bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differences in S/G ratio in natural poplar variants do not predict catalytic depolymerization monomer yields
Authors: Anderson Eric M. , Stone Michael L. , Katahira Rui , Reed Michelle , Muchero Wellington , Ramirez Kelsey J. , Beckham Gregg T. , Román-Leshkov Yuriy 
Published: May 2019

AbstractThe ratio of syringyl (S) and guaiacyl (G) units in lignin has been regarded as a major factor in determining the maximum monomer yield from lignin depolymerization. This limit arises from the notion that G units are prone to C-C bond formation during lignin biosynthesis, resulting in less ether linkages that generate monomers. This study uses reductive catalytic fractionation (RCF) in flow-through reactors as an analytical tool to depolymerize lignin in poplar with naturally varying S/G ratios, and directly challenges the common conception that the S/G ratio predicts monomer yields. Rather, this work suggests that the plant controls C-O and C-C bond content by regulating monomer transport during lignin biosynthesis. Overall, our results indicate that additional factors beyond the monomeric composition of native lignin are important in developing a fundamental understanding of lignin biosynthesis.
The emergence of cost effective battery storage
Authors: Comello Stephen , Reichelstein Stefan 
Published: May 2019

AbstractEnergy storage will be key to overcoming the intermittency and variability of renewable energy sources. Here, we propose a metric for the cost of energy storage and for identifying optimally sized storage systems. The levelized cost of energy storage is the minimum price per kWh that a potential investor requires in order to break even over the entire lifetime of the storage facility. We forecast the dynamics of this cost metric in the context of lithium-ion batteries and demonstrate its usefulness in identifying an optimally sized battery charged by an incumbent solar PV system. Applying the model to residential solar customers in Germany, we find that behind-the-meter storage is economically viable because of the large difference between retail rates and current feed-in tariffs. In contrast, investment incentives for battery systems in California derive principally from a state-level subsidy program.
A generic approach towards afterglow luminescent nanoparticles for ultrasensitive in vivo imaging
Authors: Jiang Yuyan , Huang Jiaguo , Zhen Xu , Zeng Ziling , Li Jingchao , Xie Chen , Miao Qingqing , Chen Jie , Chen Peng , Pu Kanyi 
Published: May 2019

AbstractAfterglow imaging with long-lasting luminescence after cessation of light excitation provides opportunities for ultrasensitive molecular imaging; however, the lack of biologically compatible afterglow agents has impeded exploitation in clinical settings. This study presents a generic approach to transforming ordinary optical agents (including fluorescent polymers, dyes, and inorganic semiconductors) into afterglow luminescent nanoparticles (ALNPs). This approach integrates a cascade photoreaction into a single-particle entity, enabling ALNPs to chemically store photoenergy and spontaneously decay it in an energy-relay process. Not only can the afterglow profiles of ALNPs be finetuned to afford emission from visible to near-infrared (NIR) region, but also their intensities can be predicted by a mathematical model. The representative NIR ALNPs permit rapid detection of tumors in living mice with a signal-to-background ratio that is more than three orders of magnitude higher than that of NIR fluorescence. The biodegradability of the ALNPs further heightens their potential for ultrasensitive in vivo imaging.
Local sleep-like events during wakefulness and their relationship to decreased alertness in astronauts on ISS
Authors: Petit Gaetan , Cebolla Ana Maria , Fattinger Sara , Petieau Mathieu , Summerer Leopold , Cheron Guy , Huber Reto 
Published: May 2019

