bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reframing the magnetotelluric phase tensor for monitoring applications: improved accuracy and precision in strike determinations
Authors: Bravo-Osuna Ana Gabriela , Gómez-Treviño Enrique , Cortés-Arroyo Olaf Josafat , Delgadillo-Jáuregui Néstor Fernando , Arellano-Castro Rocío Fabiola 
Published: November 2020

Abstract
The magnetotelluric method is increasingly being used to monitor electrical resistivity changes in the subsurface. One of the preferred parameters derived from the surface impedance is the strike direction, which is very sensitive to changes in the direction of the subsurface electrical current flow. The preferred method for estimating the strike changes is that provided by the phase tensor because it is immune to galvanic distortions. However, it is also a fact that the associated analytic formula is unstable for noisy data, something that limits its applicability for monitoring purposes, because in general this involves comparison of two or more very similar data sets. One of the issues is that the noise complicates the distribution of estimates between the four quadrants. This can be handled by sending all values to the same quadrant by adding or subtracting the appropriate amount. This is justified by showing that the analytic formula is also a least squares solution. This is equivalent to define penalty functions for the matrix of eigenvalues and then select the minima numerically. Contrary to the analytic formula this numerical approach can be generalized to compute strikes using windows of any number of periods, thus providing tradeoffs between variance and resolution. The performance of the proposed approach is illustrated by its application to synthetic data and to real data from a monitoring array in the Cerro Prieto geothermal field, México.
Determining sample size for progression criteria for pragmatic pilot RCTs: The Hypothesis test Strikes Back!
Authors: Lewis Martyn , Bromley Kieran , Sutton Christopher J , McCray Gareth , Myers Helen Lucy , Lancaster Gillian A 
Published: November 2020

Abstract
BackgroundThe current CONSORT guidelines for reporting pilot trials do not recommend hypothesis testing of clinical outcomes on the basis that a pilot trial is under-powered to detect such differences and this is the aim of the main trial. It states that primary evaluation should focus on descriptive analysis of feasibility/process outcomes (e.g. recruitment, adherence, treatment fidelity). Whilst the argument for not testing clinical outcomes is justifiable, the same does not necessarily apply to feasibility/process outcomes, where differences may be large and detectable with small samples. Moreover, there remains much ambiguity around sample size for pilot trials. MethodsMany pilot trials adopt a ‘traffic light’ system for evaluating progression to the main trial determined by a set of criteria set up a priori. We construct a hypothesis-testing approach for binary feasibility outcomes focused around this system that tests against being in the RED zone (unacceptable outcome) based on an expectation of being in the GREEN zone (acceptable outcome) and choose the sample size to give high power to reject being in the RED zone if the GREEN zone holds true. Pilot point estimates falling in the RED zone will be statistically non-significant and in the GREEN zone will be significant; the AMBER zone designates potentially acceptable outcome and statistical tests may be significant or non-significant.ResultsFor example, in relation to treatment fidelity, if we assume the upper boundary of the RED zone is 50% and the lower boundary of the GREEN zone is 75% (designating unacceptable and acceptable treatment fidelity, respectively), the sample size required for analysis given 90% power and one-sided 5% alpha would be around n=35 (intervention group alone). Observed treatment fidelity in the range of 0-17 participants (0-50%) will fall into the RED zone and be statistically non-significant; 18-26 (51-74%) fall into AMBER and may or may not be significant; 27-35 (75-100%) fall into GREEN and will be significant indicating acceptable fidelity.DiscussionIn general, several key process outcomes are assessed for progression to a main trial; a composite approach would require appraising the rules of progression across all these outcomes. This methodology provides a formal framework for hypothesis-testing and sample size indication around process outcome evaluation for pilot RCTs.
Non-local means based Rician noise filtering for diffusion tensor and kurtosis imaging in human brain and spinal cord
Authors: Zhang Zhongping , Vernekar Dhanashree , Qian Wenshu , Kim Mina 
Published: November 2020

