bluuebunny/crossref_metadata_2025 huggingface dataset:
Grey Blight Disease Detection on Tea Leaves Using Improved Deep Convolutional Neural Network
Authors: Pandian J. Arun , Nisha Sam Nirmala , Kanchanadevi K. , Pandey Abhay K. , Rima Samira Kabir
Published: January 2023

We proposed a novel deep convolutional neural network (DCNN) using inverted residuals and linear bottleneck layers for diagnosing grey blight disease on tea leaves. The proposed DCNN consists of three bottleneck blocks, two pairs of convolutional (Conv) layers, and three dense layers. The bottleneck blocks contain depthwise, standard, and linear convolution layers. A single‐lens reflex digital image camera was used to collect 1320 images of tea leaves from the North Bengal region of India for preparing the tea grey blight disease dataset. The nongrey blight diseased tea leaf images in the dataset were categorized into two subclasses, such as healthy and other diseased leaves. Image transformation techniques such as principal component analysis (PCA) color, random rotations, random shifts, random flips, resizing, and rescaling were used to generate augmented images of tea leaves. The augmentation techniques enhanced the dataset size from 1320 images to 5280 images. The proposed DCNN model was trained and validated on 5016 images of healthy, grey blight infected, and other diseased tea leaves. The classification performance of the proposed and existing state‐of‐the‐art techniques were tested using 264 tea leaf images. Classification accuracy, precision, recall, F measure, and misclassification rates of the proposed DCNN are 98.99%, 98.51%, 98.48%, 98.49%, and 1.01%, respectively, on test data. The test results show that the proposed DCNN model performed superior to the existing techniques for tea grey blight disease detection.
ICU-Managed Patients’ Epidemiology, Characteristics, and Outcomes: A Retrospective Single-Center Study
Authors: Bashir Ahmed Muhammad , Osman Marian Muse , Mohamed Hawa Nuradin , Hilowle Ifrah Adan , Ahmed Halima Abdulkadir , Osman Abdirahman Abdikadir , Fiidow Osman Abubakar
Published: January 2023

Background. Resources are limited, and it is exceedingly difficult to provide intensive care in developing nations. In Somalia, intensive care unit (ICU) care was introduced only a few years ago. Purpose. In this study, we aimed to determine the epidemiology, characteristics, and outcome of ICU-managed patients in a tertiary hospital in Mogadishu. Methods. We retrospectively evaluated the files of 1082 patients admitted to our ICU during the year 2021. Results. The majority (39.7%) of the patients were adults (aged between 20 and 39 years), and 67.8% were male patients. The median ICU length of stay was three days (IQR = 5 days), and nonsurvivors had shorter stays, one day. The mortality rate was 45.1%. The demand for critical care services in low-income countries is high. Conclusion. The country has a very low ICU bed capacity. Critical care remains a neglected area of health service delivery in this setting, with large numbers of patients with potentially treatable conditions not having access to such services.
Incorporating Alternative Polygenic Risk Scores into the BOADICEA Breast Cancer Risk Prediction Model
Authors: Mavaddat Nasim , Ficorella Lorenzo , Carver Tim , Lee Andrew , Cunningham Alex P. , Lush Michael , Dennis Joe , Tischkowitz Marc , Downes Kate , Hu Donglei , Hahnen Eric , Schmutzler Rita K. , Stockley Tracy L. , Downs Gregory S. , Zhang Tong , Chiarelli Anna M. , Bojesen Stig E. , Liu Cong , Chung Wendy K. , Pardo Monica , Feliubadaló Lidia , Balmaña Judith , Simard Jacques , Antoniou Antonis C. , Easton Douglas F.
Published: January 2023

Background:

The multifactorial risk prediction model BOADICEA enables identification of women at higher or lower risk of developing breast cancer. BOADICEA models genetic susceptibility in terms of the effects of rare variants in breast cancer susceptibility genes and a polygenic component, decomposed into an unmeasured and a measured component - the polygenic risk score (PRS). The current version was developed using a 313 SNP PRS. Here, we evaluated approaches to incorporating this PRS and alternative PRS in BOADICEA.

Methods:

The mean, SD, and proportion of the overall polygenic component explained by the PRS (α2) need to be estimated. α was estimated using logistic regression, where the age-specific log-OR is constrained to be a function of the age-dependent polygenic relative risk in BOADICEA; and using a retrospective likelihood (RL) approach that models, in addition, the unmeasured polygenic component.

Results:

Parameters were computed for 11 PRS, including 6 variations of the 313 SNP PRS used in clinical trials and implementation studies. The logistic regression approach underestimates α, as compared with the RL estimates. The RL α estimates were very close to those obtained by assuming proportionality to the OR per 1 SD, with the constant of proportionality estimated using the 313 SNP PRS. Small variations in the SNPs included in the PRS can lead to large differences in the mean.

Conclusions:

BOADICEA can be readily adapted to different PRS in a manner that maintains consistency of the model.

