bluuebunny/crossref_metadata_2025 huggingface dataset:
Varieties of general type with small volumes
Authors: Chen Jungkai Alfred , Lai Ching-Jui
Published: October 2019

We construct examples of [Formula: see text]-folds of general type with relatively small volumes with respect to [Formula: see text].
A Highly-Integrated, Switchless and Baluns-Embedded Transceiver with a Differential Structure for C-Band Radar Application
Authors: Cheng Guoxiao , Li Zhiqun , Li Zhennan , Wang Zengqi , Zhang Meng
Published: October 2019

This paper presents a highly-integrated transceiver with a differential structure for C-band (5–6[Formula: see text]GHz) radar application using a switchless and baluns-embedded configuration. To reduce the noise figure (NF) in receiver (Rx) mode and enhance the output power in transmitter (Tx) mode, the balun at RF port is embedded into the low-noise amplifier (LNA) and the power amplifier (PA), respectively. Besides, the RF switch is removed by designing the matching networks that both LNA and PA can share. The same topology is also adopted at the IF port. To achieve a high image rejection ratio (IRR), a Hartley architecture using polyphase filters (PPFs) is adopted. The proposed transceiver has been implemented in 1P6M 0.18-[Formula: see text]m CMOS process. The receiver achieves 6.9-dB NF, [Formula: see text]7.5-dBm IIP3 and 26.3-dB gain with three-step digital gain controllability. Also the measured IRR is better than 41[Formula: see text]dBc. The transmitter achieves 9.6-dBm output power and 19.2-dB gain. The chip consumes 106[Formula: see text]mA in the Rx mode and 141[Formula: see text]mA in the Tx mode from the 3.3-V power supply.
On sufficient conditions for being finite quandles
Authors: Bae Yongju , Kim Byeorhi
Published: October 2019

In 2006, Nelson and Wong introduced that every finite quandle can be decomposed into a disjoint union of some quandles and for given [Formula: see text] quandles satisfying certain conditions, there is a quandle which is a disjoint union of the [Formula: see text] quandles. In 2008, Ehrman, Gurpinar, Thibault and Yetter also introduced similar results about the decomposition of quandles. In this paper, we observe an operation table [Formula: see text] which consists of four sub-operation tables, where diagonal tables are quandle operations. We study which conditions make [Formula: see text] a quandle operation table.
Rescaling nonlinear noise for 1D stochastic parabolic equations
Authors: Goldys Beniamin , Neklyudov Misha
Published: October 2019

We show regularization effect of nonlinear gradient noise to the solution of 1D stochastic parabolic equation. We demonstrate convergence to a martingale (independent upon space variable) when we rescale noise at the extremum points of the process.
Performance analysis of the LapRSSLG algorithm in learning theory
Authors: Sheng Baohuai , Zhang Haizhang
Published: October 2019

It is known that one aim of semi-supervised learning is to improve the prediction performance using a few labeled data with a large set of unlabeled data. Recently, a Laplacian regularized semi-supervised learning gradient (LapRSSLG) algorithm associated with data adjacency graph edge weights is proposed in the literature. The algorithm receives success in applications, but there is no theory on the performance analysis. In this paper, an explicit learning rate estimate for the algorithm is provided, which shows that the convergence is indeed controlled by the unlabeled data.
Generalized support vector regression: Duality and tensor-kernel representation
Authors: Salzo Saverio , Suykens Johan A. K.
Published: October 2019

In this paper, we study the variational problem associated to support vector regression in Banach function spaces. Using the Fenchel–Rockafellar duality theory, we give an explicit formulation of the dual problem as well as of the related optimality conditions. Moreover, we provide a new computational framework for solving the problem which relies on a tensor-kernel representation. This analysis overcomes the typical difficulties connected to learning in Banach spaces. We finally present a large class of tensor-kernels to which our theory fully applies: power series tensor kernels. This type of kernels describes Banach spaces of analytic functions and includes generalizations of the exponential and polynomial kernels as well as, in the complex case, generalizations of the Szegö and Bergman kernels.
Characterization of Innovation Research Published in Latin American Journals Indexed in WoS
Authors: Naranjo-Valencia Julia , Vidal-Patiño Ricardo , Calderón-Hernández Gregorio
Published: October 2019

This paper presents a characterization and analysis of the content of academic production on innovation, published between 2008 and 2014 in Latin American journals with impact JCR (Journal Citation Report/WoS).aDuring this period, Latin America countries began to consolidate their system of scientific research, promoting their participation in global publications. Journals were selected according to their discipline, and articles were characterized in terms of a set of basic attributes, including the type of study, methodology, area of study, and topics explored. The results of this study show that the innovation research until 2014 is quite limited, few studies, low study complexity, unsophisticated analysis techniques and research fragmentation, which makes it difficult to compare regions and countries. It also highlights the need for a research agenda, which includes the systematic study of the determinants and effects of innovation, deepens in aspects related to innovation management such as technological and organizational capabilities, and discusses the design of innovation systems.
LEGAL UNFAIRNESS, ENTREPRENEURSHIP AND INNOVATION IN CHINA
Authors: WANG JUNMIN
Published: October 2019

