bluuebunny/crossref_metadata_2025 huggingface dataset:
p53 Is Not Required for High CIN to Induce Tumor Suppression
Authors: Funk Laura C. , Wan Jun , Ryan Sean D. , Kaur Charanjeet , Sullivan Ruth , Roopra Avtar , Weaver Beth A.
Published: September 2020

Chromosomal instability (CIN) is a hallmark of cancer. While low levels of CIN can be tumor promoting, high levels of CIN cause cell death and tumor suppression. The widely used chemotherapeutic, paclitaxel (Taxol), exerts its anticancer effects by increasing CIN above a maximally tolerated threshold. One significant outstanding question is whether the p53 tumor suppressor is required for the cell death and tumor suppression caused by high CIN. Both p53 loss and reduction of the mitotic kinesin, centromere-associated protein-E, cause low CIN. Combining both genetic insults in the same cell leads to high CIN. Here, we test whether high CIN causes cell death and tumor suppression even in the absence p53. Despite a surprising sex-specific difference in tumor spectrum and latency in p53 heterozygous animals, these studies demonstrate that p53 is not required for high CIN to induce tumor suppression. Pharmacologic induction of high CIN results in equivalent levels of cell death due to loss of essential chromosomes in p53+/+ and p53−/− cells, further demonstrating that high CIN elicits cell death independently of p53 function.

Implications:

These results provide support for the efficacy of anticancer therapies that induce high CIN, even in tumors that lack functional p53.
Plasma Levels of Hepcidin and Reticulocyte Haemoglobin during Septic Shock
Authors: Olinder Jon , Ehinger Daniel , Liljenborg Erik , Herwald Heiko , Rydén Cecilia
Published: September 2020

Septic shock, a serious consequence of disseminated infection that has a high mortality, is due to a dysregulated, severe immune response triggered by the infection. Acute phase reactants play key roles in sepsis, for example, hepcidin regulating iron metabolism. Reticulocyte haemoglobin (Ret-He) depends on available iron in blood, indirectly regulated by hepcidin. This study aimed at exploring rapid changes in hepcidin and Ret-He in patients with septic shock receiving adequate antibiotic treatment. Fifteen patients, included within an hour of admission to the intensive care unit, were evaluated by microbiological tests and cultures, Sequential Organ Failure Assessment score, and plasma levels of hepcidin, Ret-He, heparin-binding protein (HBP), leucocytes, C-reactive protein, procalcitonin (PCT), and lactate. Samples were taken every morning for 7 consecutive days. Maximal levels of hepcidin (median 61 nmol/L; reference 1–12 nmol/L) were seen at the time of inclusion, then declining steadily similar to PCT and lactate levels. Ret-He values decreased transiently in response to increased hepcidin, normalization occurred at 96 h upon decrease of hepcidin levels. Maximal levels of HBP were noted 24 h after inclusion. In conclusion, hepcidin promptly declined within the first 24 h in patients with septic shock receiving adequate antibiotic treatment in contrast to Ret-He and HBP.
Effect of Flunarizine on Alternating Hemiplegia of Childhood in a Patient with the p.E815K Mutation in ATP1A3: A Case Report
Authors: Kusunoki Shouichirou , Kido Jun , Momosaki Ken , Sawada Takaaki , Kashiki Tomoko , Matsumoto Shirou , Nakamura Kimitoshi
Published: September 2020

Alternating hemiplegia of childhood (AHC) (MIM 104290) is characterized by transient repeated attacks of paresis on either or both sides of the body, oculomotor and autonomic abnormalities, movement disorders, and cognitive impairment. Preventing paroxysmal attacks, such as paresis and spasm, in patients with AHC is often difficult. An 8-month-old girl presented to our institution with intractable epilepsy. She developed AHC, with left-right alternating or bilateral recurrent plegia upon waking, involuntary movements, eye movement abnormalities, and psychomotor retardation. She had a heterozygous de novo p.E815K mutation in the ATP1A3gene. Patients with this mutation develop severe hemiplegic spells and convulsions, have a poor neuromotor developmental outcome, and are particularly difficult to treat. Flunarizine treatment has limited therapeutic effect in such patients; however, it was definitely effective for bulbar palsy in the present case. The present case further highlights the need for the development of other new treatments, such as a ketogenic diet.
The Impact of Smoking Cessation and Continuation on Recurrence and Survival in Patients with Head and Neck Cancer: A Systematic Review of the Literature
Authors: von Kroge Patricia R. , Bokemeyer Frederike , Ghandili Susanne , Bokemeyer Carsten , Seidel Christoph
Published: September 2020

