bluuebunny/crossref_metadata_2025 huggingface dataset:
Contraceptive Use and Method Preferences among HIV Positive Women in Ethiopia: A Systematic Review and Meta‐analysis
Authors: Gedefaw Getnet , Wondmieneh Adam , Demis Asmamaw
Published: September 2020

Background. Preventing unintended pregnancies among HIV positive women has a vital role to prevent mother to child transmission. Besides, increasing access to contraceptives has a number of economical importance and reducing the costs for mitigating the unintended pregnancy consequences. Therefore, this study is aimed at assessing the contraceptive use and method of preference among HIV positive women in Ethiopia. Methods. A systematic review and meta‐analysis reporting guideline was applied. Articles searched from the Scopus, Pubmed/MEDLINE, EMBASE, AJOL, Hinari, and Google scholar were included in this review. The Stata 11 software was used to compute the analysis. Heterogeneity of the studies was detected using the Cochran Q test and I2 test statistics. Egger’s test was used to check the evidence of publication bias within the studies. Subgroup analysis and sensitivity analysis was computed with the evidence of heterogeneity. Results. Ten thousand one hundred twenty one (10121) women living with HIV/AIDS were recruited in this study. The national estimated prevalence of contraceptive use among HIV positive women in Ethiopia was 57.78% (95% CI: 48.53‐67.03). Injectables and male condom were the most preferred contraceptives accounted for 36.00% (95% CI: 6.64‐45.35) and 32.74% (95% CI: 21.08‐44.40), respectively. Discussion with husband/partner (AOR: 4.70, 95% CI: 2.18‐10.12), disclosure of HIV status to spouse/partner (AOR: 2.18, 95% CI: 1.55‐3.06), ever counseled for modern contraceptives (AOR: 2.79, 95% CI: 2.01‐3.88), attending secondary and above education (AOR: 3.12, 95% CI: 2.15‐4.51), and having more than one live child (AOR: 2.61, 95% CI: 1.86‐3.66) were increasing the likelihood of contraceptive use whereas not currently married women (AOR: 0.23, 95% CI: 0.16‐0.34) was decreases the odds of contraceptive use. Conclusion. In Ethiopia, more than half of the women living with HIV/AIDS were using contraceptives. Discussion with husband/partner, disclosure of HIV status to spouse/partner, ever counseled for modern contraceptives, attending secondary and above education, and having more than one live child were increasing the uptake of contraceptives among HIV positive women. Partner discussion, having adequate information towards contraceptive use, and having desired number of child could increase the utilization; as a result, obstetric complication with HIV positive women due to unintended pregnancy is significantly decreasing.
Implementation of a Postfracture Care Program in a Private Hospital in Colombia
Authors: Sánchez M. A. , Segura J. E. , Alajmo G. , Nossa J. M , Correa A. , Leal E. , Moscoso A. , Pineda G. A. , Aya A. C.
Published: September 2020

Purpose. To describe the implementation of a postfracture care program in a private hospital in Colombia, the results achieved after the program’s first year, and the challenges encountered. Methods. A cross-sectional descriptive study of the first year’s outcomes. The program was implemented following best practices described in the “Capture the Fracture” framework. We assessed the management of fractures before the launch of the program. A multidisciplinary group was established to collaborate on the diagnosis and treatment of patients with osteoporotic fractures. A full-time program coordinator was appointed. We analyzed the program’s clinical outcomes and limitations. Results. One-hundred and ninety patients were included in the study, with an average age of 76.7. Hip fracture was the most frequent one (33.6%). After the first year of implementing the program, 39.4% of patients received osteoporosis treatment, with an adherence rate of 73%. The incidence of subsequent falls was 5.8% and 1% for new fractures. Conclusions. The implementation of a program for patients’ care with fragility fractures is challenging for healthcare institutions. The role of a full-time coordinator is critical for the proper operation of such programs.
Two Years after Loading Performance of Implant-Supported Overdenture with Metal Bar and Low-Profile Attachments: A Prospective Case Series Multicenter Clinical Study
Authors: Montanari Marco , Tallarico Marco , Vaccaro Gabriele , Ferrari Emiliano , Scrascia Roberto , Ortensi Luca , Cicciù Marco , Meloni Silvio Mario , Lumbau Aurea Immacolata , Avrampou Marianna , Martinolli Matteo
Published: September 2020

