bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Hearing Loss on Cognitive Function in Subjective Cognitive Decline
Authors: Park So Young , Ho Seong Hee , Hong Yun Jeong , Jeong Jee Hyang , Park Kee Hyung , Kim SangYun , Wang Min Jeong , Choi Seong Hye , Kim Regina E.Y. , Yang Dong Won , Park Shi Nae
Published: October 2022

Introduction: Subjective cognitive decline (SCD) is a self-reported cognitive decline without objective cognitive impairment. The relationship between audiometric hearing loss (HL) and cognitive function has not been reported in SCD. The purpose of this study was to investigate whether HL affects cognition-related indexes in SCD individuals. Methods: This is a cross-sectional study that used the baseline data of a multicenter cohort study that monitors clinical progression from SCD to dementia. Individuals aged ≥60 years who reported cognitive decline but had no objective cognitive impairment on comprehensive neuropsychological tests were recruited. Participants were grouped into the normal-hearing (NH) and bilateral HL groups. The demographics, clinical characteristics, dementia biomarkers, global cognition, questionnaire scores, neuropsychological test scores, and segmental brain volumes from MRI were compared between the groups. Results: Of a total of 120 participants, one hundred and two had NH (n = 57) or bilateral HL (n = 45). There were no group differences in the demographic and clinical data except the age. The biomarkers, global cognition, and questionnaire scores were not different between the groups. The HL group performed worse (the z-score of −0.06) in the Stroop Color Word Test than the NH group (0.27) (p = 0.025). Brain volumetric analysis revealed that the HL group had reduced gray matter volumes in four brain subregions: left temporal pole, left caudal middle frontal gyrus, left hippocampus, and right isthmus of the cingulate gyrus. Conclusion: In SCD, HL exerted an adverse effect on cognitive function, primarily frontal executive function tested in the Stroop task. HL was also related to gray matter volume reductions in brain subregions, although causality needs further investigation. This study may provide evidence for a potential link between hearing and cognition in SCD, an emerging clinical entity.
Ovalbumin-Induced Epithelial Activation Directs Monocyte-Derived Dendritic Cells to Instruct Type 2 Inflammation in T Cells Which Is Differentially Modulated by 2′-Fucosyllactose and 3-Fucosyllactose
Authors: Zuurveld Marit , Kiliaan Pien C.J. , van Grinsven Sophie E.L. , Folkerts Gert , Garssen Johan , van’t Land Belinda , Willemsen Linette E.M.
Published: October 2022

Allergic sensitization starts with epithelial cell activation driving dendritic cells (DCs) to instruct T helper 2 (Th2) cell polarization. Food allergens trigger intestinal epithelial cell (IEC) activation. Human milk oligosaccharides may temper the allergic phenotype by shaping mucosal immune responses.We investigated in vitro mucosal immune development after allergen exposure by combining ovalbumin (OVA)-preexposed IEC with monocyte-derived DCs (OVA-IEC-DCs) and subsequent coculture of OVA-IEC-DCs with Th cells. IECs were additionally preincubated with 2′FL or 3FL.OVA activation increased IEC cytokine secretion. OVA-IEC-DCs instructed both IL13 (p < 0.05) and IFNγ (p < 0.05) secretion from Th cells. 2′FL and 3FL permitted OVA-induced epithelial activation, but 2′FL-OVA-IEC-DCs boosted inflammatory and regulatory T-cell development. 3FL-OVA-IEC lowered IL12p70 and IL23 in DCs and suppressed IL13 (p < 0.005) in T cells, while enhancing IL17 (p < 0.001) and IL10 (p < 0.005).These results show that OVA drives Th2- and Th1-type immune responses via activation of IECs in this model. 2′FL and 3FL differentially affect OVA-IEC-driven immune effects. 2′FL boosted overall T-cell OVA-IEC immunity via DC enhancing inflammatory and regulatory responses. 3FL-OVA-IEC-DCs silenced IL13, shifting the balance towards IL17 and IL10.This model demonstrates the contribution of IEC to OVA Th2-type immunity. 2′FL and 3FL modulate the OVA-induced activation in this novel model to study allergic sensitization.
Extrahepatic Portal Vein Thrombosis in Childhood: Risk Factors, Clinical Manifestations, and Management
Authors: Yankov Ivan , Shentova-Eneva Rayna , Mumdzhiev Hristo , Petleshkova Penka , Krasteva Maya , Chatalbashev Dimitar , Stefanova Penka , Moshekov Evgeniy , Gogova Teodora
Published: October 2022

