bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flood Risk and Adaptation in Floodplain Cities - Toward Flood-Resilient Urban Design in the Mekong Delta
Authors: Long Nguyen Van , Phi Pham Hoang , Thinh Do Duy , The Ngo Thi Minh 
Published: April 2020

Abstract
Studies in Mekong Delta (MKD) proves that experiments and observations in water management over generations lead the indigenous people to the understanding of complex physical - ecological principles of the environment and thereby to sustain local resources. By studying the complexity of MKD landscape system on both natural and urban aspects, the paper shows (1) the logic of complex equilibrium principle in territorial organization and (2) that the combination of indigenous wisdom “living with flood” helps to maintain local landscape system in the context of serious flooding threats in the lower Mekong region. It is argued that functions of indigenous landscape and wisdom of “living with flood” should be respected and applied to urban design to enhance flood adaptation over time.
Based on STM32F103 cowshed environment intelligent control system
Authors: Wang Xuhai , Li Weiguo , Wang Lili , Zhang Yi , Zhao He 
Published: April 2020

Abstract
The environment of the barn affects the growth, health, reproduction and fattening of the cattle. In order to control the environment of the barn, an intelligent control system based on STM32F103 was designed to monitor and control the temperature, humidity and toxic and harmful gases such as SO2 and NH3. The system adopts STM32F103 as the control core; air pollution sensor MQ135, humidity sensor DHT11, temperature sensor DS18B20 is the system data acquisition device; air purification box (pump, condenser, heating plate, fan) is the system execution device, PC end data analysis software. The experiment was carried out in Mengniu dairy farm in Shengle Economic Development Zone, Hohhot City. The results show that the system can monitor and control various environmental factors stably and reliably.
Research of the Assessment System Based on C2C Website
Authors: Juan Wang , Bin Tian 
Published: April 2020

Abstract
In this paper, in order to evaluate the taobao’s books credit, it analyses the current situation and loopholes in the current credit evaluation system of credit evaluation system, and points out the future development trend and innovation; finally, combining with the case, puts forward the countermeasures and suggestions of the development of credit system in china.
Chinese Abrupt Event Recognition Based on CBiGRU-Att Model
Authors: Yin Haoran , Cao Jinxuan , Du Yanhui , Wang Guodong , Cao Luzhe , Wang Xing , Zhang Houlu 
Published: April 2020

Abstract
Aiming at the problem of poor portability of traditional event recognition methods, the need for a large number of learning features, and the poor interpretability of recurrent neural networks in different information features about degrees of importance, this paper proposes a Chinese abrupt event recognition method based CBiGRU-Att model. Firstly, the text corpus was preprocessed.Word2vec was used to generate word vectors and the local features of the word vectors were extracted by using the convolutional layer. Then the extracted features were used as the input of the BiGRU to obtain higher-order context features, and introduced the attention mechanism to weight feature. Finally, softmax function was used to activate the learned features and output the recognition results. Simulation results show that this method is superior to other methods in the precision and recall rate for Chinese abrupt event recognition.
Optimal Model of Fire Fighting and Rescue Operational Plan Based on Utility Function
Authors: He Wanguo , Xie Hao 
Published: April 2020

Abstract
The fire brigade was a specialized and militarized team that fighted fires and other disasters, whose main duties were to dispose of fires and other disasters in order to protect people’s lives and property. Under the new situation, with the increasing complexity of disaster accidents and the status quo of the equipment of the fire brigade, firefighting and rescue work presented the characteristics of complexity, diversity and arduousness. Therefore, in order to complete the firefighting rescue faster and better, and avoid the disadvantages of the command, it was particularly important to carry out the plan optimization. In view of this, an optimization model of firefighting and rescue operational plan was proposed by this paper to determine the good and bad of the plan by using the utility function model to do quantitative calculation. The construction principles and specific calculation steps of the utility function model were firstly introduced by the paper. Then the actual case was combined with to establish the index system of a fire fighting and rescue optimal plan to solve the utility function value. Finally, the weights and utility function values were used to determine the comprehensive evaluation value, in order to select the best operational plan. The feasibility of the plan waiting for the selection was transformed by this model through the utility function, making it more comparable and easy to optimize the plan. The determination of the optimal plan improved the decision-making ability of the commander, and the operation mechanism to guide and improve the firefighting rescue, thereby to effectively.
Optimization Analysis of Parametric passive Energy-saving Design for Residential Buildings
Authors: Tang Meng , Zhang Hui , Han Jingyi 
Published: April 2020

