bluuebunny/crossref_metadata_2025 huggingface dataset:
Slab‐fluid metasomatism in the Early Paleozoic forearc mantle deduced from the Motai serpentinites, South Kitakami Belt, northeast Japan
Authors: Okamoto Ayaka , Ichiyama Yuji , Tamura Akihiro , Morishita Tomoaki
Published: January 2021

The present study examines the petrology and geochemistry of the Early Paleozoic Motai serpentinites, the South Kitakami Belt, northeast Japan, to reveal the subduction processes and tectonics in the convergent margin of the Early Paleozoic proto‐East Asian continent. Protoliths of the serpentinites are estimated to be harzburgite to dunite based on the observed amounts of bastite (orthopyroxene pseudomorph). Relic chromian spinel Cr# [=Cr/(Cr + Al)] increases with decreasing amount of bastite. The compositional range of chromian spinel is similar to that found in the Mariana forearc serpentinites. This fact suggests that the protoliths of the serpentinites are depleted mantle peridotites developed beneath the forearc regions of a subduction zone. The Motai serpentinites are divided into two types, namely, Types 1 and 2 serpentinites; the former are characterized by fine‐grained antigorite and lack of olivine, and the latter have coarse‐grained antigorite and inclusion‐rich olivine. Ca‐amphibole occurs as isolated crystals or vein‐like aggregates in the Type 1 serpentinites and as needle‐shaped minerals in the Type 2 serpentinites. Ca‐amphibole of the Type 1 serpentinites is more enriched in LILEs and LREEs, suggesting the influence of hydrous fluids derived from slabs. By contrast, the mineral assemblage, mineral chemistry, and field distribution of the Type 2 serpentinites reflect the thermal effect of contact metamorphism by Cretaceous granite. The Ca‐amphibole of the Type 1 serpentinites is different from that of the Hayachine–Miyamori Ophiolite in terms of origin; the latter was formed by the infiltration of melts produced in an Early Paleozoic arc–backarc system. Chemical characteristics of the Ca‐amphibole in the ultramafic rocks in the South Kitakami Belt reflect the tectonics of an Early Paleozoic mantle wedge, and the formation of the Motai metamorphic rocks in the forearc region of the Hayachine–Miyamori subduction zone system, which occurred at the Early Paleozoic proto‐East Asian continental margin.
Temperature deformation of 1‐3 cylindrical curved composite
Authors: Hou Wei , Wang Likun , Kang Binglin , Liao Qingwei , Qin Lei , Zhong Chao , Chen Liyin , Cao Hailin
Published: January 2021

Piezoelectric composites will cause different degrees of deformation when ambient temperature changes during transportation, storage and use, affecting the performance and reliability seriously. The deformation measurement of cylindrical piezoelectric composites based on fiber Bragg grating (FBG) measurement is presented in this paper. The deformation and electromechanical properties of cylindrical piezoelectric composites over a wide range of temperature, from 233 K to 373 K, are investigated in detail. The deformation of piezoelectric composites in different directions is calculated. Adding deformation information, the frequency constant and dielectric constant data are modified. The results show that, at 233 K, the relative change of curvature of the cylindrical composite material in the arc direction is 0.024% and the relative change of deformation in the width and thickness direction are 0.018% and 0.026%, respectively. When the environment's temperature is increased to 100℃, the relative change of curvature in the arc direction is 0.019% and the relative changes of deformation in the width and thickness direction are 0.019% and 0.008%, respectively. After adding the deformation information, the most evident changes of frequency constant and dielectric constant are between 303 K and 333 K, the rate of change (slope) of frequency constant and the dielectric constant are −1.82983 (decreasing) and 3.85591 (increasing), respectively.
The causal effect of the number of children on gender‐specific labour supply elasticities to the firm
Authors: Detilleux Céline , Deschacht Nick
Published: January 2021

We estimate the effect of the number of children on the female and the male wage elasticities of labour supply to the firm using instrumental variables estimation in data from the US Current Population Survey (2000–19). Parents' number of children is instrumented with the sex mix of their first two children. We find that the male wage elasticity of labour supply to the firm significantly increases with the number of children, while the female elasticity is not significantly altered. That is, we find evidence that male labour markets become more competitive with the arrival of children. Our results also show that firms have substantial monopsonistic power and, in line with the monopsony theory of the gender pay gap, that male labour markets are more competitive than female markets.
Assessing the Vulnerability of an Aquifer to Climate Variability through Community Participation in Arivaca, Arizona
Authors: Uhlman Kristine , Eastoe Chris , Guido Zack , Crimmins Michael A. , Purkey‐Deller Anne , Eden Susanna
Published: January 2021

