bluuebunny/crossref_metadata_2025 huggingface dataset:
ASSOCIATION THROMBOCYTOPENIAAND ITS CO-RELATION IN CHRONIC LIVER DISEASE PATIENTS IN A TERTIARY CARE HOSPITAL
Authors: Chakraborty Subhashis , Jana Debarshi
Published: January 2022

INTRODUCTION: The prevalence of thrombocytopenia varies according to a number of factors, like patient population and severity of
underlying liver disease.
AIMS AND OBJECTIVES: To determine prevalence of thrombocytopenia in CLD patients and correlation of platelet count with child and pugh
scores.
MATERIALAND METHOD: General Medicine ward and OPD of N.R.S.M.C.H. , Kolkata, All patients admitted with CLD in Medicine ward
and those attending OPD of N.R.S.M.C.H. , Kolkata, One year, 101 (one hundred and one)
CONCLUSION: We found that mean Platelet count was low in Severe Thrombocytopenia which was statistically signicant.
“A STUDY OF ATHEROSCLEROSIS OF RIGHT CORONARY ARTERY AND THORACIC AORTA IN POST MORTEM CASES”
Authors: K Thushara , S Rupashree , P S Chidananda , Babu K Ramesh
Published: January 2022

Background: Atherosclerosis is a chronic disease which primarily affects the intima of large and medium sized muscular arteries, commonly
involving aorta, coronary arteries and cerebral arteries. The contribution of atherosclerosis in morbidity and mortality of young adults is on the rise.
Objective: To demonstrate histopathological spectrum of atherosclerotic lesions in Right Coronary Artery and Thoracic aorta and to compare the
age, gender and BMI variation in prevalence of atherosclerotic lesions. 150 specime Materials And Methods: ns of heart with intact coronary
arteries and thoracic aorta received by Department of pathology, Shimoga Institute of Medical Sciences, Shivamogga. Heart was grossly examined
and sections were taken from Right Coronary Artery and Thoracic Aorta which were processed and stained with Haematoxylin and Eosin.
Microscopically typing of the atherosclerotic lesion was made using American Heart Association classication of atherosclerosis. Of the Results:
150 cases, males 91% and females 9% were affected. Majority of the cases were in the age group of 30-40 years (33.33%) and BMI range of 18.6-
24.9 (72.67%). Commonest type of atherosclerosis in Right coronary artery was type 5 (Fibroatheroma) (25.33%) and in Thoracic aorta was type 3
(Preatheroma) (30%). Grade 1 Luminal narrowing (1-25% obstruction) was most commonly seen in Right coronary Artery (50% cases).
Conclusion: Due to increase in cardiac death rates screening of cardiovascular risk factors, preventive measures, life style modication and having
healthy dietary habits should be implemented early in 3rd decades of young Indians to retard the progression of atherosclerosis.
IS DR YOUTUBE GUIDING OUR PATIENTS WELL ON TOTAL KNEE ARTHROPLASTY? - AN ORTHOPAEDICIAN'S ANALYSIS
Authors: Bansal Sheenam , Juneja Nikhil , Singh Dharam
Published: January 2022

Background: Youtube has a become a popular platform for disseminating health-related information. The objectives of this study was to explore
the educational quality of youtube videos pertaining to total knee arthroplasty.
Material And Methods: Youtube search was done on 12 April 2021 for TKR related videos by using the following search terms total knee
replacement, total knee arthroplasty, TKR, knee replacement. Data from 40 most relevant videos were collected. Quality assessment check list with
the scale of 0-10 points were developed to evaluate the video content. On the basis of this, videos were grouped into poor quality (grade 0-3),
acceptable quality (grade 4-7) and excellent quality (grade 8-10) respectively.
Results: 92.5 % of videos were of poor educational quality (37/40), 7.5% were of acceptable quality (3/40) and none of the video were of excellent
quality. Common missing information included discussion of operative complications and implant duration.
Conclusion: The current study suggests that youtube is a poor education source for patients concerning knee arthroplasty.
RELATIONSHIP OF CARDIOVASCULAR RISK MARKERS IN CHILDREN SGAAND AGA
Authors: Singh Anand Shanker , Radhika G . , Kumar R . Praveen , Singh Ankita , Jana Debarshi
Published: January 2022

INTRODUCTION: Children born preterm usually experience an initial growth restriction, suggested to be caused by the immature organs and an
inadequate nutritional intake.After this initial growth faltering, healthy preterm born children, and especially those born after 32 gestational weeks,
usually fall back to the reference growth curve, following that of term born babies. For children born SGA, 80 % will experience a relative catch-up
growth within the rst 6 months of life.
OBJECTIVE: Role of different risk proles for children being born preterm vs being born SGA and early iron supplementation affect later
cardiovascular risk
RESULT: In Placebo group, 4.6(0.5) patients had Fasting glucose (mmol/L), 2.9(2.3-3.5) patients had Fasting insulin(µU/mL), 0.59(0.4-0.7)
patients had HOMA-IR, 4.5(0.7) patients had Cholesterol(mmol/L), 0.58(0.2) patients had Triglyceride(mmol/L), 2.8(0.6) patients had
LDL(mmol/L), 1.5(0.3) patients had HDL(mmol/L), 0.63(0.4) patients had ApoB(g/L and 0.20(0.1-0.6) patients had hs-CRP(mg/L). In Iron
supplements group, 4.4(0.5) patients had Fasting glucose(mmol/L), 2.7(2.0-3.8) patients had Fasting insulin(µU/mL), 0.54(0.4-0.8) patients had
HOMA-IR, 4.3(0.8) patients had Cholesterol(mmol/L), 0.59(0.3) patients had Triglyceride(mmol/L), 2.8(0.6) patients had LDL(mmol/L),
1.5(0.4) patients had HDL(mmol/L), 0.61(0.3) patients had ApoB(g/Land 0.24(0.2-0.8) patients had hs-CRP(mg/L).
CONCLUSION: This literature showing that there is progression of these risk factors as children enter early adolescence. Further longer
longitudinal studies are needed to elucidate the mechanisms responsible for progression of cardio-metabolic risk factors from infancy to
adolescence in SGAand LGAsubjects.
A CASE REPORT : A CASE OF SUPERIOR MESENTERIC ARTERY SYNDROME
Authors: Santoki Madhav , Amin Alpesh
Published: January 2022

