bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hubungan Penggunaan Sumber Informasi Kampanye Dan Partisipasi Politik Pada Kasus Pilpres 2014 Di Kecamatan Cibinong Bogor
Authors: Martha Layung Paramesti , Saleh Amiruddin , Rangkuti Parlaungan Adil 
Published: July 2020

Indonesian presidential election campaigns had been held by the candidates and the campaign team respectively from June, 4th-July, 5th 2014. This study was aimed to know the extent of utilization of communication channels both mass media and social media (new media) as source of information, compared with interpersonal communication channel, and how the level of utilization of the information sources by voters during the political campaign influenced the level of political participation in Cibinong. This study had been conducted in September-Oktober 2014 at Sub-District of Cibinong, Bogor Regency. A number of 200 people were chosen as respondents by using purposive sampling technique. The collected data were analyzed with Spearman’s Rank correlation test. Results showed that political participation in the engagement of campaigns as well as the surveillance were poor, while the participation in voting was quite good. In the variable of demographic characteristics, a negative significant correlation was found between political affiliation and the campaign engagement and so between the birthplace and voting engagement. On the contrary, the variable of age, income, and education had no correlation with all dimensions of the campaigns engagement. All dimensions of demographic characteristics including sex, birthplace, and environment had a significant negative correlation with political participation. The indicator of sex and birthplace had a significant negative correlation with the amount of source of information use. The in dicator of birthplace also had a significant negative correlation with the frequent of accessing campaign sources of information. The utilization of campaign sources of information had a significant positive correlation with political participation in the dimension of the engagement in the campaign, voting, and surveillance for the election. Keywords: Political participation, source of information use, political campaign
Terpaan Iklan Televisi Dan Sikap Ibu Rumah Tangga Di Pedesaan Terhadap Makanan Olahan Pabrik
Authors: Dianah Amalia , Panjaitan Nurmala Katrina , Mulyani Eko Sri 
Published: July 2020

TV food advertisements are designed to cultivate positive portrait of the food advertised. Married rural women have dominant role in providing food for family and more possibility to make TV as the main source of information about food. The study aimed to examine the exposure of TV advertisements about industrial processed food on married rural women, the attitude of married rural women towards industrial processed food, and to analyse relationship between the exposure of TV advertisements and the attitude towards industrial processed food. Based on a survey conducted on 104 married rural women with children,who were TV audience and aged 20-60 in Curugbitung Village, Nanggung District, Bogor Regency, it was known that TV food advertisements exposure of respondents were moderate (56%) and high (44%), while their attitude towards industrial processed food were positive (27%) and neutral (73%). A highly significant positive correlation (r = 0.254, p < 0.01) between TV food advertisements and attitude towards industrial processed food on respondents was revealed by Spearman’s rank test. The results implicated that food TVadvertisements were not respondents’ main source of information about food. Analysis of total food TV content and interpersonal information channel of married rural women would be necessary. Keywords : attitude, exposure, processed food, rural women, TV advertisement
Extraction of Mango Juice with Pectinase Influences Quality
Authors: Adelakun O. E. , Oke M. O. , Akande E. A. , Olabode A. O. Adebiyi- 
Published: July 2020

The production of mango juice is usually characterized with high percentage of pulp which is conventionally reduced with enzymatic treatment in processing. The use of pectinase in fruit juice processing however has not been fully explored in Nigeria. Therefore, this study investigated the effect of pectinase on the yield and some quality attributes of juice produced from mango varieties. Two varieties of mango (Ogbomoso and Sherry) fruits were locally procured. Juices were produced from each of the fruits and pectinase powder or liquid was added at three different concentration levels (0.25, 0.5 and 0.75 g – powdered; 1, 2 and 4 ml - liquid) while juices without pectinase served as control. The yield, physicochemical composition and microbial analyses were carried out. Sensory evaluation was also carried out on the juice. The study showed that 0.75 g pectinase addition increases the yield of mango juice, with improved physicochemical composition and with high acceptability.
Optimized high‐fidelity 3DPCR to assess potential mitochondrial targeting by activation‐induced cytidine deaminase
Authors: Wu Haiyan , Zhang Kaili , Chen Yue , Li Jinfeng , Strout Matthew P. , Gu Xiwen 
Published: July 2020