Background. Prosthetic rehabilitation of patients with atrophic arches can be very challenging. Purpose. The aim of the present prospective multicenter study was to report the two-year preliminary data on clinical and radiographic performance of implant-supported overdentures with a metal bar and low-profile attachments. Material and Methods. A computer-aided design/computer-aided manufacturing (CAD/CAM) titanium bar or a conventional cast metal bar was fabricated according to the anatomy of the ridge, prosthetic contours (teeth setup), and implant position. Three to six threadable OT Equator attachments (Rhein 83, Bologna, Italy) were placed along the implant bar. A cobalt-chromium alloy metal framework was fabricated and fitted onto the metal bar as a counterpart. Prosthetic survival rate, biologic and technical complications, peri-implant bone loss, changes in oral health impact profile index, bleeding on probing, and plaque index were reported. Results. Overall, 177 implants were placed (range three to six) to support 43 metal bars with 170 OT Equators (Rhein 83, range three to six). Eleven metal bars were fabricated using CAD/CAM technology, while the other 32 were conventionally produced using cast technique. All the participants were followed up for at least two years (mean 42.2 months, range 24–88 months) after prosthesis delivery. Two maxillary implants failed in one nonsmoking patient (1.1%). The 2-year prosthesis survival rate was 97.7%. Only three minor technical complications were reported. Two years after loading, the mean marginal bone loss was 0.22 ± 0.09 mm (95% CI: 0.16 to 0.26). Two years after loading, OHIP was 22.3 ± 7.1 (95% CI from 17.4 to 24.6). Compared to the baseline, the difference was statistically significant (

P
≤
0.001

). At the two-year follow-up session, successful periodontal parameters were experienced. Conclusions. Implant overdenture supported by a CAD/CAM titanium bar may be a reliable option for the treatment of the edentulous arch over a 2-year period. Oral health-related quality of life significantly improved in all treated participants.
The Construction of Builder Safety Supervision System Based on CPS
Authors: Jin Wei , Liu Yu , Jin Yanfeng , Jia Mengxiao , Xue Lifeng
Published: September 2020

In recent years, with the development of the economy, the building industry has developed rapidly. However, due to the frequent construction safety accidents caused by natural factors and human factors, construction safety issues have also attracted the attention of the government and all walks of life. The widespread use of the Internet has made CPS an advanced technology that adapts to new social development methods and strengthens national construction. In this paper, in order to reduce the losses caused by construction accidents, firstly, the types of safety accidents are analyzed. Secondly, on the basis of CPS technology, a safety system for building workers is constructed, which is mainly composed of four parts, which are personnel management system, risk crosswarning system, monitoring, early warning system, and remote monitoring system, combined with related supporting systems. Finally, the fuzzy evaluation method is used to evaluate the safety system. It is concluded that in the process of building safety construction, prejob training should be conducted to help workers establish safety awareness, and workers’ contact with not safety areas should be minimized to reduce accidents in advance; the safety supervision system constructed in this paper will help improve the management level of building safety management and reduce the incidence and losses of accidents. The evaluation results prove the superiority and effectiveness of the system.
Efficacy, Tolerability, and Pharmacokinetics of Combined Targeted MEK and Dual mTORC1/2 Inhibition in a Preclinical Model of Mucosal Melanoma
Authors: Wei Bih-Rong , Hoover Shelley B. , Peer Cody J. , Dwyer Jennifer E. , Adissu Hibret A. , Shankarappa Priya , Yang Howard , Lee Maxwell , Peat Tyler J. , Figg William D. , Simpson R. Mark
Published: September 2020

Melanomas arising in the mucous membranes are a rare and aggressive subtype. New treatment approaches are needed, yet accumulating sufficient evidence to improve patient outcomes is difficult. Clinical and pathological correlates between human and canine mucosal melanomas are substantial, and the relatively greater incidence of spontaneous naturally occurring mucosal melanoma in dogs represents a promising opportunity for predictive modeling. The genomic landscapes of human and canine mucosal melanoma appear highly diverse and generally lack recurring hotspot mutations associated with cutaneous melanomas. Although much remains to be determined, evidence indicates that Ras/MAPK and/or PI3K/AKT/mTOR signaling pathway activations are common in both species and may represent targets for therapeutic intervention. Sapanisertib, an mTORC1/2 inhibitor, was selected from a PI3K/mTOR inhibitor library to collaborate with MEK inhibition; the latter preclinical efficacy was demonstrated previously for canine mucosal melanoma. Combined inhibition of MEK and mTORC1/2, using trametinib and sapanisertib, produced apoptosis and cell-cycle alteration, synergistically reducing cell survival in canine mucosal melanoma cell lines with varying basal signaling activation levels. Compared with individual inhibitors, a staggered sapanisertib dose, coupled with daily trametinib, was optimal for limiting primary mucosal melanoma xenograft growth in mice, and tumor dissemination in a metastasis model, while minimizing hematologic and renal side effects. Inhibitors downmodulated respective signaling targets and the combination additionally suppressed pathway reciprocal crosstalk. The combination did not significantly change plasma sapanisertib pharmacokinetics; however, trametinib area under the curve was increased in the presence of sapanisertib. Targeting Ras/MAPK and PI3K/AKT/mTOR signal transduction pathways appear rational therapies for canine and human mucosal melanoma.
Synthetic Lethal Metabolic Targeting of Androgen-Deprived Prostate Cancer Cells with Metformin
Authors: Yang Bing , Damodaran Shivashankar , Khemees Tariq A. , Filon Mikolaj J. , Schultz Adam , Gawdzik Joseph , Etheridge Tyler , Malin Dmitry , Richards Kyle A. , Cryns Vincent L. , Jarrard David F.
Published: September 2020

