bluuebunny/crossref_metadata_2025 huggingface dataset:
Association of Pulmonary Hypertension and Monoclonal Gammopathy of Undetermined Significance
Authors: Lyle Melissa A. , Bhatia Subir , Fenstad Eric , Schroeder Darrell , McCully Robert B. , Lacy Martha Q. , Feyereisn Wayne
Published: November 2022

Objective. To determine the prevalence of monoclonal gammopathy of undetermined significance (MGUS) in patients with PH as well as precapillary PH. Methods. Olmsted County residents with PH, diagnosed between 1/1/1995 and 9/30/2017, were identified, and age and sex were matched to a normal control group. The PH group and normal control group were then cross-referenced with the Mayo Clinic MGUS database. Charts were reviewed to verify MGUS and PH. Heart catheterization data were then analyzed in these patients for reference to the gold standard for diagnosis. Results. There were 3419 patients diagnosed with PH by echocardiography between 1995 and 2017 in Olmsted County that met the criteria of our study. When the PH group (N = 3313) was matched to a normal control group (3313), a diagnosis of MGUS was significantly associated with PH 10.2% (OR = l.84 [95% CI 1.5–2.2],

p
<
0.001

), compared with controls 5.8% based on echo diagnosis. Using heart catheterization data (484 patients), a diagnosis of MGUS was associated with PH 13.0% (OR = 3.94 [95% CI 2.28–6.82],

p
<
0.001

). For pulmonary artery hypertension (N = 222), a diagnosis of MGUS was associated with PH at similar 12.2% (OR = 4.50 [95%CI 1.86–10.90],

p
<
0.001

. Conclusions. There is a higher prevalence of MGUS in patients with PH and precapillary PH compared with normal controls. This association cannot be explained fully by other underlying diagnoses associated with PH. Assessing for this in patients with PH of unclear etiology may be reasonable in the workup of patients found to have PH.
A Computationally Constructed lncRNA-Associated Competing Triplet Network in Clear Cell Renal Cell Carcinoma
Authors: Zhang Hui , Ye Qing , Chen Zixiang , Zhao Chunyi , Wu Qian , Ding Yuting , Shao Qixiang , Zhao Yangjing
Published: November 2022

Long noncoding RNAs (lncRNAs) are revealed to be involved in the tumorigenesis and progression of human malignancies mediated by microRNA (miRNA) via the competing endogenous RNA (ceRNA) mechanism, a newly proposed “RNA language.” However, the lncRNA-associated competing triplet (lncACT) network among ceRNA transcripts in clear cell renal cell carcinoma (ccRCC) is currently lacking. We carried out differential expression analysis to identify aberrantly expressed lncRNAs, miRNAs, and mRNAs by analyzing the RNA-seq data of 420 ccRCC tissues and 71 noncancerous kidney tissues obtained from The Cancer Genome Atlas (TCGA). Then, a ccRCC-specific ceRNA network was built using computational algorithms, including miRcode, TargetScan, miRanda, and miRTarBase. In total, 1491 dysregulated lncRNAs were found between normal renal tissues and ccRCC (fold

change
>
4

and false discovery

rate
<
0.01

). A ceRNA network that comprised of 46 DElncRNAs, 11 DEmiRNAs, and 55 DEmRNAs was established by integrating the lncRNA/miRNA and miRNA/mRNA interactions into lncACTs. Several lncRNAs were identified to be significantly associated with clinical features of ccRCC patients. Notably, four key lncRNAs (TCL6, HOTTIP, HULC, and PCGEM1) were tightly correlated with both patients’ clinical characteristics and overall survival (log-rank

P
<
0.05

), indicating their potential important roles in ccRCC. HOTTIP may be a potential prognostic and therapeutic molecular marker for ccRCC patients. Collectively, our results provide a comprehensive view of the lncRNA-associated ceRNA regulatory network for a better understanding of the mechanisms and prognosis biomarkers for ccRCC.
Triptolide Inhibits the Biological Processes of HUVECs and HepG2 Cells via the Serine Palmitoyltransferase Long Chain Base Subunit 2/Sphingosine-1-Phosphate Signaling Pathway
Authors: Jia Lulu , Zhu Shengnan , Zhu Mingfei , Huang Lingyue , Xu Siyuan , Luo Yuqin , Xiao Juan , Su Huazhen , Huang Shaoyuan , Tan Qinyou
Published: November 2022

