bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global dissipativity and exponential synchronization of mixed time-varying delays neural networks with discontinuous activations
Authors: Fei Kaifang , Jiang Minghui , Yan Meng , Liu Weizhen 
Published: July 2020

Abstract
In this paper, the matters of dissipativity and synchronization for non-autonomous Hopfield neural networks with discontinuous activations are investigated. Firstly, under the framework of extending Filippov differential inclusion theory, several effective new criteria are derived. The global dissipativity of Filippov solution to neural networks is proved by using generalized Halanay inequality and matrix measure method. Secondly, the global exponential synchronization of the addressed network drive system and the response system is realized by utilizing inequality and some analysis techniques and designing the discontinuous state feedback controller. Finally, several numerical examples are given to verify the validity of the theoretical results.
Conditions for the local and global asymptotic stability of the time–fractional Degn–Harrison system
Authors: Mezhoud Rachida , Saoudi Khaled , Zaraï Abderrahmane , Abdelmalek Salem 
Published: July 2020

Abstract
Fractional calculus has been shown to improve the dynamics of differential system models and provide a better understanding of their dynamics. This paper considers the time–fractional version of the Degn–Harrison reaction–diffusion model. Sufficient conditions are established for the local and global asymptotic stability of the model by means of invariant rectangles, the fundamental stability theory of fractional systems, the linearization method, and the direct Lyapunov method. Numerical simulation results are used to illustrate the theoretical results.
Amine-modified kaolinite clay preserved thyroid function and renal oxidative balance after sub-acute exposure in rats
Authors: Otuechere Chiagoziem A. , Adewuyi Adewale , Avwioroko Oghenetega J. , Olajide Ebunoluwa P. , Fadoju Beatrice O. 
Published: July 2020

Abstract

Objectives
Kaolinite clay is an abundant natural resource in Nigeria with several industrial applications. Incidentally, the wide-scale use of kaolinite clay is hampered by its small surface area. The objective of this study was to assess the effects of amine-modified clay on electrolyte, thyroid, and kidney function markers.

Methods
Modification of kaolinite clay with an amine functional group was achieved using surface grafting technique. Characterization with a scanning electron microscope and Brunauer-Emmett Teller surface area analyzer confirmed this modification. However, there is sparse information on the effect of amine-modified kaolinite clay on electrolyte homeostasis, thyroid, and renal function. Rats were administered amine-modified kaolinite clay at the doses of 1, 2, and 5 mg/kg body weight.

Results
After 14 days of repeated-dose treatment, there were no significant changes in levels of albumin, uric acid, triiodothyronine, thyroxine, ratio of triiodothyronine to thyroxine, and relative kidney organ weight. Furthermore, there were no changes in the concentration of potassium, although amine-modified kaolinite clay significantly decreased sodium, calcium, and total cholesterol levels. Amine-modified kaolinite clay, at all treatment doses, also preserved the renal histoarchitecture and oxidative balance in rats.

Conclusions
This study reports on the effect of amine-modified kaolinite clay on renal markers and thyroid function, and further deepens our understanding of their biochemical action. This baseline data may boost the prospect of using amine-modified kaolinite clay in the treatment of contaminated water.
Strategies in traditional Persian medicine to maintain a healthy life in the elderly
Authors: Shakeri Afsaneh , Hashempur Mohammad Hashem , Beigomi Alireza , Khiveh Ali , Nejatbakhsh Fatemeh , Zohalinezhad Mohammad Ebrahim , Emtiazy Majid 
Published: July 2020