Impact:

The methods described facilitate comprehensive breast cancer risk assessment.
Stability of the Fecal and Oral Microbiome over 2 Years at −80°C for Multiple Collection Methods
Authors: Zouiouich Semi , Byrd Doratha A. , Hua Xing , Karwa Smriti , Wan Yunhu , Shi Jianxin , Humphrey Gregory C. , Ackermann Gail L. , Knight Rob , Abnet Christian C. , Vogtmann Emily , Sinha Rashmi
Published: January 2023

Background:

In prospective cohorts, biological samples are generally stored over long periods before an adequate number of cases have accrued. We investigated the impact of sample storage at −80°C for 2 years on the stability of the V4 region of the 16S rRNA gene across seven different collection methods (i.e., no additive, 95% ethanol, RNAlater stabilization solution, fecal occult blood test cards, and fecal immunochemical test tubes for feces; OMNIgene ORAL tubes and Scope mouthwash for saliva) among 51 healthy volunteers.

Methods:

Intraclass correlation coefficients (ICC) were calculated for the relative abundance of the top three phyla, the 20 most abundant genera, three alpha-diversity metrics, and the first principal coordinates of three beta-diversity matrices.

Results:

The subject variability was much higher than the variability introduced by the sample collection type, and storage time. For fecal samples, microbial stability over 2 years was high across collection methods (range, ICCs = 0.70–0.99), except for the samples collected with no additive (range, ICCs = 0.23–0.83). For oral samples, most microbiome diversity measures were stable over time with ICCs above 0.74; however, ICCs for the samples collected with Scope mouthwash were lower for two alpha-diversity measures, Faith's phylogenetic diversity (0.23) and the observed number of operational taxonomic units (0.23).

Conclusions:

Fecal and oral samples in most used collection methods are stable for microbiome analyses after 2 years at −80°C, except for fecal samples with no additive.

Impact:

This study provides evidence that samples stored for an extended period from prospective studies are useful for microbiome analyses.
Liquid Biopsy of Cerebrospinal Fluid Enables Selective Profiling of Glioma Molecular Subtypes at First Clinical Presentation
Authors: Orzan Francesca , De Bacco Francesca , Lazzarini Elisabetta , Crisafulli Giovanni , Gasparini Alessandra , Dipasquale Angelo , Barault Ludovic , Macagno Marco , Persico Pasquale , Pessina Federico , Bono Beatrice , Giordano Laura , Zeppa Pietro , Melcarne Antonio , Cassoni Paola , Garbossa Diego , Santoro Armando , Comoglio Paolo M. , Indraccolo Stefano , Simonelli Matteo , Boccaccio Carla
Published: January 2023

Purpose:

Current glioma diagnostic guidelines call for molecular profiling to stratify patients into prognostic and treatment subgroups. In case the tumor tissue is inaccessible, cerebrospinal fluid (CSF) has been proposed as a reliable tumor DNA source for liquid biopsy. We prospectively investigated the use of CSF for molecular characterization of newly diagnosed gliomas.

Experimental Design:

We recruited two cohorts of newly diagnosed patients with glioma, one (n = 45) providing CSF collected in proximity of the tumor, the other (n = 39) CSF collected by lumbar puncture (LP). Both cohorts provided tumor tissues by surgery concomitant with CSF sampling. DNA samples retrieved from CSF and matched tumors were systematically characterized and compared by comprehensive (NGS, next-generation sequencing) or targeted (ddPCR, droplet digital PCR) methodologies. Conventional and molecular diagnosis outcomes were compared.

Results:

We report that tumor DNA is abundant in CSF close to the tumor, but scanty and mostly below NGS sensitivity threshold in CSF from LP. Indeed, tumor DNA is mostly released by cells invading liquoral spaces, generating a gradient that attenuates by departing from the tumor. Nevertheless, in >60% of LP CSF samples, tumor DNA is sufficient to assess a selected panel of genetic alterations (IDH and TERT promoter mutations, EGFR amplification, CDKN2A/B deletion: ITEC protocol) and MGMT methylation that, combined with imaging, enable tissue-agnostic identification of main glioma molecular subtypes.

Conclusions:

This study shows potentialities and limitations of CSF liquid biopsy in achieving molecular characterization of gliomas at first clinical presentation and proposes a protocol to maximize diagnostic information retrievable from CSF DNA.
Report on a Case with Moreno-Nishimura-Schmidt Overgrowth Syndrome: A Clinically Delineated Disease Yet of an Unknown Origin!
Authors: Mehawej Cybel , Chouery Eliane , Al Hage Chehade Ghada , Bejaoui Yosra , Mahfoud Daniel , Gerges Maya , Delague Valérie , El Hajj Nady , Megarbane Andre
Published: January 2023

Introduction: Overgrowth syndromes are a heterogeneous group of genetic disorders characterized by excessive growth, often accompanied by additional clinical features, such as facial dysmorphism, hormonal imbalances, cognitive impairment, and increased risk for neoplasia. Moreno-Nishimura-Schmidt (M-N-S) overgrowth syndrome is a very rare overgrowth syndrome characterized by severe pre- and postnatal overgrowth, dysmorphic facial features, kyphoscoliosis, large hands and feet, inguinal hernia, and distinctive skeletal features. The clinical and radiological features of the disorder have been well delineated, yet its molecular pathogenesis remains unclear. Case Presentation: We report on a Lebanese boy with M-N-S syndrome, whose clinical manifestations were compared with those of previously reported 5 affected individuals. Whole-exome sequencing combined with comparative genome hybridization analysis failed to delineate the molecular basis of the phenotype. However, epigenetic studies revealed a different methylation status of several CpG sites between him and healthy controls, with methyltransferase activity showing the most significant enrichment. Conclusion: An additional case of M-N-S syndrome recapitulated the clinical and radiological manifestations described in the previous reports. The data in the epigenetic studies implicated that abnormal methylations might play an essential role in development of the disease phenotype. However, additional studies in a clinically homogeneous cohort of patients are crucial to confirm this hypothesis.
Age-Dependent Effects of Acute Kidney Injury on End-Stage Kidney Disease and Mortality in Patients with Moderate to Severe Chronic Kidney Disease
Authors: Chou Yu-Hsiang , Lai Tai-Shuan , Lin Yi-Chih , Chiang Wen-Chih , Chu Tzong-Shinn , Lin Shuei-Liong , Chen Yung-Ming
Published: January 2023

