bluuebunny/crossref_metadata_2025_split huggingface dataset:
The genetic determinants of language network dysconnectivity in drug-naïve early stage schizophrenia
Authors: Du Jingnan , Palaniyappan Lena , Liu Zhaowen , Cheng Wei , Gong Weikang , Zhu Mengmeng , Wang Jijun , Zhang Jie , Feng Jianfeng 
Published: March 2021

AbstractSchizophrenia is a neurocognitive illness of synaptic and brain network-level dysconnectivity that often reaches a persistent chronic stage in many patients. Subtle language deficits are a core feature even in the early stages of schizophrenia. However, the primacy of language network dysconnectivity and language-related genetic variants in the observed phenotype in early stages of illness remains unclear. This study used two independent schizophrenia dataset consisting of 138 and 53 drug-naïve first-episode schizophrenia (FES) patients, and 112 and 56 healthy controls, respectively. A brain-wide voxel-level functional connectivity analysis was conducted to investigate functional dysconnectivity and its relationship with illness duration. We also explored the association between critical language-related genetic (such as FOXP2) mutations and the altered functional connectivity in patients. We found elevated functional connectivity involving Broca’s area, thalamus and temporal cortex that were replicated in two FES datasets. In particular, Broca’s area - anterior cingulate cortex dysconnectivity was more pronounced for patients with shorter illness duration, while thalamic dysconnectivity was predominant in those with longer illness duration. Polygenic risk scores obtained from FOXP2-related genes were strongly associated with functional dysconnectivity identified in patients with shorter illness duration. Our results highlight the criticality of language network dysconnectivity, involving the Broca’s area in early stages of schizophrenia, and the role of language-related genes in this aberration, providing both imaging and genetic evidence for the association between schizophrenia and the determinants of language.
Functional connectivity abnormalities of the long-axis hippocampal subregions in schizophrenia during episodic memory
Authors: Dugré Jules R. , Dumais Alexandre , Tikasz Andras , Mendrek Adriana , Potvin Stéphane 
Published: March 2021

AbstractPast evidence suggests that hippocampal subregions, namely the anterior and posterior parts, may be engaged in distinct networks underlying the memory functions which may be altered in patients with schizophrenia. However, of the very few studies that have investigated the hippocampal longitudinal axis subdivisions functional connectivity in patients with schizophrenia, the majority was based on resting-state data, and yet, none aimed to examine these during an episodic memory task. A total of 41 patients with schizophrenia and 45 healthy controls were recruited for a magnetic resonance imaging protocol in which they performed an explicit memory task. Seed-based functional connectivity analysis was employed to assess connectivity abnormalities between hippocampal subregions and voxel-wise connectivity targets in patients with schizophrenia. We observed a significantly reduced connectivity between the posterior hippocampus and regions from the default mode network, but increased connectivity with the primary visual cortex, in patients with schizophrenia compared to healthy subjects. Increased connectivity between the anterior hippocampus and anterior temporal regions also characterized patients with schizophrenia. In the current study, we provided evidence and support for studying hippocampal subdivisions along the longitudinal axis in schizophrenia. Our results suggest that the abnormalities in hippocampal subregions functional connectivity reflect deficits in episodic memory that may be implicated in the pathophysiology of schizophrenia.
Gut microbiota resilience in horse athletes following holidays out to pasture
Authors: Mach Núria , Lansade Léa , Bars-Cortina David , Dhorne-Pollet Sophie , Foury Aline , Moisan Marie-Pierre , Ruet Alice 
Published: March 2021

