bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study of Named Data Networking as Communication Protocol for Multi-hop Wireless Ad Hoc Network
Authors: Muchtar Farkhana , Lukuman Saheed Ajibade , Helmy Abd Wahab Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
Named Data Networking (NDN) has been repeatedly quoted in numerous past and existing literature reviews to have replaced Host Centric Networking (HCN) due to its ability to solve energy efficiency issues inherent in Multi-hop Wireless Ad-hoc Networks (WAHN). However, this claim is proven to be wholly unsubstantiated and is not justified by academic proof in said articles. Therefore, this study take the initiative to fill in this gap by presenting a comparative study of NDN based MWAHN and HCN based MWAHN through the use of real implementation by measuring two parameter metric that are related to energy efficiency, namely energy consumption and file transfer completion time. For this study, NDN-based MWAHN is compared with two type of actively developed HCN routing protocol implementation, namely Babeld and BMX6. The results obtained from this experiment is crucial for MWAHN researchers to gain better understanding of the real potential of the NDN based routing that can be used as a solution for energy consumption issues that exist in wireless multi-hop ad-hoc network.
Bluetooth Based Indoor Navigation System
Authors: Uttraphan C. , Abdul Aziz F. , Helmy Abd Wahab Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
The navigation system has been around for many years in terms of map and simple navigation control, and only recently has technology caught up in the idea of the interconnected world, allowing full assist of navigating from one point to another becomes reality. Recently, the architecture of the shopping stores is getting more and more complex and it is hard for the consumers to find their desired store. As the satellite signal cannot be used inside the building, hence, in this project, we propose an indoor navigation system by using the Bluetooth low energy (BLE) signal. The BLE signal is emitted from every BLE beacon in the building and the receiver which is the smartphone will determine which of the beacon is the closest to the receiver and determine the user location. This technique is called fingerprint which is usually used for BLE beacon. The verification tests have been performed in UTHM where the lecture hall complex was used for the test. The results show that the proposed system is able to navigate to the destination accurately.
A Review: An Evaluation of Current Artificial Intelligent Methods in Traffic Flow Prediction
Authors: Rusyaidi Muhammad , Ibrahim Zunaidi 
Published: September 2020

Abstract
Modelling the flow of traffic is a growing issue for several city and traffic issues, using artificial intelligence to engineer as a better traffic system is the focus of artificial intelligence research. This paper, therefore, compares, analyzes and evaluates machine learning and deep learning in autonomous vehicle traffic flow prediction. Methods of machine learning and deep learning used by other researchers will be compared to each other to give results and suggestions based on their methods evaluation. The paper concludes with suggestions as to where the method would provide the most appropriate and effective technique for modern smart transport systems.
Modeling and Simulation of Blood Flow Analysis on Simplified Aneurysm Models
Authors: Sheh Hong Lim , Azrul Hisham Mohd Adib Mohd , Uzair Matalif Muhammad , Shafie Abdullah Mohd , Hartini Mohd Taib Nur , Hassan Radhiana 
Published: September 2020

