bluuebunny/crossref_metadata_2025 huggingface dataset:
Distribution of T-2 toxin and HT-2 toxin during experimental feeding of yellow mealworm (Tenebrio molitor)
Authors: Piacenza Nicolo , Kaltner Florian , Maul Ronald , Gareis Manfred , Schwaiger Karin , Gottschalk Christoph
Published: September 2020

Within the European Union (EU), edible insects need to be approved as “Novel Food” according to Regulation (EU) 2015/2283 and must comply with the requirements of European food law with regard to microbiological and chemical food safety. Substrates used for feeding insects are susceptible to the growth of Fusarium spp. and consequently to contamination with trichothecene mycotoxins. Therefore, the current study aimed to investigate the influence of T-2 and HT-2 toxins on the larval life cycle of yellow mealworm (Tenebrio molitor (L.)) and to study the transfer of T-2, HT-2, T-2 triol and T-2 tetraol in the larvae. In a 4-week feeding study, T. molitor larvae were kept either on naturally (oat flakes moulded with Fusarium sporotrichioides) or artificially contaminated oat flakes, each at two levels (approximately 100 and 250 μg/kg total T-2 and HT-2). Weight gain and survival rates were monitored, and mycotoxins in the feeding substrates, larvae and residues were determined using LC-MS/MS. Larval development varied between the diets and was 44% higher for larvae fed artificially contaminated diets. However, the artificially contaminated diets had a 16% lower survival rate. No trichothecenes were detected in the surviving larvae after harvest, but T-2 and HT-2 were found both in the dead larvae and in the residues of naturally and artificially contaminated diets.
Hausbesuche im Kindes- und Erwachsenenschutz in der Schweiz – eine qualitative Studie
Authors: Koch Martina , Steffen Markus , Bühler Rahel
Published: September 2020

In dieser Forschungsnotiz wird ein laufendes Forschungsprojekt vorgestellt, das Hausbesuche im Kindes- und Erwachsenenschutz in verschiedenen Regionen der deutschsprachigen Schweiz untersucht. Für zwei Zeiträume (1960 bis 1980; 2000 bis 2020) wird rekonstruiert, aufgrund welcher fachlichen Überlegungen Hausbesuche bei Abklärungen von Gefährdungen im Kindes- und Erwachsenenschutz in Auftrag gegeben wurden/werden, wie sie abliefen/ablaufen, welches Wissen dabei produziert wurde/wird und wie dieses Wissen anschliessend prozessiert und entscheidungsrelevant gemacht wurde/wird. Die Untersuchung basiert auf einer qualitativen Analyse von Personenakten sowie auf einer Interviewstudie mit Fachkräften und von behördlichen Hausbesuchen betroffenen Menschen. Weiter werden teilnehmende Beobachtungen von Hausbesuchen durchgeführt.
Evaluation of Drug Abuse in Patients With Lifelong Premature Ejaculation: A Cross-Sectional Study
Authors: Mohammed Soheir A. , Abdelhamed Amr , El Sayed Reda M.
Published: September 2020

Introduction

Most studies investigate sexual dysfunction in drug abusers; however, there are no data available about the pattern of drug abuse in patients with lifelong premature ejaculation (PE).

Aim

To assess the pattern of drug abuse in patients with lifelong PE and to evaluate its potential effect on their hormonal profile.

Methods

A cross-sectional study included patients with lifelong PE (n = 76) with no prescribed medications for 1 month and age-matched control without PE (n = 48). Participants were evaluated by history, examination, Arabic index of PE, and hormonal profile. A urine sample was screened by dipstick kits for the following drug abuse tramadol, opiate, tetrahydrocannabinol (cannabis), amphetamine, barbiturate, cocaine, and benzodiazepines. Positive results were confirmed with a immunoassay drug analyzer.

Main outcome measures

The outcomes of this study are positive and negative drug abuse and hormonal profile changes.

Results

Control patients and patients with PE showed median (interquartile range) of age 43 (33–46.8) and 38.5 (31–45) years, respectively. Drug abuse testing results showed significantly high positive drug abuse in patients with PE, 26 of 76 (34.2%), in comparison with control, 9 of 48 (19.1%) (P = .05). The most commonly abused drug was tetrahydrocannabinol in control, 3 of 9 (33.3%), and tramadol, 12 of 26 (46.2%), in patients with PE. Control patients and patients with PE with positive drug abuse had significantly higher smoking percent (P < .0001) and higher positive drug abuse history (P < .0001). However, there was no relationship between drug abuse and PE severity, and there were no significant changes in their hormonal profile.

Conclusions

Drug abuse is high among patients with lifelong PE in Upper Egypt, with tramadol being the comment drug. Drug abuse is common among smokers. However, no hormonal disturbance could be shown in drug abuse patients. Drug abuse might be considered in the evaluation of patients with PE.

