bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Kualitas Layanan E-Government dengan Pendekatan E-GovQual Modifikasi
Authors: Septa Frandika , Yudhana Anton , Fadlil Abdul
Published: December 2019

E-Government Quality (E-GovQual) is a method for measuring the quality of electronic-based information systems in providing services to the public. The Modified E-GovQual Approach uses the overall assessment of the SIMSARPRAS website (Infrastructure Management Information System) based on the user's perception of the SIMSARPRAS website, so that the analysis of service quality becomes more accurate and precise in its assessment. Overall assessment of the E-GovQual Modification approach aims to determine the quality of service based on the level of influence of the 6 independent variables of E-GovQual, namely the ease of use, trust variable, function variable and form interaction (functionality of the interaction environment), variable reliability (reliability), variable content and display information (content and appearance of information) and supporting variables (citizen support) to the dependent variable, namely user satisfaction. This study uses the modified E-GovQual method by conducting validity, reliability testing, multiple linear regression analysis, t test and F test on the results of the questionnaire on 500 respondents, with 6 independent variables and 1 dependent variable. The results obtained in this study note that the quality of SIMSARPRAS website services has an effect of 61.7% on user satisfaction, and the correlation coefficient value is 78.5%. With these results, it was concluded that the SIMSARPRAS website has good service quality as an application that performs public services, and there is a strong relationship between the quality of E-Government services and the satisfaction of E-Government users. The results of this study also become a reference or evaluation material to the Ministry of Religion as the owner of the SIMSARPRAS website and can also be used as a reference for similar research.
Path tracking with minimum time of vehicle handling inverse dynamics based on adaptive gauss pseudospectral method
Authors: Liu Yongsheng , Liu Yingjie
Published: December 2019

Vehicle driving safety is the urgent key problem to be solved by an independent automobile development project. And it is also the premise and one of the necessary conditions for active vehicle safety. A new technique for path tracking with minimum time of vehicle handling inverse dynamics is proposed in this paper. Based on a new optimal control method – Adaptive Gauss Pseudospectral Method (AGPM), the optimal control for path tracking with minimum time problem was converted into a nonlinear programming problem which met the boundary condition and a series of path constraints including path constraint, state constraint, control constraint. And then the problem was solved using the sequential quadratic programming (SQP). The simulation results showed that the proposed method was not sensitive to the initial value and the optimization efficiency was higher compared with indirect methods and traditional direct methods. When solving the problem of path tracking with minimum time as per this method, boundary constraints and path constraints were well satisfied. The algorithm was not only precise but it could also shorten the evaluation period of vehicle handling stability and could reduce the tremendous cost for real vehicle testing. So the maneuverability of two different vehicles that complete the pylon course slalom test road with minimum time can be evaluated objectively by utilizing the method. The model correctness is verified through a real vehicle test.
Coupling dynamic stiffness identification of mechanical assembly with linear and planar connection by the indirect scheme of inverse substructuring analysis
Authors: Xu Kun-Peng , Lu Guang-Qing
Published: December 2019

Mechanical assembly is an important process in manufacturing electromechanical products and it directly affects the dynamic quality of a whole product. The traditional inspection and analysis of mechanical assembly quality mainly focuses on the “static quality”, such as the shape accuracy and dimensional coordination, while ignoring its “dynamic quality”, which is incomplete estimation on the assembly quality. Meanwhile, the assembly coupling dynamic stiffness is a key determinant of the dynamic quality of mechanical assembly. To overcome test operation difficulties in practical application which is caused by the direct scheme of inverse substructuring of the mechanical assembly coupling dynamic stiffness, it needs to discrete the non-ideal mechanical assembly connection interface including linear and planar connection interface so as to apply two kinds of indirect method of inverse substructuring analysis based on frequency response function (FRF) spectrum to recognize its coupling dynamic stiffness. The experimental models of mechanical assembly for the more practical linear and planar connections are designed, and the practicability of applying these two methods to recognize the dynamic stiffness after assembly coupled is verified.
A study on the behavior of structures based on the rocking motion of rigid cores involving pre-compressed springs and viscous dampers
Authors: Legzian Gholamreza , Hashemi Behrokh Hosseini , Hosseini Mahmood
Published: December 2019

To create a partial rocking mode in a building structure during an earthquake, two or more rigid cores with joint connection to the foundation, and capable of moving in the two main directions of the building’s plan, can be used. A rigid core with a hinge connection to the foundation is essentially unstable. However, two rigid cores can be connected together by springs and dampers in certain floors to create a stable structure. At the same time, the structure shows a rocking behavior in which the building moves almost as a rigid body. In fact, the effects of all modes other than the fundamental one is almost eliminated. The use of yielding or friction dampers leads to permanent displacements in the structure in an earthquake. Therefore, in this study pre-compressed springs were employed, which do not create any permanent displacement. The pre-compressed springs were used to provide the structure with initial stiffness and prevent any displacement by small forces. Since an elastic spring does not have any damping, it was decided to control the structural displacements by viscous dampers in certain floors. Finally, the proposed structure underwent static and time-history analyses in plastic range, and the results suggested the desirable behavior of the proposed structure. In particular, there were no permanent displacements left in the structure after the earthquake.
DEM simulation and experimental study on the screening process of elliptical vibration mechanical systems
Authors: Chen Bing , Yan Jiwei , Mo Wei , Xu Chuanlei , Zhang Lijie , Tamma Kumar K
Published: December 2019

