bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neonatal Lymphopenia Screening Is Important for Early Diagnosis of Severe Combined Immunodeficiency
Authors: Poyraz Aykut , Cansever Murat , Muderris Ipek , Patiroglu Turkan 
Published: June 2021

Objective T-cell receptor excision circles are expensive for neonatal severe combined immunodeficiency screening in developing countries. We aimed to detect immunodeficiencies presenting with lymphopenia to enable screening in the general population and to improve awareness regarding lymphopenia among clinicians.
Study Design This study was conducted prospectively. In all newborns included, complete blood count from umbilical cord blood samples was recorded. Absolute lymphopenia was defined as absolute lymphocyte count <3,000/mm3 in umbilical cord blood sample. Complete blood count was repeated at month 1 in cases found to have lymphopenia.
Results Overall, 2,000 newborns were included in the study. Absolute lymphopenia was detected in 42 newborns (2.1%), while lymphocyte count was >3,000/mm3 in 1,958 newborns (97.9%). Two infants with persisted lymphopenia at the end of the first month; therefore, further evaluations such as lymphocyte subsets for severe combined immunodeficiency (SCID) were done. In the first infant, the lymphocyte subgroups were detected as compatible with T (−), B (−), natural killer cells (NK) (+) SCID phenotype RAG defect. Sanger sequencing revealed that NM_000448 c.2209C > T (p.R737C) homozygous mutation of RAG1 gene. In the other infant, the lymphocyte subgroups were found as considered with T (−), B (+) NK (−) SCID phenotype JAK3 defect. Both patients underwent hematopoietic stem cell transplantation from human leukocyte antigen-matched family member.
Conclusion Absolute lymphopenia by complete blood count is a more simpler, relatively noninvasive and inexpensive screening methodfor detection of SCID in newborns compared with T-cell receptor excision circles technique.
Key Points
How accurate are EOM-CC4 vertical excitation energies?
Authors: Loos Pierre-François , Matthews Devin A. , Lipparini Filippo , Jacquemin Denis 
Published: June 2021

We report the first investigation of the performance of EOM-CC4—an approximate equation-of-motion coupled-cluster model, which includes iterative quadruple excitations—for vertical excitation energies in molecular systems. By considering a set of 28 excited states in 10 small molecules for which we have computed CC with singles, doubles, triples, quadruples, and pentuples and full configuration interaction reference energies, we show that, in the case of excited states with a dominant contribution from the single excitations, CC4 yields excitation energies with sub-kJ mol−1 accuracy (i.e., error below 0.01 eV), in very close agreement with its more expensive CC with singles, doubles, triples, and quadruples parent. Therefore, if one aims at high accuracy, CC4 stands as a highly competitive approximate method to model molecular excited states, with a significant improvement over both CC3 and CC with singles, doubles, and triples. Our results also evidence that, although the same qualitative conclusions hold, one cannot reach the same level of accuracy for transitions with a dominant contribution from the double excitations.
Early collaborations
Authors: Lustigman Lyle 
Published: June 2021

AbstractThe present study examines the development of ‘but’-introduced clauses in adult-toddler conversations, distinguishing between autonomous productions (I wanna staybutwe need to go) and adult-child co-constructed uses (Adult:we’re going home, Child:butI wanna stay). Analyses covered all adult and childaval‘but’ uses in three longitudinal Hebrew corpora (age-range: 1;5–3;3), showing that: (1) both adults and children mostly useaval‘but’ in co-construction rather than autonomously; (2) adults begin co-constructing ‘but’-clauses with children months before the children start using ‘but’, mostly by elaborating on single-word child productions before adding the ‘but’-clause (Child:cup, Adult:that’s a cup, butyou don’t like juice); (3) as children start combining more clauses, adults gradually conjoin more ‘but’-clauses directly with the children’s productions, without elaboration (Child:let’s go. Adult:butfirst put on your shoes). These patterns suggest that the main function of ‘but’-clauses in adult-child discourse is co-constructing ideas contributed by two (or more) interlocutors. Such co-constructions are initially scaffolded by the adults, until the children are able to contribute full-fledged propositions to co-constructions. These findings provide further evidence of the role of adult-child interaction in introducing and familiarizing children with new linguistic structures, and advancing their developing grammar.
Performing Whiteness, Troubling Blackness: Afropolitanism and the Visual Politics of Black Bodies in YouTube Videos
Authors: Telep Suzie 
Published: June 2021

