bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiation effects in a SPACIROC2 ASIC and long-term reliability
Authors: Placinta V.M. , Cojocariu L.N. , de La Taille C. , Blin-Bondil S. , Mattiazzo S. , Silvestrin L. , Candelori A. , Maciuc F. 
Published: July 2021

Abstract
The study presented in this paper outlines the measurements
done to evaluate the performance of the second version of the
SPACIROC ASIC in ionizing radiation environments using different
types of particle beams: ions, protons and X-rays. From ion beam
tests, the threshold linear energy transfer (LET) for SEU production
was restricted between (4.4 ± 0.4) MeV·cm2/mg and
(8.6 ± 0.8) MeV·cm2/mg. The corresponding
cross-section value for the latter is
(1.6-1.4
+4.18)· 10-6 cm2/device — with
asymmetric errors corresponding to 95% confidence level (CL) —
and (0.5-0.34
+0.6)· 10-5 cm2/device (CL 95%)
for a LET of 11.2 ± 1.1 MeV·cm2/mg. A cross-section
for high energy hadrons (HEH) above 20 MeV till about 1 GeV was
measured and we place the actual value in
0.32 ·
10-12 cm2/device–6 · 10-12 cm2/device
interval with a high CL of about 95%. A room-temperature annealing
process was observed and precisely measured over time, which
efficiently mitigates within few days all residual TID effects that
were induced at a very high dose rate of order of 100s rad/s. The
obtained results are extrapolated to a few accelerator and
space-based applications and we predict no major operational
impediments within the lifetime of these experiments.
Potential biocontrol of endophytic fungi against Lasiodiplodia pseudotheobromae causal agent of cocoa dieback on cocoa seedling
Authors: Membalik V , Asman A , Amin N , Bahar A K F 
Published: July 2021

Abstract
Endophytic fungi associated with cocoa are one of the effective agents to control plant pathogens on cocoa, including the fungus Lasiodiplodia pseudotheobromae. L. pseudotheobromae cause a significant disease on cocoa, cocoa dieback. The disease is considered an emerged disease on cocoa in Sulawesi, Indonesia. The research aimed to determine the effect of the endophytic fungi on L. pseudotheobromae on cocoa seedlings. This study used a randomized block design consisting of 6 treatments and 3 replications. Five different fungi isolates were used that belong to Aspergillus genera. The treatment is three isolates of endophytes fungi (isolate T2S2LT, T245LT, T645LT), Aspergillus isolates combination, and control (with and without pathogen). The results showed that the combination of isolates and T645LT isolate was the best treatment for suppressing necrotic symptoms (leaf spot) incidence and severity. Also, T645LT isolate performed well to inhibit leaf blight symptoms incidence severity. Meanwhile, the chlorotic symptom was reduced by isolates combination, followed by T2S2LT, T645LT, and T245LT. Endophytic fungi can potentially be an important option to control cocoa dieback disease.
Resistance validation of several chili peppers to anthracnose (Colletrothicum acutatum) isolate Sukabumi
Authors: Gunaeni N , Korlina E , Hamdayanty H , Gaswanto R 
Published: July 2021

Abstract
Anthracnose Colletrothicum acutatum is the most dominant and virulent disease that attacks hot pepper pants and can reduce yields. One of the ways to control anthracnose can use resistant varieties. The research objective was to ensure the resistance of the hot pepper lines to C. acutatum isolate from Sukabumi. Anthracnose isolates used C. acutatum from Sukabumi with a DNA band measuring 490 bp. The method used to test the resistance to anthracnose on hot pepper was by inoculating 5 ul of conidial suspension with a density of 5.0 × 105 as much as one injection per fruit. PR protein analysis was performed on anthracnose infected and healthy fruit. The results showed that: (1). Based on the morphology of the isolates, the top looks are white and gray, and beige, white, peach for the colony color is shown below. (2). C. acutatum isolates from Sukabumi were identified by PCR method with DNA bands measuring 490 bp. (3). The results of validation of resistance to anthracnose C. acutatum with Sukabumi isolates obtained resistant lines: 2A (R-4), 4A (R-15), 4B (R-9), 6 (R-12), 7 (-13), 8 (R-14) with a lesion diameter less than 5 mm. (4). The absorbance value of peroxidase enzyme and protein content of anthracnose-resistant fruit was higher than that of susceptible fruit. (5). The results of the analysis of the protein band pattern profile on the PR-protein results showed that in certain molecular weight range thin and thick gene expressions were seen with molecular weights ranging between 37 kDa.
Low-cost Preparation of WO3/BiVO4 Nanocomposite Photoanodes for Photoelectrochemical Water Oxidation
Authors: Naqvi Syeda Qurat-Ul-Ain , Raza Syed Abbas , Soon Ying Woan , Liu Yeru , Jennings James Robert 
Published: July 2021