Triptolide (TP) has demonstrated innumerous biological effects and pharmacological potential against different cancer types. Hepatocellular carcinoma has a high incidence in men, and its incidence is increasing year by year. Studies have shown that angiogenesis plays an important role in the formation of tumors and that angiogenesis is closely related to tumor growth and metastasis. Deregulation of sphingolipids signaling has been associated with several pathological conditions, including cancer. In the present study, we aimed at exploring the potential molecular mechanism of TP’s antivascular and antitumor effects in vitro from the perspective of sphinolipids. Human umbilical vein endothelial cells (HUVECs) and HepG2 cells were, respectively, treated with different concentrations of TP and transfected. Then, the effect of HUVECs on HepG2 cells was investigated using a three-dimensional coculture model system. CCK-8 assay was performed for cell proliferation. Cell migration and invasion abilities were assessed using the transwell assay. Cell adhesion and tube formation were detected by Matrigel. RT-PCR and western blotting were used to detect the mRNA and protein expression. The S1P production was measured via ELISA assay. Our results showed that TP inhibited HUVECs and HepG2 cells proliferation, migration, invasion, adhesion, angiogenesis, and serine palmitoyltransferase long chain base subunit 2 (SPTLC2) expression; upregulating SPTLC2 facilitated the proliferation, migration, invasion, adhesion, angiogenesis, and sphingosine-1-phosphate (S1P) production of HUVECs and HepG2 cells, while interfering with SPTLC2 expression inhibited them; HUVECs facilitated the proliferation, migration, invasion, S1P production, S1PR1, and S1PR2 expression of HepG2 cells, while S1PR3 expression was decreased. In conclusion, SPTLC2 may be associated with the antivascular and antitumor effects of TP, and SPTLC2 is expected to become a new marker for tumor therapy. HUVECs can promote the proliferation, migration, and invasion of HepG2 cells, which may be related to the S1P/sphingosine-1-phosphate receptor (S1PR) signaling pathway.
Research on the Evolution Mechanism of Large Deformation of Expansive Loess Tunnel under Rainfall
Authors: Yan Qin , Li Yuan , Yuan Yang
Published: November 2022

Large deformation, collapse, and destruction of supporting structure occurred many times due to rainfall in Xiaohegou tunnel, which is located at Taixing Railway in Shanxi Province. In this paper, the Xiaohegou tunnel is taken as an example, and the large deformation numerical simulation method is used to reproduce the collapse process of the slope at the entrance and the internal section of the tunnel. The reasons for the failure of the original initial support of the tunnel are analyzed, and the failure mechanism of the support structure of the expansive loess tunnel was clarified. The results show that the rainfall leads to the destruction of the tunnel support and the decrease of the bearing capacity of the support structure, which results in the collapse of the tunnel.
Management of Submacular Hemorrhage Using Intravitreal Brolucizumab with Pneumatic Displacement: A Case Series
Authors: Chakraborty Somnath , Sheth Jay Umed
Published: November 2022

The management of submacular hemorrhage (SMH) necessitates rapid clearing of the bleed for optimal visual outcomes. We present a series of 3 cases with large fresh SMH (≤7 days) secondary to MNV that were treated with intravitreal injection (IVI) of brolucizumab along with SF6 gas injection. A face-down position was recommended for 5 days after the injection, with follow-up visits at regular intervals. All eyes demonstrated notable improvement in visual acuity with complete resolution of SMH lasting up to 6 months. There were no ocular or systemic side effects. Thus, IVI brolucizumab with SF6 gas injection is efficacious and safe for the management of large SMH secondary to MNV.
Combined Subthreshold Laser with Push-Pull Fluid Exchange for Treatment of Refractory Macular Hole
Authors: Berco Efraim , Ruparelia Sunil , Shoham-Hazon Nir
Published: November 2022

We report on a 55-year-old patient presenting with a 400 μm macular hole which failed to resolve with vitrectomy and internal limited membrane peeling. In accordance with patient wishes to avoid further surgery, subthreshold laser was applied to the macular hole followed by gas exchange with euvolemic C3F8. Successful hole closure was subsequently observed with vision improved by four Snellen lines. Subthreshold laser has several advantages over conventional laser techniques, including reduced collateral thermal damage to the adjacent cells. This case has demonstrated a new use for subthreshold laser, which combined with push-pull technique may be an effective treatment option for persistent MH.
Bilateral Conjunctivitis, Keratitis, and Anterior Uveitis in a Patient Co-infected with Parvovirus B19 and SARS-CoV-2
Authors: Saturno Maria Carmela , Manni Priscilla , Accorinti Massimo
Published: November 2022

Parvovirus B-19 (B19V) is a common infection in children, occasionally complicated by ocular manifestations. In patients infected with severe acute respiratory syndrome virus (SARS-CoV-2), many cases of bacterial, fungal, and viral co-infections have been described. We report on a case of bilateral conjunctivitis, keratitis, and anterior uveitis that occurred in a patient co-infected by B19V and SARS-CoV-2. A young nurse developed, 20 days after the onset of asthenia and fever, a maculopapular rash and, in the following month, B19V-related arthritis. Shortly after a course of antibiotics and corticosteroids and the resolution of the arthritis, she began to complain of hearing loss and tinnitus. A polymerase chain reaction for SARS-CoV-2, previously negative, turned out positive; IgM for B19V decreased while IgG increased and antinuclear autoantibody and rheumatoid factor test results were positive. Ear symptoms disappeared after a course of prednisone, but eye burning and itching appeared 2 weeks after the coronavirus disease 2019 (COVID-19) positive swab. Bilateral conjunctivitis, keratitis, and anterior uveitis were diagnosed, which responded completely to a topical corticosteroid and mydriatic therapy. No relapses were observed in the following 12 months. The onset and progression of the symptoms, along with the laboratory findings, suggest a double pathogenesis of the ocular manifestations: keratitis and uveitis, along with the ear symptoms, seem to be the expression of an autoimmune reaction to B19V infection, while the conjunctivitis was likely related to direct infection of the conjunctiva by SARS-CoV-2.
Identifying corn leaves diseases by extensive use of transfer learning: a comparative study
Authors: Samit Hatem Ahmed , Altememe Maha Sabri , Fadhel Mohammed Abdulraheem
Published: November 2022

