bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive fast charging methodology for commercial Li‐ion batteries based on the internal resistance spectrum
Authors: Sebastian Sandeep S. , Dong Bo , Zerrin Taner , Pena Pedro A. , Akhavi Amirali S. , Li Yige , Ozkan Cengiz S. , Ozkan Mihrimah 
Published: February 2020

AbstractDevelopment of lithium‐ion batteries (LIBs) with high energy density has brought a promising future for the next generation of electric vehicles (EV). In order to make EVs more competitive with combustion engine vehicles, development of an effective fast charging technique is inevitable. However, improper employment of fast charging can damage the battery and bring safety hazards. Herein, industry based along with our proposed internal resistance (IR) based fast charging techniques were performed on commercial Panasonic NCR 18650B cylindrical batteries. To further investigate the fast charging impact and electrode degradation mechanisms, electrochemical analysis and material characterization techniques including EIS (electrochemical impedance spectroscopy), GITT (galvanostatic intermittent titration technique), SEM (scanning electron microscopy), and XRD (X‐ray diffraction) were implemented. Batteries that were cycled under industry based fast charging showed 78% increase in internal resistance after 120 cycles along with rapid capacity fading. Mechanical distortion of the battery case occurred around the 60th cycle for industry based fast charging. In contrast, IR based fast charged batteries showed 29.4% increase in internal resistance over 120 cycles. In addition, mechanical distortion was not observed and the relative capacity fading was on a moderate level. Furthermore, this work could pave the way for the optimization of fast charging techniques to secure the lifespan and safety of various types of lithium‐ion batteries.
An efficient indexing for Internet of Things massive data based on cloud‐fog computing
Authors: Benrazek Ala‐Eddine , Kouahla Zineddine , Farou Brahim , Ferrag Mohamed Amine , Seridi Hamid , Kurulay Muhammet 
Published: February 2020

AbstractIn recent years, the number of sensor and actuator nodes in the Internet of Things (IoT) networks has increased, generating a large amount of data. Most research techniques are based on dividing target data into subsets. On a large scale, this volume increases exponentially, which will affect search algorithms. This problem is caused by the inherent deficiencies of space partitioning. This paper introduces a new and efficient indexing structure to index massive IoT data called BCCF‐tree (Binary tree based on containers at the cloud‐fog computing level). This structure is based on recursive partitioning of space using the k‐means clustering algorithm to effectively separate space into nonoverlapping subspace to improve the quality of search and discovery algorithm results. A good topology should avoid a biased allocation of objects for separable sets and should not influence the structure of the index. BCCF‐tree structure benefits to the emerging cloud‐fog computing system, which represents the most powerful real‐time processing capacity provided by fog computing due to its proximity to sensors and the largest storage capacity provided by cloud computing. The paper also discusses the effectiveness of construction and search algorithms, as well as the quality of the index compared to other recent indexing data structures. The experimental results showed good performance.
Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation
Authors: Chan Joshua C. C. , Jacobi Liana , Zhu Dan 
Published: February 2020

AbstractLarge Bayesian vector autoregressions with the natural conjugate prior are now routinely used for forecasting and structural analysis. It has been shown that selecting the prior hyperparameters in a data‐driven manner can often substantially improve forecast performance. We propose a computationally efficient method to obtain the optimal hyperparameters based on automatic differentiation, which is an efficient way to compute derivatives. Using a large US data set, we show that using the optimal hyperparameter values leads to substantially better forecast performance. Moreover, the proposed method is much faster than the conventional grid‐search approach, and is applicable in high‐dimensional optimization problems. The new method thus provides a practical and systematic way to develop better shrinkage priors for forecasting in a data‐rich environment.
Einwirkung von Murgängen auf Schutzbauwerke – Das Messbauwerk am Gadriabach, Südtirol
Authors: Nagl Georg , Hübl Johannes 
Published: February 2020

