bluuebunny/crossref_metadata_2025_split huggingface dataset:
Denoising Fault-Aware Wavelet Network: A Signal Processing Informed Neural Network for Fault Diagnosis
Authors: Shang Zuogang , Zhao Zhibin , Yan Ruqiang 
Published: January 2023

AbstractDeep learning (DL) is progressively popular as a viable alternative to traditional signal processing (SP) based methods for fault diagnosis. However, the lack of explainability makes DL-based fault diagnosis methods difficult to be trusted and understood by industrial users. In addition, the extraction of weak fault features from signals with heavy noise is imperative in industrial applications. To address these limitations, inspired by the Filterbank-Feature-Decision methodology, we propose a new Signal Processing Informed Neural Network (SPINN) framework by embedding SP knowledge into the DL model. As one of the practical implementations for SPINN, a denoising fault-aware wavelet network (DFAWNet) is developed, which consists of fused wavelet convolution (FWConv), dynamic hard thresholding (DHT), index-based soft filtering (ISF), and a classifier. Taking advantage of wavelet transform, FWConv extracts multiscale features while learning wavelet scales and selecting important wavelet bases automatically; DHT dynamically eliminates noise-related components via point-wise hard thresholding; inspired by index-based filtering, ISF optimizes and selects optimal filters for diagnostic feature extraction. It's worth noting that SPINN may be readily applied to different deep learning networks by simply adding filterbank and feature modules in front. Experiments results demonstrate a significant diagnostic performance improvement over other explainable or denoising deep learning networks. The corresponding code is available at https://github.com/albertszg/DFAWnet.
Predictors of adverse diastolic remodeling in non-diabetic patients presenting with ST-elevation myocardial infarction
Authors: Al Ali Lawien , Groot Hilde E. , Assa Solmaz , Lipsic Erik , Hummel Yoran M. , van Veldhuisen Dirk J. , Voors Adriaan A. , van der Horst Iwan C. C. , Lam Carolyn S. , van der Harst Pim 
Published: January 2023

Abstract
Background
Adverse systolic remodeling after ST-elevation myocardial infarction (STEMI) is associated with poor clinical outcomes. However, little is known about diastolic remodeling. The purpose of this study was to identify the factors leading to diastolic remodeling.

Methods
Echocardiography was performed during hospitalization and at 4 months follow-up in 267 non-diabetic STEMI patients from the GIPS-III trial. As parameters of diastolic remodeling we used (1.) the E/e′ at 4 months adjusted for the E/e′ at hospitalization and (2.) the change in E/e′ between hospitalization and 4 months. Multivariable regression models correcting for age and sex were constructed to identify possible association of clinical and angiographic variables as well as biomarkers with diastolic remodeling.

Results
Older age, female gender, hypertension, multi vessel disease, higher glucose and higher peak CK were independent predictors of higher E/e′ at 4 months in a multivariable model (R2:0.20). After adjustment for E/e′ during hospitalization only female gender, multivessel disease and higher glucose remained predictors of E/e′ at four months (R2:0.40). Lower myocardial blush grade, AST and NT-proBNP were independent predictors of a higher increase of E/e′ between hospitalization and at 4 months in a multivariable model (R2:0.08).

Conclusions
Our data supports the hypothesis that female gender, multivessel coronary artery disease, and microvascular damage are important predictors of adverse diastolic remodeling after STEMI. In addition, our data suggests that older age and hypertension prior to STEMI may have contributed to worse pre-existing diastolic function.
Trial registration: NIH, NCT01217307. Prospectively registered on October 8th 2010, https://clinicaltrials.gov/ct2/show/NCT01217307.
Falls and fracture risk screening in primary care: update and validation of a postal screening tool for community dwelling older adults recruited to UK Prevention of Falls Injury Trial (PreFIT)
Authors: Bruce Julie , Hossain Anower , Ji Chen , Lall Ranjit , Arnold Susanne , Padfield Emma , Underwood Martin , Lamb Sarah E. 
Published: January 2023

Abstract
Background
Postal screening has not previously been validated as a method for identifying fall and fracture risk in community-dwelling populations. We examined prognostic performance of a postal risk screener used in the UK Prevention of Falls Injury Trial (PreFIT; ISRCTN71002650), to predict any fall, recurrent falls, and fractures over 12 months. We tested whether adding variables would improve screener performance.