Deep learning is currently playing an important role in image analysis and classification. Diseases in maize diminish productivity, which is a major cause of economic damages in the agricultural business throughout the world. Researchers have previously utilized hand-crafted characteristics to classify images and identify leaf illnesses in Maize plants. With the advancement of deep learning, researchers can now significantly enhance the accuracy of object classification and identification. Using the "Corn or Maize Leaf Disease Dataset" from the Kaggle website, four forms of maize leaf diseases were investigated: blight, common rust, gray leaf spot, and healthy. The pictures obtained from these corn leaf illnesses are categorized using four deep convolutional neural network (CNN) models that have been pre-trained (GoogleNet, AlexNet, ResNet50 and VGG16). Accuracy, precision, specificity, recall, F-score, and time are the six metrics used to assess the performance of any transfer learning (TL) model. MATLAB programming software is used to design and train the TL models. The accuracy of each item in the dataset has been checked. It has been determined that GoogleNet, AlexNet, VGG16, and ResNet50 each have an accuracy of 98.57%, 98.81%, 99.05%, and 99.36%, respectively.
Design and implementation of low-cost vein-viewer detection using near infrared imaging
Authors: Hussain Maray Abdulrafa , Qasim Hasan Saba , Luqman Mohammed Naqaa
Published: November 2022

There are some medicines and medical treatments that need to be injected into the human body through the blood vessels, and this requires placing the cannula in the patient’s body. The blood vessels in the human body differ from one person to another, and medical personnel face major problems in finding the blood vessels in most cases, because of The difference in skin color, where it is difficult to see the blood veins in the skin with black pigment, and it is difficult to find it in people with obesity because of the layers of fat, and in children and newborns because these veins are small. This study talks about finding a way to photograph these veins, see them by design and implementation low cost prototype used equipment that were recycled old device, such as a web camera, infrared lamps and overhead device, All of these devices are of low cost. Then process these images using binary image, histogram equalization, segmentation and threshold to detect these blood veins. The algorithms for edges images detecting are many and complex, this study used five methods to detect vein image, such as Sobel, Laplacian, Canny, Roberts, and Prewitt.
Mobile application for control and management of citizen security
Authors: Boza-Chua Alejandro , Andrade-Arenas Laberiano , Roman-Gonzalez Avid
Published: November 2022

Currently, Peru is one of the countries with the highest levels of citizen insecurity in Latin America, and its capital is considered the thirtieth most populated city in the world, thus being one of its territories with the highest percentage of citizen insecurity, providing a poor quality of life to its citizens as they feel unsafe when passing through different places and being victims of any criminal act. Therefore, this research work is developed to support this problem through the implementation of a mobile application that manages and controls citizen insecurity. Applying the research method based on design and scrum methodology, which together generate greater control over changes during project development. In addition, resources and the support of different tools were used for its study and execution, such as marvelApp for the design and prototyping of the mobile application and android studio. Obtaining highly viable results for the support of citizen security through a suitable and fully viable mobile application.
Energy harvesting schemes for internet of things: a review
Authors: Abbas Fadil Doaa , Jabbar Al-Bahadili Riyadh , Najm Abdullah Mohammed
Published: November 2022

As the internet of things (IoT) grows quickly, more people are interested in making wireless, low-power sensors. IoT systems currently use wireless sensors to collect reliable and accurate data in areas like smart buildings, environmental monitoring, and healthcare. Wireless sensors have typically been driven by batteries, which, although allowing for low total system costs, can have a significant impact on the whole network's lifetime and performance. The solution to this problem is energy harvesting (EH) from the environment. An EH is a technique for converting energy from an environmental source, such as heat, light, motion, or wind, into electric power. This paper describes many types of EH systems as well as some technological issues that must be solved before IoT energy harvesting solutions can be widely used.
Target selection method on the occluded and distant object in handheld augmented reality
Authors: Ismail Ajune Wanis , Halim Nur Ameerah Abdul , Talib Rohaya , Sihes Ahmad Johari
Published: November 2022

Existing interaction techniques within handheld augmented reality (AR) have frequently used touchscreen input (pure two-dimensional (2D) pointing and clicking) from the handheld device's display for target selection on the virtual object. However, performing accurate target selection on a distant target object becomes challenging as the target object will appear smaller when the distance increases. Aside from that, the difficulty increases in performing target selection when another virtual object obscures the distant virtual object. Therefore, this study aims to present a target selection method to perform the target selection. We enable the raycasting technique with real hand gesture for the target selection method on the occluded and distant object in handheld AR. The leap motion device is mounted at the back of the handheld device to track the real hand gesture. The markerless tracking technology of simultaneous localization and mapping (SLAM) is implemented to enable the AR environment. Based on the results, the aim of this study was achieved.
A parallel algorithm of multiple face detection on multi-core system
Authors: Al-Neama Mohammed Wajid , Alshiha Abeer A. Mohamad , Saeed Mustafa Ghanem
Published: November 2022

This work offers a graphics processing unit (GPU)-based system for real-time face recognition, which can detect and identify faces with high accuracy. This work created and implemented novel parallel strategies for image integral, computation scan window processing, and classifier amplification and correction as part of the face identification phase of the Viola-Jones cascade classifier. Also, the algorithm and parallelized a portion of the testing step during the facial recognition stage were experimented with. The suggested approach significantly improves existing facial recognition methods by enhancing the performance of two crucial components. The experimental findings show that the proposed method, when implemented on an NVidia GTX 570 graphics card, outperforms the typical CPU program by a factor of 19.72 in the detection phase and 1573 in the recognition phase, with only 2000 images trained and 40 images tested. The recognition rate will plateau when the hardware's capabilities are maxed out. This demonstrates that the suggested method works well in real-time.
Tidal energy assessment with hydrodynamic modelling
Authors: Ali Imran , Ragai Henry Rigit Andrew , Bin Yaakob Omar , Labadin Jane , Hussain Rajpar Altaf
Published: November 2022