Introduction: Old age has been considered as a positive modifier of chronic kidney disease (CKD), but the progression of CKD is often accelerated by acute kidney injury (AKI) in older adults. This study aimed to investigate this paradoxical interplay and identify age-specific predictors of end-stage kidney disease (ESKD). Methods: This retrospective cohort included 6,101 patients with CKD stage 3B-5 followed at a single center during 2005–2018. Participants were stratified into four age groups to explore age-dependent influences on the risk of ESKD and all-cause mortality. Multivariate Cox proportional hazard regression model with competing risk analysis was used to identify predictors of outcomes. Results: During a median follow-up of 2.68 years, 1,650 (27.0%) patients developed ESKD and 541 (8.9%) patients died. The rate of ESKD decreased with advancing age, being lowest in the very old-aged (>75 years) group who displayed the slowest rate of estimated glomerular filtration rate (eGFR) decline. Multivariate Cox proportional hazard regression adjusted for competing death showed that younger ages, compared with patients aged >75 years, together with AKI episodes and several traditional risk factors were identified as predictors for ESKD. The impact of AKI episodes on ESKD development was most prominent in patients aged >75 years. These results were confirmed with subgroup analyses in patients with outcomes of different ages. Conclusion: Older adults with CKD exhibited a slower decline rate of eGFR, yet they were more likely to develop ESKD following AKI episodes. These results suggest tackling AKI is needed to prevent accelerated initiation of renal replacement therapy in elderly patients with pre-existing CKD.
Increased Spleen Volume in Hepatocellular Carcinoma Patients Treated with Atezolizumab plus Bevacizumab in Comparison to Lenvatinib: A Retrospective Analysis
Authors: Hatanaka Takeshi , Naganuma Atsushi , Furusawa Ai , Tamura Yuki , Saito Naoto , Suzuki Yuhei , Hoshino Takashi , Yata Yutaka , Uraoka Toshio , Kakizaki Satoru
Published: January 2023

Introduction: We previously reported 2 cases of esophageal varices rupture during atezolizumab and bevacizumab (Atez/Bev) treatment, in which the spleen volume gradually increased. The aim of this retrospective study is to compare the chronological change in spleen volume of patients treated with Atez/Bev and lenvatinib (LEN). Methods: Seventy-two patients (Atez/Bev group, n = 26; LEN group, n = 46) were included in this retrospective study. The splenic parenchyma area was measured based on CT imaging. We used mixed-effect regression models with random intercepts to test the difference in the rate of change in spleen volume between the Atez/Bev and LEN groups. Results: The median age of the Atez/Bev and LEN groups was 74.0 (71.0–82.0) and 72.0 (67.5–76.0), respectively. About 80% patients were male. The mALBI grade was classified as 1, 2a, 2b, and 3 in 10 (38.5%), 6 (23.1%), 10 (38.5%), and zero (0.0%) patients, respectively, in the Atez/Bev group and 21 (45.7%), 9 (19.6%), 15 (32.6%), and 1 (2.2%) patient in the LEN group (p = 0.9). The median baseline neutrophil-to-lymphocyte ratio (NLR) was 2.61 (1.80–3.41) in the Atez/Bev group and 2.71 (1.76–3.67) in the LEN group (p = 1.0). The median baseline spleen volume was 185 (132–246) cm3 in the Atez/Bev group and 231 (150–355) cm3 in the LEN group. The spleen volume gradually increased during Atez/Bev treatment (2.41 cm3 per week), while it was mostly consistent during LEN treatment (0.32 cm3 per week). Among patients with mALBI grade 2b or 3, the spleen volume increased in the Atez/Bev group (2.99 cm3 per week) and slightly decreased in the LEN group (0.82 cm3 per week), without statistical significance (p = 0.07). Among patients with a baseline NLR of >2.68, the spleen volume increased at a rate of 2.57 cm3 per week in the Atez/Bev group and decreased at a rate of 1.18 cm3 per week in the LEN group. The difference in the slope of the two groups was statistically significant (p = 0.04). Discussion/Conclusion: Atez/Bev treatment could result in an increased spleen volume. Caution is required when managing patients treated with Atez/Bev, especially those with a high NLR.
Raised Thyroid-Stimulating Hormone in Girls with Polycystic Ovary Syndrome: Effects of Randomized Interventions
Authors: Garcia-Beltran Cristina , Bassols Judit , Carreras-Badosa Gemma , López Bermejo Abel , Ibáñez Lourdes , de Zegher Francis
Published: January 2023