The scholarship of entrepreneurship has identified the significance of institutional and social factors in accounting for entrepreneurial activity and firm innovation, especially in emerging economies and transitional societies. However, the lion’s share of the existent literature focuses on entrepreneurs’ characteristics and psychological traits and firms’ structures and strategies. In this study, I develop a relatively comprehensive analytic framework to study the interactive relationships between economic actors’ institutional trust, risk-taking activities and their risk-sharing with social and political actors in shaping firm innovativeness. By analyzing a nationally representative sample of Chinese private companies, I find that entrepreneurs’ legal confidence, risk-taking and risk-sharing activities are positively associated with firm innovativeness, respectively. Entrepreneurs’ risk-taking and risk-sharing activities can substitute for the role of entrepreneurs’ trust in China’s legal system in shaping firm innovativeness. Entrepreneurs’ social ties serve as the most salient factor that modulates the association between entrepreneurs’ institutional trust and innovative activities.
The main strategies for tuning BODIPY fluorophores into photosensitizers
Authors: Wang Jun , Gong Qingbao , Wang Long , Hao Erhong , Jiao Lijuan
Published: October 2019

Photodynamic therapy (PDT) is a minimally invasive technique for the treatment of target malignant tumors via the generation of highly reactive singlet oxygen species. PDT treatment of cancer/tumor tissues greatly relies on the development of suitable stable, highly specific and efficient photosensitizers. BODIPY (Boron dipyrromethene) derivatives, as a class of well-developed, versatile fluorescent dyes, has emerged as a new class of PDT agents over the past decade. Many elegant strategies have been developed to enhance the singlet oxygen generation efficiency and the cancer/tumor cell selectivity of BODIPY-based photosensitizers to improve the therapeutic outcomes as well as to minimize the side effects. Many of the currently reported BODIPY-based photosensitizers are valuable dual imaging and therapeutic agents, which can efficiently generate singlet oxygen for PDT and emit fluorescence for in vivo imaging. Although the currently approved PDT agents used for clinical trials do not feature BODIPYs, this situation is expected to change. In this review, we provide an overview of the various strategies that have been used to improve the singlet oxygen generation efficiency for tuning BODIPY fluorophores into photosensitizers and dual imaging/therapeutic agents. Their photophysical properties and photocytotoxic activity including the absorption/emission wavelengths, the singlet oxygen generation efficiency ([Formula: see text] and the half maximal inhibitory concentration [Formula: see text] of these currently reported photosensitizers are summarized. We believe these newly developed BODIPY-based photosensitizers will broaden current concepts of strategies for PDT agent design, and promise to make an important contribution to the diagnosis and therapeutics for the treatment of cancer.
Banking Relationships and Creditor Rights
Authors: Goyal Vidhan K. , Naaraayanan S. Lakshmi , Srinivasan Anand
Published: October 2019

Do the legal rights of creditors influence whether the firms borrow from arm’s length or relationship lenders in a country? We examine this question by exploiting the staggered adoption of legal reforms that changed creditor rights. We find that as creditor rights strengthen, firms exhibit a greater propensity to switch to relationship lenders. Conversely, firms switch to arm’s length lenders as creditor rights weaken. These results are consistent with the view that arm’s length creditors have a bias toward excessive liquidation in environments with strong creditor rights. Hence as creditor rights strengthen, firms switch to relationship lenders as they are less likely to sub-optimally liquidate the firm when continuation is more efficient.
Henoch-Schönlein Nephritis Manifesting with Purpura 15 years after Diagnosis of IgA Nephropathy
Authors: Yamabe Hideaki , Kaizuka Mitsuaki , Tsunoda Satoru , Nagasawa Tasuku , Nomura Kazuo , Shimada Michiko
Published: October 2019

Henoch-Schönlein nephritis or immunoglobulin A (IgA) vasculitis is characterized by purpura, arthralgia, abdominal pain, and glomerulonephritis with glomerular IgA deposition. Notably, the presence of purpura is essential to diagnose this disease. We report the case of a patient in whom proteinuria and haematuria were detected during screening tests and he was diagnosed with IgA nephropathy at 20 years of age. Corticosteroids were administered for 7 years and were subsequently tapered. At 35 years of age, he noticed purpura on his lower extremities and was diagnosed with anaphylactoid purpura. Following the appearance of purpura, urinalysis revealed an increase in urinary protein levels from 0.7 g/g creatinine (Cr) to 1.4 g/gCr, and his serum Cr levels increased from 1.1 mg/dL to 1.35 mg/dL. Two months later purpura subsided, and his urinary protein level and serum Cr level were restored to the former levels. Although the cause remains unknown, an interval may occasionally be observed between the appearance of purpura and urinary abnormalities. However, to our knowledge to date, a 15-year interval is the longest interval, in such cases, reported in the literature.
Laser Ablation Electrospray Ionization Time-of-Flight Mass Spectrometry for Direct Analysis of Biological Tissue
Authors: Zhou Wenzhao , Hong Yan , Huang Chaoqun , Shen Chengyin , Chu Yannan
Published: October 2019