Abstract
As time goes on, a greater number of people experience an age of more than 60 years old and subsequently geriatric syndromes are increasingly more common. Despite recent improvements in modern healthy living, literature on traditional Persian medicine (TPM) about the prevention and treatment of such syndromes and healthy living of the elderly is hardly known. We aimed, in this study, to explore some traditional Persian sources and briefly explain their writers' beliefs on keeping healthy living for old people. We used several TPM sources and literature, and then based on these texts, we collected issues about geriatric temperament and syndromes and classified the results including exercise, nutrition, massage, bathing, aromatherapy, and sleeping. Our search yielded some recommendations about a healthy lifestyle for the elderly, which are in fact equivalent to primary, secondary, and tertiary preventive measures in modern medicine. Our results also showed that they believed such modifications would help the elderly to improve their geriatric conditions. In general, TPM provides some pieces of advice to prevent and treat geriatric syndromes that may be helpful in practice although the scope of their effectiveness remains to be examined in carefully designed randomized controlled trials.
Efficacy of Qurs-e-Gulnar in Ziabetus (type 2 Diabetes Mellitus): a single blind randomized controlled trial
Authors: Eqbal Khalid , Alam Md. Anzar , Quamri Mohd Aleemuddin , Sofi Ghulamuddin , Ahmad Bhat Muzafar Din 
Published: July 2020

Abstract

Background and objectives
Diabetes is a serious threat to global health that respects neither socioeconomic status nor national boundaries. Globally, diabetes is among the top 10 causes of death. Unani system argued the effectiveness of several anti-hyperglycemic drugs, and all such drugs looked-for to be validated on scientifically. Hence a clinical trial was contemplated to evaluate the clinical efficacy of Qurs-e-Gulnar in the management of Diabetes Mellitus.

Methods
This study was conducted as single blind randomized control, on 40 patients of type 2 diabetes with the test (n=20) and control (n=20) groups for 45 days. Test group received Qurs-e-Gulnar at the dose of three Qurs twice a day, and control group received two capsules Diabeat® twice a day before meal. Subjective (at 0, 15th, 30th, and 45th) and objective parameters were assessed as pre-post treatment respectively.

Results
After treatment with test compound significant reduction was observed in all the subjective parameters viz. polyuria, polydipsia, polyphagia and tiredness in comparison of control group. The objective parameters FBS and PPBS was found to be significantly reduced (p<0.001) in both the groups where as HbA1c was found unchanged in test group but control drug showed highly significant reduction in HbA1c (p<0.001).The results were assessed statistically using two tailed Student’s t-test, and Fischer exact test.

Conclusion
On the basis of above observation it is concluded that the test compound Qurs-e-Gulnar has significant anti-diabetic effect which is evidentially observed both in subjective and objective parameters in test group in comparison of control group (CTRI/2017/07/009060).
Use of Chou’s 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment
Authors: Bouziane Hafida , Chouarfia Abdallah 
Published: July 2020

Abstract
To date, many proteins generated by large-scale genome sequencing projects are still uncharacterized and subject to intensive investigations by both experimental and computational means. Knowledge of protein subcellular localization (SCL) is of key importance for protein function elucidation. However, it remains a challenging task, especially for multiple sites proteins known to shuttle between cell compartments to perform their proper biological functions and proteins which do not have significant homology to proteins of known subcellular locations. Due to their low-cost and reasonable accuracy, machine learning-based methods have gained much attention in this context with the availability of a plethora of biological databases and annotated proteins for analysis and benchmarking. Various predictive models have been proposed to tackle the SCL problem, using different protein sequence features pertaining to the subcellular localization, however, the overwhelming majority of them focuses on single localization and cover very limited cellular locations. The prediction was basically established on sorting signals, amino acids compositions, and homology. To improve the prediction quality, focus is actually on knowledge information extracted from annotation databases, such as protein–protein interactions and Gene Ontology (GO) functional domains annotation which has been recently a widely adopted and essential information for learning systems. To deal with such problem, in the present study, we considered SCL prediction task as a multi-label learning problem and tried to label both single site and multiple sites unannotated bacterial protein sequences by mining proteins homology relationships using both GO terms of protein homologs and PSI-BLAST profiles. The experiments using 5-fold cross-validation tests on the benchmark datasets showed a significant improvement on the results obtained by the proposed consensus multi-label prediction model which discriminates six compartments for Gram-negative and five compartments for Gram-positive bacterial proteins.
Error estimates for the iteratively regularized Newton–Landweber method in Banach spaces under approximate source conditions
Authors: Mahale Pallavi , Dixit Sharad Kumar 
Published: July 2020