Superior mesenteric artery (SMA) syndrome is an uncommon but well
recognized clinical entity characterized by compression of the third, or
transverse, portion of the duodenum between the aorta and the superior
mesenteric artery. This results in chronic, intermittent, or acute
complete or partial duodenal obstruction. Superior mesenteric artery
syndrome was rst described in 1861 by Von Rokitansky, who
proposed that its cause was obstruction of the third part of the
duodenum as a result of arterio-mesenteric compression. Some studies
report the incidence of superior mesenteric artery syndrome to be 0.1-
0.3%.
COMPARATIVE STUDY OF THE EFFICACY OF TOPICAL LOTEPREDNOL ETABONATE AND FLUOROMETHOLONE IN THE TREATMENT OF VERNAL KERATOCONJUNCTIVITIS : A RANDOMISED CONTROLLED STUDY
Authors: Chaturvedi Nandita , Nidhi Nidhi , Bhattacharya Malobika
Published: January 2022

Introduction:Vernal keratoconjunctivitis(VKC) is a chronic, recurrent, inammatory disease of ocular surface showing seasonal exacerbation,
affecting young children. Topical steroids are the mainstay in the treatment of ocular allergy, but their use should be judicious since they carry
serious side effects . Loteprednol and uorometholone carry better safety prole. Present study was conducted with the aim of comparing the
efcacy of these two widely used steroids.Objectives:To compare total subjective symptom score (TSSS), total objective sign score (TOSS) and
side effects of medications before and after treatment at each visit.Materials & Methods:A prospective randomised controlled study was
performed on 92 patients of VKC over four weeks. Patients were allotted to either of the two arms of treatment (i.e. LP 0.5% or FML 0.1%).
Subjective and objective assessments of the signs and symptoms of VKC were done using standard scoring methodologies at 7, 14, 21 and 28 days
post treatment. The main outcome measure was measured in terms of TSSS and TOSS before and after treatment at each visit. Secondary outcomes
included side effects. Statistical analysis of the data collected was carried out.Results: Loteprednol showed greater reduction in symptoms initially
but by the end of study there was no statistically signicant difference in effect between the two drugs.Conclusions: Final improvement in clinical
features and safety prole, at the end of 4 weeks was similar in eyes treated with either of the two drugs. Hence, both the drugs can be safely used in
the treatment of VKC.
B-SCAN: A SIGNIFICANT TOOL IN EVALUATION OF VARIOUS OCULAR LESIONS AND ITS MERITS OVER CONVENTIONAL OPHTHALMOSCOPIC EXAMINATION
Authors: Shah Akash , Joshi Raj , Rathore Rajesh
Published: January 2022

INTRODUCTION: USG study of 118 patients in the present study highlights the advantages of ocular ultra sonography (B-mode) in the
evaluation of retinal disorders.
AIMS & OBJECTIVES: To evaluate the role of USG in cases with opaque light conducting media where direct vision by ophthalmoscopy is
impossible, trauma where direct ophthalmoscopy is challenging even for experienced clinicians and in orbital diseases and in localization of
intraocular foreign body.
CONCLUSION: Ultrasonographic ndings were well correlated with clinical and operative observations. Sonographic examination
unambiguously deserves foremost position in the algorithm for imaging pathological states of the eyeball.
OLANZAPINE POISONING IN CHILDREN : A CASE SERIES
Authors: Hassan Sajjad Syed Idrees , Satya Sanjay Varma Dandu Venkata
Published: January 2022

Olanzapine is a readily available atypical antipsychotic usually prescribed in adults for psychotic disorders. Olanzapine overdose or poisoning is
rarely seen in children. It is often due to accidental intake of drug and sometimes suicidal.We are reporting two case of olanzapine poisoning in
children presenting with altered sensorium and pinpoint pupils. The mainstay of treatment of olanzapine poisoning is supportive and symptomatic
measures. Both children recovered well and were discharged.
POST-OPERATIVE COMPLICATIONS FOLLOWING ARTHROSCOPIC ACL RECONSTRUCTION USING VARIOUS GRAFTS; A PROSPECTIVE STUDY
Authors: Patel Himanshu , Iqbal Kashif , Chourey Deependra , Kumar Manoj , Pathak Abhishek
Published: January 2022