For an elliptical vibration system, the vibration parameters seriously affect conveying speed and sieving efficiency of the materials. In addition, considering the lack of studies about the elliptical vibration machine, we applied the discrete element method to simulate and analyze the elliptical vibration screening process in this paper. A vibration screening model is particularly based on the purpose of our research to fundamentally demonstrate the novel relationships among the conveying speed, sieving efficiency and vibration parameters of the materials. And the sieving experiment of typical materials is additionally carried out on the same simulation system. This paper analyzes the influence rule of vibration parameters on conveying speed and sieving efficiency of the materials during the elliptical vibration screening process by virtue of comprehensively comparing the results of experimental study coupled with simulation research. Consequently, we can throw up the optimal vibration screening parameters to guarantee high sieving efficiency and large throughput of the screening machine at the same time. The screening test carried out in this paper lays the experimental foundation for the study of the mechanism of elliptical vibration screening machine and the study of materials screening characteristics by combining the conclusions of DEM simulation analysis of lots of materials. It provides not only a basis for selecting the vibration parameters of the actual working process of the screening machine, but also data support based on the experiment and simulation for the study of the sieving mechanism of elliptical vibration systems. For screening mechanism, this is a significant progress which will affect future design and manufacture of elliptical vibration machines. Furthermore, the conclusions drawn from this research can help us study and explain better the screening process of other vibration machinery.
On feasibility of rate-independent stress paths under proportional deformations within hypoplastic constitutive model for granular materials
Authors: Kovtunenko Victor A. , Krejčí Pavel , Krenn Nepomuk , Bauer Erich , Siváková Lenka , Zubkova Anna V.
Published: December 2019

We study stress paths that are obtained under proportional deformations within the rate-independent hypoplasticity theory of Kolymbas type describing granular materials like soil and broken rock. For a particular simplified hypoplastic constitutive model by Bauer, a closed-form solution of the corresponding system of non-linear ordinary differential equations is available. Since only negative principal stresses are relevant for the granular body, the feasibility of the solution consistent with physics is investigated in dependence of the direction of a proportional strain path and constitutive parameters of the model.
Suggestion as a Method of Linguistic Manipulation in Religious Discourse
Authors: Grishenkova T. F. , Variyasova E. V.
Published: December 2019

The research featured suggestive potential of religious discourse. The authors interpret suggestion as an effective tool that allows its users to plant an idea or attitude into the mind of the recipient, the latter being unaware of the object of suggestion. The paper focuses on the problem of interaction between rational and emotional-subjective sides of communication. Suggestion is defined as a way of linguistic manipulation based on the sensory-associative sides of consciousness. The authors study the means and methods of linguistic manipulation of personal attitudes using religious texts as specific examples. The suggestion makes the recipient adopt and include new information in the existing system of views, thus leading to a certain transformation of the worldview, which changes the motivational basis of behavior and may trigger hostile intentions and extremist actions. Suggestive techniques make it possible to avoid legal punishment by disguising facts that can be used to prove the presence of conflict-generating elements in the discourse. Such texts are used to create a certain emotional state, thus facilitating motivation, further contacts, and formation of opinion.
Self-optimizer data-mining method for aquifer level prediction
Authors: Bozorg-Haddad Omid , Delpasand Mohammad , Loáiciga Hugo A.
Published: December 2019

Groundwater management requires accurate methods for simulating and predicting groundwater processes. Data-based methods can be applied to serve this purpose. Support vector regression (SVR) is a novel and powerful data-based method for predicting time series. This study proposes the genetic algorithm (GA)–SVR hybrid algorithm that combines the GA for parameter calibration and the SVR method for the simulation and prediction of groundwater levels. The GA–SVR algorithm is applied to three observation wells in the Karaj plain aquifer, a strategic water source for municipal water supply in Iran. The GA–SVR's groundwater-level predictions were compared to those from genetic programming (GP). Results show that the randomized approach of GA–SVR prediction yields R2 values ranging between 0.88 and 0.995, and root mean square error (RMSE) values ranging between 0.13 and 0.258 m, which indicates better groundwater-level predictive skill of GA-SVR compared to GP, whose R2 and RMSE values range between 0.48–0.91 and 0.15–0.44 m, respectively.
Recognition of Fungal Components by the Host Immune System
Authors: García-Carnero Laura C. , Martínez-Álvarez José A. , Salazar-García Luis M. , Lozoya-Pérez Nancy E. , González-Hernández Sandra E. , Tamez-Castrellón Alma K.
Published: December 2019

:

By being the first point of contact of the fungus with the host, the cell wall plays an important role in the pathogenesis, having many molecules that participate as antigens that are recognized by immune cells, and also that help the fungus to establish infection. The main molecules reported to trigger an immune response are chitin, glucans, oligosaccharides, proteins, melanin, phospholipids, and others, being present in the principal pathogenic fungi with clinical importance worldwide, such as Histoplasma capsulatum, Paracoccidioides brasiliensis, Aspergillus fumigatus, Candida albicans, Cryptococcus neoformans, Blastomyces dermatitidis, and Sporothrix schenckii. Knowledge and understanding of how the immune system recognizes and responds to fungal antigens are relevant for the future research and development of new diagnostic tools and treatments for the control of mycosis caused by these fungi.
Effects of Medium Chain Fatty Acids on Intestinal Health of Monogastric Animals
Authors: Jia Manyi , Zhang Yucheng , Gao Yuqi , Ma Xi
Published: December 2019