Abstract
Nowadays, the cerebral aneurysm is an abnormal focal dilation of a brain artery which is considered as a serious and potentially life-threatening condition. The rupture of an aneurysm causes subarachnoid hemorrhage (SAH) and is associated with high rates of morbidity and mortality. A better understanding of the mechanisms underlying aneurysm pathophysiology is crucial for the development of new preventive procedures and therapeutic strategies. This study focuses on the modeling and simulation of the blood flow analysis using simplified aneurysm models to perform early prediction on the geometrical effects of hemodynamics. The investigation involves three simplified models of aneurysms reconstructed using Solidworks 2019, in which the aneurysms are developed at the bifurcation. The qualitative comparison of the hemodynamics between three models was obtained and the geometrical effects were evaluated. The results show that the differences in shape and geometry on aneurysms affect the hemodynamics trend and are capable to apply for further understanding of problems regarding hemodynamics in the patient.
Design Woodball Line Detection and Monitoring System: A Preliminary Study
Authors: Chandrasegaran Janathnan , Azani Mustafa Wan , Aminudin Jamlos Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
This paper entails the incorporation of electronics in the sports of woodball. The decisions made by the referees in most sports nowadays are with the use of electronic technologies to assist them. For instance, the goal-line technology in football and the electronic line judge in tennis is some of the recent advances in electronic technologies that have revolutionized sports as we know it. The woodball line detection and monitoring system serves a similar purpose where it assists the referee in making decisions and modernize the sports of woodball. The current woodball sports depend entirely on referees to give out decisions. The line detection technology helps to notify the referee if the woodball is Out of Bounds (OB) whereas the monitoring system notifies the player, referee and the audience whether the gating is successful or not. However, manual assistance from the referee is still needed for starting the play after a successful gating because the player is not allowed to touch the woodball during the entire game.
Exploratory of Electrical Learning Kit for STEM Application
Authors: Basar M.F. , Zulkarnain I. A. , Razik N.H.A. , Zakaria Z. , Mustafa W.A. , Zulkarnain Syed Idrus Syed , Aminudin Jamlos Mohd 
Published: September 2020

Abstract
Throughout the year, the implementation of the traditional approach (lecture-based) in the teaching and learning process seems to be less effective in increasing the interest among students towards the STEM subjects. Conversely, the use of practical learning method emphasizes on the psychomotor domain so that readers gain a clearer and more effective understanding. Thus, the aim of this paper is to investigate and exploratory the unique approach in implementation the learning kit where the students will increase their understanding towards the fundamental of electrical engineering. The effects that influenced the development process of learning kit is discussed and provided the ideas to build a quality learning kit for students who involved in STEM.
UAV Based Image Acquisition Data for 3D Model Application
Authors: Saifizi M. , Azani Mustafa Wan , Syahirah Mohammad Radzi Nur , Aminudin Jamlos Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
The UAV mapping has a huge potential for a number of sectors including construction, agriculture, mining, infrastructure inspection and real estate. The demand for high quality aerial data capture from UAVs or unmanned aerial vehicle (UAV) is growing fast and increase rapidly. In civil application, UAVs are used as an assisting tools for a large scale aerial mapping of the building which in general it’s a challenging task for surveyor to do because of the unreachable access area, time consuming and often cost expensive due to the limited resources and equipment. In this thesis, the UAV based mapping is introduce to overcome this problem. The selected place to do the research is the building around Taman Sri Layang, Mentakab Pahang. A flight mission plan was developed in two path that is path A and path B and uploaded in UAV. In this study, the DJI Mavic Pro drone is used to do the mapping process. Besides that, the UAV will capture and collecting visual image when flying from different flight path. Both flight path covers 6 acres area, with 80% overlap and 70% side lap. The total picture is captured using path A and path B around 157 and 147 figures respectively.
Multiple Fusions Approach for Keystroke Dynamics Verification System with Soft Biometrics
Authors: Noorulfakhri Yaacob Mohd , Zulkarnain Syed Idrus Syed , Azani Mustafa Wan , Aminudin Jamlos Mohd , Helmy Abd Wahab Mohd 
Published: September 2020

Abstract
Computer security is a process that controls the entire information system, including network, system and hardware. Important information that must be controlled in a system is the data or information contained in a system. Various methods have been used to ensure that only users with legitimate access to data can use a system. Usernames and passwords have been a common practice by many systems as the first requirement to be fulfilled to access the system, but some systems use the secondary verification for additional confirmation. In this article, Keystroke Dynamics has been used as the user’s second level authentication for the systems that use the keyboard to login into a system. A common problem of system intrusions is that the system fails to identify the user who signs in using the keyboard when the login is correct. There is a possibility that someone else tries to break into the system. To ensure and improve users’ recognition who use the keyboard to enter their logins into the system, Keystroke Dynamics is used as a next-level verification if the login is correct. Soft biometrics is used in the user authentication process using KD method in this study. The soft biometric elements used in this study are culture, gender, educational level (CGPA - Cumulative Grade Point Average) and region of birth (ROB). All of these four soft biometric elements are expected to enhance capabilities in the user authentication process.
Analysis of Rectangular Flexible Horizontal Piezoelectric Cantilever Beam Base on ANSYS
Authors: Deraman A S , Niirmel R , Mohamad M R 
Published: September 2020