Objective: Extrahepatic portal vein thrombosis (EHPVT) is a common cause of portal hypertension in children. The aim of the present study was to identify the clinical manifestations and the risk factors for development of EHPVT in pediatric patients. Subjects and Methods: This was a single-center retrospective cohort study. A total of 12 children (6 boys and 6 girls) took part in the study. We noted the clinical presentations and the predisposing risk factors for development of EHPVT in all patients. In addition, as all of them had undergone an esophagogastroduodenoscopy for detection and grading of esophageal varices as part of the treatment algorithm, we analyzed the endoscopic findings and the therapeutic approach. Results: The median age of subjects at diagnosis was 3.5 years (range: 1–17 years). The most frequent initial clinical manifestation was upper gastrointestinal bleeding (6 cases, 50.0%) followed by splenomegaly (3 cases, 25.0%). The most frequent systemic risk factor for EHPVT was presence of inherited prothrombotic disorder (10 cases, 83.3%), and the most common local risk factor for EHPVT was umbilical vein catheterization (5 cases, 41.7%). Esophageal varices were revealed in all the study participants, and in the most cases, they were grade ≥2. Propranolol was used as primary or secondary prophylaxis in 7 children (58.3%), and in 5 children (41.7%), a shunt was performed (Meso-Rex bypass in 3 children and splenorenal shunt in 2 children). Conclusion: Patients with known systemic or local risk factors for EHPVT are indicated for proactive ultrasound screening for early diagnosis and timely management.
Evaluation of an Artificial Intelligence-Based Detector of Sub- and Intraretinal Fluid on a Large Set of Optical Coherence Tomography Volumes in Age-Related Macular Degeneration and Diabetic Macular Edema
Authors: Habra Oussama , Gallardo Mathias , Meyer zu Westram Till , De Zanet Sandro , Jaggi Damian , Zinkernagel Martin , Wolf Sebastian , Sznitman Raphael
Published: October 2022

Introduction: In this retrospective cohort study, we wanted to evaluate the performance and analyze the insights of an artificial intelligence (AI) algorithm in detecting retinal fluid in spectral-domain OCT volume scans from a large cohort of patients with neovascular age-related macular degeneration (AMD) and diabetic macular edema (DME). Methods: A total of 3,981 OCT volumes from 374 patients with AMD and 11,501 OCT volumes from 811 patients with DME were acquired with Heidelberg-Spectralis OCT device (Heidelberg Engineering Inc., Heidelberg, Germany) between 2013 and 2021. Each OCT volume was annotated for the presence or absence of intraretinal fluid (IRF) and subretinal fluid (SRF) by masked reading center graders (ground truth). The performance of an already published AI algorithm to detect IRF and SRF separately, and a combined fluid detector (IRF and/or SRF) of the same OCT volumes was evaluated. An analysis of the sources of disagreement between annotation and prediction and their relationship to central retinal thickness was performed. We computed the mean areas under the curves (AUC) and under the precision-recall curves (AP), accuracy, sensitivity, specificity, and precision. Results: The AUC for IRF was 0.92 and 0.98, for SRF 0.98 and 0.99, in the AMD and DME cohort, respectively. The AP for IRF was 0.89 and 1.00, for SRF 0.97 and 0.93, in the AMD and DME cohort, respectively. The accuracy, specificity, and sensitivity for IRF were 0.87, 0.88, 0.84, and 0.93, 0.95, 0.93, and for SRF 0.93, 0.93, 0.93, and 0.95, 0.95, 0.95 in the AMD and DME cohort, respectively. For detecting any fluid, the AUC was 0.95 and 0.98, and the accuracy, specificity, and sensitivity were 0.89, 0.93, and 0.90 and 0.95, 0.88, and 0.93, in the AMD and DME cohort, respectively. False positives were present when retinal shadow artifacts and strong retinal deformation were present. False negatives were due to small hyporeflective areas in combination with poor image quality. The combined detector correctly predicted more OCT volumes than the single detectors for IRF and SRF, 89.0% versus 81.6% in the AMD and 93.1% versus 88.6% in the DME cohort. Discussion/Conclusion: The AI-based fluid detector achieves high performance for retinal fluid detection in a very large dataset dedicated to AMD and DME. Combining single detectors provides better fluid detection accuracy than considering the single detectors separately. The observed independence of the single detectors ensures that the detectors learned features particular to IRF and SRF.
Effect of a Toothpaste Containing Surface Pre-Reacted Glass-Ionomer Filler on the Remineralization of Artificial Carious Enamel Lesions in situ
Authors: Vertuan Mariele , França da Silva Júlia , Ferreira Amanda Moura , Braga Aline Silva , Magalhães Ana Carolina
Published: October 2022

This study evaluated the remineralizing effect of a toothpaste containing surface pre-reacted glass-ionomer (S-PRG) filler on demineralized enamel in situ. For this, 180 bovine enamel samples were demineralized by using a microcosm biofilm model for 3 days. Thereafter, the samples were randomly signed to 15 healthy volunteers and to 3 cross-over in situ phases corresponding to the following treatments: (1) toothpaste containing 1,500 ppm F as NaMFP (positive control, Colgate®Cavity Protection), (2) toothpaste containing 5% S-PRG filler (Shofu®), and (3) placebo toothpaste (negative control prepared by Shofu®). Four demineralized enamel blocks were fixed into each palatal appliance per phase. The volunteers wore the appliances for 5 days and were trained to brush their teeth 2 times for 2 min a day, while one drop of the toothpaste’s slurry (1:3) was dripped on each sample for the same period. The surface hardness and TMR analyses were done and analyzed by ANOVA/Tukey and t test (p < 0.05). S-PRG filler and Colgate® toothpastes were equally able to improve 2–2.5× enamel remineralization by the analysis of % surface hardness recovery. However, S-PRG toothpaste was the only one able to significantly improve ΔΔZ (the integrated mineral loss recovery: 1,489 ± 503 %vol.μm) compared to placebo (1,050 ± 467 %vol.μm), while Colgate® did not differ from placebo. No differences were seen between the groups with respect to ΔLD. S-PRG filler and Colgate® toothpastes show similar potential to remineralize the lesion surface. However, S-PRG toothpaste is better to recover mineral loss at the subsurface area.
Stanniocalcin 2 Is Upregulated by Calcium-Sensing Receptor and Protects Human Vascular Smooth Muscle Cells from High-Phosphate-Induced Apoptosis
Authors: Liu Fen-fen , Zhang Ai-hua , Huang Hong-dong , Liu Xu , Diao Zong-li , Deng Dai , Liu Wen-hu
Published: October 2022