Medium-chain fatty acids (MCFAs) are the main form of Medium Chain Triglycerides (MCTs) utilized by monogastric animals. MCFAs can be directly absorbed and supply rapid energy to promote the renewal and repair of intestinal epithelial cells, maintain the integrity of intestinal mucosal barrier function, and reduce inflammation and stress. In our review, we pay more attention to the role of MCFAs on intestinal microbiota and mucosa immunity to explore MCFA's positive effect. It was found that MCFAs and their esterified forms can decrease pathogens while increasing probiotics. In addition, being recognized via specific receptors, MCFAs are capable of alleviating inflammation to a certain extent by regulating inflammation and immune-related pathways. MCFAs may also have a certain value to relieve intestinal allergy and inflammatory bowel disease (IBD). Unknown mechanism of various MCFA characteristics still causes dilemmas in the application, thus MCFAs are used generally in limited dosages and combined with short-chain organic acids (SOAs) to attain ideal results. We hope that further studies will provide guidance for the practical use of MCFAs in animal feed.
Transforming Non-Selective Angiotensin-Converting Enzyme Inhibitors in C- and N-domain Selective Inhibitors by Using Computational Tools
Authors: Alfaro Sergio , Navarro-Retamal Carlos , Caballero Julio
Published: December 2019

The two-domain dipeptidylcarboxypeptidase Angiotensin-I-converting enzyme (EC
3.4.15.1; ACE) plays an important physiological role in blood pressure regulation via the reninangiotensin
and kallikrein-kinin systems by converting angiotensin I to the potent vasoconstrictor angiotensin
II, and by cleaving a number of other substrates including the vasodilator bradykinin and the
anti-inflammatory peptide N-acetyl-SDKP. Therefore, the design of ACE inhibitors is within the priorities
of modern medical sciences for treating hypertension, heart failures, myocardial infarction, and
other related diseases. Despite the success of ACE inhibitors for the treatment of hypertension and
congestive heart failure, they have some adverse effects, which could be attenuated by selective domain
inhibition. Crystal structures of both ACE domains (nACE and cACE) reported over the last decades
could facilitate the rational drug design of selective inhibitors. In this review, we refer to the history
of the discovery of ACE inhibitors, which has been strongly related to the development of molecular
modeling methods. We stated that the design of novel selective ACE inhibitors is a challenge
for current researchers which requires a thorough understanding of the structure of both ACE domains
and the help of molecular modeling methodologies. Finally, we performed a theoretical design of potential
selective derivatives of trandolaprilat, a drug approved to treat critical conditions of hypertension,
to illustrate how to use molecular modeling methods such as de novo design, docking, Molecular
Dynamics (MD) simulations, and free energy calculations for creating novel potential drugs with specific
interactions inside nACE and cACE binding sites.
Measurement of Iron Content and Detection of Sulfate Ion in Traditional/ Industrial Canned Black Olives in Iran
Authors: Asadi-Sharifi Tayebeh , Peivasteh-Roudsari Leila , Molaee-Aghaee Ebrahim , Nazmara Shahrokh , Sadighara Parisa , Khaneghah Amin M.
Published: December 2019

Background:

Black olive contains considerable concentrations of phenolic compounds,
which can result in a higher antioxidant component compared with green olives. Sometimes, as food
fraud, the use of unwanted substances has been observed such as iron sulfate or iron particles for
blackening olives, eventually causing adverse effects on the tissues of the digestive tract, brain, kidney,
and liver in the consumer. The main purpose of this study was to determine flavonoids, iron
content and ion sulfate in canned black olives.

Methods:

Canned black olive from inland/imported and traditional/industrial samples were collected.
The amount of iron, sulfate ion, and flavonoids content were measured by ICP-OES and
spectrophotometer, respectively.

Results:

Industrial black olives (brand N) from Turkey showed the highest iron content (110.17 mg/kg)
and traditional black olives purchased from Rudbar, showed the lowest iron content (6.72 mg/kg).
These values were lower than the iron limit in canned black olives (150 mg/kg). The highest and
lowest levels of sulfate were also found in the traditional black olive of Rudbar and industrial black
olives of Greece, respectively. Sulfate amount was determined between 23.225-82.102 mg/kg.
Traditional black olives of Roudbar had the highest flavonoid, and the lowest flavonoid content was
shown by the industrial black olive of Turkey. The pH was in the range of 4.4-4.8, indicating that the
pH of any of the samples was not higher than the standard maximum level.

Conclusion:

According to the results of this study, iron sulfate has not been added intentionally to
the collected samples.
In Vitro Inhibition Effect and Molecular Docking Study of Curcumin, Resveratrol, and Quercetin on Human Erythrocyte Glutathione Transferase
Authors: Aksoy Mine , Karaman Muhammet , Güller Pınar , Güller Uğur , Küfrevioğlu Ö. İrfan
Published: December 2019

Background:

Chemotherapy has shown varying success rates in the treatment of metastatic cancer in the last 50 years. One of the problems in the use of many chemotherapeutic agents is to increase the expression of glutathione transferase enzyme (GST; EC 2.5.1.18). Therefore, the development of GST inhibitors is important to improve the effectiveness of antitumor drugs and to overcome multi-drug resistance.

Introduction:

Glutathione S-transferases (GSTs) are a major member of enzymes serving in the detoxification of exogenous and endogenous substances. But, it has been reported that GSTs are overexpressed in many tumour cells, and it has been found to be related to developing resistance to anticancer drugs by these cells. The development of GST inhibitors is important to increase the efficacy of antitumor drugs and overcome multi-drug resistance. The aim of our study was to investigate the effect of natural compounds including curcumin, resveratrol, and quercetin on GST enzyme activity. We also aimed to specify inhibition mechanism of the compounds on human erythrocytes GST (hGST) with in silico study.

