bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decentralized stable and robust fault-tolerant PI plus fuzzy control of MIMO systems: a quadruple tank case study
Authors: Patel Himanshukumar R. , Shah Vipul A. 
Published: January 2020

Abstract
This paper presents a typical design of fault-tolerant control using two decentralized PI plus fuzzy controllers to control the level of the lower two tanks in a nonlinear quadruple tank level process (QTLP). We also present some basic aspects of decentralized control design concerning stability and performance and illustrate them on a case study: a virtual model of a quadruple tank process. Control structure selection based on performance relative gain array (PRGA) is used, and its ability to evaluate the achievable performance is discussed. The controllers are designed based on a conventional PI controller plus fuzzy inference system technique. The relation between inputs/outputs was proved using relative gain array (RGA), and then, we divided the quadruple tank system into two subsystems and controlled each of them separately, both in minimum and non-minimum phases. Both the controllers were designed to control the nonlinear QTLP at any operating points. The proposed approach was compared with a decentralized fuzzy controller subject to actuator/sensor and system component faults. The simulation results show that the proposed decentralized fault-tolerant PI plus fuzzy controller has a more accurate tracking level and less computational time in both minimum and non-minimum phases.
Physico-chemical and bacteriological quality of groundwater in a rural area of Western Niger: a case study of Bonkoukou
Authors: Adamou Hassane , Ibrahim Boubacar , Salack Seyni , Adamou Rabani , Sanfo Safietou , Liersch Stefan 
Published: January 2020

Abstract
The precariousness of the rural population in Africa is often symbolized by the lack of potable and safe drinking water. This study investigates the physico-chemical and bacteriological characteristics of 32 water samples with respect to WHO standards. The water samples were collected from wells, boreholes and small drinking water supply systems (DWS) in and around the township of Bonkoukou (Niger). The Water Quality Index (WQI) tool was used to assess the overall water quality with different physico-chemical parameters. Where the pH of the samples was acceptable, the samples showed higher levels of mineralization and deoxygenation. Overall, the samples were slightly hard, chlorinated and sulfated but much alkaline and contained nitrate and nitrite ions 2–16 times higher than the WHO standards. The use of WQI shows that samples in the DWS are safe for drinking. Samples coming from wells are the most polluted (58.50%) compared to those taken from boreholes (53.00%), while the percentage of samples from boreholes, unfit for drinking, is higher (41.00%) than that of the samples taken from wells (25.00%). Moreover, water in this area was characterized by the presence of total germs indicating bacteriological pollution. Hence, for the supply of safe drinking water to the larger number of people in such a rural area, the capacity of actual DWS must be improved and widespread.
Hydrological assessment for the availability of water for off-stream uses of Karatoa-Atrai River in Bangladesh
Authors: Nowreen Sara , Haque Preetha , Mondal M. Shahjahan , Zzaman Rashed Uz 
Published: January 2020

AbstractExplicit consideration of in-stream flow requirement (IFR) has now become almost mandatory in many rivers before irrigation withdrawal is made. Thereby, the primary objective was to evaluate the IFR through hydrological approaches and compare the condition with current flow variability and trends. Flow records were collected from five discharge stations for IFR estimation. Performance of the river was also judged with respect to nine hydraulic cross-sectional data and stage data of ten water-level monitoring stations of Bangladesh Water Development Board (BWDB). Results show that since 2000, the upper Karatoa was able to meet IFR, but the lowest part of the river experienced severe deterioration in addressing its dry season functionality. Also, the decreasing trend in off-stream availability is recognized as a threat to the Singra site resulting from severe aggradations of the river beds. Attention to the less off-stream availability at Singra raises concerns over sustaining the river from drying out. It is now evident that a hydrological approach of IFR is more than just an initial rough estimate. Such a precautionary method works well to provide quick technical support and decision reference for a complex system, in particular, to find specific drying out parts of a river of concern.
Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer Peptides
Authors: Basith Shaherin , Manavalan Balachandran , Shin Tae Hwan , Lee Da Yeon , Lee Gwang 
Published: January 2020