Abstract
This paper presents the analysis of energy harvester by using rectangular flexible piezoelectric cantilever beam in which applied on sea wave. The limitation of blade design is it only focus on single direction flow of sea wave motion. The finite element model is constructed by using ANSYS to optimize the blade design to maximize the output power. The analysis of rectangular flexible piezoelectric design shows the ability to generate variable of electric power from minimum 20 µW up to 141.30 µW, with dimension of width, length, height of piezo is 10 mm, 30 mm, 0.10 mm and amplitude of sea wave surface of 1.5 m respectively.
Enhancement of LMS Convergence Rate with CLS-DFE for 5G Wireless Communication System
Authors: Sulong S. M. , Idris A. , Ali D. M. 
Published: September 2020

Abstract
WiMAX physical layer implemented Orthogonal Frequency Division Multiple Access (OFDMA) as one of the medium to conduct data transmission. OFDMA suffers from Intersymbol Interference (ISI) which can distort efficiency of the signal transmitted. ISI emerges in the system because of multipath. Basic Cascaded Least Square (CLS) with Decision Feedback Equalizer (DFE) had been proposed in previous research to minimize ISI in wireless communication system. This research will improve CLS performance in terms of convergence. CLS is a cascaded of two adaptive algorithms which are Least Mean Square (LMS) and Recursive Least Square (RLS). Although basic LMS has low complexity than RLS and has been used widely in wireless environment, LMS is suffering in terms of convergence. Updated Normalized Least Mean Square (NLMS) with training rate applied in this research to overcome disadvantage in LMS algorithm. This research justified that training rate is an alternative method to improve CLS-DFE in wireless communication system.
Mild Drought Facilitates the Increase in Wheat Aphid Abundance by Changing Host Metabolism
Authors: Cui Hongying , Wang Leyun , Reddy Gadi V P , Zhao Zihua 
Published: September 2020

Abstract
Water shortages and water pollution are current issues in ecosystems around the world, and the stress induced by drought can further increase negative impacts on agriculture in these areas. In the present experiment, we examined the effect of mild drought on wheat plants grown in association with the wheat aphid Sitobion avenae Fabricius (Hemiptera: Aphididae) in 2019 and 2020. Using plot experiments, we tested the hypothesis that mild drought tends to enhance the performance of this wheat aphid by changing the nutritional quality of the wheat plants. We found that mild drought treatment significantly increased aphid abundance and population growth rates. Also, mild drought significantly increased total amino acid concentration of the wheat ear as well as concentrations of key amino acids, including Arg, Ile, Leu, Lys, Phe, Try, Gly, Ala, Tyr, and Cys in 2019, and Arg, Ile, Leu, Lys, Gly, and Cys in 2020. Mild drought led to a shift in the composition of amino acids in the plants, causing cascading effects at higher trophic levels. Such changes suggest that the carrying capacity of the environment with respect to aphids will increase if mild drought events continues to increase in frequency with climate change.
Association Between Use of Anticancer Drugs and Cardiovascular Disease–Related Hospitalization in Metastatic Colorectal Cancer: Insights From a Population-Based Study, the Anticancer Vigilance of Cardiac Events Study
Authors: Dolladille Charles , Launoy Guy , Bouvier Véronique , Salem Joe-Elie , Legallois Damien , Milliez Paul , Sassier Marion , Lobbedez Thierry , Guittet Lydia , Alexandre Joachim 
Published: September 2020

