bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH BAURAN PEMASARAN TERHADAP KEPUTUSAN PEMBELIAN DI INDOGROSIR CIBINONG
Authors: Osta Nababan Benny , . Ramadhan 
Published: November 2020

Penelitian ini bertujuan untuk mengetahui pengaruh bauran pemasaran meliputi terhadap keputusan pembelian di Indogrosir Cibinong. Hasil analisis data menunjukkan bahwa produk, harga dan lokasi berpengaruh signifikan terhadap keputusan pembelian sedangkan promosi tidak berpengaruh signifikan terhadap keputusan pembelian. Bauran pemasaran yang terdiri dari produk, harga, promosi dan keputusan pembelian secara bersama-sama berpengaruh terhadap keputusan pembelian. Koefisien determinasi ( sebesar 0,351 dapat diartikan bahwa 35,1% keputusan pembelian di Indogrosir Cibinong dipengaruhi oleh variabel produk, harga, promosi, dan lokasi, sedangkan sisanya sebesar 64,9% dipengaruhi oleh variabel lain diluar penelitian. Saran yang dapat diberikan dalam penelitian ini yaitu : (1) Indogrosir Cibinong hendaknya memperhatikan faktor produk dengan cara memperhatikan produk yang tidak mendekati kadaluarsa, produk berkualitas baik, kemasan menarik, dan tidak berdebu serta rapi; (2) Faktor harga dengan cara memberikan harga yang terjangkau, harga sesuai dengan kualitas produk, harga yang tertera sesuai dengan harga yang harus di bayar, harga yang ditawarkan kompetitif dan relatif murah, serta harga sesuai dengan manfaat produk; (3) Faktor lokasi dengan cara memperhatikan penataan parkir, area parkir kendaraan roda dua atau empat cukup memadai, lokasi Indogrosir mudah dijangkau oleh transportasi umum, serta penempatan lokasi Indogrosir yang strategis.
ANALISIS TINGKAT KESEHATAN BANK PADA PT BANK MUAMALAT INDONESIA, Tbk DENGAN MENGGUNAKAN METODE RGEC (RISK PROFILE, GOOD CORPORATE GOVERNANCE, EARNING & CAPITAL) PERIODE 2013 - 2017
Authors: Zakaria Hamzah Zeze , Anggraini Dewi 
Published: November 2020

Penelitian ini bertujuan untuk mengetahui tingkat kesehatan Bank Muamalat tahun 2013-2017 ditinjau dari aspek Risk Profile, Good Corporate Governance, Earning & Capital. Teknik analisis data yang digunakan adalah analisis tingkat kesehatan bank. Hasil penelitian menunjukkan bahwa selama tahun 2013-2017: (1) Aspek Risk Profile pada NPF tahun 2013 dalam predikat sangat sehat, tahun 2014-2015 dalam predikat cukup sehat, tahun 2016-2017 dalam predikat sehat. FDR pada tahun 2013, 2014, 2015, 2016 dan 2017 berturut-turut dalam predikat cukup sehat, sehat, cukup sehat, cukup sehat dan sehat. (2) Aspek GCG selama tahun 2013–2017 mendapat peringkat 1 dalam kondisi sangat baik, peringkat 3 cukup baik, peringkat 3 cukup baik, peringkat 2 baik dan peringkat 3 cukup baik. (3) Aspek Earning pada indikator ROA tahun 2013 dalam kondisi sehat, tahun 2014-2017 dalam kondisi kurang sehat. ROE pada tahun 2013 dalam kondisi cukup sehat, tahun 2014-2017 dalam kondisi kurang sehat dan BOPO pada tahun 2013 dalam kondisi cukup sehat, tahun 2014-2017 dalam kondisi tidak sehat (4) Aspek Capital dengan nilai CAR tahun 2013-2017 dalam kondisi sangat sehat. (5) Aspek RGEC secara keseluruhan dalam kondisi kurang sehat dengan peringkat komposit 4.
PENGARUH PENGELOLAAN MODAL KERJA TERHADAP TINGKAT PROFITABILITAS (ROA) PADA PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR DI BEI PERIODE TAHUN 2013-2017
Authors: Zakaria Hamzah Zeze , Ayu Anggitya Rahma Dian 
Published: November 2020