Mohammed SA, Abdelhamed A, El Sayed RM. Evaluation of Drug Abuse in Patients With Lifelong Premature Ejaculation: A Cross-Sectional Study. Sex Med 2020;8:608–614.
Walls, Cages, and Family Separation
Authors: Wallace Sophia Jordán , Zepeda-Millán Chris
Published: September 2020

US immigration policy has deeply racist roots. From his rhetoric to his policies, President Donald Trump has continued this tradition, most notoriously through his border wall, migrant family separation, and child detention measures. But who exactly supports these practices and what factors drive their opinions? Our research reveals that racial attitudes are fundamental to understanding who backs the president's most punitive immigration policies. We find that whites who feel culturally threatened by Latinos, who harbor racially resentful sentiments, and who fear a future in which the United States will be a majority–minority country, are among the most likely to support Trump's actions on immigration. We argue that while the President's policies are unpopular with the majority of Americans, Trump has grounded his political agenda and 2020 reelection bid on his ability to politically mobilize the most racially conservative segment of whites who back his draconian immigration enforcement measures.
Projections of H-mode access and edge pedestal in the SPARC tokamak
Authors: Hughes J. W. , Howard N. T. , Rodriguez-Fernandez P. , Creely A. J. , Kuang A. Q. , Snyder P. B. , Wilks T. M. , Sweeney R. , Greenwald M.
Published: September 2020

In order to inform core performance projections and divertor design, the baseline SPARC tokamak plasma discharge is evaluated for its expected H-mode access, pedestal pressure and edge-localized mode (ELM) characteristics. A clear window for H-mode access is predicted for full field DT plasmas, with the available 25 MW of design auxiliary power. Additional alpha heating is likely needed for H-mode sustainment. Pressure pedestal predictions in the developed H-mode are surveyed using the EPED model. The projected SPARC pedestal would be limited dominantly by peeling modes and may achieve pressures in excess of 0.3 MPa at a density of approximately 3 × 1020m−3. High pedestal pressure is partially enabled by strong equilibrium shaping, which has been increased as part of recent design iterations. Edge-localized modes (ELMs) with >1 MJ of energy are projected, and approaches for reducing the ELM size, and thus the peak energy fluence to divertor surfaces, are under consideration. The high pedestal predicted for SPARC provides ample margin to satisfy its high fusion gain (Q) mission, so that even if ELM mitigation techniques result in a 2× reduction of the pedestal pressure,Q> 2 is still predicted.
Older women using women's magazines: the construction of knowledgeable selves
Authors: Sawchuk Dana , Ly Mina
Published: September 2020

Women's magazines are widely read in Canada. The popularity of such magazines is significant because critical gerontologists, primarily drawing on content analyses of the magazines, often argue that these publications convey problematic messages about ageing. This article broaches the subject of women's magazines and ageing from a different vantage point, that of the older woman reader herself. This audience-centred research draws on 21 semi-structured interviews with Canadian women over the age of 55. The study examines what older women say about the ageing-related content of women's magazines, along with what they say about how, when and why they read these magazines. Findings illustrate that participants are aware of the inadequate and unrealistic representations of older women in women's magazines. Nonetheless, they value the publications as a source of practical information on a variety of topics and as a light and undemanding source of entertainment and relaxation. The study reveals how participants assess and deploy magazine contents and characteristics in ways that contribute to, and are informed by, their lives and identities as older women. Against the broader cultural context of ageism, using and talking about women's magazines enables the participants to position themselves as knowledgeable and informed on a variety of topics and in multiple interactions, both in explicit reference to the magazines themselves and more generally in their lives.
A Persistent Deep Anticyclonic Vortex in the Rockall Trough Sustained by Anticyclonic Vortices Shed From the Slope Current and Wintertime Convection
Authors: Smilenova Angelina , Gula Jonathan , Le Corre Mathieu , Houpert Loïc , Reecht Yves
Published: September 2020

The presence of a persistent surface anticyclone centered at approximately 55°N, 12°W in the Rockall Trough, northeast North Atlantic, has been previously noted in satellite altimetry data. Here, we show that this surface anticyclone is the imprint of a deep, persistent, non‐stationary anticyclonic vortex. Using wintertime 2007 and 2011 ship‐board data, we describe the anticyclone's vertical structure for the first time and find that the anticyclone core is partly made of warm and salty Mediterranean Overflow Water. The anticyclone has a radius of ~40 km, it stretches down to 2,000 m, with a velocity maximum around 500 m. To analyze the anticyclone's generating mechanism, we use a mesoscale‐resolving (~2 km) simulation, which produces a realistic pattern of the Rockall Trough anticyclone. The simulation indicates that the anticyclone is locally formed and sustained by two types of processes: wintertime convection and merger with anticyclonic vortices shed from the slope current flowing poleward along the eastern Rockall Trough slope. Intense negative vorticity filaments are generated along the Rockall Trough south‐eastern slope, and they encapsulate Mediterranean Overflow Water as they detach and grow into anticyclonic vortices. These Mediterranean Overflow Water‐rich vortices are advected into the trough, consequently merging with the Rockall Trough anticyclone and sustaining it. We suggest that the Rockall Trough anticyclone impacts regional intermediate water masses modifications, heat and salt budgets locally, and further afield into the neighboring subpolar northeast North Atlantic.
Strong Inland Propagation of Low‐Frequency Long Waves in River Estuaries
Authors: Guo Leicheng , Zhu Chunyan , Wu Xuefeng , Wan Yuanyang , Jay David A. , Townend Ian , Wang Zheng Bing , He Qing
Published: September 2020

Tidal waves traveling into estuaries are modified by channel geometry and river flow. The damping effect of river flow on incident astronomical tides is well documented, whereas its impact on low‐frequency tides like MSf and Mm is poorly understood. In this contribution, we employ a numerical model to explore low‐frequency tidal behavior under varying river flow. MSf and Mm are locally generated by frictional mechanisms inside an estuary, and they are larger in amplitude far upstream in tidal rivers and persist landward of the point of tidal extinction. Increasing river flow nonlinearly modulates the longitudinal variations of MSf and Mm amplitudes. This is dynamically explained by flow‐enhanced asymmetry in subtidal friction over the spring‐neap (MSf) and perigee‐apogee (Mm) cycles, respectively. Estuaries act as frequency filters, where low‐frequency waves decay at a smaller rate and propagate more inland than high‐frequency waves. Strong inland penetration of low‐frequency tides informs compound flood management.
The Effects of Upper‐Hybrid Waves on Energy Dissipation in the Electron Diffusion Region
Authors: Dokgo Kyunghwan , Hwang Kyoung‐Joo , Burch James L. , Yoon Peter H. , Graham Daniel B. , Li Wenya
Published: September 2020

