bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparation of Al-doped ZnO Nanoparticulate Film for Optoelectronic Applications
Authors: Tran Thu V. , Maenosono Shinya 
Published: April 2019

AbstractAl-doped ZnO (AZO) nanoparticles (NPs) were synthesized by the solvothermal decomposition. The as-synthesized AZO NPs were characterized by X-ray diffraction and transmission electron microscopy. These NPs were well dispersible in non-polar solvents at high concentration to produce AZO nanoink. The AZO nanoparticulate films were prepared from AZO nanoink by spin coating technique. Thickness, surface morphology, optical transparency and conductivity of the films were characterized by surface profilometer, scanning electron microscopy, UV-Vis spectroscopy and Hall measurements. The AZO nanoparticlulate films had highly optical transmittance and well electrical conductivity, which are potential for optoelectronic applications.
Solar Cells based on Cu2ZnSnS4 Thin Films Prepared from Metal Salts and Thioacetamide
Authors: Fischereder Achim , Gruber Katharina , Haas Wernfried , Zankel Armin , Rath Thomas , Hofer Ferdinand , Trimmel Gregor 
Published: April 2019

AbstractCopper zinc tin sulfide (Cu2ZnSnS4, CZTS) consists of abundant and cheap elements and is therefore a very promising alternative to semiconductors based on Ga or In as solar absorber material. In addition it displays very beneficial properties like a high optical absorption coefficient and an ideal band gap for photovoltaic applications. In this contribution we present the preparation of CZTS thin films from metal salts (copper(I) iodide, zinc(II) acetate and tin(II) chloride) and thioacetamide as sulfur source by a solution based precursor method. CZTS solar cells based on these films as absorber layer with a simple ITO/CZTS/CdS/Al assembly are fabricated and characterized. Efficiencies up to 0.5% were achieved demonstrating the potential of this precursor method for the preparation of CZTS thin films for photovoltaic applications.
Wet Chemical Synthesis of Transparent Colloidal Solution of YVO4:Bi3+,Eu3+ Nanophosphor
Authors: Takeshita Satoru , Ogata Hiroko , Isobe Tetsuhiko , Sawayama Tomohiro , Niikura Seiji 
Published: April 2019

AbstractA transparent colloidal solution of YVO4:Bi3+,Eu3+ nanophosphor is prepared by the wet chemical synthesis in the presence of sodium citrate. When an ethylene glycol solution of Bi(NO3)3, aqueous solutions of (Y,Eu)(NO3)3, sodium citrate, and Na3VO4 are mixed and aged at 85 °C, crystalline YVO4:Bi3+,Eu3+ spherical nanoparticles of ∼ 20 nm in size are formed via the amorphous precursor during aging, as confirmed by X-ray diffractometry and transmission electron microscopy. The crystallization completes at the aging time of ∼ 25 min. At the same time, a sudden reduction in the hydrodynamic size is observed by dynamic light scattering analysis, and the colloidal solution becomes transparent to naked eyes. The nominal molar percentage of sodium citrate relative to the sum of metallic ions, Y3+, Bi3+, and Eu3+, affects the particle size and the aggregation property of the nanoparticles. The sample prepared at 50 mol% citrate, followed by aging at 85 °C for 60 min have the minimum mean size of primary nanoparticles, 21 nm, the minimum mean hydrodynamic size, 36 nm, and hence the highest transparency.
Ultra high resolution, low temperature, direct metal patterning by selective laser processing of solution deposited metal nanoparticles
Authors: Ko Seung H. , Yang Dong Yeol , Pan Heng , Frechet Jean M. , Son Yong , Lim Tae Woo , Yeo Junyeob , Grigoropoulos Costas. P. 
Published: April 2019

AbstractAll-printed electronics is the key technology to ultra-low-cost, large-area electronics. As a critical step in this direction, we demonstrate that femtosecond laser processing (sintering and ablation) of solution deposited metal nanoparticles enables direct metal patterning at low-temperature with ultra high resolution (∼300nm) to overcome the resolution limitation of the current inkjet direct writing processes.This could be explained by the combined effects of novel properties of metal nanoparticles such as melting temperature drop, strong absorption of the incident laser beam at surface plasmon mode, lower conductive heat transfer loss, and the relatively weak bonding between nanoparticles. Local thermal control of the laser sintering process could minimize the heat-affected zone and the thermal damage to the substrate and further enhance the resolution of the process. This local nanoparticle deposition and energy coupling enable an environmentally friendly and cost-effective process as well as a low-temperature manufacturing sequence to realize large-area, flexible electronics on polymer substrates.
Plasmonic Oscillations in Au Nano-rods Fabricated by Electron
Beam Lithography
Authors: Guler Urcan , Turan Rasit 
Published: April 2019