Background: The impact of smoking continuation or cessation on the outcome of head and neck cancer (HNC) patients concerning recurrence and survival rates is not well understood. We aimed to analyze the prognostic role of smoking habits in patients with newly diagnosed HNC and the effects on survival, recurrence rates, and second primary tumor (SPT) development. Methods: A systematic literature review of the databases PubMed and Web of Science was performed in October 2019 using the search words “head and neck cancer” and “smoking cessation.” Articles analyzing the effects of ongoing smoking or smoking cessation in HNC patients were included. Results: Twelve studies published from 1993 to 2016 including 6,308 patients with HNC of stages I–IV were eligible for analysis. The median follow-up was 5 years. Six of 8 studies revealed an improved outcome concerning the median overall survival or survival rates favoring smoking cessation. Regarding recurrence rates, 5 of 6 studies indicated a statistically significant benefit associated with smoking cessation, and 2 of 3 studies showed a lower risk for SPT associated with postdiagnosis smoking cessation. Conclusion: Smoking cessation in patients with newly diagnosed HNC is associated with improved outcomes concerning overall survival, recurrence rates, and SPTs. Further research is needed to validate these results and to evaluate the specific effects on different tumor types and treatment approaches.
Marble Burying in NMRI Male Mice Is Preferentially Sensitive to Pre- Versus Postsynaptic 5-HT1A Receptor Biased Agonists
Authors: Depoortere Ronan , Bardin Laurent , Auclair Agnès L. , Bruins Slot Liesbeth A. , Newman-Tancredi Adrian
Published: September 2020

Obsessive compulsive disorder (OCD) is a psychiatric disorder characterized by excessive and repetitive thoughts and gestures, mainly treated pharmacologically with selective serotonin reuptake inhibitors (SSRIs). The marble burying test in mice is commonly used to model OCD and has been shown to be sensitive to SSRIs, which decrease burying behavior. The activity of SSRIs in this model is mediated through activation of 5-hydroxytryptamine (5-HT) 1A receptors, but the respective implication of pre- versus postsynaptic 5-HT1A receptors has not been elucidated. Here, we investigated marble burying behavior by male NMRI mice following acute administration of 3 biased agonists, which preferentially activate presynaptic 5-HT1A receptors (F13714) or postsynaptic receptors (NLX-101) or which exhibit balanced activation of both pre- and postsynaptic 5-HT1A receptors (NLX-112). When administered at the dose of 2.5 mg/kg i.p., all 3 biased agonists completely or nearly completely abolished marble burying behavior. However, they varied in their potency with minimal effective doses of 0.16, 0.63, and 2.5 mg/kg i.p., for F13714, NLX-112, and NLX-101, respectively. The selective 5-HT1A receptor antagonist, WAY100,635 was inactive up to 2.5 mg/kg. These results suggest that marble burying behavior in male NMRI mice is preferentially sensitive to activation of pre- versus postsynaptic 5-HT1A receptors. Moreover, they suggest that targeting 5-HT1A receptors with biased agonists could provide an innovative therapeutic approach to combat OCD.
White Blood Cell Count Nadir and Duration of Aplasia Do Not Associate with Treatment Outcome in Adult Patients with Acute Myeloid Leukemia Undergoing Intensive Chemotherapy
Authors: Marras Tatiana , Dettori Michael , Caocci Giovanni , La Nasa Giorgio , Sotgiu Giovanni , Saderi Laura , Fozza Claudio
Published: September 2020

Introduction: Adult patients with acute myeloid leukemia (AML) are usually treated with intensive chemotherapy, leading to prolonged bone marrow aplasia. It is usually assumed that a short duration of aplasia could be a surrogate marker of poor therapeutic efficacy in clearing bone marrow blasts, especially in older patients. No studies have evaluated the usefulness of such a surrogate marker in younger AML patients treated with intensive chemotherapy. Materials and Methods: In the present study, we retrospectively assessed the role of white blood cell (WBC) count nadir and duration of aplasia in 68 patients with AML treated with intensive chemotherapy and potentially candidate to stem cell transplantation. Results: The median (interquartile range) bone marrow aplasia was 25 days, and the mean WBC count nadir from chemotherapy start was at day +12, whereas the median neutrophil recovery occurred at day +24. No significant differences were found between responders and nonresponders for mean aplasia duration (25 vs. 26 days, p value = 0.76), mean WBC count nadir (12 vs. 12 days, p value = 0.86), and median neutrophil recovery (24 vs. 24, p value = 0.67). Discussion: The present study evaluated the potential prognostic role of WBC count nadir and duration of aplasia, demonstrating that they are not associated with treatment outcomes in adult patients with AML treated with intensive chemotherapy. Therefore, a short duration of aplasia seems not linked to poor therapeutic efficacy in clearing bone marrow blasts. Our findings, although needing validation in larger and more homogeneous cohorts, may offer helpful clues in the management of aplasia of AML patients.
Bowel Arteriovenous Malformation: An Unusual Cause of Lower Gastrointestinal Bleeding in a Child
Authors: Govindarajan Krishna Kumar , Ananthakrishnan Ramesh , Jacob Sajini
Published: September 2020