In Arivaca, Arizona, groundwater isotope measurements (stable O and H, tritium, and carbon‐14) were made in conjunction with water level measurements and climate data. Recharge is predominantly young (post‐1950) and is mainly from summer monsoon precipitation. Following a five‐month period of unusually low δ18O and δ2H in precipitation in 2014–2015, corresponding shift in groundwater δ18O and δ2H was observed only at a site with recently built gabions. Water levels near the basin outlet increase in summer following periods of high storm frequency. Water levels also rebound in winter, possibly because of cessation of transpiration. The young groundwater is vulnerable to climate change, e.g., to protracted periods with summers that are drier or hotter than normal. Rapid assessment of groundwater and its connection to climate can provide valuable information to local water managers and citizens for whom more expensive studies are not feasible. Such assessments, based on relatively inexpensive isotope analyses and groundwater level data collected by volunteers, engage the community in management of its water resources. In Arivaca, the community responded to the results of the assessment with heightened interest in managing their water for sustainability and the construction of gabions to increase recharge from stormwater.
Protein kinases in plant responses to drought, salt, and cold stress
Authors: Chen Xuexue , Ding Yanglin , Yang Yongqing , Song Chunpeng , Wang Baoshan , Yang Shuhua , Guo Yan , Gong Zhizhong
Published: January 2021

Protein kinases are major players in various signal transduction pathways. Understanding the molecular mechanisms behind plant responses to biotic and abiotic stresses has become critical for developing and breeding climate‐resilient crops. In this review, we summarize recent progress on understanding plant drought, salt, and cold stress responses, with a focus on signal perception and transduction by different protein kinases, especially sucrose nonfermenting1 (SNF1)‐related protein kinases (SnRKs), mitogen‐activated protein kinase (MAPK) cascades, calcium‐dependent protein kinases (CDPKs/CPKs), and receptor‐like kinases (RLKs). We also discuss future challenges in these research fields.
Making Theoretically Informed Choices in Specifying Panel‐Data Models
Authors: Ketokivi Mikko , Bromiley Philip , Awaysheh Amrou
Published: January 2021

We argue that in analyzing panel‐data econometric models, researchers rely excessively on statistical criteria to determine model specification, treating it primarily as a matter of statistical inference. This inferential emphasis is most obvious in the common practice of using statistical tests (e.g., the Hausman test) to choose between fixed‐ and random‐effects specifications, often ignoring the assumptions underpinning these tests. For instance, the Hausman test depends on the true within‐panel (longitudinal) and between‐panel (cross‐sectional) parameters being equal. This assumption is often not justified, because longitudinal and cross‐sectional variances and covariances may manifest different underpinning mechanisms. In addition to different mechanisms often resulting in different variables determining within and between effects, within and between variables may also have different meanings. To help researchers make theoretically informed choices, we formulate five questions that can guide researchers to think of model specification in a theoretically rigorous way. We examine these issues with examples from both general management and operations management research. Importantly, we argue that addressing the questions regarding model specification must involve primarily theoretical and contextual judgment, not statistical tests.
Continuous variable quantum entanglement in optomechanical systems: A short review
Authors: Sarma Amarendra K. , Chakraborty Subhadeep , Kalita Sampreet
Published: January 2021

Cavity optomechanics deals with the radiation pressure induced interaction between photons and mechanical motion in a cavity. It has promising applications in quantum information science. In this review, the authors discuss quantum entanglement in this emerging area of research. After giving a brief historical background on the topic of entanglement and cavity optomechanics, measures of continuous variable entanglement are discussed somewhat in great details. This is followed by a short discussion on cavity quantum optomechanics, relevant to the topic on entanglement. Then the authors discuss most of the prominent ideas and proposals pertaining to entanglement research in cavity optomechanics up until now. The authors have emphasized the key theoretical concepts without too much rigor and provided relevant experimental details whenever deemed appropriate. Finally, the authors conclude by giving a perspective on other quantum correlations such as quantum discord and quantum synchronization.
Novel Markers of Recovery From Overtraining Syndrome: The EROS-LONGITUDINAL Study
Authors: Cadegiani Flavio A. , Silva Pedro Henrique L. , Abrao Tatiana C.P. , Kater Claudio E.
Published: January 2021

Purposes: Overtraining syndrome (OTS) is an unexplained underperformance syndrome triggered by excessive training, insufficient caloric intake, inadequate sleep, and excessive cognitive and social demands. Investigation of the recovery process from OTS has not been reported to date. The objective was to unveil novel markers and biochemical and clinical behaviors during the restoration process of OTS. Methods: This was a 12-week interventional protocol in 12 athletes affected by OTS, including increase of caloric intake, transitory interruption of training, improvement of sleep quality, and management of stress, followed by the assessment of 50 parameters including basal and hormonal responses to an insulin tolerance test and nonhormonal biochemical markers, and body metabolism and composition. Results: Early cortisol (P = .023), late ACTH (adrenocorticotrophic hormone) (P = .024), and early and late growth hormone (P = .005 and P = .038, respectively) responses, basal testosterone (P = .038), testosterone:estradiol ratio (P = .0005), insulinlike growth factor 1 (P = .004), cortisol awakening response (P = .001), and free thyronine (P = .069) increased, while basal estradiol (P = .033), nocturnal urinary catecholamines (P = .038), and creatine kinase (P = .071) reduced. Conversely, markers of body metabolism and composition had slight nonsignificant improvements. Conclusion: After a 12-week intervention, athletes affected by actual OTS disclosed a mix of non-, partial, and full recovery processes, demonstrating that remission of OTS is as complex as its occurrence.
3D printing of highly stretchable hydrogel with diverse UV curable polymers
Authors: Ge Qi , Chen Zhe , Cheng Jianxiang , Zhang Biao , Zhang Yuan-Fang , Li Honggeng , He Xiangnan , Yuan Chao , Liu Ji , Magdassi Shlomo , Qu Shaoxing
Published: January 2021

