bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of 2D and 3D Video Transitions Based on EEG Power
Authors: Manshouri Negin , Melek Mesut , Kayıkcıoglu Temel 
Published: August 2020

Abstract
Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations it creates. People see their environment as 3D because of their eye structure. In this study, it is hypothesized that people lose their perception of depth during sleepy moments and that there is a sudden transition from 3D vision to 2D vision. Regarding these transitions, the EEG signal analysis method was used for deep and comprehensive analysis of 2D and 3D brain signals. In this study, a single-stream anaglyph video of random 2D and 3D segments was prepared. After watching this single video, the obtained EEG recordings were considered for two different analyses: the part involving the critical transition (transition state) and the state analysis of only the 2D versus 3D or 3D versus 2D parts (steady state). The main objective of this study is to see the behavioral changes of brain signals in 2D and 3D transitions. To clarify the impacts of the human brain’s power spectral density (PSD) in 2D-to-3D (2D_3D) and 3D-to-2D (3D_2D) transitions of anaglyph video, nine visual healthy individuals were prepared for testing in this pioneering study. Spectrogram graphs based on short time Fourier transform (STFT) were considered to evaluate the power spectrum analysis in each EEG channel of transition or steady state. Thus, in 2D and 3D transition scenarios, important channels representing EEG frequency bands and brain lobes will be identified. To classify the 2D and 3D transitions, the dominant bands and time intervals representing the maximum difference of PSD were selected. Afterward, effective features were selected by applying statistical methods such as standard deviation, maximum (max) and Hjorth parameters to epochs indicating transition intervals. Ultimately, k-nearest neighbors, support vector machine and linear discriminant analysis (LDA) algorithms were applied to classify 2D_3D and 3D_2D transitions. The frontal, temporal and partially parietal lobes show 2D_3D and 3D_2D transitions with a good classification success rate. Overall, it was found that Hjorth parameters and LDA algorithms have 71.11% and 77.78% classification success rates for transition and steady state, respectively.
An Opinion Spread Prediction Model With Twitter Emotion Analysis During Algeria’s Hirak
Authors: Drif Ahlem , Hadjoudj Khalil 
Published: August 2020

AbstractSocial media is believed to have played a central role in the mobilization of Algerian citizens to peaceful protest against their country’s corrupt regime. Since no one foresaw these protests (called ‘The Revolution of Smiles’ or ‘The Hirak Movement’), this research conducted social media analysis to elicit vital insights about both the intensity of sentiment and the influence of social media on this unexpected instigation of political protest. This work built a deep learning model and analysed the influence of content, sentiment and user features on information spread. The model used the learning capability of a long short-term memory network to predict ‘retweetability’. Experiments were conducted on two real-world datasets (Hirak and Brexit) collected from Twitter. User features were found to be a key element in the diffusion of information. The strongest feelings about event context actively influenced the spread of tweets. The Twitter emotion corpus was found to improve the predictive ability of the model developed in this study.
Food Resource Sharing of Alder Leaf Beetle Specialists (Coleoptera: Chrysomelidae) as Potential Insect–Plant Interface for Horizontal Transmission of Endosymbionts
Authors: Cardoso Anabela , Gómez-Zurita Jesús 
Published: August 2020

Abstract
Recent studies suggest that endosymbionts of herbivore insects can be horizontally transferred to other herbivores feeding on the same host plants, whereby the plant acts as an intermediate stage in the chain of transmission. If this mechanism operates, it is also expected that insect communities sharing the same host plant will have higher chances to share their endosymbionts. In this study, we use a high-throughput 16S rRNA metabarcoding approach to investigate the presence, diversity, and potential sharing of endosymbionts in several species of leaf beetles (Coleoptera: Chrysomelidae) of a local community specialized on an alder diet in North America. Rickettsia and Wolbachia were predominant in the sample, with strong evidence for each species having their own dominant infection, of either or both types of bacteria. However, all species shared a much lower proportion of a particular Wolbachia type, compatible with the same strain dominant in one of the species of leaf beetles. Crucially, the same 16S rRNA haplotype of Wolbachia was found on alder leaf extracts. The combined evidence and the absence of this strain in a syntopic species of leaf beetle feeding on a different host plant support the hypothesis that at least the initial stages of the mechanism that would allow horizontal transmission of endosymbionts across species feeding on the same plant is possible. The accessibility and characteristics of endosymbiont associations of this system make it suitable for deeper analyses of their diversity and transmission in natural conditions.
The US–Chinese trade war: an event study of stock-market responses
Authors: Egger Peter H , Zhu Jiaqing 
Published: August 2020