AbstractLocalized Surface Plasmon Resonances (LSPR) in rod-shaped Gold (Au)
nanoparticles patterned with Electron Beam Lithography (EBL) technique are
observed via reflectance measurements. Resonance peaks corresponding to the
principal axes of the nano-rods are shown to be affected by each other.
Excitation of one of the peaks is found to result in a decrease in the peak
intensity of the resonance through the other axis. Arrays of Au
nanoparticles with constant width and thickness but increasing length are
examined for further understanding of the effect. As the particle length
increased from 70 nm to 300 nm, resonance peak wavelength shifted from 650
nm to 1200 nm. Total reflectance intensities of samples with varying
principal axis dimensions obtained through the spectral region of interest
are also examined to see the relation between contributing electrons and
total amount of reflected intensity. Results corresponding to both polarized
and unpolarized illumination of samples are presented together to gain
better understanding of lowered reflectance peak intensities obtained from
the latter case. Based on the results obtained so far, nano-sized metal rods
are promising tools for optically switched intensity modulation in the
visible and near-IR region.
Plasmonic Photocurrent Enhancement in Silicon-on-Insulator
Devices Due to Colloidal Silver Nanoparticles
Authors: Ozturk Birol , Schiff Eric A. , Zhao Hui , Damkaci Fehmi , Yan Baojie , Yang Jeff , Guha Subhendu 
Published: April 2019

AbstractA layer of silver nanoparticles created by thermal annealing of evaporated
silver films can increase the photocurrents in silicon-on-insulator (SOI)
devices by fivefold or more, but significant enhancements have been
restricted to wavelengths greater than 800 nm. Here we report a significant
enhancement of photoconductance at shorter wavelengths (500-750 nm) by using
a monolayer of silver nanoparticles transferred from a colloidal suspension.
Photocurrents on SOI increased in the 500-750 nm spectral range with the
addition of silver nanoparticles, with enhancements more than two times;
enhancements at longer wavelengths were small, in contrast to results with
annealed silver films. We prepared similar colloidal silver nanoparticle
monolayers layers on nanocrystalline silicon solar cells with conducting
oxide top layers. There is an overall decrease in the quantum efficiency of
these cells with the deposition of silver nanoparticles. We attribute these
effects to the substantial substrate-mediated changes in the localized
surface plasmon resonance frequencies of the differing nanoparticle
configurations.
Öğretmen Adaylarının Sosyal Medya Etiğine İlişkin Görüşlerinin Etik İkilem Senaryolarıyla İncelenmesi
Authors: MISIRLI Özge , KUZU Abdullah 
Published: April 2019

Teknolojinin
yaygınlaşmasıyla birlikte etik dışı davranışlarda bulunmak daha kolay bir hal
almıştır. Gerek maruz kalınan olaylar gerekse gözlemlenen davranışlar temel
alınarak aslında etik olmayan pek çok davranış normalleşmiş, çok sayıda insan
tarafından sıklıkla yapılır hale gelmiştir. Mason (1986) tarafından ortaya
konulan modelin temel alındığı bu araştırmanın amacı öğretmen adaylarının
sosyal medyadaki etik davranışlarına ilişkin profillerini ortaya koymaktır. Araştırmada 23 öğrenci ile üç grupta odak grup
görüşmesi yapılmıştır. Odak grup görüşmelerinde araştırmacı tarafından yazılmış
olan etik ikilem senaryoları kullanılmış ve öğrencilerin bu senaryolar
üzerinden tartışmaları sağlanmıştır. Yapılan odak grup görüşmelerine
göre öğrencilerin birkaçı dışında hepsinin kendilerine sağlayacakları
faydaların etik davranışlarının önüne geçtiği, kendi menfaatleri söz konusu
olduğu zaman etik dışı davranmaktan çekinmeyebilecekleri yapılan görüşmelerden
elde edilen sonuçlar arasında olduğu söylenebilir.
PRODUCT DEVELOPMENT SEASONING OF MADURA SATAY
Authors: Prasnowo M. Adhi , Hidayat Khoirul 
Published: April 2019

