bluuebunny/crossref_metadata_2025 huggingface dataset:
Blockchain-Based E-Medical Record and Data Security Service Management Based on IoMT Resource
Authors: Alsudani Mustafa Qahtan , Jaber Mustafa Musa , Malik R. Q. , Abd Sura Khalil , Ali Mohammed Hasan , Alkhayyat Ahmed , Khalaf G. A.
Published: March 2023

Electronic health records are essential and sensitive since they include vital information and are routinely exchanged across several parties, such as hospitals and private clinics. These data must remain accurate, current, secret, and available only to authorized parties. Integrating these data improves the accuracy and cost-effectiveness of the present health data administration framework. Electronic Medical Records (EMRs) are now kept utilizing the structure of the client/server via whom patient data information is maintained in the hospital. Multiple hospitals use the same database to track a single patient. These limitations prevent a custom health system from providing various associated experts and patients with a cohesive, integrated, secure, and confidential medical history. Modern healthcare systems are distinguished by their complexity and expense. However, this may be mitigated by enhanced health record management and Blockchain technology. The Blockchain’s data availability, confidence, and security characteristics have a bright future in healthcare services, giving solutions to the issues of the traditional customer/server architecture EMR management platform: intricacy, confidence, dependability, compatibility, and anonymity. An e-health record management based on Internet of Medical Things (EHRM-IoMT) is proposed in this paper. This paper explores and analyzes Blockchain efficiency and customer/server paradigms. The findings show that a patient-centred strategy may achieve remarkable success utilizing Blockchain. Moreover, the immutable and accurate data of persons in Blockchain may enable healthcare practitioners to better forecast and aid with diagnosis utilizing the IoMT via machine learning and artificial intelligence.
Folded ribbonlength of 2-bridge knots
Authors: Kim Hyoungjun , No Sungjong , Yoo Hyungkee
Published: March 2023

A ribbon is a two-dimensional object with one-dimensional properties, which is related with geometry, robotics and molecular biology. A folded ribbon structure provides a complex structure through a series of folds. We focus on a folded ribbon with knotted core. The folded ribbonlength [Formula: see text] of a knot [Formula: see text] is the infimum of the quotient of the length by the width among the ribbons representing a knot type of [Formula: see text]. This quantity tells how efficiently the folded ribbon is realized. Kusner conjectured that folded ribbonlength is bounded above by a linear function of the minimal crossing number [Formula: see text]. In this paper, we confirm that the folded ribbonlength of a 2-bridge knot [Formula: see text] is bounded above by [Formula: see text].
Effect of relativistic acceleration on tripartite entanglement of Gaussian states
Authors: Szypulski Jan A. , Grochowski Piotr T. , Dȩbski Kacper , Dragan Andrzej
Published: March 2023

The performance of quantum information protocols can be impacted by the noninertial motion of parties such as in a gravitational field. Previous studies have primarily focused on the degradation of entanglement for global modes, revealing that bipartite entanglement vanishes in the limit of large acceleration, whereas tripartite entanglement does not. In this study, we examine the impact of acceleration on tripartite Gaussian resource states encoded in spatially localized wave packets. Contrarily to prior findings, we observe that genuine tripartite entanglement (GTE) vanishes in the limit of large acceleration for various initial states and observer trajectories.
Swampland criteria and constraints on inflation in a f(R,T) gravity theory
Authors: Oikonomou V. K. , Revis Konstantinos-Rafail , Papadimitriou Ilias C. , Pegioudi Maria-Myrto
Published: March 2023

In this paper, we worked in the framework of an inflationary [Formula: see text] theory in the presence of a canonical scalar field. More specifically, the [Formula: see text] gravity. The values of the dimensionless parameters [Formula: see text] and [Formula: see text] are taken to be [Formula: see text] and [Formula: see text]. The motivation for this study was the striking similarities between the slow-roll parameters of the inflationary model used in this work and the ones obtained by the rescaled Einstein–Hilbert gravity inflation [Formula: see text]. We examined a variety of potentials to determine if they agree with the current Planck Constraints. In addition, we checked whether these models satisfy the Swampland Criteria and we specified the exact region of the parameter space that produces viable results for each model. As we mention in Sec. 4, the inflationary [Formula: see text] theory used in this work cannot produce a positive [Formula: see text] which implies that the stochastic gravitational wave background will not be detectable.
Reheating constraints in modified natural inflation with the decaying inflaton
Authors: Yusmantoro  , Achmad Arifin , Julianto Rian
Published: March 2023

This research investigates the reheating constraints in two modified natural inflation models. The models are Special Generalized Natural Inflation (SNI) model and the Natural Inflation Inspired (NII) model. In this paper, we consider the decaying inflaton into radiation, which leads to an time-dependent effective Equation-of-State (EoS) parameter. We assume that the decay rate of inflaton takes the form of a linear function of the Hubble rate [Formula: see text]. We derive analytic solutions to the conservation equations to obtain the allowed range values of parameter [Formula: see text]. Reheating constraints and their prediction for inflationary models have been investigated. We also plot the results in the case of the constant EoS parameter for comparison. We find that the time-dependent EoS parameter gives the models more precise constraints. We can conclude that it has a significant effect on reheating constraints.
A necessary and sufficient condition for the existence of nontrivial Sn-invariants in the splitting algebra
Authors: Schlegel Kevin
Published: March 2023