The initiation of androgen-deprivation therapy (ADT) induces susceptibilities in prostate cancer cells that make them vulnerable to synergistic treatment and enhanced cell death. Senescence results in cell-cycle arrest, but cells remain viable. In this study, we investigated the mechanisms by which prostate cancer cells undergo senescence in response to ADT, and determined whether an FDA-approved antidiabetic drug metformin has a synergistic effect with ADT in prostate cancer both in vitro and in vivo. Our results show that longer term exposure to ADT induced senescence associated with p16INK4a and/or p27kip2 induction. The activation of PI3K/AKT and inactivation of AMPK in senescent cells resulted in mTORC1 activation. In addition, the antiapoptotic protein XIAP expression was increased in response to ADT. The addition of metformin following ADT induced apoptosis, attenuated mTOR activation, reduced senescent cell number in vitro, and inhibited tumor growth in prostate cancer patient-derived xenograft models. This study suggests that combining ADT and metformin may be a feasible therapeutic approach to remove persistent prostate cancer cells after ADT.
Microparticle Encapsulation of a Prostate-targeted Biologic for the Treatment of Liver Metastases in a Preclinical Model of Castration-resistant Prostate Cancer
Authors: Rogers Oliver C. , Antony Lizamma , Levy Oren , Joshi Nitin , Simons Brian W. , Dalrymple Susan L. , Rosen D. Marc , Pickering Andrew , Lan Haoyue , Kuang Heidi , Ranganath Sudhir H. , Zheng Lei , Karp Jeffrey M. , Howard S. Peter , Denmeade Samuel R. , Isaacs John T. , Brennen W. Nathaniel
Published: September 2020

PRX302 is a highly potent, mutant bacterial pore-forming biologic protoxin engineered for selective activation by PSA, a serine protease expressed by benign and malignant prostate epithelial cells. Although being developed as a local therapy for benign prostatic hyperplasia and localized prostate cancer, PRX302 cannot be administered systemically as a treatment for metastatic disease due to binding to ubiquitously expressed glycosylphosphatidylinositol (GPI)-anchored proteins, which leads to poor accumulation within the tumor microenvironment. To overcome this limitation, poly-lactic-co-glycolic acid (PLGA) microparticles encapsulating the protoxin were developed, which are known to accumulate in the liver, a major site of metastasis for prostate cancer and other solid tumors. A highly sensitive and reproducible sandwich ELISA to quantify PRX302 released from microparticles was developed. Utilizing this assay, PRX302 release from different microparticle formulations was assessed over multiple days. Hemolysis assays documented PSA-dependent pore formation and lytic potential (i.e., function) of the released protoxin. MTT assays demonstrated that conditioned supernatant from PRX302-loaded, but not blank (i.e., unloaded), PLGA microparticles was highly cytotoxic to PC3 and DU145 human prostate cancer cells in the presence of exogenous PSA. Microparticle encapsulation prevented PRX302 from immediately interacting with GPI-anchored proteins as demonstrated in a competition assay, which resulted in an increased therapeutic index and significant antitumor efficacy following a single dose of PRX302-loaded microparticles in a preclinical model of prostate cancer liver metastasis with no obvious toxicity. These results document that PRX302 released from PLGA microparticles demonstrate in vivo antitumor efficacy in a clinically relevant preclinical model of metastatic prostate cancer.
Removal of a Silicone Gel Breast Implant in a Multiple Myeloma Patient Improved Disease Status: A Case Report
Authors: Henning Chace , Wang James , Swift Regina , Eades Benjamin , Spektor Tanya M. , Berenson James R.
Published: September 2020

A 52-year-old African-American woman with a prior history of monoclonal gammopathy of undetermined significance (MGUS) developed infiltrating ductal carcinoma of the left breast. Following a mastectomy, she underwent reconstruction with a silicone gel breast implant. Three years later, her MGUS had progressed to active multiple myeloma (MM). She had a minimal response after two different regimens of bortezomib-based treatments and monthly zoledronic acid, and was placed on maintenance therapy with bortezomib, intravenous dexamethasone, and oral methylprednisolone, as well as ongoing monthly zoledronic acid. After 1 year of this maintenance therapy, during which her myeloma markers remained unchanged, she had her silicone implant replaced with saline. Despite no change in her myeloma treatment, her laboratory values began to steadily improve following removal of the silicone implant. Her M-protein decreased from 2.14 to 0.83 g/dL and her IgG levels from 3,330 to 1,210 mg/dL following replacement of her silicone implant with saline. To our knowledge, this is the first report in which removal of silicone implants improved the clinical status of a patient with MM following a year of maintenance therapy during which the patient’s myeloma laboratory values remained unchanged. Further studies are warranted to determine if silicone breast implant removal can, in fact, improve MM patients’ disease status.
An Atypical Presentation of CLIPPERS, a Challenging Diagnosis of Reversible Early-Onset Dementia
Authors: Russo Mirella , Piermartiri Alberto , Carrarini Claudia , Dono Fedele , De Angelis Maria Vittoria , Sensi Stefano L. , Onofrj Marco , Bonanni Laura
Published: September 2020

Chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids (CLIPPERS) is a rare inflammatory disorder featured by pontocerebellar dysfunctions and, in some cases, later cognitive disturbances. Here, we describe an atypical presentation of CLIPPERS, characterized by clinical onset with neuropsychiatric and cognitive symptoms. A 45-year-old man was referred to our Memory Clinic due to difficulties at work for over a month, caused by confusion and asthenia. Furthermore, insomnia and mood changes appeared. These disturbances were unresponsive to antipsychotic and antidepressant drugs. At admission, the patient presented also with severe cognitive impairment, urinary incontinence, ataxic gait, and limitation of lateral conjugate gaze. During the hospitalization, the patient underwent cerebrospinal fluid analysis, serum systemic autoimmune disorders laboratory research, neoplastic markers analysis, and brain MRI scan. The radiological and laboratory findings were compatible with the diagnosis of CLIPPERS. The sudden clinical and radiological improvement of the patient’s conditions, after only a week of steroid therapy, further confirmed our clinical suspicion. The present case enhances the necessity to consider CLIPPERS in the differential diagnosis of pre-senile cognitive impairment, even in the absence of early pontocerebellar neurological signs. Before the spreading of the neuroinflammatory and degenerative processes, CLIPPERS represents one among the few possible reversible causes of cognitive decline.
The Feasibility, Technique, and Medium-Term Follow-Up of Laparoscopic Transvesical Diverticulectomy
Authors: Eredics Klaus , Rauchenwald Michael , Lusuardi Lukas , Kunit Thomas , Klingler Hans Christoph , Gronostaj Katarzyna , Sevcenco Sabina
Published: September 2020

Background: To present our experience and results with the transvesical laparoscopic diverticulectomy, developed by Pansadoro et al. [BJU Int. 2009;103(3):412–24], as treatment of symptomatic bladder diverticula, with a medium-term follow-up. Methods: Between June 2010 and July 2018, we successfully operated 15 patients (13 male/2 female), aged 32–85 years (mean age 61 years) in 2 centers in Austria, using the aforementioned technique. Results: The median operative time was 297 min (range 83–488 min), and the blood loss was minimal. The median diameter of the diverticula was 94 mm (range 40–110 mm). The transurethral catheter was removed in most patients on day 7 (range 1–26 days), and cystography was performed before catheter removal. Patients were discharged on the ninth postoperative day (range 4–18 days). One case had a Clavien-Dindo grade IIIb complication (ureter injury), and 2 cases had a grade IIIa complication (nephrostomy drainage). After a median follow-up of 19 months, no recurrences were observed. Conclusion: The laparoscopic, transvesical diverticulectomy is a feasible and valuable procedure with good outcomes. To avoid complications, the ureter needs to be spared meticulously.
Real-time simulation of static synchronous condenser (STATCOM) for compensation of reactive power
Authors: Hinda Abdellatif , Khiat Mounir
Published: September 2020

This paper presents a real time simulation stability of power system by static synchronous condenser (STATCOM) in modern platform real-time simulator named (RT-LAB) using the latest INTEL quad-core processors to simulate a relatively large power system In our work, We have to study the problem of controlling voltage and reactive power in electric system by static synchronous condenser (STATCOM). All the simulations for the above work have been carried out using MATLAB /Simulink and RT-LAB Various simulations have given very satisfactory results and we have successfully improved the voltage by injecting a FACTS device, which is the STATCOM, the Studies and Comparisons of real-time simulation results of the power system with and without STATCOM connected illustrate the effectiveness and capability of STATCOM in improving voltage stability in power system.
Investigation of deformation of the cornea during tonometry using FEM
Authors: R. B. Bharathi , Prabhu Gopalakrishna , S. Ve Ramesh , Poojary Rakshath , Sundaram S. Meenatchi
Published: September 2020

A three dimensional finite element model of the human eye is developed to evaluate the force which will be applied over the surface of cornea during tonometry and gonioscopy tests. The standard tonometers and gonioscopy experiences deformation from 0.5mm to 3mm of the cornea is adopted during both point contact and boundary contact on the surface of the cornea. The results demonstrate the maximum force experienced by the tonometer with point contact at the center of the cornea for the maximum possible deformation of the cornea during tonometry. The study also analyzes for the force experienced by the tonometer or goniolens with boundary layer contact for the defined deformation of the cornea along the direction from cornea towards the retina.
A Haptic feedback system based on leap motion controller for prosthetic hand application
Authors: Abdul-Ameer Hussam K. , Abdul-Kreem Luma Issa , Adnan Huda , Sami Zahra
Published: September 2020

Leap Motion Controller (LMC) is a gesture sensor consists of three infrared light emitters and two infrared stereo cameras as tracking sensors. LMC translates hand movements into graphical data that are used in a variety of applications such as virtual/augmented reality and object movements control. In this work, we intend to control the movements of a prosthetic hand via (LMC) in which fingers are flexed or extended in response to hand movements. This will be carried out by passing in the data from the Leap Motion to a processing unit that processes the raw data by an open-source package (Processing i3) in order to control five servo motors using a micro-controller board. In addition, haptic setup is proposed using force sensors (FSR) and vibro-motors in which the speed of these motors is proportional to the amount of the grasp force exerted by the prosthetic hand. Investigation for optimal placement of the FSRs on a prosthetic hand to obtain convenient haptic feedback has been carried out. The results show the effect of object shape and weight on the obtained response of the FSR and how they influence the locations of the sensors.
A New design of fuzzy logic controller optimized By PSO-SCSO applied To SFO-DTC induction motor drive
Authors: Taieb Ali , Ferdjouni Abdellaziz
Published: September 2020