Purpose of Study: Madura is one area in East Java province which has a wide range of local advantages such as Madura satay, Madura herbal, salt, corn, handicraft sickles, and others. Madura Satay is one of the advantages of a locally owned Madura island which is well known by the people of Indonesia and even to foreign countries. The seasoning of Madura satay is manufactured directly by the original Maduran people, so that consumers difficult to find its specific spices in the market. Therefore, there is a need for research on the development of the seasoning products of Madura satay instant.
Methodology: The method used in this research is the method of Quality Function Deployment.
Result: Based on the results of data analysis and processing, it can be concluded that there are eight consumer needs instant seasoning products of Madura satay, namely; product texture should be soft, there are a rancid taste, taste sweet spicy seasoning, spice brown-golden color, weight 500 grams of product, packaging using clear plastic material, the packaging must be attractive, low prices.
Implications/Applications: The level of customer satisfaction, there are two attributes of customer satisfaction that still need to be improved, namely the product weight of 500 grams and packaging using clear plastic material.
KARAKTERISTIK MIE KERING DENGAN SUBSTITUSI TEPUNG GEMBILI DAN PENAMBAHAN PLASTIZISER GMS (GLISEROL MONO STEARAT)
Authors: Winarti Sri , Susiloningsih Enny Karti Basuki , Fasroh Ferry Yusuf Zaenal 
Published: April 2019

Mie saat ini merupakan salah satu makanan yang sangat digemari semua masyarakat, hal ini didukung dengan kecenderungan dan pola hidup masyarakat modern yang lebih menginginkan makanan siap saji. Kebutuhan terigu yang merupakan bahan dasar pembuatan mie perlu diimbangi dengan upaya substitusi dengan bahan baku local, salah satu alternatif menggunakan tepung umbi gembili (Dioscorea esculenta L.). Meskipun telah dapat dikembangkan menjadi tepung, kelemahan dari sifat fungsional tepung umbi gembili ialah tidak adanya kandungan gluten pada tepung gembili yang mengakibatkan adonan mie kurang elastis. Salah satu upaya untuk memperbaiki kelemahan tersebut adalah dengan penambahan plastisizer yaitu gliserol monostearat untuk memperbaiki karakteristik mie kering. Penelitian ini bertujuan mempelajari pengaruh substitusi tepung gembili dan penambahan gliserol monostearat terhadap kualitas fisikokimia dan organoleptik mie, sehingga dihasilkan mie dengan kualitas baik dan disukai konsumen.<br />Rancangan penelitian yang digunakan adalah Rancangan Acak Lengkap (RAL) yang terdiri dari 12 perlakuan dan tiga kali ulangan dengan perlakuan substitusi tepung gembili (0%; 15%; 30%; dan 45%) dan penambahan GMS (1%; 2%; 3%). Data dianalisa menggunakan metode two-way ANOVA pada tingkat kepercayaan 95%, Jika ada perbedaan antar perlakuan dilanjutkan dengan Uji Duncan α = 5%, dan untuk analisa uji organoleptik menggunakan metode hedonik scale scoring dengan perhitungan data menggunakan metode friedman. Hasil penelitian menunjukan mie kering tepung gembili dengan perlakuan substitusi tepung gembili 15% dan penambahan gliserol monostearat 3% merupakan perlakuan terbaik dengan nilai kadar air 8,84%, kadar abu 1,65%, kadar protein 7,50%, kadar pati 55,99%, daya rehidrasi 41,93%, elastisitas 25,69%, cooking loss 7,94%, serta jumlah ranking warna 132,00, aroma 114,50, dan tekstur 183,00
A large number of cerebral microbleeds in CADASIL patient presented with recurrent seizures: A case report
Authors: Anamnart Chumpol , Songsaeng Dittapong , Chanprasert Sirisak 
Published: April 2019

Abstract
Background

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a hereditary arteriopathy associated with NOTCH3 gene. Clinical manifestations include strokes, transient ischemic events, psychiatric disturbances, dementia, as well as migraines. We report a case of a Thai man with severe phenotype of CADASIL presenting with recurrent seizures and acute ischemic stroke in whom classic vascular risk factors are also present.

Case presentation

A 50 year-old-man who has had history of mood disorder and progressive cognitive decline for 20 years as well as well-controlled diabetes mellitus and hypertension presenting with recurrent generalized seizures and acute right-sided weakness. The MRI of the brain showed acute infarction of the left pons, a large number of cerebral microbleeds throughout the brain and white matter abnormalities without classic anterior temporal lobe lesion. Molecular genetic testing identified homozygous pathologic variants, c.1672C>T (p. Arg558Cys) in the NOTCH3 gene. The diagnosis of CADASIL was confirmed. His clinical symptoms deteriorated, and he died of fever of unknown origin with secretion obstruction.