AbstractThis article explores the relation between linguistic and nonlinguistic signs in enregisterment processes (Agha 2007) through the analysis of multimodal images of racial otherness in YouTube videos. It aims to show the role of images in indexing social meaning and performing hegemonic Whiteness among metropolitan Cameroonian-French elites living in Paris, through the use of a specific semiotic register indexing an “Afropolitan” persona – an elite, socially mobile and transnational type of Blackness. By focusing on the poiesis of “image-texts” (Nakassis 2019), this article will contribute to understanding the “total semiotic fact” of racial and social differentiation. It will also demonstrate that these images constitute a counter-discourse and are political acts that negotiate agency and contest power relations.
Solution of universal nonrelativistic nuclear DFT equations in the Cartesian deformed harmonic-oscillator basis. (IX) HFODD (v3.06h): a new version of the program
Authors: Dobaczewski J , Bączyk P , Becker P , Bender M , Bennaceur K , Bonnard J , Gao Y , Idini A , Konieczka M , Kortelainen M , Próchniak L , Romero A M , Satuła W , Shi Y , Werner T R , Yu L F 
Published: June 2021

Abstract
We describe the new version (v3.06h) of the code HFODD that solves the universal nonrelativistic nuclear DFT Hartree–Fock or Hartree–Fock–Bogolyubov problem by using the Cartesian deformed harmonic-oscillator basis. In the new version, we implemented the following new features: (i) zero-range three- and four-body central terms, (ii) zero-range three-body gradient terms, (iii) zero-range tensor terms, (iv) zero-range isospin-breaking terms, (v) finite-range higher-order regularized terms, (vi) finite-range separable terms, (vii) zero-range two-body pairing terms, (viii) multi-quasiparticle blocking, (ix) Pfaffian overlaps, (x) particle-number and parity symmetry restoration, (xi) axialization, (xii) Wigner functions, (xiii) choice of the harmonic-oscillator basis, (xiv) fixed omega partitions, (xv) consistency formula between energy and fields, and we corrected several errors in the previous versions.
A system-level calibration method including temperature-related error coefficients for a strapdown inertial navigation system
Authors: Wang Zichao , Xie Yuanping , Yu Xudong , Fan Huiying , Wei Guo , Wang Lin , Fan Zhenfang , Wang Guochen , Luo Hui 
Published: June 2021

Abstract
The calibration of error coefficients for accelerometers and laser gyros is an effective way to improve the navigation precision of strapdown inertial navigation systems. The calibration parameters often change with temperature. This paper proposes a system-level calibration method including temperature-related error coefficients. The method includes an improved 18-step calibration scheme with temperature being changed by using a thermal chamber. A 42-dimensional Kalman filter is applied to estimate the error parameters including the bias, scale factor errors, installation errors and temperature-related error coefficients of accelerometers. This method has the great advantage of simplifying the calibration procedure and is widely applicable to all temperature-related error coefficients. Compared with the traditional calibration method at different temperature points, the calibration time of the proposed method is shortened by 24 h. The feasibility of this method is verified by simulations and navigation experiments. The results of navigation experiments show that the maximum positioning errors in pure inertial navigation decrease by approximately 30% after temperature compensation.
Analytical calculation of lightning strike probability for floating roof tanks
Authors: Adekitan Aderibigbe Israel , Rock Michael 
Published: June 2021