Introduction: Polycystic ovary syndrome (PCOS) in women associates with raised levels of circulating thyroid-stimulating hormone (TSH) and with high rates of gestational complications. A low range of preconception TSH is followed by low rates of gestational complications. It is unknown whether TSH levels are elevated in adolescents with PCOS and, if so, whether traditional or exploratory treatments can lower them into safe preconception range. We investigated TSH in nonobese adolescents with PCOS, including the effects of randomized interventions. Methods: Morning TSH was a safety marker in randomized pilot studies comparing the effects of an oral contraceptive (OC) versus those of a low-dose combination of spironolactone-pioglitazone-metformin (SPIOMET) in nonobese adolescents with PCOS. A post hoc analysis compared TSH levels in PCOS (N = 62) versus controls, TSH changes on treatment (for 1 year), and TSH levels posttreatment (for 1 year). Results: Mean TSH levels were higher in PCOS patients than in control girls (p < 0.01). On-treatment TSH levels diverged (p < 0.001), remaining elevated on OC, and descending swiftly on SPIOMET, well into safe preconception range. Posttreatment TSH levels were stable in both subgroups. On-treatment changes of circulating TSH associated to those of liver fat (R = 0.307, p = 0.017). Conclusion: The endocrine signature of early PCOS is herewith extended to include modestly raised levels of circulating TSH; the normalizing effects of SPIOMET intervention in nonobese adolescents with PCOS are herewith extended to include on- and posttreatment TSH.
Impact of Weight Gain on the Subsequent Survival of New Peritoneal Dialysis Patients
Authors: Than Win Hlaing , Ng Jack Kit-Chung , Chan Gordon Chun-Kau , Fung Winston Wing-Shing , Chow Kai-Ming , Szeto Cheuk-Chun
Published: January 2023

Introduction: Obesity at the initiation of dialysis was reported to adversely affect the clinical outcome of peritoneal dialysis (PD) patients, and weight gain is common after started on PD. However, there are few studies on the prognostic implications of weight gain after PD. Methods: We reviewed the change in body weight of 954 consecutive patients during the first 2 years of PD in a single Hong Kong center. Their subsequent clinical outcomes, including patient and technique survival rates, hospitalization, and peritonitis rates, were analyzed. Results: The mean age was 60.3 ± 12.2 years; 535 patients (56.1%) were men, and 504 (52.8%) had diabetes. From 1995–1999 to 2015–2019, the percentage of body weight gain during the first 2 years of PD was 1.0 ± 7.9%, 1.6 ± 7.1%, 1.6 ± 7.2%, 3.9 ± 9.5%, and 4.0 ± 10.3% for each 5-year period, respectively (p for linearity <0.0001). The subsequent 5-year patient survival rates were 29.9%, 43.3%, 40.5%, 43.6%, and 43.3% for patients with weight loss >5%, weight loss 2–5%, weight change with ±2%, weight gain 2–5%, and weight gain >5% during the first 2 years on PD, respectively (log-rank test, p = 0.035). With multivariable Cox regression model to adjust for clinical confounders, weight loss >5% during the first 2 years of PD was associated with a worse patient survival rate subsequently (adjusted hazard ratio 4.118, 95% confidence interval 1.040–16.313, p = 0.044), while weight gain was not associated with subsequent patient survival. Weight change during the first 2 years of PD does not appear to affect subsequent technique survival, hospitalization, decline in residual renal function, or peritonitis rate. Discussion and Conclusions: Weight gain is common during the first 2 years of PD, but weight gain does not appear to have any significant impact on the subsequent outcome. In contrast, weight loss >5% was significantly associated with worse patient survival subsequently.
A new robust SIDA-PBC approach to control a DFIG
Authors: Hichem Hamiani , Abderrazak Tadjeddine Ali , Iliace Arbaoui , Bendelhoum Mohammed Sofiane , Abdelkrim Benali
Published: January 2023

Credible control and overall stabilization of closed-loop nonlinear systems presented in a port-controlled hamiltonian structure (PCH-D) were forever the development of the simultaneous interconnection and damping assignment passivity-based control (SIDA-PBC) method. The robustness and reliability of the method called into question against noise and certainly modelling errors. Indeed, a new scheme has been presented to control a doubly fed induction generator (DFIG) based on the energy form and exploiting the electrical parameters of the closed loop system. The results obtained provide a new technique and implement more freedom when designing the diagram of the advanced controller during the production of active power. The contribution of this paper is researching on the advanced nonlinear methodes used, many simulations were carried out in simulation using the MATLAB/Simulink environment under important operating conditions, allowing to demonstrate the feasibility of the proposed method and verify the performance considering the robustness.
A heuristic optimization approach for the scheduling home appliances
Authors: Jasim Basil H. , AL-Aaragee Anwer Mossa , Alawsi Ahmed Abdulmahdi Abdulkareem , Dakhil Adel M.
Published: January 2023

In order to develop and execute a demand response (DR) system for a household energy management system, an effective and adaptable energy management architecture is provided in this study. Several issues related to the current home energy management system (HEMS) are among those that do not give their consumers a choice to assure user comfort (UC) or a long-term answer to lowered carbon emissions. Our research suggests a programmable heuristic-based energy management controller (HPEMC) to manage a residential building in order to minimize power costs, reduce carbon emissions, increase UC, and lower the peak-to-average ratio (PAR). In this study, the demand-responsive appliance scheduling problem is solved using an energy management system to reduce the cost and a PAR. Numerous case studies have been used to demonstrate the viability of the suggested method. The simulation results confirmed the effectiveness of the proposed method and that it is capable of running a hybrid microgrid in various modes. The findings indicate that the proposed schedule controller saved 25.98% of energy.
Improve steganography system using agents software based on statistical and classification technique
Authors: Jasim Halboos Estabraq Hussein , Albakry Abbas M.
Published: January 2023