Direct analysis and identification of biological tissue is significant for clinical applications. In this study, porcine liver and kidney have been analyzed using laser ablation electrospray ionization time-of-flight mass spectrometry (LAESI-TOFMS). This method showed good reproducibility for the same types of tissue and is capable of distinguishing different tissue species. The margin assessment was also performed using porcine renal tissue, and the response time was less than 6 s. Furthermore, human hepatocarcinoma tissue and normal tissue were identified using this method. Our results indicate that LAESI-TOFMS is a feasible approach for direct identification of tumor tissue and potential for assessment of the resection margin.
Proteomic Technology “Lens” for Epithelial-Mesenchymal Transition Process Identification in Oncology
Authors: Neagu Monica , Constantin Carolina , Bostan Marinela , Caruntu Constantin , Ignat Simona Rebeca , Dinescu Sorina , Costache Marieta
Published: October 2019

The epithelial-mesenchymal transition (EMT) is a complex transformation process that induces local and distant progression of many malignant tumours. Due to its complex array of proteins that are dynamically over-/underexpressed during this process, proteomic technologies gained their place in the EMT research in the last years. Proteomics has identified new molecular pathways of this process and brought important insights to develop new therapy targets. Various proteomic tools and multiple combinations were developed in this area. Out of the proteomic technology armentarium, mass spectrometry and array technologies are the most used approaches. The main characteristics of the proteomic technology used in this domain are high throughput and detection of minute concentration in small samples. We present herein, using various proteomic technologies, the identification in cancer cell lines and in tumour tissue EMT-related proteins, proteins that are involved in the activation of different cellular pathways. Proteomics has brought besides standard EMT markers (e.g., cell-cell adhesion proteins and transcription factors) other future potential markers for improving diagnosis, monitoring evolution, and developing new therapy targets. Future will increase the proteomic role in clinical investigation and validation of EMT-related biomarkers.
Epidemiology of Alzheimer’s Disease and Dementia in Arab Countries: A Systematic Review
Authors: El-Metwally Ashraf , Toivola Paivi , Al-Rashidi Mashael , Nooruddin Shanila , Jawed Munazza , AlKanhal Raghad , Razzak Hira Abdul , Albawardi Nada
Published: October 2019

Background/Objectives. Contrary to popular belief, the condition of dementia is not an actual discrete disease, but rather a group of symptoms, most notable of which is the disturbance of memory and social ability, often severe enough to impair daily functioning. As a result, it has been a major cause of functional deterioration among varying populations in the world. This study is aimed at reviewing the epidemiology of dementia in Arab countries in terms of its prevalence, distribution, and risk factors.Methods. A systematic literature review was conducted using articles published in PubMed, Embase, Scopus, and other local journals between 1990 and 2018. After applying the inclusion and exclusion criteria, a total of 18 studies were concluded to be eligible for the review.Results. Prevalence studies demonstrated that dementia is indeed a prevalent condition in Arab countries, ranging between 1.1% and 2.3% among age groups of 50 years and older, as well as between 13.5% and 18.5% among age groups of 80 years and above. However, these results are not different from those of many other countries in the world. Moreover, prevalence was found to vary depending on sociodemographic characteristics. Major risk factors of dementia included hypertension, low income, and low education, while the risk of developing dementia is increased by obesity, diabetes mellitus, and cardiovascular risk factors. Despite the growing evidence regarding the epidemiological distribution and determinants of dementia worldwide, studies from the Arab region remain scarce.Conclusion. This systematic review highlights the need for population-based studies to provide necessary information for developing preventive and curative strategies specific to the Arab region.
IL-6 Negatively Regulates IL-22RαExpression on Epidermal Keratinocytes: Implications for Irritant Contact Dermatitis
Authors: Frempah Benjamin , Luckett-Chastain Lerin R. , Gallucci Randle M.
Published: October 2019

Irritant Contact Dermatitis (ICD) is characterized by epidermal hyperplasia and inflammatory cytokine release. IL-6 has been shown to be involved in the pathogenesis of ICD; however, the involvement of the IL-22/IL-22Rαaxis and its relation to IL-6 in the inflammatory response following irritant exposure are unknown. Using a chemical model of ICD, it was observed that mice with a keratinocyte-specific knockout of IL-6Rα(IL-6RαΔker) presented with increased inflammation and IL-22Rαand IL-22 protein expression relative to WT following irritant exposure, indicating that IL-6Rαdeficiency in epidermal keratinocytes leads to the upregulation of IL-22Rαand its ligand during ICD. Furthermore, it was shown that IL-6 negatively regulates the expression of IL-22Rαon epidermal keratinocytes. This effect is functional as the effects of IL-22 on keratinocyte proliferation and differentiation were markedly reduced when keratinocytes were pretreated with IL-6 prior to IL-22 treatment. These results show that IL-6 modulates the IL-22/IL-22Rαaxis in the skin and suggest that this occurrence may be associated with the increased epidermal hyperplasia and exacerbated inflammatory response observed in IL-6RαΔkermice during ICD.
Adaptive Fixed‐Time Sliding Mode Control for Uncertain Twin‐Rotor System with Experimental Validation
Authors: Shen Linwu , Chen Qiang , Tao Meiling , He Xiongxiong
Published: October 2019

