but susceptible to bendiocarb (100% for Lagos Mainland L.G.A.; 99% for Kosofe L.G.A.). The KDT50 varied from 34 minutes in bendiocarb for both LGAs to 190 minutes in deltamethrin for Kosofe and 119 minutes in permethrin for Lagos Mainland. In all insecticides tested for both LGAs, KDT95 was greater than 60 minutes. Only the 1014F kdr mutation was detected. The overall kdr frequen-cy was low (1.79%). There was no significant association between the presence of the 1014F kdr allele and ability of Anopheles mosquitoes to survive exposure to the tested insecticides (P > 0.05). Conclusion: This level of resistance to WHO approved insecticides is a threat to control programs and can have significant operational impact, if action is not taken.
Cerebroprotective Activity of U-50488h: Relationship to Interactions With Excitatory Amino Acids and Calcium.

The mechanism underlying the anticonvulsant and cerebroprotective activity of U-50488H was evaluated using {sup 45}Ca{sup ++} uptake in rat Ficoll purified synaptosomes, ({sup 3}H)-2-deoxyglucose uptake in selected mouse brain regions, ({sup 3}H)kainic acid binding to mouse forebrain synaptic membranes and incidence of KA-induced lesions in the CA3 region of the mouse hippocampus. U-50488H causes reduction in K{sup +}-evoked {sup 45}Ca{sup ++} uptake. These effects are comparable to those of the calcium channel blockers verapamil and nifedipine and seem to be related to calcium dependent mechanisms. Changes in saturability, specificity and dissociation constant values of kainic acid receptor binding were demonstrated in the presence of U-50488H at concentrations similar to those used in {sup 45}Ca{sup ++} uptake studies and in the presence of calcium and chloride ions.
Robots, Labor Market Frictions, and Corporate Financial Policies

Using a novel dataset from the International Federation of Robotics (IFR), I find that robots can transform the labor market landscape and mitigate the impact of labor market frictions on financial policy decisions. Firms with more robots, which reduce labor adjustment costs and operational risk, have higher financial leverage and hold less cash. Such firms rely less on employees and attach less importance to gaining bargaining advantages over unions. The effects of robots on corporate financial policies are stronger for firms with more blue-collar workers. When facing greater foreign competition, firms with more robots are able to adopt less conservative financial policies. The effects of minimum wage increases on corporate financial policies are weaker for firms with more robots.
Investigating the tension between cloud-related actors and individual privacy rights

—Historically, little more than lip service has been paid to the rights of individuals to act to preserve their own privacy. Personal information is frequently exploited for commercial gain, often without the person’s knowledge or permission. New legislation, such as the EU General Data Protection Regulation Act, has acknowledged the need for legislative protection. This Act places the onus on service providers to preserve the conﬁ-dentiality of their users’ and customers’ personal information, on pain of punitive ﬁnes for lapses. It accords special privileges to users, such as the right to be forgotten. This regulation has global jurisdiction covering the rights of any EU resident, worldwide. Assuring this legislated privacy protection presents a serious challenge, which is exacerbated in the cloud environment. A considerable number of actors are stakeholders in cloud ecosystems. Each has their own agenda and these are not necessarily well aligned. Cloud service providers, especially those offering social media services, are interested in growing their businesses and maximising revenue. There is a strong incentive for them to capitalise on their users’ personal information and usage information. Privacy is often the ﬁrst victim. Here, we examine the tensions between the various cloud actors and propose a framework that could be used to ensure that privacy is preserved and respected in cloud systems.