bluuebunny/crossref_metadata_2025_split huggingface dataset:
Orographic‐Induced Strong Wind Associated With a Low‐Pressure System Under Clear‐Air Condition During ICE‐POP 2018
Authors: Tsai Chia‐Lun , Kim Kwonil , Liou Yu‐Chieng , Kim Jung‐Hoon , Lee YongHee , Lee GyuWon 
Published: June 2022

AbstractA strong wind event under clear‐air conditions during the 2018 Winter Olympic and Paralympic games in Pyeongchang, Korea, was examined using various datasets. High spatiotemporal resolution wind information was obtained by Doppler lidars, automatic weather stations, wind profiler, sounding observations, reanalysis datasets under the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic winter games (ICE‐POP 2018). This study aimed to understand the possible mechanisms of localized strong winds across a high mountainous area and on the leeside associated with the underlying large‐scale pattern of a low‐pressure system (LPS). The evolution of surface winds shows quite different patterns, exhibiting intensification of strong winds in the leeside and periodically persistent strong winds in upstream mountainous areas with the approaching LPS. The surface wind speed was intensified from ∼3 to ∼12 m s−1 (gusts were stronger than 20 m s−1 above the ground) at a surface station in the leeside. A budget analysis of the horizontal momentum equation suggested that the pressure gradient force (PGF) contributed from adiabatic warming and the passage of LPS was the main factor in the acceleration of the surface wind in the leeward side of the mountains. The detailed 3D winds revealed that the PGF also modulated the background winds at the mountainous station, which caused persistent strong and periodic winds (range of ∼7 to ∼12 m s−1) related to the channeling effect. The evidence showed that under the same synoptic condition of a LPS, different mechanisms are important for strong winds in determining the strength and persistence of orographic‐induced strong winds under clear‐air conditions.
Enhanced blue-light excited cyan-emitting persistent luminescence of BaLu2Al2Ga2SiO12:Ce3+, Bi3+ phosphors for AC-LEDs via defect modulation
Authors: Yuan Weihong , Pang Ran , Wang Shangwei , Tan Tao , Li Chengyu , Wang Chaowei , Zhang Hongjie 
Published: June 2022

AbstractAlternating current light-emitting diodes (AC-LEDs) have received significant attention from both academia and industry due to their remarkable benefits of more compact volume, cheaper manufacturing cost, greater energy usage efficiency, and longer service life. One of the most significant challenges for AC-LEDs is the flicker effect, which is mainly caused by the unavoidable 5–20 ms dimming time. Aiming to reduce the flicker effect, we designed a series of excellent blue-light excited cyan-emitting persistent luminescence (PersL) phosphors BaLu2Al2Ga2SiO12:Ce3+, Bi3+ via defect engineering of co-doping Bi3+. Interestingly, we found that co-doping Bi3+ not only effectively enhanced the PersL intensity, but also regulated the PersL lifetime of this phosphors. As the Bi3+ co-doping concentration increases to 0.01, the τ80 value (the time when the PersL intensity decreases to 80% of the initial intensity) increases from 0.24 to 19.61 ms, which proves to be effective in compensating the flicker effect of AC-LEDs. A new method of generating white light emission during the dimming time through adding the blue-light excited cyan PersL phosphor to the original orange-red PersL phosphor was proposed and an AC-LED lamp with a decreased percent flicker of 48.15% was fabricated, which is significantly better than the other currently reported AC-LED devices based on PersL phosphors. These results demonstrate that BaLu2Al2Ga2SiO12:Ce3+, Bi3+ might be an attractive material for low-flicker AC-LEDs.
Chronic spinal cord injury repair by NT3-chitosan only occurs after clearance of the lesion scar
Authors: Zhao Can , Rao Jia-Sheng , Duan Hongmei , Hao Peng , Shang Junkui , Fan Yubo , Zhao Wen , Gao Yudan , Yang Zhaoyang , Sun Yi Eve , Li Xiaoguang 
Published: June 2022