Abstract
Background: To investigate the effect of using an Rician nonlocal means (NLM) filter on quantification of diffusion tensor (DT)- and diffusion kurtosis (DK)-derived metrics in various anatomical regions of the human brain and the spinal cord, when combined with a constrained linear least squares (CLLS) approach.Methods: Prospective brain data from 9 healthy subjects and retrospective spinal cord data from 5 healthy subjects from a 3T MRI scanner were included in the study. Prior to tensor estimation, registered diffusion weighted images were denoised by an optimized blockwise NLM filter with CLLS. Mean kurtosis (MK), radial kurtosis (RK), axial kurtosis (AK), mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD) and fractional anisotropy (FA), were determined in anatomical structures of the brain and the spinal cord. DTI and DKI metrics, signal-to-noise ratio (SNR) and Chi-square values were quantified in distinct anatomical regions for all subjects, with and without Rician denoising. Results: The averaged SNR significantly increased with Rician denoising by a factor of 2 while the averaged Chi-square values significantly decreased up to 61 % in the brain and up to 43% in the spinal cord after Rician NLM filtering. In the brain, the mean MK varied from 0.70 (putamen) to 1.27 (internal capsule) while AK and RK varied from 0.58 (corpus callosum) to 0.92 (cingulum) and from 0.70 (putamen) to 1.98 (corpus callosum), respectively. In the spinal cord, FA varied from 0.78 in lateral column to 0.81 in dorsal column while MD varied from 0.91 × 10−3 mm2/s (lateral) to 0.93 × 10−3 mm2/s (dorsal). RD varied from 0.34 × 10−3 mm2/s (dorsal) to 0.38 × 10−3 mm2/s (lateral) and AD varied from 1.96 × 10−3 mm2/s (lateral) to 2.11 × 10−3 mm2/s (dorsal).Conclusions: Our results show Rician denoising NLM filter incorporated with CLLS significantly increases SNR and reduces estimation errors of DT- and KT-derived metrics, providing the reliable metrics estimation with adequate SNR levels.
Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer
Authors: Zeng Jianjun , Ping Wen , Sanaeifar Alireza , Xu Xiao , Luo Wei , Sha Junjing , Huang Zhenxiong , Huang Yifeng , Liu Xuemei , Zhan Baishao , Zhang Hailiang , Li Xiaoli 
Published: November 2020

Abstract
Background: Photosynthetic pigments participating in the absorption, transformation and transfer of light energy play a very important role in plant growth. While, the spatial distribution of foliar pigments is an important indicator of environmental stress, such as pests, diseases and heavy metal stress. Results: In this paper, in situ quantitative visualization of chlorophyll and carotenoid was realized by combining the Raman spectroscopy with calibration model transfer, and a laboratory Raman spectral model was successfully extended to a portable field spectral measurement. Firstly, a nondestructive and fast model for determination of chlorophyll and carotenoid in tea leaf was established based on confocal micro-Raman spectrometer in the laboratory. Then the spectral model was extended to a real-time foliar map scanning spectra of a field portable Raman spectrometer through calibration model transfer, and the spectral variation between the confocal micro-Raman spectrometer in the laboratory and the portable Raman spectrometer were effectively corrected by the direct standardization (DS) algorithm. The portable map scanning Raman spectra of the tea leaves after the model transfer were got into the established quantitative determination model to predict the concentration of photosynthetic pigments at each pixel of the tea leaves. The predicted photosynthetic pigments concentration of each pixel was imaged to illustrate the distribution map of foliar pigments. Statistical analysis showed that the predicted pigment contents were highly correlated with the real contents.Conclusions: It can be concluded that the Raman spectroscopy was applicable for in situ, non-destructive and rapid quantitative detecting and imaging of photosynthetic pigment concentration in tea leaves, and the spectral detection model established based on the laboratory Raman spectrometer can be applied to a portable field spectrometer for quantitatively imaging of the foliar pigments.
Relationship between serum triglyceride to high-density lipoprotein cholesterol ratio and sarcopenia occurrence rate in community-dwelling Chinese adults
Authors: Wang Na , Chen Mengjun , Fang Danhong 
Published: November 2020