Abstract
In 2012, Jin Qinian considered an inexact Newton–Landweber iterative method for solving nonlinear ill-posed operator equations in the Banach space setting by making use of duality mapping.
The method consists of two steps; the first one is an inner iteration which gives increments by using Landweber iteration, and the second one is an outer iteration which provides increments by using Newton iteration.
He has proved a convergence result for the exact data case, and for the perturbed data case, a weak convergence result has been obtained under a Morozov type stopping rule.
However, no error bound has been given.
In 2013, Kaltenbacher and Tomba have considered the modified version of the Newton–Landweber iterations, in which the combination of the outer Newton loop with an iteratively regularized Landweber iteration has been used.
The convergence rate result has been obtained under a Hölder type source condition.
In this paper, we study the modified version of inexact Newton–Landweber iteration under the approximate source condition and will obtain an order-optimal error estimate under a suitable choice of stopping rules for the inner and outer iterations.
We will also show that the results proved in this paper are more general as compared to the results proved by Kaltenbacher and Tomba in 2013.
Also, we will give a numerical example of a parameter identification problem to support our method.
Performance Modeling of Load Balancing Techniques in Cloud: Some of the Recent Competitive Swarm Artificial Intelligence-based
Authors: Bhargavi K , Sathish Babu B , Pitt Jeremy 
Published: July 2020

Abstract
Cloud computing deals with voluminous heterogeneous data, and there is a need to effectively distribute the load across clusters of nodes to achieve optimal performance in terms of resource usage, throughput, response time, reliability, fault tolerance, and so on. The swarm intelligence methodologies use artificial intelligence to solve computationally challenging problems like load balancing, scheduling, and resource allocation at finite time intervals. In literature, sufficient works are being carried out to address load balancing problem in the cloud using traditional swarm intelligence techniques like ant colony optimization, particle swarm optimization, cuckoo search, bat optimization, and so on. But the traditional swarm intelligence techniques have issues with respect to convergence rate, arriving at the global optimum solution, complexity in implementation and scalability, which limits the applicability of such techniques in cloud domain. In this paper, we look into performance modeling aspects of some of the recent competitive swarm artificial intelligence based techniques like the whale, spider, dragonfly, and raven which are used for load balancing in the cloud. The results and analysis are presented over performance metrics such as total execution time, response time, resource utilization rate, and throughput achieved, and it is found that the performance of the raven roosting algorithm is high compared to other techniques.
Effect of Nanofluid on Heat Transfer Enhancement for Mixed Convection Flow Over a Corrugated Surface
Authors: Roy Nepal Chandra , Siddiqa Sadia 
Published: July 2020

Abstract
A mathematical model for mixed convection flow of a nanofluid along a vertical wavy surface has been studied. Numerical results reveal the effects of the volume fraction of nanoparticles, the axial distribution, the Richardson number, and the amplitude/wavelength ratio on the heat transfer of Al2O3-water nanofluid. By increasing the volume fraction of nanoparticles, the local Nusselt number and the thermal boundary layer increases significantly. In case of

Ri
=
1.0

\mathrm{Ri}=1.0

, the inclusion of 2 % and 5 % nanoparticles in the pure fluid augments the local Nusselt number, measured at the axial position 6.0, by 6.6 % and 16.3 % for a flat plate and by 5.9 % and 14.5 %, and 5.4 % and 13.3 % for the wavy surfaces with an amplitude/wavelength ratio of 0.1 and 0.2, respectively. However, when the Richardson number is increased, the local Nusselt number is found to increase but the thermal boundary layer decreases. For small values of the amplitude/wavelength ratio, the two harmonics pattern of the energy field cannot be detected by the local Nusselt number curve, however the isotherms clearly demonstrate this characteristic. The pressure leads to the first harmonic, and the buoyancy, diffusion, and inertia forces produce the second harmonic.
Overcoming the curse of dimensionality in the numerical approximation of Allen–Cahn partial differential equations via truncated full-history recursive multilevel Picard approximations
Authors: Beck Christian , Hornung Fabian , Hutzenthaler Martin , Jentzen Arnulf , Kruse Thomas 
Published: July 2020