AbstractSpinal cord injury (SCI) is a severe damage usually leading to limb dysesthesia, motor dysfunction, and other physiological disability. We have previously shown that NT3-chitosan could trigger an acute SCI repairment in rats and non-human primates. Due to the negative effect of inhibitory molecules in glial scar on axonal regeneration, however, the role of NT3-chitosan in the treatment of chronic SCI remains unclear. Compared with the fresh wound of acute SCI, how to handle the lesion core and glial scars is a major issue related to chronic-SCI repair. Here we report, in a chronic complete SCI rat model, establishment of magnetic resonance-diffusion tensor imaging (MR-DTI) methods to monitor spatial and temporal changes of the lesion area, which matched well with anatomical analyses. Clearance of the lesion core via suction of cystic tissues and trimming of solid scar tissues before introducing NT3-chitosan using either a rigid tubular scaffold or a soft gel form led to robust neural regeneration, which interconnected the severed ascending and descending axons and accompanied with electrophysiological and motor functional recovery. In contrast, cystic tissue extraction without scar trimming followed by NT3-chitosan injection, resulted in little, if any regeneration. Taken together, after lesion core clearance, NT3-chitosan can be used to enable chronic-SCI repair and MR-DTI-based mapping of lesion area and monitoring of ongoing regeneration can potentially be implemented in clinical studies for subacute/chronic-SCI repair.
Ellagic acid improves benign prostate hyperplasia by regulating androgen signaling and STAT3
Authors: Park Woo Yong , Song Gahee , Park Ja Yeon , Ahn Kwang Seok , Kwak Hyun Jeong , Park Jinbong , Lee Jun Hee , Um Jae-Young 
Published: June 2022

AbstractsBenign prostate hyperplasia (BPH) is an age-related disease in men characterized by the growth of prostate cells and hyperproliferation of prostate tissue. This condition is closely related to chronic inflammation. In this study, we highlight the therapeutic efficacy of ellagic acid (EA) for BPH by focusing on the AR signaling axis and STAT3. To investigate the effect of EA on BPH, we used EA, a phytochemical abundant in fruits and vegetables, to treat testosterone propionate (TP)-induced BPH rats and RWPE-1 human prostate epithelial cells. The EA treatment reduced prostate weight, prostate epithelial thickness, and serum DHT levels in the TP-induced BPH rat model. In addition, EA improved testicular injury by increasing antioxidant enzymes in testis of the BPH rats. EA reduced the protein levels of AR, 5AR2, and PSA. It also induced apoptosis by regulating Bax, Bcl_xL, cytochrome c, caspase 9, and caspase 3 with increasing mitochondrial dynamics. Furthermore, EA reduced the expression of IL-6, TNF-α, and NF-κB, as well as phosphorylation of STAT3 and IκBα. These findings were also confirmed in TP-treated RWPE-1 cells. Overall, our data provide evidence of the role of EA in improving BPH through inhibition of AR and the STAT3 pathway.
Deficiency in endocannabinoid synthase DAGLB contributes to early onset Parkinsonism and murine nigral dopaminergic neuron dysfunction
Authors: Liu Zhenhua , Yang Nannan , Dong Jie , Tian Wotu , Chang Lisa , Ma Jinghong , Guo Jifeng , Tan Jieqiong , Dong Ao , He Kaikai , Zhou Jingheng , Cinar Resat , Wu Junbing , Salinas Armando G. , Sun Lixin , Kumar Mantosh , Sullivan Breanna T. , Oldham Braden B. , Pitz Vanessa , Makarious Mary B. , Ding Jinhui , Kung Justin , Xie Chengsong , Hawes Sarah L. , Wang Lupeng , Wang Tao , Chan Piu , Zhang Zhuohua , Le Weidong , Chen Shengdi , Lovinger David M. , Blauwendraat Cornelis , Singleton Andrew B. , Cui Guohong , Li Yulong , Cai Huaibin , Tang Beisha 
Published: June 2022

AbstractEndocannabinoid (eCB),2-arachidonoyl-glycerol (2-AG), the most abundant eCB in the brain, regulates diverse neural functions. Here we linked multiple homozygous loss-of-function mutations in 2-AG synthase diacylglycerol lipase β (DAGLB) to an early onset autosomal recessive Parkinsonism. DAGLB is the main 2-AG synthase in human and mousesubstantia nigra(SN) dopaminergic neurons (DANs). In mice, the SN 2-AG levels were markedly correlated with motor performance during locomotor skill acquisition. Genetic knockdown ofDaglbin nigral DANs substantially reduced SN 2-AG levels and impaired locomotor skill learning, particularly the across-session learning. Conversely, pharmacological inhibition of 2-AG degradation increased nigral 2-AG levels, DAN activity and dopamine release and rescued the locomotor skill learning deficits. Together, we demonstrate thatDAGLB-deficiency contributes to the pathogenesis of Parkinsonism, reveal the importance of DAGLB-mediated 2-AG biosynthesis in nigral DANs in regulating neuronal activity and dopamine release, and suggest potential benefits of 2-AG augmentation in alleviating Parkinsonism.
Single-cell characterization of step-wise acquisition of carboplatin resistance in ovarian cancer
Authors: Wenzel Alexander T. , Champa Devora , Venkatesh Hrishi , Sun Si , Tsai Cheng-Yu , Mesirov Jill P. , Bui Jack D. , Howell Stephen B. , Harismendy Olivier 
Published: June 2022