For a monic polynomial [Formula: see text] over a commutative, unitary ring [Formula: see text] the splitting algebra [Formula: see text] is the universal [Formula: see text]-algebra such that [Formula: see text] splits in [Formula: see text]. The symmetric group acts on the splitting algebra by permuting the roots of [Formula: see text]. It is known that if the intersection of the annihilators of the elements [Formula: see text] and [Formula: see text] (where [Formula: see text] depends on [Formula: see text]) in [Formula: see text] is zero, then the invariants under the group action are exactly equal to [Formula: see text]. We show that the converse holds.
Analyzing the Financial Risk Factors Impacting the Economic Benefits of the Consumer Electronic Goods Manufacturing Industry in India
Authors: Tatiparti Suhasini , Mahajan Kirti Nilesh , Reddi Sowmya Kethi , Aancy H. Mickle , Kumar Bhupendra
Published: March 2023

Financial market instability and losses driven by changes in stock prices, currencies, interest rates, and other factors are the primary causes of economic risk. One of the risk types with the highest priority for every business is financial risk. The consumer electronics manufacturing sector’s focus on rising technology is driving important growth and includes manufacturers of smartwatches, stylish home products, and smart speakers. Risks can arise from the inability to meet functional requirements and business expectations throughout the life cycle, from original formation to final disposal, while supplying competitive electronic products. All of this highlights the necessity and potential of thorough study in the field of financial risk in economic growth. With the help of owners and managers of top electronic manufacturing industries in India, this study’s goal is to examine and evaluate several aspects of financial risk in economic benefits. The main factors of the financial risk covered under the study include liquidity risk, market risk, credit risk, and operational risk. Financial risks also arise from a combination of macroeconomic factors, including changing interest rates on the market and the potential for default by sizable businesses or industries. Financial stability is of the utmost importance to a commercial enterprise to maintain its position and status in the commercial environment. All of this demonstrates the value and need for rigorous research in the area of financial risk affecting the performance of the organization. This study intends to analyze several components of financial risk in consumer electronic goods manufacturers in India. Various aspects discussed in the study revolving around financial risk management are an important factor and demand the maximum attention of the organization.
Behavior of Love-Wave Fields Due to the Reinforcement, Porosity Distributions, Non-Local Elasticity and Irregular Boundary Surfaces
Authors: Bhat Manasa , Manna Santanu
Published: March 2023

Investigations are carried out to predict the characteristic behavior of Love-wave fields propagating in a non-local elastic model under the effects of irregular boundary surfaces, reinforcement, and porosity distributions. The model includes an anisotropic fiber-reinforced medium lying over an anisotropic porous half-space. Two different porosity distributions are investigated within the porous half-space, namely uniform porosity and asymmetrical porosity. Analytical solutions to the displacement fields for both the upper layer and the lower porous half-space are calculated. Solutions to the latter porosity distribution are obtained by using the asymptotic expansions of the Kummer hypergeometric functions of the second kind. Both the interface and the upper surface of the two-layered media are subjected to irregular boundary conditions, which leads to a complex form of the dispersion relation. We analyze the phase velocity and damped velocity behavior of the traveling Love-wave fields separately by using the real and imaginary components of the velocity dispersion relation. The calculated phase velocity curves obtained at the same parameters have been compared to demonstrate the accuracy of the established model. The effects of corrugation parameters, porosity distributions, non-local elasticity, and reinforcement on the phase velocity and the damped velocity curves are analyzed in detail using MATLAB software.
n-Quasi-m-contractive and n-quasi-m-expansive operators on a Hilbert space
Authors: Saddi Adel , Mahmoudi Fatma
Published: March 2023

In this paper, we introduce a new class of operators called the [Formula: see text]-quasi-[Formula: see text]-contractive and [Formula: see text]-quasi-[Formula: see text]-expansive operators which are generalizations of [Formula: see text]-quasi-[Formula: see text]-isometric operators on Hilbert space introduced by Mecheri and Prasad, in [S. Mecheri and T. Prasad, On n-quasi-m-isometric operators, Asian-Eur. J. Math. 9(4) (2016) 1650073]. In addition, we apply those classes to the weighted composition operator. We discuss some examples concerning those classes and the weighted composition operator.
Visualization of relevant parameter dependencies in a delay SEIQ epidemic model — A live script program for didactic and interactive demonstrations
Authors: Pawleta Maximilian , Kiefer Susanne , Gehrig Edeltraud
Published: March 2023

We investigate the influence of critical parameters in epidemic modeling. Simulations using live scripts directly reveal the dependence of the dynamics of infected and susceptible people on e.g., infection rate, contact restrictions as well as vaccination rates. In particular, time delays reflecting the incubation time are particularly critical since they may, depending on the parameters representing a given situation, drive a system from stable to unstable behavior or vice versa. Analysis of the endemic states of an epidemic and visualization of the respective sensitivity to parameter changes may lead to a deeper understanding of the underlying interactions. In particular, the computer program may support the idea of making the complex interrelationships that occur during an epidemic accessible and understandable to a wide audience through user-friendly adjustable parameter settings and immediate updating of simulation results and figures.
Revisiting the Conceptual and the Operational Frameworks for Sharı̄’ah Governance of the Islamic Banks
Authors: Ayub Muhammad , Saba Irum , Kamran Sohail
Published: March 2023