SUMMARY
At the beginning of 2018, President Trump started taking protective tariff measures against products from China in a sequence of events which started a ‘trade war’ between the United States and China. As the value of trade flows affected on both sides rose to a significant amount, this episode will become an interesting research object in the future. A thorough analysis of many outcomes of interest is at this point in time – and even will be in the next few years – impossible due to a lack of data which will only become available at a later point. However, as is customary with historical preferential liberalizations in trade agreements and potentially the opposite of it through Brexit, it is possible to gauge consequences of this ‘trade war’ or ‘trade dispute’ when focusing on the stocks of listed companies around related tariff-change announcements or implementations by the United States and China in the relevant time span. This paper proposes such an analysis and finds, very much consistent with the rumours from business, that the associated protectionist tariffs appear to have done to a large extent the opposite of what was intended: they hurt domestic firms in targeted and also other, untargeted sectors of an acting country, and they affect third countries and territories which are not even party to the ‘trade war’ or ‘dispute’.
Estimating Forest Productivity Using Site Characteristics, Multipoint Measures, and a Nonparametric Approach
Authors: Hemingway Halli , Kimsey Mark 
Published: August 2020

Abstract

Understanding the productivity of forestland is essential in sustainable management of forest ecosystems. The most common measure of site productivity is breast height–age site index (BHASI). BHASI has limitations as a productivity measure and can compound error in predictive models. We explored the accuracy of productivity predictions using an alternative productivity measure (10-meter site index) and a nonparametric approach. An orthogonal sampling design ensured samples were collected across the range of conditions known to influence Douglas-fir (Pseudotsuga menziesii var. glauca) height-growth rates. Using climate, soil, and topographic data along with 10-meter site index measurements, we compared five possible models to estimate forest productivity. Model parameters, performance, and predictions were compared. Twelve validation sites were used to test the accuracy of model predictions. Model performance was significantly improved when smoothing span values were optimized and elevation was added as a predictor. A four-predictor nonparametric model with a bias-corrected Akaike information criterion–optimized smoothing span value produced the most accurate results and was used to produce forest productivity maps for the study area. The low resolution of currently available climatic data and the complex nature of the study area landscape necessitate a topographic variable for accurate productivity predictions.

Study Implications
Defining and understanding forest productivity is of interest to a wide variety of natural resource professionals including ecologists, climate change experts, forest biometricians, and forest managers. A new method of defining forest productivity using multipoint height-age pairs at 10 and 20 meters and calculated growth rates combined with an appropriate landscape-scale stratification and a nonparametric approach provides accurate productivity estimates. This method is more widely applicable and more precise for specific locations than previous productivity estimation methods. Better productivity and tree growth information will provide more accurate estimates of future forest condition and structure.
Quality and Intensity of Light in the In Vitro Development of Microstumps of Eucalyptus urophylla in a Photoautotrophic System
Authors: Miranda Natane A , Xavier Aloisio , Otoni Wagner C , Gallo Ricardo , Gatti Kellen C , de Moura Luciana C , Souza Denys M S C , Maggioni Joane H , Santos Suellen S de O 
Published: August 2020

Abstract

The quality and quantity of light are important factors in controlling in vitro plant growth in photoautotrophic systems. The aim of this study was to evaluate the influence of light quality (fluorescent, white, red, blue, red/blue, and distant red) on microstumps of a Eucalyptus urophylla clone in an in vitro photoautotrophic system, as well as the intensity of fluorescent light (60, 85, 100, and 140 μmol m–2 s–1) in the growth and production of microcutting. The number of shoots and microcutting, the size of the largest shoot, the stomatal density, chlorophyll, and carotenoid content were analyzed. Light quality altered plant growth, and fluorescent light intensity did not affect the microstumps’ production during the evaluation period. In white light-emitting diode (LED) light, there was higher production of carotenoids, with a lower initial production of microcuttings. A smaller number of shoots were obtained in blue LED. In general, the different qualities and light intensities tested allowed for the growth of the Eucalyptus urophylla clone grown in vitro, making it possible to obtain microcuttings under photoautotrophic cultivation.