In this paper, a new strategy for the design of fuzzy logic controllers (FLC) is proposed. This strategy is based on the optimization, by the particle swarm optimization (PSO) Algorithm and by sine-cosine based swarm optimization (SCSO) Algorithm, of the input-output gains and the geometric forms of the triangular membership functions of the proposed FLC. This latter is obtained by the minimizing a cost function based on combining two criterions, the Integral Time Absolute Error (ITAE) and Integral Absolute Error (IAE). A comparison, between the conventional FLC and the proposed FLC is carried out. The PSO-FLC shows a remarkable improvement in the performances of the controlled induction motor.
Compressive spectrum sensing using two-stage scheme for cognitive radio networks
Authors: Taher Montadar Abas , Ahmed Mohammad Z. , Salman Emad Hmood
Published: September 2020

The modern applications of communications that use wideband signals suffer the lacking since the resources of this kind of signals are limited especially for fifth generation (5G). The Compressive Spectrum Sensing (COMPSS) techniques address such issues to reuse the detected signals in the networks and applications of 5G. However, the raw techniques of COMPSS have low compression ratio and high computational complexity rather than high level of noise variance. In this paper, a hybrid COMPSS scheme has been developed for both non-cooperative and cooperative cognitive radio networks. The proposed scheme compiles on discrete wavelet transform – single resolution (DWT-SR) cascaded with discrete cosine transform (DCT). The first is constructed according to the pyramid algorithm to achieve 50% while the second performed 30% compression ratios. The simulation and analytic results reveal the significant detection performance of the proposed technique is better than that of the raw COMPSS techniques.
Medical vision: web and mobile medical image retrieval system based on google cloud vision
Authors: Darma Putra I Ketut Gede , Sri Asra Dewa Made , Dwiva Hardijaya I Gusti Ngurah , Surya Prabawa I Gede Galang , Satia Widiatmika I Made Aris
Published: September 2020

The application of information technology is rapidly utilized in the medical system. There is also a massive development in the automatic method for recognizing and detecting objects in the real world. In this study, we present a system called Medical Vision which is designed for people who has no expertise in medical. Medical Vision is a web and mobile-based application to give an initial knowledge in a medical image. This system has 5 features; object detection, web detection, object labeling, safe search, and image properties. These features are run by embedding Google Vision API in the system. We evaluate this system by observing the result of some medical images which inputted into the system. The results showed that our system presents a promising performance and able to give relevant information related to the given image.
Sliding mode performance control applied to a DFIG system for a wind energy production
Authors: FatimaZohra Mansouri , Mokhtar Bendjebbar , Benyounes Mazari
Published: September 2020

This project presents a strategy of field control then sliding mode control put in to the conversion process of wind energy containing an asynchronous generator with double fed (DFAG; DFIG). A model was developed for each component of the wind turbine (turbine, DFAG and cascade rectifier-inverter). MPPT device must be introduced in order to obtain maximum energy efficiency so that PI-MPPT method is made. The objective is to apply this command to control independently the active and reactive powers generated by the asynchronous generator uncoupled by orientation from the flow. The results of digital simulations obtained show the improvement of the performances of the sliding control compared to the field control, also it has provided information on the commands available techniques as reference tracking and robustness.
A generalized switching function-based SVM algorithm of single-phase three-leg converter with active power decoupling
Authors: Srirattanawichaikul Watcharin
Published: September 2020

In this paper, a generalized switching function-based space vector modulation (SVM) algorithm is presented and evaluated to minimize the dc voltage utilization and the ac utility grid current total harmonic distortion. This paper explores the control and modulation techniques of a single-phase three-leg converter with an active power decoupling method, where a generalized SVM algorithm is proposed and evaluated for easy implementation in a digital control platform. The active power decoupling method with the proposed converter can be achieved via dependent control and modulation techniques. The control method is separated into the ac active power control part and the dc power ripple control part, which can maintain a unity power factor at the ac utility grid and reduced the double-frequency ripple power effect on the dc-side. Simulation results validate the performance of the modulation algorithm and its control and demonstrate the feasibility of the proposed power converter, as well as the two mentioned operation modes of the power converter.
Identification of interstitial lung diseases using deep learning
Authors: Raju Nidhin , H. B. Anita , Augustine Peter
Published: September 2020