Islamic finance has been facing serious challenges both in terms of credibility as a divine and value-based system and sustainability. Many authors and research institutions have been indicating the issues and suggesting reforms for some years, but one major area that could not get due attention regarding the reform agenda is the Sharı̄’ah governance system and integrating the sustainability framework into the governance related regulations. Another staggering point is that Islamic finance is moving on the path of convergence with conventional finance. It requires well thought-out conceptual and operational frameworks of governance for Islamic Financial Institutions so that the requisite regulations could be introduced and effectively implemented to keep Islamic financial services distinct from conventional services. To suggest such frameworks, this qualitative study analyses the Sharı̄’ah Governance Framework introduced by the State Bank of Pakistan in 2015, and the governance related published material. It can be termed as a case study on Islamic banks’ Sharı̄’ah governance framework and is based on structured interviews with 32 research participants including banks’ Sharı̄’ah board members, Sharı̄’ah reviewers/auditors, experienced Islamic banking practitioners, and the researchers/academics. As a case study, it is based on five research questions and many sub-questions relating to the governance framework introduced by the State Bank of Pakistan in 2015 for Islamic banking institutions in Pakistan. Based on the findings of the study, it suggests the bases, processes, and measures for the Islamic banks and other financial institutions moving to Islamic social finance and integrating it to the sustainability framework. It assigns roles to the regulators, the banks’ Sharı̄’ah boards, BODs, and senior management, and the operations and audit staff. It could become a basis for reforms in the whole process of product development and implementation and conducting business by Islamic banking and finance institutions to realize the objectives of Islamic finance as a divine, just, and value-based system.
Bank Financing and Risk: The Case of Islamic Banks
Authors: Ibrahim Mansor H.
Published: March 2023

The paper assesses the risk implications of rapid Islamic financing growth after the Global Financial crisis and whether financing — risk relations are more reflective of large Islamic banks. Employing a panel regression methodology and a sample of 72 Islamic banks from 14 countries over the period 2010–2019, our analysis indicates that Islamic financing growth does lead to credit risk deterioration up to two years ahead. We note further that Islamic banks are “too small to succeed” in that the risk effect of financing growth is more apparent for small Islamic banks. But, once an Islamic bank reaches a certain size threshold, it demonstrates ability to manage and mitigate credit risk arising from its financing activities. Based on these results, we conclude that Islamic banks need to be bigger.
New Jurassic Dysmorphoptilidae from the Junggar Basin of northwestern China (Insecta: Hemiptera): evolutionary and palaeogeographic implications
Authors: Zhang Qianqi , Chen Jun , Zheng Daran , Jarzembowski Edmund A. , Zhang Haichun , Wang Bo
Published: March 2023

Dysmorphoptilidae is a renowned extinct family of hemipteran insects that is easily distinguished by its bizarrely shaped forewings and distinctive venation. Although widespread in the Early Permian to Mid Jurassic, this family has extremely rarely been recorded in China. Herein one new genus and two new species,
Dysmorphoptila gobiensis
sp. nov. and
Guchinus xinjiangensis
gen. et sp. nov., are described from the Lower Jurassic Badaowan Formation of the Junggar Basin, Xinjiang Uygur Autonomous Region, NW China, representing the first Jurassic Dysmorphoptilidae from northern China. We present a detailed morphological comparison of all known genera and species of Dysmorphoptilidae and a phylogenetic tree based on eight genera and species with relatively complete tegminal characters. The tree indicates that the present subfamilial classification of Dysmorphoptilidae is questionable. A large-scale diversification in forewing venation probably occurred during the Triassic, possibly coeval with the palaeogeographical radiation and ecological adaptation of Dysmorphoptilidae. Our results provide new insights into the evolution and occurrence of this family.
ASM: An Adaptive Secure Multicore for Co-located Mutually Distrusting Processes
Authors: Sahni Abdul Rasheed , Omar Hamza , Ali Usman , Khan Omer
Published: March 2023

With the ever-increasing virtualization of software and hardware, the privacy of user-sensitive data is a fundamental concern in computation outsourcing. Secure processors enable a trusted execution environment to guarantee security properties based on the principles of isolation, sealing, and integrity. However, the shared hardware resources within the microarchitecture are increasingly being used by co-located adversarial software to create timing-based side-channel attacks. State-of-the-art secure processors implement the
strong isolation
primitive to enable non-interference for shared hardware but suffer from frequent state purging and resource utilization overheads, leading to degraded performance. This article proposes
ASM
, an adaptive secure multicore architecture that enables a reconfigurable, yet strongly isolated execution environment. For outsourced security-critical processes, the proposed security kernel and hardware extensions allow either a given process to execute using all available cores or co-execute multiple processes on strongly isolated clusters of cores. This spatio-temporal execution environment is configured based on resource demands of processes, such that the secure processor mitigates state purging overheads and maximizes hardware resource utilization.
Costs and Benefits of Authentication Advice
Authors: Murray Hazel , Malone David
Published: March 2023