Abstract
Nanostructured WO3 electrodes coated with BiVO4 are known to be among the best performing BiVO4-based photoanodes for photoelectrochemical water splitting. However, record performance is only achieved using intricate and costly electrode fabrication processes; when lower-cost, more scalable methods are used, performance drops significantly. Here, we show that a low-cost successive ionic layer adsorption and reaction method, which has received relatively little attention for the preparation of BiVO4, can be used to convert nanoporous WO3 films prepared by spin coating into high-performance WO3/BiVO4 photoanodes. After treatment with a cobalt phosphate co-catalyst, optimized WO3/BiVO4 photoanodes can reach water oxidation photocurrent densities of up to ~3.4 mA cm-2, with a photocurrent onset potential of ~0.56 V vs. RHE. Furthermore, an investigation by impedance spectroscopy showed that the electron diffusion length in both types of film is longer than the film thickness, which is an important requirement for an efficient nanostructured electrode. These results highlight the role that simple deposition methods such as SILAR can play in the preparation of nanocomposite photoanodes for PEC applications.
Study case: cost-benefit of a photovoltaic system to reduce the consumption of the irrigation pumps in a Honduran sugar cane farm
Authors: Stwolinsky García K , Reyes Duke A 
Published: July 2021

Abstract
This paper presents the results of the case study on the cost-benefit (B/C) of the implementation of a photovoltaic solar system on a sugar cane farm. “El Modelo’s” farm, electric pumping system represents an electricity consumption of 1,087.2 (MWh/year), which translates into an expense of the 19.7%. The study is based on three analyzes: market, technical, and financial. The market analysis represents the current demand profile, this profile shows that more than 70% of the energy is consumed during the insolation time. The technical analysis is based on the interpretation of meteorological data, such as the annual global radiation representing 1,800 (kWh/m2) and a daily insolation duration of approximately 8 hours; the design of a grid-connected photovoltaic system of 4,431 (m2), with an installed power of 474.2 (kW) and the comparison of its simulation of operation between Helioscope and PVsyst, which presents an annual power generation of 686.2 (MWh). The financial analysis has the purpose of calculating the B/C, for which a leveled cost of energy (LCOE) of 0.0425 ($/kWh) is calculated, thanks to this factor a projection of the current value of savings of $ 1,009,148.71 is established, which are compared with the current value of the initial investment costs of $ 555,603.44, these values are related to establish a B/C of 1.82, which assumed that this project is profitable.
THE USE OF DIGITAL INNOVATIONS IN THE DEVELOPMENT OF THE ARCTIC
Authors: Dyatlov S A , Didenko N I , Abakumova M V , Kulik S V 
Published: July 2021

Abstract
The paper describes the application of Industry 4.0 technologies, gives an overview of previous research on digital innovations, and defines goals and objectives of the research. The core concept of «Industry 4.0 technology» and features of the ways to exploit it in the Arctic institutions have been examined. There has been carried out an analysis of international practices to apply Industry 4.0 technologies in all spheres of life. The flexible automated production of goods or services based on new generation robotics and factories in the Arctic zone has been considered as being the highest stage of complex automated production. An example of automated use of products and services are «smart houses», or «smart things». Methods of collection of advanced production technologies have been discussed. A strategy has been developed to select the most advanced production technologies for spheres of life and the best possible strategic option has been defined. Financial and time resources were chosen as optimization criteria.
Southeast Asian technologies at enterprises in Arctic zone of Russian Federation
Authors: Chistalyova T. , Eidemiller K. Yu. , Zhuravel V P , Rubtsova A V , Bocharov A A 
Published: July 2021