The advanced medical imaging provides various advantages to both the patients and the healthcare providers. Medical Imaging truly helps the doctor to determine the inconveniences in a human body and empowers them to make better choices. Deep learning has an important role in the medical field especially for medical image analysis today. It is an advanced technique in the machine learning concept which can be used to get efficient output than using any other previous techniques. In the anticipated work deep learning is used to find the presence of interstitial lung diseases (ILD) by analyzing high-resolution computed tomography (HRCT) images and identifying the ILD category. The efficiency of the diagnosis of ILD through clinical history is less than 20%. Currently, an open chest biopsy is the best way of confirming the presence of ILD. HRCT images can be used effectively to avoid open chest biopsy and improve accuracy. In this proposed work multi-label classification is done for 17 different categories of ILD. The average accuracy of 95% is obtained by extracting features with the help of a convolutional neural network (CNN) architecture called SmallerVGGNet.
Reliable and efficient data dissemination schemein VANET: a review
Authors: Rashid Sami Abduljabbar , Audah Lukman , Hamdi Mustafa Maad , Abood Mohammed Salah , Alani Sameer
Published: September 2020

Vehicular ad-hoc network (VANET), identified as a mobile ad hoc network MANETs with several added constraints. Basically, in VANETs, the network is established on the fly based on the availability of vehicles on roads and supporting infrastructures along the roads, such as base stations. Vehicles and road-side infrastructures are required to provide communication facilities, particularly when enough vehicles are not available on the roads for effective communication. VANETs are crucial for providing a wide range of safety and non-safety applications to road users. However, the specific fundamental problem in VANET is the challenge of creating effective communication between two fast-moving vehicles. Therefore, message routing is an issue for many safety and non-safety of VANETs applications. The challenge in designing a robust but reliable message dissemination technique is primarily due to the stringent QoS requirements of the VANETs safety applications. This paper investigated various methods and conducted literature on an idea to develop a model for efficient and reliable message dissemination routing techniques in VANET.
The feasibility of obstacle awareness forwarding scheme in a visible light communication vehicular network
Authors: Kristiana Lisa , Darlis Arsyad Ramadhan , Dewi Irma Amelia
Published: September 2020

A vehicular-to-vehicular (V2V) communication is a part of a vehicular ad-hoc network (VANET) that emerges recently due to the heavy traffic environment. V2V is a frequently changing network since it implements vehicles as mobile nodes. The challenges in implementing V2V are the relatively short duration of possible communication and the uneven city environment caused by high rise buildings or other objects that distract

the signal transmission. The limited transmitting duration between vehicles requires efficient coordination and communication. This work focuses on the utility of visible light communication in vehicular network (VLC-VN) in data transmitting and the obstacle awareness in the forwarding scheme based on our knowledge in previous researches. The result of evaluating the feasibility of VLC-VN forwarding in a freeway environment the transmission delay is lower than 1 second in 500 byte data transmission, however it reaches to only about 4% in throughput as a drawback.
Feature extraction of electrocardiogram signal using machine learning classification
Authors: Kuila Sumanta , Dhanda Namrata , Joardar Subhankar
Published: September 2020

In this article, we'll introduce ways to build virtual worlds through different computer programs. We will show the method of rectangles for analyzing data obtained from the electroencephalogram. We will demonstrate basic mathematical models for movement prediction in a system of virtual reality. Using this data, the main transformations are possible-change of position and rotation (change of orientation).
Evaluation of graphic effects embedded image compression
Authors: Jittawiriyanukoon Chanintorn , Srisarkun Vilasinee
Published: September 2020

A fundamental factor of digital image compression is the conversion processes. The intention of this process is to understand the shape of an image and to modify the digital image to a grayscale configuration where the encoding of the compression technique is operational. This article focuses on an investigation of compression algorithms for images with artistic effects. A key component in image compression is how to effectively preserve the original quality of images. Image compression is to condense by lessening the redundant data of images in order that they are transformed cost-effectively. The common techniques include discrete cosine transform (DCT), fast Fourier transform (FFT), and shifted FFT (SFFT). Experimental results point out compression ratio between original RGB images and grayscale images, as well as comparison. The superior algorithm improving a shape comprehension for images with grahic effect is SFFT technique.
Functional magnetic resonance imaging-based brain decoding with visual semantic model
Authors: Saengpetch Piyawat , Pipanmemekaporn Luepol , Kamolsantiroj Suwatchai
Published: September 2020

The activity pattern of the brain has been activated to identify a person in mind. Using the function magnetic resonance imaging (fMRI) to decipher brain decoding is the most accepted method. However, the accuracy of fMRI-based brain decoder is still restricted due to limited training samples. The limitations of the brain decoder using fMRI are passed through the design features proposed for many label coding and model training to predict these characteristics for a particular label. Moreover, what kind of semantic features for deciphering the neurological activity patterns are unclear. In current work, a new calculation model for learning decoding labels that is consistent with fMRI activity responses. The approach demonstrates the proposed corresponding label's success in terms of accuracy, which is decoded from brain activity patterns and compared with conventional text-derived feature technique. Besides, experimental studies present a training model based on multi-tasking to reduce the problems of limited training data sets. Therefore, the multi-task learning model is more efficient than modern methods of calculation, and decoding features may be easily obtained.
Enhanced sunflower optimization for placement distributed generation in distribution system
Authors: Nguyen Thuan Thanh
Published: September 2020