Method:

GST was purified from human erythrocytes using affinity chromatography (glutathione agarose). The enzyme purity was checked with SDS-PAGE. After the inhibitory effect of the curcumin, quercetin, resveratrol was investigated. Lastly, inhibition mechanisms of these natural compound were identified with induced-fit docking method.

Result:

GST was purified with 19.31% yield from human erythrocytes. In inhibition studies, Ki values of curcumin, quercetin, resveratrol were determined as 0.0021 ± 0.0008, 0.0257 ± 0.0011, 663.3301 ± 0.0936 µM respectively. According to our results, all natural products showed the inhibition effect and the order of inhibition is as follows: curcumin ˃ quercetin ˃ resveratrol.

Conclusion:

According to the results of the in vitro and in silico studies, it can be said that curcumin, quercetin, resveratrol are the inhibitors of human erythrocyte GST. In conclusion, these observations may be of great importance for the potential use of these natural compounds as chemopreventive agents.
Bioanalytical Method Development of Atenolol Enantiomers: Stereoselective Behavior in Rabbit Plasma by RP-UFLC Method
Authors: Chinnaswamy Charan Raju , Gurupadayya Bannimath , Raikar Prachi
Published: December 2019

Objective:

The objective of the method was to develop a new, simple and reliable enantioselective
Reverse Phase- Ultra-Fast Liquid Chromatography (RP-UFLC) method for the separation of
Atenolol enantiomers. A comprehensive study was performed by extending the work to pharmacokinetic
studies using rabbit plasma.

Background:

Many methods were reported for enantioseparation of Atenolol enantiomers but no attempts
were made for chiral separation of Atenolol using rabbit plasma. Moreover, pharmacokinetic
data to prove the efficiency of particular enantiomers in rabbit plasma was not studied.

Methods:

In the present examination, the binary RP-UFLC technique was developed on Phenomenex®
Lux cellulose i5 segment (150×4.6 mm, 5μ) using di-sodium hydrogen phosphate buffer (pH 6.8): acetonitrile
(35:65 v/v) as the mobile phase.

Results:

The elution of Atenolol was observed at 225 nm with a stream rate of 1 mL.min-1. The described
technique offered a linear relationship with a regression coefficient of r2 = 0.997 and 0.996 for
(R) and (S)-enantiomer respectively, between the concentration range of 2-10 ng.mL-1. Atenolol enantiomers
were detected at a retention time (tR) of 2.7 min and 3.10 min for R and S-enantiomer respectively.
The rate of recovery of both Atenolol enantiomers was observed to be (R) 98.18% and (S)
100.45% individually. USFDA guidelines May 2018 were systematically followed for the development
and validation of the bioanalytical method.

Conclusion:

The developed technique was applied for the separation of Atenolol enantiomers and for
the pharmacokinetic determination of Atenolol enantiomers in rabbit plasma.
Quantitative Determination and Validation of Four Phenolic Acids in Salvia Miltiorrhiza Bunge using 1H-NMR Spectroscopy
Authors: Hou Zhuoni , Liang Zongsuo , Li Yuanyuan , Su Feng , Chen Jipeng , Zhang Xiaodan , Yang Dongfeng
Published: December 2019

Background:

Although chromatography and spectrometry-based methods have been used to
analyse phenolic acids in Chinese traditional medicine Salvia miltiorrhiza Bunge (SMB), quantitative
nuclear magnetic resonance (qNMR) has never previously been used to analyse fresh SMB root extracts.

Objective:

To establish a fast and simple method of quantitating danshensu, lithospermic acid, rosmarinic
acid, and salvianolic acid B content in fresh SMB root using 1H-NMR spectroscopy.

Method:

Fresh SMB root was extracted using a 70% methanol aqueous solution and quantitatively
analysed for danshensu, lithospermic acid, rosmarinic acid, and salvianolic acid B using 1H-NMR
spectroscopy. Different internal standards were compared and the results were validated using highperformance
liquid chromatography.

Results:

The established method was accurate and precise with good recovery. The LOD and LOQ
indicated the excellent sensitivity of the method. The robustness was testified by the modification of
four different parameters, and the differences among each parameter were all less than 2%.

Conclusion:

qNMR offers a fast, reliable, and accurate method of identifying and quantifying danshensu,
lithospermic acid, rosmarinic acid, and salvianolic acid B in fresh SMB root extracts.
Thermoelectric Properties of B12N12 Molecule
Authors: Niazian Mohammad Reza , Matin Laleh Farhang , Yaghobi Mojtaba , Masoudi Amir Ali
Published: December 2019

Background:

Recently, molecular electronics have attracted the attention of many researchers,
both theoretically and applied electronics. Nanostructures have significant thermal
properties, which is why they are considered as good options for designing a new generation of
integrated electronic devices.

Objective:

In this paper, the focus is on the thermoelectric properties of the molecular junction points
with the electrodes. The influence of the number of atom contacts was also investigated on the
thermoelectric properties of molecule located between two electrodes metallic. Therefore, the thermoelectric
characteristics of the B12N12 molecule are investigated.

Methods:

For this purpose, the Green’s function theory as well as mapping technique approach with
the wide-band approximation and also the inelastic behaviour is considered for the electron-phonon
interactions.

Results:

It has been observed that the largest values of the total part of conductance as well as its elastic (G(e,n)max) depend on the number of atom contacts and are arranged as: G(e,6)max>G(e,1)max>G(e,4)max. Furthermore, the largest values of the electronic thermal conductance, i.e. Kpmax are seen to be in the order of K(p,4)max < K(p,1)max < K(p,6)max that the number of main peaks increases in four-atom contacts at (E< Ef).