In a child, lower gastrointestinal tract bleeding can be attributed to different etiologies. Unusually, the presence of bowel arteriovenous malformations can lead to multiple bouts of painless bright red bleeding per rectum, which develop into severe anemia. The article focuses on the diagnosis and management of bowel arteriovenous malformation in a child.
Real-World Efficacy of Fulvestrant Monotherapy as the First Treatment or Maintenance Treatment in Patients with Metastatic Breast Cancer
Authors: Lv Meng , Mao Yan , Ma Teng , Wang Yongmei , Liu Xiaoyi , Song Yuhua , Wang Haibo
Published: September 2020

Background: Fulvestrant 500 mg monotherapy is recommended as the first-line endocrine treatment in postmenopausal women with hormone receptor-positive metastatic breast cancer (MBC). It is also used in MBC maintenance treatment. However, few studies have compared the efficacy of fulvestrant during the initial treatment with that during maintenance treatment. Patients and Methods: MBC patients who were treated with fulvestrant either as initial therapy for metastatic disease or after progression following one line of chemotherapy between January 2016 and December 2017 were identified from the database of the Affiliated Hospital of Qingdao University. The primary end point was progression-free survival (PFS). Results: The study included 135 MBC patients who were treated with fulvestrant; 116 patients who received fulvestrant as first-line treatment were divided into 2 groups: the no-chemotherapy treatment (NCT) group received fulvestrant as initial therapy during disease progression, and the chemotherapy treatment (CT) group received fulvestrant as maintenance following disease stabilization or response to previous chemotherapy. The median PFS was 16 months in NCT patients and 8 months in the CT group. Patients who had a longer disease-free survival, no visceral metastasis and one metastasis site, benefited from fulvestrant as first-line treatment during disease progression. Patients with 2 or more metastasis sites benefited from chemotherapy as first-line treatment and fulvestrant as maintenance treatment. Conclusions: Fulvestrant monotherapy showed good clinical activity and safety in patients with MBC who were treated upon disease progression and in those receiving maintenance therapy.
Cutaneous Adnexal Carcinoma with Apocrine Differentiation: A Challenging Diagnosis and Personalized Treatment with mTOR Inhibitor in a Very Rare Disease
Authors: Libertini Michela , Oneda Ester , Di Biasi Brunella , Savelli Giordano , Zaniboni Alberto
Published: September 2020

Cutaneous adnexal carcinoma with apocrine differentiation is a rare neoplasm arising from cutaneous adnexa, especially of the head and neck and trunk region. Because of its rarity, the diagnosis is challenging and often impossible to distinguish from metastatic cutaneous adenocarcinoma of the breast. The standard of care remains surgery for resectable disease. To date, univocal guidelines for metastatic disease are lacking, particularly regarding systemic therapy. We report a clinical case of a patient diagnosed with cutaneous adnexal adenocarcinoma with apocrine differentiation of the left axilla with lymph node and bone metastasis. We started with carboplatin and paclitaxel chemotherapy regimen, with good response. After progression, we performed a next-generation sequencing analysis (by the Foundation One CDx test) to identify genomic alteration in cancer-related genes. We found PIK3CA and KRAS mutations. Due to this result, the patient started a second-line treatment with a personalized therapy including an mTOR inhibitor, everolimus, and, to date, he is still under treatment. To our knowledge, this is the first case of a patient responding both to chemotherapy and to a personalized treatment with an mTOR inhibitor. It is important to support the value of genomic screening in this rare neoplasm.
The assesement of the shunt active filter efficiency under varied power supply source and load parameters
Authors: Sychev Yuriy , Abramovich Boris , Prokhorova Veronika
Published: September 2020

The results of theoretical and experimental studies on the problems of effective application of shunt active filters for power quality improvement and electromagnetic compatibility ensuring were presented in this article. Based on the different theories and methods, the most effective and well-studied control algorithms of shunt active filters were determined and analyzed to ensure their effective application in distributed generation systems and combined power supply systems. Mathematical and computer simulation models of shunt active filters with different control algorithms in distributed generation systems and combined power supply systems were developed. According to the results of mathematical modeling and computer simulation, the dependences were detected, reflecting the influences of internal and external parameters on the factors, determining the efficiency of the correction of power quality indicators. The range of permissible changes in the parameters of shunt active filters by saving the required efficiency level of power quality correction was detected under varied power supply system characteristics, load parameters and also in hybrid structures. The adaptive algorithm of the shunt active filter functioning under varied application conditions for automated power quality improvement is developed on the basis
Temperature characteristics of FinFET based on channel fin width and working voltage
Authors: Atalla Yousif , Hashim Yasir , Abd. Ghafar Abdul Nasir , Jabbar Waheb A.
Published: September 2020