Installation of distribution generation (DG) in the distribution system gains many technical benefits. To obtain more benefits, the location and size of DG must be selected with the appropriate values. This paper presents a method for optimizing location and size of DG in the distribution system based on enhanced sunflower optimization (ESFO) to minimize power loss of the system. In which, based on the operational mechanisms of the original sunflower optimization (SFO), a mutation technique is added for updating the best plant. The calculated results on the 33 nodes test system have shown that ESFO has proficiency for determining the best location and size of DG with higher quality than SFO. The compared results with the previous methods have also shown that ESFO outperforms to other methods in term of power loss reduction. As a result, ESFO is a reliable approach for the DG optimization problem.
An area efficient memory-less ROM design architecture for direct digital frequency synthesizer
Authors: Alkurwy Salah , Ali Sawal H. , Islam Md. Shabiul , Idros Faizul
Published: September 2020

This paper introduces a new technique of designing a read-only memory (ROM) circuit, namely; memory-less ROM as a novel approach to designing the ROM lookup table (LUT) circuit for use in a direct digital frequency synthesizer (DDFS). The proposed DDFS design uses the pipelined phase accumulator (PA) based on the kogge-stone (KS) adder. Verilog HDL programming is encoded on the architecture circuit of pipelined PA and contrasted with other PA based on various adders. The obtained results define the KS adder as having good capabilities for improving the throughput. In addition to the quarter symmetry technique, the built memory-less ROM to obtain the quarter sine amplitude waveform is proposed and implemented in the DDFS system. The implementation of the proposed technique replaces the necessary ROM registers (384 D flip-flops) and multiplexers with simple logic gate circuits instead of traditional ROMs. This technique would reduce the area size and cell count by 56% and 32.6% respectively.
Robust adaptive controller for wheel mobile robot with disturbances and wheel slips
Authors: Vu Nga Thi-Thuy , Ong Loc Xuan , Trinh Nam Hai , Huong Pham Sen Thi
Published: September 2020

In this paper an observer based adaptive control algorithm is built for wheel mobile robot (WMR) with considering the system uncertainties, input disturbances, and wheel slips. Firstly, the model of the kinematic and dynamic loops is shown with presence of the disturbances and system uncertainties. Next, the adaptive controller for nonlinear mismatched disturbance systems based on the disturbances observer is presented in detail. The controller includes two parts, the first one is for the stability purpose and the later is for the disturbances compensation. After that this control scheme is applied for both two loops of the system. In this paper, the stability of the closed system which consists of two control loops and the convergence of the observers is mathematically analysed based on the Lyapunov theory. Moreover, the proposed model does not require the complex calculation so it is easy for the implementation. Finally, the simulation model is built for presented method and the existed one to verify the correctness and the effectiveness of the proposed scheme. The simulation results show that the introduced controller gives the good performances even that the desired trajectory is complicated and the working condition is hard.
GPON and V-band mmWave in green backhaul solution for 5G ultra-dense network
Authors: Ajani Ayodeji Akeem , Oduol Vitalice Kalecha , Adeyemo Zachaeus Kayode
Published: September 2020

Ultra-dense network (UDN) is characterized by massive deployment of small cells which resulted into complex backhauling of the cells. This implies that for 5G UDN to be energy efficient, appropriate backhauling solutions must be provided. In this paper, we have evaluated the performance of giga passive optical network (GPON) and V-band millimetre wave (mmWave) in serving as green backhaul solution for 5G UDN. The approach was to first reproduce existing backhaul solutions in Very Dense Network (VDN) scenario which served as benchmark for the performance evaluation for the UDN scenario. The best two solutions, GPON and V-band solutions from the VDN were then deployed in 5G UDN scenario. The research was done by simulation in MATLAB. The performance metrics used were power consumption and energy efficiency against the normalized hourly traffic profile. The result revealed that GPON and V-band mmWave outperformed other solutions in VDN scenario. However, this performance significantly dropped in the UDN scenariodue to higher data traffic requirement of UDN compared to VDN. Thus, it can be concluded that GPON and V-band mmWave are not best suited to serve as green backhaul solution for 5G UDN necessitating further investigation of other available backhaul technologies.
Adaptive key generation algorithm based on software engineering methodology
Authors: Croock Muayad Sadik , Hassan Zahraa Abbas , Khudhur Saja Dhyaa
Published: September 2020

Recently, the generation of security keys has been considered for guaranteeing the strongest of them in terms of randomness. In addition, the software engineering methodologies are adopted to ensure the mentioned goal is reached. In this paper, an adaptive key generation algorithm is proposed based on software engineering techniques. The adopted software engineering technique is self-checking process, used for detecting the fault in the underlying systems. This technique checks the generated security keys in terms of validity based on randomness factors. These factors include the results of National Institute of standard Test (NIST) tests. In case the randomness factors are less than the accepted values, the key is regenerated until obtaining the valid one. It is important to note that the security keys are generated using shift register and SIGABA technique. The proposed algorithm is tested over different case studies and the results show the effective performance of it to produce well random generated keys.
Differential evolution detection models for SMS spam
Authors: Hameed Sarab M.
Published: September 2020