Using a two‐dimensional particle‐in‐cell simulation, we investigate the effects and roles of upper‐hybrid waves (UHW) near the electron diffusion region (EDR). The energy dissipation via the wave‐particle interaction in our simulation agrees with J · E′ measured by magnetospheric multiscale (MMS) spacecraft. It means that UHW contributes to the local energy dissipation. As a result of wave‐particle interactions, plasma parameters which determine the larger‐scale energy dissipation in the EDR are changed. The y‐directional current decreases while the pressure tensor Pyz increases/decreases when the agyrotropic beam density is low/high, where (x, y, z)‐coordinates correspond the (L, M, N)‐boundary coordinates. Because the reconnection electric field comes from −∂Pyz/∂z, our result implies that UHW plays an additional role in affecting larger‐scale energy dissipation in the EDR by changing plasma parameters. We provide a simple diagram that shows how the UHW activities change the profiles of plasma parameters near the EDR comparing cases with and without UHW.
Shift Toward Intense and Widespread Precipitation Events Over the United States by Mid‐21st Century
Authors: Rastogi Deeksha , Touma Danielle , Evans Katherine J. , Ashfaq Moetasim
Published: September 2020

The United States has witnessed an increase in the frequency of intense and spatially widespread precipitation events in recent decades. Using a high‐resolution hybrid ensemble of regional climate simulations, we project further intensification of widespread extremes in the near future. The simulations cover 1966–2005 in the historical period and 2011–2050 in the future period under RCP8.5 scenario and show good correspondence with the observations in the historical period. The projected changes in the characteristics of precipitation events are associated with more frequent occurrence of extreme years where contribution from intense and widespread events to the annual precipitation is unprecedently high. While our findings are consistent with recent trends in the observations, they are in contrast to some earlier studies that project shrinking of precipitation events in the future period, which highlight the need for more rigorous investigations of changes in the spatial extent of precipitation in future climates.
Two-in-one strategy: a remineralizing and anti-adhesive coating against demineralized enamel
Authors: Hou Ailin , Luo Jun , Zhang Min , Li Jianshu , Chu Wenlin , Liang Kunneng , Yang Jiaojiao , Li Jiyao
Published: September 2020

Tooth enamel is prone to be attacked by injurious factors, leading to a de/remineralization imbalance. To repair demineralized enamel and prevent pulp inflammation caused by biofilm accumulation, measures are needed to promote remineralization and inhibit bacterial adhesion on the tooth surface. An innovative material, poly (aspartic acid)-polyethylene glycol (PASP-PEG), was designed and synthesized to construct a mineralizing and anti-adhesive surface that could be applied to repair demineralized enamel. A cytotoxicity assay revealed the low cytotoxicity of synthesized PASP-PEG. Adsorption results demonstrated that PASP-PEG possesses a high binding affinity to the hydroxyapatite (HA)/tooth surface. In vitro experiments and scanning electron microscopy (SEM) demonstrated a strong capacity of PASP-PEG to induce in situ remineralization and direct the oriented growth of apatite nanocrystals. Energy dispersive X-ray spectroscopy (EDS), X-ray diffraction analysis (XRD) and Vickers hardness tests demonstrated that minerals induced by PASP-PEG were consistent with healthy enamel in Ca/P ratio, crystal form and surface micro-hardness. Contact angle tests and bacterial adhesion experiments demonstrated that PASP-PEG yielded a strong anti-adhesive effect. In summary, PASP-PEG could achieve dual effects for enamel repair and anti-adhesion of bacteria, thereby widening its application in enamel repair.
TRIM29 inhibits miR-873-5P biogenesis via CYTOR to upregulate fibronectin 1 and promotes invasion of papillary thyroid cancer cells
Authors: Wu Tong , Zhang Da-Lin , Wang Jia-Mei , Jiang Jing-Yi , Du Xin , Zeng Xiao-Yan , Du Zhen-Xian
Published: September 2020

Papillary thyroid cancer (PTC) is the most common endocrine tumor with an increasing incidence, has a strong propensity for neck lymph node metastasis. Limited treatment options are available for patients with advanced or recurrent metastatic disease, resulting in a poor prognosis. Tripartite motif protein 29 (TRIM29) is dysregulated in various cancer and functions as oncogene or tumor suppressor in discrete cancers. In this study, we found that both TRIM29 and fibronectin 1 (FN1) were upregulated with positive correlation in PTC tissues. Neither overexpression nor downregulation of TRIM29 altered the proliferation of PTC cells significantly. Overexpression of TRIM29 significantly promotes, while knockdown of TRIM29 significantly decreases migration and invasion by regulating FN1 expression in PTC cells. In terms of mechanism, we found that TRIM29 altered the stability of FN1 mRNA via regulation of miR-873-5p expression. The current study also demonstrated that long non-coding RNA (LncRNA) CYTOR suppressed maturation of miR-873-5p via interaction with premiR-873, and TRIM29 decreased miR-873-5p via upregulation of CYTOR. This study suggests that involvement of TRIM29 in migration and invasion in PTC cells may reveal potential metastatic mechanism of PTC and represent a novel therapeutic target and strategy.
A defined N6-methyladenosine (m6A) profile conferred by METTL3 regulates muscle stem cell/myoblast state transitions
Authors: Gheller Brandon J. , Blum Jamie E. , Fong Ern Hwei Hannah , Malysheva Olga V. , Cosgrove Benjamin D. , Thalacker-Mercer Anna E.
Published: September 2020