This article proposes an approach of 3D printing structures consisting of stretchable hydrogels bonded with UV curable polymers.
Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets
Authors: Neff Ryan A. , Wang Minghui , Vatansever Sezen , Guo Lei , Ming Chen , Wang Qian , Wang Erming , Horgusluoglu-Moloch Emrin , Song Won-min , Li Aiqun , Castranio Emilie L. , TCW Julia , Ho Lap , Goate Alison , Fossati Valentina , Noggle Scott , Gandy Sam , Ehrlich Michelle E. , Katsel Pavel , Schadt Eric , Cai Dongming , Brennand Kristen J. , Haroutunian Vahram , Zhang Bin
Published: January 2021

Three major molecular subtypes of Alzheimer’s disease are identified, cross-validated, and characterized across 1543 individuals.
Peer review and gender bias: A study on 145 scholarly journals
Authors: Squazzoni Flaminio , Bravo Giangiacomo , Farjam Mike , Marusic Ana , Mehmani Bahar , Willis Michael , Birukou Aliaksandr , Dondio Pierpaolo , Grimaldo Francisco
Published: January 2021

No evidence that women are penalized in peer review and editorial processes, finds study on 145 journals in multiple disciplines.
Polarization-sensitive stimulated Raman scattering imaging resolves amphotericin B orientation in
Candida
membrane
Authors: Dong Pu-Ting , Zong Cheng , Dagher Zeina , Hui Jie , Li Junjie , Zhan Yuewei , Zhang Meng , Mansour Michael K. , Cheng Ji-Xin
Published: January 2021

Label-free stimulated Raman scattering microscopy resolves amphotericin B orientation in fungal cell membrane.
A genome-wide CRISPR-based screen identifies
KAT7
as a driver of cellular senescence
Authors: Wang Wei , Zheng Yuxuan , Sun Shuhui , Li Wei , Song Moshi , Ji Qianzhao , Wu Zeming , Liu Zunpeng , Fan Yanling , Liu Feifei , Li Jingyi , Esteban Concepcion Rodriguez , Wang Si , Zhou Qi , Belmonte Juan Carlos Izpisua , Zhang Weiqi , Qu Jing , Tang Fuchou , Liu Guang-Hui
Published: January 2021

Inactivation of the histone acetyltransferase gene
KAT7
prolongs survival in naturally aged mice and progeroid mice that age prematurely.
Whole-Genome Sequencing of Two Moroccan Mycobacterium tuberculosis Strains
Authors: Laamarti M. , El Mrimar N. , Alouane T. , Kartti S. , Belouad E. , Bssaibis F. , Zegmout A. , El Jaoudi R. , Maleb A. , Abid A. , El Hajjami N. , Lemnouer A. , Siah S. , Belyamani L. , Elouennass M. , Ibrahimi A.
Published: January 2021

Mycobacterium tuberculosis
is known to cause pulmonary and extrapulmonary tuberculosis. In Morocco, the spread of multidrug-resistant (MDR) tuberculosis (TB) has become a major challenge. Here, we announce the draft genome sequences of two
Mycobacterium tuberculosis
strains, MTB1 and MTB2, isolated from patients with pulmonary tuberculosis in Morocco, to describe variants associated with drug resistance.
Draft Genome Sequence of Plant Growth-Promoting Bacillus velezensis BS89
Authors: Chebotar Vladimir K. , Voshol Gerben P. , Malfanova Natalia V. , Chizhevskaya Elena P. , Zaplatkin Alexander N. , Komarova Oksana V. , Baganova Maria E. , Lazarev Alexander M. , Balakina Svetlana V.
Published: January 2021

The plant growth-promoting bacterium
Bacillus velezensis
BS89 was isolated from the rhizosphere of winter wheat. Strain BS89 has the ability to promote plant growth and produce a mix of auxins and vitamins. Here, we sequenced the complete genome of this strain to understand the molecular mechanisms underlying its beneficial activities.
Draft Genome Sequence of the Phosphate-Solubilizing Rhizobacterium Burkholderia pseudomultivorans Strain MPSB1, Isolated from a Copper Mined-Out Site
Authors: Aba-Regis Berna Lou L. , Oliveros Kristel Mae P. , Ibarra-Romero Cherry , Raymundo Asuncion K. , Aggangan Nelly S. , Zulaybar Teofila O. , Rosana Albert Remus R.
Published: January 2021

Burkholderia pseudomultivoransMPSB1 was isolated from a copper mined-out soil sample collected from Mogpog, Marinduque, Philippines. Here, we report the draft genome sequence with predicted gene inventories supporting rhizosphere bioremediation, such as heavy metal tolerance, phosphate solubilization, and siderophore production.
Genome Sequence of the Versatile Deadwood Decomposer Xylaria grammica IHIA82
Authors: Büttner Enrico , Kimani Virginia Wambui , Kellner Harald , Hofrichter Martin , Liers Christiane
Published: January 2021

Xylaria grammica
is an ascomycetous decomposer of dead hardwood.
X. grammica
IHIA82 was recovered from the Kakamega Forest, Kenya. The whole genome of this strain was sequenced with a total size of 47.0 Mbp, a G+C content of 48.1%, and 12,126 predicted genes.
Complete Genome Sequence of
Streptomyces
Phage Salutena
Authors: Kim Jinha , Higbee Tyler , Clark James , Le Tram , Liu Mei , Burrowes Ben
Published: January 2021