Abstract
Fire hazard studies have shown that lightning is a major threat to petroleum storage facilities, especially floating roof tanks (FRT) due to the risk of lightning-induced fires which may ultimately result in tank boil over, and an increased risk of the fire spreading to adjoining facilities. Lightning is a natural occurrence with scientific attributes that have been studied for decades towards mitigating lightning-related hazards. The probability of a direct lightning strike to various points on a FRT can be estimated by applying the dynamic electro-geometrical model (DEGM) using numerical techniques, and this provides information on the high-risk lightning-strike points on the FRT. This numerical approach involves surface discretization resulting in millions of meshed points in some cases, both on the structure and the surrounding space. This requires a lot of computer resources, and the simulation is slow to compute. In this study, simple and easy to compute equations were developed and hereby proposed as alternatives to numerical DEGM by applying analytical equations directly from first principles. The result confirms the susceptibility of the shell’s rim region to direct lightning strikes with 90.61% probability of a direct strike for a 20 m high tank and 88.58% for a 15 m high tank with 60 m in diameter. The results show close approximations to the numerical model and also reveals the effects of the discretization size on the accuracy of the numerical approach, while also reducing the computation time from several hours to a few minutes.
Review of Edge-based Image Segmentation on Electrical Tree Classification in Cross-linked Polyethylene (XLPE) Insulation
Authors: Isa M A M , Rohani M N K H , Ismail B , Rosmi A S , Isa M , Mustafa W A , Kamarol M , Mansor N S , Nazar N S M 
Published: June 2021

Abstract
Electrical trees are the degradation events most linked with partial discharge (PD) activity in cross-linked polyethylene (XLPE) insulation of high voltage (HV) cables. To investigate tree structures and forms, study of electrical tree structures for morphological analysis often carried out using optical microscopy. However, since the noise induced by the occlusion and illumination, as well as by non-uniform intensity either from optical device’s setting or the non-standard readout procedure, causes the deterioration of the original microscopy images, resulting in critically loses of information pertaining the tree structures making it difficult to obtained accurate measurement. Image segmentation is one of the potential solutions as it is well-suited for extracting information or certain features from microscopy images. This paper provides review of several segmentation techniques applied on the classification of electrical tree image acquired through lab environment. The works can be separated into three stages. The first step includes the preparation of samples and collection of treeing images by means of real-time microscopy observations. The captured data would then be pre-processed to achieve image binarization. In the next step, image segmentation process is conducted using existing edge-based segmentation methods including Prewitt, Roberts, Canny and Kirsch’s templates. Later, comparative analysis will be performed using IQA (image quality assessment) metrics of accuracy, sensitivity, specificity, false-positive-rate and the Matthews Correlation Coefficient (MCC) as the final step. Performance-wise indicates that Kirsch’s template able to segment most of the treeing pixels with accuracy of 97.63%, 63% sensitivity, 98.18% specificity and 0.46 MCC while showing low pixels misclassification. This result provides better justification for the integration of the edge-based technique in developing image segmentation algorithm well-matched for the electrical tree analysis in the future.
Investigation of Spherical Electrode Grounding System Under High Impulse Conditions with Different Polarities
Authors: Hamid HA , Adzman MR , Hanafi NH , Nor NM , Abdullah S , Reffin MS , Etobi NA , Abd-Rahman R 
Published: June 2021

Abstract
There have been many studies in the pasts, which showed that under high impulse conditions, soil ionization process around the electrode would occur, which results in lower resistance and lower transient voltage on the electrode. Several factors have also been found to affect the ionization process in soil such as; soil types and its grain sizes, moisture contents in the soil, earth electrode configurations, impulse polarity, the location of the injection point, the shape of response time, etc. In this paper, spherical electrodes grounding is used to study the ionization process in the grounding system under different impulse polarity of the current. The experiment was done by field measurement using a commercially available impulse current generator. It was found that lower earth resistance was seen to decrease with increasing current magnitudes for both impulse polarities. In addition, it was found that at low impulse current with negative polarity has a higher resistance than that of positive polarity. This paper is, therefore, to investigate towards improvement on grounding electrode’s design, which would consider soil ionization process
Characterization of Hardening Duffing Oscillator based on a Tensioned Wire System
Authors: Rahim M A , Azalan M S Z , Arib M N 
Published: June 2021