Introduction: Apoptosis of vascular smooth muscle cells induced by hyperphosphatemia is a critical mechanism of chronic kidney disease-related vascular disorders. The present study investigated whether extracellular calcium-sensing receptor (CaSR) regulates stanniocalcin 2 (STC2) expression in HAoSMCs and subsequently protects HAoSMCs from high-phosphate-induced apoptosis. Methods: HAoSMCs were cultured, and STC2 expression was determined by qPCR. A calcimimetic (NPS R-568) or calcilytic (NPS-2143) was applied to HAoSMCs. STC2 mRNA and protein levels were measured by qPCR and Western blot, respectively, and confocal microscopy was employed to investigate subcellular localization. STC2 overexpression and silencing were induced to assess the effects of STC2 on high-phosphate-induced apoptosis, which was determined by caspase-3 levels and TUNEL staining. The anti-apoptotic effect of CaSR-induced STC2 was confirmed by interfering with STC2 expression in the presence of NPS R-568. Results: The constitutive expression of STC2 was confirmed. STC2 mRNA and protein levels were increased by NPS R-568 with or without high phosphate. NPS-2143 resulted in decreased STC2 mRNA levels, but decreased STC2 protein levels were only found under the high-phosphate condition. Confocal microscopy demonstrated the colocalization of STC2 and plasma membrane or endoplasmic reticulum markers. STC2 overexpression reduced HAoSMCs apoptosis, which were reversed with STC2 silencing. NPS R-568 treatment reduced HAoSMCs apoptosis, but STC2 silencing abolished the protective effect. Conclusion: This is the first evidence that STC2 is regulated by CaSR in HAoSMCs. CaSR activation-induced STC2 has putative anti-apoptotic effects against high phosphate. Calcimimetics are promising agents to treat uremic vascular injury.
Association of Cancer Antigen 125 with Long-Term Prognosis in Light-Chain Cardiorenal Amyloidosis
Authors: Wu Bifeng , Shi Jiaran , Yu Fangcong , Wu Yakui , Tao Xinran , Xuan Tianming , Yang Jinxiu , Wang Xingxiang
Published: October 2022

Introduction: Light-chain (AL) cardiorenal amyloidosis has been characterized as type 5 cardiorenal syndrome with fluid overload and poor prognosis. Cancer antigen 125 (CA125) has the potential for its use in evaluating fluid load and prognosis for heart failure. However, less details for CA125 in AL cardiorenal amyloidosis have been reported. Methods: Sixty patients diagnosed with AL cardiorenal amyloidosis were enrolled in this retrospective study. Patients were divided into two groups according to the cutoff point of CA125 level (35 U/mL). Logistic regression was used to screen variables associated with CA125. Cox regression analyses were utilized to verify the prognostic potential of CA125. Results: The mean age was 61 ± 8 years, and 68% of the participants were male. Compared to patients with normal CA125 levels (≤35 U/mL), patients with high levels of CA125 (>35 U/mL) had a higher proportion of New York Heart Association class >II, pericardial effusion, and edema, as well as a lower level of albumin and left ventricular longitudinal strain (LVLS). Logistic regression showed age, albumin, and LVLS to be independently associated with CA125. Seventeen (28%) patients died during the follow-up. Multivariate model including CA125, estimated glomerular filtration rate, E/e’, and left ventricular ejection fraction showed acceptable prognostic potential (C-index = 0.829, 95% CI: 0.749–0.909). CA125 remained an independent prognostic factor (HR = 1.018, 95% CI: 1.005–1.031, p = 0.008, per 10 U/mL increase) after adjusting for the remaining three variates and provided a significant incremental effect to the risk determined from them (C-index 0.829 vs. 0.784, p = 0.037). Conclusion: Serum CA125 level was associated with long-term prognosis of AL cardiorenal amyloidosis.
Enhancement of voltage generation for thermoelectric generator using parabolic pulsed heating
Authors: Panmuang Piyapat , Photong Chonlatee
Published: October 2022

This paper presents the results of investigations of the impact of parabolic pulsed heating on output voltage levels of a thermoelectric generator. The experiment was set up and tested under different test conditions. The output voltage levels were investigated. The experimental results showed that applying parabolic pulsed heating of 40, 60, 80 and 100 °C significantly maintained the output voltage levels of thermoelectric generator at about 80-95% which was different from steady heating case which was about 10-30% of maximum voltage level.  Moreover, the parabolic pulse heating technique allows the heatsink to not be heated continuously and then the high temperature could be released out from a heat exchanger outside the heating period. This causes the next heating period to have a temperature difference between both sides of the device, and for that reason, could provide more power and efficiency.
Advanced virtual inertia control against wind power intermittency
Authors: Abdillah Muhammad , Andi Syailendra , Nugroho Teguh Aryo , Setiadi Herlambang
Published: October 2022