Anterior cruciate ligament tear is a common occurrence and with advent of arthroscopic ligament reconstruction, the surgery is minimally invasive
with good functional outcomes. The aim of this study is to evaluate the post-operative complications following arthroscopic ACLreconstruction. In
this study we tried to analyse the post-operative complications in patients with arthroscopic ACL reconstructions using various autografts. The
autografts used in this study were Bone patellar tendon bone graft, hamstring graft and peroneus graft. 26 patients were included in the study. 2
patients lost to follow up. The study result comprised of 24 patients. there were 45.8% of the patients who were below the age of 25 years whereas
54.2% patients were older than 25 years. Only 3 females were recruited in the present study, accounting for 12.5% of the total patients of the study.
Majority 87.5% were males. Majority of the recruited patients were having right sided knee injury (54.2%) whereas remaining (45.8%) were
having left sided injury. Majority of the patients were treated using hamstring and peroneus grafts (41.7%). 16.7% patients were treated with BPTB
graft. There were 16.7% patients who developed deep infection after the surgery. Out of these, 30% were with hamstring grafts and 25% were with
BPTB graft. 41.7% patients didn't develop any complications afterwards. 12.5% patients complained of post-operative knee pain. 16.7% patients
reported occurrence of supercial infection. There are no signicant differences among complications for different grafts used in this study. The
study concluded that arthroscopic ACL reconstruction is a safe surgical procedure with no signicant differences for various autograft options in
terms of complications. The study is limited by small sample size and short follow up.
Accurate Direction-of-Arrival Estimation Method based on Space-Time Modulated Metasurface
Authors: Li Mengmeng
Published: January 2022

In this paper, we present a metasurface-based Direction of Arrival (DoA) estimation method that exploits the properties of space-time modulated reflecting metasurfaces to estimate in real-time the impinging angle of an illuminating monochromatic plane wave. The approach makes use of the amplitude unbalance of the received fields at broadside at the frequencies of the two first-order harmonics generated by the interaction between the incident plane wave and the modulated metasurface. Here, we first describe analytically how to generate the desired higher-order harmonics in the reflected spectrum and how to realize the breaking of the spatial symmetry of each order harmonic scattering pattern. Then, the one dimensional (1D) omnidirectional incident angle can be analytically computed using +1st and -1st order harmonics. The approach is also extended to 2D DoA estimation by using two orthogonally arranged 1D DoA modulation arrays. The accuracy of 1D DoA estimation is verified through full-wave numerical simulations. Compared to conventional DoA estimation methods, the proposed approach simplifies the computation and hardware complexity, ensuring at the same time estimation accuracy. The proposed method may have potential applications in wireless communications, target recognition, and identification.
Deep learning for enhancing multi-source reverse time migration
Authors: Li Yaxing , Jia Xiaofeng , Wu Xinming , Geng Zhicheng
Published: January 2022

Reverse
time migration (RTM) is a technique used to obtain high-resolution images of
underground reflectors; however, this method is computationally intensive when
dealing with large amounts of seismic data. Multi-source RTM can significantly
reduce the computational cost by processing multiple shots simultaneously.
However, multi-source-based methods frequently result in crosstalk artifacts in
the migrated images, causing serious interference in the imaging signals.
Plane-wave migration, as a mainstream multi-source method, can yield migrated
images with plane waves in different angles by implementing phase encoding of
the source and receiver wavefields; however, this method frequently requires a
trade-off between computational efficiency and imaging quality. We propose a
method based on deep learning for removing crosstalk artifacts and enhancing
the image quality of plane-wave migration images. We designed a convolutional
neural network that accepts an input of seven plane-wave images at different
angles and outputs a clear and enhanced image. We built 505 1024×256 velocity
models, and employed each of them using plane-wave migration to produce raw images at 0°, ±20°, ±40°, and ±60° as input of the
network. Labels are high-resolution images computed from the corresponding
reflectivity models by convolving with a Ricker wavelet. Random sub-images with
a size of 512×128 were used for training the network. Numerical examples
demonstrated the effectiveness of the trained network in crosstalk removal and
imaging enhancement. The proposed method is superior to both the conventional
RTM and plane-wave RTM (PWRTM) in imaging resolution. Moreover, the proposed
method requires only seven migrations, significantly improving the
computational efficiency. In the numerical examples, the processing time
required by our method was approximately 1.6% and 10% of that required by RTM
and PWRTM, respectively.
Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals
Authors: Kato Junya , Tanaka Gouhei , Nakane Ryosho , Hirose Akira
Published: January 2022

We propose reconstructive reservoir computing
(RRC) for anomaly detection working for time-series signals. This
paper investigates its fundamental properties with experiments
employing echo state networks (ESNs). The RRC model is a
reconstructor to replicate a normal input time-series signal with
no delay or a certain delay (delay ≥ 0). In its anomaly detection
process, we evaluate instantaneous reconstruction error defined
as the difference between input and output signals at each time.
Experiments with a sound dataset from industrial machines
demonstrate that the error is low for normal signals while it
becomes higher for abnormal ones, showing successful anomaly
detection. It is notable that the RRC models’ behavior is very
different from that of conventional anomaly detection models,
that is, those based on forecasting (delay < 0). The error of
the proposed reconstructor is explicitly lower than that of a
forecaster, resulting in superior distinction between normal and
abnormal states. We show that the RRC model is effective over
a large range of reservoir parameters. We also illustrate the
distribution of the output weights optimized through a training
to discuss their roles in the reconstruction. Then, we investigate
the influence of the neuronal leaking rate and the delay time shift amount on the transient response and the reconstruction
error, showing high effectiveness of the reconstructor in anomaly
detection. The proposed RRC will play a significant role for
anomaly detection in the present and future sensor network
society
An Interaction Less Duo Control Strategy for Bi-polar Voltage Source Converter in Renewables Integrated Multi-Terminal HVDC (MTDC) Grids
Authors: Ancha Satish Kumar
Published: January 2022