Conclusion

This case raises the awareness of an uncommon cause of acute ischemic stroke in patients with classic vascular risk factors and highlights the complete evaluation for an unexpected clinical presentation or unexpected diagnostic study results.
Metabolic Reprogramming of Cancer by Chemicals that Target Glutaminase Isoenzymes
Authors: Matés José M. , Campos-Sandoval José A. , de los Santos-Jiménez Juan , Segura Juan A. , Alonso Francisco J. , Márquez Javier 
Published: April 2019

Background:
Metabolic reprogramming of tumours is a hallmark of cancer. Among the
changes in the metabolic network of cancer cells, glutaminolysis is a key reaction altered in neoplasms.
Glutaminase proteins control the first step in glutamine metabolism and their expression
correlates with malignancy and growth rate of a great variety of cancers. The two types of glutaminase
isoenzymes, GLS and GLS2, differ in their expression patterns and functional roles: GLS
has oncogenic properties and GLS2 has been described as a tumour suppressor factor.

Results:
We have focused on glutaminase connections with key oncogenes and tumour suppressor
genes. Targeting glutaminase isoenzymes includes different strategies aimed at deactivating the
rewiring of cancer metabolism. In addition, we found a long list of metabolic enzymes, transcription
factors and signalling pathways dealing with glutaminase. On the other hand, a number of chemicals
have been described as isoenzyme-specific inhibitors of GLS and/or GLS2 isoforms. These molecules
are being characterized as synergic and therapeutic agents in many types of tumours.

Conclusion:
This review states the metabolic pathways that are rewired in cancer, the roles of glutaminase
isoforms in cancer, as well as the metabolic circuits regulated by glutaminases. We also
show the plethora of anticancer drugs that specifically inhibit glutaminase isoenzymes for treating
several sets of cancer.
Cancer-on-a-chip for Drug Screening
Authors: Lee I-Chi 
Published: April 2019

:
The oncology pharmaceutical research spent a shocking amount of money on target validation and
drug optimization in preclinical models because many oncology drugs fail during clinical trial phase III. One of
the most important reasons for oncology drug failures in clinical trials may due to the poor predictive tool of
existing preclinical models. Therefore, in cancer research and personalized medicine field, it is critical to improve
the effectiveness of preclinical predictions of the drug response of patients to therapies and to reduce costly failures
in clinical trials. Three dimensional (3D) tumor models combine micro-manufacturing technologies mimic
critical physiologic parameters present in vivo, including complex multicellular architecture with multicellular
arrangement and extracellular matrix deposition, packed 3D structures with cell–cell interactions, such as tight
junctions, barriers to mass transport of drugs, nutrients and other factors, which are similar to in vivo tumor tissues.
These systems provide a solution to mimic the physiological environment for improving predictive accuracy
in oncology drug discovery.

:
his review gives an overview of the innovations, development and limitations of different types of tumor-like
construction techniques such as self-assemble spheroid formation, spheroids formation by micro-manufacturing
technologies, micro-dissected tumor tissues and tumor organoid. Combination of 3D tumor-like construction and
microfluidic techniques to achieve tumor on a chip for in vitro tumor environment modeling and drug screening
were all included. Eventually, developmental directions and technical challenges in the research field are also
discussed. We believe tumor on chip models have provided better sufficient clinical predictive power and will
bridge the gap between proof-of-concept studies and a wider implementation within the oncology drug development
for pathophysiological applications.
Causality Assessment of Adverse Drug Reaction: Controlling Confounding Induced by Polypharmacy
Authors: Dang Tran-Thai , Nguyen Thanh-Hang , Ho Tu-Bao 
Published: April 2019

Background:
Post-marketing pharmaceutical surveillance, a.k.a. pragmatic clinical trials (i.e., PCT),
plays a vital role in preventing accidents in practical treatment. The most important and difficult task in PCT is to
assess which drug causes adverse reactions (i.e., ADRs) from clinical texts. The confounding (i.e., factors cause
confusions in causality assessment) is generated by the polypharmacy (i.e., multiple drugs use), which makes
most of existing methods poor for detecting drugs that capably cause observed ADRs.

Objective:
We aim to improve the performance of detecting drug-ADR causal relations from clinical texts. To
this end, a mechanism for reducing the impact of confounding on the detecting process is needful.