Streptomyces
are Gram-negative soil bacteria that can degrade lignin and synthesize antibiotics. Some species cause mycetoma, pneumonitis, and bloodstream infections. Here, we present the genome sequence of the
Streptomyces
sp. strain Mg1 phage Salutena, a siphovirus in the subfamily
Arquatrovirinae
. The genome is 51,993 bp, with 90 predicted protein-coding genes.
Complete Genome Sequence of
Sandaracinobacter
sp. Strain M6, Isolated from a Rocky Mountain in China
Authors: Tang Ying , Huang Jun , Zhang Cuiyang , Bi Shiyu , Guo Zhaohui , Liu Qingshu , Lei Ping
Published: January 2021

We report the complete genome sequence of
Sandaracinobacter
sp. strain M6 obtained by Oxford Nanopore and Illumina sequencing. The approximately 3.4 Mb genome sequence with a GC content of 67.65% provides essential data for future taxonomic studies and information for further investigating the metabolic characteristics of aerobic anoxygenic phototrophs.
Disease-modifying antirheumatic drugs and organising pneumonia
Authors: Faisal Mohamed , Roslan Asyraf , Nik Abeed Nik Nuratiqah , Ban Yu-Lin Andrea
Published: January 2021

Organising pneumonia (OP) in rheumatoid arthritis (RA) may be part of pulmonary manifestation (disease related) or disease-modifying antirheumatic drugs (DMARDs) related. We report a case series of RA patients with DMARDs related OP. A 65-year-old woman developed OP 3 weeks after initiation of methotrexate (MTX). High-resolution CT (HRCT) scan of the thorax revealed bilateral consolidations in the lung bases. She had complete radiological resolution 6 months after corticosteroid therapy with cessation of MTX. The second case was of a 60-year-old woman on MTX with recent addition of leflunomide due to flare of RA. She developed worsening cough 4 months later and HRCT scan revealed consolidation in the left upper lobe with biopsy proven OP. She responded within 6 months of corticosteroid therapy with clinical and radiological resolution. This case series highlights that OP may developed with low-dose MTX (as early as 3 weeks) and leflunomide and the diagnosis requires a high index of suspicion.
Tobacco imagery in entertainment media: evolution of tobacco-free movies and television programmes rules in India
Authors: Yadav Amit , Glantz Stanton A
Published: January 2021

Introduction

Tobacco imagery in films and television increased in India after it ended conventional tobacco advertising in 2004. The Ministry of Health and Family Welfare (MoHFW) introduced rules to eliminate this tobacco imagery in 2005 which took effect in amended form in 2012. This study presents the enablers and barriers in development and implementation of the regulations to curb tobacco imagery in films and television in India.

Method

We reviewed legislation, evolving regulations, parliamentary questions, judicial decisions, Bollywood trade publications and relevant news articles from 2003 to 2019 and interviewed key informants.

Results

Based on the WHO reports and civil society demands, the MoHFW issued a complete ban on tobacco imagery in movies and television programmes in 2005. The Ministry of Information and Broadcasting (MoIB) joined the film industry in opposing the rules. A filmmaker challenged the rules in court, which ruled that they violated constitutional freedoms. On appeal by MoHFW, the Supreme Court allowed the rules to take effect. Continuing opposition by MoIB and the film industry weakened the rules and delayed implementation until 2012. As of 2020, rather than a ban, all films with tobacco imagery require strong editorial justification, 100 s of antitobacco messages produced by the MoHFW, and a static health warning at the bottom of screen during tobacco imagery display. In 2015, less than 48% of movies had tobacco imagery compared with 89% in 2005.

Conclusions

Although, not a ban, MoHFW, supported by local advocates and WHO, issued regulations that resulted in a substantial drop in on-screen tobacco imagery and increased exposure to antitobacco messages. India’s experience informs WHO Framework Convention on Tobacco Control parties as they develop and implement policies to curb tobacco imagery in entertainment media.
COVID-19, immunothrombosis and venous thromboembolism: biological mechanisms
Authors: Loo Joan , Spittle Daniella A , Newnham Michael
Published: January 2021

Thrombotic events that frequently occur in COVID-19 are predominantly venous thromboemboli (VTE) and are associated with increasing disease severity and worse clinical outcomes. Distinctive microvascular abnormalities in COVID-19 include endothelial inflammation, disruption of intercellular junctions and microthrombi formation. A distinct COVID-19-associated coagulopathy along with increased cytokines and activation of platelets, endothelium and complement occur in COVID-19, which is more frequent with worsening disease severity. This proinflammatory milieu may result in immunothrombosis, a host defence mechanism that can become dysregulated, leading to excess formation of immunologically mediated thrombi which predominantly affect the microvasculature. The haemostatic and immune systems are intricately linked, and multifactorial processes are likely to contribute to VTE and immunothrombosis in COVID-19. This state-of-the-art review will explore the pathobiological mechanisms of immunothrombosis and VTE in COVID-19 focusing on: COVID-19-associated coagulopathy, pathology, endothelial dysfunction and haemostasis, the immune system and thrombosis, genetic associations and additional thrombotic mechanisms. An understanding of the complex interplay between these processes is necessary for developing and assessing how new treatments affect VTE and immunothrombosis in COVID-19.
Contemporaneous trajectories of physical activity and screen time in adolescents
Authors: Riglea Teodora , Doré Isabelle , O’Loughlin Jennifer , Bélanger Mathieu , Sylvestre Marie-Pierre
Published: January 2021