The PVF or PV2F double droop control is commended for its ability to regulate both the dc voltage and frequency in a decentralized approach. However, a convincing response is not achieved due to an interaction between the droop characteristics of dc voltage and frequency. This interaction affects the dc voltage and frequency support of the AC system surrounded Multi-Terminal HVDC (AC-MTDC) grid. To overcome this effect, a Duo control strategy is proposed in this paper, which takes advantage of a Bi-polar Voltage Source Converter (B-VSC) topology in the MTDC grid. The virtue of proposed control technique is emphasized by comparing it with the existing $ PV2F double droop control along with three case studies and two test systems. The validation of interaction less Duo control strategy is carried out on five terminal CIGRE DC grid benchmark model integrated into two area power system (AC-MTDC grid-1) and New England IEEE 39 bus system (AC-MTDC grid-2). These test systems are simulated in PSCAD/EMTDC software.
Control Strategies for the Third wave of COVID-19 infection in India: A Mathematical Model Incorporating Vaccine Effectiveness
Authors: Mahajan Ashutosh , Sivadas Namitha , Panda Pooja
Published: January 2022

The waning effectiveness of the COVID-19 vaccines and the emergence of a new variant Omicron has given rise to the possibility of another outbreak of the infection in India. COVID-19 has caused more than 34 million reported cases and 475 thousand deaths in India so far, and it has affected the country at the root level, socially as well as economically. After going through different control measures, mass vaccination has been achieved to a large extent for the highly populous country, and currently under progress. India has already been hit by a massive second wave of infection in April-June, 2021 mainly due to the delta variant, and might see a third wave in the near future that needs to be controlled with effective control strategies. In this paper, we present a compartmental epidemiological model with vaccinations incorporating the dose-dependent effectiveness. We study a possible sudden outbreak of SARS-CoV2 variants in the future, and bring out the associated predictions for various vaccination rates and point out optimum control measures. Our results show that for transmission rate 30% higher than the current rate due to emergence of new variant or relaxation of social distancing conditions, daily new cases can peak to 250k in March 2022, taking the second dose effectiveness dropping to 50% in the future. A combination of vaccination and controlled lockdown or social distancing is the key to tackling the current situation and for the coming few months. Our simulation results show that social distancing measures show better control over the disease spread than the higher vaccination rates.
Deep Learning Based Predictive Compensation of Flicker, Voltage Dips, Harmonics and Interharmonics in Electric Arc Furnaces
Authors: Balouji Ebrahim
Published: January 2022

In this research work, deep machine learning based
methods together with a novel data augmentation are developed
for predicting flicker, voltage dip, harmonics and interharmonics
originating from highly time-varying electric arc furnace (EAF)
currents and voltage. The aim with the prediction is to counteract
both the response and reaction time delays of active power filters
(APFs) specifically designed for electric arc furnaces (EAF).
Multiple synchronous Reference frame (MSRF) analysis is used
to decompose the frequency components of the EAF current
and voltage waveforms into dqo components. Then using low-
pass filters and prediction of the future values of these dqo
components, reference signals for APFs are generated. Three
different methods have been developed. In two of them, a low-
pass Butterworth filter is used together with a linear FIR based
prediction or long short-term memory network (LSTM) for
prediction. In the third method, a deep convolutional neural
network (CNN) combined with a LSTM network is used to
filter and predict at the same time. For a 40 ms prediction
horizon, the proposed methods provide 2.06%, 0.31%, 0.99%
prediction errors of the dqo components for the Butterworth and
linear prediction, Butterworth and LSTM and CNN with LSTM,
respectively. The error of the predicted reconstructed waveforms
of flicker, harmonics, and interharmonics resulted in 8.5%,
1.90%, and 3.2% reconstruction errors for the above-mentioned
methods. Finally, a Simulink and GPU based implementation of
predictive APF using Butterworth filter + LSTM and a trivial
APF resulted 96% and 60% efficiency on compensation of EAF
current interharmonics.
Necessary and Sufficient Dissipativity-Based Conditions for Feedback Stabilization
Authors: Madeira Diego
Published: January 2022

Using the notion of exponential QSR-dissipativity, this work presents necessary and sufficient conditions for exponential stabilizability of nonlinear systems by linear static output feedback (SOF). It is shown that, under mild assumptions, the exponential stabilization of the closed-loop system around the origin is equivalent to the exponential QSR-dissipativity of the plant. Furthermore, whereas strict QSR-dissipativity is only sufficient for SOF asymptotic stabilization, it is proved to be necessary and sufficient for full state feedback control. New necessary and sufficient conditions for SOF stabilizability of linear systems are presented as well, along with a linear and noniterative semidefinite strategy for controller design. Necessary linear matrix inequality (LMI) conditions for stabilization are also introduced. Some examples illustrate the usefulness of the proposed approach.
A PSF Approach to Far Field Discretization for Conformal Sources
Authors: Pierri Rocco , Leone Giovanni , Munno Fortuna , Solimene Raffaele
Published: January 2022

In this paper we introduce a sampling scheme based on the application of an inverse source problem approach to the far field radiated by a conformal current source. The regularized solution of the problem requires the computation of the Singular Value Decomposition (SVD) of the relevant linear operator, leading to introduce the Point Spread Function in the observation domain, which can be related to the capability of the source to radiate a focusing beam. Then, the application of the Kramer generalized sampling theorem allows introducing a non-uniform discretization of the angular observation domain, tailored to each source geometry. The nearly optimal property of the scheme is compared with the best approximation achievable under a regularized inversion of the pertinent SVD. Numerical results for different two-dimensional curve sources show the effectiveness of the approach with respect to standard sampling approaches with uniform spacing, since it allows to reduce the number of sampling points of the far field.
Enabling User Relaying In MCM-NOMA Under Doubly Selective Channels Using Iterative Interference Cancellation Schemes For Wireless IoT Networks
Authors: Hamza Anis Amazigh , Dayoub Iyad , Alouani Ihsen , Amrouche Abderrahmane
Published: January 2022