Rapid industrial development requires more energy to support their manufacturing processes. Unfortunately, conventional energy was mostly utilized as a primary energy source which is unfriendly to nature and can damage the environment. Nowadays, the transformation from the use of conventional energy to renewable energy sources is increasingly being socialized throughout the world. However, the existence of renewable energy poses new challenges in the world of electricity systems where their effect is reducing the inertia (inertialess) value of conventional energy such as thermal generators. This condition causes frequency oscillations and leads to blackout the electricity system. To overcome this problem, this paper proposed advanced virtual inertia control (VIC) based on an superconducting magnetic energy storage (SMES) employed to accommodate the effects of the integration of renewable energy into the electric power system. SMES was choosen because it has a fast response and an efficiency rate of up to 90%. A two-area power system model was utilized to examine the proposed VIC model based on SMES. From the simulation results, VIC based on has succeeded in reducing frequency oscillations by compressing the system overshoot and reducing the settling time to steady-state.
Retired electric vehicle battery to reduce the load frequency control oscillation in the micro grid system
Authors: Abdillah Muhammad , Pratama Rozan Haqi , Pertiwi Nita Indriani , Setiadi Herlambang
Published: October 2022

The potential of a retired electric vehicle battery (REVB) is its capacity to provide backup power supply to the power system grid. This paper proposed energy storage system (ESS) based on REVB called retired battery energy storage system (retired BESS) to tackle the intermittent of renewable energy source such as wind turbine and dynamic load change. To examine the efficacy of the proposed technique, the load frequency control (LFC) of microgrid (MG) system is utilized in this study and the proposed technique is compared to conventional LFC controller, PI controllers, superconducting magnetic energy storage (SMES), and a new electric vehicle battery. The kind of retired BESS cell used in this study is Li-ion nickel manganese cobalt oxide (NMC) type with a state of charge as of 70%. The capacity of each cell for retired BESS is 38 Ah. From the simulation result, the use of retired BESS can reduce frequency oscillation, compress the settling time to reach steady state, and maintain the robustness of the MG system. A retired BESS has a minimum error performance index value compared to conventional LFC, proportional integral (PI) controller, and SMES.
Design of solar cell using mirror, cooling, double axis, and solar tracking
Authors: Siregar Yulianta , Kai Suan Tial Mai , Fernando Soarez Purba Yopi , Suherman Suherman , Soeharwinto Soeharwinto
Published: October 2022

Fossil energy sources are dwindling. It is necessary to develop alternative energy sources for future energy. The solar cell is an alternative energy that can be used in Indonesia. The current challenge is utilizing solar panels for the best possible power production. This research gives the solution to design an increase in solar cell output power by using mirrors, cooling, and a double-axis solar tracking control system. The results show that using a mirror, cooling, and double-axis solar tracking produces optimal output power with a current and power are 2.43 amperes and 40.3 watts, respectively. Meanwhile, several factors can affect this solar panel's efficiency. Specifically, the amount of solar radiation that the solar panel can receive depends on the climate on the day and location of the research and the solar panel's dimensions.
Hysteresis control of the new split-packed-U-cell inverter
Authors: El Gadari Ayoub , El Ouardi Hind , Ounejjar Youssef , Al-haddad Kamal
Published: October 2022

The authors provide a novel hysteresis control method for the SPUC inverter in this paper. The suggested system, which consist of the SPUC inverter and the balancing algorithm can offer eleven levels at output voltage using only seven switches, a closed loop is applied to maintain capacitors voltage at desired values, another hysteresis control that ensures capacitors voltage self-balancing is implemented in open loop which result in the proposed SPUC9 inverter .No voltage sensor or filtering is needed, as a consequence the inverter and installation expenses are kept to a minimum. The authors utilized MATLAB/Simulink environment to simulate the proposed converters. Simulation results prove all the concepts given in this paper. Total harmonic distortion remains reduced and depends on the hysteresis bandwidth
A bio inspired maximum power point tracking controller for PV systems under partial shading conditions
Authors: Sabrina Titri , Hadjer Azli , Nouma Izeboudjen , Cherif Larbes
Published: October 2022

Maximum power point tracking (MPPT) is a technique used in extracting the maximum power from a photovoltaic panel (PV) under different weather conditions. The last decade has witnessed a wide variety of algorithm based on MPPT controllers, ranging from simple to more complexe ones. Each of them has its own advantage and disadvantage. Hence, it is crutial to propose methods that are both simple and effective to track and maintain the MPPT of a PV system, even under partial shading conditions. In this study, we propose a new bio inspired method namely seagull optimization algorithm (SOA) for solving the MPPT problem in a PV system. To evaluate the proposed SOA _MPPT performance in terms of accuracy, convergence and stability, a simulation methodology is used. First, by tunning the appropriate parameters, then, we consider the following scenarios: rapid change of solar irradiation, temperature, and three patterns to test partial shading effect. The results are compared with latest bio-inspired methods, namely, particle swarm optimization (PSO), Bat optimisation algorithm (BAT) and fire fly algorithm (FA). The obtained results confirm the effectiveness and robustness of the proposed controller compared to existing conventional and bio inspired controllers.
Best Proximity Point Results for Generalization of α ̌–η ̌ Proximal Contractive Mapping in Fuzzy Banach Spaces
Authors: I. Sabri Raghad , A. Ahmed Buthainah
Published: October 2022