This paper proposes an adaptive fixed‐time control scheme for twin‐rotor systems subject to the inertia uncertainties and external disturbances. First of all, a fixed‐time sliding mode surface is constructed and the corresponding controller is developed such that the fixed‐time uniform ultimate boundedness of the sliding variable and tracking error could be guaranteed simultaneously, and the setting time is independent of the initial values. The adaptive update laws are developed to estimate the upper bounds of the lumped uncertainties and external disturbances such that no prior knowledge on the system uncertainties and disturbances is required. Finally, a twin‐rotor platform is constructed to verify the effectiveness of proposed scheme. Comparative results show better position tracking performance of the proposed control scheme.
Posttranslational Modifications of PD-L1 and Their Applications in Cancer Therapy
Authors: Hsu Jung-Mao , Li Chia-Wei , Lai Yun-Ju , Hung Mien-Chie
Published: October 2019

Posttranslational modifications (PTM) of PD-L1 have emerged as important regulatory mechanisms that modulate immunosuppression in patients with cancer. In exposure to inflammatory cytokines, cancer cells and antigen-presenting cells, such as macrophages and dendritic cells, express PD-L1 to inhibit the activity of effector T cells through PD-1 engagement. Recent studies suggested that glycosylation, phosphorylation, ubiquitination, sumoylation, and acetylation play important roles in the regulation of PD-L1 protein stability and translocation and protein–protein interactions. Aberrant alterations of PTMs directly influence PD-L1–mediated immune resistance. On the basis of the newly identified regulatory signaling pathways of PD-L1 PTMs, researchers have investigated the cancer therapeutic potential of natural food compounds, small-molecule inhibitors, and mAbs by targeting PD-L1 PTMs. Results of these preclinical studies demonstrated that targeting PTMs of PD-L1 yields promising antitumor effects and that clinical translation of these therapeutic strategies is warranted. Cancer Res; 78(22); 6349–53. ©2018 AACR.
TBCRC023: A Randomized Phase II Neoadjuvant Trial of Lapatinib Plus Trastuzumab Without Chemotherapy for 12 versus 24 Weeks in Patients with HER2-Positive Breast Cancer
Authors: Rimawi Mothaffar F. , Niravath Polly , Wang Tao , Rexer Brent N. , Forero Andres , Wolff Antonio C. , Nanda Rita , Storniolo Anna M. , Krop Ian , Goetz Matthew P. , Nangia Julie R. , Jiralerspong Sao , Pavlick Anne , Veeraraghavan Jamunarani , De Angelis Carmine , Gutierrez Carolina , Schiff Rachel , Hilsenbeck Susan G. , Osborne C. Kent
Published: October 2019

Purpose:

Prior neoadjuvant trials with 12 weeks of dual anti-HER2 therapy without chemotherapy demonstrated a meaningful pathologic complete response (pCR) in patients with HER2-positive breast cancer. In this trial, we sought to determine whether longer treatment would increase the rate of pCR.

Patients and Methods:

TBCRC023 (NCT00999804) is a randomized phase II trial combining a Simon phase II design in the experimental arm with a pick-the-winner design, not powered for direct comparison. Women with HER2-positive breast tumors measuring ≥2 cm (median = 5 cm) were randomized in a 1:2 ratio to 12 versus 24 weeks of lapatinib and trastuzumab. Letrozole (along with ovarian suppression if premenopausal) was administered in patients whose tumors were also estrogen receptor (ER) positive. All evaluable patients were assessed for in-breast pCR.

Results:

Ninety-seven patients were enrolled (33 in 12-week arm and 64 in 24-week arm), of whom 94 were evaluable. Median age was 51 years, and 55% were postmenopausal. Median tumor size was 5 cm, and 65% were ER-positive. The rate of pCR in the 24-week arm was 28% and numerically superior to the 12-week arm (12%). This was driven by increased pCR in the ER-positive subgroup (33% vs. 9%). Study treatment was well tolerated, with grade 1–2 diarrhea and acneiform rash being the most common toxicities.

Conclusions:

Treatment with dual anti-HER2 therapy for 24 weeks led to a numeric increase in pCR rate in women with HER2-positive breast cancer, without using chemotherapy. If validated, this approach may help identify patients who may benefit from deescalation of therapy.
The KRASG12C Inhibitor MRTX849 Provides Insight toward Therapeutic Susceptibility of KRAS-Mutant Cancers in Mouse Models and Patients
Authors: Hallin Jill , Engstrom Lars D. , Hargis Lauren , Calinisan Andrew , Aranda Ruth , Briere David M. , Sudhakar Niranjan , Bowcut Vickie , Baer Brian R. , Ballard Joshua A. , Burkard Michael R. , Fell Jay B. , Fischer John P. , Vigers Guy P. , Xue Yaohua , Gatto Sole , Fernandez-Banet Julio , Pavlicek Adam , Velastagui Karen , Chao Richard C. , Barton Jeremy , Pierobon Mariaelena , Baldelli Elisa , Patricoin Emanuel F. , Cassidy Douglas P. , Marx Matthew A. , Rybkin Igor I. , Johnson Melissa L. , Ou Sai-Hong Ignatius , Lito Piro , Papadopoulos Kyriakos P. , Jänne Pasi A. , Olson Peter , Christensen James G.
Published: October 2019