Muscle-specific adult stem cells (MuSCs) are required for skeletal muscle regeneration. To ensure efficient skeletal muscle regeneration after injury, MuSCs must undergo state transitions as they are activated from quiescence, give rise to a population of proliferating myoblasts, and continue either to terminal differentiation, to repair or replace damaged myofibers, or self-renewal to repopulate the quiescent population. Changes in MuSC/myoblast state are accompanied by dramatic shifts in their transcriptional profile. Previous reports in other adult stem cell systems have identified alterations in the most abundant internal mRNA modification, N6-methyladenosine (m6A), conferred by its active writer, METTL3, to regulate cell state transitions through alterations in the transcriptional profile of these cells. Our objective was to determine if m6A-modification deposition via METTL3 is a regulator of MuSC/myoblast state transitions in vitro and in vivo. Using liquid chromatography/mass spectrometry we identified that global m6A levels increase during the early stages of skeletal muscle regeneration, in vivo, and decline when C2C12 myoblasts transition from proliferation to differentiation, in vitro. Using m6A-specific RNA-sequencing (MeRIP-seq), a distinct profile of m6A-modification was identified, distinguishing proliferating from differentiating C2C12 myoblasts. RNAi studies show that reducing levels of METTL3, the active m6A methyltransferase, reduced global m6A levels and forced C2C12 myoblasts to prematurely differentiate. Reducing levels of METTL3 in primary mouse MuSCs prior to transplantation enhanced their engraftment capacity upon primary transplantation, however their capacity for serial transplantation was lost. In conclusion, METTL3 regulates m6A levels in MuSCs/myoblasts and controls the transition of MuSCs/myoblasts to different cell states. Furthermore, the first transcriptome wide map of m6A-modifications in proliferating and differentiating C2C12 myoblasts is provided and reveals a number of genes that may regulate MuSC/myoblast state transitions which had not been previously identified.
A transient enhancement of Mercury’s exosphere at extremely high altitudes inferred from pickup ions
Authors: Jasinski Jamie M. , Regoli Leonardo H. , Cassidy Timothy A. , Dewey Ryan M. , Raines Jim M. , Slavin James A. , Coates Andrew J. , Gershman Daniel J. , Nordheim Tom A. , Murphy Neil
Published: September 2020

Mercury has a global dayside exosphere, with measured densities of 10−2 cm−3 at ~1500 km. Here we report on the inferred enhancement of neutral densities (<102 cm−3) at high altitudes (~5300 km) by the MESSENGER spacecraft. Such high-altitude densities cannot be accounted for by the typical exosphere. This event was observed by the Fast-Imaging Plasma Spectrometer (FIPS), which detected heavy ions of planetary origin that were recently ionized, and “picked up” by the solar wind. We estimate that the neutral density required to produce the observed pickup ion fluxes is similar to typical exospheric densities found at ~700 km altitudes. We suggest that this event was most likely caused by a meteroid impact. Understanding meteoroid impacts is critical to understanding the source processes of the exosphere at Mercury, and the use of plasma spectrometers will be crucial for future observations with the Bepi-Colombo mission.
Thousands of reptile species threatened by under-regulated global trade
Authors: Marshall Benjamin M. , Strine Colin , Hughes Alice C.
Published: September 2020

Wildlife trade is a key driver of the biodiversity crisis. Unregulated, or under-regulated wildlife trade can lead to unsustainable exploitation of wild populations. International efforts to regulate wildlife mostly miss ‘lower-value’ species, such as those imported as pets, resulting in limited knowledge of trade in groups like reptiles. Here we generate a dataset on web-based private commercial trade of reptiles to highlight the scope of the global reptile trade. We find that over 35% of reptile species are traded online. Three quarters of this trade is in species that are not covered by international trade regulation. These species include numerous endangered or range-restricted species, especially hotspots within Asia. Approximately 90% of traded reptile species and half of traded individuals are captured from the wild. Exploitation can occur immediately after scientific description, leaving new endemic species especially vulnerable. Pronounced gaps in regulation imply trade is having unknown impacts on numerous threatened species. Gaps in monitoring demand a reconsideration of international reptile trade regulations. We suggest reversing the status-quo, requiring proof of sustainability before trade is permitted.
Coastal flooding will disproportionately impact people on river deltas
Authors: Edmonds Douglas A. , Caldwell Rebecca L. , Brondizio Eduardo S. , Siani Sacha M. O.
Published: September 2020

Climate change is intensifying tropical cyclones, accelerating sea-level rise, and increasing coastal flooding. River deltas are especially vulnerable to flooding because of their low elevations and densely populated cities. Yet, we do not know how many people live on deltas and their exposure to flooding. Using a new global dataset, we show that 339 million people lived on river deltas in 2017 and 89% of those people live in the same latitudinal zone as most tropical cyclone activity. We calculate that 41% (31 million) of the global population exposed to tropical cyclone flooding live on deltas, with 92% (28 million) in developing or least developed economies. Furthermore, 80% (25 million) live on sediment-starved deltas, which cannot naturally mitigate flooding through sediment deposition. Given that coastal flooding will only worsen, we must reframe this problem as one that will disproportionately impact people on river deltas, particularly in developing and least-developed economies.
Development of an ObLiGaRe Doxycycline Inducible Cas9 system for pre-clinical cancer drug discovery
Authors: Lundin Anders , Porritt Michelle J. , Jaiswal Himjyot , Seeliger Frank , Johansson Camilla , Bidar Abdel Wahad , Badertscher Lukas , Wimberger Sandra , Davies Emma J. , Hardaker Elizabeth , Martins Carla P. , James Emily , Admyre Therese , Taheri-Ghahfarokhi Amir , Bradley Jenna , Schantz Anna , Alaeimahabadi Babak , Clausen Maryam , Xu Xiufeng , Mayr Lorenz M. , Nitsch Roberto , Bohlooly-Y Mohammad , Barry Simon T. , Maresca Marcello
Published: September 2020