The best proximity point is a generalization of a fixed point that is beneficial when the contraction map is not a self-map. On other hand, best approximation theorems provide an approximate solution to the fixed-point equation Tҳ = ҳ. It is used to solve the problem to determine an approximate solution that is optimum. The main goal of this paper is to present new types of proximal contraction for nonself mappings in a fuzzy Banach space. At first, the notion of the best proximity point is presented. We introduce the notion of α ̌–η ̌-β ̌ proximal contractive. After that, the best proximity point theorem for such type of mappings in a fuzzy Banach space is proved. In addition, the concept of α ̌–η ̌-φ ̌ proximal contractive mapping is presented in a fuzzy Banach space and under specific conditions, the best proximity point theorem for such type of mapping is proved. Additionally, some examples are supplied to show the results' applicability.
A review on the employment of the hydraulic cylinder for lifting purposes
Authors: Hadi Abed Al-Hady Istabraq , Mahel Mohammed Farag , Abdul-Kareem Mohammed Jamal
Published: October 2022

The hydraulic elevator is both a cost-effective system and results in extremely clean building exterior lines since the usual penthouse-type machine room is eliminated. Without the need for wires, counterweights, or pulleys, this elevator can transfer people between levels. One of the most significant factors to consider when designing people's elevators is that they should not be disturbed when going between levels and that the elevators should stop accurately. As a consequence, innovative technologies such as the electro-hydraulic servo system (EHSS) may be employed with a traditional hydraulic elevator. This technology may employ speed and position input to provide the desired degrees of speed control, riding comfort, and leveling precision. The EHSS is a closed-loop control system that operates as a drive unit, raising and lowering the elevator cabin in response to a variable like position, velocity, or force. This paper examines various types of hydraulic systems for lifting purposes, as well as the application of servo system principles to hydraulic control valves, to credibly provide the traditional hydraulic elevator with a selectable diversity of precise and smooth transport characteristics across floors. This study also looks at how elevators employ telescopic hydraulic cylinders efficiently for lift purposes in the elevator.
Hybrid ensemble learning framework for epileptic seizure detection using electroencephalograph signals
Authors: Rachappa Chetana , Kapanaiah Mahantesh , Nagaraju Vidhyashree
Published: October 2022

An automated method for accurate prediction of seizures is critical to enhance the quality of epileptic patients While numerous existing studies develop models and methods to identify an efficient feature selection and classification of electroencephalograph (EEG) data, recent studies emphasize on the development of ensemble learning methods to efficiently classify EEG signals in effective detection of epileptic seizures. Since EEG signals are non-stationary, traditional machine learning approaches may not suffice in effective identification of epileptic seizures. The paper proposes a hybrid ensemble learning framework that systematically combines pre-processing methods with ensemble machine learning algorithms. Specifically, principal component analysis (PCA) or t-distributed stochastic neighbor embedding (t-SNE) combined along k-means clustering followed by ensemble learning such as extreme gradient boosting algorithms (XGBoost) or random forest is considered. Selection of ensemble learning methods is justified by comparing the mean average precision score with well known methodologies in epileptic seizure detection domain when applied to real data set. The proposed hybrid framework is also compared with other simple supervised machine learning algorithms with training set of varying size. Results suggested that the proposed approach achieves significant improvement in accuracy compared with other algorithms and suggests stability in classification accuracy even with small sized data.
The alternative irregularity reduction algorithm built on 2-stage identification with AMF on FMIO
Authors: Patanavijit Vorapoj , Kesrarat Darun , Thakulsukanant Kornkamol
Published: October 2022

Built on neighborhood correlation, a 2-stage identification technique was offered to incorporate on the irregularity reduction algorithm for random magnitude impulse outlier (RMIO). As a result, this algorithm has an ultimate efficacy thereby a 2-stage identification technique becomes to be one of the high efficacy identification technique. Accordingly, this paper attempts to propose an alternative irregularity reduction algorithm built on a 2-stage identification and adaptive median filter (AMF) with under fix magnitude impulsive outlier (FMIO) at little, mild and immense massiveness. First, by examining great number of depictions, the optimized window dimension for 2-stage scheme from computation and performance is disposed. Second, comprehensive examinations represent that the 2-stage identification technique is disposed to identify between regular and irregular pixels at all massiveness, especially little and mild massiveness. Third, the identification efficacy on great depictions at all massiveness is examined on regular, irregular, regular-irregular efficacy perspective to estimate the optimal window size and optimal 2-stage constant value. Finally, the overall outlier reduction efficacy of an outlier reduction built on 2-stage technique and AMF is examined on great depictions at all massiveness related with other up-to-the-minute outlier reductions. From these results, the outlier reduction has remarkable efficacy than other up-to-the-minute outlier reductions.
Seasonal and latitudinal variations of surface radio refractivity over Nigeria
Authors: Enice Sanyaolu Modupe , Olufemi Sanyaolu
Published: October 2022