Despite decades of research, efforts to directly target KRAS have been challenging. MRTX849 was identified as a potent, selective, and covalent KRASG12C inhibitor that exhibits favorable drug-like properties, selectively modifies mutant cysteine 12 in GDP-bound KRASG12C, and inhibits KRAS-dependent signaling. MRTX849 demonstrated pronounced tumor regression in 17 of 26 (65%) KRASG12C-positive cell line– and patient-derived xenograft models from multiple tumor types, and objective responses have been observed in patients with KRASG12C-positive lung and colon adenocarcinomas. Comprehensive pharmacodynamic and pharmacogenomic profiling in sensitive and partially resistant nonclinical models identified mechanisms implicated in limiting antitumor activity including KRAS nucleotide cycling and pathways that induce feedback reactivation and/or bypass KRAS dependence. These factors included activation of receptor tyrosine kinases (RTK), bypass of KRAS dependence, and genetic dysregulation of cell cycle. Combinations of MRTX849 with agents that target RTKs, mTOR, or cell cycle demonstrated enhanced response and marked tumor regression in several tumor models, including MRTX849-refractory models.

Significance:

The discovery of MRTX849 provides a long-awaited opportunity to selectively target KRASG12C in patients. The in-depth characterization of MRTX849 activity, elucidation of response and resistance mechanisms, and identification of effective combinations provide new insight toward KRAS dependence and the rational development of this class of agents.

See related commentary by Klempner and Hata, p. 20.

This article is highlighted in the In This Issue feature, p. 1
Cochlear Place of Stimulation Is One Determinant of Cochlear Implant Sound Quality
Authors: Dorman Michael F. , Cook Natale Sarah , Baxter Leslie , Zeitler Daniel M. , Carlson Mathew L. , Noble Jack H.
Published: October 2019

Objective: Our aim was to determine the effect of acute changes in cochlear place of stimulation on cochlear implant (CI) sound quality. Design: In Experiment 1, 5 single-sided deaf (SSD) listeners fitted with a long (28-mm) electrode array were tested. Basal shifts in place of stimulation were implemented by turning off the most apical electrodes and reassigning the filters to more basal electrodes. In Experiment 2, 2 SSD patients fitted with a shorter (16.5-mm) electrode array were tested. Both basal and apical shifts in place of stimulation were implemented. The apical shifts were accomplished by current steering and creating a virtual place of stimulation more apical that that of the most apical electrode. Results: Listeners matched basal shifts by shifting, in the normal-hearing ear, the overall spectrum up in frequency and/or increasing voice pitch (F0). Listeners matched apical shifts by shifting down the overall frequency spectrum in the normal-hearing ear. Conclusion: One factor determining CI voice quality is the location of stimulation along the cochlear partition.
A Case of Intraplacental Choriocarcinoma with Pulmonary Metastasis
Authors: Lee Eunhyun , Cho Hyunjin
Published: October 2019

Intraplacental choriocarcinoma is a rare type of gestational choriocarcinoma occurring in the placenta, of which only a small number of cases have been reported. Gestational choriocarcinoma rapidly metastasizes to organs such as the lung, brain, and liver; thus, early diagnosis and treatment are essential. In addition, intraplacental choriocarcinoma can affect fetal mortality. We present a case of a 33-year-old woman diagnosed with intraplacental choriocarcinoma based on placental biopsy performed after the pregnancy had reached term. The patient had pulmonary metastasis at the time of diagnosis, but after the combination chemotherapy with EMA-EP, complete remission is maintained.
Alienor method applied to induction machine parameters identification
Authors: Khemici Latifa , Bounekhla M’hamed , Boudissa Elghalia
Published: October 2019

This paper presents an identification method to estimate simultaneously the electrical and mechanical induction machine (IM) parameters by using only the measured current and the corresponding phase voltage. This identification method is based on the output error and uses the multidimensional Alienor global optimization method as a minimization technique. Alienor method is essentially based on converting multivariable problem to monovariable one. To improve the Alienor method performance, the reducing transformation is proposed and compared with the genetic algorithm (GA). Firstly, the identification method is verified using the simulated data. Secondly, the validation is then confirmed by measured data from one machine. The corresponding computed transient and steady state currents agree well with the measured data. The results obtained show the superiority of the proposed Alienor method versus GA in terms of computing time.
Type 1 versus type 2 fuzzy logic speed controllers for brushless dc motors
Authors: Abed Hayder Yousif , Humod Abdulrahim Thiab , Humaidi Amjad J.
Published: October 2019

This work presented two fuzzy logic (FL) schemes for speed-controlled brushless DC motors. The first controller is a Type 1 FL controller (T1FLC), whereas the second controller is an interval Type 2 FL controller (IT2FLC). The two proposed controllers were compared in terms of system dynamics and performance. For a fair comparison, the same type and number of membership functions were used for both controllers. The effectiveness of the structures of the two FL controllers was verified through simulation in MATLAB/SIMULINK environment. Simulation result showed that IT2FLC exhibited better performance than T1FLC.
Security techniques for intelligent spam sensing and anomaly detection in online social platforms
Authors: Aldwairi Monther , Tawalbeh Loai
Published: October 2019