The CRISPR-Cas9 system has increased the speed and precision of genetic editing in cells and animals. However, model generation for drug development is still expensive and time-consuming, demanding more target flexibility and faster turnaround times with high reproducibility. The generation of a tightly controlled ObLiGaRe doxycycline inducible SpCas9 (ODInCas9) transgene and its use in targeted ObLiGaRe results in functional integration into both human and mouse cells culminating in the generation of the ODInCas9 mouse. Genomic editing can be performed in cells of various tissue origins without any detectable gene editing in the absence of doxycycline. Somatic in vivo editing can model non-small cell lung cancer (NSCLC) adenocarcinomas, enabling treatment studies to validate the efficacy of candidate drugs. The ODInCas9 mouse allows robust and tunable genome editing granting flexibility, speed and uniformity at less cost, leading to high throughput and practical preclinical in vivo therapeutic testing.
Homopolymer self-assembly of poly(propylene sulfone) hydrogels via dynamic noncovalent sulfone–sulfone bonding
Authors: Du Fanfan , Qiao Baofu , Nguyen Trung Dac , Vincent Michael P. , Bobbala Sharan , Yi Sijia , Lescott Chamille , Dravid Vinayak P. , Olvera de la Cruz Monica , Scott Evan Alexander
Published: September 2020

Natural biomolecules such as peptides and DNA can dynamically self-organize into diverse hierarchical structures. Mimicry of this homopolymer self-assembly using synthetic systems has remained limited but would be advantageous for the design of adaptive bio/nanomaterials. Here, we report both experiments and simulations on the dynamic network self-assembly and subsequent collapse of the synthetic homopolymer poly(propylene sulfone). The assembly is directed by dynamic noncovalent sulfone–sulfone bonds that are susceptible to solvent polarity. The hydration history, specified by the stepwise increase in water ratio within lower polarity water-miscible solvents like dimethylsulfoxide, controls the homopolymer assembly into crystalline frameworks or uniform nanostructured hydrogels of spherical, vesicular, or cylindrical morphologies. These electrostatic hydrogels have a high affinity for a wide range of organic solutes, achieving >95% encapsulation efficiency for hydrophilic small molecules and biologics. This system validates sulfone–sulfone bonding for dynamic self-assembly, presenting a robust platform for controllable gelation, nanofabrication, and molecular encapsulation.
Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming
Authors: Guo Xue , Gao Qun , Yuan Mengting , Wang Gangsheng , Zhou Xishu , Feng Jiajie , Shi Zhou , Hale Lauren , Wu Linwei , Zhou Aifen , Tian Renmao , Liu Feifei , Wu Bo , Chen Lijun , Jung Chang Gyo , Niu Shuli , Li Dejun , Xu Xia , Jiang Lifen , Escalas Arthur , Wu Liyou , He Zhili , Van Nostrand Joy D. , Ning Daliang , Liu Xueduan , Yang Yunfeng , Schuur Edward. A. G. , Konstantinidis Konstantinos T. , Cole James R. , Penton C. Ryan , Luo Yiqi , Tiedje James M. , Zhou Jizhong
Published: September 2020

Soil microbial respiration is an important source of uncertainty in projecting future climate and carbon (C) cycle feedbacks. However, its feedbacks to climate warming and underlying microbial mechanisms are still poorly understood. Here we show that the temperature sensitivity of soil microbial respiration (Q10) in a temperate grassland ecosystem persistently decreases by 12.0 ± 3.7% across 7 years of warming. Also, the shifts of microbial communities play critical roles in regulating thermal adaptation of soil respiration. Incorporating microbial functional gene abundance data into a microbially-enabled ecosystem model significantly improves the modeling performance of soil microbial respiration by 5–19%, and reduces model parametric uncertainty by 55–71%. In addition, modeling analyses show that the microbial thermal adaptation can lead to considerably less heterotrophic respiration (11.6 ± 7.5%), and hence less soil C loss. If such microbially mediated dampening effects occur generally across different spatial and temporal scales, the potential positive feedback of soil microbial respiration in response to climate warming may be less than previously predicted.
Author Correction: Relative configuration of micrograms of natural compounds using proton residual chemical shift anisotropy
Authors: Nath Nilamoni , Fuentes-Monteverde Juan Carlos , Pech-Puch Dawrin , Rodríguez Jaime , Jiménez Carlos , Noll Markus , Kreiter Alexander , Reggelin Michael , Navarro-Vázquez Armando , Griesinger Christian
Published: September 2020

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Quantitative analysis of global protein stability rates in tissues
Authors: McClatchy Daniel B. , Martínez-Bartolomé Salvador , Gao Yu , Lavallée-Adam Mathieu , Yates John R.
Published: September 2020