This paper shows the temperature sensitivity of FinFET and the possibility of using FinFET as a temperature Nano sensor based on Fin width of transistor. The multi-gate field effect transistor (MuGFET) simulation tool is used to examine the temperature effect on FinFET characteristics. Current-voltage characteristics with various temperatures and channel Fin width (WF= 5,10,20,40 and 80 nm) are at first simulated, the diode mode connection has been used in this study. The best temperature sensitivity of the FinFET is has been considered under the biggest ∆I at the working voltage VDD with range of 0–5 V. According to the results, the temperature sensitivity increased linearly with all the range of channel Fin width (5-80 nm), also, the lower gate Fin width (WF=5nm) with higher sensitivity can achieved with lower working voltage (VDD=1.25 V).
Gender classification using custom convolutional neural networks architecture
Authors: Kamaru Zaman Fadhlan Hafizhelmi
Published: September 2020

Gender classification demonstrates high accuracy in many previous works. However, it does not generalize very well in unconstrained settings and environments. Furthermore, many proposed Convolutional Neural Network (CNN) based solutions vary significantly in their characteristics and architectures, which calls for optimal CNN architecture for this specific task. In this work, a hand-crafted, custom CNN architecture is proposed to distinguish between male and female facial images. This custom CNN requires smaller input image resolutions and significantly fewer trainable parameters than some popular state-of-the-arts such as GoogleNet and AlexNet. It also employs batch normalization layers which results in better computation efficiency. Based on experiments using publicly available datasets such as LFW, CelebA and IMDB-WIKI datasets, the proposed custom CNN delivered the fastest inference time in all tests, where it needs only 0.92ms to classify 1200 images on GPU, 1.79ms on CPU, and 2.51ms on VPU. The custom CNN also delivers performance on-par with state-of-the-arts and even surpassed these methods in CelebA gender classification where it delivered the best result at 96% accuracy. Moreover, in a more challenging cross-dataset inference, custom CNN trained using CelebA dataset gives the best gender classification accuracy for tests on IMDB and WIKI datasets at 97% and 96% accuracy respectively.
LMI based antiswing adaptive controller for uncertain overhead cranes
Authors: Vu Nga Thi-Thuy
Published: September 2020

This paper proposes an adaptive anti-sway controller for uncertain overhead cranes. The state-space model of the 2D overhead crane with the system parameter uncertainties is shown firstly. Next, the adaptive controller which can adapt with the system uncertainties and input disturbances is established. The proposed controller has ability to move the trolley to the destination in short time and with small oscillation of the load despite the effect of the uncertainties and disturbances. Moreover, the controller has simple structure so it is easy to execute. Also, the stability of the closed-loop system is analytically proven. The proposed algorithm is verified by using Matlab/Simulink simulation tool. The simulation results show that the presented controller gives better performances (i.e., fast transient response, position tracking, and low swing angle) than the state feedback controller when there exist system parameter variations as well as input disturbances.
Design and implementation of a java based virtual laboratory for data communication simulation
Authors: Okoyeigbo Obinna , Agboje Edevbie , Omuabor Evioghene , Samson Uyi Aiyudubie , Orimogunje Abidemi
Published: September 2020

Students in this modern age find engineering courses taught in the university very abstract and difficult, and cannot relate theoretical calculations to real life scenarios. They consequently lose interest in their coursework and perform poorly in their grades. Simulation of classroom concepts with simulation software like MATLAB, were developed to facilitate learning experience. This paper involves the development of a virtual laboratory simulation package for teaching data communication concepts such as coding schemes, modulation and filtering. Unlike other simulation packages, no prior knowledge of computer programming is required for students to grasp these concepts.
Improving keyword extraction in multilingual texts
Authors: Hashemzahde Bahare , Abdolrazzagh-Nezhad Majid
Published: September 2020

The accuracy of keyword extraction is a leading factor in information retrieval systems and marketing. In the real world, text is produced in a variety of languages, and the ability to extract keywords based on information from different languages improves the accuracy of keyword extraction. In this paper, the available information of all languages is applied to improve a traditional keyword extraction algorithm from a multilingual text. The proposed keywork extraction procedure is an unsupervise algorithm and designed based on selecting a word as a keyword of a given text, if in addition to that language holds a high rank based on the keywords criteria in other languages, as well. To achieve to this aim, the average TF-IDF of the candidate words were calculated for the same and the other languages. Then the words with the higher averages TF-IDF were chosen as the extracted keywords. The obtained results indicat that the algorithms’ accuracis of the multilingual texts in term frequency-inverse document frequency (TF-IDF) algorithm, graph-based algorithm, and the improved proposed algorithm are 80%, 60.65%, and 91.3%, respectively.
An analysis of software aging in cloud environment
Authors: P. Shruthi , Cholli Nagaraj G.
Published: September 2020