Methods
Nine thousand eight hundred and eight community-dwelling participants, aged 70 years and older, and 63 general practices in the UK National Health Service (NHS) were included in a large, pragmatic cluster randomised trial comparing screen and treat fall prevention interventions. The short postal screener was sent to all participants in the trial intervention arms as an A4 sheet to be completed and returned to the GP (n = 6,580). The postal screener items were embedded in the baseline pre-randomisation postal questionnaire for all arms of the trial (n = 9,808). We assessed discrimination and calibration using area under the curve (AUC). We identified additional predictors using data from the control arm and applied these coefficients to internal validation models in the intervention arm participants. We used logistic regression to identify additional predictor variables.

Findings
A total of 10,743 falls and 307 fractures were reported over 12 months. Over one third of participants 3,349/8,136 (41%) fell at least once over 12 month follow up. Response to the postal screener was high (5,779/6,580; 88%). Prediction models showed similar discriminatory ability in both control and intervention arms, with discrimination values for any fall AUC 0.67 (95% CI 0.65 to 0.68), and recurrent falls (AUC 0.71; 95% CI 0.69, 0.72) but poorer discrimination for fractures (AUC 0.60; 95% CI 0.56, 0.64). Additional predictor variables improved prediction of falls but had modest effect on fracture, where AUC rose to 0.71 (95% CI 0.67 to 0.74). Calibration slopes were very close to 1.

Conclusion
A short fall risk postal screener was acceptable for use in primary care but fall prediction was limited, although consistent with other tools. Fracture and fall prediction were only partially reliant on fall risk although were improved with the additional variables.
The density of bone marrow mononuclear cells and CD34+ cells in patients with three neurologic conditions
Authors: Nguyen Kien Trung , Hoang Nhung Thi My , Nguyen Hoang-Phuong , Nguyen Thanh Liem 
Published: January 2023

Abstract
Background
This study aimed to identify the density of mononuclear cells (MNCs) and CD34+ cells in the bone marrow of patients with three neurologic conditions.

Methods
The study included 88 patients with three neurologic conditions: 40 with cerebral palsy (CP) due to oxygen deprivation (OD), 23 with CP related to neonatal icterus (NI), and 25 with neurological sequelae after traumatic brain injury. Bone marrow aspiration was conducted from the patients’ bilateral anterior iliac crest under general anesthesia in an operating theater. MNCs were isolated by Ficoll gradient centrifugation and then infused intrathecally.

Results
There was a significant difference in the average MNC per ml and percentage of CD34+ cells by the type of disease, age group, and infusion time (p value < 0.05). The multivariable regression model showed the percentage of CD34+ association with the outcome (gross motor function 88 items- GMFM-88) in patients with CP.

Conclusions
The density of MNCs was 5.22 million cells per mL and 5.03% CD34+ cells in patients with three neurologic conditions. The highest density of MNCs in each ml of bone marrow was found in patients with CP due to OD, whereas the percentage of CD34+ cells was the highest among patients with CP related to NI.
Aneurysmal subarachnoid hemorrhage with PFBC and beta thalassemia: a case report
Authors: Yu Kuangyang , Pang Jinwei , Yang Xiaobo , Peng Jianhua , Jiang Yong 
Published: January 2023

Abstract
Background
Primary familial brain calcification (PFBC), habitually called Fahr’s disease, is characterized by bilateral calcification of the basal ganglia, accompanied by extensive calcification of the cerebellar dentate nucleus, brainstem cerebrum, and cerebellum at the grey-white matter junction. However, there are few reports about PFBC with aneurysmal subarachnoid hemorrhage (aSAH) and thalassemia.

Case presentation
We describe a patient admitted to the hospital with an acute deterioration in the level of consciousness with no history of neuropsychiatric features or movement disorders. After computed tomography (CT) and CT angiography (CTA), the patient was diagnosed with PFBC, accompanied by aneurysmal subarachnoid haemorrhage (aSAH), intracranial haemorrhage (ICH), and hemoglobin electrophoresis suggested beta-thalassemia. This patient underwent craniotomy aneurysm clipping and intracranial hematoma removal.