In digital communications, information security is a paramount necessity. In the hiding algorithm, there are three basic parameters: security, capacity, and imperceptibility. Therefore, there are many ways to design the steganography algorithm, such as least significant bit (LSB), discrete wave transformation (DWT), and discrete cosine transform (DCT). The aim of this paper is to improve agent software design based on a steganography system. It proposed an agent system based on a support vector machine (SVM) classifier to hide a secret message in a certain cover image. The common dataset for steganography uses 80% training and 20% testing to get accurate results. Developing an agent system depends on six statistical parameters such as energy, standard deviation, histogram, variance, mean, and entropy. This resulted in features classified by the SVM classifier to predict the best cover image to be nominated for embedding. Worthy results were obtained in terms of imperceptibility, attack, and cover image prediction by statistical issues.
Loss reduction of transmission lines using PSO-based optimum performance of UPFC
Authors: Hussein Shaimaa A. , Mahmood Dhari Yousif , Numan Ali Hussein
Published: January 2023

Transmission line losses are one of the essential topics and issues in power systems research. Several methods and techniques have been used to reduce these losses, and one of these modern techniques is flexible alternating current transmission systems (FACTS). In this paper, one of the most important types of this technology, the unified power flow controller (UPFC), was used to reduce losses in the Iraqi national grid (ING) 400 kV. This paper presents an efficient method for minimizing losses of transmission lines in the ING system (400 kV) 46-bus approach. A particle swarm optimization (PSO)-based optimum proportional-integral (PI) controller with UPFC was proposed to obtain the optimal location of UPFC and optimum parameters of the PI controller to achieve the objective function of the research. MATLAB coded the algorithm. The Newton-Raphson method was employed to perform load flow analysis. The results showed that the best place for UPFC is buses (14-17) named BGE4 (Baghdad)-AMN4 (Baghdad), and the total active power and reactive power losses decreased from 727.4593 to 579.3874 MW and from 5155.9 to 3971.1 MVAR, respectively and also led to voltage regulation.
Noise estimation using an artificial neural network in the urban area of Jaen, Cajamarca
Authors: Díaz Wendy , Tarrillo Anali , Ocaña Candy , Quiñones Lenin
Published: January 2023

Jaen is a city in constant urban growth which generates an increase in vehicular traffic and active noise pollution. The research presents the development of an artificial neural network (ANN) to estimate the noise produced by vehicular traffic in the urban area of the city. Consequently, information was collected from two investigations coded as T1 and T2, for which a matrix of 10 variables was elaborated with 210 and 273 data respectively. Random random sampling was performed to divide the data matrix into 80% (training) and 20% (validation). Weka software and the multi-layer perceptron (MLP) training algorithm were used to model the ANN. An ANN for T1 with 6-19-1 architecture and an ANN for T2 with 6-15-1 architecture were obtained. The performance of the ANNs was evaluated using the correlation coefficient (R), coefficient of determination (R2) and root mean square error (RMSE). The results show that the MLP networks are able to estimate the sound pressure level with values of R=0.9927, R2=0.9854 and RMSE=0.7313 for T1, R=0.9989, R2=0.9978, and RMSE=0.1515 for T2.
Minimizing electricity cost by optimal location and power of battery energy storage system using wild geese algorithm
Authors: Nguyen Thuan Thanh , Nguyen Thang Trung , Nguyen Trung Dung
Published: January 2023

The mismatch between load demand and supply power may increase when distributed generation based on renewable energy sources is connected to the distribution system (DS). This paper shows the optimal battery energy storage system (BESS) placement problem on the DS to minimize the electricity cost. Diverse electricity prices are considered for normal, off-peak and peak hours in a day. Wild geese algorithm (WGA) is applied to optimize the location and power of the BESS. The problem and the efficiency of WGA is validated on the 18-bus DS four scenarios consisting of the DS without BESS placement, the DS with BESS placement, the DS existing photovoltaic system (PVS) without BESS placement and the DS existing PVS with BESS placement. The numerical results show that optimal BESS placement is an effective solution for minimizing electricity cost on the DS with and without PVS. In addition, the results have also shown that WGA is a potential method for the BESS placement problem.
Prospects for developing digital telecommunication complexes for storing and analyzing media data
Authors: Kuklin Vladimir , Alexandrov Islam , Polezhaev Dmitry , Tatarkanov Aslan
Published: January 2023

In today's digital world, saturated with data flows, universal multifunctional systems are developing, capable of solving various problems related to optimizing the use of available computing resources. A distinctive feature of such systems is the heterogeneity of incoming flows of user requests due to the multifunctionality of modern information systems, expressed in supporting various multimedia services on a single platform. Data heterogeneity and large volumes of data create many problems related to the speed of digital systems and data storage security. The solutions can be found in artificial intelligence (AI) technologies, particularly machine learning. Therefore, development and implementation of digital telecommunication complexes for storing, processing, and forming a dynamic flow of multiformat data using AI technologies are becoming more relevant. This paper aims to identify trends and prospects for developing these complexes, and develop proposals on their perspective characteristics. The authors focused on review the experience of Russian organizations developing multi-object analytics systems and analyze the technical and functional characteristics of existing systems. The result of the review and analysis is a table with a comparison of the technical characteristics of existing complexes and proposals for characteristics that are promising for further implementation.
Auto-correction of multiple spatial conflicts in multimedia authoring tools
Authors: Wijaya Marvin Chandra , Maksom Zulisman , Abdullah Muhammad Haziq Lim
Published: January 2023