Cell-edge users of the future cellular internet of things (IoT) with massive IoT sensors can suffer from extremely severe channel conditions, especially under very high-speed scenarios. In this paper, we present a performance improvement method for cell-edge users of multi-carrier modulation (MCM)-based non-orthogonal multiple access (NOMA) downlink systems. To this end, we consider the implementation of cooperative user relaying NOMA (CUR-NOMA) and derive its lower bound end-to-end bit error rate (E2E-BER) under doubly selective channels. In addition, the imperfect successive interference cancellation (SIC) process is analyzed, wherein two interference cancellation schemes are combined to remove the NOMA induced inter-user interference (IUI) and the doubly selective channel induced inter-carrier interference (ICI). Furthermore, numerical simulations are performed to prove the efficiency of the introduced schemes with imperfect channel state information (CSI) when compared to the theoretical perfect SIC with a perfect CSI case.
SCL-SSC: Supervised Contrastive Learning for Sleep Stage Classification
Authors: Kumar Chandra Bhushan
Published: January 2022

In this study, we have proposed SCL-SSC(Supervised Contrastive Learning for Sleep Stage Classification), a deep learning-based framework for sleep stage classification which performs the task in two stages, 1) feature representation learning, and 2) classification. The feature learner is trained separately to represent the raw EEG signals in the feature space such that the distance between the embedding of EEG signals of the same sleep stage has less than the distance between the embedding of EEG signals of different sleep stages in the euclidean space. On top of feature learners, we have trained the classifier to perform the classification task. The distribution of sleep stages is not uniform in the PSG data, wake(W) and N2 sleep stages appear more frequently than the other sleep stages, which leads to an imbalance dataset problem. This paper addresses this issue by using weighted softmax cross-entropy loss function and also dataset oversampling technique utilized to produce synthetic data points for minority sleep stages for approximately balancing the number of sleep stages in the training dataset. The performance of our proposed model is evaluated on the publicly available Physionet datasets EDF-Sleep 2013 and 2018 versions. We have trained and evaluated our model on two EEG channels (Fpz-Cz and Pz-Oz) on these datasets separately. The evaluation result shows that the performance of SCL-SSC is the best annotation performance compared to the existing state-of art deep learning algorithms to our best of knowledge, with an overall accuracy of 94.1071% with a macro F1 score of 92.6416 and Cohen’s Kappa coefficient(κ) 0.9197. Our ablation studies on SCL-SSC shows that both triplet loss based pre-training of feature learner and oversampling of minority classes are contributing to better performance of the model(SCL-SSC).
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges
Authors: Jagannath Jithin , Jagannath Anu , Kumar Prem Sagar Pattanshetty Vasanth
Published: January 2022

Fifth generation (5G) networks and beyond envisions massive Internet of Things (IoT) rollout to support disruptive applications such as extended reality (XR), augmented/virtual reality (AR/VR), industrial automation, autonomous driving, and smart everything which brings together massive and diverse IoT devices occupying the radio frequency (RF) spectrum. Along with spectrum crunch and throughput challenges, such a massive scale of wireless devices exposes unprecedented threat surfaces. RF fingerprinting is heralded as a candidate technology that can be combined with cryptographic and zero-trust security measures to ensure data privacy, confidentiality, and integrity in wireless networks. Motivated by the relevance of this subject in the future communication networks, in this work, we present a comprehensive survey of RF fingerprinting approaches ranging from a traditional view to the most recent deep learning (DL) based algorithms. Existing surveys have mostly focused on a constrained presentation of the wireless fingerprinting approaches, however, many aspects remain untold. In this work, however, we mitigate this by addressing every aspect - background on signal intelligence (SIGINT), applications, relevant DL algorithms, systematic literature review of RF fingerprinting techniques spanning the past two decades, discussion on datasets, and potential research avenues - necessary to elucidate this topic to the reader in an encyclopedic manner.
Raking and Relabeling for Imbalanced Data
Authors: Park Seunghwan , Lee Hae-Hwan , Im Jongho
Published: January 2022

We consider the binary classification of imbalanced data. A dataset is imbalanced if the proportion of classes are heavily skewed. Imbalanced data classification is often challengeable, especially for high-dimensional data, because unequal classes deteriorate classifier performance. Under sampling the majority class or oversampling the minority class are popular methods to construct balanced samples, facilitating classification performance improvement. However, many existing sampling methods cannot be easily extended to high-dimensional data and mixed data, including categorical variables, because they often require approximating the attribute distributions, which becomes another critical issue. In this paper, we propose a new sampling strategy employing raking and relabeling procedures, such that the attribute values of the majority class are imputed for the values of the minority class in the construction of balanced samples. The proposed algorithms produce comparable performance as existing popular methods but are more flexible regarding the data shape and attribute size. The sampling algorithm is attractive in practice, considering that it does not require density estimation for synthetic data generation in oversampling and is not bothered by mixed-type variables. In addition, the proposed sampling strategy is robust to classifiers in the sense that classification performance is not sensitive to choosing the classifiers.
Raking and Relabeling for Imbalanced Data
Authors: Park Seunghwan , Lee Hae-Wwan , Im Jongho
Published: January 2022