Refractivity is a significant challenge of radio signal propagation. As it often distorts or leads to loss of signals. The seasonal and latitudinal variations of surface refractivity at three Nigerian tropospheric Observatory stations in Nigeria, namely Port-Harcourt, Lagos, and Makurdi, are presented in this paper. Values of monthly averages of pressure, temperature, relative humidity, and water vapour from the stations were used to compute surface refractivity at each station. The results show that the values of surface refractivity increase from the arid region in the north to the coastal area in the south. There was an increase in the values of surface radio refractivity from the minimum value of about 332.83 N-units at Makurdi station to a maximum value of 386.69 N-units at Lagos station. Seasonal variations are seen to be caused by weather conditions. The values of the surface refractivity increased significantly in the wet season and reduced in the dry season. It also shows that the values of surface radio refractivity are affected by the meteorological components mentioned above. The result of this study is needed for effective planning of good signal reception in these stations.
Quadruple band MIMO dielectric resonator antenna for 5G SUB-6 GHz applications
Authors: Atika Bazadry Nur , A. Rahim Hasliza , Najib Mohd Yasin Mohd , Abdulmalek Mohamedfareq
Published: October 2022

A quadruple band with L-slotted MIMO square dielectric resonator antenna (SDRA) for Fifth Generation (5G) applications at the sub-6 GHz band which can cover 5G New Radio band N77 (3.3 – 4.2) GHz and N79 (4.4 – 5) GHz. The proposed structure consists of a single SDRA which mounted on a substrate excited by an aperture slot underneath Dielectric Resonators (DR)s. The performance of SDRA is improved by introducing L shaped slots on the central part of DRA. Results show that the MIMO SDRA antenna achieves |S11|< -10 dB and S21<= -15 dB for all resonant frequencies at 3.5 GHz, 4 GHz, 4.6 GHz and 5 GHz, indicating a good performance of the antenna at the desired frequencies. The maximum realized gain is 5.61 dB and 5.01 dB at port 1, 4 GHz and port 2, 4.6 GHz, respectively. The radiation efficiencies are acceptable for all resonant frequencies. Moreover, a low (< 0.1) envelop correlation coefficient, and about 10 dB of diversity gain at both desired frequencies. Thus, the antenna can be used for 5G sub-6 GHz applications.
 
Securing data using deep hiding selected least significant bit and adaptive swarm algorithm
Authors: Aljidi Bashar Izzeddin Issa , Perumal Sundresan , Ali Pitchay Sakinah
Published: October 2022

The emphasis on data protection is improved in particular with respect to the transmission protocols utilized. Different research on numerous data protection areas such as authentication, encryption, hiding of data and validation were performed. In addition, a cybersecurity standard, such as IP-SEC, and secure sockets layer (SSL), were introduced to solve privacy infringement problems by applying encryption, authorization and protection to data exchanged and data stored in the cloud. This study suggests a new steganography algorithm, a data protection tool used to conceal massive amounts of data from graphic and statistic attacks in color images. The proposed algorithm is a multi-level steganography modified deep hiding/extracting technique (MDHET), which implements a selected least signified bit (SLSB) for color picture dispersal of the information. In addition, an accurate pixel location randomization feature has been applied. After MDHET, the predicted results will effectively conceal data up to 6 bpp (bit per pixel) with high safety levels by improving the quality of images. In addition, MDHET can be useful for encoding a deep series of images into one in which the testing procedure is carried out using regular reference images used in color image processing and compression analysis from different institutions.
IoT monitoring system for air quality assessment and collecting data
Authors: Si Tayeb Mustapha , Anis Benallal Mohamed , Salim Benabadji Mohammed , Houari Amine
Published: October 2022

The composition of the air has been visibly altered as a result of human activity, resulting in what we term air pollution. It is no longer necessary to prove the effects on ecosystems and human health. Under these conditions, governments all around the world are working to address this issue, notably in the area of real-time air quality monitoring. The implementation of a data provider is a necessary step in achieving this goal. In that case, this study presents a hardware and software solution to provide a low-cost deployable device to acquire environmental data related to AP such as CO, CO2, NH3, and NO2, along with temperature and humidity. In addition to an user interface development, a complete circuit layout and a set of software criteria are set up to ensure a reliable implementation, data collection, and network communications. The results demonstrated that the device is capable of effectively obtaining real-time data. The analysis results indicate a link between environmental conditions and parameter values. This system deployment will ultimately contribute to providing a more elaborate mapped data distribution, according to a better understanding of our environment.
Present and absent keyphrases extraction: an approach based on sentence embedding
Authors: Ajallouda Lahbib , Zellou Ahmed
Published: October 2022

The automatic keyphrases extraction (AKE) of a document is any expression by which we can learn its content without having to read it. Keyphrases are exploited in natural language processing (NLP) applications. These phrases are often mentioned in the document but there may be some keyphrases that are not mentioned. In the field of AKE, researchers have exploited many techniques, such as statistical calculation, deep learning algorithms, graph representation, and sentence embedding techniques. Approaches that exploit embedding techniques calculate the similarity between a document and a candidate keyphrase, where similar phrases to the document are considered as keyphrases. Representing the document by a single vector makes its performance poor, especially in long documents. This is in addition to the inability of these methods to generate absent keyphrases. In order to overcome these problems, our paper proposes an unsupervised approach to AKE, based on the universal sentence encoder (USE) to represent candidate keyphrases and parts of the document probably containing keyphrases. Our method also generates keyphrases not mentioned in the text. We compared the performance of the proposed approach with other methods based on embedding techniques, where the results showed the superiority of our approach especially in long documents.
A new logic circuits optimization algorithm using bipartite graph
Authors: Ahmed Al-Ghanimi Oday , K. Khafaji Hussein
Published: October 2022