Multimedia authoring tool serves to facilitate an author to create multimedia presentations. Multimedia authoring tool will convert the multimedia presentation into a document. Mobile devices with different screen sizes that can cause visual media to overlap are called Spatio-temporal conflict. The process in the multimedia authoring tool involves a Spatio-temporal verification process to detect Spatio-temporal conflicts. This study proposes a method for correcting the conflict using a conflict region detection process, Spatio-temporal verification, and auto-correction. The auto-correction method uses two stages of area relocation for vertical conflict and horizontal conflict. The two stages are repeated for the ability to correct up to four conflicting regions. Visual media objects such as overlapping images and videos were successfully separated into non-overlapping media objects. The proposed method succeeded in separating the four media objects that were previously overlapping.
Blue-yellow emissive LaAlO3:Dy3+ phosphor for high bright white light-emitting diodes
Authors: Tung Ha Thanh , Dang Huu Phuc
Published: January 2023

LaAlO3:Dy3+ (LAO:Dy3+) with blue-yellow emission for brilliant white light of light-emitting diodes (LEDs) was prepared using gel-combustion process. The chemical content of the created material was confirmed using energy dispersive X-ray analysis (EDX). The transmission electron microscopy was used to examine the phosphor crystal size and morphology. The luminescence analysis showed that LAO:Dy3+ phosphors exhibited peaks at 482 nm (blue) and 574 nm (yellow), attributed to the transitions 4F 9/2à6H 15/2 and 4F 9/2à6H 13/2, respectively. The investigating of correlated color temperature (CCT) and Commission International de L'Eclairage (CIE) described that the phosphor LAO:Dy3+ helped to attained good CCT coordination and bright cool-white emission under ultraviolet (UV) stimulation. However, when using in white LED fabrication, the concentration of LAO:Dy3+ should be modified to fulfill the need from manufactures. According to results from this work, the white light luminescence intensity and color rendering performance may be reduced if the LAO:Dy3+ is high (10%) because of too much scattering. On the other hand, such scattering improvements offered by LAO:Dy3+ phosphor is beneficial to reduce the color deviance for better color uniformity of light.
Classification of potatoes according to their cultivated field by SVM and KNN approaches using an electronic nose
Authors: Amkor Ali , El Barbri Noureddine
Published: January 2023

In this article, we propose a homemade electronic nose to distinguish between two types of potatoes: the first type is traditionally treated with donkey and sheep manure, and the other type is treated with chicken manure. The proposed tool consists of a network of commercial metal oxide sensors, a data acquisition card, and a personal computer for data pre-processing and processing. Two methods were used, namely, support vector machines (SVM) and k-nearest neighbors (KNN) with 5-fold cross-validation and which achieved the same success rate of 97.5%. These results demonstrate that our concept, which is quick, simple, and inexpensive, can discriminate between potatoes based on the method of fertilization used in the field.
Simulation of SDN in mininet and detection of DDoS attack using machine learning
Authors: Karthika P. , Arockiasamy Karmel
Published: January 2023

Most contemporary businesses are embracing software defined networking (SDN), a developing architecture that enables an aerial-like perspective of the entire network. SDN operates by virtualizing the network and provides advantages including improved performance, visibility, speed, and scalability. SDN attempts to divide the network control plane from the forwarding plane. The control plane, which includes one or more controllers and incorporates complete intelligence, is thought of as the brain of the SDN. However, SDN has challenges with controller vulnerability, flexibility, and hardware security. But distributed denial of service (DDoS) assaults constitutes a serious threat to the SDN. Transmission control protocol-synchronized (TCP-SYN) floods, a common cyberattack that can harm SDNs, can deplete network resources by opening an excessive number of illegitimate TCP connections. In this research, we provide an OpenFlow port statistic-based architecture for machine learning (ML) enabled TCP-SYN flood detection. This research showed that ML models like support vector machine (SVM), Navie Bayes, and multi-layered perceptron can distinguish between regular traffic and SYN flood traffic and can mitigate the impacts of the attacking node on the network. Results showed that the multilayered perceptron can classify the traffic with highest accuracy of 99.75% for the simulation dataset.
Temporal Trends in In-Hospital Outcomes Following Unprotected Left-Main Percutaneous Coronary Intervention: An Analysis of 14 522 Cases From British Cardiovascular Intervention Society Database 2009 to 2017
Authors: Kinnaird Tim , Gallagher Sean , Farooq Vasim , Protty Majd , Back Liam , Devlin Peadar , Anderson Richard , Sharp Andrew , Ludman Peter , Copt Samuel , Mamas Mamas A. , Curzen Nick
Published: January 2023

Background:

Percutaneous coronary intervention (PCI) is increasingly used as a treatment option for unprotected left main stem artery (unprotected left main stem percutaneous intervention) disease. However, whether patient outcomes have improved over time is uncertain.

Methods:

Using the United Kingdom national PCI database, we studied all patients undergoing unprotected left main stem percutaneous intervention between 2009 and 2017. We excluded patients who presented with ST-segment–elevation, cardiogenic shock, and with an emergency indication for PCI.