Abstract
Taking residential building in hot summer and cold winter area as research object, this paper established a model based on passive energy-saving design, and combined artificial neural network(ANN) and genetic algorithm(GA) models to analyze lighting, sunlight, and plot ratio,etc.. In addition, for the experimental test of multiple sets of data samples, the optimized passive design combination scheme was sought to verify the possibility of parametric optimization design based on genetic algorithm(GA).
The large space Investigation and Analysis of railway station in winter: Taking Zhengzhou east and Changsha south railway stations as cases
Authors: Zhu Fucheng , Zhang Hui , Ding Si 
Published: April 2020

Abstract
As the landmark building of the city, railway station has the characteristics of large space, dense crowd and comfortable characteristics, while the waiting hall is an important space form in railway passenger station, and its thermal environment directly influences the human’s sensory experience. Taking Zhengzhou east station, Changsha south railway station as an example, through field testing and investigation in winter, to get the test parameters such as temperature, humidity, wind speed, and combining the investigation and study the thermal environment and comfortable condition, and discusses the possible problems.
Research on PA Digital Predistortion Simulation Based on an Improved Model
Authors: Liu Jinting , Zhao Ruiyu , Liu Wenjing , Zeng Guoqing 
Published: April 2020

Abstract
Based on the study of the traditional power amplifier predistortion model, this paper proposes a new model. In order to verify the ability of the new model to compensate for the nonlinear distortion of the power amplifier, this paper designs a predistortion joint verification system based on ADS and MATALB, tested with a three-carrier LTE signal. Simulation results show that t the ACPR (Adjacent Channel Power Ratio) of the PA output signal compensated by predistorter is improved 17.230dB compared with the PA (Power Amplifier) original output signal.
Direct growth of graphene on GaN via plasma-enhanced chemical vapor deposition under N2 atmosphere
Authors: Mischke Jan , Pennings Joel , Weisenseel Erik , Kerger Philipp , Rohwerder Michael , Mertin Wolfgang , Bacher Gerd 
Published: April 2020

Abstract
One of the bottlenecks in the implementation of graphene as a transparent electrode in modern opto-electronic devices is the need for complicated and damaging transfer processes of high-quality graphene sheets onto the desired target substrates. Here, we study the direct, plasma-enhanced chemical vapor deposition (PECVD) growth of graphene on GaN-based light-emitting diodes (LEDs). By replacing the commonly used hydrogen (H2) process gas with nitrogen (N2), we were able to suppress GaN surface decomposition while simultaneously enabling graphene deposition at <800 °C in a single-step growth process. Optimizing the methane (CH4) flow and varying the growth time between 0.5 h and 8 h, the electro-optical properties of the graphene layers could be tuned to sheet resistances as low as ∼1 kΩ/□ with a maximum transparency loss of ∼12%. The resulting high-quality graphene electrodes show an enhanced current spreading effect and an increase of the emission area by a factor of ∼8 in operating LEDs.
Development of use-specific high-performance cyber-nanomaterial optical detectors by effective choice of machine learning algorithms
Authors: Hejazi Davoud , Liu Shuangjun , Farnoosh Amirreza , Ostadabbas Sarah , Kar Swastik 
Published: April 2020