:
Peptides act as promising anticancer agents due to their ease of synthesis and modifications,
enhanced tumor penetration, and less systemic toxicity. However, only limited success has been
achieved so far, as experimental design and synthesis of anticancer peptides (ACPs) are prohibitively
costly and time-consuming. Furthermore, the sequential increase in the protein sequence data via highthroughput
sequencing makes it difficult to identify ACPs only through experimentation, which often
involves months or years of speculation and failure. All these limitations could be overcome by applying
machine learning (ML) approaches, which is a field of artificial intelligence that automates analytical
model building for rapid and accurate outcome predictions. Recently, ML approaches hold great
promise in the rapid discovery of ACPs, which could be witnessed by the growing number of MLbased
anticancer prediction tools. In this review, we aim to provide a comprehensive view on the existing
ML approaches for ACP predictions. Initially, we will briefly discuss the currently available ACP
databases. This is followed by the main text, where state-of-the-art ML approaches working principles
and their performances based on the ML algorithms are reviewed. Lastly, we discuss the limitations
and future directions of the ML methods in the prediction of ACPs.
Turning Foes to Friends: Knocking Down Diabetes Associated SGLT2 Transporters and Sustaining Life
Authors: Gupta Ankit , Mittal Sheenu , Monika  , Dhingra Richa , Dhingra Neelima 
Published: January 2020

Background:
The discovery of Sodium-Glucose co-transporter-2 (SGLT2) inhibitors had
rewritten the treatment of diabetes mellitus with an impressive fall in the incidence of death and associated
complications.

Introduction:
The SGLT2 inhibitors by inhibiting the SGLT2 in the proximal nephron, helps in reducing
the reabsorption of approximately 90% of the filtered glucose and increased urinary glucose excretion
(UGE).

Methods:
The literature related to SGLT2 inhibitors has been thoroughly explored from various available
public domains and reviewed extensively for this article. Detailed and updated information
related to SGLT2 inhibitors with a major focus on the recently approved Ertuglifolzin is structured in
this review.

Result:
The present review is an effort to understand the management of diabetes mellitus over the past
few decades with a special focus on the role of SGLT2 receptor in the causes of therapeutic and preventive
strategies for diabetes mellitus. Pragmatic placement of the currently available Canagliflozin,
Dapagliflozin, and Empagliflozin as oral antidiabetic agents has been done. Well accommodated stereochemistry
and a high docking score of Ertugliflozin in ligand-receptor simulation studies attribute to
its high potency.

Conclusion:
This review highlights the unique mechanism of SGLT2 Inhibitors coupled with pleiotropic
benefits on weight and blood pressure, which make it an attractive choice of therapy to diabetic
patients, not controlled by other medications.
Anticancer Effect of Amygdalin (Vitamin B-17) on Hepatocellular Carcinoma Cell Line (HepG2) in the Presence and Absence of Zinc
Authors: El-Desouky Mohamed A. , Fahmi Abdelgawad A. , Abdelkader Ibrahim Y. , Nasraldin Karima M. 
Published: January 2020

Background:
Amygdalin (Vitamin B-17) is a naturally occurring vitamin found in the seeds of the
fruits of Prunus Rosacea family including apricot, bitter almond, cherry, and peach.

Objective:
The purpose of this study was to examine the effect of amygdalin with and without zinc on hepatocellular
carcinoma (HepG2) cell line.

Methods:
MTT assay was used to evaluate the cytotoxicity of amygdalin without zinc, amygdalin + 20μmol
zinc, and amygdalin + 800μmol zinc on HepG2 cell lines. The cell cycle distribution assay was determined by
flow cytometry. Apoptosis was confirmed by Annexin V-FITC/PI staining assay. Moreover, the pathway of
apoptosis was determined by the percentage of change in the mean levels of P53, Bcl2, Bax, cytochrome c, and
caspase-3.

Results:
Amygdalin without zinc showed strong anti-HepG2 activity. Furthermore, HepG2 cell lines treatment
with amygdalin + 20μmol zinc and amygdalin + 800μmol zinc showed a highly significant apoptotic effect than
the effect of amygdalin without zinc. Amygdalin treatment induced cell cycle arrest at G2/M and increased the
levels of P53, Bax, cytochrome c, and caspase-3 significantly, while it decreased the level of anti-apoptotic Bcl2.