The increasing demand for sustainable energy generation brings a need for tidal current energy resource exploration around the globe. Hydrodynamic modelling is an essential aspect to explore macro tidal sites. In the current research paper, a 2D hydrodynamic model is set up by utilizing the numerical application of Delft3D. The model is validated against the database results and the two macro tidal sites are identified along the coastline of Sarawak, Malaysia. The maximum available kinetic energy flux at the identified location is 0.6 kW/m2, during peak neap tide hours. This stands as a sound justification to have a detailed tidal energy assessment study in this area in future research.
Investigation of electrical properties of developed indigenous natural ester liquid used as alternate to transformer insulation
Authors: Mukundappa Srinivasa Doddasiddavanahalli , Surendra Usha
Published: November 2022

The performance of every electrical system depends on the different electrical devices especially transformers. Petroleum-based mineral oil is widely used for insulation and cooling purpose. The disadvantage of mineral oil is its low biodegradability and is a major threat to the ecosystem due to its poor oxidative stability. To remedy the drawbacks, focus on alternative fluids that can replace traditional mineral oil. Alternative liquids such as natural esters are used which do not panic the ecosystem. With the support of additives in natural esters liquids, the productivity of the oil can be increased, paving the path for the green conversion of liquids in high voltage applications. The purpose of this article is to analyze the electrical properties of the newly developed indigenous oil. The inhibited oil was insulating oil to which antioxidants were added such as 2,6-ditertiary-butylparacresol, butylated hydroxyl anisole and tertiary butyl hydro qunine to slow down the oxidation rate and to check the electrical properties. This article discusses the electrical properties of mineral oil, developed indigenous oil with and without antioxidants as per IEC62770 standards. A 1.1 kVA transformer was then designed in a laboratory for load tests and Indigenous oil performance under load was evaluated.
An electric power generation improvement for small Savonius wind turbines under low-speed wind
Authors: Nachaiyaphum Kwanjai , Photong Chonlatee
Published: November 2022

Savonius wind turbines have advantages of self-rotating at low speed wind, high starting torque, and less noise generation. However, they have low electric power generation capacity. This paper presents electric power generation improvement for small Savonius wind turbines when operating at low-speed wind of 1-6 m/s by using optimal Bach-type blades, twist blades and a wind tunnel. The turbine prototypes with the optimum diameter and height of 32 cm were developed with 3 different blade types: conventional semicircular blades, Bach-type blades and twisted 15° blades and a wind tunnel. The experimental results showed that the Savonius wind turbine with Bach-type generated highest electric voltage, which was 19.3% and 7.6% higher compared to conventional blades and twisted 15° blades. The additional wind tunnel could improve electric power generation efficiency by approximately 21.4% compared to the turbines without the tunnels.
Inpatient WiFi-enabled medication dispenser for improving ward-based clinical pharmacy services
Authors: Nawfeal Khaleel Khaleel , N. Farhan Mazin , G. Ayoub Mohammed , Sabah Jarjees Mohammed
Published: November 2022

Medications are vital for patients and especially for those who are receiving treatment in hospitals. Providing medications for these people is essential to maintain their health. On the other hand, medication dispensing error is one of the most common challenges that face clinical pharmacists and medical staff. These errors frequently occurred due to poor medication systems and/or human factors (i.e. environmental conditions, fatigue or staff shortage). These factors may affect prescribing, transcribing, administration, dispensing and monitoring practices which can result in disability, severe harm and even death. Avoiding medication dispensing errors is the key motivation of this paper. Consequently, a biometric-based dispensing system has been designed and implemented. The system can be installed at hospital wards and used for delivering and monitoring inpatients doses. It consists of three parts; hardware, software and mechanical part. Three 4-phase stepper motors are used for controlling the mechanical part of this system. An optical fingerprint sensor is used which is compatible with the ESP32 low-power SoC for scanning patients’ fingerprints to recognize and store their data. The system directly updates its database whenever is used by the inpatients, so that nobody can get additional doses. This system is cost-effective, reliable and easy to use.
Method for measuring voltages in channels of a hemispherical resonator gyroscope with an arbitrary orientation axes
Authors: Parkhomey Igor , Boiko Juliy , Zeniv Irina , Bondarenko Taras
Published: November 2022

The article deals with issues related to solid wave gyroscopes, which are used as a sensor in inertial navigation systems. The article considers a variant of solving problem, when oscillations of the resonator are excited in directions that coincide with their own axes, oriented a priori is unknown. The main contribution this article is the method is proposed for measuring signal amplitudes in virtual main and quadrature channels, the orientation of which does not coincide with the orientation of the signal pickup electrodes. This is achieved by modeling algorithms for measuring the slope of the resonator's own axes and signal amplitudes in virtual channels are evaluation. In order to verify the adequacy of the proposed models simplified calculation formulas for programming microcontrollers are presented. An estimate of the error due to the use of simplified formulas is made. It is assumed that the use of this method will reduce the requirements for the quality of balancing the resonators of gyroscopes. The findings will be useful for mass production of navigation systems with gyroscopes, which have a small drift and are capable of experiencing large shock linear accelerations, for example, in underground inclined drilling, and in meteorological rockets.
Brain signals analysis for sleep stages detection using virtual instrumentation platform
Authors: El Hadiri Abdeljalil , Bahatti Lhoussain , El Magri Abdelmounime , Lajouad Rachid
Published: November 2022