Results:

Between 2009 and 2017, in the study-indicated population, 14 522 unprotected left main stem percutaneous intervention procedures were performed. Significant temporal changes in baseline demographics were observed with increasing patient age and comorbid burden. Procedural complexity increased over time, with the number of vessels treated, bifurcation PCI, number of stents used, and use of intravascular imaging and rotational atherectomy increased significantly through the study period. After adjustment for baseline differences, there were significant temporal reductions in the occurrence of peri-procedural myocardial infarction (P<0.001 for trend), in-hospital major adverse cardiac or cerebrovascular events (P<0.001 for trend), and acute procedural complications (P<0.001 for trend). In multivariable analysis examining the associates of in-hospital major adverse cardiac or cerebrovascular events, while age per year (odds ratio, 1.02 [95% CIs, 1.01–1.03]), female sex (odds ratio, 1.47 [1.19–1.82]), 3 or more stents (odds ratio, 1.67 [05% [1.02–2.67]), and patient comorbidity were associated with higher rates of in-hospital major adverse cardiac or cerebrovascular events, by contrast use of intravascular imaging (odds ratio, 0.56 [0.45–0.70]), and year of PCI (odds ratio, 0.63 [0.46–0.87]) were associated with lower rates of in-hospital major adverse cardiac or cerebrovascular events.

Conclusions:

Despite trends for increased patient and procedural complexity, in-hospital patient outcomes have improved after unprotected left main stem percutaneous intervention over time.
A New Era in Cardiac Rehabilitation Delivery: Research Gaps, Questions, Strategies, and Priorities
Authors: Beatty Alexis L. , Beckie Theresa M. , Dodson John , Goldstein Carly M. , Hughes Joel W. , Kraus William E. , Martin Seth S. , Olson Thomas P. , Pack Quinn R. , Stolp Haley , Thomas Randal J. , Wu Wen-Chih , Franklin Barry A.
Published: January 2023

Cardiac rehabilitation (CR) is a guideline-recommended, multidisciplinary program of exercise training, risk factor management, and psychosocial counseling for people with cardiovascular disease (CVD) that is beneficial but underused and with substantial disparities in referral, access, and participation. The emergence of new virtual and remote delivery models has the potential to improve access to and participation in CR and ultimately improve outcomes for people with CVD. Although data suggest that new delivery models for CR have safety and efficacy similar to traditional in-person CR, questions remain regarding which participants are most likely to benefit from these models, how and where such programs should be delivered, and their effect on outcomes in diverse populations. In this review, we describe important gaps in evidence, identify relevant research questions, and propose strategies for addressing them. We highlight 4 research priorities: (1) including diverse populations in all CR research; (2) leveraging implementation methodologies to enhance equitable delivery of CR; (3) clarifying which populations are most likely to benefit from virtual and remote CR; and (4) comparing traditional in-person CR with virtual and remote CR in diverse populations using multicenter studies of important clinical, psychosocial, and cost-effectiveness outcomes that are relevant to patients, caregivers, providers, health systems, and payors. By framing these important questions, we hope to advance toward a goal of delivering high-quality CR to as many people as possible to improve outcomes in those with CVD.
In-Habitant: An Inquiry into a Non-Dualistic Duality of Human and Nonhuman
Authors: Tasa Umut
Published: January 2023

In-Habitant is an art and life project based on artist Umut Tasa’s decadelong encounters with urban wildlife. It is a quest to utilize art as a research method to contemplate her memories, nature discoveries, audiovisual records, and archive of haiku and prose through a body of artworks. These artworks bring together the corporeality of nonhumans with their digital re-presentation and literary text with creative coding. The author inquires into dualistic and nondualistic ontological approaches to human-nonhuman relations in urban settings.
Neither Fish, Nor Fowl
Authors: Linderfalk Ulf
Published: January 2023

International lawyers ascribe to the lex specialis principle three distinctly different meanings. Thus, lex specialis is referred to, first, as a norm designed to resolve conflicts between entire categories of norms; secondly, as a norm designed to resolve conflicts on a case-by-case basis; and, thirdly, as a rule of interpretation designed to avoid the occurrence of normative conflicts, rather than to resolve them. Scholars have attempted to explain this divergent use of legal language. In so doing, they have consistently had their focus on the different mind-sets or inclinations of lawyers active in different branches of international law. Symptomatic is Marko Milanović, who pictured the divergent use of lex specialis as a reflection of a debate waged between “human rights enthusiasts” and “human rights sceptics”. This article approaches the issue at a different level of abstraction. As it argues, the divergent use of lex specialis is the result of users’ different conceptions of an international legal system. Thus, lawyers conceive differently of the lex specialis principle, depending on whether they take the position of a legal positivist, a legal idealist or a legal realist. In no case are lawyers equipped to conceive of this principle in all of its three senses.
Serbo-Croatian as a Language of Sephardic Literature: The Cases of Isak Samokovlija and Jacques Confino
Authors: Oparnica Željka
Published: January 2023

