bluuebunny/crossref_metadata_2025_split huggingface dataset:
Marangoni spreading and contracting three-component droplets on completely wetting surfaces
Authors: Baumgartner Dieter A. , Shiri Samira , Sinha Shayandev , Karpitschka Stefan , Cira Nate J. 
Published: May 2022

Significance
The shape and dynamics of small sessile droplets are dictated by capillary forces. For liquid mixtures, evaporation adds spatio-temporal modulation to these forces that can either enhance or inhibit droplet spreading, depending on the direction of the resulting Marangoni flow. This work experimentally and numerically demonstrates the coexistence of two antagonistic Marangoni flows in a ternary mixture. Played against each other, they can choreograph a boomerang-like wetting motion: Droplets initially rapidly spread, then contract into a compact cap shape. While such a behavior has been impossible in wetting scenarios of simple liquids, it enables spread–retract–remove surface processing with the addition of a single small liquid volume, demonstrated here in a surface-cleaning experiment.
Mobilization of innate and adaptive antitumor immune responses by the RNP-targeting antibody ATRC-101
Authors: Scholz Alexander , DeFalco Jeff , Leung Yvonne , Aydin Iraz T. , Czupalla Cathrin J. , Cao Wei , Santos Daniel , Vad Nikhil , Lippow Shaun M. , Baia Gilson , Harbell Michael , Sapugay Judevin , Zhang Danhui , Wu Dai-Chen , Wechsler Erin , Ye Anne Z. , Wu Jenny W. , Peng Xiao , Vivian John , Kaplan Hargita , Collins Rodney , Nguyen Ngan , Whidden Mark , Kim Dongkyoon , Millward Carl , Benjamin Jonathan , Greenberg Norman M. , Serafini Tito A. , Emerling Daniel E. , Steinman Lawrence , Robinson William H. , Manning-Bog Amy 
Published: May 2022

Significance
A target-agnostic approach that harnesses the human antitumor immune response to find potential anticancer lead antibodies and their targets was used to generate ATRC-101, an engineered version of a tumor-targeting antibody identified from a patient with non-small cell lung cancer experiencing an ongoing antitumor immune response. ATRC-101 is an antibody that targets an extracellular, tumor-specific ribonucleoprotein complex. Here, we describe the extracellular binding of this complex and antitumor activity of ATRC-101 in murine models. Preclinical data suggest a mechanism of action in which ATRC-101 activates myeloid cells of the innate immune system, leading to an adaptive immune response that yields its antitumor activity. These data have led to an ongoing phase 1 trial in patients with advanced solid tumors.
Transcriptome profiling in swine macrophages infected with African swine fever virus at single-cell resolution
Authors: Zheng Yuxuan , Li Su , Li Shi-Hua , Yu Shaoxiong , Wang Qihui , Zhang Kehui , Qu Liang , Sun Yuan , Bi Yuhai , Tang Fuchou , Qiu Hua-Ji , Gao George F. 
Published: May 2022

SignificanceAfrican swine fever virus (ASFV) causes a severe and highly contagious disease in pigs and wild boars, but no commercial vaccines or antivirals are available currently. Understanding the mutual antagonism between virus and host factors during ASFV infection may facilitate the development of new vaccines and antivirals. Our work profiled transcriptomes of swine macrophages infected with ASFV through single-cell RNA-sequencing technology. Identified dynamic transcriptome events of viral genes provide molecular characteristics of ASFV during infection. Moreover, virus–host interactions imply the regulation pathway of viral replication in host cells, which may guide research on antiviral strategies and dissection of ASFV pathogenesis.
Updated soil to fruit concentration ratios for radiocaesium compiled under the IAEA MODARIA II Programme
Authors: Doering C , Carini F , Sato M , Howard BJ , Harbottle AR , Brown J , Twining J , Velasco H 
Published: May 2022