Conclusion:

Furthermore, it is represented that the thermal conductance shows an oscillatory behavior
which is significantly affected by the number of atom contacts.
Nickel and Skin: From Allergy to Autoimmunity
Authors: Drenovska Kossara , Shahid Martin , Vassileva Snejina
Published: December 2019

Introduction & Objectives:

Cutaneous and systemic reactions to various metal implants and
medical devices have been well documented. The aim of this review was to focus on the probable
common mechanisms of allergy and autoimmunity that may lead to similar clinical outcomes following
the growing evidence in the literature of metal and nickel-related systemic, autoimmune or autoinflammatory
disorders.

Methods:

Detailed search of the available electronic databases (PubMed-Medline) was conducted for
review of the literature on that topic till the present moment.

Results:

Multiple reports on the immunological effects of metals including immunomodulation, allergy,
or autoimmunity were identified. It was found that metals may act through immunosuppression,
immunotoxicity, or as immune adjuvants thus provoking allergy and autoimmunity in susceptible individuals.
Both external or internal exposure to metals was observed. Nickel has been identified as the
most common sensitizer, and also the most studied one. The coexistence of both allergic and autoimmune
symptoms, induced by nickel, has been published, suggesting the autoimmune potential of nickel
compounds.

Conclusions:

Clinical experience and scientific literature together demonstrate that metals may play an
important role in the development of autoimmune diseases. While metal implant allergies and complications
are on the rise, they remain a diagnostic and therapeutic challenge. Elucidation of their possible
mechanisms will contribute to the more successful and safer treatment of affected individuals.
Oxidative Stress Targeting Amyloid Beta Accumulation and Clearance in Alzheimer’s Disease: Insight into Pathological Mechanisms and Therapeutic Strategies
Authors: Kaur Sunpreet , Kumar Puneet , Singh Shamsher
Published: December 2019

Background:

Alzheimer’s disease is the most common neurodegenerative disorder
affecting the elderly population and emerges as a leading challenge for the scientific
research community. The wide pathological aspects of AD made it a multifactorial disorder
and even after long time it’s difficult to treat due to unexplored etiological factors.

Methods:

The etiogenesis of AD includes mitochondrial failure, gut dysbiosis, biochemical
alterations but deposition of amyloid-beta plaques and neurofibrillary tangles are implicated
as major hallmarks of neurodegeneration in AD. The aggregates of these proteins disrupt
neuronal signaling, enhance oxidative stress and reduce activity of various cellular enzymes
which lead to neurodegeneration in the cerebral cortex, neocortex and hippocampus.
The metals like copper, aluminum are involved in APP trafficking and promote amyloidbeta
aggregation. Similarly, disturbed ubiquitin proteasomal system, autophagy and amyloid-
beta clearance mechanisms exert toxic insult in the brain.

Result and conclusion :

The current review explored the role of oxidative stress in disruption
of amyloid homeostasis which further leads to amyloid-beta plaque formation and
subsequent neurodegeneration in AD. Presently, management of AD relies on the use of
acetylcholinesterase inhibitors, antioxidants and metal chelators but they are not specific
measures. Therefore, in this review, we have widely cited the various pathological mechanisms
of AD as well as possible therapeutic targets.
Breast Cancer Classification Using Discrete Wavelet Transformation and Deep Learning
Authors: Masa-Ibi Emmanuel , Prasad Rajesh
Published: December 2019

Background:

One of the most prevalent diseases these days is breast cancer which is
common amongst women. This sickness has been increasing to an alarming rate due to the lack of
accurate diagnoses. Early and accurate detection is one of the safest ways to cure a breast cancer
patient.

Objectives:

The objective of this study was to provide a more effective way to accurately classify a
cancer sample; whether is benign or malignant.

Methods:

The classification model is based on the data collected from the UCI machine learning
repository acquired from the Wisconsin hospital called Wisconsin Breast Cancer Data (WBCD). In
this study, we preprocessed the dataset using Discrete Wavelet Transform (DWT) and then tested
the efficiency of Deep Learning (DL) for breast cancer classification. The model was developed using
a feed-forward neural network and the result was compared with the observed values.

Results:

The result of the experiment proved the effectiveness of the proposed classification technique.
The new technique accomplished 98.90% accuracy for classifying breast cancer.

Conclusions:

The result from the experiment shows the importance of data preprocessing and the
efficiency of the neural network over other classification algorithms.
Acorn size influence on the quality of pedunculate oak (Quercus robur L.) one-year old seedlings
Authors: Devetaković Jovana R , Nonić Marina , Prokić Bojan , Šijačić-Nikolić Mirjana , Popović Vladan
Published: December 2019

Pedunculate oak (Quercus robur L.) is one of the most important deciduous tree species in the Serbian and European forests. Different negative factors limit natural regeneration of pedunculate oak forests, so producing of high quality seedlings becomes imperative to ensure successful forest restoration. This research was conducted with to aim to determine whether acorn size is related to seedlings quality. Acorns were collected from the natural pedunculate oak forest and divided into two groups by their size. Acorns were sown in the spring into plastic containers after five months cold storage. Size of acorns was in the standard species range, though germination was low (< 20 %). Germination was more then double in group of large acorns in comparison to group of smaller acorns (19.2 %, respectively 8.6 %). Height and root collar diameter of produced seedlings were lower than seedlings produced in seedbeds in commercial nurseries in Serbia, but it was in range of container produced seedlings in some similar researches. Height to root collar diameter ratio and shoot to root ratio were considered as satisfactory for containerized seedlings. There was not strong correlation between acorn size and seedlings quality attributes.
Elefante na sala
Authors: Pimenta Laura Nayara , Henriques Marcio Simeone
Published: December 2019