Protein degradation is an essential mechanism for maintaining proteostasis in response to internal and external perturbations. Disruption of this process is implicated in many human diseases. We present a new technique, QUAD (Quantification of Azidohomoalanine Degradation), to analyze the global degradation rates in tissues using a non-canonical amino acid and mass spectrometry. QUAD analysis reveals that protein stability varied within tissues, but discernible trends in the data suggest that cellular environment is a major factor dictating stability. Within a tissue, different organelles and protein functions were enriched with different stability patterns. QUAD analysis demonstrated that protein stability is enhanced with age in the brain but not in the liver. Overall, QUAD allows the first global quantitation of protein stability rates in tissues, which will allow new insights and hypotheses in basic and translational research.
A lectin-coupled porous silicon-based biosensor: label-free optical detection of bacteria in a real-time mode
Authors: Yaghoubi Mona , Rahimi Fereshteh , Negahdari Babak , Rezayan Ali Hossein , Shafiekhani Azizollah
Published: September 2020

Accuracy and speed of detection, along with technical and instrumental simplicity, are indispensable for the bacterial detection methods. Porous silicon (PSi) has unique optical and chemical properties which makes it a good candidate for biosensing applications. On the other hand, lectins have specific carbohydrate-binding properties and are inexpensive compared to popular antibodies. We propose a lectin-conjugated PSi-based biosensor for label-free and real-time detection of Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) by reflectometric interference Fourier transform spectroscopy (RIFTS). We modified meso-PSiO2 (10–40 nm pore diameter) with three lectins of ConA (Concanavalin A), WGA (Wheat Germ Agglutinin), and UEA (Ulex europaeus agglutinin) with various carbohydrate specificities, as bioreceptor. The results showed that ConA and WGA have the highest binding affinity for E. coli and S. aureus respectively and hence can effectively detect them. This was confirmed by 6.8% and 7.8% decrease in peak amplitude of fast Fourier transform (FFT) spectra (at 105 cells mL−1 concentration). A limit of detection (LOD) of about 103 cells mL−1 and a linear response range of 103 to 105 cells mL−1 were observed for both ConA-E. coli and WGA-S. aureus interaction platforms that are comparable to the other reports in the literature. Dissimilar response patterns among lectins can be attributed to the different bacterial cell wall structures. Further assessments were carried out by applying the biosensor for the detection of Klebsiella aerogenes and Bacillus subtilis bacteria. The overall obtained results reinforced the conjecture that the WGA and ConA have a stronger interaction with Gram-positive and Gram-negative bacteria, respectively. Therefore, it seems that specific lectins can be suggested for bacterial Gram-typing or even serotyping. These observations were confirmed by the principal component analysis (PCA) model.
A data-driven methodology to discover similarities between cocaine samples
Authors: Cascini Fidelia , De Giovanni Nadia , Inserra Ilaria , Santaroni Federico , Laura Luigi
Published: September 2020

Machine learning has been used for distinct purposes in the science field but no applications on illegal drug have been done before. This study proposes a new web-based system for cocaine classification, profiling relations and comparison, that is capable of producing meaningful output based on a large amount of chemical profiling’s data. In particular, the Profiling Relations In Drug trafficking in Europe (PRIDE) system, offers several advantages to intelligence actions across Europe. Thus, it provides a standardized, broad methodology which uses machine learning algorithms to classify and compare drug profiles, highlight how similar drug samples are, and how probable it is that they share a common origin, batch, or preparation process. We evaluated the proposed algorithms using precision and recall metrics and analyzed the quality of predictions performed by the algorithms, with respect to our gold standard. In our experiments, we reached a value of 88% for F0.5-measure, 91% for precision, and 78% for recall, confirming our main hypothesis: machine learning can learn and be applied to have an automatic classification of cocaine profiles.
Machine learning prediction in cardiovascular diseases: a meta-analysis
Authors: Krittanawong Chayakrit , Virk Hafeez Ul Hassan , Bangalore Sripal , Wang Zhen , Johnson Kipp W. , Pinotti Rachel , Zhang HongJu , Kaplin Scott , Narasimhan Bharat , Kitai Takeshi , Baber Usman , Halperin Jonathan L. , Tang W. H. Wilson
Published: September 2020

Several machine learning (ML) algorithms have been increasingly utilized for cardiovascular disease prediction. We aim to assess and summarize the overall predictive ability of ML algorithms in cardiovascular diseases. A comprehensive search strategy was designed and executed within the MEDLINE, Embase, and Scopus databases from database inception through March 15, 2019. The primary outcome was a composite of the predictive ability of ML algorithms of coronary artery disease, heart failure, stroke, and cardiac arrhythmias. Of 344 total studies identified, 103 cohorts, with a total of 3,377,318 individuals, met our inclusion criteria. For the prediction of coronary artery disease, boosting algorithms had a pooled area under the curve (AUC) of 0.88 (95% CI 0.84–0.91), and custom-built algorithms had a pooled AUC of 0.93 (95% CI 0.85–0.97). For the prediction of stroke, support vector machine (SVM) algorithms had a pooled AUC of 0.92 (95% CI 0.81–0.97), boosting algorithms had a pooled AUC of 0.91 (95% CI 0.81–0.96), and convolutional neural network (CNN) algorithms had a pooled AUC of 0.90 (95% CI 0.83–0.95). Although inadequate studies for each algorithm for meta-analytic methodology for both heart failure and cardiac arrhythmias because the confidence intervals overlap between different methods, showing no difference, SVM may outperform other algorithms in these areas. The predictive ability of ML algorithms in cardiovascular diseases is promising, particularly SVM and boosting algorithms. However, there is heterogeneity among ML algorithms in terms of multiple parameters. This information may assist clinicians in how to interpret data and implement optimal algorithms for their dataset.
Bayesian approach for maize yield response to plant density from both agronomic and economic viewpoints in North America
Authors: Lacasa Josefina , Gaspar Adam , Hinds Mark , Jayasinghege Don Sampath , Berning Dan , Ciampitti Ignacio A.
Published: September 2020