AbstractAdequate sleep quantity and quality is required to maintain vigilance, cognitive and learning processes. A decrease of sleep quantity preflight and on the International Space Station (ISS) has been reported. Recent counter-measures have been implemented to better regulate sleep opportunities on ISS. In our study, astronauts were allocated enough time for sleep the night before the recordings. However, for proper sleep recovery, the quality of sleep is also critical. Unfortunately, data on sleep quality have yet to be acquired from the ISS. Here, we investigate sleep pressure markers during wakefulness in five astronauts throughout their 6-month space mission by the mean of electroencephalographic recordings. We show a global increase of theta oscillations (5–7 Hz) on the ISS compared to on Earth before the mission. We also show that local sleep-like events, another marker of sleep pressure, are more global in space (p < 0.001). By analysing the performances of the astronauts during a docking simulation, we found that local sleep-like events are more global when reaction times are slower (R2 = 0.03, p = 0.006) and there is an increase of reaction times above 244 ms after 2 months in space (p = 0.012). Our analyses provide first evidence for increased sleep pressure in space and raise awareness on possible impacts on visuomotor performances in space.
Effects of targeted memory reactivation during sleep at home depend on sleep disturbances and habituation
Authors: Göldi Maurice , Rasch Björn 
Published: May 2019

AbstractTargeted memory reactivation (TMR) during sleep improves memory consolidation. However, it is still unknown whether TMR also benefits memory in real-life conditions. We tested whether TMR during sleep enhances Dutch-German vocabulary learning when applied during multiple nights at home in an unsupervised fashion. During 3 consecutive nights, 66 healthy young participants used an mp3-player to play Dutch words during sleep, without any control of sleep or awakenings by tones (unsupervised TMR). Unsupervised TMR benefitted overall memory scores only in a subgroup of participants, who reported no disturbances by TMR during sleep. Participants who reported general disturbances of sleep showed no benefit, while TMR specifically impaired memory in a third group who reported specific disturbances by the played words during sleep. Separate analysis per night indicated that memory benefits by TMR were significant in the entire sample in the third night only. Our results indicate that sleep disturbances and habituation might be critical factors for the success of unsupervised TMR in a home setting. Habituation to the TMR process as well as automatic sleep monitoring and avoidance of auditory-induced awakenings might be a precondition to successful application of TMR to language learning in real-life.
Diversity of N-acyl homoserine lactones in activated sludge detected by Fourier transform mass spectrometry
Authors: Honda Ryo , Phan Phuong-Thanh , Tobino Tomohiro , Prasertkulsak Sirilak , Panchavinin Smarch , Hong Phuc-Nguon , Taing Chanreaksmey , Noguchi Mana , Chiemchaisri Wilai , Chiemchaisri Chart 
Published: May 2019

AbstractQuorum sensing is recently considered to play important roles in biological wastewater treatment processes. This study aimed to investigate diversity of N-acyl homoserine lactones (AHL) among biological wastewater treatment processes and their locations. We analyzed and quantified 10 AHL in activated sludge at wastewater treatment plants (WWTPs) by Fourier transform mass spectrometry (FTMS) and by bioassay on thin-layer chromatography (TLC). Sludge samples were taken at seven WWTPs in Japan and in Thailand, which were chosen to compare different process types including a pilot-scale membrane bioreactor process. Various AHL were detected in activated sludge, suggesting the presence of quorum sensing activity in many practical WWTPs. Detection of AHL by LC-FTMS was much more sensitive than by TLC bioassay, because TLC bioassay was implied to be affected by the presence of quorum quenching molecules in activated sludge. With LC-FTMS analysis, AHL, which has short straight chain in the acyl group, were more abundant. Especially, C4-HSL, C7-HSL, and C8-HSL were detected widely independent of locations and process types. AO processes had higher AHL productivity than other processes.
A long-term dataset of lake surface water temperature over the Tibetan Plateau derived from AVHRR 1981–2015
Authors: Liu Baojian , Wan Wei , Xie Hongjie , Li Huan , Zhu Siyu , Zhang Guoqing , Wen Lijuan , Hong Yang 
Published: May 2019