Activation‐induced cytidine deaminase (AID) initiates somatic hypermutation and class switch recombination of immunoglobulin genes in B cells, whereas off‐targeted AID activity contributes to oncogenic mutations and chromosomal translocations associated with B cell malignancies. Paradoxically, only a minority of AID is allowed to access the nuclear genome, but the majority of AID is retained in the cytoplasm. It is unknown whether cytoplasmic AID can access and target the mitochondrial genome [mitochondrial DNA (mtDNA)]. To address this issue, we developed high‐fidelity differential DNA denaturation PCR, which allowed the enrichment of genuine mtDNA mutations and therefore the identification of endogenous mtDNA mutation signatures in vitro. With this approach, we showed that AID targeting to mtDNA is a rare event in AID‐expressing lymphoma lines. Further biochemical and microscopic analysis revealed that a fraction of cytosol AID is associated with the outer membrane of mitochondria but unable to access the mitochondrial matrix. Together, our data suggested that the mitochondrial genome is protected from AID‐mediated mutagenesis by physical segregation of AID from accessing mtDNA within the mitochondrial matrix.
Exploration of Electrochemical Reactions at Organic–Inorganic Halide Perovskite Interfaces via Machine Learning in In Situ Time‐of‐Flight Secondary Ion Mass Spectrometry
Authors: Higgins Kate , Lorenz Matthias , Ziatdinov Maxim , Vasudevan Rama K. , Ievlev Anton V. , Lukosi Eric D. , Ovchinnikova Olga S. , Kalinin Sergei V. , Ahmadi Mahshid 
Published: July 2020

AbstractThe instability of hybrid organic–inorganic perovskite (HOIP) devices is one of the significant challenges preventing commercialization. Exploring these phenomena is severely limited by the complexity of the intrinsic electrochemistry of HOIPs, the presence of multiple volatile and mobile ionic species, and the possible role of environmentally induced reactions at surfaces and triple‐phase junctions. Here, in situ studies of the electrochemistry of methylammonium lead bromide perovskite with the Au electrode interface are reported via light‐ and voltage‐dependent time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) imaging of lateral perovskite heterostructures. While ToF‐SIMS allows for the visualization of the chemical composition along the surface and its evolution with light and electrical bias, the interpretation of the multidimensional data obtained is often limited due to strong correlations between chemical signatures and the need to track multiple peaks at once. Here, a machine learning workflow combining the Hough transform and non‐negative matrix factorization and non‐negative tensor decomposition is developed to avoid this limitation and extract salient features of associated chemical changes and to separate the light‐ and voltage‐dependent dynamics. Combining these in situ characterizations and the machine learning workflow provides comprehensive information on the chemical nature of moving species, ion accumulation, and interfacial electrochemical reactions in HOIP devices.
Printed Flexible Strain Sensor Array for Bendable Interactive Surface
Authors: Li Ming , Chen Sujie , Fan Boyu , Wu Bangyuan , Guo Xiaojun 
Published: July 2020

AbstractAn interactive surface using bending gestures as the input is proposed by integrating a flexible strain sensor array and a flexible display screen. To create such a flexible strain sensor array, formation of a reliable interconnection between the elastic sensitive regions and the rigid contact regions is vital to achieve required sensitivity and durability. In this work, a new design with an added	interconnect layer on top of the interface regions is used to reduce the bending induced local stress. A stretchable conductive composite by blending carbon black (CB) with polydimethylsiloxane (PDMS) and Ecoflex (CB‐PDMS/Ecoflex) is developed for the interconnect layer. CB‐PDMS/Ecoflex is compatible with the blade coating for facile processing, and demonstrates a similar low Young's modulus as that of the sensitive region composed of silver nanowires and PDMS. Printing processes are developed to fabricate a 4 × 9 flexible strain sensor array based on the proposed design and the interconnect layer. It is shown that the sensor with CB‐PDMS/Ecoflex interconnect layer can sustain more than 3000 bending cycles. Finally, the sensor array is integrated with a flexible active‐matrix organic light‐emitting diode display to construct the bendable interactive surface, demonstrating the capability of controlling the ball movement via bending gestures.
Wavelength‐Selective Light‐Controlled Stepwise Photolysis from Single Gold Nanoparticles
Authors: Zhou Yekui , Zhang Yuanwei , Lin Wenhai , Kesseli Samuel J. , Huang Ling , Zhao Yang , Yao Xikuang , Huang Kai , Han Gang 
Published: July 2020