No presente artigo refletimos sobre como a questão da exploração sexual infantojuvenil – que envolve fatores coercitivos e tabus sociais que silenciam os sujeitos – transcende, ou não, o campo da preocupação de pequenos grupos para alcançar a atenção pública, tornando-se mais visível e ordenando uma constelação de mobilizações em seu entorno. Para tanto, na primeira seção abordaremos o processo comunicacional de como uma causa se torna pública, é coletivizada e cria e movimenta públicos ao seu redor. Compreendendo que existem barreiras a essa coletivização, na segunda seção exploraremos fatores que a silenciam e bloqueiam. Na terceira seção, analisaremos o caso do Vale do Jequitinhonha, região do Estado de Minas Gerais que apresenta uma situação de pobreza e problemas sociais evidentes, além de um grave índice de exploração sexual de crianças e adolescentes.
An Analysis of the Learning Health System in Its First Decade in Practice: Scoping Review
Authors: Platt Jodyn E , Raj Minakshi , Wienroth Matthias
Published: December 2019

Background

In the past decade, Lynn Etheredge presented a vision for the Learning Health System (LHS) as an opportunity for increasing the value of health care via rapid learning from data and immediate translation to practice and policy. An LHS is defined in the literature as a system that seeks to continuously generate and apply evidence, innovation, quality, and value in health care.

Objective

This review aimed to examine themes in the literature and rhetoric on the LHS in the past decade to understand efforts to realize the LHS in practice and to identify gaps and opportunities to continue to take the LHS forward.

Methods

We conducted a thematic analysis in 2018 to analyze progress and opportunities over time as compared with the initial Knowledge Gaps and Uncertainties proposed in 2007.

Results

We found that the literature on the LHS has increased over the past decade, with most articles focused on theory and implementation; articles have been increasingly concerned with policy.

Conclusions

There is a need for attention to understanding the ethical and social implications of the LHS and for exploring opportunities to ensure that these implications are salient in implementation, practice, and policy efforts.
A Graph Convolutional Network–Based Method for Chemical-Protein Interaction Extraction: Algorithm Development (Preprint)
Authors: Wang Erniu , Wang Fan , Yang Zhihao , Wang Lei , Zhang Yin , Lin Hongfei , Wang Jian
Published: December 2019

BACKGROUND

Extracting the interactions between chemicals and proteins from the biomedical literature is important for many biomedical tasks such as drug discovery, medicine precision, and knowledge graph construction. Several computational methods have been proposed for automatic chemical-protein interaction (CPI) extraction. However, the majority of these proposed models cannot effectively learn semantic and syntactic information from complex sentences in biomedical texts.

OBJECTIVE

To relieve this problem, we propose a method to effectively encode syntactic information from long text for CPI extraction.

METHODS

Since syntactic information can be captured from dependency graphs, graph convolutional networks (GCNs) have recently drawn increasing attention in natural language processing. To investigate the performance of a GCN on CPI extraction, this paper proposes a novel GCN-based model. The model can effectively capture sequential information and long-range syntactic relations between words by using the dependency structure of input sentences.

RESULTS

We evaluated our model on the ChemProt corpus released by BioCreative VI; it achieved an F-score of 65.17%, which is 1.07% higher than that of the state-of-the-art system proposed by Peng et al. As indicated by the significance test (P<.001), the improvement is significant. It indicates that our model is effective in extracting CPIs. The GCN-based model can better capture the semantic and syntactic information of the sentence compared to other models, therefore alleviating the problems associated with the complexity of biomedical literature.

CONCLUSIONS

Our model can obtain more information from the dependency graph than previously proposed models. Experimental results suggest that it is competitive to state-of-the-art methods and significantly outperforms other methods on the ChemProt corpus, which is the benchmark data set for CPI extraction.
Tüketicilerin Online Marka Topluluklarına Katılımları Üzerinde Öz Benlik Uyumunun Rolü
Authors: ÇİFCİ Doç. Dr. Sertaç , COP Prof. Dr. Ruziye , GÖNENİR Ezgi
Published: December 2019