Tujuan dari penelitian ini adalah untuk menguji pengaruh pengelolaan modal kerja terhadap tingkat profitabilitas pada perusahaan makanan dan minuman yang terdaftar di BEI periode tahun 2013-2017. Jenis data yang digunakan dalam penelitian adalah kuantitatif kausalitas. Sampel data diambil menggunakan metode purposive sampling. Hasil penelitian ini menunjukan bahwa variabel modal kerja yang terdiri dari rasio lancar, perputaran piutang, perputaran persediaan dan perputaran modal kerja secara simultan (bersama-sama) berpengaruh secara signifikan terhadap tingkat profitabilitas (ROA). Secara parsial rasio lancar berpengaruh terhadap (ROA) dengan nilai sig sebesar 0.045 < 0,05 dan nilai t hitung 2,097 > 2,042 dan perputaran piutang berpengaruh terhadap (ROA) dengan nilai sig sebesar 0.013 < 0,05 dan nilai t hitung 2,634> 2,042. Perputaran persedian dan perputaran modal kerja tidak berpengaruh terhadap profitabilitas (ROA). Kemudian dari hasil Standardized Coefficients Beta menunjukan bahwa variabel paling dominan adalah rasio lancar dengan nilai sebesar 0,468. Dari hasil regresi dalam penelitian ini pengaruh dari keempat variabel bebas adalah sebesar 32,7% sedangkan sisanya 67,3% dipengaruhi oleh faktor lain diluar penelitian ini.
Pengaruh Kompetensi dan Pengembangan Karir terhadap Kinerja Karyawan pada PT. Berkah Cemerlang di Jakarta
Authors: Sunarsi Denok , Rizka Akbar Irfan , Prasada Dodi , Kristianti Lily Setyawati , Muliani Henita Sri , Anjayani Nidya Sri , Hendra Hendra 
Published: November 2020

Penelitian ini bertujuan untuk mengetahui pengaruh kompetensi dan pengembangan karir terhadap kinerja karyawan pada PT. Berkah Cemerlang di Jakarta. Metode yang digunakan adalah explanatory research dengan teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini kompetensi berpengaruh signifikan terhadap kinerja karyawan sebesar 53,7%, uji hipotesis diperoleh t hitung > t tabel atau (7,616 > 2,009). Pengembangan karir berpengaruh signifikan terhadap kinerja karyawan sebesar 45,1%, uji hipotesis diperoleh t hitung > t tabel atau (6,408 > 2,009). Kompetensi dan pengembangan karir secara simultan berpengaruh signifikan terhadap kinerja karyawan dengan persamaan regresi Y = 7,939 + 0,417X1 + 0,390X2 dan kontribusi pengaruh sebesar 63,4%, uji hipotesis diperoleh F hitung > F tabel atau (42,449 > 2,790).
Spatial Temperature Profile in a Magnetised Capacitively Coupled Discharge
Authors: BINWAL Shikha , JOSHI Jay K , KARKARI Shantanu Kumar , KAW Predhiman Krishan , NAIR Lekha , LEGGATE Huw , SOMERS Aoife , TURNER Miles M 
Published: November 2020