Cloud Computing is the environment in which several virtual machines (VM) run concurrently on physical machines. The cloud computing infrastructure hosts multiple cloud service segments that communicate with each other using the interfaces. This creates distributed computing environment. During operation, the software systems accumulate errors or garbage that leads to system failure and other hazardous consequences. This status is called software aging. Software aging happens because of memory fragmentation, resource consumption in large scale and accumulation of numerical error. Software aging degrads the performance that may result in system failure. This happens because of premature resource exhaustion. This issue cannot be determined during software testing phase because of the dynamic nature of operation. The errors that cause software aging are of special types. These errors do not disturb the software functionality but target the response time and its environment. This issue is to be resolved only during run time as it occurs because of the dynamic nature of the problem. To alleviate the impact of software aging, software rejuvenation technique is being used. Rejuvenation process reboots the system or re-initiates the softwares. This avoids faults or failure. Software rejuvenation removes accumulated error conditions, frees up deadlocks and defragments operating system resources like memory. Hence, it avoids future failures of system that may happen due to software aging. As service availability is crucial, software rejuvenation is to be carried out at defined schedules without disrupting the service. The presence of Software rejuvenation techniques can make software systems more trustworthy. Software designers are using this concept to improve the quality and reliability of the software. Software aging and rejuvenation has generated a lot of research interest in recent years. This work reviews some of the research works related to detection of software aging and identifies research gaps.
An image-based gangrene disease classification
Authors: Nair Pramod Sekharan , Berihu Tsrity Asefa , Kumar Varun
Published: September 2020

Gangrene disease is one of the deadliest diseases on the globe which is caused by lack of blood supply to the body parts or any kind of infection. The gangrene disease often affects the human body parts such as fingers, limbs, toes but there are many cases of on muscles and organs. In this paper, the gangrene disease classification is being done from the given images of high resolution. The convolutional neural network (CNN) is used for feature extraction on disease images. The first layer of the convolutional neural network was used to capture the elementary image features such as dots, edges and blobs. The intermediate layers or the hidden layers of the convolutional neural network extracts detailed image features such as shapes, brightness, and contrast as well as color. Finally, the CNN extracted features are given to the Support Vector Machine to classify the gangrene disease. The experiment results show the approach adopted in this study performs better and acceptable.
A risk and security assessment of VANET availability using attack tree concept
Authors: Houmer Meriem , Hasnaoui Moulay Lahcen
Published: September 2020

The challenging nature of insecure wireless channels and the open-access environment make the protection of vehicular ad hoc network (VANET) a particularly critical issue. Researchers and interested authorities have therefore paid more attention to this issue. Therefore, robust approaches to protect this network's security and privacy against adversaries and attacks need to be improved, trying to achieve an adequate level, to secure the confidential information of drivers and passengers. Accordingly, to improve the security of VANET, it is necessary to carry out a risk assessment, in order to evaluate the risk that faces this network. This paper focuses on the security threats in vehicular network especially on the availability of this network. We propose a novel risk assessment approach to evaluate the risk of the attack that the attacker can lead against the availability of VANET. We adopt a tree structure called attack tree to model the attacker's potential attack strategies. Based on this attack tree model, we can estimate the degree that a certain threat can lead to the VANET and identify possible attack sequences that an attacker may launch against the availability of this network. Then we utilize the multi-attribute utility theory to calculate the system’s total risk value also the probabilities of each attack sequence. The analysis results can provide support for decision-makers to make corresponding protection measures against the attack on the availability of this network.
Transformation of WSDL files using ETL in the E-orientation domain
Authors: Jihad Adib , Hicham Moutachaouik , Abdelaziz Marzak , Mustapha Hain
Published: September 2020

The E-orientations platforms become an essential space for students to base their choice on tangible elements, as they offer a macroscopic view of the different academic and professional fields. In this context the Center for Engineering Sciences and Applied Sciences “SISA” funded the MMS Orientation project to focus on student orientation in Morocco. With respect to the peculiarity and the different characteristics of the E-orientation platforms, a comparative study is essential. In this article we will proceed by a comparative study of a sample of platforms in order to highlight the major functionalities that we will model through descriptive files. The work is divided into two parts: The first part will be a comparison and description of existing platforms using descriptive language (WSDL), the second part will use ETL as a transformation technology in order to highlight generic files that will serve as a basis for work. the expected meta model.
Development of a photovoltaic characteristics generator based on mathematical models for four PV panel technologies
Authors: Jenkal Samia , Kourchi Mustapha , Yousfi Driss , Benlarabi Ahmed , Elhafyani Mohamed Larbi , Ajaamoum Mohamed , Oubella Mhand
Published: September 2020

A good study of photovoltaic system requests to have very precise

current-voltage characteristic curves of photovoltaic modules for different technologies. The photovoltaic emulator provides an efficient solution to maintain the same current-voltage output of photovoltaic module. It includes three parts: the PV model, the control strategy, and the power converter. This paper provides three classes of modeling and simulation of photovoltaic arrays and presents the synthesis results of the current-voltage characteristic performances obtained by the modeling approaches. The models of the first class are based on electrical circuit model, those of the second class are based on multiple straight lines model, and for the third class, it is based on the look up table. The mathematical model is built using MATLAB/ Simulink, and an experimental bench was carried out to acquire an up-to-date and representative experimental database of four PV panels. This database is used for the validation of these models for the different PV panel technologies under Moroccan meteorological conditions. Following this comparative study, we came to a high agreement between the experimental and simulated current-voltage characteristics for the emulator under study.
Optimal planning of RDGs in electrical distribution networks using hybrid SAPSO algorithm
Authors: Ali Mohammed Hamouda , Mehanna Mohammed , Othman Elsaied
Published: September 2020