This paper discusses the use of the Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) software tool for analyzing brain waveforms (i.e EEG: electroencephalogram) to study sleep stages such as deep sleep, light sleep and so on. The used EEG signals are generated in order to span all sleeping phases. Indeed, a mandatory step of signal processing has been performed, such as sampling, filtering and features extraction. This analysis is carried out with the LabVIEW program, which is a popular virtual instrumentation platform. The EEG signals used in the analysis were obtained from an open-source database and went through several steps, including noise removal, classification and feature extraction. To extract the feature, different filters are employed and the outputs of all filters are compared, leading to a sleep level detection. The simulation results show clearly the performances of this analysis.
Markov random field model and expectation of maximization for images segmentation
Authors: Lahouaoui Lalaoui , Abdelhak Djaalab
Published: November 2022

Image segmentation is a significant issue in image processing. Among the various models and approaches that have been developed, some are commonly used the Markov Random Field (MRF) model, statistical techniques (MRF). In this study a Markov random field proposed is based on an EM Modified (EMM) model. In this paper, The local optimization is based on a modified Expectation-Maximization (EM) method for parameter estimation and the ICM method for finding the solution given a fixed set of these parameters. To select the combination strategy, it is necessary to carry out a comparative study to find the best result. The effectiveness of our proposed methods has been proven by experimentation. We have applied this segmented algorithm to different types of images, exhibiting the algorithm's image segmentation strength with its best values criteria for EM statics and other methods.
Single parity check node adapted to polar codes with dynamic frozen bit equivalent to binary linear block codes
Authors: Khebbou Driss , Chana Idriss , Ben-Azza Hussain
Published: November 2022

In the context of decoding binary linear block codes by polar code decoding techniques, we propose in this paper a new optimization of the serial nature of decoding the polar codes equivalent to binary linear block codes. In addition to the special nodes proposed by the simplified successive-cancellation list technique, we propose a new special node allowing to estimate in parallel the bits of its sub-code. The simulation is done in an additive white gaussian noise channel (AWGN) channel for several linear block codes, namely bose–chaudhuri–hocquenghem codes (BCH) codes, quadratic-residue (QR) codes, and linear block codes recently designed in the literature. The performance of the proposed technique offers the same performance in terms of frame error rate (FER) as the ordered statistics decoding (OSD) algorithm, which achieves that of maximum likelihood decoder (MLD), but with high memory requirements and computational complexity.
Adaptation of powerline communications-based smart metering deployments with IoT cloud platform
Authors: Hashim Shaimaa Mudhafar , Al-Mashhadani Israa Bader
Published: November 2022

The necessity of energy management and optimization through smart devices has an essential role in sustainable energy. Smart grid features and cutting-edge technologies are progressively integrated into traditional electricity networks. One of these features is the interference between power line communications and IoT. The introduction and deployment of these grids are mainly focused on the development of the field of smart metering. A new proposed module for smart meter design within the existing infrastructure grid system using power line communication (PLC) is presented. The system will include a transmitter with a microcontroller (MCU) and numerous sensors, as well as communication channels that include PLC and an in-house powerline network, and a receiver with an MCU. The suggested system interacts with the IoT system, characterized by a free web interface showing the data directly in real-time. Based on real-world experience, this paper develops guidelines for various aspects of PLC Smart Metering network deployment via the cloud environment. The practical result of packet losses is about 0, 1, or 2 characters of received data, and the time difference between transmitter and receiver is about 5000 milliseconds for a fixed transmission line.
Secured drone communication based on Esalsa20 algorithm and 1d logistic map
Authors: Jomaa Ibtesam , Mahdi Saleh Worud , Hassan Rasha Rokan Ismail , Wadi Saja Huzber Hussien
Published: November 2022

Over recent years, drones are increasingly being used not only for military tasks only, but also for civilian tasks too, such as environment and traffic monitoring, delivery services, and aerial surveys. Unfortunately, as they become more popular and in demand, they become more vulnerable to a variety of security threats. To combat such attacks and security threats, a proper design of a robust security and authentication system based on and stream cipher lightweight salsa20 algorithm with chaotic maps to cipher payload data to improve security network transfer of radio technical commission for maritime services (RTCM) messages over (NTRIP) communication protocol. By using a proposed key generation method which is based on a 1d logistic map to produce a flight session key for a drone with a flight plan, and then records the flight session key and the drone's flight plan in a central database that can be accessed. The proposed system is superior to other similar systems in terms of security and performance, according to the review.
An extensible framework for recurrent breast cancer prognosis using deep learning techniques
Authors: Shiva Shankar Reddy , Swaroop Chigurupati Ravi , Voosala Priyadarshini , Pilli Neelima
Published: November 2022