Abstract
Under the International Atomic Energy Agency (IAEA) Modelling and Data for Radiological Impact Assessments (MODARIA II) Programme, Working Group 4 activities included collating radionuclide transfer data from Japan following the Fukushima Daiichi Nuclear Power Plant accident and separately collating concentration ratio (CR) data for root uptake of radionuclides by crops grown in tropical and arid climates. In this paper, the newly compiled radiocaesium CR data for fruit from Japan, tropical and arid climates have been combined with the data originally compiled for the IAEA Technical Reports Series No. 472 (TRS 472) and additional data identified from the literature to produce an enhanced MODARIA II dataset of fruit radiocaesium CR values. Statistical analysis of the MODARIA II dataset by climate class (based on the Köppen–Geiger climate classification) indicated that the CR values for tropical climates were significantly higher (p < 0.05) than those for arid, temperate and cold climates. Statistical analysis of the MODARIA II dataset by soil group (based on soil texture) indicated that the CR values for coral sand soil (tropical climates only) and organic soil (temperate climates only) were significantly higher (p < 0.05) than those for the clay, loam and sand soil groups. Statistical analysis of the MODARIA II dataset by plant group (based on plant morphology) indicated that the CR values for non-woody trees (tropical climate bias) were significantly higher (p < 0.05) than those for herbaceous plants, shrubs and woody trees. Comparison of the MODARIA II dataset with original TRS 472 values showed only small changes in the fruit radiocaesium CR values for herbaceous plants and shrubs in temperate climates. There was a decrease in the CR values for woody trees in temperate climate across all soil groups. There was also a decrease in the CR values for tropical climates for all comparable soil groups.
Optimized BaZrO3 nanorod density in YBa2Cu3O

6+x

matrix for high field applications
Authors: Aye Moe Moe , Rivasto Elmeri , Rijckaert Hannes , Palonen Heikki , Huhtinen Hannu , Van Driessche Isabel , Paturi Petriina 
Published: May 2022

Abstract
To maximize the flux pinning in high-temperature superconductor (HTS) thin film applications, we have experimentally studied the effect of BaZrO3 (BZO) nanorod density within the YBa2Cu3O

6
+
x

(YBCO) lattice. Even though the BZO decreases the self-field critical current density

J

c

(
0
)

and the absolute

J

c

(
B
)

at high fields is observed being the highest for 4% BZO doped YBCO, the maximized pinning property is observed at the level of 10% of BZO, when the distance between the outer edge of the nanorods is in the order of the diameter of the nanorod. In general, as also theoretically calculated, the flux pinning is increased even above 10% of BZO, but the improvement is limited by disturbance of the nanorod growth, weakening the flux pinning and decreasing the absolute

J

c

drastically. The results evidently show that by maximizing the flux pinning using higher BZO doping concentration than earlier expected and taking care of the maximum self-field

J

c

(
0
)

, which is strongly dependent on the electron mean free path, would offer the keys to resolve the challenges in the future HTS power applications.
Deep learning method for identifying mass composition of ultra-high-energy cosmic rays
Authors: Kalashev O. , Kharuk I. , Kuznetsov M. , Rubtsov G. , Sako T. , Tsunesada Y. , Zhezher Ya. 
Published: May 2022

AbstractWe introduce a novel method for identifying the mass composition of ultra-high-energy cosmic rays using deep learning. The key idea of the method is to use a chain of two neural networks. The first network predicts the type of a primary particle for individual events, while the second infers the mass composition of an ensemble of events. We apply this method to the Monte-Carlo data for the Telescope Array Surface Detectors readings, on which it yields an unprecedented low error of 7% for 4-component approximation. We also discuss the problems of applying the developed method to the experimental data, and the way they can be resolved.
How does soil water content influence permafrost evolution on the Qinghai-Tibet Plateau under climate warming?
Authors: Ji Fang , Fan Linfeng , Kuang Xingxing , Li Xin , Cao Bin , Cheng Guodong , Yao Yingying , Zheng Chunmiao 
Published: May 2022