Abstract
BackgroundA study conducted on elderly Korean men showed that a high serum triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio was associated with a high risk of developing sarcopenia. We aimed to determine such an association in community-dwelling Chinese adults.MethodsFrom May 2016 to August 2017, we conducted a cross-sectional study on Chinese adults at the First Affiliated Hospital of Wenzhou Medical University. Univariate and multivariate logistic regression analyses were applied to evaluate a possible relationship between TG/HDL-C ratio and sarcopenia occurrence.ResultsWe included 2613 adults in this study, with 13.85% presenting with sarcopenia. The odds ratios (ORs) for TG and HDL-C were 0.67 (95% confidence interval [CI]: 0.51-0.87), and 1.97 (95% CI: 1.49-2.61), respectively. Moreover, TG/HDL-C ratio was independently associated with sarcopenia status (OR: 0.63; 95% CI: 0.49-0.81).ConclusionsWe found that TG and HDL-C were, respectively, negatively and positively associated with sarcopenia occurrence rate in community-dwelling Chinese adults. However, a negative association was found between sarcopenia occurrence rate and TG/HDL-C ratio.
A precise navigation device for fixation of patella fractures with modified K-wire tension band: A comparative retrospective study
Authors: Wang Fuming , Xiong Haolan , Long Xiaotao , Li Yang , Chen Xiaohua , Wang Gang 
Published: November 2020

Abstract
Background Traditionally, the technique of modified tension band wires (MTBW) has been the most commonly used surgical procedure. The purpose of this study is to design a precise navigation device that can obtain a standard position of K-wires for (MTBW), and to compare the precise MTBW (P-MTBW) by a navigation device with the conventional MTBW (C-MTBW) by hands in a retrospective study.Methods The device was designed by solidworks2012 software (USA), which could provide a precise guidance for obtaining a parallel K-wires. Besides, it could set the distance between two k-wires and the level of k-wires below patellar anterior surface. From June 2014 to August 2018, a total of 112 patients were employed in this retrospective study. The patients were divided into P-MTBW group and C-MTBW group according to the surgical technique with or without the precise navigation device. We needed to record and analyze the operation time and the number of fluoroscopy, postoperative internal fixation imaging, knee function and complications.Results There were 54 patients in P-MTBW group and 58 patients in C-MTBW group. There were statistically significant differences(P＜0.001) in the operation time between P-MTBW group (39.5±4.7; range, 32–49 minutes) and C-MTBW group (53.7±6.8; range, 42–71 minutes). The number of intraoperative fluoroscopy was significantly less (P＜0.001) in P-MTBW group(4.2±1.4) versus that of C-MTBW group (8.3±2.7). According to Iowa knee score, there was no significant difference (P=0.268 at one year) in function between the two groups. According to our own evaluation criteria for MTBW, anyone in the P-MTBW group was excellent and 26 patients were excellent, 20 patients were good and 2 patients were fair in the C-MTBW group.Conclusion The navigation device can reduce operation time and intraoperative fluoroscopy frequency. P-MTBW fixation is an accurate and effective surgical procedure for patella fractures.
Systematic Review on Wearable Lower-Limb Exoskeletons for Gait Training in Neuromuscular Impairments
Authors: Rodríguez-Fernández Antonio , Lobo-Prat Joan , Font-Llagunes Josep M. 
Published: November 2020