Conclusion:
Amygdalin is a natural anti-cancer agent, which can be used for the treatment of hepatocellular
carcinoma. It promotes apoptosis via the intrinsic cell death pathway (the mitochondria-initiated pathway) and
cell cycle arrest at G/M. The potency of amygdalin in HepG2 treatment increased significantly by the addition
of zinc.
Synthesis and Applications of Hydrogels in Cancer Therapy
Authors: Singhal Anchal , Sinha Niharika , Kumari Pratibha , Purkayastha Manoushikha 
Published: January 2020

:
Hydrogels are water-insoluble, hydrophilic, cross-linked, three-dimensional networks of polymer
chains having the ability to swell and absorb water but do not dissolve in it, that comprise the major difference
between gels and hydrogels. The mechanical strength, physical integrity and solubility are offered by the
crosslinks. The different applications of hydrogels can be derived based on the methods of their synthesis, response
to different stimuli, and their different kinds. Hydrogels are highly biocompatible and have properties
similar to human tissues that make it suitable to be used in various biomedical applications, including drug delivery
and tissue engineering. The role of hydrogels in cancer therapy is highly emerging in recent years. In the
present review, we highlighted different methods of synthesis of hydrogels and their classification based on
different parameters. Distinctive applications of hydrogels in the treatment of cancer are also discussed.
An Efficient Cluster-based Flooding Using Fuzzy Logic Scheme (CBF2S) In Mobile Adhoc Networks
Authors: Mahima S. , Rajendran N. 
Published: January 2020

Aims and Objectives:
Mobile Ad hoc Networks (MANET) hold a set of numerous mobile
computing devices useful for communication with one another with no centralized control. Due
to the inherent features of MANET such as dynamic topology, constrained on bandwidth, energy
and computing resources, there is a need to design the routing protocols efficiently. Flooding is a
directive for managing traffic since it makes use of only chosen nodes for transmitting data from
one node to another. This paper intends to develop a new Cluster-Based Flooding using the Fuzzy
Logic Scheme (CBF2S).

Methods:
To construct clusters and choose proper cluster heads (CHs), the fuzzy logic approach is
applied with the use of three parameters namely link quality, node mobility, and node degree. The
presented model considerably minimizes the number of retransmissions in the network.

Results:
The presented model instructs the cluster members (CM) to flood the packets inside a cluster
which is known as intra-cluster flooding and CHs to flood the packets among the clusters which
is known as inter-cluster flooding. In addition, the gateway sends a packet to another gateway for
minimizing unwanted data retransmissions when it comes under different CH. The presented CBF2S
is simulated using the NS2 tool under the presence of varying hop count.

Conclusion:
The CBF2S model exhibits maximum results over the other methods in terms of overhead,
communication overhead, traffic load, packet delivery ratio, and the end to end delay.
In Vitro Antioxidant and Anti-Convulsant Activity of Methanolic Extract of Sarasvata churna Using scPTZ and MES Models
Authors: Kaushik Rahul , Jain Jainendra , Mazumder Avijit 
Published: January 2020

Background:Sarasvata churna is an Ayurvedic formulation for treatment and management of epilepsy and other maniac disorders since thousands of years.Objective:This study aimed to evaluate the in vitro antioxidant potential, total phenolics and flavonoids content, acute-oral-toxicity and anticonvulsant activity of Sarasvata churna.Materials & Methods:In vitro antioxidant activity of methanolic extract of Sarasvata churna against Nitrous oxide, Peroxide, Phosphomolybdenum and Hydroxyl radicals was performed using Colorimetry against Ascorbic acid as standard along with estimation of total phenolic and flavonoids content. Acute oral toxicity was evaluated using OECD guidelines. Extract in carboxymethyl cellulose at doses of 50,75,100,125,150 and 200 mg/kg was screened for anticonvulsant activity using subcutaneous Pentylenetetrazole and Maximal Electroshock models in Swiss Albino Mice (n=6). Sodium valproate was used as standard.Results:IC50value of methanolic extract in the Nitrous oxide, Peroxide, and Hydroxyl free radical scavenging assay was found to be 165mg/ml, 32.5mg/ml and 253.9mg/ml respectively as compared to 61.58μg/ml, 333.44μg/ml and 351μg/ml respectively of standard Ascorbic acid. In acute oral toxicity screening, animals did not show any signs of acute and delayed toxicity even up to a dose of 2000mg/kg. Extract offered a protection of 57.39% and 85.26% in scPTZ model (P<0.0001) and 74% and 96.38% in MES model (P<0.0001) at doses of 50 and 200mg/kg respectively as compared to standard at 95% Confidence interval (ANNOVA, Tukey test) indicating a dose-dependent protection.Conclusion:Sarasvata churna’s potentials are comparable with standard antioxidant Ascorbic acid and antiepileptic drug Sodium valproate. This preclinical and toxicity screening data can be beneficial in establishing the scientific basis for the use of Sarasvata churna in management of epilepsy.
In vitro Studies on Antimicrobial Sensitivity of Staphylococcus aureus from Prosopis juliflora, Cassia occidentalis and Tephrosia purpurea
Authors: Andhare Aishwarya A. , Shinde Ravindra S. 
Published: January 2020