Abstract
Within the domestic and foreign policy of Russia the Arctic is one of the most important regions, the development of this region ranks a significant place in the plans and strategies of Russian government. The brilliant potential of the region is of particular interest to a number of countries, including the countries of Southeast Asia. It is reasonable that concerned states choose Russia as their partner in the polar region since Russia possesses the largest territories in the Arctic and resolutely develops them. For the Russian Federation such attention to the Arctic is beneficial because of the prospects of technological and economic cooperation. However, are there any possibilities for the states, far from the polar territories, to become crucial partners for the Russian North? In the paper, the authors analyzed this issue and have made the conclusion that despite the mutual interest of both parties in the development of cooperation in the Arctic, the current circumstances and conditions result in the fact that the partnership consists only of the separate joint ventures, not systematic joint work.
Strategic management of industrial enterprise digital maturity in a global economic space of the ecosystem economy
Authors: Gileva T A , Galimova M P , Babkin A V , Gorshenina M E 
Published: July 2021

Abstract
Most traditional businesses are now in the early stages of a digital transformation process that is essential to stay competitive. One of the distinctive features of the digital environment is the development of ecosystems that change the established rules of competition and business conduct, and break down the boundaries between industries. Therefore, the purpose of this article is to explore the possibilities and formulate recommendations for the use of business ecosystems as a strategic factor in the development of traditional industrial enterprises. The analysis of research in the field of creation and functioning of business ecosystems was carried out, the features and strategic advantages were highlighted. It was shown that the business ecosystem is only one of the successful management models in the digital economy. The factors of choosing the preferred model are picked out: the stability of the industry, the features of the value proposition and the level of coordination of partner companies required for its creation. The necessity is noted and clarification of some provisions in the field of strategic management as a methodology for managing the development of industrial enterprises (in terms of the limited scheduling, modular and “two-speed” format of the digital transformation strategy) is formulated. The characteristics of models for assessing the digital maturity of an enterprise as a tool for managing its development are given. In the context of the growing role of business ecosystems in economic development, it is proposed to supplement such model with a block for assessing the readiness of an enterprise for partnership. A model of strategic management of enterprise development in a digital environment has been developed based on an assessment of the gap in terms of digital maturity.
Development of a resource-saving technology for industrial processing of hematite-containing raw materials based on computer modelling
Authors: Khokhulya M S , Fomin A V 
Published: July 2021

Abstract
The paper presents the results of the research aimed at recovery of hematite from current and stockpiled tailings produced at the mineral processing plant of Olkon JSC. The authors investigated material composition of tailing samples. Using methods of computational fluid dynamics and the ANSYS software, the models of spiral separation of the tailings have been developed. The use of computer modelling has shown that spiral separators can be recommended for tailings processing. The modelling results were confirmed with industrial spiral separation tests conducted at the processing plant. The authors developed a gravity separation technology for processing the magnetic separation tailings and stockpiled tailings. The proposed technology allows recovering hematite concentrate with a hematite iron content of 54.5% and recovery of 75.4% from current tailings containing 5.2% of hematite iron. It was also shown that hematite concentrate can be recovered from stockpiled tailings using the separation technology based on the use of spiral separation. The gravity separation technology provides for resources economy at the mineral processing plant. The use of stockpiled tailing as a raw material source can reduce negative environmental impact.
Increased ploidy of Butomus umbellatus in introduced populations is not associated with higher phenotypic plasticity to N and P
Authors: Harms Nathan E , Cronin James T , Gaskin John F 
Published: July 2021