A floating emissive probe has been used to obtain the spatial electron temperature (Te) profile in a 13.56 MHz parallel plate capacitive coupled plasma. The effect of an external transverse magnetic field and pressure on the electron temperature profile has been discussed. In the un-magnetised case, the bulk region of the plasma has a uniform Te. Upon application of the magnetic field, the Te profile becomes non-uniform and skewed. With increase in pressure, there is an overall reduction in electron temperature. The regions adjacent to the electrodes witnessed a higher temperature than the bulk for both cases. The emissive probe results have also been compared with particle-in-cell simulation results for the un-magnetised case.
An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets
Authors: Iturbide Maialen , Gutiérrez José M. , Alves Lincoln M. , Bedia Joaquín , Cerezo-Mota Ruth , Cimadevilla Ezequiel , Cofiño Antonio S. , Di Luca Alejandro , Faria Sergio Henrique , Gorodetskaya Irina V. , Hauser Mathias , Herrera Sixto , Hennessy Kevin , Hewitt Helene T. , Jones Richard G. , Krakovska Svitlana , Manzanas Rodrigo , Martínez-Castro Daniel , Narisma Gemma T. , Nurhati Intan S. , Pinto Izidine , Seneviratne Sonia I. , van den Hurk Bart , Vera Carolina S. 
Published: November 2020

Abstract. Several sets of reference regions have been used in the literature
for the regional synthesis of observed and modelled climate and climate
change information. A popular example is the series of reference regions
used in the Intergovernmental Panel on Climate Change (IPCC) Special Report
on Managing the Risks of Extreme Events and Disasters to Advance Climate
Adaptation (SREX). The SREX regions were slightly modified for the Fifth Assessment Report of the IPCC and used for reporting subcontinental
observed and projected changes over a reduced number (33) of
climatologically consistent regions encompassing a representative number of
grid boxes. These regions are intended to allow analysis of atmospheric data
over broad land or ocean regions and have been used as the basis for several
popular spatially aggregated datasets, such as the Seasonal Mean Temperature
and Precipitation in IPCC Regions for CMIP5 dataset. We present an updated version of the reference regions for the analysis of
new observed and simulated datasets (including CMIP6) which offer an
opportunity for refinement due to the higher atmospheric model resolution.
As a result, the number of land and ocean regions is increased to 46 and 15,
respectively, better representing consistent regional climate features. The
paper describes the rationale for the definition of the new regions and
analyses their homogeneity. The regions are defined as polygons and are
provided as coordinates and a shapefile together with companion R and Python
notebooks to illustrate their use in practical problems (e.g. calculating
regional averages). We also describe the generation of a new dataset with
monthly temperature and precipitation, spatially aggregated in the new
regions, currently for CMIP5 and CMIP6, to be extended to other datasets in
the future (including observations). The use of these reference regions,
dataset and code is illustrated through a worked example using scatter plots
to offer guidance on the likely range of future climate change at the scale
of the reference regions. The regions, datasets and code (R and Python
notebooks) are freely available at the ATLAS GitHub repository:
https://github.com/SantanderMetGroup/ATLAS (last access: 24 August 2020),
https://doi.org/10.5281/zenodo.3998463 (Iturbide et al., 2020).
Soft Electronics Based on Stretchable and Conductive Nanocomposites for Biomedical Applications
Authors: Llerena Zambrano Byron , Renz Aline F. , Ruff Tobias , Lienemann Samuel , Tybrandt Klas , Vörös János , Lee Jaehong 
Published: November 2020

AbstractResearch on the field of implantable electronic devices that can be directly applied in the body with various functionalities is increasingly intensifying due to its great potential for various therapeutic applications. While conventional implantable electronics generally include rigid and hard conductive materials, their surrounding biological objects are soft and dynamic. The mechanical mismatch between implanted devices and biological environments induces damages in the body especially for long‐term applications. Stretchable electronics with outstanding mechanical compliance with biological objects effectively improve such limitations of existing rigid implantable electronics. In this article, the recent progress of implantable soft electronics based on various conductive nanocomposites is systematically described. In particular, representative fabrication approaches of conductive and stretchable nanocomposites for implantable soft electronics and various in vivo applications of implantable soft electronics are focused on. To conclude, challenges and perspectives of current implantable soft electronics that should be considered for further advances are discussed.
Enhancement of Anticancer Efficacy and Tumor Penetration of Sorafenib by Ionic Liquids
Authors: Shi Yujie , Zhao Zongmin , Peng Kevin , Gao Yongsheng , Wu Debra , Kim Jayoung , Mitragotri Samir 
Published: November 2020