Authentication security advice is given with the goal of guiding users and organisations towards secure actions and practices. In this article, a taxonomy of 270 pieces of authentication advice is created, and a survey is conducted to gather information on the costs associated with following or enforcing the advice. Our findings indicate that security advice can be ambiguous and contradictory, with 41% of the advice collected being contradicted by another source. Additionally, users reported high levels of frustration with the advice and identified high usability costs. The study also found that end-users disagreed with each other 71% of the time about whether a piece of advice was valuable or not. We define a formal approach to identifying security benefits of advice. Our research suggests that cost-benefit analysis is essential in understanding the value of enforcing security policies. Furthermore, we find that organisation investment in security seems to have better payoffs than mechanisms with high costs to users.
Salient-Centeredness and Saliency Size in Computational Aesthetics
Authors: Hoh Weng Khuan , Zhang Fang-Lue , Dodgson Neil A.
Published: March 2023

We investigate the optimal aesthetic location and size of a single dominant salient region in a photographic image. Existing algorithms for photographic composition do not take full account of the spatial positioning or sizes of these salient regions. We present a set of experiments to assess aesthetic preferences, inspired by theories of centeredness, principal lines, and Rule-of-Thirds. Our experimental results show a clear preference for the salient region to be centered in the image and that there is a preferred size of non-salient border around this salient region. We thus propose a novel image cropping mechanism for images containing a single salient region to achieve the best aesthetic balance. Our results show that the Rule-of-Thirds guideline is not generally valid but also allow us to hypothesize in which situations it is useful and in which it is inappropriate.
Electrically Conductive Roller-Compacted Concrete (RCC) Containing BOFS, Steel Fiber, and Steel Shaving
Authors: Nasr Danial , Bavafa Ehsan
Published: March 2023

In this study, the feasibility of using steel fibers and steel shavings in roller-compacted concrete containing coarse basic oxygen furnace slag aggregate was investigated in order to improve its mechanical properties and to produce an electrically conductive and environment-friendly concrete. For this purpose, various samples containing 0.4, 0.7, and 1% of steel fiber and 3, 5, and 7% of steel shaving were fabricated. The compressive strength, indirect tensile strength, electrical resistance, and specific density tests were conducted on the samples. The results demonstrated the positive effect of steel fiber and the destructive effect of steel shaving on the compressive and tensile strengths of RCC containing BOFS. The results of the electrical resistance test showed a more positive effect of steel shaving than steel fiber in the conductivity of RCC samples. Regarding the specific gravity results, the natural aggregate replacement with BOFS as well as steel fiber and steel shaving resulted in an increase in the specific gravity of the mixtures. Utilizing the both steel fiber and steel shaving can compensate the unfavorable properties on the RCC containing BOFS.
Secondary Erythrocytosis Associated with Uterine Myoma Is Rare but Should Be of Concern
Authors: Thiangphak Ekasak , Jiamset Ingporn , Matemanosak Phawat , Rattanaburi Athithan
Published: March 2023

Myomatous erythrocytosis syndrome (MES) is a rare gynecological condition, defined by the presence of the clinical triad of erythrocytosis, uterine fibroids, and normalization of red blood cell counts after the surgical removal of uterine fibroids. Herein, we report the case of a woman, in the postmenopausal stage, with the clinical triad of MES. She had a history of erythrocytosis of unknown etiology and underwent phlebotomy for a year prior to visiting our hospital. Pre-operative hemoglobin (Hb) level, hematocrit (Hct) level, and red blood cell (RBC) count were 18.1 g/dL, 56.1%, and 6.52 million cells/μL, respectively. She underwent exploratory laparotomy, transabdominal hysterectomy, and bilateral salpingo-oophorectomy. The operative findings revealed a large uterine myoma, and the pathology result was compatible with uterine leiomyoma. All hematologic parameters returned to the normal range on post-operative day 1. Her hematologic parameters returned to normal values 4 weeks after surgery with a Hb level of 13.5 g/dL, Hct level of 41.2%, and RBC count of 4.92 million cells/μL. The exact pathophysiology of this condition remains unknown. However, surgical removal of uterine myoma is the mainstay of treatment. Despite the rarity of this condition, its diagnosis should be considered in patients presenting with erythrocytosis and uterine masses.
FOXA1 Reprogramming Dictates Retinoid X Receptor Response in ESR1-Mutant Breast Cancer
Authors: Wu Yang , Li Zheqi , Wedn Abdalla M. , Casey Allison N. , Brown Daniel , Rao Shalini V. , Omarjee Soleilmane , Hooda Jagmohan , Carroll Jason S. , Gertz Jason , Atkinson Jennifer M. , Lee Adrian V. , Oesterreich Steffi
Published: March 2023