AbstractLight‐controlled sequential photolysis from a single nanoparticle is a challenge for controlled release. A wavelength‐selective sequential photolysis from single gold nanoparticles is reported for the first time. In particular, it is also demonstrated that such nanoparticle can be used to sequentially release two payloads in living cells. In principle, this system can be extended to sequential release of multiple different types of payloads by rational design of diverse photocleavable linkers. It is expected that this work can provide a new tool for better orderly controlling cellular events that request high spatiotemporal manners.
Deep Fluorescence Imaging by Laser‐Scanning Excitation and Artificial Neural Network Processing
Authors: Darwan Daryl , Lim Kang Rui Garrick , Wijaya Hadhi , Lim Zhi Chiaw , Wang Tian , Ang Wee Han , Tan Zhi‐Kuang 
Published: July 2020

AbstractFluorescence imaging using charge‐coupled device cameras has become the prevailing method for the investigation of cancer drug efficacy in in vivo preclinical trials involving animal models. The lack of imaging depth, however, limits the use of fluorescence techniques to small murine models, and compels large animal models to rely on more‐costly magnetic resonance imaging or positron emission tomography techniques. Here, a wide field‐of‐view fluorescence imaging technique that uses near‐infrared (NIR) laser‐scanning excitation and efficient quantum dot photoluminescence is developed to achieve deep imaging across thick animal tissues. The smaller excitation volume from the scanning laser beam minimizes undesired background fluorescence, and allows signals to be detected and resolved at large tissue depths exceeding 10 mm. By implementing an artificial neural network algorithm, a twofold enhancement in imaging resolution is further demonstrated, which paves a promising way forward for the use of machine intelligence to enhance imaging quality in highly scattering media. The superior contrast of the imaging method is further corroborated by the imaging of a human palm, where bone structures are, for the first time, distinguishable using a NIR technique. In combination, the laser‐scanning approach and the artificial neural network image‐processing can constitute a low‐cost, yet powerful methodology for performing noninvasive deep‐imaging in larger animal models or human tissues.
Recent Advances in Catalytic Asymmetric Reactions of Thiazolones, Rhodanines and Their Derivatives
Authors: Huang Anqi , Guo Xing , Li Pengfei , Li Wenjun 
Published: July 2020

AbstractSulfur‐containing skeletons are widely found in natural products, drugs and bioactive compounds. As a direct and efficient access to sulfur‐functionalized carbon stereocenters, the catalytic enantioselective reactions of sulfur‐containing prochiral carbon centers have attracted great attention in the past few years. The review summarizes the chemistry of thiazolones, rhodanines and their derivatives in the context of catalytic enantioselective construction of sulfur‐containing skeletons.magnified image
Visualizing and Analyzing 3D Metal Nanowire Networks for Stretchable Electronics
Authors: Forró Csaba , Ihle Stephan J. , Reichmuth Andreas M. , Han Hana , Stauffer Flurin , Weaver Sean , Bonnin Anne , Stampanoni Marco , Tybrandt Klas , Vörös János 
Published: July 2020

AbstractComposites based on conductive nanowires embedded in elastomers are popular in a wide range of stretchable electronics applications where the requirements are either a stable or a highly increasing electrical resistance upon strain. Despite the widespread use of such composites, their production is not based in solid theoretical grounds but rather in empirical observations. The lack of such a framework is due to limitations in the methods for studying nanowire meshes, in particular the lack of knowledge on the spatial distribution of the nanowires and the change of their position under strain. This hurdle is overcome by collecting 3D reconstructed X‐ray tomographies of silver nanowires embedded in polydimethylsiloxane (PDMS) under variable deformations and the missing structural information of the nanomaterial is obtained by unsupervised artificial intelligence image analysis. This allowed to reveal the precise assembly mechanisms of nanowire systems and derive a precise analytical formula for the piezoresistive response of the composite and finally to simulate the behavior of arbitrary samples in‐silico.
Tailoring microenvironment of adsorbents to achieve excellent CO2 uptakes from wet gases
Authors: Jin Meng‐Meng , Li Yu‐Xia , Gu Chen , Liu Xiao‐Qin , Sun Lin‐Bing 
Published: July 2020