Background:The resistance of Staphylococcus aureus to commonly used antibiotics is linked to their ability to acquire and disseminate antimicrobial-resistant determinants in nature. This study determined the antibiotic sensitivity profile of Staphylococcus aureus isolated from milk samples of mastitic and healthy dairy cattle. Isolation and Identification of S. aureus was done by Marphological and Biochemical characters.Methods:The primary purpose of this study was to determine Antibiotic Sensitivity of Staphylococcus aureus by using extracts of Prosopis juliflora, Cassia occidentalis and Tephrosia purpurea. Antimicrobial properties of plant extracts were analyzed by determining Zone of Inhibition (ZOI) and Minimum Inhibitory Concentration (MIC). Antibiogram pattern of the isolated Staphylococcus aureus was observed to be Susceptible, Intermediate and Slight resistant by Prosopis juliflora, Tephrosia purpurea and Cassia occidentalis respectively.Result:From the results, it has been indicated that the extracts of Tephrosia purpurea, Prosopis juliflora and Cassia occidentalis are having potential to use in the management of Staphylococcus aureus.Conclusion:Further phytochemical analysis is required to identify the active components of plant extracts showing antimicrobial activity.
Design and Development of the Novel Electrothermal Wall-Hanging Boiler
Authors: Yongxiang Li , Wei Mao , Weiquan Xu , Lin Luo , Gangqiang Lu 
Published: January 2020

Background:
With the rapid development of the domestic, independent heating system,
the wall-hanging boiler has become the focus of concern for a large number of users. As an independent
heat source, it has been widely applied in many places.

Objective:
Based on many deficiencies emerging from the wall-hanging gas boiler used at present, a novel electrothermal wall-hanging boiler is presented in this paper to realize the family central heating and provide constant temperature water supply system in the meantime.

Method:
3D solid model of the wall-hanging boiler was firstly designed by using the software Solidworks, and then, based on ARM intelligent microcontroller, the circuit board production was completed with the corresponding control circuit design to conduct the automatic temperature regulation of the wall-hanging boiler, so as to achieve the desired effect of the constant temperature heating and energy conservation.

Results:
On the basis of the experiments and the test of sample, the trial operation of the prototype can meet the expected requirements. The greatest innovation of the product is to use a new type of nano semiconductor material and a sort of hydrocyclone mode to enhance the heat exchange in a more full and uniform way, as well as improve the thermal efficiency greatly.

Conclusion:
Such patent provides an effective theoretical and experimental basis for the diagnosis and fixing of the electrothermal wall-hanging boiler. With the help of the prototyping fabrication and debugging installation, it can be shown that the novel electrothermal wall-hanging boiler will have a very broad application prospect.
Reliability Analysis and Modeling of Green Computing Based Software Systems
Authors: Malik Sangeeta , Sharma Kapil , Bala Manju 
Published: January 2020

Background:
Software industries are growing very fast to develop new solutions and ease
people’s life. Software reliability has been considered as a critical factor in today’s growing digital
world. Software reliability models are one of the most generally used mathematical tools for estimation
of software reliability. These reliability models can be applied on the development of sustainable
and green computing-based software’s having their constrained development environments.