Abstract
Separate introductions or post-introduction evolution may lead to multiple invader genotypes or cytotypes that differ in growth rates, biomass or chemical profile responses (phenotype) to a range of environments. If the invader has high trait plasticity to a range of resource levels, then sediment N or P enrichment may enhance invasiveness. However, the ways in which ploidy, plasticity, and available N or P interact are unknown for most species despite the potential to explain spread and impacts by invaders with multiple introduced lineages. We conducted a common garden experiment with four triploid and six diploid populations of Butomus umbellatus, collected from across its invasive range in the USA. Plants were grown under different N or P nutrient levels (4, 40, 200, 400 mg L−1 N; 0.4, 4, 40 mg L−1 P) and we measured reaction norms for biomass, clonal reproduction and tissue chemistry. Contrary to our expectation, triploid B. umbellatus plants were less plastic to variation in N or P than diploid B. umbellatus in most measured traits. Diploid plants produced 172 % more reproductive biomass and 57 % more total biomass across levels of N, and 158 % more reproductive biomass and 33 % more total biomass across P than triploid plants. Triploid plants had lower shoot:root ratios and produced 30 % and 150 % more root biomass than diploid plants in response to increases in N and P, respectively. Tissue chemistry differed between cytotypes but plasticity was similar; N was 8 % higher and C:N ratio was 30 % lower in triploid than diploid plants across levels of N and plant parts, and N was 22 % higher and C:N ratio 27 % lower across levels of P and plant parts. Our results highlight differences in nutrient response between cytotypes of a widespread invader, and we call for additional field studies to better understand the interaction of nutrients and ploidy during invasion.
The Impact of Breast Symmetry on Eye Movement and Gaze Pattern: An Eye-Tracking Investigation
Authors: Moellhoff Nicholas , Kandelhardt Chiara , Ehrl Denis , Kohler Lukas , Koban Konstantin , Giunta Riccardo E , Guertler Anne , Mardini Samir , Cotofana Sebastian , Frank Konstantin 
Published: July 2021

Abstract

Background
The objective assessment of beauty remains challenging despite ongoing research efforts. A new method of objectively determining the aesthetic appeal of body features by analyzing gaze patterns and eye movements has recently been investigated.

Objectives
The objective of this study was to assess, by means of objective eye-tracking technology, differences in the gaze patterns of observers presented with standardized 3-dimensional images showing different degrees of breast asymmetry.

Methods
A total of 83 Caucasian study participants with a mean age of 38.60 (19.8) years were presented with 5 images depicting varying degrees of breast asymmetry. In addition to the assessment of eye movements, participants were asked to rate the aesthetic appeal and the asymmetry of the breasts on a 5-point Likert scale.

Results
Overall, the data showed that participants’ rating of the breasts’ aesthetic appeal was inversely related to the level of asymmetry. The mean [standard deviation] time until fixation was shortest for the image depicting the greatest breast asymmetry (50 cc) at 0.77 [0.7] seconds (P &lt; 0.001). In addition, the mammary region was also viewed longest in this image at 3.76 [0.5] seconds (P &lt; 0.001). A volume difference of 35 cc between breasts deflected the observers’ gaze significantly toward the larger of the asymmetric breasts (P &lt; 0.001).

Conclusions
Surgeons should focus on achieving symmetric breast volume (ie, differences &lt;35 cc between breasts) to avoid noticeable asymmetry with regard to breast size.
1′-Acetoxychavicol acetate, a potent transient receptor potential ankyrin 1 agonist derived from Thai ginger, prevents visceral fat accumulation in mice fed with a high-fat and high-sucrose diet
Authors: Ikeya Tatsunori , Terada Yuko , Morimitsu Yasujiro , Kubota Kikue , Ito Keisuke , Watanabe Tatsuo 
Published: July 2021

ABSTRACT
1′-Acetoxychavicol acetate (ACA) is found in Thai ginger (Alpinia galanga) and is a powerful agonist of transient receptor potential ankyrin 1 (TRPA1). In a diet-induced obesity mouse model, ACA reduced fat deposition. Sympathetic nerve activation was also indicated in the ACA-fed group. This study is expected to promote the utilization of food containing TRPA1 agonists to treat obesity.
White rice ethanol extract is qualitatively, but not quantitatively, equivalent to that of brown rice as an antioxidant source
Authors: Wu Hongyan , Nakamura Toshiyuki , Guo Yingnan , Hirooka Miho , Zhang Gongliang , Munemasa Shintaro , Murata Yoshiyuki , Fujita Akiko , Nakamura Yoshimasa 
Published: July 2021