Abstract
In this paper, the characterization of mechanical system that behaves as a hardening Duffing oscillator is presented. This mechanical system comprises a mass attached to a tensioned wire which exhibits a hardening stiffness behavior when the displacement of the mass is large. Firstly, the equation of motion of the system is derived to provide the relationship between the applied static force and the resulting displacement. Then, the effect of initial tension, and number of the wires on the force-displacement relationship are analyzed. It has been found that a higher tension will produce higher linear stiffness, whilst having a negligible effect on cubic stiffness. Moreover, the nonlinearity is less sensitive for small inequality between the length of wire on the left and right side of the mass. The results presented herein provide an insight of the system behavior for its application as a vibration isolator.
Feature Extraction based on Empirical Mode Decomposition for Shapes Recognition of Buried Objects by Ground Penetrating Radar
Authors: Ali Hasimah , Azalan Mohd Shuhanaz Zanar , Zaidi Ahmad Firdaus Ahmad , Amran Tengku Sarah Tengku , Ahmad Mohamad Ridzuan , Elshaikh Mohamed 
Published: June 2021

Abstract
Ground penetrating radar (GPR) is one of the promising non-destructive imaging tools investigations for shallow subsurface exploration such as locating and mapping the buried utilities. In practical applications, GPR images could be noisy due to the system noise, the heterogeneity of the medium, and mutual wave interactions thus, it is a complex task to recognizing the hyperbolic signature of buried objects from GPR images. Therefore, this paper aims to develop nonlinear feature extraction technique of using Empirical Mode Decomposition (EMD) in recognizing the four geometrical shapes (cubic, cylindrical, disc and spherical) from GPR images. A pre-processing step of isolating hyperbolic signature from different background was first employed by mean of Region of Interest (ROI). The hyperbolic signature that describes the shapes was extracted using EMD decomposition to obtain a set of significant features. In this framework, the hyperbolic pattern was decomposed of using EMD, to produce a small set of intrinsic mode functions (IMF) via sifting process. The IMF properties of the signature that exhibit the unique pattern was used as potential features to differentiate the geometrical shapes of buried objects. The extracted IMF features were then fed into machine learning classifier namely Support Vector Machines. To evaluate the effectiveness of the proposed method, a set data collection of GPR-images has been acquired. The experimental results show that the recognition rate of using IMF features was achieved 99.12% accuracy in recognizing the shapes of buried objects whose shows the promising result.
A Potential Controller for Smart Electrical Energy Management System
Authors: Ananda-Rao K. , Ismail M. A. , Rosmi A. S. , Leow W. Z. , Suboh S. M. , Fahmi M. I. , Abdullah A. M. 
Published: June 2021

Abstract
Integrated energy utilization has been recognized as a productive way towards better energy management, besides increasing Renewable Energy (RE) penetration. Thus, the combination of RE integrated with the Battery Energy Storage System (BESS) has been recognized as the primary solution where it is necessary to have a controller to interface the system efficiently. Hence, a smart electrical energy management system controller is designed and developed based on load leveling and peak shaving applications for real-time AC power management in this work. The main function of the controller is to continuously monitor and maintain the load demand and to produce a leveled or shaved load profile that will be seen at the grid network by controlling the battery operation. The testing results concluded that the controller able to perform both the energy applications. Overall, a dual function controller based on energy applications to maintain consumer load demand usage more securely and reliably, so that the utility bill is reduced and the battery lifetime is prolonged simultaneously is achieved in this work.
Low Concentration Vegetable Oil Based Nanofluid : Dielectric properties, AC Breakdown Voltage and Kinematic Viscosity
Authors: Hussin Nuriziani , Subri Nurul Ashikin , Azizie Nurin Ainanie , Khalil Ahmad Nabil Mohd , Jamil Mohamad Kamarol Mohd , Abd-Rahman R. , Arshad Syahrun Nizam Md 
Published: June 2021