AbstractThe interaction between a protection structure and an acting process (e.g. debris flow) has only been described in a few publications so far. In particular, the acting forces and stresses have only been measured under real conditions in a few cases. Therefore it was necessary to design a monitoring barrier that could measure both the process parameters and the forces involved and their transfer into the ground. Such a structure was built 2016 in the Gadria torrent (South Tyrol). Data has meanwhile been measured, recorded and evaluated from five debris flows. With flow heights up to 2 m, densities up to 2,200 kg/m3 and velocities between 1 and 6 m/s, the measured impact forces could be compared with the existing loading approaches. The findings serve as a basis for the improvement of approaches for the design of protection structures.
Entwicklung eines Frühwarnsystems für Rutschungen in den tropischen Anden (Medellín, Kolumbien)
Authors: Thuro Kurosch , Singer John , Menschik Bettina , Breuninger Tamara , Gamperl Moritz 
Published: February 2020

AbstractThe Inform@Risk project aims to develop a cost‐effective but sufficiently accurate, easy‐to‐maintain early warning system (EWS) for informal settlements on the margins of large cities, adapted to tropical climatic conditions in South American mountain regions. This EWS will be implemented on the outskirts of the Bello Oriente district in Medellín. The area is characterized by an elevation of around 2,000 m, a medium slope inclination of 20° to 30° and deeply weathered crystalline rocks, which are particularly sensitive to shallow landslides during heavy precipitation. In addition to the development of a geo‐sensor network with complex data integration and real‐time evaluation, the main focus of the project is the social integration of the EWS both with the municipal authorities, which are going to take over the system after completion of the three‐year project, and with the population living in the settlement. This report describes the project and the specifications of the EWS and presents first results from the field work.
Steinschlagschutzdämme: Konstruktion und Bemessung
Authors: Hofmann Robert , Vollmert Lars 
Published: February 2020

AbstractThe introduction of Austrian standard ONR 24810 provides a design concept for earth dams to protect against massive rockfall events. The essential basis for the concept is the differentiation into five construction types of rockfall embankments due to different system behaviour. The structure therefore has to be assigned to one type at the beginning of the design process. The types available for selection are a simple earth dam (type I), a dam with quarry stone facing (type II), a geosynthetic‐reinforced dam without increased crosswise distribution of the impact loads (type III), a geosynthetic‐reinforced dam with increased crosswise distribution (type IVa) and with strongly increased crosswise distribution (type IVb) of the impact loads. Eurocode 7 (EC 7) is considered accordingly. The design concept is currently being discussed and used in Austria, Switzerland, Germany and Norway. Presented are the design principle and the construction as executive summary.
An uncertainty principle for neural coding: Conjugate representations of position and velocity are mapped onto firing rates and co‐firing rates of neural spike trains
Authors: Grgurich Ryan , Blair Hugh T. 
Published: February 2020

AbstractThe hippocampal system contains neural populations that encode an animal's position and velocity as it navigates through space. Here, we show that such populations can embed two codes within their spike trains: a firing rate code (
R) conveyed by within‐cell spike intervals, and a co‐firing rate code () conveyed by between‐cell spike intervals. These two codes behave as conjugates of one another, obeying an analog of the uncertainty principle from physics: information conveyed in
R comes at the expense of information in , and vice versa. An exception to this trade‐off occurs when spike trains encode a pair of conjugate variables, such as position and velocity, which do not compete for capacity across
R and . To illustrate this, we describe two biologically inspired methods for decoding
R and , referred to as sigma and sigma‐chi decoding, respectively. Simulations of head direction and grid cells show that if firing rates are tuned for position (but not velocity), then position is recovered by sigma decoding, whereas velocity is recovered by sigma‐chi decoding. Conversely, simulations of oscillatory interference among theta‐modulated “speed cells” show that if co‐firing rates are tuned for position (but not velocity), then position is recovered by sigma‐chi decoding, whereas velocity is recovered by sigma decoding. Between these two extremes, information about both variables can be distributed across both channels, and partially recovered by both decoders. These results suggest that populations with different spatial and temporal tuning properties—such as speed versus grid cells—might not encode different information, but rather, distribute similar information about position and velocity in different ways across
R and . Such conjugate coding of position and velocity may influence how hippocampal populations are interconnected to form functional circuits, and how biological neurons integrate their inputs to decode information from firing rates and spike correlations.
In vitro maturation is a viable option for urgent fertility preservation in young women with hematological conditions
Authors: Sonigo Charlotte , Bajeux Jeanne , Boubaya Marouane , Eustache Florence , Sifer Christophe , Lévy Vincent , Grynberg Michaël , Sermondade Nathalie 
Published: February 2020