Adolescents often report low moderate-to-vigorous physical activity (MVPA) and high screen time. We modeled sex-specific MVPA and screen time trajectories during adolescence and identified contemporaneous patterns of evolution. Data were drawn from 2 longitudinal investigations. The Nicotine Dependence in Teens (NDIT) study included 1294 adolescents recruited at age 12–13 years who completed questionnaires every 3 months for 5 years. The Monitoring Activities of Teenagers to Comprehend their Habits (MATCH) study included 937 participants recruited at age 9–12 years who completed questionnaires every 4 months for 7 years. MVPA was measured as the number of days per week of being active for at least 5 min (NDIT) or 60 min (MATCH). In both studies, screen time was measured as the number of hours spent weekly in screen activities. In each study, sex-specific group-based trajectories were modeled separately for MVPA and screen time from grade 7 to 11. Contemporaneous patterns of evolution were examined in mosaic plots. In both studies, 5 MVPA trajectories were identified in both sexes, and 4 and 5 screen time trajectories were identified in boys and girls, respectively. All combinations of MVPA and screen time trajectories were observed. However, the contemporaneous patterns of evolution were favourable in 14%–31% of participants (i.e., they were members of the stable high MVPA and the lower screen time trajectories).

Novelty: MVPA and screen time trajectories during adolescence and their combinations showed wide variability in 2 Canadian studies. Up to 31% of participants showed favourable contemporaneous patterns of evolution in MVPA and screen time. Using uniform methods for trajectory modeling may increase the potential for replication across studies.
Extreme Weather and Climate Change: Population Health and Health System Implications
Authors: Ebi Kristie L. , Vanos Jennifer , Baldwin Jane W. , Bell Jesse E. , Hondula David M. , Errett Nicole A. , Hayes Katie , Reid Colleen E. , Saha Shubhayu , Spector June , Berry Peter
Published: January 2021

Extreme weather and climate events, such as heat waves, cyclones, and floods, are an expression of climate variability. These events and events influenced by climate change, such as wildfires, continue to cause significant human morbidity and mortality and adversely affect mental health and well-being. Although adverse health impacts from extreme events declined over the past few decades, climate change and more people moving into harm's way could alter this trend. Long-term changes to Earth's energy balance are increasing the frequency and intensity of many extreme events and the probability of compound events, with trends projected to accelerate under certain greenhouse gas emissions scenarios. While most of these events cannot be completely avoided, many of the health risks could be prevented through building climate-resilient health systems with improved risk reduction, preparation, response, and recovery. Conducting vulnerability and adaptation assessments and developing health system adaptation plans can identify priority actions to effectively reduce risks, such as disaster risk management and more resilient infrastructure. The risks are urgent, so action is needed now.
Synthesis and Electrochemical Performance Analysis of LiNiO2 Cathode Material Using Taylor-Couette Flow-Type Co-Precipitation Method
Authors: Heo Kookjin , Lee Jongkwan , Song Young-Woong , Kim Min-Young , Jeong Hyejeong , DoCheon Ahn , Jaekook Kim , Lim Jinsub
Published: January 2021

A LiNiO2 cathode material with a layered structure and a high capacity was synthesized by co-precipitation with Taylor−Couette flow. Taylor−Couette flow is caused by the rotation of an inner cylinder in a device consisting of two concentric shaft cylinders. A regular donut-shaped vortex is developed above a certain rotational speed of the inner cylinder. Ni(OH)2 precursors synthesized by co-precipitation with the Taylor–Couette flow were sintered at 600 °C, 650 °C, 700 °C, and 750 °C. The LiNiO2 cathode material synthesized at 700 °C exhibited the highest discharge capacity of 233 mAh g−1. It was confirmed that the cyclability and rate performance of the LiNiO2 cathode material improved at other sintering temperatures.
AICAR and compound C negatively modulate HCC-induced primary human hepatic stellate cell activation in vitro
Authors: Böttcher Katrin , Longato Lisa , Marrone Giusi , Mazza Giuseppe , Ghemtio Leo , Hall Andrew , Luong Tu Vinh , Caruso Stefano , Viollet Benoit , Zucman-Rossi Jessica , Pinzani Massimo , Rombouts Krista
Published: January 2021

HCC is marked by genetic heterogeneity and activated hepatic stellate cells (HSC) are considered key players during HCC development. The paracrine effect of different HCC cell lines on the activation of primary hHSC was accompanied by differential AMPK activation depending on the HCC line used. Pharmacological treatment inhibited the HCC-induced hHSC activation through AMPK-dependent and AMPK-independent mechanisms. This heterogenic effect on HCC-induced AMPK activation was confirmed by data mining TCGA and LICA-FR databases.
The role of butyrate in surgical and oncological outcomes in colorectal cancer
Authors: Hajjar Roy , Richard Carole S. , Santos Manuela M.
Published: January 2021