ABSTRACT
The purpose of this study is to compare the potentials to exhibit biologically active antioxidant actions between white rice (WR) and brown rice (BR) in in vitro assays and a cellular model. The Trolox equivalent (TE) per 1 mg ethanol extract of WR for the 1,1-diphenyl-2-picrylhydrazyl assay was slightly higher than that of BR, whereas the TE per 1 g whole WR was much lower than that for BR. This tendency was very comparable to those for the oxygen radical absorbance capacity and total polyphenol content. Both of the ethanol extracts also similarly suppressed the hydrogen peroxide-induced cytotoxicity and enhanced the gene expression of drug-metabolizing enzymes. Based on the α-tocopherol quantity, its contribution to the cytoprotective effect of the rice extracts is very limited. Taken together, the ethanol extract of WR might be a qualitatively, but not quantitatively, equivalent source of antioxidative phytochemicals to that of BR.
Supervised application of internal validation measures to benchmark dimensionality reduction methods in scRNA-seq data
Authors: Koch Forrest C , Sutton Gavin J , Voineagu Irina , Vafaee Fatemeh 
Published: July 2021

AbstractA typical single-cell RNA sequencing (scRNA-seq) experiment will measure on the order of 20 000 transcripts and thousands, if not millions, of cells. The high dimensionality of such data presents serious complications for traditional data analysis methods and, as such, methods to reduce dimensionality play an integral role in many analysis pipelines. However, few studies have benchmarked the performance of these methods on scRNA-seq data, with existing comparisons assessing performance via downstream analysis accuracy measures, which may confound the interpretation of their results. Here, we present the most comprehensive benchmark of dimensionality reduction methods in scRNA-seq data to date, utilizing over 300 000 compute hours to assess the performance of over 25 000 low-dimension embeddings across 33 dimensionality reduction methods and 55 scRNA-seq datasets. We employ a simple, yet novel, approach, which does not rely on the results of downstream analyses. Internal validation measures (IVMs), traditionally used as an unsupervised method to assess clustering performance, are repurposed to measure how well-formed biological clusters are after dimensionality reduction. Performance was further evaluated over nearly 200 000 000 iterations of DBSCAN, a density-based clustering algorithm, showing that hyperparameter optimization using IVMs as the objective function leads to near-optimal clustering. Methods were also assessed on the extent to which they preserve the global structure of the data, and on their computational memory and time requirements across a large range of sample sizes. Our comprehensive benchmarking analysis provides a valuable resource for researchers and aims to guide best practice for dimensionality reduction in scRNA-seq analyses, and we highlight Latent Dirichlet Allocation and Potential of Heat-diffusion for Affinity-based Transition Embedding as high-performing algorithms.
APPTEST is a novel protocol for the automatic prediction of peptide tertiary structures
Authors: Timmons Patrick Brendan , Hewage Chandralal M 
Published: July 2021

AbstractGood knowledge of a peptide’s tertiary structure is important for understanding its function and its interactions with its biological targets. APPTEST is a novel computational protocol that employs a neural network architecture and simulated annealing methods for the prediction of peptide tertiary structure from the primary sequence. APPTEST works for both linear and cyclic peptides of 5–40 natural amino acids. APPTEST is computationally efficient, returning predicted structures within a number of minutes. APPTEST performance was evaluated on a set of 356 test peptides; the best structure predicted for each peptide deviated by an average of 1.9Å from its experimentally determined backbone conformation, and a native or near-native structure was predicted for 97% of the target sequences. A comparison of APPTEST performance with PEP-FOLD, PEPstrMOD and PepLook across benchmark datasets of short, long and cyclic peptides shows that on average APPTEST produces structures more native than the existing methods in all three categories. This innovative, cutting-edge peptide structure prediction method is available as an online web server at https://research.timmons.eu/apptest, facilitating in silico study and design of peptides by the wider research community.
miRAnno—network-based functional microRNA annotation
Authors: Tokar Tomas , Pastrello Chiara , Abovsky Mark , Rahmati Sara , Jurisica Igor 
Published: July 2021

Abstract

Motivation
Functional annotation is a common part of microRNA (miRNA)-related research, typically carried as pathway enrichment analysis of the selected miRNA targets. Here, we propose miRAnno, a fast and easy-to-use web application for miRNA annotation.

Results
miRAnno uses comprehensive molecular interaction network and random walks with restart to measure the association between miRNAs and individual pathways. Independent validation shows that miRAnno achieves higher signal-to-noise ratio compared to the standard enrichment analysis.

Availability and implementation
miRAnno is freely available at https://ophid.utoronto.ca/miRAnno/.

Supplementary information
Supplementary data are available at Bioinformatics online.