AbstractFertility preservation embraces different techniques developed to improve young women chances of becoming mothers after healing. Among them, in vitro maturation (IVM) procedure is based on oocyte retrieval without any gonadotropin treatment, feasible under locoregional or local anesthesia, with very low operative complications. The present retrospective analysis of a preliminary case series of 25 women diagnosed with Hodgkin or non‐Hodgkin lymphoma aims to evaluate the feasibility of IVM for urgent fertility preservation purposes in hematological context. A median of five mature oocytes was cryopreserved after one cycle of IVM, performed without delaying the start of the chemotherapy (median delay from histological diagnosis to start of the chemotherapy 17.5 days). No association was found between lymphomas' characteristics and the number of recovered or frozen oocytes. Although experimental, this technique could be relevant when fertility preservation has to be performed within a short time frame and without additional surgery nor any risk of malignant cells reintroduction.
A Review of the Environmental Fate and Effects of Acesulfame-Potassium
Authors: Belton Kerry , Schaefer Edward , Guiney Patrick D 
Published: February 2020

Abstract
The use of low and no calorie sweeteners (LNCSs) has increased substantially the past several decades. Their high solubility in water, low absorption to soils, and reliable analytical methods facilitate their detection in wastewater and surface waters. Low and no calorie sweeteners are widely used in food and beverage products around the world, have been approved as food additives, and are considered safe for human consumption by the United States Food and Drug Administration (USFDA) and other regulatory authorities. Concerns have been raised, however, regarding their growing presence and potential aquatic toxicity. Recent studies have provided new empirical environmental monitoring, environmental fate, and ecotoxicity on acesulfame potassium (ACE-K). Acesulfame potassium is an important high-production LNCS, widely detected in the environment and generally reported to be environmentally persistent. Acesulfame-potassium was selected for this environmental fate and effects review to determine its comparative risk to aquatic organisms. The biodegradation of ACE-K is predicted to be low, based on available quantitative structure–activity relationship (QSAR) models, and this has been confirmed by several investigations, mostly published prior to 2014. More recently, there appears to be an interesting paradigm shift with several reports of the enhanced ability of wastewater treatment plants to biodegrade ACE-K. Some studies report that ACE-K can be photodegraded into potentially toxic breakdown products, whereas other data indicate that this may not be the case. A robust set of acute and chronic ecotoxicity studies in fish, invertebrates, and freshwater plants provided critical data on ACE-K's aquatic toxicity. Acesulfame-potassium concentrations in wastewater and surface water are generally in the lower parts per billion (ppb) range, whereas concentrations in sludge and groundwater are much lower (parts per trillion [ppt]). This preliminary environmental risk assessment establishes that ACE-K has high margins of safety (MOSs) and presents a negligible risk to the aquatic environment based on a collation of extensive ACE-K environmental monitoring, conservative predicted environmental concentration (PEC) and predicted no-effect concentration (PNEC) estimates, and prudent probabilistic exposure modeling. Integr Environ Assess Manag 2020;16:421–437. © 2020 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC)
Strain modulation of phase transformation of noble metal nanomaterials
Authors: Wu Tong , Sun Mingzi , Huang Bolong 
Published: February 2020