AbstractThe molecular underpinnings of acquired resistance to carboplatin are poorly understood and often inconsistent between in vitro modeling studies. After sequential treatment cycles, multiple isogenic clones reached similar levels of resistance, but significant transcriptional heterogeneity. Gene-expression based virtual synchronization of 26,772 single cells from 2 treatment steps and 4 resistant clones was used to evaluate the activity of Hallmark gene sets in proliferative (P) and quiescent (Q) phases. Two behaviors were associated with resistance: (1) broad repression in the P phase observed in all clones in early resistant steps and (2) prevalent induction in Q phase observed in the late treatment step of one clone. Furthermore, the induction of IFNα response in P phase or Wnt-signaling in Q phase were observed in distinct resistant clones. These observations suggest a model of resistance hysteresis, where functional alterations of the P and Q phase states affect the dynamics of the successive transitions between drug exposure and recovery, and prompts for a precise monitoring of single-cell states to develop more effective schedules for, or combination of, chemotherapy treatments.
Predicting the risk of pipe failure using gradient boosted decision trees and weighted risk analysis
Authors: Barton Neal Andrew , Hallett Stephen Henry , Jude Simon Richard , Tran Trung Hieu 
Published: June 2022

AbstractPipe failure prediction models are essential for informing proactive management decisions. This study aims to establish a reliable prediction model returning the probability of pipe failure using a gradient boosted tree model, and a specific segmentation and grouping of pipes on a 1 km grid that associates localised characteristics. The model is applied to an extensive UK network with approximately 40,000 km of pipeline and a 14-year failure history. The model was evaluated using the Receiver Operator Curve and Area Under the Curve (0.89), briers score (0.007) and Mathews Correlation Coefficient (0.27) for accuracy, indicating acceptable predictions. A weighted risk analysis is used to identify the consequence of a pipe failure and provide a graphical representation of high-risk pipes for decision makers. The weighted risk analysis provided an important step to understanding the consequences of the predicted failure. The model can be used directly in strategic planning, which sets long-term key decisions regarding maintenance and potential replacement of pipes.
Pupillometry and electroencephalography in the digit span task
Authors: Pavlov Yuri G. , Kasanov Dauren , Kosachenko Alexandra I. , Kotyusov Alexander I. , Busch Niko A. 
Published: June 2022

AbstractThis dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants recorded during 4 minutes of eyes-closed resting and during performance of a classic working memory task – digit span task with serial recall. The participants either memorized or just listened to sequences of 5, 9, or 13 digits presented auditorily every 2 seconds. The dataset can be used for (1) developing algorithms for cognitive load discrimination and detection of cognitive overload; (2) studying neural (event-related potentials and brain oscillations) and peripheral (electrocardiography, photoplethysmography, and pupillometry) physiological signals during encoding and maintenance of each sequentially presented memory item; (3) correlating cognitive load and individual differences in working memory to neural and peripheral physiology, and studying the relationship between the physiological signals; (4) integration of the physiological findings with the vast knowledge coming from behavioral studies of verbal working memory in simple span paradigms. The data are shared in Brain Imaging Data Structure (BIDS) format and freely available on OpenNeuro (https://openneuro.org/datasets/ds003838).
A focus groups study on data sharing and research data management
Authors: Donaldson Devan Ray , Koepke Joshua Wolfgang 
Published: June 2022

AbstractData sharing can accelerate scientific discovery while increasing return on investment beyond the researcher or group that produced them. Data repositories enable data sharing and preservation over the long term, but little is known about scientists’ perceptions of them and their perspectives on data management and sharing practices. Using focus groups with scientists from five disciplines (atmospheric and earth science, computer science, chemistry, ecology, and neuroscience), we asked questions about data management to lead into a discussion of what features they think are necessary to include in data repository systems and services to help them implement the data sharing and preservation parts of their data management plans. Participants identified metadata quality control and training as problem areas in data management. Additionally, participants discussed several desired repository features, including: metadata control, data traceability, security, stable infrastructure, and data use restrictions. We present their desired repository features as a rubric for the research community to encourage repository utilization. Future directions for research are discussed.
A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks
Authors: Blagec Kathrin , Barbosa-Silva Adriano , Ott Simon , Samwald Matthias 
Published: June 2022