AbstractElite horse athletes that live in individual boxes and train and compete for hours experience long-term physical and mental stress that compromises animal welfare and alters the gut microbiota. We therefore assessed if a temporary period out to pasture with conspecifics could improve animal welfare and in turn, favorably affect intestinal microbiota composition. A total of 27 athletes were monitored before and after a period of 1.5 months out to pasture, and their fecal microbiota and behavior profiles were compared to those of 18 horses kept in individual boxes. The overall diversity and microbiota composition of pasture and control individuals were temporally similar, suggesting resilience to environmental challenges. However, pasture exposure induced an increase in Ruminococcus and Coprococcus that lasted 1-month after the return to individual boxes, which may have promoted beneficial effects on health and welfare. Associations between the gut microbiota composition and behavior indicating poor welfare were established. Furthermore, withdrawn behavior was associated with the relative abundances of Lachnospiraceae AC2044 group and Clostridiales family XIII. Both accommodate a large part of butyrate-producing bacterial genera. While we cannot infer causality within this study, arguably, these findings suggest that management practices maintained over a longer period of time may moderate the behavior link to the gut ecosystem beyond its resilience potential.
Method for detecting the pollution degree of naturally contaminated insulator based on hyperspectral characteristics
Authors: Yin Chengfeng , Xiao Zhang , Guo Yujun , Shi Chaoqun , Zhang Xueqin , Wu Guangning 
Published: March 2021

AbstractInsulator pollution degree detection is of great significance for preventing a flashover. Equivalent salt deposit density, leakage current, and surface pollution layer conductivity are commonly used to describe insulator pollution degree; however, all these parameters have limitations in field application and real‐time monitoring. Non‐contact detection methods, such as infrared thermal imaging and ultraviolet imaging, only image insulators in a specific band, which makes the extracted features limited. Hyperspectral technology is the new comprehensive image data technology based on imaging spectroscopy that has the advantages of multiband high resolution. Therefore, a method based on hyperspectral image and spectral characteristics is proposed to fully characterize natural pollution information and accurately detect the pollution degree of insulators. The hyperspectral spectral line characteristics, image texture, and colour characteristic data of insulators were extracted and fused and then used to establish the pollution degree detection model on the basis of integrated learning classification algorithms. The results show that the model based on fusion data has an accuracy rate of 95.0%, which is more accurate than the model based on spectral line features only. Consequently, hyperspectral technology can realize the non‐contact detection of pollution degree and provide some guidance for cleaning the contamination of external insulation.
Review of flash sintering with strong electric field
Authors: Zhou Hongyang , Li Xiang , Zhu Yuchen , Liu Jieming , Wu Angxuan , Ma Guoming , Wang Xilin , Jia Zhidong , Wang Liming 
Published: March 2021

AbstractFlash sintering is a novel field‐assisted sintering technology for ceramics that allows a dramatic reduction in processing time and temperature. Since 2010, when flash sintering was first reported, it has been a focus of research interest in the field of materials science. Recent study results have confirmed that the sintering temperature decreases with the strength of the applied electric field; for some ceramics, the sintering temperature can be lowered even to room temperature. This represents an innovative breakthrough for ceramic sintering at ultra‐low temperatures. However, once the electric field strength in flash sintering is increased, new questions and challenges arise, such as whether or not partial discharge occurs in the green body if under electro‐thermal coupling stress, how to quantitatively analyse the impact of discharge on sintering, and, moreover, whether the sintering mechanism under a strong electric field is consistent with that under a weak electric field. These research questions require knowledge of partial discharge detection, dielectric theory, and other topics that are beyond the scope of materials science. To address this need, this review summarises the work carried out in flash sintering with a strong electric field from the perspective of high voltage and insulation technology. First, the flash sintering process and mechanism are briefly introduced. Then, the published literature on flash sintering with a strong electric field for various ceramic materials is summarised in depth. In addition, experimental phenomena that are observed in flash sintering with a strong electric field, such as flash and blackening, are discussed. Finally, some suggestions for future work are presented. It is anticipated that the knowledge gap between different areas of study can be filled by this review.
Classification of partial discharge severities of ceramic insulators based on texture analysis of UV pulses
Authors: Ma Danrui , Jin Lijun , He Jianming , Gao Kai 
Published: March 2021