Due to population growth, early illness detection is getting more challenging. Breast cancer is the second-deadliest malignancy. An estimated one million people are newly diagnosed with the disease annually in India. Most cases are never diagnosed because they are either ignored or not reported. Also, secondary malignancies may develop after a breast cancer recurrence, including those of the brain, lungs, and bones. Early detection and treatment of people with recurring breast cancer may help prevent secondary cancers and other disorders. By examining cell and tumour data as well as data from other diseases, this project hopes to overcome this obstacle and more accurately diagnose breast cancer. Accurate diagnosis of breast cancer may be achieved with the use of machine learning techniques. The effort focuses on recurring breast cancer and aims to efficiently identify it. In ensemble learning, decision trees filter out non-essential qualities. Cancer recurrences and non-recurrences are distinguished using voting classifiers. The soft voting classifier classifies a variety of data sets with 98.24% accuracy. The proposed model has an accuracy of 0.97, a recall of 0.97, an F1-Score of 0.969, and a Choen kappa score of 0.9655, as stated by the recommended model.
Social spider optimization algorithm-based energy management of photovoltaic powered textile industry
Authors: Somashekharappa Preetha Pujar , Kusagur Ashok
Published: November 2022

The competitive nature of business, especially in the production industries like the textile industry, increases the importance of the economic operation of the production setup. Energy management is one important tool that supports the economic operation of any industry. This paper attempts to develop an optimized energy management algorithm using Social Spider optimization in a textile industry environment. Energy management for one full day is analyzedin the environment, considering fixed, shift-able, and uninterruptible loads for energy management implementation. The benefit of implementing photovoltaic power on the premises is discussed with an appropriate calculation. The results are compared with the bat algorithm and the ant lion algorithm. MATLAB 2017b is used to program the concept.
An efficient ontology model with query execution for accurate document content extraction
Authors: Eswaraiah Poluru , Syed Hussain
Published: November 2022

The technique of extracting important documents from massive data collections is known as information retrieval (IR). The dataset provider coupled with the increasing demand for high-quality retrieval results, has resulted in traditional information retrieval approaches being increasingly insufficient to meet the challenge of providing high-quality search results. Research has concentrated on information retrieval and interactive query formation through ontologies in order to overcome these challenges, with a specific emphasis on enhancing the functionality between information and search queries in order to bring the outcome sets closer to the research requirements of users. In the context of document retrieval technologies, it is a process that assists researchers in extracting documents from data collections. It is discussed in this research how to use ontology-based information retrieval approaches and techniques, taking into account the issues of ontology modelling, processing, and the transformation of ontological knowledge into database search queries. In this research work, an efficient optimized ontology model with query execution for content extraction from documents (OOM-QE-CE) is proposed. The existing ontology-to-database transformation and mapping methodologies are also thoroughly examined in terms of data and semantic loss, structural mapping and domain knowledge applicability.
Analysis of benchmark program results of worst case execution time for multithreaded programs
Authors: Paraman Padma Priya Dharishini , Murthy Prakriya V. Ramana
Published: November 2022

Worst case execution time (WCET) estimation by static analyzers is being investigated with keen interest in view of their importance in designing applications for embedded systems that have real- time requirements. Recent work reported on improving precision of estimates of WCET of multithreaded programs, by improving precision of shared instruction cache analysis, shows significant improvement in WCET estimates. An abstraction of a multithreaded program as Hoare’s communicating sequential processes (CSP) specification program is realized to enable higher precision in micro-architectural modelling unit of WCET analyzer of multithreaded programs. A thread is viewed as a composition of CSP. The WCET of a thread may be viewed as dependent on WCET of processes in a thread and in turn WCET of each process is the WCET of the sub-graph of basic block nodes in the process. Corresponding CSP in interacting threads, based on calls to synchronization primitives wait and notify, generate shared cache interferences to the process in a thread whose WCET is being estimated by the analyzer. A detailed study of how partitioning of a thread into processes yields higher reduction in WCET is performed on benchmark programs. Furthermore, which processes in a thread yield higher reduction in WCET is performed.
Tratamento de dermatose perfurante adquirida com alopurinol
Authors: Matsuura Naomi Carrara , Pereira Fernanda , Nakazato Lissa , Copi Luana Rocco Pereira
Published: November 2022

Dermatoses perfurantes são patologias cutâneas papulonodulares que se caracterizam pela extrusão transepitelial de componentes da matriz extracelular da derme, por inflamação ou degeneração. Quando são secundárias as doenças sistêmicas são chamadas Doenças Perfurantes Adquiridas. Nossa carta tem como objetivo relatar caso de dermatose perfurante adquirida secundária a insuficiência renal crônica dialítica. O tratamento com Alopurinol se mostrou eficaz neste caso. O Alopurinol atuaria como antioxidante, reduzindo a reação inflamatória nos tecidos e consequentes danos nas fibras colágenas.
Telogen Effluvium and COVID-19: a case and a brief review of literature
Authors: Florêncio Francisco Kleyton Zacarias , Tenório Maiza de Oliveira , Lima Sandro Gonçalves de
Published: November 2022