Study Implications
In vitro propagation is a stressful process for plants and has limitations for commercial-scale Eucalyptus production. Fluorescent lamps, closed containers, and high sucrose concentrations are traditionally used. To reduce costs and improve production, the use of efficient light sources and photoautotrophic cultivation systems become alternatives. This study investigated the influence of light on the in vitro growth of a Eucalyptus clone in a photoautotrophic system. The quality was more important than the intensity of light. Foresters will be able to indicate the use of LEDs (light-emitting diodes) as a replacement for fluorescent lamps. This approach is useful in enhancing micropropagation techniques.
A novel fluorescent lung-marking technique using the photodynamic diagnosis endoscope system and vitamin B2
Authors: Tanaka Nobuhiro , Waseda Ryuichi , Saito Daisuke , Ohsima Masahiro , Matsumoto Isao , Takemura Hirofumi 
Published: August 2020

Abstract

OBJECTIVES
For small pulmonary nodules that are unidentifiable by palpation or in endoscopic surgeries wherein palpation is not feasible, visualizing their location is necessary when performing pulmonary sublobar resection procedures, such as wedge resection or segmentectomy. We invented a new transbronchial lung-marking technique using the photodynamic diagnosis endoscope system and vitamin B2 and examined its feasibility and safety via porcine studies.

METHODS
We established the marking procedure in pigs and examined the marking clarity and size, fluorescence intensity and duration and possible complications. In another study, sublobar resection for virtual target lesions was performed in pigs based on the fluorescent markings. The procedure duration, marking visibility, surgical margin from the lesions and technique-related complications were assessed.

RESULTS
All 36 markings in 6 pigs were identifiable and were widely distributed over the right lung. The median diameter and fluorescence intensity at 60 min after marking were 6.0 (5.5–6.7) mm and 137.5 (122–168), respectively. All 18 markings for the 6 virtual target lesions (3 markings for each target) were clearly identified, and all target lesions were found in the resected specimens. The median duration per marking was 244 (194–255) seconds. The shortest median surgical margin from a target lesion was 11.5 (9.3–13.5) mm. No procedure-related complications were observed.

CONCLUSIONS
This novel transbronchial fluorescent lung-marking technique was useful and safe in sublobar resections for small non-palpable pulmonary lesions.
Updated long-term outcomes of salvage surgery after stereotactic body radiotherapy for early-stage non-small-cell lung cancer
Authors: Yamanashi Keiji , Hamaji Masatsugu , Matsuo Yukinori , Kishi Noriko , Chen-Yoshikawa Toyofumi Fengshi , Mizowaki Takashi , Date Hiroshi 
Published: August 2020

Abstract
There is dearth of data regarding the long-term survival outcomes of salvage surgery after stereotactic body radiotherapy for early-stage non-small-cell lung cancer, as previous studies have included a short follow-up period. There is also scarce information on the management of re-relapse in previous studies. This study examined the long-term survival outcomes of patients who underwent salvage surgery for isolated local relapse (LR). We reviewed consecutive patients who underwent salvage surgery for isolated LR after stereotactic body radiotherapy for early-stage non-small-cell lung cancer between 1999 and 2015. All patients were followed up until death or at least 5 years from salvage surgery. Twelve patients were included for analysis. The median follow-up from isolated LR was 62.4 (range: 14.3–152.1) months. The 5-year overall survival rate was 58.3%, updated from 79.5% in our previous report. During the interim, new re-relapses did not occur, whereas there were 5 additional deaths. The median survival after re-relapse was 32.6 months. Our follow-up report confirmed that our patient selection for salvage surgery appeared to be appropriate and that long-term follow-up is required to assess the outcomes of patients undergoing salvage surgery. Long-term follow-up would provide detailed information on late re-relapses, treatment and outcomes of re-relapses and mortality from any causes.
Risperidone and 5-HT2A Receptor Antagonists Attenuate and Reverse Cocaine-Induced Hyperthermia in Rats
Authors: Okada Tsuyoshi , Shioda Katsutoshi , Makiguchi Akiko , Suda Shiro 
Published: August 2020