Objective:
This paper proposes a new reliability estimation model for green IT environment based
software systems.

Methods:
In this paper, a new failure rate behavior-based model centered on green software development
life cycle process has been developed. This model integrates a new modulation factor for incorporating
changing needs in each phase of green software development methodology. Parameter
estimation for proposed model has been done using hybrid Particle Swarm Optimization and Gravitational
Search Algorithm. The proposed model has been tested on real-world datasets.

Results:
Experimental results are showing the enhanced capability of proposed model in simulating
real green software development environment. Using GC-1 and GC-2 dataset, the proposed model is
about 60.05% which is more significant than other models.

Conclusion:
This paper proposed a new failure rate model for softwares that have been developed
under green IT environment.
Landsat 8 Observation of the Internal Solitary Waves in the Lombok Strait
Authors: Karang I Wayan Gede Astawa , Chonnaniyah Chonnaniyah , Osawa Takahiro 
Published: January 2020

Landsat 8, Landsat Data Continuity Mission (LDCM) satellite, was launched on 11 February 2013 with Operation Land Imager (OLI) sensors. Tis sensor has better radiometric performance than the previous mission, which is quantized in the 12-bit dynamic range due to an increase in the signal-to-noise (SNR) ratio. In this analysis, the spatio-temporal distribution of the propagation of the internal solitary wave (ISW) in the Lombok Strait was extracted from the Landsat 8 images described for the ﬁrst time. Tere were 14 ISW events studied for period 2014 - 2015 using Landsat 8. Te manifestations of ISW recorded on Landsat 8 images were then extracted using digitization method to investigate and measure several parameters and ISW distribution in the Lombok Strait. Te estimation results of the average ISW phase velocity in this study are 2.05 ms-1 with the direction of propagation heading north at an average angle of 19.08°. Tis study has shown that Landsat 8 can be used to monitor and analyze several internal wave parameters in the ocean.
Bottom-up authoring of software engineering methods and practices
Authors: Trujillo Miguel Ehécatl Morales , Oktaba Hanna , Piattini Mario , Ramírez Boris Escalante 
Published: January 2020

Software Engineering knowledge is obtained during software engineering efforts, such as projects, experiments and case studies that represent a valuable source of knowledge with which to enrich the discipline. This knowledge is manipulated by practitioners who are in charge of developing, maintaining or integrating software; any practitioner, experienced or beginner, possesses his/her tacit practices in order to carry out their work. However, these ways of working are frequently neither expressed nor collected in order to reason about their characteristics and properties. Moreover, the explicit ways of working, which are presented in process reference models and standards that follow a prescriptive approach, are not suitable for small software development organizations. Small organizations represent a major part of software development organizations, so it is important to know and support how they actually work.
This paper describes KUALI-BEH, a bottom-up metamodel that offers software engineering practitioners an authoring framework with which to express, adapt and share their ways of working as a collection of methods and practices. Validating and applying the metamodel showed that a bottom-up approach benefits small organizations and serves as a first step to reduce the gap between software engineering theory and practice. KUALI-BEH permits small organizations to create an organizational working method and to gradually introduce them to the adoption of standards and reference models. Practitioners with different levels of competence, from inexperienced to senior, adopt and use KUALI-BEH successfully with minimal training and without any consulting services.
Effect of Cr on electronic and mechanical properties of TiS2 compound: A first-principles study
Authors: Pathak Ashish 
Published: January 2020

The electronic structural and mechanical properties for hexagonal structure of unpolarized TiS2Cr and spin-polarized TiS2Cr compounds have been studied using first principles pseudo potential plane wave method. The equilibrium lattice constant values of unpolarized TiS2 and TiS2Cr compounds are in agreement with the available theoretical data. The unpolarized TiS2 and TiS2Cr compounds display metallic bonding whereas spin-polarized TiS2Cr shows directional bonding. Based on shear to bulk modulus (G/B) ratios, the unpolarized TiS2 and TiS2Cr compounds are associated with ductile behaviour whereas spin-polarized TiS2Cr compound shows brittle nature. The Debye temperature ( ) is higher for spin-polarized TiS2Cr.