The impact of the renewable distributed generations (RDGs), such as photovoltaic (PV) and wind turbine (WT) systems can be positive or negative on the system, based on the location and size of the DG. So, the correct location and size of DG in the distribution network remain an obstacle to achieving their full possible benefits. Therefore, the future distribution networks with the high penetration of DG power must be planned and operated to improve their efficiency. Thus, this paper presents a new methodology for integrated of renewable energy-based DG units with electrical distribution network. Since the main objective of the proposed methodology is to reduce the power losses and improve the voltage profile of the radial distribution system (RDS). In this regard, the optimization problem was formulated using loss sensitivity factor (LSF), simulated annealing (SA), particle swarm optimization (PSO) and a combination of loss sensitivity index (LSI) with SA & PSO (LSISA, LSIPSO) respectively. This paper contributes a new methodology SAPSO, which prevents the defects of SA & PSO. Optimal placement and sizing of renewable energy-based DG tested on 33-bus system. The results demonstrate the reliability and robustness of the proposed SAPSO algorithm to find the near-optimal position and size of the DG units to mitigate the power losses and improve the radial distribution system's voltage profile.
Evaluation of lightweight battery management system with field test of electric bus in campus transit system
Authors: Srirattanawichaikul Watcharin , Wirasanti Paramet
Published: September 2020

A battery management system is a crucial part of a battery-powered electric vehicle, which functions as a monitoring system, state estimation, and protection for the vehicle. Among these functions, the state estimation, i.e., state of charge and remaining battery life estimation, is widely researched in order to find an accuracy estimation methodology. Most of the recent researches are based on the study of the battery cell level and the complex algorithm. In practice, there is a statement that the method should be simple and robust. Therefore, this research work is focused on the study of lightweight methodology for state estimation based on the battery pack. The discrete Coulomb counting method and the data-driven approach, based on the Palmgren-Miner method, are proposed for the estimation of the state of charge and remaining battery life, respectively. The proposed methods are evaluated through a battery-powered electric bus under real scenario-based circumstances in the campus transit system. In addition, the battery life-cycle cost analysis is also investigated. The tested bus has currently been in operation in the transit system for more than

one year.
Proportional-integral genetic algorithm controller for stability of TCP network
Authors: Sulttan Mohammed Qasim , Jaber Manal Hadi , Shneen Salam Waley
Published: September 2020

The life development and increase the number of internet users imposed an increase in data circulating on the internet network and then make the network more congestion. As a result of all this, some problems arose such as time delay in packets delivery, loss of packets, and exceed the buffer capacity for the middle routers. To overcome those problems, transmission control protocol and active queue management (TCP/AQM) have been used. AQM is the main approach used to control congestion and overcome those problems to improve network performance. This work proposes to use the proportional-integral (PI) controller with a genetic algorithm (GA) as an active queue manager for routers of the Internet. The simulation results show a good performance for managing the congestion with using proportional-integral genetic algorithm (GA-PI) controller better than the PI controller.
Enhance the chromatic uniformity and luminous efficiency of WLEDs with triple-layer remote phosphor structures
Authors: Phuong Loan Nguyen Thi , Le Anh Tuan
Published: September 2020

The angular color uniformity (ACU) with the ability to evaluate chromatic performance of WLED has become an important target to achieve in producing higher-quality WLEDs. This paper studies the ACU enhancing effects of novel triple-phosphor configuration in lighting devices with remote phosphor structure. Moreover, the optical influences of remote phosphor structure with three phosphor layers (TL) on WLEDs properties are calculated and compared to the dual-layer (DL) one for reference. The experiments are applied to devices at 5 distinct correlated color temperature ranging from 5600-8500 K. The results presented that DL structure attains better color rendering index (CRI) than the TL one. Meanwhile, in terms of color quality scales (CQS), TL model shows higher values at all ACCTs, compared to the DL. Moreover, the luminous flux of DL configuration is lower than that of TL structure. In addition, the diversion of color temperature depicts as D-CCT in TL structure is much better than the value in DL structure, especially at high ACCT as 8500 K, which means TL is good for chromatic uniformity of high ACCTs WLEDs. These results proved that the triple-layer structure is superior and more effective to apply for acquiring the enhancement of WLEDs package.
Investigating a theoretical framework for e-learning technology acceptance
Authors: Al Kurdi Barween , Alshurideh Muhammad , Salloum Said A.
Published: September 2020