AbstractLake surface water temperature (LSWT) is of vital importance for hydrological and meteorological studies. The LSWT ground measurements in the Tibetan Plateau (TP) were quite scarce because of its harsh environment. Thermal infrared remote sensing is a reliable way to calculate historical LSWT. In this study, we present the first and longest 35-year (1981–2015) daytime lake-averaged LSWT data of 97 large lakes (>80 km2 each) in the TP using the 4-km Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) data. The LSWT dataset, taking advantage of observations from NOAA’s afternoon satellites, includes three time scales, i.e., daily, 8-day-averaged, and monthly-averaged. The AVHRR-derived LSWT has a similar accuracy (RMSE = 1.7 °C) to that from other data products such as MODIS (RMSE = 1.7 °C) and ARC-Lake (RMSE = 2.0 °C). An inter-comparison of different sensors indicates that for studies such as those considering long-term climate change, the relative bias of different AVHRR sensors cannot be ignored. The proposed dataset should be, to some extent, a valuable asset for better understanding the hydrologic/climatic property and its changes over the TP.
A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells
Authors: Joossens Elisabeth , Macko Peter , Palosaari Taina , Gerloff Kirsten , Ojea-Jiménez Isaac , Gilliland Douglas , Novak Jaroslav , Fortaner Torrent Salvador , Gineste Jean-Michel , Römer Isabella , Briffa Sophie Marie , Valsami-Jones Eugenia , Lynch Iseult , Whelan Maurice 
Published: May 2019

AbstractThe large amount of existing nanomaterials demands rapid and reliable methods for testing their potential toxicological effect on human health, preferably by means of relevant in vitro techniques in order to reduce testing on animals. Combining high throughput workflows with automated high content imaging techniques allows deriving much more information from cell-based assays than the typical readouts (i.e. one measurement per well) with optical plate-readers. We present here a dataset including data based on a maximum of 14 different read outs (including viable cell count, cell membrane permeability, apoptotic cell death, mitochondrial membrane potential and steatosis) of the human hepatoma HepaRG cell line treated with a large set of nanomaterials, coatings and supernatants at different concentrations. The database, given its size, can be utilized in the development of in silico hazard assessment and prediction tools or can be combined with toxicity results from other in vitro test systems.
The Effect of Ganoderma Microsporum immunomodulatory proteins on alleviating PM2.5-induced inflammatory responses in pregnant rats and fine particulate matter-induced neurological damage in the offsprings
Authors: Tseng Chia-Yi , Yu Jia-Yu , Chuang Yu-Chen , Lin Chia-Ying , Wu Chun-Hao , Liao Chia-Wei , Yang Fu-Hua , Chao Ming-Wei 
Published: May 2019

AbstractFine particulate matter 2.5 (PM2.5) induces free radicals and oxidative stress in animals, leading to a range of illnesses. In this study, Ganoderma Microsporum immunomodulatory (GMI) proteins were administered to alleviate PM2.5-induced inflammatory responses in mother rats, and PM2.5-induced inflammatory responses and neurological damage in their offspring. The results suggested that GMI administration decreased the risk of neurological disorders in mother rats and their offspring by reducing the white blood cell count, lessening inflammatory responses and PM2.5-induced memory impairment, and preventing dendritic branches in the hippocampi from declining and microRNAs from PM2.5-induced modulation.
Charge-Dependent Regulation in DNA Adsorption on 2D Clay Minerals
Authors: Xie Hongyi , Wan Zhengqing , Liu Song , Zhang Yi , Tan Jieqiong , Yang Huaming 
Published: May 2019

AbstractDNA purification is essential for the detection of human clinical specimens. A non-destructive, controllable, and low reagent consuming DNA extraction method is described. Negatively charged DNA is absorbed onto a negatively charged montmorillonite to achieve non-destructive DNA extraction based on cation bridge construction and electric double layer formation. Different valence cation modified montmorillonite forms were used to validate the charge-dependent nature of DNA adsorption on montmorillonite. Electric double layer thickness thinning/thickening with the high/lower valence cations exists, and the minerals tended to be sedimentation-stable due to the Van der Waals attraction/electrostatic repulsion. Li-modified montmorillonite with the lowest charge states showed the best DNA adsorption efficiency of 8–10 ng/μg. Charge-dependent regulating research provides a new perspective for controllable DNA extraction and a deep analysis of interface engineering mechanisms.
Mapping the spectrum of 3D communities in human chromosome conformation capture data
Authors: Lee Sang Hoon , Kim Yeonghoon , Lee Sungmin , Durang Xavier , Stenberg Per , Jeon Jae-Hyung , Lizana Ludvig 
Published: May 2019