Abstract
The active layer thickness (ALT) in permafrost regions regulates hydrological cycles, water sustainability, and ecosystem functions in the cryosphere and is extremely sensitive to climate change. Previous studies often focused on the impacts of rising temperature on the ALT, while the roles of soil water content and soil granularity have rarely been investigated. Here, we incorporate alterations of soil water contents in soil thermal properties across various soil granularities and assess spatiotemporal ALT dynamics on the Qinghai-Tibet Plateau (QTP). The regional average ALT on the QTP is projected to be nearly 4 m by 2100. Our results indicate that soil wetting decelerates the active layer thickening in response to warming, while latent heat exerts stronger control on ALTs than thermal conductivity does. Under similar warming conditions, active layers thicken faster in coarse soils than in fine soils. An important ramification of this study is that neglecting soil wetting may cause overestimations of active layer thickening on the QTP.
Added value of assimilating springtime Arctic sea ice concentration in summer-fall climate predictions
Authors: Acosta Navarro J C , García-Serrano J , Lapin V , Ortega P 
Published: May 2022

Abstract
Prediction skill of continental climate in the Northern Hemisphere (NH) midlatitudes is generally limited throughout the year in dynamical seasonal forecast systems. Such limitations narrow the range of possible applications by different stakeholders. Improving the predictive capacity in these regions has been a challenging task. Sea ice is a central component of the Arctic climate system and a local source of climate predictability, yet its state is often not fully constrained in dynamical forecast systems. Using the EC-Earth3 climate model, we study the added value of assimilating observed Arctic sea ice concentration on the NH extratropical climate in retrospective forecasts of summer and fall, initialized every spring over 1992–2019. Predictions in the North Atlantic and Eurasia benefit from better initialization of sea ice in the Atlantic sector of the Arctic in a two-step mechanism. Initially, sea ice influences the central North Atlantic Ocean through an atmospheric bridge that develops in the first forecast weeks, subsequently leading to preserved skill in the sea surface temperatures (SSTs) throughout summer and early fall. Secondly, these long-lasting SST improvements provide better surface boundary conditions for the atmosphere and lead to more skillful predictions of circulation and surface climate in the Euro-Atlantic and Asian regions. In addition, our findings suggest that fully coupled ocean-atmosphere-sea ice models are likely necessary to study linkages between Arctic sea ice and midlatitudes, by better representing the interactions and feedbacks between the different components of the climate system.
A low cost, easy-to-assemble, open-source modular mobile sampler design for thermal desorption analysis of breath and environmental VOCs
Authors: Chew Bradley S , Pimentel Contreras Raquel , McCartney Mitchell M , Borras Eva , Kenyon Nicholas J , Davis Cristina E 
Published: May 2022

Abstract
Exhaled breath vapor contains hundreds of volatile organic compounds (VOCs), which are the byproducts of health and disease metabolism, and they have clinical and diagnostic potential. Simultaneous collection of breath VOCs and background environmental VOCs is important to ensure analyses eliminate exogenous compounds from clinical studies. We present a mobile sampling system to extract gaseous VOCs onto commercially available sorbent-packed thermal desorption tubes. The sampler can be connected to a number of commonly available disposable and reusable sampling bags, in the case of this study, a Tedlar bag containing a breath sample. Alternatively, the inlet can be left open to directly sample room or environmental air when obtaining a background VOC sample. The system contains a screen for the operator to input a desired sample volume. A needle valve allows the operator to control the sample flow rate, which operates with an accuracy of −1.52 ± 0.63% of the desired rate, and consistently generated that rate with 0.12 ± 0.06% error across repeated measures. A flow pump, flow sensor and microcontroller allow volumetric sampling, as opposed to timed sampling, with 0.06 ± 0.06% accuracy in the volume extracted. Four samplers were compared by sampling a standard chemical mixture, which resulted in 6.4 ± 4.7% error across all four replicate modular samplers to extract a given VOC. The samplers were deployed in a clinical setting to collect breath and background/environmental samples, including patients with active SARS-CoV-2 infections, and the device could easily move between rooms and can undergo required disinfection protocols to prevent transmission of pathogens on the case exterior. All components required for assembly are detailed and are made publicly available for non-commercial use, including the microcontroller software. We demonstrate the device collects volatile compounds, including use of chemical standards, and background and breath samples in real use conditions.
Determination of Sub-District Indicators in Surabaya City based on the SMART Concept
Authors: Siswanto V K , Pamungkas A , Umilia E , Aini S D 
Published: May 2022