Abstract
The transformers oil acts as an insulation as well as cooling liquid of a transformer. It is very important that the transformer oil is maintained so that the oil properties are preserved with time. Petroleum-based mineral oil is widely used as insulation oil in transformer due to its excellent insulating qualities and low cost despite its’ non-biodegradable and hazardous property. This paper seeks to find an alternative of mineral oil by using palm oil based nanofluids at lower concentration values that match the IEC standards for ester oil. The nanoparticles used in this project are zinc oxide (ZnO) and zirconium dioxide (ZrO2). ZnO has conductive nature while ZrO2 on the other hand shows insulative behavior. Three different concentration value were used which were 0.0015 g/L, 0.0025 g/L and 0.005 g/L which had never been reported before. Tests performed on the samples includes AC breakdown, dielectric properties and kinematic viscosity. Research outcome shows an outstanding result at optimum value in improving the measured properties at these low nanofluid concentrations. Reducing the amount of nanoparticles use also means saving cost and providing a more eco-friendly solution.
Effective and Low-Cost Arduino based Dual-Axis Solar Tracker
Authors: Ahmad S , Razali A.N , Misrun M.I 
Published: June 2021

Abstract
This paper presents research on dual-axis solar tracker utilizing solar irradiance most efficiently. The high cost is the main challenge in effectively harnessing solar technology due to the higher cost of materials and equipment for the system since the solar tracking device need more equipment to manage the control system. The objective of this research is to design a dual-axis solar tracker using Arduino as the main component in the control system. In order to maximize the effectiveness of this work, the structure of the tracker is designed to accommodate the solar panels with minimal power consumption and cost. This research is focused on improving the full collection of output power from the solar panel using a tracking system. The experiment shows the performance comparison between the dual-axis solar tracker and a fixed tilted solar panel.
Lightning Strikes Mitigation Plan on Transmission Line Tower at Kedah Paddy Field
Authors: Othman N A , Halim H A , Wooi C L , Amirruddin M , Mukhtar N M 
Published: June 2021

Abstract
This paper presents a mitigation plan for lightning strikes towards the transmission line tower at Kedah paddy field area. The ATP Draw software produces a schematic diagram of an incoming main intake sub-station and a transmission tower struck by lightning. Simulation on multiple soil resistance values and multiple soil conditions are then plot into graphs. A static eliminator reduces the electrostatic force between negatively charged thunder clouds with a positively charged steel transmission tower. It shows that a static eliminator makes the transmission line act invisibly in the lightning pathway. This protection level avoids surge current from transmitting in the transmission line reduces the possibility to damage surge arrestor.
Induction Heating as Cleaner Alternative Approach in Food Processing Industry
Authors: Razak A. Rahim A. , Ibrahim Norlia Mohamad , Rahman A.S.F. , Fayzul M. , Azizan MM , Hashim U , Basir Imirus 
Published: June 2021

Abstract
Food processing of fucuk making from soy milk from conventional method is evaluated as the case study. The cost, time, fuel supply security and environmental issue anticipated within the process had called for a new approach innovation. Electromagnetic induction heating has been distinguished between other technologies for the purpose. The design, test, analysis and field test of the proposed system has been presented in this report. The installed system seems to outfit and satisfy the industry requirements and can be expanded to other food processing field as well. The advantage and limitation are also discussed within the report.
Exploring Standalone Electrodermography for Multiclass VR Emotion Prediction using KNN
Authors: Bulagang A F , Mountstephens J , Teo J 
Published: June 2021

Abstract
The use of Electrodermography (EDG) in emotion classification is emerging in recent studies, however, it is still limited when compared to the use of other physiological signals such as Electroencephalography (EEG) and Electrocardiography (ECG). Galvanic Skin Response (GSR) or EDG can be used in studies relating to the psychophysiological of emotion. This paper presents the result of an experiment conducted using EDG as the main signal for emotion classification with the use of K-Nearest Neighbor (KNN) as the classifier. In the experiment, the EDG data is acquired from 10 subjects while Virtual Reality (VR) headset is used to view 360 degrees video. Python is used as the programming language for the emotion classification with KNN as the classifier to classify intra-subject (individual) and inter-subject (overall) data. The main objective of this paper is to present the result of the experiment when using KNN as the classifier rather than using Support Vector Machine (SVM) which is synonymous with machine learning. The data were then classified into four classes of distinct emotion, inter-subject achieved an accuracy of 54%, while intra-subject classifications, two subjects achieved an accuracy of 96.9%. This result shows that KNN can provide good accuracy for emotion classification using machine learning as an alternative to SVM.