The recent advances in communication and mobile technologies made it easier to access and share information for most people worldwide. Among the most powerful information spreading platforms are the Online Social Networks (OSN)s that allow Internet-connected users to share different information such as instant messages, tweets, photos, and videos. Adding to that many governmental and private institutions use the OSNs such as Twitter for official announcements. Consequently, there is a tremendous need to provide the required level of security for OSN users. However, there are many challenges due to the different protocols and variety of mobile apps used to access OSNs. Therefore, traditional security techniques fail to provide the needed security and privacy, and more intelligence is required. Computational intelligence adds high-speed computation, fault tolerance, adaptability, and error resilience when used to ensure security in OSN apps. This research provides a comprehensive related work survey and investigates the application of artificial neural networks for intrusion detection systems and spam filtering for OSNs. In addition, we use the concept of social graphs and weighted cliques in the detection of suspicious behavior of certain online groups and to prevent further planned actions such as cyber/terrorist attacks before they happen.
Improving the selection of MPRs in OLSR protocol: a survey of methods and techniques
Authors: Barki Omar , Guennoun Zouhair , Addaim Adnane
Published: October 2019

Multi Point Relays (MPRs) are those nodes that are calculated and determined by the Optimized Link State Routing protocol (OLSR) in order to minimize and avoid overload inside the Mobile Ad hoc Network (MANET). In this paper, we will present a synthetic study of many techniques and methods for calculating and selecting the MPR nodes using a set of criteria namely energy, mobility, bandwidth, the quality of links, etc. The result of this study shows that most techniques consider a limited number of metrics for selecting the MPR nodes and therefore they are insufficient to allow the OLSR protocol to be quite complete and efficient because several metrics can occur at the same time in the real execution environment.
Cooperative-hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications
Authors: Aljarah Maha , Shurman Mohammad , Alnabelsi Sharhabeel
Published: October 2019

Using mobile and Internet of Things (IoT) applications is becoming very popular and obtained researchers’ interest and commercial investment, in order to fulfill future vision and the requirements for smart cities. These applications have common demands such as fast response, distributed nature, and awareness of service location. However, these requirements’ nature cannot be satisfied by central systems services that reside in the clouds. Therefore, edge computing paradigm has emerged to satisfy such demands, by providing an extension for cloud resources at the network edge, and consequently, they become closer to end-user devices. In this paper, exploiting edge resources is studied; therefore, a cooperative-hierarchical approach for executing the pre-partitioned applications’ modules between edges resources is proposed, in order to reduce traffic between the network core and the cloud, where this proposed approach has a polynomial-time complexity. Furthermore, edge computing increases the efficiency of providing services, and improves end-user experience. To validate our proposed cooperative-hierarchical approach for modules placement between edge nodes’ resources, iFogSim toolkit is used. The obtained simulation results show that the proposed approach reduces network’s load and the total delay compared to a baseline approach for modules’ placement, moreover, it increases the network’s overall throughput.
A reliable next generation cyber security architecture for industrial internet of things environment
Authors: Vijayakumaran C. , Muthusenthil B. , Manickavasagam B.
Published: October 2019

Architectural changes are happening in the modern industries due to the adaption and the deployment of ‘Internet of Things (IoT)’ for monitoring and controlling various devices remotely from the external world. The most predominant place where the IoT technology makes the most sense is the industrial automation processes in smart industries (Industry 4.0). In this paper, a reliable ‘Next Generation Cyber Security Architecture (NCSA)’ is presented for Industrial IoT (IIoT) environment that detects and thwarts cybersecurity threats and vulnerabilities. It helps to automate the processes of exchanging real-time critical information between devices without any human intervention. It proposes an analytical framework that can be used to protect entities and network traffics involved in the IIoT wireless communication. It incorporates an automated cyber-defense authentication mechanism that detects and prevents security attacks when a network session has been established. The defense mechanism accomplishes the required level of security protection in the network by generating an identity token which is cryptographically encrypted and verified by a virtual gateway system. The proposed NCSA improves security in the IIoT environment and reduces operational management cost.
Service selection in service oriented architecture using probabilistic approach and asynchronous queues with interceptor validation
Authors: Chelliah Balika J. , Sathish K. , Kumar S. Arun
Published: October 2019

In service Oriented Architecture, many services are offered with similar functionality but with different service quality parameters. Thus the service selection using a deterministic approach causes conflicts and inefficient results. We use asynchronous queue to model the service inventory architecture avoiding unnecessary locking of resources and thus allowing a provision to consumers to get their required services without intervening and with temporally decoupled fashion. Actually this kind of service selection strategy is considered in regards with game theory to eliminate fluctuations of queue length. It offers a discrete random service which is equal to some request requested by consumers, it means service can be provided based on probability mass function as a substitute of deterministic decisions for selecting a proper service provider as of the consumers. Once the request is taken out from the queue, it is delivered to the interceptor that has validation and sanitization module. It thus reduces the peak queue length and reduces periodic fluctuations in the queue length.
A time efficient and accurate retrieval of range aggregate queries using fuzzy clustering means (FCM) approach
Authors: Murugan A. , Gobinath D. , Kumar S. Ganesh , Muruganantham B. , Velusamy Sarubala
Published: October 2019