AbstractResearch in artificial intelligence (AI) is addressing a growing number of tasks through a rapidly growing number of models and methodologies. This makes it difficult to keep track of where novel AI methods are successfully – or still unsuccessfully – applied, how progress is measured, how different advances might synergize with each other, and how future research should be prioritized. To help address these issues, we created the Intelligence Task Ontology and Knowledge Graph (ITO), a comprehensive, richly structured and manually curated resource on artificial intelligence tasks, benchmark results and performance metrics. The current version of ITO contains 685,560 edges, 1,100 classes representing AI processes and 1,995 properties representing performance metrics. The primary goal of ITO is to enable analyses of the global landscape of AI tasks and capabilities. ITO is based on technologies that allow for easy integration and enrichment with external data, automated inference and continuous, collaborative expert curation of underlying ontological models. We make the ITO dataset and a collection of Jupyter notebooks utilizing ITO openly available.
Charge balance calculations for mixed salt systems applied to a large dataset from the built environment
Authors: Godts Sebastiaan , Steiger Michael , Orr Scott Allan , De Kock Tim , Desarnaud Julie , De Clercq Hilde , Cnudde Veerle 
Published: June 2022

AbstractUnderstanding salt mixtures in the built environment is crucial to evaluate damage phenomena. This contribution presents charge balance calculations applied to a dataset of 11412 samples taken from 338 sites, building materials showing signs of salt deterioration. Each sample includes ion concentrations of Na+, K+, Mg2+, Ca2+, Cl−, NO3−, and SO42−adjusted to reach charge balance for data evaluation. The calculation procedure follows two distinct pathways: i) an equal adjustment of all ions, ii) adjustments to the cations in sequence related to the solubility of the theoretical solids. The procedure applied to the dataset illustrates the quantification of salt mixture compositions and highlights the extent of adjustments applied in relation to the sample mass to aid interpretation. The data analysis allows the identification of theoretical carbonates that could influence the mixture behavior. Applying the charge balance calculations to the dataset validated common ions found in the built environment and the identification of three typical mixture compositions. Additionally, the data can be used as direct input for thermodynamic modeling.
Transcriptome dataset of omental and subcutaneous adipose tissues from gestational diabetes patients
Authors: Salcedo-Tacuma David , Bonilla Leonardo , Montes Maria Cristina Geney , Gonzalez Jorge Ernesto Niño , Gutierrez Sandra Milena Sanchez , Chirivi Miguel , Contreras G. Andres 
Published: June 2022

AbstractGestational diabetes (GD) is one of the most prevalent metabolic diseases in pregnant women worldwide. GD is a risk factor for adverse pregnancy outcomes, including macrosomia and preeclampsia. Given the multifactorial etiology and the complexity of its pathogenesis, GD requires advanced omics analyses to expand our understanding of the disease. Next generation RNA sequencing (RNA-seq) was used to evaluate the transcriptomic profile of subcutaneous and omental adipose tissues (AT) collected from patients with gestational diabetes and matched controls. Samples were harvested during cesarean delivery. Results show differences based on anatomical location and provide whole-transcriptome data for further exploration of gene expression patterns unique to GD patients.
Lightsheet optical tweezer (LOT) for optical manipulation of microscopic particles and live cells
Authors: Mondal Partha Pratim , Baro Neptune , Singh Ankur , Joshi Prakash , Basumatary Jigmi 
Published: June 2022