AbstractDue to their inherent variabilities, nanomaterials-based sensors are challenging to translate into real-world applications, where reliability and reproducibility are key. Machine learning can be a powerful approach for obtaining reliable inferences from data generated by such sensors. Here, we show that the best choice of ML algorithm in a cyber-nanomaterial detector is largely determined by the specific use-considerations, including accuracy, computational cost, speed, and resilience against drifts and long-term ageing effects. When sufficient data and computing resources are provided, the highest sensing accuracy can be achieved by the k-nearest neighbors (kNNs) and Bayesian inference algorithms, however, these algorithms can be computationally expensive for real-time applications. In contrast, artificial neural networks (ANNs) are computationally expensive to train (off-line), but they provide the fastest result under testing conditions (on-line) while remaining reasonably accurate. When access to data is limited, support vector machines (SVMs) can perform well even with small training sample sizes, while other algorithms show considerable reduction in accuracy if data is scarce, hence, setting a lower limit on the size of required training data. We also show by tracking and modeling the long-term drifts of the detector performance over a one year time-frame, it is possible to dramatically improve the predictive accuracy without any re-calibration. Our research shows for the first time that if the ML algorithm is chosen specific to the use-case, low-cost solution-processed cyber-nanomaterial detectors can be practically implemented under diverse operational requirements, despite their inherent variabilities.
Utilisation of general practice health assessments around an aged care assessment is associated with lower mortality risk in older Australians
Authors: Visvanathan Renuka , Amare Azmeraw T , Lang Catherine , Khadka Jyoti , Yu Solomon , Beilby Justin , Wesselingh Steve , Inacio Maria C 
Published: April 2020

AbstractObjective(i) to describe the general practitioner utilisation of health assessments, management plans, coordination of team care arrangements and medication review item numbers within 6 months of an aged care eligibility assessment for home care packages (HCP) and (ii) investigate the impact of health assessments on the risk of mortality and entry into permanent residential aged care (PRAC) of individuals accessing HCP.Design and settingretrospective cohort study utilising data from the Registry of Senior Australians (ROSA) was conducted.Subjects75,172 individuals aged ≥75 years who received HCP between 2011 and 2015.Outcome measurefor objective 1: the use of comprehensive assessments (Medicare Benefits Schedule (MBS) items 705 or 707), management plans (MBS 721), coordination of team care arrangements (MBS 723), and medication reviews (MBS 900). For objective 2: time to death and entry into PRAC.Resultsof the 75,172 individuals, 28.2% (95% confidence interval (CI): 27.8–8.5%) had comprehensive assessments, 36.7% (95% CI: 36.3–37.0%) had management plans, 33.0% (95% CI: 32.7–33.3%) received coordination of team care arrangements and 5.4% (95% CI: 5.2–5.5%) had medication reviews. Individuals with a comprehensive assessment had a 5% lower risk of mortality (adjusted hazard ratio (aHR), 95% CI = 0.95, 0.92–0.98) but 5% higher risk of transition to PRAC (adjusted subdistribution HRs, 95% CI = 1.05, 1.02–1.08) compared to those who did not have these services.Conclusionthe utilisation of health assessments was associated with a lower risk of mortality. There is an opportunity for increased use of item numbers in frailer individuals.
History of Early Childhood Infections and Acute Lymphoblastic Leukemia Risk Among Children in a US Integrated Health-Care System
Authors: Morimoto Libby M , Kwan Marilyn L , Deosaransingh Kamala , Munneke Julie R , Kang Alice Y , Quesenberry Charles , Kogan Scott , de Smith Adam J , Metayer Catherine , Wiemels Joseph L 
Published: April 2020

Abstract
Surrogate measures of infectious exposures have been consistently associated with lower childhood acute lymphoblastic leukemia (ALL) risk. However, recent reports have suggested that physician-diagnosed early-life infections increase ALL risk, thereby raising the possibility that stronger responses to infections might promote risk. We examined whether medically diagnosed infections were related to childhood ALL risk in an integrated health-care system in the United States. Cases of ALL (n = 435) diagnosed between 1994–2014 among children aged 0–14 years, along with matched controls (n = 2,170), were identified at Kaiser Permanente Northern California. Conditional logistic regression was used to estimate risk of ALL associated with history of infections during first year of life and across the lifetime (up to diagnosis). History of infection during first year of life was not associated with ALL risk (odds ratio (OR) = 0.85, 95% confidence interval (CI): 0.60, 1.21). However, infections with at least 1 medication prescribed (i.e., more “severe” infections) were inversely associated with risk (OR = 0.42, 95% CI: 0.20, 0.88). Similar associations were observed when the exposure window was expanded to include medication-prescribed infections throughout the subjects’ lifetime (OR = 0.52, 95% CI: 0.32, 0.85).
Change in Balance Performance Predicts Neurocognitive Dysfunction and Symptom Endorsement in Concussed College Athletes
Authors: DaCosta Andrew , Crane Andrew , Webbe Frank , LoGalbo Anthony 
Published: April 2020