Abstract
Gait disorders can reduce the quality of life for people with neuromuscular impairments. Therefore, walking recovery is one of the main priorities for counteracting sedentary lifestyle, reducing secondary health conditions and restoring legged mobility. At present, wearable powered lower-limb exoskeletons are emerging as a revolutionary technology for robotic gait rehabilitation. This systematic review provides a comprehensive overview on wearable lower-limb exoskeletons for people with neuromuscular impairments, addressing the following three questions: (1) what is the current technological status of wearable lower-limb exoskeletons for gait rehabilitation?, (2) what is the methodology used in the clinical validations of wearable lower-limb exoskeletons?, and (3) what are the benefits and current evidence on clinical efficacy of wearable lower-limb exoskeletons? We analyzed 87 clinical studies focusing on both device technology (e.g., actuators, sensors, structure) and clinical aspects (e.g., training protocol, outcome measures, patient impairments), and make available the database with all the compiled information. The results of the literature survey reveal that wearable exoskeletons have potential for a number of applications including early rehabilitation, promoting physical exercise, and carrying out daily living activities both at home and the community. Likewise, wearable exoskeletons may improve mobility and independence in non-ambulatory people, and may reduce secondary health conditions related to sedentariness, with all the advantages that this entails. However, the use of this technology is still limited by heavy and bulky devices, which require supervision and the use of walking aids. In addition, evidence supporting their benefits is still limited to short-intervention trials with few participants and diversity among their clinical protocols. Wearable lower-limb exoskeletons for gait rehabilitation are still in their early stages of development and randomized control trials are needed to demonstrate their clinical efficacy.
Improving the Accuracy of Text Classification using Stemming Method, A Case of Non-formal Indonesian Conversation
Authors: Rianto Rianto , Mutiara Achmad Benny , Wibowo Eri Prasetyo , Santosa Paulus Insap 
Published: November 2020

Abstract
Stemming has long been used in data pre-processing in information retrieval, which aims to make affix words into root words. However, there are not many stemming methods for non-formal Indonesian text processing. The existing stemming method has high accuracy for formal Indonesian, but low for non-formal Indonesian. Thus, the stemming method which has high accuracy for non-formal Indonesian classifier model is still an open-ended challenge. This study introduces a new stemming method to solve problems in the non-formal Indonesian text data pre-processing. Furthermore, this study aims to provide comprehensive research on improving the accuracy of text classifier models by strengthening on stemming method. Using the Support Vector Machine algorithm, a text classifier model is developed, and its accuracy is checked. The experimental evaluation was done by testing 550 datasets in Indonesian using two different stemming methods. The results show that using the proposed stemming method, the text classifier model has higher accuracy than the existing methods with a score of 0.85 and 0.73, respectively. In the future, the proposed stemming method can be used to develop the Indonesian text classifier model which can be used for various purposes including text clustering, summarization, detecting hate speech, and other text processing applications.
Burnout And Depression Among Psychiatry Residents During Covid-19 Pandemic
Authors: Alkhamees Abdulmajeed A. , Assiri Hatem , Alharbi Hatim Yousef , Nasser Abdullah , Alkhamees Mohammad A. 
Published: November 2020

Abstract
Very few studies have been concerned with assessing the prevalence of burnout and depressive symptoms, especially during an infectious outbreak on non-frontline health care workers, such as a psychiatrist. In such instances, the role of psychiatrists and other mental health providers as a source of psychological support to the public and frontline workers is indispensable and valuable. This study aims to assess the prevalence of burnout and depressive symptoms, and their correlation, during the COVID-19 pandemic among psychiatry residents in Saudi Arabia. A total of 121 out of 150 psychiatry residents in Saudi Arabia completed the Maslach Burnout Inventory and Patient’s Health Questionnaire for the assessment of burnout and depressive symptoms. Around 27.3% reported having burnout and depressive symptoms, with a significant relationship between them. Participants in the first two years of training and having a history of receiving mental health treatment in the past two years were at higher risk. The need is urgent to increase investment in mental health services or risk a massive increase in mental health conditions in the coming months. Hence, the need to construct a plan to reduce this risk of burnout and depression among psychiatrists by developing preventative strategies to prevent burnout and promote wellness is more important than ever.
Efficacy of Silver Needle Therapy for The Treatment of Chronic Nonspecific Low Back Pain: A Prospective, Single-Center, Randomized, Parallel-Controlled Clinical Trial
Authors: Hu Xuesong , Dong Shaoxing , Zhang Bing , Wang Xuan , Yin Yanwei , Liu Chuansheng , Yu Junmin , Wu Xing , Xu Fenghe , Meng Chao 
Published: November 2020