Abstract
We aimed to investigate the association between use of anticancer drugs and cardiovascular-related hospitalization (CVRH) among patients with metastatic colorectal cancer (mCRC). A cohort study, the Anticancer Vigilance of Cardiac Events (AVOCETTE) Study, was conducted using data from the digestive tumor registry of a French county, the Département du Calvados. Incident mCRC cases diagnosed between 2008 and 2014 were included. The follow-up end date was December 31, 2016. Data from the county hospital center pharmacy and medical information departments were matched with the registry data. A competing-risks approach was used. Statistical tests were 2-sided. A total of 1,116 mCRC patients were included, and they were administered 12,374 rounds of treatment; fluorouracil, oxaliplatin, irinotecan, and bevacizumab were most common drugs used. A total of 208 CVRH events occurred in 145 patients (13.0%). The International Cancer Survival Standards type 1 standardized incidence was 84.0 CVRH per 1,000 person-years (95% confidence interval: 72.6, 95.5). Anticancer drugs were not associated with a higher incidence of CVRH. Male sex, increasing age, a prior history of CVRH, and a higher Charlson comorbidity index score were associated with a higher incidence of CVRH. CVRH was significantly associated with higher all-cause mortality (multivariable hazard ratio = 1.58, 95% confidence interval: 1.28, 1.95). In this study, anticancer drugs were not associated with a higher incidence of CVRH in mCRC patients.
Evaluation of the reliability of MRSA screens in patients undergoing universal decolonization
Authors: Chaudhry Amna , Allen Bryan , Paylor Meagan , Hayes Sarah 
Published: September 2020

Abstract

Purpose
Colonization of methicillin-resistant Staphylococcus aureus (MRSA) can be detected via nasal screens. Evidence indicates that negative MRSA nasal screens may be used to de-escalate anti-MRSA antibiotics in pulmonary infections. In the ICU, universal decolonization with intranasal mupirocin is implemented to reduce MRSA infection risk. This study aimed to determine whether mupirocin administration affects the reliability of MRSA PCR nasal screens.

Methods
This retrospective study divided subjects based on timing of intranasal mupirocin administration—before and after MRSA screen. Subjects with confirmed pulmonary infection that received vancomycin, blood/respiratory cultures, and had MRSA PCR screen collected were included. Subjects with concurrent infection requiring vancomycin or MRSA infection in prior 30 days were excluded. Primary outcome of this non-inferiority study was the negative predictive value (NPV) of the screen. Secondary outcomes included the positive predictive value (PPV), sensitivity, and specificity of the screen and duration of vancomycin.

Results
Ultimately, 125 subjects were included in each group. The NPV in the group receiving mupirocin before screen was 95.2%, whereas the NPV in the group receiving mupirocin after screen was 99%. The difference between groups was -3.8% (90% CI -7.8%-0.2%; p=0.31), which failed to meet non-inferiority criteria. The secondary outcomes of PPV, sensitivity and specificity of the screen were similar in both groups. The duration of vancomycin was significantly longer in subjects receiving mupirocin before screen (3 days vs. 2 days; p&lt;0.05).

Conclusion
Intranasal mupirocin prior to the screen may reduce NPV in pulmonary infections. Approach de-escalation of vancomycin based on screen results with caution.
Shifts in fine root traits within and among species along a fine-scale hydrological gradient
Authors: Taseski Guy M , Keith David A , Dalrymple Rhiannon L , Cornwell William K 
Published: September 2020

Abstract

Background and Aims
Lessons from above-ground trait ecology and resource economics theory may not be directly translatable to below-ground traits due to differences in function, trade-offs and environmental constraints. Here we examine root functional traits within and across species along a fine-scale hydrological gradient. We ask two related questions: (1) What is the relative magnitude of trait variation across the gradient for within- versus among-species variation? (2) Do correlations among below-ground plant traits conform with predictions from resource-economic spectrum theory?