AbstractOptical trapping and patterning cells or microscopic particles is fascinating. We developed a light sheet-based optical tweezer to trap dielectric particles and live HeLa cells. The technique requires the generation of a tightly focussed diffraction-limited light-sheet realized by a combination of cylindrical lens and high NA objective lens. The resultant field is a focussed line (along x-axis) perpendicular to the beam propagation direction (z-axis). This is unlike traditional optical tweezers that are fundamentally point-traps and can trap one particle at a time. Several spherical beads undergoing Brownian motion in the solution are trapped by the lightsheet gradient potential, and the time (to reach trap-centre) is estimated from the video captured at 230 frames/s. High-speed imaging of beads with increasing laser power shows a steady increase in trap stiffness with a maximum of 0.00118 pN/nm at 52.5 mW. This is order less than the traditional point-traps, and hence may be suitable for applications requiring delicate optical forces. On the brighter side, light sheet tweezer (LOT) can simultaneously trap multiple objects with the distinct ability to manipulate them in the transverse (xy) plane via translation and rotation. However, the trapped beads displayed free movement along the light-sheet axis (x-axis), exhibiting a single degree of freedom. Furthermore, the tweezer is used to trap and pattern live HeLa cells in various shapes and structures. Subsequently, the cells were cultured for a prolonged period of time (> 18 h), and cell viability was ascertained. We anticipate that LOT can be used to study constrained dynamics of microscopic particles and help understand the patterned cell growth that has implications in optical imaging, microscopy, and cell biology.
Dual-expression system for blue fluorescent protein optimization
Authors: Papadaki Stavrini , Wang Xinyue , Wang Yangdong , Zhang Hanbin , Jia Su , Liu Shuhong , Yang Minghan , Zhang Dongdong , Jia Jie-Min , Köster Reinhard W. , Namikawa Kazuhiko , Piatkevich Kiryl D. 
Published: June 2022

AbstractSpectrally diverse fluorescent proteins (FPs) provide straightforward means for multiplexed imaging of biological systems. Among FPs fitting standard color channels, blue FPs (BFPs) are characterized by lower brightness compared to other spectral counterparts. Furthermore, available BFPs were not systematically characterized for imaging in cultured mammalian cells and common model organisms. Here we introduce a pair of new BFPs, named Electra1 and Electra2, developed through hierarchical screening in bacterial and mammalian cells using a novel dual-expression vector. We performed systematic benchmarking of Electras against state-of-art BFPs in cultured mammalian cells and demonstrated their utility as fluorescent tags for structural proteins. The Electras variants were validated for multicolor neuroimaging in Caenorhabditis elegans, zebrafish larvae, and mice in comparison with one of the best in the class BFP mTagBFP2 using one-photon and two-photon microscopy. The developed BFPs are suitable for multicolor imaging of cultured cells and model organisms in vivo. We believe that the described dual-expression vector has a great potential to be adopted by protein engineers for directed molecular evolution of FPs.
Neonatal neurologic emergencies requiring access to paediatric emergency units: a retrospective observational study
Authors: Falsaperla Raffaele , Vitaliti Giovanna , Sciacca Monica , Tardino Lucia , Marino Simona Domenica , Marino Silvia , Moscheo Carla , Meli Mariaclaudia , Vitaliti Maria Concetta , Barbagallo Massimo , Di Stefano Vita Antonella , Saporito Marco Andrea Nicola , Ruggieri Martino 
Published: June 2022

AbstractHerein, authors present a retrospective, multi-center study to determine the number of accesses to Pediatric Emergency Unit (PEU) of patients within 28 days of life, admitted to (1) the Acute and Emergency Pediatric Unit, San Marco University Hospital, Catania, Italy; (2) Garibaldi Hospital for Emergency Care, Catania, Italy; (3) Cannizzaro Hospital for Emergency Care, Catania, Italy. We included neonates admitted for neurologic problems, from January 2015 to December 2020, to the 1—Acute and Emergency Access of the San Marco University Hospital, Catania, Italy [observation center 1 (OC1)]; 2—Garibaldi Hospital for Emergency Care, Catania, Italy (Observation Center 2—OC2); 3—Cannizzaro Hospital for Emergency Care, Catania, Italy (Observation Center 3—OC3). For each patient, we evaluated the severity of urgency, by studying the admission triage-coloured codes, the clinical data at admission and the discharge diagnosis. Neonates who had access to PEU were 812 in the OC1, 3720 in the OC2, and 748 in the OC3 respectively; 69 (8.4%), 138 (3.7%), and 55 (7.4%) was the proportion of neonatal accesses for neurological conditions. We observed that in the study period, the three hospitals had an important decrease of pediatric accesses to their PEU, but the proportion of neonates who had access to the OC1 for neurologic diseases, with respect to the total neonatal accesses, remained stable. We found that the most frequent neurologic disease for which newborns had access to PEU was Cyanosis, (46.1% of all neonatal accesses). Apnea was the second most frequent cause, with a number of 76 accesses (29%). In the literature there are numerous studies on the assessment of diseases that most frequently concern the pediatric patient in an emergency room, but there are very few references on neonatal accesses for urgent neurologic diseases. Therefore, appropriate training is required to avoid unnecessary tests without overlooking potentially serious conditions.