Estrogen receptor alpha (ER/ESR1) mutations occur in 30% to 40% of endocrine resistant ER-positive (ER+) breast cancer. Forkhead box A1 (FOXA1) is a key pioneer factor mediating ER–chromatin interactions and endocrine response in ER+ breast cancer, but its role in ESR1-mutant breast cancer remains unclear. Our previous FOXA1 chromatin immunoprecipitation sequencing (ChIP-seq) identified a large portion of redistributed binding sites in T47D genome-edited Y537S and D538G ESR1–mutant cells. Here, we further integrated FOXA1 genomic binding profile with the isogenic ER cistrome, accessible genome, and transcriptome data of T47D cell model. FOXA1 redistribution was significantly associated with transcriptomic alterations caused by ESR1 mutations. Furthermore, in ESR1-mutant cells, FOXA1-binding sites less frequently overlapped with ER, and differential gene expression was less associated with the canonical FOXA1–ER axis. Motif analysis revealed a unique enrichment of retinoid X receptor (RXR) motifs in FOXA1-binding sites of ESR1-mutant cells. Consistently, ESR1-mutant cells were more sensitive to growth stimulation with the RXR agonist LG268. The mutant-specific response was dependent on two RXR isoforms, RXR-α and RXR-β, with a stronger dependency on the latter. In addition, T3, the agonist of thyroid receptor (TR) also showed a similar growth-promoting effect in ESR1-mutant cells. Importantly, RXR antagonist HX531 blocked growth of ESR1-mutant cells and a patient-derived xenograft (PDX)-derived organoid with an ESR1 D538G mutation. Collectively, our data support the evidence for a stronger RXR response associated with FOXA1 reprograming in ESR1-mutant cells, suggesting development of therapeutic strategies targeting RXR pathways in breast tumors with ESR1 mutation.

Implications:

It provides comprehensive characterization of the role of FOXA1 in ESR1-mutant breast cancer and potential therapeutic strategy through blocking RXR activation.
Breastfeeding and Mammographic Breast Density: A Cross-sectional Study
Authors: Getz Kayla R. , Adedokun Babatunde , Xu Shuai , Toriola Adetunji T.
Published: March 2023

Breastfeeding is inversely associated with breast cancer risk but the associations of breastfeeding with mammographic breast density (MBD) are not clear. We investigated the association between breastfeeding and volumetric measures of MBD [volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV)] and evaluated whether it differs by race, menopausal status, and body mass index (BMI). The study population was comprised of 964 women (67% non-Hispanic White, 29% non-Hispanic Black) who had screening mammography at Washington University School of Medicine, St. Louis, MO. VPD, DV and NDV were log10 transformed. We performed multivariable linear regression models adjusted for age, BMI, family history of breast cancer, race, and age at menarche among all participants and exclusively in parous women. Mean age was 50.7 years. VPD was 12% lower among women who breastfed 0–6 months, [10β = 0.88, 95% confidence interval (CI; 0.79–0.98)] compared with nulliparous women. Breastfeeding was not associated with VPD among women who breastfed >7 months. Breastfeeding was inversely associated with DV [parous never breastfed: 10β = 0.93; 95% CI (0.83–1.04), breastfed 0–6 months: 10β = 0.91, 95% CI (0.79–1.05), breastfed 7–12 months: 10β = 0.94; 95% CI (0.81–1.10), breastfed >12 months: 10β = 0.87, 95% CI (0.78–0.98), Ptrend = 0.03]. BMI modified the association between breastfeeding and VPD. Women who breastfed for 0–6 months and had a BMI < 25 kg/m2 had lower VPD compared with nulliparous women, but among women with a BMI ≥ 25 kg/m2 there was no association (Pinteraction = 0.04). In this diverse study population, the association of breastfeeding with VPD appears to be modified by BMI, but not by race or menopausal status. Future research exploring the associations of breastfeeding with other mammographic features are needed.

Prevention Relevance:

Breastfeeding for up to 6 months may be associated with lower VPD among women with a BMI < 25 kg/m2. The potential role of MBD in mediating the associations of breastfeeding with breast cancer risk in a select group of women deserves further evaluation.

See related Spotlight, p. 309
The Effects of COVID-19 Pandemic Lockdowns on Alcohol Consumption and Tobacco Smoking Behaviour in South Africa: A National Survey
Authors: Mapanga Witness , Craig Ashleigh , Mtintsilana Asanda , Dlamini Siphiwe N. , Du Toit Justin , Ware Lisa J. , Norris Shane A.
Published: March 2023