AbstractIonic liquids (ILs) possess unique solvation and biological properties for drug delivery. Choline and geranic acid (CAGE) in particular, has been successfully formulated to orally deliver insulin and hydrophobic therapeutics such as sorafenib (SRF). However, relatively little is known about the effect of CAGE on intracellular delivery of drugs. Here the effect of low‐concentration CAGE (<2 mg mL−1) on the delivery of SRF into cancer cells (4T1, PANC‐1, and HT29) as well as intestine epithelium cells (Caco‐2) is studied. The anti‐cancer effect of SRF is enhanced by up to fivefold in the presence of CAGE (0.5 mg mL−1). The effect is mediated not by enhancing the cellular uptake of SRF but by improving intracellular SRF retention by inhibiting exocytosis. Moreover, CAGE improves the anti‐tumor effect of SRF by increasing apoptosis and blocking cell‐cycle progression. Moreover, CAGE significantly enhances the penetration of SRF into and across multicellular constructs with multiple mechanisms involved. Collectively, the administration of ILs such as CAGE combined with SRF may offer a novel therapy to better inhibit tumor progression.
Machine Learning Predictions of Block Copolymer Self‐Assembly
Authors: Tu Kun‐Hua , Huang Hejin , Lee Sangho , Lee Wonmoo , Sun Zehao , Alexander‐Katz Alfredo , Ross Caroline A. 
Published: November 2020

AbstractDirected self‐assembly of block copolymers is a key enabler for nanofabrication of devices with sub‐10 nm feature sizes, allowing patterning far below the resolution limit of conventional photolithography. Among all the process steps involved in block copolymer self‐assembly, solvent annealing plays a dominant role in determining the film morphology and pattern quality, yet the interplay of the multiple parameters during solvent annealing, including the initial thickness, swelling, time, and solvent ratio, makes it difficult to predict and control the resultant self‐assembled pattern. Here, machine learning tools are applied to analyze the solvent annealing process and predict the effect of process parameters on morphology and defectivity. Two neural networks are constructed and trained, yielding accurate prediction of the final morphology in agreement with experimental data. A ridge regression model is constructed to identify the critical parameters that determine the quality of line/space patterns. These results illustrate the potential of machine learning to inform nanomanufacturing processes.
Effects of External Stimulators on Engineered Skeletal Muscle Tissue Maturation
Authors: Mueller Claudia , Trujillo‐Miranda Mairon , Maier Michael , Heath Daniel E. , O'Connor Andrea J. , Salehi Sahar 
Published: November 2020

AbstractEngineering functional skeletal muscle tissue is an ongoing challenge because of the complexity of the in vivo microenvironment and the various factors that contribute to the development and maintenance of the native tissue. However, the growing understanding of the natural skeletal muscle's microenvironment in vivo, as well as the ability to successfully reproduce these factors in vitro, are contributing to the formation of engineered skeletal muscle tissues (SMTs) with greater biomimetic structure and function. This review first summarizes the structure of skeletal muscle tissue. The role of various hydrogels, biomaterials, and scaffolds as building blocks of complex skeletal muscle structures is then explored. Additionally, the role of external stimuli and regulators that can be applied during in vitro culture that lead to the formation of SMT models with higher functionality is examined. These include various physical, biochemical, electrical, mechanical, and magnetic stimulations, as well as biological stimulation through coculture with fibroblasts, endothelial, or neuronal cells. Finally, examples of recently developed functional tissue models that have been developed for in vitro and in vivo applications and the future outlook for this field are discussed.
Widely Tunable Optical Vortex Array Generator Based on Grid Patterned Liquid Crystal Cell
Authors: Lee Doyeon , Lee Heesu , Migara L. K. , Kwak Keumcheol , Panov Vitaly P. , Song Jang‐Kun 
Published: November 2020