Butyrate is a short-chain fatty acid produced by colonic gut bacteria as a result of fermentation of dietary fibers. In the colon, butyrate is a major energy substrate and contributes to the nutritional support and proliferation of a healthy mucosa. It also promotes the intestinal barrier function by enhancing mucus production and tight junctions. In addition to its pro-proliferative effect in healthy colonocytes, butyrate inhibits the proliferation of cancer cells. The antineoplastic effect of butyrate is associated with the inhibitory effect of butyrate on histone deacetylase (HDAC) enzymes, which promote carcinogenesis. Due to the metabolic shift of cancer cells toward glycolysis, unused butyrate accumulates and inhibits procarcinogenic HDACs. In addition, recent studies suggest that butyrate may improve the healing of colonic tissue after surgery in animal models, specifically at the site of reconnection of colonic ends, anastomosis, after surgical resection. Here, we review current evidence on the impact of butyrate on epithelial integrity and colorectal cancer and present current knowledge on data that support its potential applications in surgical practice.
What transcranial direct current stimulation intensity is best for cognitive enhancement?
Authors: Smucny Jason
Published: January 2021

In a recent study published in The Journal of Neurophysiology, Ehrardt et al. (Ehrhardt SE, Filmer HL, Wards Y, Mattingley JB, Dux PE. J Neurophysiol 125: 385–397, 2021) report that moderate intensity (1 mA/25 cm2) transcranial direct current stimulation (tDCS) is optimal for improving performance on a stimulus-response matching task, as opposed to a lower 0.7 mA/25 cm2 or higher 2 mA/25 cm2 dose. This result suggests that behavioral effects of tDCS do not follow a linear dose-response curve. Potential neurobiological and neurocognitive implications of these findings, as well as suggested directions for future research, are discussed.
Evolution Mechanism of Advanced Equipment Manufacturing Innovation Network Structure from the Perspective of Complex System
Authors: Wang Jianbo , Cao Xing
Published: January 2021

Our country’s equipment manufacturing industry ranks among the best in all developing countries, but compared with developed countries, there is still a long way to go. It is not only the backwardness of various technologies, but also the interference of other countries. Although our country′s equipment manufacturing industry is not as advanced as the advanced technology of developed countries, we still have to stick to our original aspirations, do not underestimate ourselves, and be good at absorbing and learning from the strengths of others to make up for our own weaknesses. While not working behind closed doors and while absorbing technology from other countries, we can make use of our strengths to make up for our weaknesses and develop our own industrial technology. This paper studies the evolution trend of innovation network structure and at the same time studies the evolution mechanism of advanced equipment manufacturing innovation network structure from the perspective of complex systems. The explained variable in this article is green total factor productivity. The variable adopts the Malmquist–Luenberger global super‐efficiency index model. There are two main explanatory variables. One is the heterogeneity that affects the efficiency of industrial evolution, including factor heterogeneity, structural heterogeneity, and environmental heterogeneity, and the other is the interaction term of equipment manufacturing specialization agglomeration degree dummy variable multiplied by factor heterogeneity. The regional economic development level is added to the model as a control variable. In the selection of measurement indicators, the per capita GDP is used as the control variable. The experimental results show that each sample is tested in pairs, and the standard error level of the mean is 0.018, which is less than 0.05, indicating that the efficiency of the equipment manufacturing industry’s economic correlation spatial network has a significant impact on the overall economic development level of the industry. The reduction in spur helps to increase economic output.
Pore-Scale Modelling of Three-Phase Capillary Pressure Curves Directly in Uniformly Wet Rock Images
Authors: Zhou Yingfang , Hatzignatiou Dimitrios Georgios , Helland Johan Olav , Zhao Yulong , Cai Jianchao
Published: January 2021

In this work, we developed a semianalytical model to compute three-phase capillary pressure curves and associated fluid configurations for gas invasion in uniformly wet rock images. The fluid configurations and favorable capillary entry pressures are determined based on free energy minimization by combining all physically allowed three-phase arc menisci. The model was first validated against analytical solutions developed in a star-shaped pore space and subsequently employed on an SEM image of Bentheim sandstone. The simulated fluid configurations show similar oil-layer behavior as previously imaged three-phase fluid configurations. The simulated saturation path indicates that the oil-water capillary pressure can be described as a function of the water saturation only. The gas-oil capillary pressure can be represented as a function of gas saturation in the majority part of the three-phase region, while the three-phase displacements slightly reduce the accuracy of such representation. At small oil saturations, the gas-oil capillary pressure depends strongly on two-phase saturations.
Preparation and Characterization of Double-Layered Microcapsules Containing Nano-SiO2
Authors: Sun Xue , Su Jingcheng , Zhang Rui , Fan Fangyu
Published: January 2021