Massive growth in the big data makes difficult to analyse and retrieve the useful information from the set of available data’s. Statistical analysis: Existing approaches cannot guarantee an efficient retrieval of data from the database. In the existing work stratified sampling is used to partition the tables in terms of static variables. However k means clustering algorithm cannot guarantees an efficient retrieval where the choosing centroid in the large volume of data would be difficult. And less knowledge about the static variable might leads to the less efficient partitioning of tables. Findings: This problem is overcome in the proposed methodology by introducing the FCM clustering instead of k means clustering which can cluster the large volume of data which are similar in nature. Stratification problem is overcome by introducing the post stratification approach which will leads to efficient selection of static variable. Improvements: This methodology leads to an efficient retrieval process in terms of user query within less time and more accuracy.
Security framework for cloud based electronic health record (EHR) system
Authors: Ganiga Raghavendra , Pai Radhika M. , M. M. Manohara Pai , Sinha Rajesh Kumar
Published: October 2019

Health records are an integral aspect of any Hospital Management System. With newer innovations in technology, there has been a shift in the way of recording health information. Medical records which used to be managed using various paper charts have now become easier to organize and maintain, thereby increasing the efficiency of medical staff. The Electronic Health Records (EHR) System is becoming a high-tech medical management technology developed for the economic or emerging economic countries like India. In a national health system, the EHR integrates the Electronic Medical Records (EMR) in all collaborating hospitals through different networks. EHR gives healthcare professionals a way to share and manage patient data quickly and effectively. Due to the mass storage of confidential patient data, healthcare organizations are considered as one of the most targeted sectors by intruders. This paper proposes a security framework for EHR system, which takes into consideration the integrity, availability, and confidentiality of health records. The threats posed to the EHR system are modeled by STRIDE modeling tool, and the amount of risk is calculated using DREAD. The paper also suggests the security mechanism and countermeasures based on security standards, which can be utilized in an EHR environment. The paper shows that the utilization of the proposed methods effectively addresses security concerns such as breach of sensitive medical information.
Design and development of a method for detecting sleep roll-over counts using accelerometer ADXL335
Authors: Acharya Jonathan
Published: October 2019

Sleep plays an important role as it helps human body to rejuvenate, boosts mental function and manage stress. Sleep is restorative function which enhances muscle growth, repairs tissues, maintains health and make physical appearance look or feel better. The lack of sleep in human body can increase the risk of diseases which are asthma, diabetes, depression. For healthy physiological function, sleep is essential and has strong relation to mental condition. Easy way of sleep management is considered for maintaining good mental health. Numerous scientists, doctors and researchers have proposed various ways to monitor sleep, some of those best tests are polysomnography test and actigraphy test. However, taking sleep test covering the whole body with wires and electrodes which is polysomnography test is uncomfortable for patients, and sensors used for different approaches like this are costly and often require overnight treatment and expert monitoring in clinics. Therefore, easy way of detecting roll-over movements which is convenient for patients to wear is proposed. Accelerometer ADXL335 sensor is taped on socks during sleep which is comfortable for patients to wear and do not cause any inconvenience during sleep. Algorithm is proposed to read the dataset and count the roll-over during the sleep based on threshold. Resulting the number of roll-over detected during a sleep period.
Random forest age estimation model based on length of left hand bone for Asian population
Authors: Darmawan Mohd Faaizie , Zainal Abidin Ahmad Firdaus , Kasim Shahreen , Sutikno Tole , Budiarto Rahmat
Published: October 2019

In forensic anthropology, age estimation is used to ease the process of identifying the age of a living being or the body of a deceased person. Nonetheless, the specialty of the estimation models is solely suitable to a specific people. Commonly, the models are inter and intra-observer variability as the qualitative set of data is being used which results the estimation of age to rely on forensic experts. This study proposes an age estimation model by using length of bone in left hand of Asian subjects range from newborn up to 18-year-old. One soft computing model, which is Random Forest (RF) is used to develop the estimation model and the results are compared with Artificial Neural Network (ANN) and Support Vector Machine (SVM), developed in the previous case studies. The performance measurement used in this study and the previous case study are R-square and Mean Square Error (MSE) value. Based on the results produced, the RF model shows comparable results with the ANN and SVM model. For male subjects, the performance of the RF model is better than ANN, however less ideal than SVM model. As for female subjects, the RF model overperfoms both ANN and SVM model. Overall, the RF model is the most suitable model in estimating age for female subjects compared to ANN and SVM model, however for male subjects, RF model is the second best model compared to the both models. Yet, the application of this model is restricted only to experimental purpose or forensic practice.
PSS/E based placement wind/PV hybrid system to improve stability of Iraqi grid
Authors: Shalash Nadheer A. , Lafta Yasar N.
Published: October 2019