We consider the binary classification of imbalanced data. A dataset is imbalanced if the proportion of classes are heavily skewed. Imbalanced data classification is often challengeable, especially for high-dimensional data, because unequal classes deteriorate classifier performance. Under sampling the majority class or oversampling the minority class are popular methods to construct balanced samples, facilitating classification performance improvement. However, many existing sampling methods cannot be easily extended to high-dimensional data and mixed data, including categorical variables, because they often require approximating the attribute distributions, which becomes another critical issue. In this paper, we propose a new sampling strategy employing raking and relabeling procedures, such that the attribute values of the majority class are imputed for the values of the minority class in the construction of balanced samples. The proposed algorithms produce comparable performance as existing popular methods but are more flexible regarding the data shape and attribute size. The sampling algorithm is attractive in practice, considering that it does not require density estimation for synthetic data generation in oversampling and is not bothered by mixed-type variables. In addition, the proposed sampling strategy is robust to classifiers in the sense that classification performance is not sensitive to choosing the classifiers.
Estratégia pico para evidências científicas: impacto na qualidade de vida do paciente hemodialítico
Authors: Fonseca Coelho Galvão Ana Patrícia , Tiffany Camara Cerqueira Lorena , Bruna Arruda Aragão Francisca , Valichelli Matos Martinelli Caroline , Leonardo Nogueira da Silva Patrick , Melo Santos Nailde
Published: January 2022

Objetivo: identificar o impacto científico da Estratégia PICO (Population, Intervention, Comparison, Outcomes) naqualidade de vida de pacientes hemodialíticos. Método: trata-se de uma revisão integrativa realizada no PubMed, MeSH eCochrane Library cuja amostra foi composta por 13 artigos. A coleta dos dados foi realizada durante o período de maio a agostode 2021. Resultados: verificou-se que a qualidade de vida do paciente hemodialítico é prejudicada em diversos segmentos, sendoos principais: redução da capacidade funcional; incapacidade de ser independente, de forma pessoal e profissional; e o impactona saúde mental, em decorrencia das alterações cotidianas que o tratamento exige em seu dia-a-dia. Conclusão: Em todos osestudos, a qualidade de vida e psíquica do paciente hemodialítico encontra-se prejudicada e associada a fatores negativos.
Implementing virtual reality - building information modeling in the construction management curriculum
Authors: Ghanem Sahar Y.
Published: January 2022

As the industry transitions towards incorporating BIM in construction projects, adequately qualified students and specialists are essential to this transition. It became apparent that construction management programs required integrating Building Information Modeling (BIM) into the curriculum. By bringing Virtual Reality (VR) technology to BIM, VR-BIM would transform the architectural, engineering, and construction (AEC) industry, and three-dimensional (3D) immersive learning can be a valuable platform to enhance students' ability to recognize a variety of building principles. The study carries out a methodology for implementing the VR-BIM in the construction management undergraduate program. Based on the previous literature review, in-depth analysis of the program, and accreditation requirements, VR-BIM will be implemented throughout the curriculum by combining stand-alone class and integration in the existing courses method. The challenges that may face the program planning to implement VR-BIM are discussed, and few solutions are proposed. The lab classroom layout appropriate for the applications is designed to be adjusted for several layouts to accommodate all learning styles and objectives. A comparison between different Head-Mounted Display (HMD) headsets is carried out to choose the appropriate equipment for the lab.
Pemberdayaan Masyarakat dalam Penanganan Pandemic Covid-19 Melalui Penerapan Alat Respira PAPR
Authors: Irawan Andi Muh Asrul , Yusuf A Mukramin , Giovani Sarah , Sasaerila Hidayat Yorianta , Pratama Ahmad Juang , Aribowo Budi , Nurlatifa Hanny
Published: January 2022

Masker yang tersedia dan digunakan oleh tenaga kesehatan saat ini harus dipakai berlapis- lapis dan membuat tidak nyaman bila dipakai dalam waktu yang lama, dengan permasalahan tersebut maka diperlukan alat perlindungan diri (APD) yang aman sekaligus nyaman digunakan. Berdasarkan hasil diskusi diketahui permasalahan mitra adalah kurangnya APD khusus bagi dokter dan tenaga kesehatan lainnya yang secara langsung menangani pasien Covid 19 dan sebagian besar menggunakan masker sekali pakai, serta kurangnya APD yang memadai dan nyaman bagi dokter atau perawat yang berusia lanjut, yang terpaksa berhenti melakukan layanan karena kurangnya peralatan pelindung diri. Solusi yang diberikan Universitas Al Azhar Indonesia adalah membuat dan mendistribusikan alat APD yang dapat mengurangi penggunaan masker sekali pakai, dan alat yang dibuat dan didistribusikan harus memiliki kenyamanan dan keamanan yang baik terutama pada tenaga kesehatan yang berusia lanjut. Program ini meliputi persiapan alat, pendistribusian dan evaluasi. Hasil dari solusi yang di berikan adalah Universitas Al Azhar telah mengembangkan produk dari hasil penelitian yaitu “Respira PAPR V.1” untuk mengurangi penggunaan masker sekali pakai pada tenaga kesehatan di rumah sakit dan instansi Mitra. Berdasarkan hasil evaluasi, produk ini memberikan rasa aman dan nyaman pada penggunanya terutama pada tenaga kesehatan yang berusia lanjut hal ini. Jumlah Produk PAPR yang didistribusikan sebanyak 30 unit di enam rumah sakit dan instansi kesehatan. Secara umum produk “Respira PAPR V.1” dapat diterima oleh mitra dan dapat dimanfaatkan mitra dalam pelayanan kesehatan. Saran untuk program selanjutnya adalah produk “Respira PAPR V.1” ini dapat dikembangkan untuk meningkatkan kenyamanan penggunaan terutama pada desain dan fitur-fitur.