Abstract
Performance indicators of 31 sub-districts in Surabaya are still the same and are not yet fully accountable (SMART). It is very important to prepare SMART performance indicators so that it is expected that existing sub-district funds can be used effectively and efficiently. There are three analyses that will be conducted to achieve the research objectives, among others, by looking for programs and activities that can be carried out by the sub-district government based on the Decree of the Ministry of Internal Affairs No. 50 of 2020 that produces 4 programs, and 9 sub-prgrams selected to be carried out by the sub-district government. After that, Focus Group Discussion with the City government was carried out to find out the thematic potential of 31 sub-districts in Surabaya city as material for the preparation of subdistrict indicators and produced 6 sub-district themes. The last stage is to synchronize thematic sub-district programs and activities with the Regional Medium Term Development Plan (RPJMD) of Surabaya City. This is done so that the resulting activity indicators are in accordance with the direction of surabaya development in the next 5 years.
The local factors: The initiative of a well-informed and experienced community into the inclusive community-fire resilience plan
Authors: Sukwai J , Srinurak N 
Published: May 2022

Abstract
The unprecedented crisis of the COVID-19 has informed cities to enhance capacity building of local communities and disaster preparedness. However, an effective plan requires knowledge of a well-informed and experienced community in association with specific factors. In this study, we proposed a new perspective to look into the local factors: community-based planning, well-informed and experienced community, the inclusion of the local community in decision making, taking action on disaster preparedness, and local democracy in dealing with the community’s issues. Thus, the well-informed community members were involved in a participatory event applying the Geographical Information System (GIS) to facilitate knowledge exchange, assess risks, and locate the most vulnerable in the benefits of initiative fire prevention plan for the Meuntoom community, Chiang Mai province, Thailand. The results reveal both vulnerability and capacity that we later used to integrate into the community initiative plan. This research contributes by helping the community address what needs to be improved and which sectors need to work together. The overall results have highlighted opportunities to engage local communities and their knowledge in community-resilient plans, indicating that the outcome to be useful as a starting point for initiative plans for other incoming issues.
Assessment of liveability on settlements developed by informal land subdividers in Gunung Anyar and Rungkut Districts, Surabaya
Authors: Siagian L D T , Stefanugroho P K , Nisa Z , Septanaya I D M F , Ariastita P G 
Published: May 2022

Abstract
Acts of settlement development conducted by informal land subdividers were performed without following the existing regulatory framework, leading to uninhabitable settlements. In actuality, settlements ideally are obliged to provide a comfortable space where liveability is the form in which accomplishment is rated. For this reason, this study assessed the liveability of the settlements developed by the informal land subdividers in Gunung Anyar and Rungkut Districts, Surabaya. The study set two objectives, namely formulating the criteria of liveability as well as assessing the level of liveability on settlements developed by the informal land subdividers by means of; 1) conducting interviews with three experts and using quantitative content analysis, and; 2) interviewing inhabiting residents and using gap analysis and Importance-Performance Analysis (IPA). From the 27 criteria assessed in this study, there is no criterion that is rated satisfactory for said residents, signifying that said settlements are unliveable. When viewed through the Customers Satisfaction Index (CSI), the liveability of said settlements is included in the fair category. Based on the results of the mapping of criteria in the Cartesian IPA quadrant, there are eight criteria which become the main priority for improving performance.
Spatial analysis of health facility service coverage in handling of COVID-19 patients in the area Surabaya City Settlement
Authors: Kurniawati U F , Nurlaela Siti , Susetyo C , Firmansyah F 
Published: May 2022

Abstract
Settlements in the city of Surabaya are growing rapidly along with the increasing number of residents in the city of Surabaya. Since the COVID-19 pandemic, the population in the city of Surabaya has decreased. The city of Surabaya is included in the top 10 districts/cities with the highest cumulative number of deaths and the highest death rate per 100 thousand inhabitants. The widespread use of Geographic Information Systems (GIS) and technological developments in obtaining, recording, and collecting spatial data can be utilized to solve current problems. The purpose of this study is to develop a geographic information system for the coverage of health facilities for residential areas in the city of Surabaya. The first stage is to identify the location points for the distribution of COVID-19 health facilities and residential areas, analyze the reach of COVID-19 health facility services, and analyze the service coverage of settlements to the services of COVID-19 health facilities. The method used in this research is spatial analysis using the Multiple Ring Buffer method. The output is the service covergae of settlements to hospitals is divided into two categories, namely the medium category by 98% and the distant category by 2%. Meanwhile, for the housing service covergae of the health community centre is 100% in the medium category.
Role of government and society in urban innovation system: A case study from Indonesia
Authors: Sutriadi R , Fahmi F Z , Arifianto A , Muttaqin F I 
Published: May 2022