E-learning has gained recognition and fame in delivering and distributing educational resources, and the same has become possible with the occurrence of Internet and Web technologies. The research seeks to determine the factors that influence students' acceptance of E-learning and to find out the way these factors determine the students' intention to employ E-learning. A theoretical framework was developed based on the technology acceptance model (TAM). To obtain information from the 270 university students who utilized the E-learning system, a questionnaire was formulated. The results revealed that “social influence, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use” are the strongest and most important predictors in the intention of and students towards E-learning systems. The outcomes offer practical implications for practitioners, lawmakers, and developers in effective E-learning systems implementation to improve ongoing interests and activities of university students in a virtual E-learning atmosphere, valuable recommendations for E-learning practices are given by the research findings, and these may turn out to be as guidelines for the efficient design of E-learning systems.
Software engineering based fault tolerance model for information system in plants shopping center
Authors: Nasir Saja , Croock Muayad , Al-Qaraawi Salih
Published: September 2020

The rapid development of mobile phone technologies in recent years promoted them for being used in various areas of life, such as commercial, health, transportation and tourism and other uses. In this paper, a software engineering based fault tolerance model is proposed to manage the expected faults in the adopted servers. The underlying QR based information system in plants shopping center employs different local serves allocated at local shops that are connected to the main server. In a fault case detection at any local server, the main server can cover the management of the system until the maintenance is completed. This is performed in efficient way as the main server keeps a copy of the information for all local branches. It is important to note that the self-checking process is adopted for fault detection. After completing the maintenance, a copy of the updated information is sent back to the investigated local server including all sales, etc. Moreover, the main and local servers contain information about all offer’s plants in different languages and in text and image form, customer's information and admin's information. The proposed system is tested in several cases to prove the efficiency and effectivity in retrieving and managing information and data as well as the fault tolerance administration.
Performance evaluation of different structures of power system stabilizers
Authors: Balasubbareddy M. , Murthy G. V. K. , Kumar K. Sowjan
Published: September 2020

The electric power from the system should be reliable and economical for consumer’s equipment satisfaction. An electric power system consists of many generators, transformers, transmission lines, loads, etc. For the power system network, dynamic performance and stability are important. The system is lost its stability by some disturbances i.e., load variations, generator failure, prime mover failure, transmission line outage, etc. Whenever load variations in the system, generator rotor speed will vary, means oscillations in the rotor speed, which is deviating from rated speed. The excitation system will control the generator rated line voltage. When fault occurs at any equipment in the system, the system will unstable. If fault occurs at generator, the generator oscillates. To reduce the oscillations and to make the system stable used power system stabilizers (PSS’s). Here, three types of PSS’s are used i.e., PSS1B, PSS2B, PSS4B. Comparisons of three PSS’s are on the multi machine system under some disturbance. From the observations, concluding that PSS4B is quickly control the oscillations in the physical parameters of machine in the system than other power system stabilizers.
DTC based on SVM for induction motor sensorless drive with fuzzy sliding mode speed controller
Authors: Massoum Sarra , Meroufel Abdelkader , Massoum Ahmed , Patrice Wira
Published: September 2020

By using the direct torque control (DTC), robust response in ac drives can be produced. Ripples of currents, torque and flux are oberved in steady state. space vector modulation (SVM) applied in DTC and used for a sensorless induction motor (IM) with fuzzy sliding mode speed controller (FSMSC) is studied in this paper. This control can minimize the torque, flux, current and speed pulsations in steady state. To estimate the rotor speed and stator flux the model reference adaptive system (MRAS) is used that is designed from identified voltages and currents. The FSMSC is used to enhance the efficiency and the robustness of the presented system. The DTC transient advantage are maintained, while better quality steady-state performance is produced in sensorless implementation for a wide speed range. The drive system performances have been checked by using Matlab Simultaion, and successful results have been obtained. It is deduced that the proposed control system produces better results than the classical DTC.
Power system operation considering detailed modelling of energy storage systems
Authors: Cantillo Sergio , Moreno Ricardo
Published: September 2020

The power system operation considering energy storage systems (ESS) and renewable power represents a challenge. In a 24-hour economic dispatch, the generation resources are dispatched to meet demand requirements considering network restrictions. The uncertainty and unpredictability associated with renewable resources and storage systems represents challenges for power system operation due to operational and economical restrictions. This paper develops a detailed formulation to model energy storage systems (ESS) and renewable sources for power system operation considering 24-hour period. The model is formulated and evaluated with two different power systems (i.e. 5-bus and IEEE modified 24-bus systems). Wind availability patterns and scenarios are used to assess the ESS performance under different operational circumstances. With regard to the systems proposed, there are scenarios in order to evaluate ESS performance. In one of them, the increase in capacity did not represent significant savings or performance for the system, while in the other it was quite the opposite especially during peak load periods.
Contactless digital tachometer using microcontroller
Authors: Palanisamy R. , Vidyasagar S. , Kalyanasundaram V. , Sridhar R.
Published: September 2020

Tachometer is a device that used for counting or for the measuring purpose of the number of revolutions (that is the total number rotations made by the device in unit of measuring time) of an object in unit time. It is expressed in the unit of RPS or RPM, the model uses a set of infrared transducer receiver to count the RPM pulses, and the Arduino microcontroller is used for the implementation of the project. The individual pulses are counted by the microcontroller to give the final output of the RPM.
An efficient of estimation stages for segmentation skin lesions based optimization algorithm
Authors: Hadi Nooraldeen Raaoof , Latif H. K. , Aljanabi Mohanad
Published: September 2020