AbstractDue to the excellent adsorption capacity on CO2, Mg‐MOF‐74 is highly potential for carbon capture. However, the practical application is seriously hindered by the poor hydrolytic stability of Mg‐MOF‐74 even towards trace of moisture. Here we report a strategy by adjusting the microenvironment of Mg‐MOF‐74 from hydrophilic to superhydrophobic by coating polydimethylsiloxane (PDS, yielding M74@P), which markedly enhances the hydrolytic stability. Mg‐MOF‐74 is degraded obviously upon exposure to humid atmosphere (75% relative humidity) for 7 days, while M74@P retains its structure well even after 1 year. The dynamic breakthrough results show that the optimized M74@P sample can capture 6.65 mmol g−1 CO2 from wet CO2/N2 mixtures after 100 cycles, which is superior to Mg‐MOF‐74 (1.17 mmol g−1) and most reported adsorbents under comparable conditions (continuous flow adsorption from wet gases). The excellent adsorption capacity and hydrolytic stability make the present adsorbents highly promising for practical applications in carbon capture.
Melt spinning and characterization of hollow fibers from poly(4‐methyl‐1‐pentene)
Authors: Pelzer Martin , Vad Thomas , Becker Amrei , Gries Thomas , Markova Svetlana , Teplyakov Vladimir 
Published: July 2020

AbstractIn this article, the melt spinning behavior of poly(4‐methyl‐1‐pentene) (PMP) hollow fibers (HF) is examined. The melt spinning trials are carried out on a pilot scale melt spinning plant with different settings while a 10‐hole 2c‐shaped spinneret is used. It is found that the winding speed mainly affects the outer fiber diameter. The influence of different melt spinning parameters is investigated, in particular temperatures, take‐up velocities, and the use of quench air. For this purpose, the shape and crystalline structure of the fibers are analyzed using a light microscope, a scanning electron microscope, and wide‐angle X‐ray scattering. The shape of the fibers is mainly influenced by the temperature settings in the melt spinning process. As a reasonable lower limit, a melt spinning temperature of 280°C is identified. Concerning the crystallinity, a saturation going along with a slight reduction of the polymer chain orientation is observed at elevated take‐up velocities.
Influence of the Electrolyte Salt Concentration on the Rate Capability of Ultra‐Thick NCM 622 Electrodes
Authors: Kremer Lea Sophie , Danner Timo , Hein Simon , Hoffmann Alice , Prifling Benedikt , Schmidt Volker , Latz Arnulf , Wohlfahrt‐Mehrens Margret 
Published: July 2020

AbstractIn traditional Li‐ion batteries, the electrolyte consists of a Li‐conducting salt dissolved in organic solvents at a concentration of
1 mol L−1 (1 M). In this work, we use increased LiPF6 concentrations between 1 and 2.3 M to investigate the influence of the electrolyte salt concentration on the rate capability of ultra‐thick (49.5 mg cm−2) and thin (5.6 mg cm−2) NCM 622 electrodes, respectively. At higher electrolyte salt concentrations than 1 M, thin electrodes suffer from increased polarization, due to a higher viscosity and a reduced ionic conductivity. In contrast, by raising the salt concentration from 1 to 1.9 M the discharge capacity of ultra‐thick electrodes is increased by more than 50 % for current densities above 3 mA cm−2, which significantly improves their rate capability. 3D microstructure resolved simulations revealed that this effect results from the mitigation of Li‐ion depletion in the electrolyte filled pore space of ultra‐thick electrodes.
Time course of pupillary response to threat words before and after attention bias modification for transdiagnostic anxiety disorders: A randomized controlled trial
Authors: Woody Mary L. , Vaughn‐Coaxum Rachel A. , Siegle Greg J. , Price Rebecca B. 
Published: July 2020