Abstract

Background
Cocaine (benzoylmethylecgonine) is one of the most widely used illegal psychostimulant drugs worldwide, and mortality from acute intoxication is increasing. Suppressing hyperthermia is effective in reducing cocaine-related mortality, but a definitive therapy has not yet been found. In this study, we assessed the ability of risperidone to attenuate acute cocaine-induced hyperthermia and delineated the mechanism of its action.

Methods
Rats were injected i.p. with saline, risperidone, ketanserin, ritanserin, haloperidol, or SCH 23 390 before and after injection of cocaine (30 mg/kg) or with WAY-00 635, SB 206 553, or sulpiride before cocaine injection; thereafter, the rectal temperature was measured every 30 minutes for up to 4 hours. In vivo microdialysis was used to reveal the effect of risperidone on cocaine-induced elevation of dopamine (DA), serotonin (5-HT), and noradrenaline concentrations in the anterior hypothalamus. For post-administration experiments, saline or risperidone (0.5 mg/kg) were injected into rats, and cocaine (30 mg/kg) was injected 15 minutes later. For every 30 minutes thereafter, DA, 5-HT, and noradrenaline levels were measured for up to 240 minutes after cocaine administration.

Results
Risperidone, 5-HT2A receptor antagonists, and D1 receptor antagonistic drugs prevented and reversed cocaine-induced hyperthermia. In contrast, receptor antagonists for 5-HT1A, 5-HT2B/2C, and D2 did not alter cocaine-induced hyperthermia. Risperidone treatment further attenuated cocaine-induced elevation of DA.

Conclusions
Our results indicate that risperidone attenuates cocaine-induced hyperthermia primarily by blocking the activities of the 5-HT2A and D1 receptors and may be potentially useful for treating cocaine-induced acute hyperthermia in humans.
Case study: international healthcare service quality, building a model for cultivating cultural sensitivity
Authors: Yang Ya-Ting , Hsu Yi-Hsin Elsa , Tang Kung-Pei , Wang Christine , Timmon Stephen , Chiu Wen-Ta , Annavajjula Saileela , Chu Jan-Show 
Published: August 2020

Abstract

Quality problem or issue
In the context of medical tourism, cultural differences and language barriers are unneglectable factors, which compromise the shared decision-making between doctor and patients.

Initial assessment
This study constructs a cultural sensitivity cultivation (CSC) model that could be used to train medical professionals in the sector of medical tourism.

Choice of solution
Since 2016, there have been explorations in new strategies to offer better services. A critical step added is to include clients’ perspectives in the re-examining process as a way to cultivate cultural sensitivity among the service providers. This practice expands to the sector of medical tourism. In our case study, we are able to conclude a new model that could yield quality international healthcare services.

Implementation
The steps of our CSC model include (i) ‘Promote Awareness’ for shifting mindset, (ii) ‘Share Scenarios’ for developing empathy and compassion, (iii) ‘Review Process’ for collecting detail feedback, (iv) ‘Identify Gaps’ for targeting areas for improvement and (v) ‘Improve Systems,’ for changing standard operation procedures (SOPs) based on the strategies through Assmann’s theory with a cultural–anthropological approach.

Evaluation
After Kuang Tien General Hospital (KTGH) implemented the new model for 1 year, the number of international patients has increased by 64%. More research could be done in the future to cover all the important aspects of providing international medical services and could apply the CSC model to different healthcare settings.