Targeting the right agronomic optimum plant density (AOPD) for maize (Zea maysL.) is a critical management decision, but even more when the seed cost and grain selling price are accounted for, i.e. economic OPD (EOPD). From the perspective of improving those estimates, past studies have focused on utilizing a Frequentist (classical) approach for obtaining single-point estimates for the yield-density models. Alternative analysis models such as Bayesian computational methods can provide more reliable estimation for AOPD, EOPD and yield at those optimal densities and better quantify the scope of uncertainty and variability that may be in the data. Thus, the aims of this research were to (i) quantify AOPD, EOPD and yield at those plant densities, (ii) obtain and compare clusters of yield-density for different attainable yields and latitudes, and (iii) characterize their influence on EOPD variability under different economic scenarios, i.e. seed cost to corn price ratios. Maize hybrid by seeding rate trials were conducted in 24 US states from 2010 to 2019, in at least one county per state. This study identified common yield-density response curves as well as plant density and yield optimums for 460 site-years. Locations below 40.5 N latitude showed a positive relationship between AOPD and maximum yield, in parallel to the high potential level of productivity. At these latitudes, EOPD depended mostly on the maximum attainable yield. For the northern latitudes, EOPD was not only dependent on the attainable yield but on the cost:price ratio, with high ratios favoring reductions in EOPD at similar yields. A significant contribution from the Bayesian method was realizing that the variability of the estimators for AOPD is sometimes greater than the adjustment accounting for seed cost. Our results point at the differential response across latitudes and commercial relative maturity, as well as the significant uncertainty in the prediction of AOPD, relative to the economic value of the crop and the seed cost adjustments.
Characterization of semi-polar (20$$\overline{2}$$1) InGaN microLEDs
Authors: Horng Ray-Hua , Sinha Shreekant , Wu Yuh-Renn , Tarntair Fu-Guo , Han Jung , Wuu Dong-Sing
Published: September 2020

In this paper, semi-polar (20$$\overline{2}$$2¯1) InGaN blue light-emitting diodes (LEDs) were fabricated and compared the performance with those of LEDs grown on c-plane sapphire substrate. LEDs with different chip sizes of 100 μm × 100 μm, 75 μm × 75 μm, 25 μm × 25 μm, and 10 μm × 10 μm were used to study the influence of chip size on the device performance. It was found that the contact behavior between the n electrode and the n-GaN layer for the semi-polar (20$$\overline{2}$$2¯1) LEDs was different from that for the LEDs grown on the c-plane device. Concerning the device performance, the smaller LEDs provided a larger current density under the same voltage and presented a smaller forward voltage. However, the sidewall’s larger surface to volume ratio could affect the IQE. Therefore, the output power density reached the maximum with the 25 μm × 25 μm chip case. In addition, the low blue-shift phenomenon of semi-polar (20$$\overline{2}$$2¯1) LEDs was obtained. The larger devices exhibited the maximum IQE at a lower current density than the smaller devices, and the IQE had a larger droop as the current density increased for the LEDs grown on c-plane sapphire substrate.
Reduction of fatigue and anger-hostility by the oral administration of 5-aminolevulinic acid phosphate: a randomized, double-blind, placebo-controlled, parallel study
Authors: Higashikawa Fumiko , Kanno Keishi , Ogata Akiko , Sugiyama Masanori
Published: September 2020

Although large populations feel fatigue, the standardized medicinal therapy is currently absent. In this study, we determined whether 5-aminolevulinic acid (5-ALA) supplementation alleviates the feeling of fatigue in healthy subjects who feel chronic physical tiredness. Males and females between ages of 20 and 64 who felt physical fatigue on a daily basis, with a visual analogue scale (VAS) for fatigue ≥ 40 mm, a T-score of Fatigue-Inertia in the Profile of Mood States—Second Edition—Adult (POMS2-A) ≥ 50, and a T-score of Vigor-Activity in POMS2-A ≤ 60 were recruited. Seventy eligible participants were randomly assigned to either a 5-ALA or a placebo group. During the 8 weeks of consumption, the subjects completed VAS questionnaires for fatigue and POMS2-A at 4-week intervals. The VAS values for overall feeling of fatigue and feeling of work-related fatigue, and the Anger-Hostility subscale of POMS2-A were decreased by 5-ALA with significant time × group interaction effects (p = 0.040, 0.020, and 0.045, respectively). Besides, the 5-ALA group showed significant differences in Fatigue-Inertia, Depression-Dejection and Total Mood Disturbance scores, when compared between pre- and post-intervention, while the placebo group did not. In conclusion, the oral administration of 5-ALA improves fatigue and negative mood in subjects who constantly feel physical fatigue.