AbstractObjectiveFollowing concussion, there is an array of sequelae including symptom burden, neurocognitive dysfunction, and balance impairment. However, the magnitude of change in balance performance has yet to be explored fully regarding its relationship with neurocognitive functioning or symptom endorsement. The present study hypothesized that the magnitude of change in balance performance from baseline to post-trauma would have unique predictive power in identifying acute clinical outcomes.MethodSixty-eight college athletes completed annual preparticipation baseline testing and were later diagnosed with a concussion.ResultsLinear regressions determined that the magnitude of change in balance performance was a better predictor of neurocognitive dysfunction and endorsement of “balance problems” than post-trauma balance performance alone.ConclusionsThese findings highlight the importance of incorporating balance measurements during preparticipation baseline assessment.
Characterizing the Microbiome of the Contracted Breast Capsule Using Next Generation Sequencing
Authors: Cook Jonathan , Holmes Casey J , Wixtrom Roger , Newman Martin I , Pozner Jason N 
Published: April 2020

Abstract

Background
Recent work suggests that bacterial biofilms play a role in capsular contracture (CC). However, traditional culture techniques provide only a limited understanding of the bacterial communities present within the contracted breast. Next generation sequencing (NGS) represents an evolution of polymerase chain reaction technology that can sequence all DNA present in a given sample.

Objectives
The aim of this study was to utilize NGS to characterize the bacterial microbiome of the capsule in patients with CC following cosmetic breast augmentation.

Methods
We evaluated 32 consecutive patients with Baker grade III or IV CC following augmentation mammoplasty. Specimens were obtained from all contracted breasts (n = 53) during capsulectomy. Tissue specimens from contracted capsules as well as intraoperative swabs of the breast capsule and implant surfaces were obtained. Samples were sent to MicroGenDX Laboratories (Lubbock, TX) for NGS.

Results
Specimens collected from 18 of 32 patients (56%) revealed the presence of microbial DNA. The total number of positive samples was 22 of 53 (42%). Sequencing identified a total of 120 unique bacterial species and 6 unique fungal species. Specimens with microbial DNA yielded a mean [standard deviation] of 8.27 [4.8] microbial species per patient. The most frequently isolated species were Escherichia coli (25% of all isolates), Diaphorobacter nitroreducens (12%), Cutibacterium acnes (12%), Staphylococcus epidermidis (11%), fungal species (7%), and Staphylococcus aureus (6%).

Conclusions
NGS enables characterization of the bacterial ecosystem surrounding breast implants in unprecedented detail. This is a critical step towards understanding the role this microbiome plays in the development of CC.

Level of Evidence: 4
A Simple Alternative: A Minimal-Touch Technique for Placing Breast Implants
Authors: Molinar Vanessa , Chopra Karan , Gryskiewicz Joe 
Published: April 2020

Abstract

This is a single-surgeon experience detailing the senior author’s (J.G.) minimal-touch technique for placement of breast implants. Adams et al. 14-point plan has been incorporated into the technique, and the implant box paper cover sheet is used as a barrier between the patient and the implant near the incision during placement. Over a period of ten years, the senior author reports a less than 1% development in capsular contracture using this technique and no implant fractures. These findings elucidate the importance of describing this alternative technique to other barriers currently on the market.