Abstract
Background: Chronic nonspecific low back pain (CNSLBP) troubles approximately 30% of people worldwide. Silver needle therapy (SNT) is a treatment method to relieve soft tissue pain through heating. Therefore, this study aimed to observe the effects of SNT on CNSLBP.Methods: In this study, 100 patients were randomly divided into 2 groups: silver needle (SN) group and control group (n = 50). In the SN group, patients received SNT and physiotherapy, while patients received physiotherapy alone in the control group. At the 6-month follow-up, the numerical rating scale (NRS), Oswestry Disability Index (ODI), Short-Form 12 of quality of life (SF-12), the natural logarithms of low frequency measurement (InLF) and the natural logarithms of high frequency measurement (InHF) of heart rate variability (HRV) were recorded.Results: In both groups, NRS, ODI, SF-12 scores, and HRV at 2 weeks after treatment were improved and maintained for 6 months. Compared with the control group, more significant improvements were observed in the NRS and SF-12 scores at 1, 2, 3, and 6 months and in the ODI scores at 1 and 2 months in the SN group (P < 0.05). However, there was no significant difference between the groups in the ODI scores at 3 and 6 months. InLF and InHF in the SN group were higher than those in the control group at 3 and 6 months (P < 0.05).Conclusions: SNT relieved pain and improved quality of life and autonomic nerve activity, especially parasympathetic nerve, in patients with CNSLBP, without serious complications.Trial registration: This work has registered in the Chinese Clinical Trial Registry (No. ChiCTR-OOC-17013237; Date: 2017.11.09).
Molecular characterization of G6PD mutations reveals the high frequency of G6PD Aures in the Lao Theung population&nbsp;
Authors: Sanephonasa Amkha , Cheepsunthorn Chalisa Louicharoen , Khaminsou Naly , Savongsy Onekham , Nuchprayoon Issarang , Leecharoenkiat Kamonlak 
Published: November 2020

Abstract
Background: The prevalence and genotypes of G6PD deficiency vary worldwide, with higher prevalence in malaria endemic areas. The first time assessment of G6PD deficiency prevalence and molecular characterization of G6PD mutations in the Lao Theung population were performed in this study. Methods: A total of 252 unrelated Lao Theung participants residing in the Lao People's Democratic Republic (PDR) were recruited. All participant samples were tested for G6PD enzyme activity and G6PD gene mutations. The amplification refractory mutation system (ARMS)-PCR for detecting G6PD Aures was developed.Results: The G6PD mutations were detected in 11.51% (29/252) of the participants. Eight G6PD mutations were detected. The G6PD Aures was the most common mutation identified in this cohort, which represented 58.62 % (17/29) of all mutation. The mutation pattern was homogenous, predominantly involving the G6PD Aures mutation (6.75%), followed by 1.19% G6PD Union and 0.79% each G6PD Jammu, G6PD Mahidol and G6PD Kaiping. One subject (0.4%) each carried G6PD Viangchan and G6PD Canton. Interestingly, one case of coinheritance of G6PD Aures and Quing Yan was detected in this cohort. Based on levels of G6PD enzyme activity, the prevalence of G6PD deficiency in the Lao Theung population was 9.13 % (23/252). The prevalence of G6PD deficient males and females (activity < 30 %) in the Lao Theung population was 6.41 % (5/78) and 1.72 % (3/174), respectively, and the prevalence of G6PD intermediate (activity 30-70 %) was 5.95 % (15/252).Conclusion: The G6PD Aures mutation is highly prevalent in the Lao Theung ethnic group. The common G6PD variants in continental Southeast Asian populations, G6PD Viangchan, Canton, Kaiping, Union and Mahidol, were not prevalent in this ethnic group. The technical simplicity of the developed ARMS-PCR will facilitate the final diagnosis of the G6PD Aures.