Proper employment of Hybrid Wind/ PV system is often implemented near the load, and it is linked with the grid to study dynamic stability analysis. Generally, instability is because of sudden load demand variant and variant in renewable sources generation. As well as, weather variation creates several factors that affect the operation of the integrated hybrid system. So this paper introduces output result of a PV /wind via power electronic technique; DC chopper; that is linked to Iraqi power system to promote the facilitating achievement of Wind/ PV voltage. Moreover, PSS/E is used to study dynamic power stability for hybrid system which is attached to an effective region of Iraqi Network. The hybrid system is connected to Amara Old bus and fault bus is achieved to that bus and the stability results reflects that settling time after disturbance is not satisfactory. But, it is found that PV/wind generation system influences Iraqi grid stability to be better than that with only PV generation and the latter is better than stability of the grid that is enhanced with only wind generation. These results represent an important guideline for Iraqi power system planner.
Robust Synchronization of the Unified Chaotic System
Authors: Trabelsi Hatem , Benrejeb Mohamed
Published: October 2019

The paper investigates the synchronization problem of the unified chaotic system. The case of identical, but unknown master and slave unified chaotic systems is considered. Based on compound matrices formalism, a unified synchronization control scheme is proposed independently of the unknown system parameter. Simulation results are provided to show the effectiveness of the presented scheme.
Experimental Dielectric Measurements for Cost-fewer Polyvinyl Chloride Nanocomposites
Authors: Thabet Ahmed , Mobarak Youssef
Published: October 2019

Polymer nanocomposites possess promising high performances as engineering materials, if they are prepared and fabricated properly. In this research, it has been processed samples of nanocomposite polymers as electrical insulating materials for application on the electric power cables by using the latest techniques of nanotechnology. This paper has been investigated enhanced dielectric and electrical properties of Polyvinyl chloride PVC as matrix have shown that trapping properties are highly modified by the presence of costless nanofillers clay and fumed silica. An experimental work for dielectric loss and capacitance of the new nanocomposite materials have been investigated and compared with unfilled industrial materials. It is found that a good correlation exists in respect of capacitance and dielectric loss values measured with percentage of nanofillers. Thus, it has been investigated the influence of costless nanofillers material and its concentration on dielectric properties of industrial polymers-based composite systems. A comparative study is performed between the unfilled base polymers, the systems containing one type of nanoparticles clay or fumed silica inside the host polymer with various concentrations.
An Improved Design of Linear Congruential Generator based on Wordlengths Reduction Technique into FPGA
Authors: Walidainy Hubbul , Zulfikar Zulfikar
Published: October 2019

This paper exposes an improved design of linear congruential generator (LCG) based on wordlengths reduction technique into FPGA. The circuit is derived from LCG algorithm proposed by Lehmer and the previous design. The wordlengths reduction technique has been developed more in order to simplify further circuit. The proposed design based on the fact that in applications only specific input data were used. Some nets connections between blocks of the circuit are ignored or truncated. Simulations either behavior or timing have been done and the results is similar to its algorithm. Four best Xilinx chips have been chosen to extract comparison data of speed and occupied area. Further comparison of occupied area in terms of flip-flop and full adder has been made. In general, the proposed design overcome the previous published LCG circuit.
Low bit Rate Video Quality Analysis Using NRDPF-VQA Algorithm
Authors: CH Subrahmanyam , D Venkata Rao , N Usha Rani
Published: October 2019

In this work, we propose NRDPF-VQA (No Reference Distortion Patch Features Video Quality Assessment) model aims to use to measure the video quality assessment for H.264/AVC (Advanced Video Coding). The proposed method takes advantage of the contrast changes in the video quality by luminance changes. The proposed quality metric was tested by using LIVE video database. The experimental results show that the new index performance compared with the other NR-VQA models that require training on LIVE video databases, CSIQ video database, and VQEG HDTV video database. The values are compared with human score index analysis of DMOS.
Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening
Authors: Sela Enny Itje , Hartati Sri , Harjoko Agus , Wardoyo Retantyo , Mudjosemedi Munakhir
Published: October 2019

This study aims to select the important features from the combination of porous trabecular pattern with anthropometric features for osteoporosis screening. The study sample has their bone mineral density (BMD) measured at the proximal femur/lumbar spine using dual-energy X-ray absorptiometry (DXA). Morphological porous features such as porosity, the size of porous, and the orientation of porous are obtained from each dental radiograph using digital image processing. The anthropometric features considered are age, height, weight, and body mass index (BMI). Decision tree (J.48 method) is used to evaluate the accuracy of morphological porous and anthropometric features for selection data. The study shows that the most important feature is age and the considered features for osteoporosis screening are porosity, vertical pore, and oblique pore. The decision tree has considerably high accuracy, sensitivity, and specificity.
A Novel Method for Rotor Field-Oriented Control of Single-Phase Induction Motor
Authors: Jannati M. , Sutikno T. , Idris N. R. N. , Aziz M. J. A.
Published: October 2019

This paper presents a novel rotor field-oriented control (RFOC) method for asymmetrical single-phase induction motor (SPIM). It is shown in this paper that by using a suitable transformation matrix (TM) for stator current variables, the asymmetrical equations of SPIM are transformed into symmetrical equations. Based on this similarity, a novel vector conrol technique for SPIM is presented. Performance of the proposed method is assessed using MATLAB/SIMULINK software. Simulation results showed the excellence speed and torque responses obtained using the proposed technique.