AbstractIntroductionAltered attention to threatening stimuli at initial and sustained stages of processing may be dissociable dimensions that influence the development and maintenance of transdiagnostic symptoms of anxiety, such as vigilance, and possibly require distinct intervention. Attention bias modification (ABM) interventions were created to implicitly train attention away from threatening stimuli and have shown efficacy in treating anxiety. ABM alters neurocognitive functioning during initial stages of threat processing, but less is known regarding effects of ABM on neural indices of threat processing at sustained (i.e., intermediate and late) stages, or if ABM‐related neural changes relate to symptom response. The current study utilized pupillary response as a temporally sensitive and cost‐effective peripheral marker of neurocognitive response to ABM.Materials and MethodsIn a randomized controlled trial, 79 patients with transdiagnostic anxiety provided baseline data, 70 were randomized to receive eight sessions of twice‐weekly ABM (n = 49) or sham training (n = 21), and 65 completed their assigned treatment condition and returned for post‐training assessment.ResultsAmong ABM, but not sham, patients, pupillary response to threat words during initial and intermediate stages decreased from pre‐ to post‐training. Pre‐ to post‐training reductions in intermediate and late pupillary response to threat were positively correlated with reductions in patient‐reported vigilance among ABM, but not sham, patients.ConclusionsAll measured stages of threat processing had relevance in understanding the neural mechanisms of ABM, with overlapping yet dissociable roles exhibited within a single neurophysiological marker across an initial–intermediate–late time continuum. Pupillometry may be well suited to measure both target engagement and treatment outcome following ABM.
Transcatheter versus surgical aortic valve replacement in patients with end stage renal disease
Authors: Khan Muhammad Zia , Khan Muhammad U. , Kalra Ankur , Krupica Troy , Kaluski Edo , Khan Safi U. 
Published: July 2020

AbstractObjectiveTo assess contemporary national trends of comorbidities, outcomes, and health care resource utilization in patients with aortic stenosis (AS) and end‐stage renal disease (ESRD) undergoing transcatheter and surgical aortic valve replacement (TAVR and SAVR).Methods and ResultsThe National‐Inpatient‐Sample was used to study trends in patients with AS and ESRD undergoing TAVR and SAVR between January 2012 and December 2017. Of 12,550 patients, 5,735 underwent TAVR and 6,815 underwent SAVR. Over the years, the utilization of SAVR declined (from 82.0 to 37.7%); and increased for TAVR (from 18.0 to 62.3%; p < .001). Patients receiving TAVR were older (74.6 [9.1] vs. 66.8 years [9.1]), had a higher proportion of females (37.1 vs. 32.5%), Caucasians (68.7 vs. 60.9%) and Asian /Pacific Islanders (3.1 vs. 2.7%; p < .001 for all). The TAVR patients, despite having higher comorbidity burden (anemia, coronary artery disease, chronic pulmonary disease, congestive heart failure, cerebrovascular disease, and peripheral vascular disease) had lower inpatient mortality and complications (ST‐elevation myocardial infarction, pneumonia, pneumothorax, pulmonary embolism, cardiogenic shock, cardiac arrest, and need for mechanical ventilators and vasopressors). The median length of stay (13.9–6.5 days; p < .001) and cost of stay ($311,538.16 to $255,693.40; p < .001) reduced with TAVR; but remained unchanged with SAVR. Higher proportion of patients was discharged home after TAVR vs. SAVR.ConclusionAmong patients with AS and ESRD, despite providing therapy to subjects with higher comorbidity burden, TAVR was associated with lower inpatient mortality, complications, length of stay, cost of care, and higher home disposition rates when compared with SAVR.
Polymer Blends of Pectin/Poly(acrylic acid) as Efficient Binders for Silicon Anodes in Lithium‐Ion Batteries
Authors: Wang Jian‐Tang , Wan Chih‐Chieh , Hong Jin‐Long 
Published: July 2020

AbstractPolymeric binders have frequently been applied as an important component of Si‐based anodes in lithium‐ion batteries, because they can efficiently restrict the large volume change of Si nanoparticles (Si NPs) during charging/discharging cycles. Therefore, we developed a novel pectin/poly(acrylic acid) (PECAA/PAA) blend binder with reversible elasticity to sustain the volume change of Si NPs. Through the study on pure PAA and PEC/PAA(x) (x: weight fraction of PEC), a subtle balance between mechanical properties and density of interacting groups was found to be important in controlling the binding and electrochemical performances of the Si anodes. The PAA‐based Si anode is inferior in terms of the performance, but the addition of PEC resulted in the PEC/PAA(10) anode with an excellent binding and electrochemical performance. The PEC/PAA(10) anode exhibited a high capacity of 2386 mAh g−1 after 100 cycles, significantly higher than 1508 mAh g−1 from the PAA anode. However, a further increase of PEC content adversely reduced the electrochemical performance of the PEC/PAA(20) and (30) anodes, owing to the decrease in the interacting COOH groups. Optimal composition adjustment is, therefore, of crucial importance in achieving a polymer blend binder with enhanced binding and electrochemical performances.