The double-layered microencapsulation technology has been used in many fields. In this study, the double-layered microencapsulated anthocyanin of Passiflora edulis shells (APESs) was prepared via complex coacervation using gelatin and gum Arabic as the first wall materials (single-layered microcapsules (SMs)) and using gum Arabic containing nano-SiO2 as the second wall material (double-layered microcapsules (DMs)/nano-SiO2) to enhance the stability of the core material. Properties of microcapsules were analyzed on the basis of EE, morphology, scanning electron microscopy (SEM), droplet size, moisture content, and differential scanning calorimetry (DSC). The results showed that the EE values of SMs, DMs, and DMs/nano-SiO2 were 96.12%, 97.24%, and 97.85%, respectively. DMs/nano-SiO2 had the lowest moisture content (2.17%). The average droplet size of DMs/nano-SiO2 (34.93 μm) was higher than those of SMs and DMs. DSC indicated that the melting temperature of DMs/nano-SiO2 was 73.61°C and 45.33°C higher than those of SMs and DMs, respectively. SEM demonstrated that DMs/nano-SiO2 had the smoothest surface compared with the other two kinds of microcapsules. The storage stability of APESs and their microcapsules indicated that the stability of the microcapsules was improved by adding DMs/nano-SiO2 into the wall material of microcapsules. These results indicated double-layered microcapsules containing silica nanoparticles contribute to the stability of the core material.
A Markov Chain Position Prediction Model Based on Multidimensional Correction
Authors: Chen Sijia , Zhang Jian , Meng Fanwei , Wang Dini
Published: January 2021

User location prediction in location‐based social networks can predict the density of people flow well in terms of intelligent transportation, which can make corresponding adjustments in time to make traffic smooth, reduce fuel consumption, reduce greenhouse gas emissions, and help build a green cycle low‐carbon transportation green system. This paper proposes a Markov chain position prediction model based on multidimensional correction (MDC‐MCM). Firstly, extract corresponding information from the user’s historical check‐in position sequence as a position‐position conversion map. Secondly, the influence of check‐in period, space distance, and other factors on the position prediction is linearly weighted and merged with the position prediction of the n‐order Markov chain to construct MDC‐MCM. Finally, we conduct a comprehensive performance evaluation of MDC‐MCM using the dataset collected from Brightkite. Experimental results show that compared with other advanced location prediction technologies, MDC‐MCM achieves better location prediction results.
Joint Pricing and Inventory Control Decisions for Fashion Apparel with Considering Fashion Level and Partial Backlogging
Authors: Zhou Lili , Chen Qi , Xu Qi
Published: January 2021

Apparel inventories have been crawling up for decades. The fashion level of clothing drops over time, resulting in a continuous decline in market value, a rapid reduction in demand, and unsold inventory. Poor inventory management weighs down the apparel industry. Inventory planning decisions are crucial for a fashion apparel retailer. When the good is highly perishable, the retailer may need to backlog demand in order to market the good at a reasonable price and reduce inventory costs. This study formulates a finite horizon inventory model for fashion apparel under deteriorating fashion level and partial backlogging conditions. This model jointly optimizes the selling price, length of inventory-holding period, and length of shortage period by maximizing the average profit. The conditions that characterize the optimal solution are established and an algorithm is proposed to search for the optimal solutions. A numerical example is provided to illustrate the algorithm and the solution procedure. Furthermore, sensitivity analysis of the key system parameters is carried out and some interesting managerial insights are presented. Findings clearly suggest that the presence of shortage has got an affirmative effect on ordering policy of the fashion apparel retailer.
Risk Measurement Method of Collusion Privilege Escalation Attacks for Android Apps Based on Feature Weight and Behavior Determination
Authors: Li Hui , Shen Limin , Wang Yuying , Feng Jiayin , Tan Honglei , Li Zhiming
Published: January 2021

To solve the issue of measuring the risk of the application-layer collusion privilege escalation attacks in Android apps, this paper proposed a risk measurement method based on the feature weight and behavior determination. Analytic hierarchy process (AHP) is used to calculate the weight of feature in the feature set extracted from the app. App behavior and attack behavior are modeled by process algebra. The weak equivalent and nonequivalent are introduced to determine the behavior of apps, whereas the measurement function is constructed to calculate the app risk measurement value. In an experiment with three known apps, the measurement values are 0.629, 1, and 0.976. These results are consistent with reality, and the effectiveness and feasibility of the proposed method are verified. Through the benchmark and test set experiments, it can be seen that the measurement value of apps that has weak equivalent to attack behavior is distributed between 0.0468 and 1, and the measurement value distribution is reasonable, which verifies the accuracy and rationality of the method.
Optimal distributed decision in wireless sensor network using gray wolf optimization
Authors: Saleh Ibrahim Ahmed , Alsaif Omar Ibrahim , Yahya Maan A.
Published: January 2021

The distributed object decision (DOD) was applied to choose a single solution for problem among many complexes solutions. Most of DOD systems depend on traditional technique like small form factor optical (SFFO) method and scalable and oriented fast-based local features (SOFF) method. These two methods were statistically complex and depended to an initial value. In this paper proposed new optimal technical called gray wolf optimization (GWO) which is used to determine threshold of sensor decision rules from fusion center. The new algorithm gave better performance for fusion rule than numerical results. The results are providing to demonstrate of fusion system reduced of bayes risk by a high rate of 15%-20%. This algorithm also does not depend on the initial values and shows the degree of complexity is better than other algorithms.
Machine learning algorithms for fall detection using kinematic and heart rate parameters-a comprehensive analysis
Authors: Ramachandran Anita , Ramesh Adarsh , Sukhlecha Aditya , Pandey Avtansh , Karuppiah Anupama
Published: January 2021