AbstractSince optical vortex (OV) beams possess an additional degree of freedom, orbital angular momentum, the beams can be utilized to enhance signal modulation in optical communication technologies by mode division multiplexing and information encoding. In particular, tunable OV devices with wavelength adjustment and channel switching generate wide interest among researchers. This paper demonstrates tunable OV generator based on a grid‐patterned liquid crystal (GPLC) cell. The device, which is capable of producing an array of OV beams, offers an electrically controllable conversion between scalar vortices and vector vortices and controllable optical vortex density. In addition, the GPLC device is tunable to optimize its performance over a broad range of wavelengths.
Inorganic Nanomaterials for Photothermal‐Based Cancer Theranostics
Authors: Wen Huang , Tamarov Konstantin , Happonen Emilia , Lehto Vesa‐Pekka , Xu Wujun 
Published: November 2020

AbstractInorganic photothermal agents (PTAs) have attracted considerable attention in cancer theranostics due to their unique features such as high photothermal conversion efficacy, excellent photothermal stability, and straightforward functionalization. The first part of this Review summarizes progress in methods for synthesizing PTAs, then considers in vitro photothermal evaluations, as well as in vivo photothermal‐based applications that attempt to overcome different barriers in cancer theranostics. Next, a clinical trial with an inorganic PTA is described. The final part of the Review examines the challenges and possibilities for successful transfer of inorganic PTAs from the laboratory to the clinic.
Influence of soybean management decisions on the subsequent rice crop's response to nitrogen
Authors: Ortel Carrie C. , Roberts Trenton L. , Hoegenauer Kyle A. , Hardke Jarrod T. 
Published: November 2020

AbstractLittle is known about the effects of soybean [Glycine max (L.) Merr.] management practices on the success of the subsequent rice (Oryza sativa L.) crop. A study was initiated to determine how rice was affected by the preceding soybean crop's maturity group (MG) and planting date when grown in rotation on silt loam and clay soils. Optimum and late soybean planting dates and MGs (3.5, 4.7, 5.4, and 5.6) were followed by a rice crop. The results differed by soil texture, with the planting date and MG selection of the previous soybean crop more influential to the rice crop produced on a silt loam soil than a clay soil. Rice grown on a clay soil produced a higher grain yield when following a 5.4 MG soybean, whereas the planting date of a previous soybean crop influenced the soil‐N credits measured at rice emergence. On a silt loam soil, the interaction of both planting date and MG of the previous soybean crop influenced the maximal grain yield achieved by the rice crop. When soybean is planted during an optimum planting date, soybean MG has little effect on the successive rice crop. However, when the soybean crop is planted late, a determinate MG should be selected to achieve the highest rice crop total N uptake, maximal grain yield, and reduce the rate of fertilizer‐N needed to achieve 95% relative grain yield. Management techniques should be considered when implementing a soybean–rice rotation to maximize rice grain yield and overall farm profitability.
Dimer Organization of Membrane‐Associated NS5A of Hepatitis C Virus as Determined by Highly Sensitive 1H‐Detected Solid‐State NMR
Authors: Jirasko Vlastimil , Lends Alons , Lakomek Nils‐Alexander , Fogeron Marie‐Laure , Weber Marco E. , Malär Alexander A. , Penzel Susanne , Bartenschlager Ralf , Meier Beat H. , Böckmann Anja 
Published: November 2020