Introduction: During the first phase of the coronavirus (COVID-19) pandemic lockdowns in South Africa (SA), both alcohol and tobacco were considered non-essential goods and their sales were initially prohibited and further restricted to certain days and timeframes. This study investigates self-reported changes in alcohol consumption and tobacco smoking behaviour in the general population during the COVID-19 pandemic lockdowns in SA. Methods: A cross-sectional national survey was conducted in October 2021 (before the Omicron wave 4 and while SA was in low-level lockdown) among 3,402 nationally representative respondents (weighted to 39,640,674) aged 18 years and older. Alcohol consumption and tobacco use were assessed from the beginning of the lockdown towards the end of March 2020 until October 2021 using the WHO-AUDIT and the US Centre for Disease Control (CDC) Global Adult Tobacco Survey questionnaires, respectively. Results: Among those that drank alcohol (33.2%), 31.4% were classified as having a drinking problem that could be hazardous or harmful and 18.9% had severe alcohol use disorder during the COVID-19 lockdowns. Twenty-two per cent (22.0%) of those that reported alcohol consumption reported that the COVID-19 pandemic lockdowns changed their alcohol consumption habits, with 38.1% reporting a decreased intake or quitting altogether. Among the one in five respondents (19.2%) who had ever smoked, most reported smoking at the time of the survey (82.6%) with many classified as light smokers (87.8%; ≤10 cigarettes/day). Almost a third (27.2%) of those smoking reported that the COVID-19 pandemic lockdowns had changed their use of tobacco products or vaping, with 60.0% reporting a reduction/quitting tobacco use. Given that sales were restricted this indicates that people could still get hold of tobacco products. Heavy smoking was associated with older age (p = 0.02), those classified as wealthy (p < 0.001), those who started or increased tobacco smoking during the pandemic lockdowns (p = 0.01) and residential provinces (p = 0.04). Conclusion: Given restrictions on the sale of alcohol and tobacco in SA between 27 March and August 17, 2020, during the pandemic, respondents reported an overall decline in alcohol consumption and tobacco use which might suggest that the regulatory restrictive strategies on sales had some effect but may be inadequate, especially during times where individuals are likely to experience high-stress levels. These changes in alcohol consumption and tobacco use were different from what was reported in several European countries, possibly due to differences in the restrictions imposed in SA when compared to these European countries.
Psoriasis: Neuer Wirkmechanismus erweitert das Therapiespektrum
Authors: Lauffer Felix
Published: March 2023

Background: Effective, well-tolerated oral psoriasis treatments are needed. Objective: To compare the efficacy and safety of deucravacitinib, an oral, selective, allosteric tyrosine kinase 2 inhibitor, versus placebo and apremilast in adults with moderate to severe plaque psoriasis. Methods: Participants were randomized 2:1:1 to deucravacitinib 6 mg every day (n = 332), placebo (n = 166), or apremilast 30 mg twice a day (n = 168) in the 52-week, double-blinded, phase 3 POETYK PSO-1 trial (NCT03624127). Coprimary end points included response rates for ≥75% reduction from baseline in Psoriasis Area and Severity Index (PASI 75) and static Physician's Global Assessment score of 0 or 1 (sPGA 0/1) with deucravacitinib versus placebo at week 16. Results: At week 16, response rates were significantly higher with deucravacitinib versus placebo or apremilast for PASI 75 (194 [58.4%] vs 21 [12.7%] vs 59 [35.1%]; P < .0001) and sPGA 0/1 (178 [53.6%] vs 12 [7.2%] vs 54 [32.1%]; P < .0001). Efficacy improved beyond week 16 and was maintained through week 52. Adverse event rates with deucravacitinib were similar to those with placebo and apremilast. Limitations: One-year duration, limited racial diversity. Conclusion: Deucravacitinib was superior to placebo and apremilast across multiple efficacy end points and was well tolerated in moderate to severe plaque psoriasis.
Performance evaluation of microgrid with extreme learning machine based PID controller
Authors: Rajput Isha , Verma Jyoti , Ahuja Hemant
Published: March 2023

The enhanced penetration of the renewable energy sources (RES) is dependent on microgrid (MG) to a power system is impact stability of the system due to a variation in dynamic properties of the MG from a traditional generator. As a result, analyzing the new issues with dynamic stability and controlling the operation of the power system in the connection of rising MG penetration becomes critical. This paper contains a MG system with renewable energy assisted, superconducting magnetic energy storage (SMES) storage and an extreme learning machine (ELM) based proportional integral derivative (PID) controller. The effect of renewable-based MG penetration on a dynamic stability and control of the multi machine multi area system under varied operating situations is comprehensively investigated in this study. Non-linear time-domain simulations and several performance indicators are used to evaluate the controller's ability with the different MG penetration percentages under various disturbances and operational conditions.
Pulse charging based intelligent battery management system for electric vehicle
Authors: Kadlag Sunil Somnath , Tapre Pawan , Mapari Rahul , Thakre Mohan , Kadam Deepak , Dahigaonkar Dipak
Published: March 2023

Electric vehicles (EVs) are now an important part of the automotive industry for two main reasons: decreased reliance on oil and reduced air pollution, which helps us contribute to the development of an environmentally friendly environment. EV buyers examine overall vehicle mileage, recharge time, vehicle mileage after every charge, batteries charging/discharging security, lifespan, charged rate, capability, and temperature increase. A new improved pulse charging technique is proposed, in which the battery is charged using proportional integral derivative (PID) control action and a neural network. A PID controller is used to develop the charging unit in this design. The feed forward neural network was used to determine the values of the PID control parameters. The battery management system (BMS) ensures that this designed battery charging system takes less time to charge the battery efficiently. The system is built with MATLAB/Simulink.
Lane change decision aid and warning system using LoRa-based vehicle-to-vehicle communication technology
Authors: Abdul Razak Siti Fatimah , Ren Tee Yee , Yogarayan Sumendra , Kamis Noor Hisham , Yusof Ibrahim
Published: March 2023

