bluuebunny/crossref_metadata_2025_split huggingface dataset:
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.
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.
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.
Analisis sentimen kritik dan saran pelatihan aplikasi teknologi informasi (PATI) menggunakan algoritma support vector machine (SVM)
Authors: Al Kabir Alimuddin Hasan , Basuki Setio , Wicaksono Galih Wasis 
Published: December 2019

Public opinion is one of many instrument that can be used to evaluate of an event. This research based on several problems, they are (1) quality improvement are necessary for Pelatihan Aplikasi Teknologi Informasi, (2) too much of data make the participant’s opinion that has been collected has not been maximally utilized. Criticism and suggestions datas are taken from 2016/2017th school year in amount of 1050. Support Vector Machine is used as a method in sentiment analysis. The data training process will produce the best hyperplane used as a reference to determine which sentiment class is much appropriate for a sentence. The test is done by dividing the dataset into the test data as much as 20% and the training data as much as 80% so it can be done the analysis process up to 5 times iteration with different data arrangement. The test results show the calculation of Accuracy, Precision, Recall, and F-Measure generated by system is equal to 82,08%, 83,42%, 81,16%, and 81,82%.
Pengelompokan kata berdasarkan kemiripan ucapan pada kamus menggunakan algoritma metaphone pada sistem operasi Android
Authors: Maryanto Aditya Dwi , Munarko Yuda , Azhar Yufis 
Published: December 2019

Indonesia is an archipelagic country consisting of various tribes and cultures and different languages. One of them is the Sumbawa language used by the people of the western part of the island of Sumbawa. Sumbawa language has 4 dialects namely Samawa, Taliwang, Jereweh, and Tongo. In Sumbawa there are also homophonic, homonim, and homograph words. Grouping words based on the similarity of speech to the Sumbawa dictionary used Metaphone algorithm on the android operating system is discussed in this study. Metaphone algorithms can be applied to multiple languages with rules that have been modified according to the desired language characteristic. Based on the results of testing the recall and precision on the new rules Metaphone algorithm can be concluded that the grouping of words based on similarity of speech in Sumbawa language can be said to be effective. The average percentage index of the recall test is 98,97% and the precision is 78,52%.