Kata kunci: APD, PAPR, Produk, Rumah sakit, Masker
Pemberdayaan Masyarakat dalam Pengolahan Limbah Cair Produksi Tempe di Kampung Tempe Kota Tangerang
Authors: Perdana Analekta Tiara , Widiawati Dina
Published: January 2022

Perkembangan industri tempe di Kota Tangerang didukung oleh salah satu sentra industri tempe yaitu Kampung Tempe, Koang Jaya, Karawaci, Tangerang, Banten. Industri tempe pada dasarnya akan menghasilkan limbah, baik berupa limbah cair maupun limbah padat yang berpotensi menimbulkan pencemaran lingkungan. Limbah padat hasil produksi tempe dapat dimanfaatkan sebagai pakan ternak, sedangkan limbah cair hasil produksi tempe langsung dibuang ke lingkungan tanpa dilakukan pengolahan terlebih dahulu. Limbah cair hasil produksi tempe di Kampung Tempe Kota Tangerang diperkirakan mencapai 500-2000 L per hari. Oleh karena itu perlu dilakukan pengolahan limbah cair hasil produksi tempe, salah satunya menjadi pupuk organik cair (POC). Kegiatan ini bertujuan untuk melakukan pemberdayaan masyarakat terkait pengolahan limbah cair hasil produksi tempe menjadi POC. Tahapan pemberdayaan masyarakat meliputi persiapan serta pelaksanaan kegiatan melalui sosialisasi dan edukasi. Hasil dari kegiatan ini menunjukkan peningkatan pengetahuan dan keterampilan dalam mengolah limbah cair hasil produksi tempe menjadi POC sejumlah 90 %, serta pengurangan jumlah limbah cair hasil produksi tempe yang diolah menjadi POC sejumlah 5 %. Pengolahan limbah cair hasil produksi tempe diharapkan dapat dilakukan terus menerus untuk mengurangi pencemaran lingkungan. 

Kata kunci: Industri, Kampung Tempe, Limbah Cair, POC, Tempe.
PENGARUH BIMBINGAN KELOMPOK MELALUI ZOOM MEETING DENGAN TEKNIK JOHARI WINDOW TERHADAP PENINGKATKAN PENERIMAAN DIRI SISWA
Authors: Afny Rumaysya Khulwah  , Mugiarso Heru
Published: January 2022

Tujuan penelitian ini yaitu untuk mengetahui pengaruh layanan bimbingan kelompok melalui zoom meeting dengan teknik johari window terhadap tingkat penerimaan diri siswa. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian eksperimen dengan desain one group pretest-posttest. Teknik pengambilan subjek penelitian yang digunakan adalah purposive sampling sejumlah 8 siswa. Alat pengumpul data yang digunakan dalam penelitian ini yaitu skala penerimaan diri sebanyak 4 indikator dan 52 item. Validitas diuji menggunakan rumus product moment dan dengan koefesien reliabilitas 0,312. Teknik analisis data yang digunakan adalah analisis deskripstif dan analisis uji Wilcoxon. Berdasarkan hasil uji Wilcoxon (Z=-2.521, p?0,05) hal ini menunjukkan bahwa layanan bimbingan kelompok melalui zoom meeting dengan teknik johari window berpengaruh pada peningkatan penerimaan diri siswa.
Percepción de los estilos de crianza y felicidad en adolescentes y jóvenes de Lima Metropolitana
Authors: Caycho Rodríguez Tomás , Contreras Paredes Kelly , Merino Soto César
Published: January 2022

El presente estudio tiene por objetivo determinar la relación entre la percepción de estilos de crianza y la felicidad en una muestra de 102 adolescentes y jóvenes de Lima Metropolitana, 64 mujeres y 38 varones con edades entre 17 y 28 años. El diseño de la investigación es correlacional y predictivo. Se emplearon como instrumentos de recojo de información la Escala de Crianza Percibida «Mis recuerdos de la infancia» (Forma Corta) y la Escala de Felicidad de Lima. Los resultados permiten concluir que existen correlaciones significativas entre las dimensiones de la percepción de estilos de crianza y felicidad en la muestra estudiada. Para determinar cuál o cuáles de las dimensiones de la percepción de estilos de crianza predicen mejor la felicidad, se ha realizado un análisis de regresión múltiple, identificando que la variable Rechazo-padre y Calidez Emocional-Madre explican el 23 % de la varianza total de la variable Felicidad.
Matrimonio e identidad
Authors: Tollefsen Christopher
Published: January 2022

Este artículo plantea y responde cuatro preguntas sobre el matrimonio. Primero, ¿qué es el matrimonio? Segundo, ¿qué sucede con un hombre y una mujer cuando se casan? Tercero, ¿qué tipo de características deben tener los cónyuges que buscan casarse? Y, por último, ¿qué papel debe jugar el Estado en el apoyo al matrimonio?
Evidencias preliminares de validez de contenido, validez convergente y confiabilidad del Ítem Único de Satisfacción con la vida familiar (IUSWFL) en adolescentes limeños
Authors: Caycho-Rodríguez Tomás , Cuellar-Llata Marilyn J. , Carranza Esteban Renzo Felipe , Cabrera-Orosco Isabel , Franco-Reynoso Valeria G. , Casariego-Oviedo Jennifer D. , Mendives-Delgado Melanie , Rojas-Ayala Lisseth , Torrejón-Pinedo Fiorella A.
Published: January 2022