AbstractInspection of partial discharge before contamination flashover is of great importance for preventing exterior insulation accidents. In this study, a new method for identification of discharge severities is proposed. Specifically, a low‐cost ultraviolet (UV) sensor detection system was combined with time–frequency method, texture analysis and support vector machine (SVM) classifier to classify partial discharge severities for ceramic insulators. The visible images and the root‐mean‐square value of leakage currents detected simultaneously are used to classify the UV signals into different discharge faults. The frequency and amplitude integration of UV pulses are minimum in corona discharge and larger in arc discharge. The images of UV signal spectrograms differ significantly at different discharge stages. The density and brightness of image textures are minimal in corona discharge and larger in arc discharge. Valid and reliable features selected by two texture feature extraction methods with SVM classifier have a reliable classification accuracy of 90.6% for ceramic insulators, and outperform a single time feature or other texture features. SVM outperforms k‐Nearest Neighbour, Naive Bayes and Decision Tree. Our new method with computational effectiveness and high practicality can solve the problem of high randomness and low accuracy of UV sensor detection. It can be further applied to the deterioration diagnosis of power facilities.
Imaging of Gastric Carcinoma. Part Two: Lymph node mapping in Gastric Carcinoma
Authors: Maru Pulkit , Roy Bipradas , Sen Saugata , Chatterjee Argha 
Published: March 2021

AbstractAccurate preoperative nodal staging is critical in determining the appropriate therapy and prognosis for stomach cancer. A staging computed tomography should inform the treating surgeon about the nodal burden to decide the appropriate surgical plan or perioperative chemotherapy. Nodal staging is also a powerful predictor of the outcome of surgery and overall survival. Imaging of nodes is also important in the assessment of response following the chemotherapy. In this article, we will discuss lymphatic drainage of stomach and different nodal stations, identification of nodal stations on cross sectional imaging, and different types of surgical nodal clearance for gastric cancer.
A Rare Case of Thrombus Aspiration Device Stuck in the Stent
Authors: Gupta Himanshu , Rajan Palanivel , Singh Harkant , Agstam Sourabh , Revaiah Pruthvi C. 
Published: March 2021

AbstractHardware loss and entrapment during percutaneous coronary intervention is one of the important complications, which an interventionist should anticipate in his practice. Basic knowledge about various extraction methods is essential to bail out in such situations. We describe a 74-year-old male, in whom a used thrombuster device got stuck in struts of an already deployed stent in the right coronary artery. The device could not be retrieved via various percutaneous maneuvers, necessitating an emergency surgical device retrieval and concomitant coronary bypass.
Unplanned Postoperative Reintubation in Children with Bronchial Asthma
Authors: Winch Peter D. , Mpody Christian , Murray-Torres Teresa M. , Rudolph Shannon , Tobias Joseph D. , Nafiu Olubukola O. 
Published: March 2021

AbstractUnplanned postoperative reintubation is a serious complication that may increase postsurgical hospital length of stay and mortality. Although asthma is a risk factor for perioperative adverse respiratory events, its association with unplanned postoperative reintubation in children has not been comprehensively examined. Our aim was to determine the association between a preoperative comorbid asthma diagnosis and the incidence of unplanned postoperative reintubation in children. This was a retrospective cohort study comprising of 194,470 children who underwent inpatient surgery at institutions participating in the National Surgical Quality Improvement Program–Pediatric. The primary outcome was the association of preoperative asthma diagnosis with early, unplanned postoperative reintubation (within the first 72 hours following surgery). We also evaluated the association between bronchial asthma and prolonged hospital length of stay (longer than the 75th percentile for the cohort). The incidence of unplanned postoperative reintubation in the study cohort was 0.5% in patients with a history of asthma compared with 0.2% in patients without the diagnosis (odds ratio [OR]: 2.23, 95% confidence interval [CI]: 1.71–2.89). This association remained significant after controlling for several clinical characteristics (OR: 1.54, 95% CI: 1.17–2.20). Additionally, asthmatic children were more likely to require a hospital length of stay longer than the 75th percentile for the study cohort (adjusted OR: 1.05, 95% CI: 1.01–1.10). Children with preoperative comorbid asthma diagnosis have an increased incidence of early, unplanned postoperative reintubation and prolonged postoperative hospitalization following inpatient surgery. By identifying these patients as having higher perioperative risks, it may be possible to institute strategies to improve their outcomes.
Role of Imaging in Bariatric Surgery: A Review of the Various Surgical Techniques and Their Complications
Authors: Girishekar Bhavana , Rawat Sudarshan , Ananthasivan Rupa , Reddy Pramesh , Patil Pooja , Kaushik Kavya 
Published: March 2021