Amaç: İşletmeler gün geçtikçe tüketiciler ile daha iyi bir iletişim sağlayabilmek amacıyla marka topluluklarına özellikle de online marka topluluklarına daha çok önem vermektedir. İlişkisel pazarlama anlayışı ile birlikte başarılı işletmeler marka topluluklarını, hem mevcut hem de potansiyel müşteriler ile uzun dönemli ilişki kurmak için kullanmaktadır. İlişkisel pazarlama, tüketici katılımı ve marka ilişkileri konusunda işletme ile tüketici etkileşimin daha iyi anlaşılmasını sağlamaktadır. İşletmeler açısından marka topluluklarına tüketicilerin katılımlarını sağlanması oldukça önemlidir. Aynı zamanda işletmelerin, tüketici katılımını etkileyen faktörleri tespit edebilmeleri, pazarı anlayabilmek adına stratejik bir önem taşımaktadır. Literatürde tüketici katılımını etkileyen pek çok faktör araştırmacılar tarafından ele alınmıştır. Ancak son yıllarda pazarlama alanında gittikçe daha çok konuşulan öz benlik uyumunun etkisi incelenmemiştir. Tüketicilerin, gerçekte kendilerini nasıl gördükleri şeklinde tanımlanan öz benlik, satın alma tercihlerinde kendileri ile uyumlu markalara yönelmelerine neden olmaktadır. Öz benlik uyumu ise kişinin kendisini nasıl gördüğü ile işletmenin imajı arasında algılamış olduğu benzerliktir. Bu çalışmanın amacı, öz benlik uyumunun tüketicilerin online marka topluluklarına katılımları üzerindeki etkisini araştırmaktır.                Yöntem                Bu amaçla nicel araştırma yöntemi benimsenmiştir. Kolayda örnekleme yöntemi ile ulaşılan 283 katılımcıdan anket formları aracılığı ile veriler elde edilmiştir. Ölçümlerin geçerlilik-güvenilirlik analizlerinin yapılması için SPSS ve Lisrel programları kullanılarak açıklayıcı ve doğrulayıcı faktör analizleri uygulanmıştır. Daha sonra araştırma model ve hipotezlerinin test edilebilmesi için veriler yapısal eşitlik modeli ile analizi edilmiştir.Bulgular Analiz sonucunda öz benlik uyumunun, yardım alma ve marka tutkusu ile katılımı olumlu yönde etkilediği sonucuna varılmıştır. Ayrıca, yardım alma katılımı; hazcı ve faydacı katılımı, marka tutkusu amaçlı katılım ise hazcı katılımı olumlu yönde etkilemiştir.Sonuç Yapılan bu çalışmanın pazarlama literatürüne iki temel katkısı vardır. İlki öz benlik uyumunun tüketicilerin online marka topluluklarına katılımları üzerinde etkili olduğu sonucudur. İşletmeler açısından oldukça önemli olan bu sonuç göstermektedir ki, tüketiciler kendi öz benlikleri ile uyumlu algıladıkları markaların online marka topluluklarına katılım göstermektedir. Bu da işletmelerin pazarlama stratejilerini belirlerken, hedef kitlelerinin öz benliklerini incelemeleri ve bu uyumun algılamasını daha da artıracak faktörlerin üzerinde düşünmesi gerektiğidir. Çalışmanın ikinci katkısı ise Baldus vd. (2015)’nin sunduğu dört temel katılımın kendi aralarında da neden-sonuç ilişkilerine sahip oldukları ve yazarların belirtmiş olduğu gibi online marka topluluklarına katılım üzerinde aynı düzeyde etkili olmadıkları sonucudur.
Pozisyon Okulu mu, Kaynaklara Dayalı Yaklaşım mı? Yöneticilerin Stratejik Konulara İlişkin Görüşleri Üzerine Nitel Bir Araştırma
Authors: COŞKUN Recai , ÇİFTÇİ Duygu
Published: December 2019

Amaç: Çalışmanın amacı, seçilmiş üst düzey yöneticilerin stratejik kararlarında Pozisyon Okulu ile Kaynaklara Dayalı Yaklaşımın iddialarından hangilerine yakın durduklarını belirlemektir.Yöntem: Çalışma hem konunun bağlam ile ilişkisinin kurulmasını hem de odaktaki olgunun ayrıntılı olarak sorgulanmasını gerektirdiği için nitel yöntem mantığına ile tasarlanmıştır. Kasti örneklem tekniği ile farklı endüstrileri temsil eden büyük ölçekli altı firma araştırmaya dâhil edilmiştir. Firmaların kuruluşundan günümüze gelişimini ve bu sürede alınan stratejik kararlara ilişkin bilgi sahibi olan yedi üst düzey yönetici ile yüz yüze mülakat yapılmıştır. Veriler, Pozisyon Okulu ile Kaynaklara Dayalı Yaklaşımın görüşleri doğrultusunda nitel içerik analizi tekniği ile çözümlenmiştir. Bulgular: Bulgular şunlara işaret etmektedir: a)Yöneticiler stratejik ve yönetsel kavramlara farklı içerikler atfetmektedir;  b) Yöneticiler stratejik konular hakkında konuşurken ikili bir dil kullanmakta ve ‘mektebi’ ve ‘mesleki’ dilleri ayrışmaktadır, c) Türkiye’de kamu ve özel sektörün stratejik yönetim uygulamalarının yaygın olarak Pozisyon Okulunun görüşlerine göre biçimlenmesi, yöneticilerin formel ifadelerini bu okulun görüşlerine yaklaştırmaktadır, d) Yöneticiler Pozisyon Okulu ile Kaynaklara Dayalı Yaklaşımın görüşleri arasında geçiş yapabilmektedir.  Sonuç: Çalışmada, yöneticilerin strateji anlayışlarının Pozisyon Okulu’nun görüşlerine yakın olduğu saptanmıştır. Dahası, tercih ettikleri kavramların da belirgin biçimde Pozisyon Okulunun söylemini yansıttığı anlaşılmıştır. Buna karşın, yöneticilerin terminolojiye hâkimiyetlerini sergileme eğilimindeyken Pozisyon Okulunun, kendi uygulamaları ile ilgili değerlendirmeler yaparken ise daha çok Kaynaklara Dayalı Yaklaşımın söylemine yakın ifadeler kullandıkları saptanmıştır. Bu durum ortaya mektebi ve mesleki olmak üzere ikili bir dil çıkarmaktadır. Bu nedenle, bu ikili dilin ileriki çalışmalarda sorgulanması önerilmektedir. Ayrıca, yöneticilerin söylemsel tutarlılıktan çok pratik sonuçları önceleyerek pragmatist bir tavır sergiledikleri belirlenmiştir. Çalışmanın bulguları, bu iki yaklaşımı birleştirme gereğini savunanlar ile farklı kalmaları gerektiğini iddia edenlerin tartışmalarını destekler yahut reddeder nitelikte çıkarımlar yapmayı mümkün kılmamıştır. Yine çalışma sonrasında görülmüştür ki yarı yapılandırılmış mülakatlarla elde edilen veriler yöneticilerin biçimsel ifadelerinin arkasındaki örtük anlamları açığa çıkarmada yetersiz kalmaktadır. Bu sebeple, gelecekte alanda yapılacak çalışmalarda farklı mülakat tekniklerinin yanında zengin ikincil veri setlerinin de kullanılması gerekliliğine dikkat çekilmektedir.
Attenuated Total Reflectance-FTIR Spectra Combined with Multivariate Calibration and Discrimination Analysis for Analysis of Patchouli Oil Adulteration
Authors: Fahmi Zaki , Mudasir Mudasir , Rohman Abdul
Published: December 2019