Abstract
One of the most challenging problems in applied mathematics is the approximate solution of nonlinear partial differential equations (PDEs) in high dimensions. Standard deterministic approximation methods like finite differences or finite elements suffer from the curse of dimensionality in the sense that the computational effort grows exponentially in the dimension. In this work we overcome this difficulty in the case of reaction–diffusion type PDEs with a locally Lipschitz continuous coervice nonlinearity (such as Allen–Cahn PDEs) by introducing and analyzing truncated variants of the recently introduced full-history recursive multilevel Picard approximation schemes.
A controlled deflection routing and wavelength assignment based scheme in Optical Burst Switched (OBS) networks
Authors: Nleya Bakhe , Khumalo Philani , Mutsvangwa Andrew 
Published: July 2020

Abstract
Heterogeneous IoT-enabled networks generally accommodate both jitter tolerant and intolerant traffic. Optical Burst Switched (OBS) backbone networks handle the resultant volumes of such traffic by transmitting it in huge size chunks called bursts. Because of the lack of or limited buffering capabilities within the core network, burst contentions may frequently occur and thus affect overall supportable quality of service (QoS). Burst contention(s) in the core network is generally characterized by frequent burst losses as well as differential delays especially when traffic levels surge. Burst contention can be resolved in the core network by way of partial buffering using fiber delay lines (FDLs), wavelength conversion using wavelength converters (WCs) or deflection routing. In this paper, we assume that burst contention is resolved by way of deflecting contending bursts to other less congested paths even though this may lead to differential delays incurred by bursts as they traverse the network. This will contribute to undesirable jitter that may ultimately compromise overall QoS. Noting that jitter is mostly caused by deflection routing which itself is a result of poor wavelength and routing assigning, the paper proposes a controlled deflection routing (CDR) and wavelength assignment based scheme that allows the deflection of bursts to alternate paths only after controller buffer preset thresholds are surpassed. In this way, bursts (or burst fragments) intended for a common destination are always most likely to be routed on the same or least cost path end-to-end. We describe the scheme as well as compare its performance to other existing approaches. Overall, both analytical and simulation results show that the proposed scheme does lower both congestion (on deflection routes) as well as jitter, thus also improving throughput as well as avoiding congestion on deflection paths.
Conventional band demultiplexer with high quality factor and transmission power based on four optimized shaped photonic crystal resonators
Authors: Larioui Fateh , Lebbal Mohamed Redha , Bouchemat Touraya , Bouchemat Mohamed 
Published: July 2020

Abstract
In this work, we propose a new filter design based on a ring resonator. This structure has 99% transmission ratio and high sensitivity to detect small refractive index variations of the order of 0.002. More specifically, the small size of this resonator gives the advantage to model a demultiplexer of size 463 µm2 based on four ports which operates in the conventional transmission band. Also, we show that our demultiplexer structure can reach more than 90% transmission ratio with an optical quality factor of about 3800, the spectral width is 0.72 nm and a crosstalk between −13.28 and −32.13. In our study, we emphasized the plane wave method to study the photonic band gap and FDTD to determine the transmission spectrum.
Enhanced redirection strategy for peer to peer services in high-speed and large-capacity ethernet passive optical networks
Authors: Yu Jinxia , Han Shangya , Ye Qing , Qin Panke , Tang Yongli , Xiaojun Wang  , Li Lixiang 
Published: July 2020

Abstract
An important problem of network traffic is how to efficiently carry massive amounts of data traffic generated by Peer-to-Peer (P2P) services in high-speed and large-capacity optical access networks. P2P file-sharing traffic is regarded as one of the biggest bandwidth consumption in the world. Internet service providers can reduce the bandwidth burden in the feeder fiber by localizing the network traffic. In this paper, we propose an enhanced redirection strategy based on the optimized MPCP protocol (ERS-MPCP) to redirect the traffic into the access network and reduce the latency. A Markov chain is used for mathematical modeling. In the proposed strategy, we build a simulation platform for network simulation. Simulation results show that our strategy can improve the overall redirection success rate by up to 9%, thereby reducing the data traffic burden on the core network.
All optical half subtractor based on threshold switching and beams interference mechanisms
Authors: Askarian Asghar 
Published: July 2020