Designing a logic circuit from the scratch requires its description in logical expression, (e.g. sum of products), and then the expression should be optimized to diminish the cost and complexity of the circuit by reducing the number of literals, the number of logical terms, and/or logical operations. Karnaugh map, K-Map, is the most popular method in the optimization process, but it suffers from many drawbacks such as its inefficiency or the inability to be used in minimizing logical expression containing more than four literals, in addition to the complexity of implementing it as a program. In this paper, we propose a new algorithm to optimize the logic circuits depending on the bipartite graph and some of the suggested mathematical operations. The proposed algorithm is simple for programming implementation, literal-unlimited number, and is easy to be visualized and understandable. Many of the logic circuits of 3, 4, 5, and 6 literals were optimized and the results were correctly matched with the results of the Karnaugh map. Also, tens of logic circuits of more than 6 literals are optimized and the results were correctly checked with their truth tables and Logic-Friday tool.
Comparison of the efficiency of machine learning algorithms for phishing detection from uniform resource locator
Authors: Nandi Tultul Ahana , Afroz Romana , Hossain Md Alomgir
Published: October 2022

We are using cyberspace for completing our daily life activities because of the growth of Internet. Attackers use some approachs, such as phishing, with the use of false websites to collect personal information of users. Although, software companies launch products to prevent phishing attacks, identifying a webpage as legitimate or phishing, is a very defficult and these products cannot protect from attacks. In this paper, an anti-phishing system has been introduced that can extract feature from website’s URL as instant basis and use four classification algorithms named as K-Nearest neighbor, decision tree, support vector machine, random forest on these features. According to the comparison of the experimental results from these algorithms, random forest algorithm with the selected features gives the highest performance with the 95.67% accuracy rate. Then we have used one deep learning algorithm as enhanced of our experiment named as deep neural decision forests which have given performance with the 92.67% accuracy rate. Then we have created a system which can extract the features from raw URL and pass the features to our deep neural decision forest trained model and can classify the URL as Phishing or legitimate.
Information management system for research of Don Mariano Marcos Memorial State University–South La Union Campus
Authors: N. Malaya Ara Rivina , Munar Emely A. , Cuison Floribeth Panay , Dacanay Enrico G.
Published: October 2022

This study aimed to develop an information management system for research (IMSR) for the South La Union Campus of Don Mariano Marcos Memorial State University. The descriptive-developmental research design was applied, and the rapid application development model was used in the system development. An interview was conducted and ISO/IEC 25010-based questionnaire was employed. Respondents consisted of 37 faculty members and five (5) research office personnel. The researchers were able to develop the intended IMSR and were able to check its acceptability revealing that the system was very acceptable based on the measurement criteria of the ISO/IEC 25010 as to the following characteristics: functional suitability, reliability, usability, efficiency, maintainability, portability, compatibility, and security. The overall result was found that the IMSR is a deployable functional information management system in enhancing the research operations.
Use of robotized process automation for research management and evaluation
Authors: Boza-Chua Alejandro , Andrade-Arenas Laberiano , Vargas-Cuentas Natalia I. , Roman-Gonzalez Avid
Published: October 2022

Universities, called entities with the responsibility of training new professionals and contributing to continuous knowledge for human development through research, seek to increase their scientific production and climb positions in research rankings. In this sense, research management is necessary and knowing which  information and communications technology tools help in this task is a great help. The main objective of this work is to identify the  information and communications technology tools that help to perform a good research management and implement a system based on Robotized Process Automation to generate a scientific information system for the University of Sciences and Humanities, for this research work was used the cascade methodology which provided several advantages and support for the structure and development of the system, for the process of the system was used the UiPath tool which is considered the best process automation tool. As a result of this research work, a system was obtained that drastically reduces the data collection time to evaluate the scientific production of researchers, thus allowing a better research management.
Leveraging Implementation Science for Cardiovascular Health Equity: A Scientific Statement From the American Heart Association
Authors: Moise Nathalie , Cené Crystal W. , Tabak Rachel G. , Young Deborah R. , Mills Katherine T. , Essien Utibe R. , Anderson Cheryl A.M. , Lopez-Jimenez Francisco ,   on behalf of the American Heart Association Council on Epidemiology and Prevention; Council on Hypertension; and Stroke Council
Published: October 2022

Reducing cardiovascular disease disparities will require a concerted, focused effort to better adopt evidence-based interventions, in particular, those that address social determinants of health, in historically marginalized populations (ie, communities excluded on the basis of social identifiers like race, ethnicity, and social class and subject to inequitable distribution of social, economic, physical, and psychological resources). Implementation science is centered around stakeholder engagement and, by virtue of its reliance on theoretical frameworks, is custom built for addressing research-to-practice gaps. However, little guidance exists for how best to leverage implementation science to promote cardiovascular health equity. This American Heart Association scientific statement was commissioned to define implementation science with a cardiovascular health equity lens and to evaluate implementation research that targets cardiovascular inequities. We provide a 4-step roadmap and checklist with critical equity considerations for selecting/adapting evidence-based practices, assessing barriers and facilitators to implementation, selecting/using/adapting implementation strategies, and evaluating implementation success. Informed by our roadmap, we examine several organizational, community, policy, and multisetting interventions and implementation strategies developed to reduce cardiovascular disparities. We highlight gaps in implementation science research to date aimed at achieving cardiovascular health equity, including lack of stakeholder engagement, rigorous mixed methods, and equity-informed theoretical frameworks. We provide several key suggestions, including the need for improved conceptualization and inclusion of social and structural determinants of health in implementation science, and the use of adaptive, hybrid effectiveness designs. In addition, we call for more rigorous examination of multilevel interventions and implementation strategies with the greatest potential for reducing both primary and secondary cardiovascular disparities.
Gene Sequencing Identifies Perturbation in Nitric Oxide Signaling as a Nonlipid Molecular Subtype of Coronary Artery Disease
Authors: Khera Amit V. , Wang Minxian , Chaffin Mark , Emdin Connor A. , Samani Nilesh J. , Schunkert Heribert , Watkins Hugh , McPherson Ruth , Erdmann Jeanette , Elosua Roberto , Boerwinkle Eric , Ardissino Diego , Butterworth Adam S. , Di Angelantonio Emanuele , Naheed Aliya , Danesh John , Chowdhury Rajiv , Krumholz Harlan M. , Sheu Wayne H.-H. , Rich Stephen S. , Rotter Jerome I. , Chen Yii-der Ida , Gabriel Stacey , Lander Eric S. , Saleheen Danish , Kathiresan Sekar
Published: October 2022