AbstractSeveral experiments show that the three dimensional (3D) organization of chromosomes affects genetic processes such as transcription and gene regulation. To better understand this connection, researchers developed the Hi-C method that is able to detect the pairwise physical contacts of all chromosomal loci. The Hi-C data show that chromosomes are composed of 3D compartments that range over a variety of scales. However, it is challenging to systematically detect these cross-scale structures. Most studies have therefore designed methods for specific scales to study foremost topologically associated domains (TADs) and A/B compartments. To go beyond this limitation, we tailor a network community detection method that finds communities in compact fractal globule polymer systems. Our method allows us to continuously scan through all scales with a single resolution parameter. We found: (i) polymer segments belonging to the same 3D community do not have to be in consecutive order along the polymer chain. In other words, several TADs may belong to the same 3D community. (ii) CTCF proteins—a loop-stabilizing protein that is ascribed a big role in TAD formation—are well correlated with community borders only at one level of organization. (iii) TADs and A/B compartments are traditionally treated as two weakly related 3D structures and detected with different algorithms. With our method, we detect both by simply adjusting the resolution parameter. We therefore argue that they represent two specific levels of a continuous spectrum 3D communities, rather than seeing them as different structural entities.
Effects of water depth on GBD associated with total dissolved gas supersaturation in Chinese sucker (Myxocyprinus asiaticus) in upper Yangtze River
Authors: Cao Lu , Li Yong , An Ruidong , Wang Yuanming , Li Kefeng , Buchmann Kurt 
Published: May 2019

AbstractSpillway water falling from hydroelectric power plant dams in the upper Yangtze River creates a high pressure in plunge pools below the dams allowing gasses to be dissolved at high rates. The resulting supersaturation persists many miles downstream the dam which may elicit mortality in river fishes associated with gas bubble disease (GBD). We have in a two-year study (2014–15) evaluated the effect of water depth on development of GBD in an endemic and endangered fish species, the Chinese sucker Myxocyprinus asiaticus, 24 km downstream of Xiangjaiba dam. Mortality and incidence of GBD were recorded and it was seen that water depth and survival time/GBD development was positively correlated. The physiological mechanisms explaining increased resistance to GBD with increased water depths (and thereby higher hydrostatic pressure) are discussed. The results may be applied in future management of fish resources in order to protect endangered endemic fishes in rivers affected by dam constructions.
Genetic Predisposition Impacts Clinical Changes in a Lifestyle Coaching Program
Authors: Zubair Niha , Conomos Matthew P. , Hood Leroy , Omenn Gilbert S. , Price Nathan D. , Spring Bonnie J. , Magis Andrew T. , Lovejoy Jennifer C. 
Published: May 2019

AbstractBoth genetic and lifestyle factors contribute to an individual’s disease risk, suggesting a multi-omic approach is essential for personalized prevention. Studies have examined the effectiveness of lifestyle coaching on clinical outcomes, however, little is known about the impact of genetic predisposition on the response to lifestyle coaching. Here we report on the results of a real-world observational study in 2531 participants enrolled in a commercial “Scientific Wellness” program, which combines multi-omic data with personalized, telephonic lifestyle coaching. Specifically, we examined: 1) the impact of this program on 55 clinical markers and 2) the effect of genetic predisposition on these clinical changes. We identified sustained improvements in clinical markers related to cardiometabolic risk, inflammation, nutrition, and anthropometrics. Notably, improvements in HbA1c were akin to those observed in landmark trials. Furthermore, genetic markers were associated with longitudinal changes in clinical markers. For example, individuals with genetic predisposition for higher LDL-C had a lesser decrease in LDL-C on average than those with genetic predisposition for average LDL-C. Overall, these results suggest that a program combining multi-omic data with lifestyle coaching produces clinically meaningful improvements, and that genetic predisposition impacts clinical responses to lifestyle change.
Terahertz Radiation from Combined Metallic Slit Arrays
Authors: Li Dazhi , Nakajima Makoto , Tani Masahiko , Yang Jinfeng , Kitahara Hideaki , Hashida Masaki , Asakawa Makoto , Liu Wenxin , Wei Yanyu , Yang Ziqiang 
Published: May 2019