Conclusions
For patients with PFBC, we should pay attention to their blood pressure and intracranial vascular conditions. The CTA is necessary to clarify the cerebrovascular conditions of the patient, especially when combined with hypertension and persistent headache or other related prodromal symptoms of cerebrovascular disease.
Epidemiology of obesity and high blood pressure among school-age children from military families: the largest report from our region
Authors: Dormanesh Banafshe , Arasteh Peyman , Daryanavard Roya , Mardani Maryam , Ahmadi Meysam , Nikoupour Hamed 
Published: January 2023

Abstract
Background
For the first time, we aimed to determine the epidemiology and associated factors of obesity and hypertension among children of military families in our region.

Methods
In this multi-centered study, children between the ages of 5 to 12 years old, entered the study. Data on baseline and clinical characteristics, history of disease and anthropometric measurements, were collected.

Results
Among 504 children, 44.2% were males. Mean (SD) age of participants was 7.9 ± 1.9 years. Overall, 5% were obese and 9.9% were overweight. In total, 16.3% had elevated BP, 12.5% had stage one and 0.2% had stage two hypertension.
Age (beta = 0.306, OR = 1.35, 95% CI:1.14—1.61), obesity/overweight (OR = 5.58, 95% CI:2.59—12.0), history of hypertension in mother (OR = 43.24, 95% CI:5.99—312.11), low birth weight (OR = 7.96, 95% CI:2.59—12.0), physical activity (OR = 0.27, 95% CI:0.10—0.72), and consumption of fast food more than once a week (OR = 3.36, 95% CI:1.82—6.19), were associated with risk of hypertension.
Furthermore, age (beta = 0.346, OR = 1.41, 95% CI:1.21—1.64), history of childhood obesity in the father (OR = 3.78, 95% CI: 1.77—8.06) and mother (OR = 2.44, 95% CI:1.07—5.56), and physical activity (OR = 0.27, 95% CI:0.11—0.66), were associated with obesity.

Conclusion
Age, obesity/overweight, history of hypertension in the mother, birth weight, physical activity, and consumption of fast food, were associated with risk of hypertension. Moreover, age, history of childhood obesity in parents, and physical activity, were associated with obesity.
Furthermore, we found that school-age children in military families have higher rates of hypertension and overweight compared to other reports from our region.
Clinical characteristics of 683 children and adolescents, aged 0–18 years, newly diagnosed with type 1 diabetes mellitus in Henan Province: a single-center study
Authors: Huang Ai , Chen Qiong , Yang Wei , Cui Yan , Wang Qingzhi , Wei Haiyan 
Published: January 2023

Abstract
Background
Type 1 diabetes mellitus (T1DM) is a common chronic systemic disease that threatens the health of children worldwide. Diabetic ketoacidosis (DKA) is the most severe acute complication of diabetes and can lead to death. This study aimed to explore the epidemiological features, clinical manifestations, and risk factors for DKA in children and adolescents newly diagnosed with T1DM in the Department of Endocrinology of the Children’s Hospital of Henan Province.

Methods
Medical records of 683 children and adolescents newly diagnosed with T1DM in our center from March 2014 to November 2021 were retrospectively analyzed. The data included the general condition, laboratory indexes, and clinical symptoms. The patients were divided into three groups according to age: Group I, 0–3 years; Group II, 4–9 years; and Group III, 10–18 years.

Results
The incidence of DKA was 62.96% and was highest in Group I. Group I had the lowest C-peptide and hemoglobin A1c, but the highest blood glucose at first diagnosis, and 25-hydroxyvitamin D3 levels, hospitalization lengths, and medical costs. 25.5% of the children were delayed in diagnosis. Logistic regression analysis showed that elevated HbA1c levels and hyperglycemia were independent risk factors for DKA. On the other hand, C-peptide and 25- hydroxyvitamin D were protective factors for DKA.