With the growth of mobile phones, short message service (SMS) became an essential text communication service. However, the low cost and ease use of SMS led to an increase in SMS Spam. In this paper, the characteristics of SMS spam has studied and a set of features has introduced to get rid of SMS spam. In addition, the problem of SMS spam detection was addressed as a clustering analysis that requires a metaheuristic algorithm to find the clustering structures. Three differential evolution variants viz DE/rand/1, jDE/rand/1, jDE/best/1, are adopted for solving the SMS spam problem. Experimental results illustrate that the jDE/best/1 produces best results over other variants in terms of accuracy, false-positive rate and false-negative rate. Moreover, it surpasses the baseline methods.
Smart job searching system based on information retrieval techniques and similarity of fuzzy parameterized sets
Authors: Alksasbeh Malek , Abukhalil Tamer , Alqaralleh Bassam A. Y. , Al-kaseasbeh Mohammed
Published: September 2020

Job searching for the proper vacancy among several choices is one of the most important decision-making problems. The necessity of dealing with uncertainty in such real-world problems has been a long-term research challenge which has originated from different methodologies and theories. The main contribution of this work is to match the applicant curriculum vitae (CV) with the best available job opportunities based on certain criteria. The proposed job searching system (JSS) implements a series of approaches which can be broken down into segmentation, tokenization, part of speech, gazetteer, and fuzzy inference to extract and arrange the required data from the job announcements and CV. Moreover, this study designs a fuzzy parameterized structure to store such data as well as a measuring tool to calculate the degree of similarity between the job requirements and the applicant’s CV. In addition, this system analyses the computed similarity scores in order to get the optimal job opportunities for the job seeker in descending order. The performance evaluation of the proposed system shows high recall and precision percentages for the matching process. The results also confirm the viability of the JSS approach in handling the fuzziness that is associated with the problem of job searching.
Invariant behavioural based discrimination for individual representation
Authors: Leng Wong Yee , Shamsuddin Siti Mariyam , Hashim Nor Azman
Published: September 2020

Writer identification based on cursive words is one of the extensive behavioural biometric that has involved many researchers to work in. Recently, its main idea is in forensic investigation and biometric analysis as such the handwriting style can be used as individual behavioural adaptation for authenticating an author. In this study, a novel approach of presenting cursive features of authors is presented. The invariants-based discriminability of the features is proposed by discretizing the moment features of each writer using biometric invariant discretization cutting point (BIDCP). BIDCP is introduced for features perseverance to obtain better individual representations and discriminations. Our experiments have revealed that by using the proposed method, the authorship identification based on cursive words is significantly increased with an average identification rate of 99.80%.
A two-stage power amplifier design for ultra-wideband applications
Authors: Al-Kofahi Idrees S. , Albataineh Zaid , Dagamseh Ahmad
Published: September 2020

In this paper, a two-stage 0.18 μm CMOS power amplifier (PA) for ultra-wideband (UWB) 3 to 5 GHz based on common source inductive degeneration with an auxiliary amplifier is proposed. In this proposal, an auxiliary amplifier is used to place the 2nd harmonic in the core amplified in order to make up for the gain progression phenomena at the main amplifier output node. Simulation results show a power gain of 16 dB with a gain flatness of 0.4 dB and an input 1 dB compression of about -5 dBm from 3 to 5 GHz using a 1.8 V power supply consuming 25 mW. Power added efficiency (PAE) of around 47% at 4 GHz with 50 Ω load impedance was also observed.
Performance comparison between variants PID controllers and unity feedback control system for the response of the angular position of the DC motor
Authors: Mhawesh Mustafa A.
Published: September 2020

This paper proposed a detailed study for the response of angular position of the rotor of a DC motor. It is a comparative analysis to the behavior of the DC motor when the motor is alone and when it is with controllers. Furthermore, a comparison between the responses of controllers themselves. A conventional PID controller which was tuned by using Ziegler and Nichols method was proposed in this paper. Also, Modification PID controllers were proposed in this paper. The modification PID controllers are PI-D controller and I-PD controller. Mathematical calculations were done to get the transfer functions for the DC motor and the controllers. Time domain specifications and figures were obtained for each case by using Matlab program. The obtained results were summarized in tables. This paper determined which the controller is the best one depending on the obtained figures and the time domain specifications.
Improved feature exctraction process to detect seizure using CHBMIT-dataset
Authors: T. H. Raveendra Kumar , Narayanappa C. K.
Published: September 2020

One of the most dangerous neurological disease, which is occupying worldwide, is epilepsy. Fraction of second nerves in the brain starts impulsion i.e. electrical discharge, which is higher than the normal pulsing. So many researches have done the investigation and proposed the numerous methodology. However, our methodology will give effective result in feature extraction. Moreover, we used numerous number of statistical moments features. Existing approaches are implemented on few statistical moments with respect to time and frequency. Our proposed system will give the way to find out the seizure-effected part of the brain very easily using TDS, FDS, Correlation and Graph presentation. The resultant value will give the huge difference between normal and seizure effected brain. It also explore the hidden features of the brain.