AbstractWe report an approach to efficiently generate terahertz radiation from a combined periodic structure. The proposed configuration is composed of two metallic slit arrays deliberately designed with different periodic length, slit width and depth. We found that the combination of the two slit arrays could provide special electromagnetic modes, which exhibit nonradiative property above the surface of one slit array and radiative property inside the other one. An electron beam holding proper energy could resonate with those modes to generate strong and directional electromagnetic radiations in the terahertz regime, indicating that the approach has the potential in developing high-performance terahertz radiation sources.
CRISPR/Cas9-mediated generation of a tyrosine hydroxylase reporter iPSC line for live imaging and isolation of dopaminergic neurons
Authors: Calatayud Carles , Carola Giulia , Fernández-Carasa Irene , Valtorta Marco , Jiménez-Delgado Senda , Díaz Mònica , Soriano-Fradera Jordi , Cappelletti Graziella , García-Sancho Javier , Raya Ángel , Consiglio Antonella 
Published: May 2019

AbstractPatient-specific induced pluripotent stem cells (iPSCs) are a powerful tool to investigate the molecular mechanisms underlying Parkinson’s disease (PD), and might provide novel platforms for systematic drug screening. Several strategies have been developed to generate iPSC-derived tyrosine hydroxylase (TH)-positive dopaminergic neurons (DAn), the clinically relevant cell type in PD; however, they often result in mixed neuronal cultures containing only a small proportion of TH-positive DAn. To overcome this limitation, we used CRISPR/Cas9-based editing to generate a human iPSC line expressing a fluorescent protein (mOrange) knocked-in at the last exon of the TH locus. After differentiation of the TH-mOrange reporter iPSC line, we confirmed that mOrange expression faithfully mimicked endogenous TH expression in iPSC-derived DAn. We also employed calcium imaging techniques to determine the intrinsic functional differences between dopaminergic and non-dopaminergic ventral midbrain neurons. Crucially, the brightness of mOrange allowed direct visualization of TH-expressing cells in heterogeneous cultures, and enabled us to isolate live mOrange-positive cells through fluorescence-activated cell sorting, for further differentiation. This technique, coupled to refined imaging and data processing tools, could advance the investigation of PD pathogenesis and might offer a platform to test potential new therapeutics for PD and other neurodegenerative diseases.
Amelioration of obesity-related biomarkers by Lactobacillus sakei CJLS03 in a high-fat diet-induced obese murine model
Authors: Ji Yosep , Park Soyoung , Chung Youngmee , Kim Bobae , Park Haryung , Huang Eunchong , Jeong Dahye , Jung Hoe-Yune , Kim Bongjoon , Hyun Chang-Kee , Holzapfel Wilhelm H. 
Published: May 2019

AbstractRecent progresses in clinical diagnostic analyses have demonstrated the decisive influence of host gut microbiota on the status of metabolic disorders. Short chain fatty acids (SCFAs) produced by gut microbiota, in particular, are considered as a key biomarker, both of communication between gut microbiota and the host, and of impact on host metabolic homeostasis. Microbiota modulation and concomitant anti-obesity effects of probiotics have been reported by different researchers. However, the underlying modulatory functions of probiotics on gut microbiota towards host metabolic homeostasis are still not fully understood. In this study, the impact of Lactobacillus sakei CJLS03 (isolated from Korean kimchi) on obesity-related biomarkers was investigated using a diet-induced obese mouse model. Body weight increase, SCFAs, the gut microbiota and various obesity-associated biomarkers were significantly and beneficially influenced by L. sakei CJLS03 administration compared to the control groups. Analytical data on faecal samples support the role of the colonic microbial population in SCFA production. The composition of the latter may be influenced by modulation of the distal gastro-intestinal microbiota by putative probiotics such as L. sakei CJLS03.