AbstractAccording to the World Health Organization, obesity has reached epidemic proportions globally, with at least 2.8 million people dying each year as a result of being overweight or obese. Bariatric surgery is being increasingly used as a form of treatment, particularly in those patients where lifestyle modifications are deemed insufficient. With the role of radiologists transitioning from a medical to a surgical evaluation in obesity, it is becoming increasingly important to familiarize oneself with the various imaging techniques used in the preoperative and postsurgical evaluation in such cases. This article aims to review the various surgeries performed, their normal imaging appearance, and the various complications that could be encountered.
Pd/SAPO-34 passive NO
x
adsorbers: Stable Pd ion adsorption sites in six-member rings
Authors: Zhang Nana , Xin Yin , Li Ruirui , Han Dongxu , Jia Junxiu , Li Qian , Wang Jin , Zhang Zhaoliang 
Published: March 2021

Abstract
Pd/zeolites with chabazite (CHA) topology are effective passive NO
x
adsorbers (PNAs), which are promising for the removal of NO
x
from diesel exhausts during cold start to meet increasingly stringent emission regulations. In this work, Pd/SAPO-34 zeolites with different preparation methods and Pd contents were developed and exhibited high NO adsorption performance. Three Pd species in Pd/SAPO-34, including well-dispersed PdO
x
clusters, Pd ions in the eight- and six-member rings (8MRs and 6MRs) of zeolites, are NO adsorption sites in the absence of H2O in the feed, demonstrated by a good linear relationship between the total Pd contents and NO
x
desorption amounts. However, in the presence of H2O, only Pd ions in 6MRs are stable NO adsorption sites and provide the continuous NO adsorption, due to the limited mobility of the Pd ions in 6 MRs with small pore size. This new finding points out a definite direction for the rational design of high-performance PNAs to eliminate NO
x
during the cold start of diesel vehicles.
Simulating the redox potentials of unexplored phenazine derivatives as electron mediators for biofuel cells
Authors: Nakagawa Ryo , Nishina Yuta 
Published: March 2021

Abstract
In this research, we aimed to establish a guideline for designing electron mediators suitable for biofuel cells. A redox potential simulator was fabricated by combining density functional theory calculation and experiment, allowing us to select molecules with appropriate redox potentials efficiently. Previously, mediators have been developed depending on the trials and errors; thus, our strategy will speed up the development of biofuel cells with outstanding performances.
Toward self-powered real-time health monitoring of body fluid components based on improved enzymatic biofuel cells
Authors: Shitanda Isao , Tsujimura Seiya 
Published: March 2021

Abstract
This topical review focuses on self-powered electrochemical sensor devices that use wearable biofuel cells (BFCs) that generate electricity from body fluid components, such as glucose in urine and lactate in sweat. The advantages of using BFCs as power sources for wearable health monitoring devices are discussed herein. Recently developed porous carbon materials with controlled interfaces and spaces are also explored for enhancing the output power and stability of BFCs. We describe a printed wearable high-power BFC that uses body fluids as a fuel. This topical review also explains several challenges existing in the development of self-driving health monitoring devices, such as their power output and stability.
The Clinical Characteristics and Treatment Outcomes of Concomitant Eosinophilic Esophagitis and Inflammatory Bowel Disease
Authors: Urquhart Siri A , Quinn Kevin P , Ravi Karthik , Loftus Edward V 
Published: March 2021

Abstract

Background
The clinical characteristics and treatment outcomes in patients with eosinophilic esophagitis (EoE) and inflammatory bowel disease (IBD) have not been extensively investigated.

Methods
We determined treatment outcomes and frequencies of disease-related complications in patients with EoE and IBD.

Results
Among 69 patients who met inclusion criteria, 39 (56.5%) had a diagnosis of Crohn disease. Clinical and histologic response rates to proton pump inhibitors and topical steroids were 25.9% and 24.4%, respectively.