Background:

A key goal of precision medicine is to disaggregate common, complex diseases into discrete molecular subtypes. Rare coding variants in the low-density lipoprotein receptor gene (
LDLR
) are identified in 1% to 2% of coronary artery disease (CAD) patients, defining a molecular subtype with risk driven by hypercholesterolemia.

Methods:

To search for additional subtypes, we compared the frequency of rare, predicted loss-of-function and damaging missense variants aggregated within a given gene in 41 081 CAD cases versus 217 115 controls.

Results:

Rare variants in
LDLR
were most strongly associated with CAD, present in 1% of cases and associated with 4.4-fold increased CAD risk. A second subtype was characterized by variants in endothelial nitric oxide synthase gene (
NOS3
), a key enzyme regulating vascular tone, endothelial function, and platelet aggregation. A rare predicted loss-of-function or damaging missense variants in
NOS3
was present in 0.6% of cases and associated with 2.42-fold increased risk of CAD (95% CI, 1.80–3.26;
P
=5.50×10
−9
). These variants were associated with higher systolic blood pressure (+3.25 mm Hg; [95% CI, 1.86–4.65];
P
=5.00×10
−6
) and increased risk of hypertension (adjusted odds ratio 1.31; [95% CI, 1.14–1.51];
P
=2.00×10
−4
) but not circulating cholesterol concentrations, suggesting that, beyond lipid pathways, nitric oxide synthesis is a key nonlipid driver of CAD risk.

Conclusions:

Beyond
LDLR
, we identified an additional nonlipid molecular subtype of CAD characterized by rare variants in the
NOS3
gene.
TÜRKİYE’DE ENFLASYON VE DÖVİZ KURU İLİŞKİSİ: SAKLI EŞBÜTÜNLEŞME YAKLAŞIMI
Authors: ÖZBEK Sefa , NAIMOGLU Mustafa
Published: October 2022

Bu çalışmanın diğer çalışmalardan farkı geleneksel eşbütünleşme testi ile ortaya çıkmayan bir ilişkiyi daha güncel bir teknik olan Saklı Eşbütünleşme testi ile ortaya koymaktır. Bunu yaparken döviz kuru (kur) ile tüketici fiyat endeksi (tüfe) kullanılarak, Türkiye ekonomisine ait 2006:M-2021:M1 dönemi aylık verilerinden yararlanılmaktadır. Serilerin durağanlık derecelerinin belirlenmesi amacıyla geleneksel ADF ile Phillips-Perron durağanlık testlerinin yanında güncel bir teknik olan Fourier ADF durağanlık testi yapılmıştır. Eşbütünleşme ilişkisinin tespiti için geleneksel Engle ve Granger (1987) eşbütünleşme testi ve daha güncel olan Granger ve Yoon (2002) saklı eşbütünleşme testleri uygulanmıştır ve kısa-uzun dönem eşbütünleşme katsayıları tahmin edilmiştir. Bulgular, Engle ve Granger (1987) eşbütünleşme testine göre herhangi bir eşbütünleşme ilişkisinin mevcut olmadığını gösterirken; Granger ve Yoon (2002)’ ye göre ise pozitif bileşenlerine ayrılmış döviz kuru ve TÜFE arasında karşılıklı olarak saklı eşbütünleşme ilişkisinin varlığını ortaya koymuştur. Türkiye için uzun dönemde TÜFE’de meydana gelen %1’lik bir artış döviz kurunu %2.24 artırırken; döviz kurunda meydana gelen %1’lik bir artış ise TÜFE’ de %0.44 artış meydana getirmektedir.
First report of the genus Liara (Orthoptera: Tettigoniidae: Conocephalinae: Agraeciini) from Guangxi, China with description of two new species
Authors: BIAN XUN , ZHANG QIANWEN , LI SHAN
Published: October 2022

Based on specimens collected in 2022 and housed in the Guangxi Normal University the genus Liara is recorded from Guangxi Zhuang Autonomous Region for the first time. Two new species are described: Liara (Acanthocoryphus) axinis sp. nov. (Chinese name: 斧尾雅螽) and Liara (Liara) guangxiensis sp. nov. (Chinese name: 广西雅螽). We provide the morphological photographs of male phallus of Liara (Liara) shii Liu & Bian, 2021.