Conclusions
The incidence of DKA among children and adolescents in the Henan Province is very high. Moreover, DKA can be easily delayed in diagnosis. Newly diagnosed infants with T1DM are more likely to present with DKA, suffer more severe metabolic disorders, endure longer hospital stays, and accrue higher medical costs.
Exploration of the external and internal factors that affected learning effectiveness for the students: a questionnaire survey
Authors: Chen Ding-Ping , Chang Su-Wei , Burgess Annette , Tang Brian , Tsao Kuo-Chien , Shen Chia-Rui , Chang Pi-Yueh 
Published: January 2023

AbstractLearning effectiveness may be affected by internal and external factors, including personal attitude, motivations, learning skills, learning environment and peer pressure. This study sought to explore potential factors on students who majored in medical technology. The 106 students who completed their internship at Chang Gung Memorial Hospital were enrolled in this study. A written questionnaire was analyzed to explore the relationship between potential factors and learning effectiveness. The strength of relationship between the outcome and each factor was evaluated using Spearman correlation coefficients. A multiple linear regression model was constructed to assess how those factors affected learning effectiveness altogether. The results indicated that the learning effectiveness of the students mainly depended on three factors: the “extracurricular studies” and “willingness to cooperate” were positively associated with learning effectiveness. However, the “weakened motivation due to uncertainty” is negatively associated with learning effectiveness. We suggested that the educators can understand the uncertainty of students about the future. Additionally, the projects that require joint cooperation and discussion need to be given. The most important thing is that students should be able to integrate the learning content instead of rote.
The equine patellar ligaments and the infrapatellar fat pad – a microanatomical study
Authors: Fjordbakk Cathrine Taule , Marques-Smith Patrick 
Published: January 2023

Abstract
Background
Interpretation of patellar ligament (PL) ultrasonography may be difficult, as hypoechoic or heterogenous echogenicity are common findings. Verifying suspected disease of equine PLs by histopathology is also problematic as descriptions of normal PL vascularity and histology are scarce. The current study describes the PL and infrapatellar fat pad (IFP) vascular pattern from computed tomography scans of barium perfused normal equine specimens (n = 8; age 10 days to 18 years), as well as routine histology to serve as a reference for future investigations into PL pathology and IFP disease.

Results
The PLs received a bipolar blood supply. Vascular architecture consisted of numerous distinct longitudinal vessels with several horizontal connections, which branched into extensive latticeworks of smaller vessels throughout the ligaments. Several vascular connections between the PLs and the IFP were identified. One distinct longitudinal vessel was seen entering each of the IFP lobes at the distocranial aspect, branching extensively into lobar vascular networks which anastomosed by several horizontal branches at the mid portion of the IFP where the two lobes merge. Histologically, there were large variations in PL interfascicular endotenon thickness, vascularity and fatty infiltration; these parameters increased with age for the intermediate and medial PL. Areas of metaplastic tenocytes / chondroid metaplasia were identified in all investigated adult medial PLs; in 2/7 in the intermediate PL and in 4/7 in the lateral PL. The adult IFP consisted of white unilocular adipose tissue, organized in lobules separated by thin connective tissue septa increasing in thickness towards the periphery and the distocentral aspect.

Conclusions
The equine PLs and IFP are highly vascularized structures with ample vascular connections suggestive of crosstalk. This, together with the large variation in PL endotenon thickness, vascularity and fatty infiltration, should be taken into consideration when assessing potential PL histopathology as these changes increase with age and are found in horses without clinical signs of stifle disease. Metaplastic tenocytes / chondroid metaplasia should be considered a normal finding throughout the medial PL and is not age dependent. The role of the equine IFP in stifle disease has yet to be elucidated.
Clinical characteristics and outcomes of gastrointestinal stromal tumor patients receiving surgery with or without TKI therapy: a retrospective real-world study
Authors: Wang Lingquan , Ni Zhentian , Xu Wei , Mei Yu , Li Chen , Zhu Zhenggang , Liu Wentao 
Published: January 2023

Abstract
Purpose
To retrospectively analyze the clinical characteristics of patients undergoing surgical treatment for gastrointestinal stromal tumors (GISTs) in Ruijin Hospital and explore the relevant prognosis clinical factors after surgical treatment.

Methods
We screened out 1015 patients with GISTs diagnosed and treated during January 2010 to December 2019. We performed univariate analysis by the log-rank test and multivariate analysis by COX regression. The Kaplan–Meier method was used to estimate the disease-free survival (DFS) and overall survival (OS) of the whole group.