Level of Evidence: 4
Phenotypic flexibility in background-mediated color change in sticklebacks
Authors: Tibblin Petter , Hall Marcus , Svensson P Andreas , Merilä Juha , Forsman Anders 
Published: April 2020

AbstractPhenotypic flexibility may incur a selective advantage in changing and heterogeneous environments, and is increasingly recognized as an integral aspect of organismal adaptation. Despite the widespread occurrence and potential importance of rapid and reversible background-mediated color change for predator avoidance, knowledge gaps remain regarding its adaptive value, repeatability within individuals, phenotypic correlates, and whether its expression is context dependent. We used manipulative experiments to investigate these issues in two fish species, the three-spined stickleback (Gasterosteus aculeatus) and nine-spined stickleback (Pungitius pungitius). We sequentially exposed individuals to dark and light visual background treatments, quantified color change from video recordings, and examined associations of color change with phenotypic dimensions that can influence the outcome of predator-prey interactions. G. aculeatus expressed a greater degree of color change compared to P. pungitius. In G. aculeatus, the color change response was repeatable within individuals. Moreover, the color change response was independent of body size but affected by sex and boldness, with males and bolder individuals changing less. Infection by the parasite Schistocephalus solidus did not affect the degree of color change, but it did modulate its association with sex and boldness. G. aculeatus adjusted the expression of color change in response to predation risk, with enhanced color change expression in individuals exposed to either simulated attacks, or olfactory cues from a natural predator. These results provide novel evidence on repeatability, correlated traits, and context dependence in the color change response and highlight how a suite of factors can contribute to individual variation in phenotypic flexibility.
HotSpot3D web server: an integrated resource for mutation analysis in protein 3D structures
Authors: Chen Shanyu , He Xiaoyu , Li Ruilin , Duan Xiaohong , Niu Beifang 
Published: April 2020

Abstract

Motivation
HotSpot3D is a widely used software for identifying mutation hotspots on the 3D structures of proteins. To further assist users, we developed a new HotSpot3D web server to make this software more versatile, convenient and interactive.

Results
The HotSpot3D web server performs data pre-processing, clustering, visualization and log-viewing on one stop. Users can interactively explore each cluster and easily re-visualize the mutational clusters within browsers. We also provide a database that allows users to search and visualize proximal mutations from 33 cancers in the Cancer Genome Atlas.

Availability and implementation
http://niulab.scgrid.cn/HotSpot3D/.

Supplementary information
Supplementary data are available at Bioinformatics online.
Are Fluoroquinolones or Macrolides Better for Treating Legionella Pneumonia? A Systematic Review and Meta-analysis
Authors: Jasper Annie S , Musuuza Jackson S , Tischendorf Jessica S , Stevens Vanessa W , Gamage Shantini D , Osman Fauzia , Safdar Nasia 
Published: April 2020

Abstract

Background
The Infectious Diseases Society of America recommends either a fluoroquinolone or a macrolide as a first-line antibiotic treatment for Legionella pneumonia, but it is unclear which antibiotic leads to optimal clinical outcomes. We compared the effectiveness of fluoroquinolone versus macrolide monotherapy in Legionella pneumonia using a systematic review and meta-analysis.

Methods
We conducted a systematic search of literature in PubMed, Cochrane, Scopus, and Web of Science from inception to 1 June 2019. Randomized controlled trials and observational studies comparing macrolide with fluoroquinolone monotherapy using clinical outcomes in patients with Legionella pneumonia were included. Twenty-one publications out of an initial 2073 unique records met the selection criteria. Following PRISMA guidelines, 2 reviewers participated in data extraction. The primary outcome was mortality. Secondary outcomes included clinical cure, time to apyrexia, length of hospital stay (LOS), and the occurrence of complications. The review and meta-analysis was registered with PROSPERO (CRD42019132901).

Results
Twenty-one publications with 3525 patients met inclusion criteria. The mean age of the population was 60.9 years and 67.2% were men. The mortality rate for patients treated with fluoroquinolones was 6.9% (104/1512) compared with 7.4% (133/1790) among those treated with macrolides. The pooled odds ratio assessing risk of mortality for patients treated with fluoroquinolones versus macrolides was 0.94 (95% confidence interval, .71–1.25, I2 = 0%, P = .661). Clinical cure, time to apyrexia, LOS, and the occurrence of complications did not differ for patients treated with fluoroquinolones versus macrolides.

Conclusions
We found no difference in the effectiveness of fluoroquinolones versus macrolides in reducing mortality among patients with Legionella pneumonia.