Modern dermatology distinguishes premature diagnosis for example an important part in reducing the death percentage and promising less aggressive treatment for patients. The classifications comprise various stages that must be selected suitably using the characteristics of the filter pointing to get a dependable analysis. The dermoscopic images hold challenges to be faced and overcome to enhance the automatic diagnosis of hazardous lesions. It is calculated to survey a different metaheuristic and evolutionary computing working for filter design systems. Approximately general computing techniques are observed to improve features of infect design method. Nevertheless, the median filter (MF) is normally multimodal with respect to the filter factors and so, reliable approaches that can provide optimal solutions are required. The design of MF depends on modern artificial swarm intelligence technique (MASIT) optimization algorithm which has proven to be more effective than other population-based algorithms to improve of estimation stages for segmentation skin lesions. A controlled artificial bee colony (ABC) algorithm is advanced for solving factors optimization problems and, also the physical-programming-depend on ABC way is applied to proposal median filter, and the outcomes are compared to another approaches.
OFDM PAPR reduction for image transmission using improved tone reservation
Authors: Ghanim Zainab Noori , Omran Buthaina M.
Published: September 2020

High peak to average power ration (PAPR) in orthogonal frequency division multiplexing (OFDM) is an important problem, which increase the cost and complexity of high power amplifiers. One of the techniques used to reduce the PAPR in OFDM system is the tone reservation method (TR). In our work we propose a modified tone reservation method to decrease the PAPR with low complexity compared with the conventional TR method by process the high and low amplitudes at the same time. An image of size 128×128 is used as a source of data that transmitted using OFDM system. The proposed method decrease the PAPR by 2dB compared with conventional method with keeping the performance unchanged. The performance of the proposed method is tested with several numbers of subcarriers; we found that the PAPR is reduced as the number of subcarriers decreased.
Social-sine cosine algorithm-based cross layer resource allocation in wireless network
Authors: T. Praveena , S. Nagaraja G.
Published: September 2020

Cross layer resource allocation in the wireless networks is approached traditionally either by communications networks or information theory. The major issue in networking is the allocation of limited resources from the users of network. In traditional layered network, the resource are allocated at medium access control (MAC) and the network layers uses the communication links in bit pipes for delivering the data at fixed rate with the occasional random errors. Hence, this paper presents the cross-layer resource allocation in wireless network based on the proposed social-sine cosine algorithm (SSCA). The proposed SSCA is designed by integrating social ski driver (SSD) and sine cosine algorithm (SCA). Also, for further refining the resource allocation scheme, the proposed SSCA uses the fitness based on energy and fairness in which max-min, hard-fairness, proportional fairness, mixed-bias and the maximum throughput is considered. Based on energy and fairness, the cross-layer optimization entity makes the decision on resource allocation to mitigate the sum rate of network. The performance of resource allocation based on proposed model is evaluated based on energy, throughput, and the fairness. The developed model achieves the maximal energy of 258213, maximal throughput of 3.703, and the maximal fairness of 0.868, respectively.
A review of wearable sensors based monitoring with daily physical activity to manage type 2 diabetes
Authors: AlShorman Omar , Alshorman Buthaynah , Alkahtani Fahed
Published: September 2020

Globally, the aging and the lifestyle lead to rabidly increment of the number of type two diabetes (T2D) patients. Critically, T2D considers as one of the most challenging healthcare issue. Importantly, physical activity (PA) plays a vital role of improving glycemic control T2D. However, daily monitoring of T2D using wearable devices/ sensors have a crucial role to monitor glucose levels in the blood. Nowadays, daily physical activity (PA) and exercises have been used to manage T2D. The main contribution of the proposed study is to review the literature about managing and monitoring T2D with daily PA through wearable devices and sensors. Finally, challenges and future trends are also highlighted.
Text documents clustering using data mining techniques
Authors: Jalal Ahmed Adeeb , Ali Basheer Husham
Published: September 2020

Increasing progress in numerous research fields and information technologies, led to an increase in the publication of research papers. Therefore, researchers take a lot of time to find interesting research papers that are close to their field of specialization. Consequently, in this paper we have proposed documents classification approach that can cluster the text documents of research papers into the meaningful categories in which contain a similar scientific field. Our presented approach based on essential focus and scopes of the target categories, where each of these categories includes many topics. Accordingly, we extract word tokens from these topics that relate to a specific category, separately. The frequency of word tokens in documents impacts on weight of document that calculated by using a numerical statistic of term frequency-inverse document frequency (TF-IDF). The proposed approach uses title, abstract, and keywords of the paper, in addition to the categories topics to perform the classification process. Subsequently, documents are classified and clustered into the primary categories based on the highest measure of cosine similarity between category weight and documents weights.