Results
All 1015 patients in the whole group received radical surgery, and the proportion of patients with high, intermediate, and low risk was 31.1%, 21.7%, and 47.3%, respectively. Among the 480 low-risk patients, surgery could achieve radical therapy; only the Ki-67 index was related to DFS and OS (DFS: p = 0.032, OS: p = 0.009) among the 140 intermediate-risk patients with tumors located in the stomach, whether received Tyrosine kinase inhibitors (TKIs) therapy did not affect the prognosis of patients (DFS: p = 0.716, OS: p = 0.848). Among the 331 high-risk patients, those with non-gastric tumors (those outside the stomach, duodenum, and small intestine, HR 1.55, 95% CI 1.19–2.00, p < 0.001), tumor diameter > 10 cm (hazard ratio, HR 2.63, 95% confidence interval, CI 2.09–4.03, p < 0.001), as well as high-risk patients with mitotic rate > 10/50 HPF (HR 2.74, 95% CI 2.00–3.76, p < 0.001), the overall prognosis was obviously worse than that of other patients. For some high-risk patients, prolonged postoperative imatinib therapy could significantly improve the survival of patients (HR 0.43, 95% CI 0.15–0.66, p < 0.001).

Conclusions
For the vast majority of GIST patients, surgery can be curative; but in intermediate-risk patients, the Ki-67 index and postoperative TKI treatment are closely related to prognosis. For intermediate-risk patients whose primary tumor is the stomach, the value of TKI-targeted therapy after surgery seem be not necessary in our study. However, for some high-risk patients, the prognosis of patients can be improved by appropriately prolonging the treatment time of TKI.
Exosomal transmission of viruses, a two-edged biological sword
Authors: Mardi Narges , Haiaty Sanya , Rahbarghazi Reza , Mobarak Halimeh , Milani Morteza , Zarebkohan Amir , Nouri Mohammad 
Published: January 2023

AbstractAs a common belief, most viruses can egress from the host cells as single particles and transmit to uninfected cells. Emerging data have revealeden blocviral transmission as lipid bilayer-cloaked particles via extracellular vesicles especially exosomes (Exo). The supporting membrane can be originated from multivesicular bodies during intra-luminal vesicle formation and autophagic response. Exo are nano-sized particles, ranging from 40–200 nm, with the ability to harbor several types of signaling molecules from donor to acceptor cells in a paracrine manner, resulting in the modulation of specific signaling reactions in target cells. The phenomenon of Exo biogenesis consists of multiple and complex biological steps with the participation of diverse constituents and molecular pathways. Due to similarities between Exo biogenesis and virus replication and the existence of shared pathways, it is thought that viruses can hijack the Exo biogenesis machinery to spread and evade immune cells. To this end, Exo can transmit complete virions (as single units or aggregates), separate viral components, and naked genetic materials. The current review article aims to scrutinize challenges and opportunities related to the exosomal delivery of viruses in terms of viral infections and public health.
An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer
Authors: Pan Jiexin , Hong Guibin , Zeng Hong , Liao Chengxiao , Li Huarun , Yao Yuhui , Gan Qinghua , Wang Yun , Wu Shaoxu , Lin Tianxin 
Published: January 2023

Abstract
Background
Accurate pathological diagnosis of invasion depth and histologic grade is key for clinical management in patients with bladder cancer (BCa), but it is labour-intensive, experience-dependent and subject to interobserver variability. Here, we aimed to develop a pathological artificial intelligence diagnostic model (PAIDM) for BCa diagnosis.

Methods
A total of 854 whole slide images (WSIs) from 692 patients were included and divided into training and validation sets. The PAIDM was developed using the training set based on the deep learning algorithm ScanNet, and the performance was verified at the patch level in validation set 1 and at the WSI level in validation set 2. An independent validation cohort (validation set 3) was employed to compare the PAIDM and pathologists. Model performance was evaluated using the area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value and negative predictive value.

Results
The AUCs of the PAIDM were 0.878 (95% CI 0.875–0.881) at the patch level in validation set 1 and 0.870 (95% CI 0.805–0.923) at the WSI level in validation set 2. In comparing the PAIDM and pathologists, the PAIDM achieved an AUC of 0.847 (95% CI 0.779–0.905), which was non-inferior to the average diagnostic level of pathologists. There was high consistency between the model-predicted and manually annotated areas, improving the PAIDM’s interpretability.

Conclusions
We reported an artificial intelligence-based diagnostic model for BCa that performed well in identifying invasion depth and histologic grade. Importantly, the PAIDM performed admirably in patch-level recognition, with a promising application for transurethral resection specimens.