AbstractThe Hepatitis C virus nonstructural protein 5A (NS5A) is a membrane‐associated protein involved in multiple steps of the viral life cycle. Direct‐acting antivirals (DAAs) targeting NS5A are a cornerstone of antiviral therapy, but the mode‐of‐action of these drugs is poorly understood. This is due to the lack of information on the membrane‐bound NS5A structure. Herein, we present the structural model of an NS5A AH‐linker‐D1 protein reconstituted as proteoliposomes. We use highly sensitive proton‐detected solid‐state NMR methods suitable to study samples generated through synthetic biology approaches. Spectra analyses disclose that both the AH membrane anchor and the linker are highly flexible. Paramagnetic relaxation enhancements (PRE) reveal that the dimer organization in lipids requires a new type of NS5A self‐interaction not reflected in previous crystal structures. In conclusion, we provide the first characterization of NS5A AH‐linker‐D1 in a lipidic environment shedding light onto the mode‐of‐action of clinically used NS5A inhibitors.
Asymmetric Total Synthesis of Dankasterones A and B and Periconiastone A Through Radical Cyclization
Authors: Chen Pengquan , Wang Cheng , Yang Rui , Xu Hongjin , Wu Jinghua , Jiang Huanfeng , Chen Kai , Ma Zhiqiang 
Published: November 2020

AbstractWe describe herein the assembly of the cis‐decalin framework through radical cyclization initiated by metal‐catalyzed hydrogen atom transfer (MHAT), further applied it in the asymmetric synthesis of dankasterones A and B and periconiastone A. Position‐selective C−H oxygenation allowed for installation of the necessary functionality. A radical rearrangement was adopted to create 13(14→8)abeo‐8‐ergostane skeleton. Interconversion of dankasterone B and periconiastone A was realized through biomimetic intramolecular aldol and retro‐aldol reactions. The MHAT‐based approach, serves as a new dissection means, is complementary to the conventional ways to establish cis‐decalin framework.
α‐Cyclodextrin Encapsulation of Bicyclo[1.1.1]pentane Derivatives: A Storable Feedstock for Preparation of [1.1.1]Propellane
Authors: Matsunaga Tadafumi , Kanazawa Junichiro , Ichikawa Tomohiro , Harada Mei , Nishiyama Yusuke , Duong Nghia Tuan , Matsumoto Takashi , Miyamoto Kazunori , Uchiyama Masanobu 
Published: November 2020

AbstractThe bicyclo[1.1.1]pentane (BCP) scaffold is useful in medicinal chemistry, and many protocols are available for synthesizing BCP derivatives from [1.1.1]propellane. Here, we report (1) the α‐cyclodextrin (α‐CD) encapsulation of BCP derivatives, affording a stable, readily storable material from which BCPs can be easily and quantitatively recovered and (2) new and simple protocols for deiodination reaction of 1,3‐diiodo BCP to afford [1.1.1]propellane in protic/aprotic/polar/non‐polar solvents. The combination of these methodologies enables simple, on‐demand preparation of [1.1.1]propellane in various solvents under mild conditions from α‐CD capsules containing 1,3‐diiodo BCP.
Monitoring of whitening agent for skin analysis using tyrosinase gold nanoparticle‐based colorimetric assay
Authors: Siddiqui Mohd Farhan , Jeon Sojeong , Kim Moon‐Moo 
Published: November 2020

AbstractArbutin is a potential depigmenting agent that reduces melanin production by inhibiting tyrosinase activity and predicts the risk of whitening of the skin. Despite wide acceptance in routine laboratory tests, the conventional methods for whitening agent analysis have been of limited use because of high cost and lower signal sensitivity. Gold nanoparticles have gained considerable interest in improving the sensitivity and signals for the detection of proteins. Inspiring from these strategies, we have designed a tyrosinase enzyme gold nanoparticles (tyrosinase–AuNPs) method for the evaluation of arbutin with improved signals. The developed assay has been tested for tyrosine spiked samples to derive the standard graph. And then the performance of the assay is validated by testing arbutin on inhibiting tyrosinase activity. A detection limit of 13.70 μM with R2 of 0.982 is confirmed. Compared with the conventional method, the proposed assay represented the improved sensitivity, and signals are enhanced by five times that can be easily visualized through the naked eyes. Moreover, our method is beneficial because of the low cost and avoiding the need for expensive instruments. We believe that this method for arbutin evaluation will provide a foundation for the screening of other whitening agents, paving the way for future advances in the field of cosmetics.