Abstract
In this paper, ultra-fast, compact and high contrast ratio all optical half subtractor based on photonic crystal designed and simulated. The proposed design will be constructed using both threshold switching and interference of beams mechanisms. The proposed structure is composed of six waveguides and a nonlinear ring resonator. The simulation results show that the contrast ratio for D and B ports were obtained about 18.80 and 15.05 dB, respectively. Also the maximum rise, fall and steady-state times and total footprint for suggested all optical half subtractor are 0.5, 0.25, 1.5 ps and 234 μm2, respectively.
Genetic analysis and long-term treatment monitoring of 11 children with glycogen storage disease type IIIa
Authors: Du Caiqi , Wei Hong , Zhang Min , Hu Minghui , Li Zhuoguang , Zhang Cai , Luo Xiaoping , Liang Yan 
Published: July 2020

Abstract

Objectives
To investigate the clinical and genetic characteristics of children with glycogen storage disease type IIIa (GSD IIIa) and to explore the muscle involvement and manifestations of GSD IIIa patients.

Methods
The clinical data of 11 patients with GSD IIIa diagnosed by genetic testing from 2003 to 2019 were retrospectively analyzed.

Results
Twenty variants of AGL gene were detected in 11 patients, eight of which were novel variants. Before treatment, the height was significantly backward. All patients had hepatomegaly. Abnormal biochemical indicators were mainly manifested as significantly increased serum liver and muscle enzymes, accompanied by hypertriglyceridemia, hypoglycemia, hyperlactacidemia, slightly elevated pyruvic acid, and metabolic acidosis. After treatment, the height and liver size of the patients were significantly improved. At the same time, alanine aminotransferase (ALT), aspartate aminotransferase (AST), triglyceride (TG), lactic acid and pyruvic acid in children were significantly decreased, while creatine kinase (CK) was significantly increased. During follow-up monitoring, six patients developed ventricular hypertrophy. Lactate dehydrogenase (LDH) (691.67 ± 545.27 vs. 362.20 ± 98.66), lactic acid (3.18 ± 3.05 vs. 1.10 ± 0.40), and pyruvic acid (64.30 ± 39.69 vs. 32.06 ± 4.61) were significantly increased in patients with ventricular hypertrophy compared with those without ventricular hypertrophy.

Conclusions
In clinical cases of upper respiratory tract infection or gastrointestinal symptoms accompanied by hypoglycemia, dyslipidemia, metabolites disorders, elevated serum liver, and muscle enzymes, the possibility of GSD IIIa should be vigilant. During treatment monitoring, if lactic acid, pyruvic acid, LDH, and CK rise, it indicates that the disease is not well controlled and there is the possibility of cardiac hypertrophy.
Association study of DLK1 in girls with idiopathic central precocious puberty
Authors: Lee Hae Sang , Kim Kyung Hee , Hwang Jin Soon 
Published: July 2020

Abstract

Objective
Mutations in the delta-like 1 homolog (DLK1) gene have recently been reported in patients with idiopathic central precocious puberty (CPP). We aimed to investigate DLK1 mutations or polymorphisms in girls with CPP.

Methods
A total of 100 girls diagnosed with idiopathic CPP were enrolled. DLK1 coding regions were sequenced in girls with idiopathic CPP and healthy girls (controls). The relationship between identified sequence variations and CPP was evaluated via comparison of allele frequencies between patients with CPP and normal healthy controls.

Results
We identified five polymorphisms in DLK1. There was no significant difference with regard to allele frequency between patients with CPP and controls. Polymorphism c.549C>T (p.G183G) in DLK1 gene was identified in only one patient with CPP. In silico analysis with human splicing finder suggested that the variant (c.549C>T) leads to splicing defect.

Conclusions
The sequencing of DLK1 gene has uncovered only one potentially meaningful variant. However, our results demonstrate that DLK1 mutations are a relatively rare cause of idiopathic CPP.