The application of machine learning techniques to detect and classify falls is a prominent area of research in the domain of intelligent assisted living systems. Machine learning (ML) based solutions for fall detection systems built on wearable devices use various sources of information such inertial motion units (IMU), vital signs, acoustic or channel state information parameters. Most existing research rely on only one of these sources; however, a need to do more experimenation to observe the efficiency of the ML classifiers while coupling features from diverse sources, was felt. In addition, fall detection systems based on wearable devices, require intelligent feature engineering and selection for dimensionality reduction, so as to reduce the computational complexity of the devices. In this paper we do a comprehensive performance analysis of ML classifiers for fall detection, on a dataset we collected. The analysis includes the impact of the following aspects on the performance of ML classifiers for fall detection: (i) using a combination of features from 2 sensors-an IMU sensor and a heart rate sensor, (ii) feature engineering and feature selection based on statistical methods, and (iii) using ensemble techniques for fall detection. We find that the inclusion of heart rate along with IMU sensor parameters improves the accuracy of fall detection. The conclusions from our experimentations on feature selection and ensemble analysis can serve as inputs for researchers designing wearable device-based fall detection systems.
Fuzzy encoding with hybrid pooling for visual dictionary in food recognition
Authors: Norhisham Razali Mohd , Manshor Noridayu , Abdul Halin Alfian , Mustapha Norwati , Yaakob Razali
Published: January 2021

Tremendous number of f food images in the social media services can be exploited by using food recognition for healthcare benefits and food industry marketing. The main challenges in food recognition are the large variability of food appearance that often generates a highly diverse and ambiguous descriptions of local feature. Ironically, the ambiguous descriptions of local feature have triggered information loss in visual dictionary constructions from the hard assignment practices. The current method based on hard assignment and Fisher vector approach to construct visual dictionary have unexpectedly cause errors from the uncertainty problem during visual word assignation. This research proposes a method of combination in soft assignment technique by using fuzzy encoding approach and maximum pooling technique to aggregate the features to produce a highly discriminative and robust visual dictionary across various local features and machine learning classifiers. The local features by using MSER detector with SURF descriptor was encoded by using fuzzy encoding approach. Support vector machine (SVM) with linear kernel was employed to evaluate the effect of fuzzy encoding. The results of the experiments have demonstrated a noteworthy classification performance of fuzzy encoding approach compared to the traditional approach based on hard assignment and Fisher vector technique. The effects of uncertainty and plausibility were minimized along with more discriminative and compact visual dictionary representation.
Lightweight route adjustment strategy for mobile sink wireless sensor networks
Authors: Basil Ghazi Ahmed , Adil Mahdi Omar , Badee Abdulaziz Wid
Published: January 2021

As a result of numerous applications and low installation costs, wireless sensor networks (WSNs) have expanded excessively. The main concern in the WSN environment is to lower energy consumption amidst nodes while preserving an acceptable level of service quality. Using multi-mobile sinks to reduce the nodes' energy consumption have been considered as an efficient strategy. In such networks, the dynamic network topology created by the sinks mobility makes it a challenging task to deliver the data to the sinks. Thus, in order to provide efficient data dissemination, the sensor nodes will have to readjust the routes to the current position of the mobile sinks. The route re-adjustment process could result in a significant maximization in the communication cost, which boosts the total energy depletion. This paper proposes a lightweight routes re-adjustment strategy for mobile sink wireless sensor networks (LRAS-MS) aimed at minimizing communication cost and energy consumption by reducing route re-adjustment in a cluster-based WSN environment. The simulation results show a significant reduction in communication costs and extending the network lifetime while maintaining comparable low data delivery delay. 
Quality of agile adoption in global software development: An assessment model
Authors: Afshari Mahnaz , Javdani Gandomani Taghi
Published: January 2021

Over the last decade, software development has faced two approaches to Agile and global software development (GSD). While Agile development is focused on the reduction of software development overhead by reducing the distance between individuals and face-to-face communications, in global software development, the use of human power in various sites is considered. Despite their inherent differences, the combination of these two approaches has received considerable attention from researchers and software professionals. Meanwhile, the lack of a model or tool capable of assessing teams' adaptation to Agile methods seems to be a research gap. The current research aims to solve this challenge by proposing a model in this regard. Considering the major related factors and weighting them, this model allows software teams to assess the rate of their adaptation and success in global software development.
Deep learning based static hand gesture recognition
Authors: Satybaldina Dina , Kalymova Gulzia
Published: January 2021

Hand gesture recognition becomes a popular topic of deep learning and provides many application fields for bridging the human–computer barrier and has a positive impact on our daily life. The primary idea of our project is a static gesture acquisition from depth camera and to process the input images to train the deep convolutional neural network pre-trained on ImageNet dataset. Proposed system consists of gesture capture device (Intel® RealSense™ depth camera D435), pre-processing and image segmentation algorithms, feature extraction algorithm and object classification. For pre-processing and image segmentation algorithms computer vision methods from the OpenCV and Intel Real Sense libraries are used. The subsystem for features extracting and gestures classification is based on the modified VGG-16 by using the TensorFlow&Keras deep learning framework. Performance of the static gestures recognition system is evaluated using maching learning metrics. Experimental results show that the proposed model, trained on a database of 2000 images, provides high recognition accuracy both at the training and testing stages.