Methods:
We proposed a novel model which is called the analogy-based active voting (i.e., AAV) for improving
the ability of detecting causal drug-ADR pairs, in case multiple drugs are prescribed for treating the comorbidity.
This model is inspired by the analogy principle which was proposed by Bradford Hill.

Results:
The experimental results show the improvement of recognizing causal relations between drugs and
ADRs that are confirmed by the SIDER. In addition, the proposed model is promising to detect infrequently observed
causal drug-ADR pairs when the drug is not commonly used.

Conclusion:
The proposed model demonstrates its ability for controlling the polypharmacy-induced confounding,
to improve the quality of causality assessment of ADRs. Additionally, this also shows that the analogy principle
is applicable for the assessment.
Identification of N-Substituted Triazolo-azetidines as Novel Antibacterials using pDualrep2 HTS Platform
Authors: Ivanenkov Yan A. , Yamidanov Renat S. , Osterman Ilya A. , Sergiev Petr V. , Aladinskiy Vladimir A. , Aladinskaya Anastasia V. , Terentiev Victor A. , Veselov Mark S. , Ayginin Andrey A. , Skvortsov Dmitry A. , Komarova Katerina S. , Chemeris Alexey V. , Baimiev Alexey Kh. , Sofronova Alina A. , Malyshev Alexander S. , Machulkin Alexey E. , Petrov Rostislav A. , Bezrukov Dmitry S. , Filkov Gleb I. , Puchinina Maria M. , Zainullina Liana F. , Maximova Marina A. , Zileeva Zulfiya R. , Vakhitova Yulia V. , Dontsova Olga A. 
Published: April 2019

Aim and Objective:Antibiotic resistance is a serious constraint to the development of new effective antibacterials. Therefore, the discovery of the new antibacterials remains one of the main challenges in modern medicinal chemistry. This study was undertaken to identify novel molecules with antibacterial activity.Materials and Methods:Using our unique double-reporter system, in-house large-scale HTS campaign was conducted for the identification of antibacterial potency of small-molecule compounds. The construction allows us to visually assess the underlying mechanism of action. After the initial HTS and rescreen procedure, luciferase assay, C14-test, determination of MIC value and PrestoBlue test were carried out.Results:HTS rounds and rescreen campaign have revealed the antibacterial activity of a series of Nsubstituted triazolo-azetidines and their isosteric derivatives that has not been reported previously. Primary hit-molecule demonstrated a MIC value of 12.5 µg/mL against E. coli Δ tolC with signs of translation blockage and no SOS-response. Translation inhibition (26%, luciferase assay) was achieved at high concentrations up to 160 µg/mL, while no activity was found using C14-test. The compound did not demonstrate cytotoxicity in the PrestoBlue assay against a panel of eukaryotic cells. Within a series of direct structural analogues bearing the same or bioisosteric scaffold, compound 2 was found to have an improved antibacterial potency (MIC=6.25 µg/mL) close to Erythromycin (MIC=2.5-5 µg/mL) against the same strain. In contrast to the parent hit, this compound was more active and selective, and provided a robust IP position.Conclusion:N-substituted triazolo-azetidine scaffold may be used as a versatile starting point for the development of novel active and selective antibacterial compounds.
Identification of DNA-Binding Proteins by Multiple Kernel Support Vector Machine and Sequence Information
Authors: Ding Yijie , Chen Feng , Guo Xiaoyi , Tang Jijun , Wu Hongjie 
Published: April 2019

Background:
The DNA-binding proteins is an important process in multiple biomolecular
functions. However, the tradition experimental methods for DNA-binding proteins identification are
still time consuming and extremely expensive.

Objective:
In past several years, various computational methods have been developed to detect DNAbinding
proteins. However, most of them do not integrate multiple information.

Methods:
In this study, we propose a novel computational method to predict DNA-binding proteins by
two steps Multiple Kernel Support Vector Machine (MK-SVM) and sequence information. Firstly, we
extract several feature and construct multiple kernels. Then, multiple kernels are linear combined by
Multiple Kernel Learning (MKL). At last, a final SVM model, constructed by combined kernel, is built
to predict DNA-binding proteins.

Results:
The proposed method is tested on two benchmark data sets. Compared with other existing
method, our approach is comparable, even better than other methods on some data sets.

Conclusion:
We can conclude that MK-SVM is more suitable than common SVM, as the classifier for
DNA-binding proteins identification.