The early twentieth century saw a rise in Jewish writers in what is traditionally considered non-Jewish languages in the Balkans like in the rest of Europe. In light of this phenomenon’s significance, we pose the question why and how Serbo-Croatian became a language of Sephardic literature. The article questions the accepted narrative of ‘linguistic acculturation’ of Sephardic Jews in the Balkans and unearths the complex cultural, but also political background of this Jewish phenomenon using the examples of two prolific, recognized, and celebrated writers of Sephardic background, Isak Samokovlija and Jacques Confino. Through historicization of Sephardic multilingualism in Serbia and in Bosnia and Herzegovina from the 1890s to the 1920s, it argues that the adoption of Serbo-Croatian was motivated equally, if not dominantly, by Jewish political aims in the region rather than the pressures of emancipation only. Samokovlija and Confino’s biographies and cultural choices, therefore, illuminate an unlikely Sephardic history.
(Un)spoken Histories: The Second World War and Yugoslav Jewish Women
Authors: Taczyńska Katarzyna
Published: January 2023

The article discusses the experiences of Yugoslav Jewish women during the Second World War and the Holocaust. It presents little known texts (fictional, paraliterary and documentary works) written by Jewish women (Hilda Dajč, Elvira Kohn, Lea Abinun, Ženi Lebl, and Gina Camhy), one non-Jewish woman (Milojka Mezorana), and one Jewish man (Đorđe Lebović), during or after the Second World War. The main aim of the analysis is to draw attention to the specificity of Jewish women’s narratives in the (post-)Yugoslav cultural space, the contextual framework in which they function, and the risk of their mis- or overinterpretation. The analysis presents also the spectrum of possible readings of texts created during or thematizing the Second World War which are either written by or refer to Jewish women—a group which remained unduly marginalized in the official memory of the Second World War and its aftermath.
Updating the taxonomy, phylogeny and biogeography of the aberrant genus Coenosopsia Malloch (Diptera: Anthomyiidae)
Authors: Gomes Lucas Roberto Pereira , de Carvalho Claudio José Barros
Published: January 2023

Coenosopsia Malloch has eight known species distributed from southern North America to south-eastern South America. The species of the genus are morphologically very homogeneous, and major differences remain in male terminalia. Remarkably, two of the main diagnostic characteristics of Anthomyiidae are absent in this genus: the setulae on the ventral surface of the scutellum and vein A1 reaching the wing margin. Some studies have attempted to propose biogeographical narratives, primarily for the Neotropical distribution of the genus. Herein, we describe three new species of Coenosopsia from north-eastern Brazil (Coenosopsia limeirai sp. nov.), southern Brazil (Coenosopsia ribeiroi sp. nov.), and central Mexico (Coenosopsia azteca sp. nov.) and present an identification key. In addition, we present an updated phylogenetic analysis based on morphological evidence, which recovered Coenosopsia as monophyletic based on five synapomorphies and four homoplasies. We also presented the first biogeographical hypothesis of Coenosopsia based on biogeographic methods (ancestral reconstruction character and S-DIVA analyses), which indicated a Mesoamerican origin of the genus.
Mark the Words: Early Music’s Representation in Writing
Authors: Blankenborg Ronald
Published: January 2023

This paper argues for the interpretation of the words on Basel BS 415 as the markers not only of the song’s content, but equally of its musical notation. Predating such notation, the inscribed syllables reflect language’s priority over music, as opposed to the later reversal of these priorities. On Basel BS 415, written words’ orthography sufficed as an indication of the syllables’ prosodic qualities that enabled musical accompaniment to follow the lead of verbal rhythm and melody. As later reform likely championed the opposite, orthography gradually gave way to specialised musical signs and notation to account for the music that was to be the frame within which sung language was to be fitted. Basel BS 415, I will argue, conforms to the practice of representing song through sung words as evidenced in metrical inscriptions of the archaic period.
“And hop from Riga to Krakow…”: (Un)traditional Polish Text in the Cycle of Poems “The Krakow Trumpeter“ by Sergey Moreino
Authors: Воронцова [Vorontsova] Кристина [Kristina]
Published: January 2023

This article focuses on the issue of so-called Polish text of Russian culture in the poetic cycle Krakovskiĭ trubach [The Krakow Trumpeter] (1989–1990) by Sergey Moreino, a Russian poet and translator, who currently lives in Latvia. Traditional semiotic patterns and national stereotypes which existed in Soviet culture (Poland as a Big Cemetery, Poland as a Big Border, Romantic Poland, etc.) had a long-term impact on post-Soviet literature. As it turns out, however, in the case of Sergei Moreino, who consciously kept distance from any Polonophilia moods of the 1960s and 70s, there emerged innovative ways of presenting Poland, and especially the urban space of Krakow.
Image of Lesia Ukrainka in the Modern Urban Cultural Space of Ukraine: On the Issue of Various Forms of Keeping the National Memory on the Way to European Integration
Authors: Kravchenko Yana , Nikolova Oleksandra
Published: January 2023

This article is devoted to determining the key trends in visual “modernization” of the image of the renowned Ukrainian writer and poetess Lesia Ukrainka in the urban cultural space of twenty-first-century Ukraine as a state that is going along its way to European integration. The study examines the peculiarities of transformation of her iconic figure under the conditions of changing value paradigms which reflect the significant processes of renovation in the society’s art and ideology. The analysis conducted indicates that it is the visual methods of “modernizing” her image that reflect the emergence of several social trends oriented at the average Ukrainian of the new generation – one who, in search of the form of self-identification, is willing to connect aesthetic and axiological categories of the past with the demands of the present, to connect national identity with European identity. The transformation of Lesia Ukrainka’s image in urban culture is realized, on the one hand, by means of symbolization and sacralization, and, on the other hand, by means of kitsch, play, breaking the axiological hierarchy (de-iconization), fetishization, simulacrization, and others.