El estudio examinÓ las evidencias de validez de contenido, validez convergente y confiabilidad de una medida de ítem único de satisfacción con la vida familiar (IUSWFL). Los participantes fueron 509 adolescentes, hombres y mujeres, entre 10 y 17 años (M = 13-31 años; DE — 1.6) de la ciudad de Lima. Se utilizó la Satisfaction with Family Life Scale (SWFL), el cuestionario APGAR Familiar y el IUSWFL. Para las evidencias de validez de contenido se utilizó el método de jueces expertos cuantificando sus valoraciones con la V de Aiken. La validez convergente se realizó a partir de un análisis comparativo con el ANOVA de una vía, así como un análisis de correlación con el coeficiente de Pearson. La confiabilidad fue analizada con el coeficiente alfa con el cálculo de sus intervalos de confianza. Los resultados sugieren evidencias iniciales de validez de contenido ( V > .70) y validez convergente. Se observan promedios ascendentes en funcionalidad familiar y satisfacción con la vida familiar a medida que los grupos, originados en función de las alternativas de

respuesta del IUSWFL, expresen un mayor gradO de acuerdo. El I USWFL se asoció positivamente con la SWFL. Los valores de los coeficientes de confiabilidad fueron adecuados. Se concluye que el IUSWFL cuenta con evidencias de validez de contenido, validez convergente y confiabilidad para ser utilizado como una med ida breve de la SWFL.

Palabras clave: confiabilidad, medida de item único, satisfacción con la Vida familiar, validez convergente, validez de contenido.
Libertad moral: consecuencia del desarrollo de virtudes
Authors: Diez Canseco Briceño María L.
Published: January 2022

El presente trabajo propone que la liberad humana es posible de ser educada por medio de la forja y desarrollo de virtudes morales. La premisa en la que se basa este planteamiento es que una auténtica libertad en el ser humano es la que responde a su misma naturaleza y a la verdad de las cosas. Esto será posible por medio del ejercicio de las virtudes morales, las cuales pueden y deben ser educadas, especialmente, en la familia, lugar por excelencia para que la persona humana alcance su mayor despliegue. A partir de la revisión bibliográfica, se puede concluir que la forja de hábitos virtuosos llevada a cabo desde edades tempranas posibilita que la persona alcance un conocimiento y gobierno personal que le permita hacer un ejercicio de su libertad que lo lleve al bien.
Factors Influencing Competition in the Maize Milling Sector in South Africa
Authors: Mtisi H. A. , Govender K. K.
Published: January 2022

Although the maize milling industry in South Africa is highly attractive and profitable, new entrants are unsuccessful. Thus, understanding the factors influencing competition is important for developing strategies which can help new entrants to be more resilient and also succeed. A case study of a very successful organization in the industry was conducted using Porters five forces model, to explore the factors influencing competition in the industry. The selected organization employs a differentiation strategy which enables it to constantly improve and introduce new maize meal varieties to serve a wide range of customers. The findings revealed that the selected organization employs resources, capabilities and knowledge in its business processes to sustain its competitive advantage. Thus, it is recommended that firms entering this industry should harmonize internal resources, knowledge, capabilities and external forces to generate a competitive advantage.

 

 Received: 18 November 2021 / Accepted: 30 December 2021 / Published: 5 January 2022
Impact of SARS-COV-2 on the diagnosis of community bacteremia in a tertiary hospital
Authors: Mormeneo Bayo Saray , Moreno Hijazo Miguel , Palacián Ruíz, María Pilar , Villuendas Usón María Cruz
Published: January 2022

Objective. We carry out an analysis of the bacteremia diagnosed in the Emergency Department during 2020, coinciding with the period of the pandemic. Method. We performed a retrospective analysis from March 4, 2020 to December 31, 2020. Results. The number of patients who went to the Emergency Department during the study period and the number of extracted blood cultures decreased by 46.79% and 35.7% compared to the same period in 2019 (p <0.05). 320 bacteremia occurred while 507 occurred in 2019, assuming a decrease of 36.8% (p <0.05). The positivity rate of blood cultures was 7.09% in 2020 and 7.23% in 2019 and the contamination rate was 7.07 % in 2020 and 5.67% in 2019. The most frequently isolated microorganism was Escherichia coli, followed by Staphylococcus aureus and Klebsiella pneumoniae. A 6.62% of the isolated E. coli were carriers of extended-spectrum beta-lactamases (ESBL). The percentage of methicillin-resistant S. aureus was 12.9 % and that of K. pneumoniae ESBL was 11.54%. Conclusion. During the SARS-CoV-2 pandemic there has been a decrease in the number of bacteremia diagnoses, it is possible that attention was focused especially on COVID, forgetting other diseases, such as bacteremia.
Knowledge of Greek and Latin Roots is Related to Reading Comprehension among French-Speaking Sixth Graders
Authors: Whissell-Turner Kathleen , Fejzo Anila
Published: January 2022

By the end of primary school, students are confronted with expository texts known for their high proportion of domain-specific academic vocabulary words. These words usually comprise Greek or Latin roots in their internal structure. Recent findings showed that knowledge of Greek and Latin roots is related to reading comprehension. However, no study has investigated such a relationship in a francophone context. Therefore, the present study sought to measure Greek and Latin roots’ relation to reading comprehension among French 6th graders. To do so, 40 participants were administrated an experimental task on Greek and Latin roots knowledge and a reading comprehension standardized subset test. Variables related to reading comprehension, such as morphological awareness, vocabulary breadth, word reading fluency, oral comprehension, and working memory were also measured. Results showed that knowledge of Greek and Latin roots significantly predicted variation of reading comprehension. This paper discusses scientific and educational implications of this finding.
Virtual Three-phase Laboratory Exercise During Pandemic Situation
Authors: Himmelstoss Felix A. , Edelmoser Karl
Published: January 2022

The Corona pandemic has changed our way to teach, even our laboratory experiments. The exercises for the three-phase systems had to be transferred to the web. The virtual exercises are described and the results are shown. The pros and contras of this way to teach are discussed.