Conclusions
Lower than expected clinical and histologic response rates for EoE suggest the combination of EoE and IBD is a medically refractory phenotype with more difficult to treat EoE.
Replication studies in the clinical decision support literature–frequency, fidelity, and impact
Authors: Coiera Enrico , Tong Huong Ly 
Published: March 2021

Abstract

Objective
To assess the frequency, fidelity, and impact of replication studies in the clinical decision support system (CDSS) literature.

Materials and Methods
A PRISMA-compliant review identified CDSS replications across 28 health and biomedical informatics journals. Included articles were assessed for fidelity to the original study using 5 categories: Identical, Substitutable, In-class, Augmented, and Out-of-class; and 7 IMPISCO domains: Investigators (I), Method (M), Population (P), Intervention (I), Setting (S), Comparator (C), and Outcome (O). A fidelity score and heat map were generated using the ratings.

Results
From 4063 publications matching search criteria for CDSS research, only 12/4063 (0.3%) were ultimately identified as replications. Six articles replicated but could not reproduce the results of the Han et al (2005) CPOE study showing mortality increase and, over time, changed from truth testing to generalizing this result. Other replications successfully tested variants of CDSS technology (2/12) or validated measurement instruments (4/12).

Discussion
A replication rate of 3 in a thousand studies is low even by the low rates in other disciplines. Several new reporting methods were developed for this study, including the IMPISCO framework, fidelity scores, and fidelity heat maps. A reporting structure for clearly identifying replication research is also proposed.

Conclusion
There is an urgent need to better characterize which core CDSS principles require replication, identify past replication data, and conduct missing replication studies. Attention to replication should improve the efficiency and effectiveness of CDSS research and avoiding potentially harmful trial and error technology deployment.
Professionals Inflation Forecasts: The Two Dimensions Of Forecaster Inattentiveness
Authors: Easaw Joshy , Golinelli Roberto 
Published: March 2021

AbstractThis article explores professionals’ inflation forecasts, specifically the structure of their forecast error. Recent papers considering professionals’ inflation forecast have focused on the role of forecaster inattentiveness. We consider a new additional dimension of inattentiveness which is observed when forecasters form multi-period forecasts, and implicitly their perceived momentum of inflation. The present analysis introduces a novel model that is investigated empirically using survey-based data for the US. It establishes a new structure for the professionals’ forecast error accounting for both dimensions of inattentiveness, which relates respectively to forecast updating and multi-period forecasting in each period.
Optical spectroscopic monitoring of the symbiotic star MWC 560 before and after the 2018 unpredicted brightening
Authors: Ando Kazuko , Fukuda Naoya , Akazawa Hidehiko , Sato Bunei , Hasegawa Ryo , Koizumi Yohei , Omiya Masashi , Harakawa Hiroki , Kambe Eiji , Maehara Hiroyuki , Izumiura Hideyuki 
Published: March 2021

Abstract
MWC 560 (V694 Mon) is classified as a symbiotic binary consisting of a white dwarf and an M5III red giant. In this object, a very- high-speed component, thought to be a jet, has been reported in the hydrogen Balmer line. We have been conducting long-term spectroscopic monitoring since the brightening in 2016 February. An irregular rebrightening was reported by Goranskij et al. (2018, Astronomer’s Telegram, 12227), who also showed that the high-velocity absorption component was not seen on 2018 November 16. Our low-resolution spectroscopic observations showed no high-velocity absorption component on 2018 November 14, and wide emission lines in Balmer line region (Hα, Hβ). However, high-resolution spectroscopy revealed the presence of slow, weak absorbing components and an emission wing on 2018 December 25. MWC 560 began to brighten in 2018 November, and it is gradually brightening as of 2020 April 14. For the absorption component, we propose a shell expansion of a classical symbiotic nova that occurred in 2016. During the 2018 brightening a new emission wing with vFWHM ≈ 700 km s−1 was confirmed, which could be triggered by disk instability like a dwarf nova. This paper summarizes the results of long-term monitoring observations and the recent changes in MWC 560.