The adulteration of high priced oils such as patchouli oil with lower price ones is motivated to gain the economical profits. The aim of this study was to use FTIR spectroscopy combined with chemometrics for the authentication of patchouli oil (PaO) in the mixtures with Castor Oil (CO) and Palm Oil (PO). The FTIR spectra of PaO and various vegetable oils were scanned at mid infrared region (4000–650 cm–1), and were subjected to principal component analysis (PCA). Quantitative analysis of PaO adulterated with CO and PO were carried out with multivariate calibration of Partial Least Square (PLS) regression. Based on PCA, PaO has the close similarity to CO and PO. From the optimization results, FTIR normal spectra in the combined wavenumbers of 1200–1000 and 3100–2900 cm–1 were chosen to quantify PaO in PO with coefficient of determination (R2) value of 0.9856 and root mean square error of calibration (RMSEC) of 4.57% in calibration model. In addition, R2 and root mean square error of prediction (RMSEP) values of 0.9984 and 1.79% were obtained during validation, respectively. The normal spectra in the wavenumbers region of 1200–1000 cm–1 were preferred to quantify PaO in CO with R2 value of 0.9816 and RMSEC of 6.89% in calibration, while in validation model, the R2 value of 0.9974 and RMSEP of 2.57% were obtained. Discriminant analysis was also successfully used for classification of PaO and PaO adulterated with PO and CO without misclassification observed. The combination of FTIR spectroscopy and chemometrics provided an appropriate model for authentication study of PaO adulterated with PO and CO.
Chemical Reduction Behavior of Zirconia Doped to Nickel at Different Temperature in Carbon Monoxide Atmosphere
Authors: Dzakaria Norliza , Abu Tahari Maratun Najiha , Salleh Fairous , Samsuri Alinda , Azizi Masitah Abdul Halim , Tengku Saharuddin Tengku Shafazila , Yusop Muhammad Rahimi , Wan Isahak Wan Nor Roslam , Mohamed Hisham Mohamed Wahab , Yarmo Mohd Ambar
Published: December 2019

The reduction behavior of nickel oxide (NiO) and zirconia (Zr) doped NiO (Zr/NiO) was investigated using temperature programmed reduction (TPR) using carbon monoxide (CO) as a reductant and then characterized using X-ray diffraction (XRD), nitrogen absorption isotherm using BET technique and FESEM-EDX. The reduction characteristics of NiO to Ni were examined up to temperature 700 °C and continued with isothermal reduction by 40 vol. % CO in nitrogen. The studies show that the TPR profile of doped NiO slightly shifts to a higher temperature as compared to the undoped NiO which begins at 387 °C and maximum at 461 °C. The interaction between ZrO2 with Ni leads to this slightly increase by 21 to 56 °C of the reduction temperature. Analysis using XRD confirmed, the increasing percentage of Zr from 5 to 15% speed up the reducibility of NiO to Ni at temperature 550 °C. At this temperature, undoped NiO and 5% Zr/NiO still show some crystallinity present of NiO, but 15% Zr/NiO shows no NiO in crystalline form. Based on the results of physical properties, the surface area for 5% Zr/NiO and 15% Zr/NiO was slightly increased from 6.6 to 16.7 m2/g compared to undoped NiO and for FESEM-EDX, the particles size also increased after doped with Zr on to NiO where 5% Zr/NiO particles were 110 ± 5 nm and 15% Zr/NiO 140 ± 2 nm. This confirmed that the addition of Zr to NiO has a remarkable chemical effect on complete reduction NiO to Ni at low reduction temperature (550 °C). This might be due to the formation of intermetallic between Zr/NiO which have new chemical and physical properties.
Application of Functionalized Multi-Walled Carbon Nanotubes for Growth Enhancement of Mustard Seed Germination
Authors: Subagio Agus , Prihastanti Erma , Ngadiwiyana Ngadiwiyana
Published: December 2019

Multi-walled carbon nanotubes (MWCNTs) are one of the nanomaterials that can be applied to agriculture. This work investigates the beneficial effects of MWCNT function on mustard plants. In this study, the material of MWCNTs is functionalized with nitric acid to attach the carboxylic group onto the tube wall. The functionalized MWCNTs were characterized by SEM, TEM, XRD, and FTIR. The MWCNT diameter produced ranges from 20 to 50 nm and the inner diameter is 5 to 10 nm at the pyrolysis temperature of 900 °C. It was found that crystallites of the MWCNTs have (002) and (100) directions. There is a weak peak in MWCNTs prior to the functionalization process due to the presence of metal carbide (Fe3C), which serves as an active catalyst. FTIR results clearly indicate the presence of hydroxyl and carboxylic groups. These functionalized MWCNTs were dispersed into distilled water with various concentrations at 25, 50 and 75 µg/mL. By utilizing an immersion time of 24 h, mustard (Brassica juncea) seeds were soaked in each functionalized and non-functionalized MWCNT solution. Functionalized MWCNT solution at a concentration of 50 µg/mL was found to affect the growth of mustard seeds more significantly.