Abstract
Government innovation at the regional level needs to be encouraged to stimulate regional development. Technology can help drive the innovation process and organizational change. The innovation process involves interactive learning to create and disseminate knowledge. Positive impacts are also obtained from the success of this innovation, not only for local governments but also for the society. This paper aims to identify how local government innovation encourages urban innovation in the context of the Global South. We perform a case study to represent the digitalized innovation, namely Surakarta City. The data were collected from the Innovation Government Awards (IGA) organized by the Ministry of Home Affairs and interviews with the local governments. The analysis was conducted using qualitative methods which resulted in a typology of local government innovation in Indonesia at the city level. This paper shows the ideas of good governance, as revealed by local government innovation awards. In addition, there are role of actors in initiating the creation of new knowledge, imitating ideas, and socializing them to make government performance more effective.
Investigation of surface roughness and material removal rate of WEDM of SS304 using ANOVA and regression models
Authors: Srinivasan D , Ganesh N , D Jafrey Daniel James , Ramakrishnan H , Balasundaram R , Sanjeevi R , Pandiyan G Karthik , Kumar G Sathish , Chandran Mohanraj 
Published: May 2022

Abstract
Use of machine learning and artificial intelligence (AI) to analyze the complex interdependencies of production dataset has gained momentum in recent years. Machine learning and predictive algorithms are now used by manufacturers to fine-tune the quality of their products. WEDM of SS304 with process parameters such as pulse-on-time (Ton), pulse-off-time (T off), current (I), and voltage (V) was varied to study the effect of machining parameters such as Material Removal Rate (MRR) and surface roughness. Experiments were planned and executed according to the L’9 orthogonal array. Scanning Electron Microscope (SEM) was utilized to study the machined surface. An analysis of variance (ANOVA) was performed to determine the input and output significance. ANOVA results revealed that V (81.85%) and Toff (77.75%) for surface roughness. Further to determine the relationship between variables, various regression models based on machine learning was tested. The effectiveness of the regression models were tested. From their output it was concluded that the multilayer perception model had the highest correlation coefficient (0.999) for MRR while for surface roughness it was (0.995).
Copper fiber reinforced needle-coke/carbon composite for pantograph slide and its current-carrying wear performance
Authors: Li Meng , Ren Boyong , Wu Wei , Jiang Ke , Zhang Jiamin , Xu Enze , Liu Junwu , Zhong Honghai , Tong Guoqing , Jiang Yang 
Published: May 2022

Abstract
Copper fiber reinforced needle-coke/carbon (CF-NC/C) composites with different copper fiber contents have been successfully developed for urban rail pantograph slide block. The mechanical properties of needle coke samples containing 0 wt%, 4 wt%, 8 wt%, 12 wt% and 16 wt% were examined separately. It is found that the presence of needle coke with high aspect ratio, strength and electrical conductivity can greatly improves the physical properties of the pure carbon matrix. Therefore, we have obtained a novel carbon matrix composite. It is also revealed that the optimized CF-NC/C with 5 wt% copper fibers (CF-NC/C-5) composite has outstanding mechanical properties, current-carrying friction wear properties. The density, resistivity, and impact strength of the CF-NC/C-5 composite are 1.8788 g cm−3, 35.18 μΩ·m, 0.16 J cm−2, respectively. In current-carrying friction wear tests (0 A, 5 A, 10 A and 15 A), the CF-NC/C-5 shows an optimum friction wear performance. To avoid agglomeration of copper fibers, the copper fibers are added innovatively during the rolling process and uniformly distributed in the carbon matrix under the tangential force of rolling, which exhibits an improved effect on reinforcing the NC/C composites. Our results greatly advance the development of the needle-coke/carbon composite, which makes the new CF-NC/C composite an ideal candidate for sliding plate material with excellent properties.