AbstractNoble metals have been extensively studied owing to their high chemical stability and outstanding catalytic properties in various important reactions. However, their large‐scale application of noble metals is still challenged by their high expense and scarcity on the earth, as well as the yet insufficient activity to give a satisfying performance. For decades, enormous research efforts have been devoted to the nanoengineering of noble metal nanocrystals, such as the size‐, composition‐, shape‐, and/or morphology‐controlled syntheses, and impressive advances have been achieved. Meanwhile, the discovery that the crystal structure of noble metal nanocrystals also has a significant impact on their properties opened a new pathway that modulates the crystal phases of noble metals to achieve better properties. Among the feasible methods for crystal phase transformation, the presence of strain is not negligible. Strain generally has two roles: the driving force of the phase transformation and/or the origin of the distinct properties of the new crystal structure. Strain effect on noble metals has also been extensively studied due to its capability of fine‐tuning the surface catalytic activity. Therefore, combining the two hot research trends together, a possible research pathway is emerging. That is, utilizing the potential synergistic effect between novel crystal phases and the subsequent lattice strain to boost the performance of noble metal nanocrystal even further. Herein, a brief summary of the currently discovered noble metal phases and strain effect and the introduction of strain related phase modulation techniques along with the catalytic applications will be presented. Finally, a brief conclusion and future perspective is given.image
LncRNA RP6‐65G23.1 accelerates proliferation and inhibits apoptosis via p‐ERK1/2/p‐AKT signaling pathway on keratinocytes
Authors: Duan Qiqi , Wang Guorong , Wang Min , Chen Caifeng , Zhang Mengdi , Liu Meng , Shao Yongping , Zheng Yan 
Published: February 2020

AbstractLong non‐coding RNAs (LncRNAs) play essential roles in the development of various diseases including hepatic carcinoma, melanoma, and psoriasis. Meanwhile, lncRNA‐RP6‐65G23.1 was upregulated in psoriasis. However, it is still unclear whether lncRNA‐RP6‐65G23.1 expression is upregulated and contributes to keratinocytes proliferation and apoptosis, and which mechanisms are responsible for these processes. The aims of this study are to address these issues. RP6‐65G23.1 was significantly upregulated in M5‐stimulated keratinocytes and stimulated the proliferation and inhibited the apoptosis of HaCaT cells. Knockdown of RP6‐65G23.1 resulted in defects of growth and increased rates of apoptosis in HaCaT cells, while overexpression of RP6‐65G23.1 manifested the opposite effects. Consistently, the expression of antiapoptotic proteins Bcl‐xl and Bcl2 were decreased in RP6‐65G23.1‐knockdown cells but elevated in RP6‐65G23.1 overexpression cells. In addition, RP6‐65G23.1 depletion blunted the activity of extracellular regulated kinase 1/2 (ERK1/2) and AKT signaling pathways and induced G1/S‐growth arrest. By contrast, overexpression of RP6‐65G23.1 activates the ERK1/2 and AKT signaling pathways and inhibits the expression of p21 and p27 in an AKT‐dependent manner leading to promote the G1/S progression. Our results suggested that lncRNA‐RP6‐65G23.1 would contribute to the pathogenesis of psoriasis by regulating the proliferation and apoptosis of keratinocytes via the p‐ERK1/2 and p‐AKT pathways.
M3 receptor modulates extracellular matrix synthesis via ERK1/2 signaling pathway in human bladder smooth muscle cells
Authors: Chen Shulian , Liao Banghua , Jin Xi , Wei Tangqiang , He Qing , Lin Yifei , Ai Jianzhong , Gong Lina , Li Hong , Wang Kunjie 
Published: February 2020