COVID-19 is a new disease that has brought a great impact on global morbidity and mortality. There have been increasingly frequent reports of persistent symptoms and/or clinical manifestations attributed to COVID-19 after the acute phase of the disease. In this article, we present a case of post-COVID-19 telogen effluvium in a 39-year-old hypertensive and obese patient who looked for medical attention due to massive hair loss. Previous history of moderate COVID-19 4 months ago. After investigation and exclusion of other possible causes of telogen effluvium well established in the literature, the condition was attributed to the previous episodeof COVID-19. Persistent fever, the cytokine storm, and the entire immunological cascade of COVID-19 canlead to apoptosis of the keratinocytes of the hair follicles, initiating the catagen phase early followed by the telogen phase with a consequent capillary release. Late symptoms possibly secondary to COVID-19 should receive attention and interest from the medical and scientific community. As it is a new disease, whose late consequences are not yet fully known/elucidated, careful observation and careful clinical follow-up of these patients are recommended.
Conhecimentos em nutrição para o esporte e consumo de suplementos por praticantes de musculação em uma rede de academias
Authors: Cavalcante Erivan de Olivindo , Matos Maria Rosimar Teixeira
Published: November 2022

Objetivo: Este estudo objetivou avaliar os conhecimentos em nutrição para o esporte e o consumo de suplementos alimentares entre praticantes de musculação de uma rede de academias. Métodos: Trata-se de um estudo transversal, realizado com 168 praticantes de musculação em três unidades de uma rede de academias de Fortaleza, Ceará, Brasil. Foram avaliados os conhecimentos em nutrição para o esporte e o consumo de suplementos através de um questionário estruturado, abordando os dados de identificação, informações sobre a prática de musculação e sobre a utilização de suplementos e questões objetivas acerca dos conhecimentos de nutrição para o esporte, sendo esses posteriormente classificados em baixo, moderado e alto, de acordo com pontuação obtida. A análise estatística foi realizada pela construção de frequências simples e relativas, médias e desvio-padrão, assim como por medidas de correlação, com significância fixada em 5%. Resultados: Observou-se que quase metade dos praticantes referiu o consumo de suplementos alimentares. Dentre os suplementos mais consumidos, destacaram-se os proteicos, estando o consumo independente de gênero, tempo de prática de musculação e conhecimentos em nutrição (p<0,05). A maioria dos indivíduos mostrou conhecimento moderado em nutrição, entretanto, observou-se dificuldade em associar os nutrientescom suas funções e suas utilizações para o esporte, principalmente quanto ao manejo proteico. Conclusão: Os achados deste estudo revelaram uma supervalorização do consumo proteico no âmbito da musculação, predispondo à adoção de práticas alimentares e de suplementação inadequadas. Faz-se necessária, assim, a elaboração e efetivação de ações de educação e assistência nutricional voltadas a esse público.
Perfil e distribuição espacial de óbitos por COVID-19 no município de Rio Grande/RS em 2020
Authors: Vieira Yohana Pereira , Soares Júnior Abelardo de Oliveira , Nunes Lorrany da Silva , Afonso Max dos Santos , Duro Suele Manjourany Silva , Saes Mirelle de Oliveira
Published: November 2022

Objetivo: Descrever o perfil de óbitos por COVID-19 no município de Rio Grande, Rio Grande do Sul, Brasil. Metodologia: Trata-se de um estudo transversal, descritivo, com dados oriundos do banco de óbitos da Vigilância Epidemiológica, registrados no período de março a dezembro de 2020. Resultados: Dos 194 óbitos, a maioria era do sexo masculino (63,4%), com 60 anos ou mais (82,5%), de cor da pele branca (82,5%), residentes na região central histórica do município (11,3%). Quanto à ocupação, a maior ocorrência de óbitos foi entre os aposentados (69,5%), seguido por comerciante ou autônomo (17,7%). Com relação às morbidades, 38,7% tinha cardiopatias, 29,4% hipertensão arterial sistêmica, 28,0% diabetes mellitus e praticamente a metade dos indivíduos tinha multimorbidade (49,0%). Conclusões: Com a identificação do perfil de óbitos por COVID-19 no município de Rio Grande no período de março a dezembro de 2020, esses dados podem contribuir para auxiliar os gestores no planejamento de ações estratégicas e educativas de prevenção e combate à COVID-19, principalmente no direcionamento de grupos prioritários nas campanhas de vacinação.
Influência da relação sangue/anticoagulante e da temperatura de armazenamento em parâmetros plaquetários utilizando o analisador Cell Dyn Ruby®
Authors: Wolski Maria Júlia , Moss Mariane Faria , Kalva-Borato Danielle Cristyane
Published: November 2022

Introdução: O resultado laboratorial é diretamente influenciado por etapas da fase pré-analítica, como método de coleta, transporte e armazenamento das amostras biológicas. Desta forma, a estabilidade da amostra biológica é um aspecto crucial e determinante para a qualidade dos resultados de um laboratório clínico. Estudos demonstram que alguns parâmetros plaquetários podem sofrer modificações na presença da relação sangue/anticoagulante alterada, com aumento do tempo de estocagem e/ou alterações na temperatura de armazenamento, podendo levar a resultados não representativos. Portanto, o objetivo desse estudo foi investigar a confiabilidade dos parâmetros plaquetários com relação ao efeito da relação anticoagulante/sangue e da temperatura de armazenamento, em amostras estocadas por até 24 horas após a coleta, utilizando o equipamento Cell Dyn Ruby®. Métodos: Foram avaliados 351 hemogramas, em diferentes tempos de análise: 2, 5, 12 e 24 horas e formas de estocagem: à temperatura ambiente (25⁰C) e à 4⁰C, além da relação anticoagulante/sangue. Foram selecionados os seguintes parâmetros plaquetários: PLT (contagem total de plaquetas), VPM (volume plaquetário médio), PDW (amplitude de variação do tamanho das plaquetas) e PCT (plaquetócrito). A confiabilidade dos resultados foi avaliada pelo CVa (%), dentro da variação analítica máxima permitida, assim como pela diferença de média dos resultados em relação à amostra de base (2 horas). Resultados: A contagem total de plaquetas foi o único parâmetro avaliado que apresentou reprodutibilidade de resultados em todas as condições analisadas. Em relação aos demais parâmetros plaquetários, foi observado imprecisão dos resultados emitidos pelo Cell Dyn Ruby®, a partir de 5 horas de estocagem, tanto em temperatura ambiente quanto refrigerada. Conclusão: Este estudo demonstra que fatores pré-analíticos, como a temperatura de armazenamento e o tempo de estocagem, podem afetar a variabilidade dos parâmetros plaquetários, podendo produzir resultados equivocados. Deste modo, deve-se respeitar a correta relação sangue/anticoagulante e evitar o processamento tardio da amostra.
Perfil clínico-epidemiológico dos pacientes em cuidados paliativos atendidos em um serviço de urgência geral
Authors: Torquato Ana Claudia Crispiniano Siqueira , Torquato Lucas Pedro Crispiniano dos Santos , Santos Thais Oliveira Claizoni dos
Published: November 2022