Methods
We sampled four below-ground fine-root traits (specific root length, branching intensity, root tissue density and root dry matter content) and four above-ground traits (specific leaf area, leaf size, plant height and leaf dry matter content) in vascular plants along a fine-scale hydrological gradient within a wet heathland community in south-eastern Australia. Below-ground and above-ground traits were sampled both within and among species.

Key Results
Root traits shifted both within and among species across the hydrological gradient. Within- and among-species patterns for root tissue density showed similar declines towards the wetter end of the gradient. Other root traits showed a variety of patterns with respect to within- and among-species variation. Filtering of species has a stronger effect compared with the average within-species shift: the slopes of the relationships between soil moisture and traits were steeper across species than slopes of within species. Between species, below-ground traits were only weakly linked to each other and to above-ground traits, but these weak links did in some cases correspond with predictions from economic theory.

Conclusions
One of the challenges of research on root traits has been considerable intraspecific variation. Here we show that part of intraspecific root trait variation is structured by a fine-scale hydrological gradient, and that the variation aligns with among-species trends in some cases. Patterns in root tissue density are especially intriguing and may play an important role in species and individual response to moisture conditions. Given the importance of roots in the uptake of resources, and in carbon and nutrient turnover, it is vital that we establish patterns of root trait variation across environmental gradients.
Predictive value of immune cell counts and neutrophil-to-lymphocyte ratio for 28-day mortality in patients with sepsis caused by intra-abdominal infection
Authors: Liu Shuangqing , Li Yuxuan , She Fei , Zhao Xiaodong , Yao Yongming 
Published: September 2020

Abstract

Background
The current study aimed to evaluate the value of immune cell counts and neutrophil-to-lymphocyte ratio (NLR) when attempting to predict 28-day mortality.

Methods
We conducted an observational retrospective study that included consecutive septic patients. Severity scores on the first day and peripheral circulating immune cell counts (at day 1, day 3, day 5 and day 7 of admission) were collected during each patient’s emergency intensive care unit stay. We assessed the associations of peripheral circulating immune cell counts and NLR with the severity of illness. The relationships between 28-day mortality and peripheral circulating immune cell counts and NLR with were evaluated using Cox proportional cause-specific hazards models.

Results
A total of 216 patients diagnosed with sepsis caused by IAI were enrolled. The lymphocyte counts (days 1, 3, 5 and 7) and monocyte counts (days 3, 5 and 7) were significantly lower in non-survivors (n = 72) than survivors (n = 144). The NLR values at each time point were significantly higher in non-survivors. The day 1 lymphocyte counts, as well as the monocyte counts, were significantly lower in the highest-scoring group, when stratified by the Acute Physiology and Chronic Health Evaluation II and Sequential Organ Failure Assessment scores, than in the other groups (p &lt; 0.05). The day 1 NLR was significantly higher in the highest-scoring group than in the other groups (p &lt; 0.05). The day 5 and day 7 lymphocyte counts, day 3 and day 7 monocyte counts and day 7 NLR were significant predictors of 28-day mortality in the Cox proportional hazards models (day 5 lymphocyte count: hazard ratio, 0.123 (95% CI, 0.055–0.279), p &lt; 0.001; day 7 lymphocyte count: hazard ratio, 0.115 (95% CI, 0.052–0.254), p &lt; 0.001; day 3 monocyte count: hazard ratio, 0.067 (95% CI, 0.005–0.861), p = 0.038; day 7 monocyte count: hazard ratio, 0.015 (95% CI, 0.001–0.158), p &lt; 0.001; day 7 NLR: hazard ratio, 0.773 (95% CI, 0.659–0.905), p = 0.001).

Conclusions
The results showed that circulating lymphocytes and monocytes were dramatically decreased within 7 days in non-survivors following sepsis from an IAI. Lymphocyte counts, monocyte counts and NLR appeared to be associated with the severity of illness, and they may serve as independent predictors of 28-day mortality in septic patients with IAIs.