Lessons learned
To optimize the shared decision-making between the doctor and medical traveler patients, healthcare providers should not only overcome language and cultural barriers but also should avoid unnecessary gestures in terms of status respect. Inviting patients to be co-investigator for quality improvement is a viable solution.
Anticancer drug synergy prediction in understudied tissues using transfer learning
Authors: Kim Yejin , Zheng Shuyu , Tang Jing , Jim Zheng Wenjin , Li Zhao , Jiang Xiaoqian 
Published: August 2020

AbstractObjectiveDrug combination screening has advantages in identifying cancer treatment options with higher efficacy without degradation in terms of safety. A key challenge is that the accumulated number of observations in in-vitro drug responses varies greatly among different cancer types, where some tissues are more understudied than the others. Thus, we aim to develop a drug synergy prediction model for understudied tissues as a way of overcoming data scarcity problems.Materials and MethodsWe collected a comprehensive set of genetic, molecular, phenotypic features for cancer cell lines. We developed a drug synergy prediction model based on multitask deep neural networks to integrate multimodal input and multiple output. We also utilized transfer learning from data-rich tissues to data-poor tissues.ResultsWe showed improved accuracy in predicting synergy in both data-rich tissues and understudied tissues. In data-rich tissue, the prediction model accuracy was 0.9577 AUROC for binarized classification task and 174.3 mean squared error for regression task. We observed that an adequate transfer learning strategy significantly increases accuracy in the understudied tissues.ConclusionsOur synergy prediction model can be used to rank synergistic drug combinations in understudied tissues and thus help to prioritize future in-vitro experiments. Code is available at https://github.com/yejinjkim/synergy-transfer.
Single Laboratory Validation of UHPLC-MS/MS Assays for Six Milk Thistle Flavonolignans in Human Serum
Authors: Muchiri Ruth N , van Breemen Richard B 
Published: August 2020

Abstract

Background
Extracts of milk thistle, Silybum marianum (L.) Gaertn., are used as dietary supplements for their hepatoprotective, anti-inflammatory, and anti-tumor activities.

Objective
An assay based on UHPLC-MS/MS was developed and validated for the quantitative analysis of six major milk thistle flavonolignans extracted from human serum.

Methods
Ethyl acetate containing 0.1% formic acid was used to extract flavonolignans from human serum. A 10-min UHPLC-MS/MS method using selected reaction ion monitoring was developed for measuring extracts for silybin A, silybin B, isosilybin A, isosilybin B, silychristin, and silydianin.

Results
The quantitative method was validated with respect to selectivity, specificity, accuracy, linearity, precision, LOD, and LLOQ. Extraction efficiency for the quality control standards at LLOQ, low, medium, and high concentrations ranged between 81% and 109%, and the calibration curves were linear (R2 &gt; 0.997) for all flavonolignans. The method precision was determined using coefficients of variation, which were &lt;15%. The method accuracy was assessed using percent relative error which was &lt;15%.

Conclusions
The UHPLC-MS/MS assay is fast, precise, sensitive, selective, accurate, and useful for the analysis of milk thistle flavonolignans in human serum.

Highlights
The UHPLC-MS/MS assay is suitable for rapid quantitative analysis of milk thistle flavonolignans in human serum.
Breast Imaging Fellowship Match: Applicants’ Perspectives of Years Two and Three
Authors: Lee Michelle V , Katzen Janine T , Al-Khalili Rend , Choudhery Sadia , Whitman Gary , Brem Rachel 
Published: August 2020

Abstract

Objective
The purpose of this study is to summarize the results of a survey distributed by the Society of Breast Imaging (SBI) to assess applicants’ experience with the 2018 and 2019 Breast Imaging Fellowship Match process.

Methods
In this institutional review board–exempt study, the SBI issued an anonymous survey to all matched applicants in an attempt to gauge their experience with the 2018 and 2019 Match process.

Results
The survey was sent to all 2018 and 2019 matched applicants and 105/236 (45%) responses were received. The majority (75%, 79/105) of respondents reported a positive experience with the Match, with at least a 4/5 rating, and only 3% (5/105) reported a rating below 3/5. There was some improvement in 2019, with 86% (24/28) of respondents reporting at least a 4/5 rating compared to 71% (55/77) in 2018. No respondent reported a score below a 3/5 rating in 2019. The most commonly cited issues with the Match were the timing of the Match process, the need for a universal application, and the burden of travel. Location and program reputation were the two most important factors contributing to the final rank order of programs.

Conclusion
The great majority of applicants felt that the Match created a positive experience. Planned areas of improvement include the implementation of a universal application, the transition to virtual interviews, and a condensed timeline. These measures are likely to increase applicant satisfaction and provide a fair and efficient experience for future breast radiologists.