AbstractExtracellular matrix (ECM) accumulation plays a key role in the progression of bladder outlet obstruction (BOO). Muscarinic receptors have been widely reported to serve as pivotal regulators in lung tissue remodeling. However, the influence of them on human bladder smooth muscle cells (HBSMCs) and the underlying molecular mechanisms have not yet been evaluated. The purposes of the present study are to investigate the effect of muscarinic receptors on the synthesis of ECM in HBSMCs and the involvement of intracellular signal transducers. The results indicated that M1‐M5 muscarinic receptors were all encoded in HBSMCs. The expression rank order was M2 > M1 > M5 > M3 > M4. The gene and protein expression of collagen I (COL1), TIMP‐1, and TIMP‐2 was carbachol (CCH) concentration‐dependently enhanced. The synthesis of COL1 in the supernatant of cell culture medium was significantly elevated by exposure to CCH. The CCH‐induced protein expression of COL1, TIMP‐1, and TIMP‐2, however, was obviously reduced by the pretreatment of muscarinic receptor antagonists, atropine, and M3‐preferring antagonist (1,1‐dimethyl‐4‐diphenyl‐acetoxypiperidinium iodide [4‐DAMP]). Furthermore, ERK1/2 was activated by 100 µM CCH when compared with the control group and the pretreatment of ERK1/2 inhibitor significantly suppressed the synthesis of COL1 induced by 100 µM CCH. Besides, CCH‐induced phosphorylation of ERK1/2 was remarkably restrained by the pretreatment of 4‐DAMP. All in all, these findings demonstrated that M3 receptor can modulate extracellular matrix synthesis via the ERK1/2 signaling pathway, which may provide potential novel therapeutic targets for BOO.
Synthesis, spectroscopic characterization, and in vitro antimicrobial activity of fused pyrazolo[4′,3′:4,5]thieno[3,2‐d]pyrimidine
Authors: Saber Ahmed F. , Kamal El‐Dean Adel M. , Redwan Shaban M. , Zaki Remon M. 
Published: February 2020

Abstract4‐Amino‐3‐methyl‐1‐phenyl‐1H‐thieno[2,3‐c]pyrazole‐5‐carboxamide (1), which had been previously synthesized according to literature, was used for synthesizing pyrazolothieno‐pyrimidine (2) in the presence of triethyl orthoformate and acetic acid. Chlorination of the latter compound upon reflux with phosphorus oxychloride afforded the chloropyrazolothienopyrimidine (3), which underwent heterocyclization reaction with sodium azide to produce the tetrazolo‐pyrazolothienopyrimidine (6). The chloropyrimidine (3) reacted with hydrazine hydrate to give the hydrazinopyrimidine derivative (4), which in turn underwent intramolecular condensation reactions with various 1,3‐dicarbonyl compounds, namely ethyl acetoacetate, ethyl benzoylacetate, ethyl cyanoacetate, acetylacetone, diethyl malonate, and ethyl (ethoxymethylene) cyanoacetate, yielding new pyrazolyl pyrazolothienopyrimidine ring systems. Also triazolopyrazolothieno‐pyrimidines and benzylidene Schiff's base compounds were obtained as a result of the reactions with carbon disulfide in pyridine and benzaldehyde, respectively. The chemical structures of the newly synthesized compounds were elucidated using elemental and spectroscopic analyses (FT‐IR, 1H‐NMR, 13C‐NMR, and mass spectroscopy). Some of the synthesized compounds possess high antibacterial and antifungal activities.
The role of miR‐34 in cancer drug resistance
Authors: Naghizadeh Sanaz , Mohammadi Ali , Duijf Pascal H. G. , Baradaran Behzad , Safarzadeh Elham , Cho William Chi‐Shing , Mansoori Behzad 
Published: February 2020

AbstractResistance to conventional chemotherapy remains a major cause of cancer relapse and cancer‐related deaths. Therefore, there is an urgent need to overcome resistance barriers. To improve cancer treatment approaches, it is critical to elucidate the basic mechanisms underlying drug resistance. Increasingly, the mechanisms involving micro‐RNAs (miRNAs) are studied because miRNAs are also considered practical therapeutic options due to high degrees of specificity, efficacy, and accuracy, as well as their ability to target multiple genes at the same time. Years of research have firmly established miR‐34 as a key tumor suppressor miRNA whose target genes are involved in drug resistance mechanisms. Indeed, numerous articles show that low levels of circulating miR‐34 or tumor‐specific miR‐34 expression are associated with poor response to chemotherapy. In addition, elevation of inherently low miR‐34 levels in resistant cancer cells effectively restores sensitivity to chemotherapeutic agents. Here, we review this literature, also highlighting some contradictory observations. In addition, we discuss the potential utility of miR‐34 expression as a predictive biomarker for chemotherapeutic drug response. Although caution needs to be exercised, miR‐34 is emerging as a biomarker that could improve cancer precision medicine.