Among the most severe crash scenarios are those caused by driver’s decisions to manoeuvre the vehicle to the adjacent lanes. In most scenarios, drivers’ intentionally change lanes to take over another slower vehicle and preserving the current vehicle speed especially on highway road. The decision may be fatal for drivers of incoming or approaching vehicles which are not aware of the intention and fail to reduce their vehicle speed to avoid lane change collision. Hence, this study proposes a lane change decision aid and warning system which aims to support the driver’s decision prior to performing the lane change on highway road where vehicles are travelling in a single direction. The system implements vehicle-to-vehicle communication (V2V) via long-range (LoRa) communication technology to alert the host vehicle of approaching vehicles and warns the approaching vehicle when a host vehicle intends to change lane. Visual and audible warning will be triggered as precaution mechanism for both host and approaching vehicle drivers. Experiments shows that V2V using LoRa can provide contextual information which are useful to assist drivers in deciding whether to change lane or not on highway use case settings.
Glaucoma classification using a polynomial-driven deep learning approach
Authors: Naidana Krishna Santosh , Barpanda Soubhagya Sankar
Published: March 2023

In this paper, a deep learning-based multi-stage polynomial driven glaucoma classification-net (PDGC-Net) has been proposed for glaucoma identification through retinal images. The proposed approach begins with retinal image pu[1]rification by noise estimation and reduction. Noise has been estimated using a polynomial coefficient-based approach. Images are classified using PDGC-Net, whose polynomial indeterminate representative blocks are designed using new convolutional neural networks (CNN) architectures. The performance of PDGC[1]Net has been observed on the ACRIMA, ORIGA, and retinal image database for optic nerve evaluation (RIM-ONE) datasets. The experimentation is carried out on noisy and denoised images separately, and PDGC-Net has achieved 96% to 98% and 98% to 100% accuracy ranges, respectively. The model’s elasticity is tested with various stages of PDGC-Net. The quantitative PDGC-Net perfor[1]mance analysis is done with state-of-the-art CNN models. The proposed model’s performance has been proven and could be an effective aid to ophthalmologists for glaucoma screening (GS).
Federated learning security mechanisms for protecting sensitive data
Authors: Al-Ameer Asraa A. Abd , Bhaya Wesam Sameer
Published: March 2023

One of the new trends in the field of artificial intelligence is federated learning (FL), which will have promising roles in many real-world applications due to the work characteristics of its architecture. The learning mechanism for this technique is based on making training in a distributed manner on the local data for each client using decentralized data, then collecting parameters for each local training and uploading it to the server, which in turn will send model updates to all clients to give the final learning result. To provide a broad study on FL from security and privacy aspects, this research paper introduces a general view of FL and its categories, most attacks that can befall it, the safety mechanisms used by existing works in attacks defense, enhancing the safety and privacy of FL whether in the transmission or collecting of data. Then, the usage of FL in network security by many research papers has been presented, and how good results were achieved, and finally a comparison has been made between these papers.
Group decision support system model to determine supervisor lecturers for student creativity programs
Authors: Amin M. Miftakul , Sutrisman Adi , Dwitayanti Yevi
Published: March 2023

A group decision support system (GDSS) model was created in this study by implementing the weighted product (WP) method and the borda method to determine prospective assistant or supervisor lecturers for student creativity programs (PKMs) that are routinely carried out every year at the Sriwijaya State Polytechnic. This study applies 5 criteria, including i) education level, ii) academic position, iii) group tenure, iv) lecturer certification, and v) achievement in the field of three pillars of higher education. The decision-makers in this study consisted of the head of the department (DM–1), the secretary of the department (DM–2), and the head of the study program (DM–3) where they carried out the decision-making process in groups. The WP method is used to make preferences independently of the decision-makers to determine the best alternative based on predetermined criteria. The borda method is currently used to aggregate the decision-makers to obtain the final result in the form of an alternative ranking. The results of this study are sufficient to be used as a reference in determining the supervisor lecturer for PKM activities at the Department of Computer Engineering, State Polytechnic of Sriwijaya.
Incorrect facemask-wearing detection using image processing and deep learning
Authors: Habeeb Zeyad Qasim , Al-Zaydi Imad
Published: March 2023

Now and in the future, a face mask is a very important strategy to protect people when a new contagious life threatens disease spread through the air appears. Currently, there is a serious health emergency because of the coronavirus disease 2019 (COVID-19) epidemic. The negative consequences of this pandemic need to be protected in public areas. Numerous methods are advised by the World Health Organization (WHO) to reduce infection rates and prevent depleting the available medical resources in the absence of efficient antivirals. Wearing masks is a non-pharmaceutical strategy to lessen the susceptibility to COVID-19 infection. This research aims to create a face mask identification system that is efficient and uses deep learning, which has proven to be beneficial in many real-world applications. This system has also used a transfer learning method with the MobileNetV2 model to classify people who wear face masks properly, wear face masks improperly, and are without masks. The results demonstrate that the proposed system has an accuracy of 99.4% which is higher than current systems.
Control technique for power quality improvement of isolated wind power generation system
Authors: Gorel Goksu , Fadhil Inas
Published: March 2023