Os pacientes em cuidados paliativos procuram o pronto-socorro para alívio imediato da dor ou de outros sintomas físicos. Os profissionais que atuam em serviços de urgência são treinados para prestar cuidados focados no tratamento direcionado a doenças agudas, mas podem fornecer intervenções paliativas para gerenciar as exacerbações de doenças crônicas ou os cuidados próximos ao fim da vida. Conhecer o perfil dos pacientes em cuidados paliativos atendidos em serviço de urgência e emergência é imprescindível para implementação de medidas que melhorem a qualidade do atendimento deste grupo de pacientes e otimizem o serviço prestado. O objetivo do estudo é descrever o perfil clínico-epidemiológico dos pacientes em cuidados paliativos atendidos no pronto-socorro. Foi realizado um estudo transversal, observacional e retrospectivo, de pacientes adultos de ambos os sexos, em cuidados paliativos atendidos em uma unidade de pronto atendimento – UPA, num período de dez meses. O estudo teve aprovação do Comitê de Ética e Pesquisa. Foram analisados 83 pacientes com média de idade de 78,5 (±14,3) anos. Houve predominância do sexo feminino (61,4%). A maioria era procedente do domicílio (87,9%). Havia a presença de cuidador em 91.57% dos casos, predominando o cuidador familiar não-remunerado (76,3%). Sobre atendimento prévio, 44,58% haviam procurado o pronto-socorro no último mês. Quanto à doença de base, 31,3% era oncológica e 68,6% não-oncológica. O câncer de próstata representou a principal causa oncológica (30,7%), seguido de neoplasia hepática e das vias biliares (15,4%). Nos casos não-oncológicos, foi mais frequente a síndrome de fragilidade (42,10%) e sequela grave de acidente vascular cerebral (17,5%). O principal sintoma foi a dispneia em 38 pacientes (45,7%). A dor e a dispneia foram mais frequentes nos casos oncológicos (34,6% e 23,0%, respectivamente), seguidos de dispneia e delirium nos casos não-oncológicos (56,1% e 28,0%, respectivamente). No presente estudo, predominou a faixa etária idosa em cuidados paliativos com cuidador presente com maior frequência de doença de base não-oncológica, dispneia, dor e delirium.
Potenciais eventos adversos a medicamentos: coorte em unidades de terapia intensiva
Authors: Gomes Vanessa Rossato , Trevisan Danilo Donizetti , Secoli Silvia regina
Published: November 2022

Introdução: Eventos adversos a medicamentos estão associados à morbimortalidade, altas taxas de permanência hospitalar e custos elevados. Pacientes de unidade de terapia intensiva são um dos principais grupos de risco para ocorrência desses eventos. O uso de rastreadores, indicadores de potenciais eventos, pode simplificar a detecção por meio do screening sistemático de prontuários e possibilitar mensuração contínua. Objetivo: Analisar potenciais eventos adversos e correlacionar seus rastreadores com tempo de internação, número de medicamentos e comorbidades em pacientes internados em unidade de terapia intensiva adulto. Métodos: Estudo longitudinal conduzido com pacientes internados em terapia intensiva de um hospital de alta complexidade de São Paulo, Brasil. Amostra probabilística composta por 83 prontuários de pacientes, hospitalizados, por no mínimo 24 horas, para tratamento clínico e que receberam, pelo menos, um medicamento. Na identificação dos eventos foi utilizado o instrumento do Institute for Healthcare Improvement adaptado, que inclui rastreadores, medicamentos, bioquímicos e clínicos. As análises estatísticas foram realizadas pela Correlação de Pearson, com significância de p < 0,05. Resultados: Anti-histamínicos (43,4%), aumento de creatinina (50,6%) e letargia (20,5%) foram os rastreadores mais frequentes de cada categoria. Os medicamentos mais utilizados foram ácido acetilsalicílico (67%) e omeprazol (55%). Houve correlação positiva entre o número total de rastreadores e tempo de internação, número de medicamentos e comorbidades (r= 0,961, r=0,555 e r=0,210 respectivamente; p< 0,001). Conclusão: Os rastreadores destacados são esperados para pacientes com cardiopatias em unidades de terapia intensiva e sugerem alerta para os profissionais envolvidos no monitoramento de eventos adversos.