This clinical trial was registered with University hospital Medical Information Network Clinical Trials Registry (UMIN-CTR) as UMIN000031528 on 2/3/2018.
Sperm DNA methylation altered by THC and nicotine: Vulnerability of neurodevelopmental genes with bivalent chromatin
Authors: Schrott Rose , Rajavel Maya , Acharya Kelly , Huang Zhiqing , Acharya Chaitanya , Hawkey Andrew , Pippen Erica , Lyerly H. Kim , Levin Edward D. , Murphy Susan K.
Published: September 2020

Men consume the most nicotine and cannabis products but impacts on sperm epigenetics are poorly characterized. Evidence suggests that preconception exposure to these drugs alters offspring neurodevelopment. Epigenetics may in part facilitate heritability. We therefore compared effects of exposure to tetrahydrocannabinol (THC) and nicotine on DNA methylation in rat sperm at genes involved in neurodevelopment. Reduced representation bisulfite sequencing data from sperm of rats exposed to THC via oral gavage showed that seven neurodevelopmentally active genes were significantly differentially methylated versus controls. Pyrosequencing data revealed majority overlap in differential methylation in sperm from rats exposed to THC via injection as well as those exposed to nicotine. Neurodevelopmental genes including autism candidates are vulnerable to environmental exposures and common features may mediate this vulnerability. We discovered that autism candidate genes are significantly enriched for bivalent chromatin structure, suggesting this configuration may increase vulnerability of genes in sperm to disrupted methylation.
Preclinical dosimetry models and the prediction of clinical doses of novel positron emission tomography radiotracers
Authors: Garrow Adam A. , Andrews Jack P. M. , Gonzalez Zaniah N. , Corral Carlos A. , Portal Christophe , Morgan Timaeus E. F. , Walton Tashfeen , Wilson Ian , Newby David E. , Lucatelli Christophe , Tavares Adriana A. S.
Published: September 2020

Dosimetry models using preclinical positron emission tomography (PET) data are commonly employed to predict the clinical radiological safety of novel radiotracers. However, unbiased clinical safety profiling remains difficult during the translational exercise from preclinical research to first-in-human studies for novel PET radiotracers. In this study, we assessed PET dosimetry data of six 18F-labelled radiotracers using preclinical dosimetry models, different reconstruction methods and quantified the biases of these predictions relative to measured clinical doses to ease translation of new PET radiotracers to first-in-human studies. Whole-body PET images were taken from rats over 240 min after intravenous radiotracer bolus injection. Four existing and two novel PET radiotracers were investigated: [18F]FDG, [18F]AlF-NOTA-RGDfK, [18F]AlF-NOTA-octreotide ([18F]AlF-NOTA-OC), [18F]AlF-NOTA-NOC, [18F]ENC2015 and [18F]ENC2018. Filtered-back projection (FBP) and iterative methods were used for reconstruction of PET data. Predicted and true clinical absorbed doses for [18F]FDG and [18F]AlF-NOTA-OC were then used to quantify bias of preclinical model predictions versus clinical measurements. Our results show that most dosimetry models were biased in their predicted clinical dosimetry compared to empirical values. Therefore, normalization of rat:human organ sizes and correction for reconstruction method biases are required to achieve higher precision of dosimetry estimates.
Hardware implementation of Bayesian network building blocks with stochastic spintronic devices
Authors: Debashis Punyashloka , Ostwal Vaibhav , Faria Rafatul , Datta Supriyo , Appenzeller Joerg , Chen Zhihong
Published: September 2020

Bayesian networks are powerful statistical models to understand causal relationships in real-world probabilistic problems such as diagnosis, forecasting, computer vision, etc. For systems that involve complex causal dependencies among many variables, the complexity of the associated Bayesian networks become computationally intractable. As a result, direct hardware implementation of these networks is one promising approach to reducing power consumption and execution time. However, the few hardware implementations of Bayesian networks presented in literature rely on deterministic CMOS devices that are not efficient in representing the stochastic variables in a Bayesian network that encode the probability of occurrence of the associated event. This work presents an experimental demonstration of a Bayesian network building block implemented with inherently stochastic spintronic devices based on the natural physics of nanomagnets. These devices are based on nanomagnets with perpendicular magnetic anisotropy, initialized to their hard axes by the spin orbit torque from a heavy metal under-layer utilizing the giant spin Hall effect, enabling stochastic behavior. We construct an electrically interconnected network of two stochastic devices and manipulate the correlations between their states by changing connection weights and biases. By mapping given conditional probability tables to the circuit hardware, we demonstrate that any two node Bayesian networks can be implemented by our stochastic network. We then present the stochastic simulation of an example case of a four node Bayesian network using our proposed device, with parameters taken from the experiment. We view this work as a first step towards the large scale hardware implementation of Bayesian networks.
Nephronophthisis gene products display RNA-binding properties and are recruited to stress granules
Authors: Estrada Mallarino Luisa , Engel Christina , Ilık İbrahim Avşar , Maticzka Daniel , Heyl Florian , Müller Barbara , Yakulov Toma A. , Dengjel Jörn , Backofen Rolf , Akhtar Asifa , Walz Gerd
Published: September 2020

Mutations of cilia-associated molecules cause multiple developmental defects that are collectively termed ciliopathies. However, several ciliary proteins, involved in gating access to the cilium, also assume localizations at other cellular sites including the nucleus, where they participate in DNA damage responses to maintain tissue integrity. Molecular insight into how these molecules execute such diverse functions remains limited. A mass spectrometry screen for ANKS6-interacting proteins suggested an involvement of ANKS6 in RNA processing and/or binding. Comparing the RNA-binding properties of the known RNA-binding protein BICC1 with the three ankyrin-repeat proteins ANKS3, ANKS6 (NPHP16) and INVERSIN (NPHP2) confirmed that certain nephronophthisis (NPH) family members can interact with RNA molecules. We also observed that BICC1 and INVERSIN associate with stress granules in response to translational inhibition. Furthermore, BICC1 recruits ANKS3 and ANKS6 into TIA-1-positive stress granules after exposure to hippuristanol. Our findings uncover a novel function of NPH family members, and provide further evidence that NPH family members together with BICC1 are involved in stress responses to maintain tissue and organ integrity.