Power quality (PQ) problems for renewable energy system (RES) is major challenge for using these systems. Amplitude, frequency, and waveform is important PQ parameters especially for standalone or isolated systems. In this paper we propose RES with wind turbine (WT) and permanent magnet synchronous generator (PMSG) to feed different loads (liner, non-liner) through AC-DC-AC converter. The PMSG operate with fuzzy logic inertia controller, to convert turbine torque form PU to Nm. The inverter stage in the converter operate according to proportional integral derivative (PID) controller with 3rd harmonic injection pulse width modulation (PWM) to regulate the AC voltage in load side. For the same case study and operating condition, we compared the result for system parameters when using ordinary PWM and using PID with 3rd harmonic injection. Voltages total harmonics distortion (THD) was less than 2% with liner loads, and 3.5% with non-liner load and the same was for current load, the voltage amplitude was between (1-1.03) PU under different wind speed by using the proposed controller.
An efficient method for estimating energy losses in distribution's feeder
Authors: Masdzarif Nur Diana Izzani , Ibrahim Khairul Anwar , Gan Chin Kim , Au Mau Teng , Baharin Kyairul Azmi , Emran Nurul A. , Abidin Zaheera Zainal
Published: March 2023

This paper explains a simple and efficient methodology for calculating monthly energy losses (EL) using the load loss factor technique and a representative composite load profile. One of the important benefits of the proposed work is a simpler, more efficient and less rigorous method to estimate the system-wide energy loss of an extensive distribution network with reasonable accuracy. The sum of all EL provided by each feeder section is used to calculate the total feeder EL. A base case feeder with a typical cable type and power factor is used to generate regression equations, a peak power loss function to estimate the EL. A case study is then used to show the models and techniques that have been established. The result indicates a high level of agreement with the time-series load flow simulations (smaller than 10% deviations). With this model, an approach to estimate the EL of all radial feeders of various configurations and characteristics could be extended and implemented. The spreadsheet approach is ideal for completing a quick energy audit of existing distribution feeder EL and determining the sensitivity of distribution network efficiency to changes in feeder sections and load characteristics.
Development of electrooculogram based human computer interface system using deep learning
Authors: Hossieny Radwa Reda , Tantawi Manal , Shedeed Howida , Tolba Mohamed F.
Published: March 2023

The patients with diseases that cause severe movement disabilities was noticeably increasing. These disabilities made patients unable to carry out their daily activities or interact with their external environment. However, the existence of human-computer interfaces (HCI) gave those patients a new hope to be able to interact once again. HCI enabled these patients to communicate with their environment by recognizing the movement of their eyes. Eye movements are recorded by an electro-oculogram (EOG) through some electrodes that are put vertically and horizontally on the eyes. In this paper, EOG vertical and horizontal signals were analyzed to detect six eye movements (up, down, right, left, double blinking, and center). Three deep learning models namely convolution neural network (CNN), visual geometry group (VGG), and inception had been examined on filtered EOG signals. The experimental results reveal the superiority of the inception model in providing the best average accuracy 96.4%. Accordingly, a writing system is presented based on the detected movements.
Relevant Words Extraction Method in Text Mining
Authors: Naw Naw
Published: March 2023

Nowadays, E-commerce is very popular because of information explosion. Text mining is also important for information extraction.  Users are more preferable to use the convenience system from many sources such as through web pages, email, social network and so on. This system proposed the relevant words extraction method for car recommendation system from user email. In relevant words extraction, this system proposed the Rule-based Technique based on Compiling Technique. Context- free grammar is very suitable for relevant words extraction. The extracted keys will be used in recommendation system. Recommendation System (RS) is a most popular tool that helps users to recommend according to their interests. In recommendation, this system proposed Content-based Filtering approach with Jaccard Coefficient that will help the users who want to buy the car by providing relevant car information.
Robust Coordinated Designing of PSS and UPFC Damping Controller
Authors: Safari Amin
Published: March 2023

This paper presents the simultaneous coordinated designing of the UPFC robust power oscillation damping controller and the conventional power system stabilizer. On the basis of the linearized Phillips-Herffron model, the coordinated design problem of PSS and UPFC damping controllers over a wide range of loading conditions and system configurations is formulated as an optimization problem with the eigenvalue-based multiobjective function which is solved by a particle swarm optimization algorithm (PSO) that has a strong ability to find the most optimistic results. The stabilizers are tuned to simultaneously shift the undamped electromechanical modes to a prescribed zone in the s-plane. To ensure the robustness of the proposed simultaneous coordinated controllers tuning, the design process takes into account a wide range of operating conditions and system configurations. The effectiveness of the proposed method is demonstrated through eigenvalue analysis, nonlinear time-domain simulation and some performance indices studies under various disturbance conditions of over a wide range of loading conditions. The results of these studies show that the PSO based simultaneous coordinated controller has an excellent capability in damping power system oscillations and enhance greatly the dynamic stability of the power system.