bluuebunny/crossref_metadata_2025_split huggingface dataset:
Few-Shot Machine Learning at the Grid Edge: Data-Driven Impedance Models for Model-Free Smart Inverters
Authors: Li Yufei , Liao Yicheng , Chen Minjie , Wang Xiongfei , Nordstrom Lars , Mittal Prateek , Poor H. Vincent 
Published: April 2023

Abstract
The future electric grid will be supported by a vast number of smart inverters distributed at the edge of the grid. These inverters' dynamics are commonly characterized as impedances under small-signal perturbations and are critical for ensuring grid stability and resiliency. However, the operating conditions of these inverters can vary widely, resulting in various impedance patterns and complicating grid-inverter interaction behaviors. Current analytical impedance models necessitate a comprehensive and accurate comprehension of system parameters while also relying on multiple assumptions to simplify system complexities. They can hardly capture the complete electrical behaviors of physical systems when inverters are controlled with sophisticated algorithms or performing complex functions. Real-world impedance acquisitions across multiple operating points through simulations or measurements are expensive and impractical. Leveraging the recent advances in artificial intelligence and machine learning, we present InvNet, a few-shot machine learning framework capable of characterizing inverter impedance patterns across a wide operation range, even with limited impedance data for each inverter. The InvNet can extrapolate from physics-based models to real-world models and from one inverter to another. Comprehensive evaluations were conducted to verify the effectiveness of our proposed approach in various application scenarios, and all data and models were open-sourced. Our study demonstrates the effectiveness of machine learning and neural networks as powerful techniques for modeling the intricate black-box characteristics of grid-edge energy systems and analyzing the behaviors of such systems with larger-scales that cannot be accurately described using traditional analytical methods.
A study on the contributions of sonication to the identification of bacteria associated with intubation cannula biofilm and the risk of ventilator- associated pneumonia
Authors: Codru Ioana , Sava Mihai , Vintilă Bogdan Ioan , Bereanu Alina Simona , Bîrluțiu Victoria 
Published: April 2023

Abstract
Ventilator-associated pneumonia is one of the most severe complications of critically ill patients that need mechanical respiratory support, as it poses a significant risk of prolonging hospitalization, disability, and even death. This is why physicians worldwide target newer methods for prevention, early diagnosis, and early target treatment for this condition. There are few methods for a quick etiological diagnosis of pneumonia, especially point of care, and most are only readily available in some intensive care units. This is why a new, simple, and cheap method is needed for determining the bacteria that might be infectious in a particular patient. The method in question is sonication. Method: In this prospective, observational, single-center study, endotracheal cannula specimens will be collected from a minimum of 100 patients in our intensive care unit. This specimen will be submitted to a specific sonication protocol for bacteria to dislodge the biofilm inside the cannula. The resulting liquid will be seeded on growth media, and then a comparison will be made between the germs in the biofilm and the ones in the tracheal secretion of the patient. The primary purpose is to determine the bacteria before the appearance of a manifest infection.
Research on highway rain monitoring based on rain monitoring coefficient
Authors: Wang Xingyu , Feng Haixia , Wang Na , Zhu Maoxin , Ning Erwei , Li Jian 
Published: April 2023

Abstract
Aiming at the problem of the impact of highway rain on people's life and property safety and traffic safety, this paper proposes an algorithm based on the combination of frequency domain and spatial domain, threshold and morphology, combining high-pass filtering, full-domain value segmentation, method, mask processing, and morphological open-operated denoising to construct the rain coefficient model Prain coefficient, and judge the size of rain according to the value of Prain coefficient. And the data of sunny, cloudy, and rainy days of different sections and different periods of the Jinan Bypass G2001 line were used to verify, and then to warn about the driving safety of vehicles on the highway. The main findings of this paper are: using the rain coefficient model Prain coefficient constructed in this paper, the cloudy and rainy days can be accurately identified and the size of the rain can be judged; this method is not only applicable to highways but also to ordinary road sections; the accuracy of the model is verified and the algorithm in this paper has the highest accuracy. The research in this paper is important for road traffic safety, especially road traffic safety in bad weather such as rain.
Noradrenaline transporter PET reflects neurotoxin-induced noradrenaline level decrease in the rat hippocampus
Authors: SAKAI TAKAYUKI , Hattori Saori , Ogata Aya , Yamada Takashi , Abe Junichiro , Ikenuma Hiroshi , Ichise Masanori , Suzuki Masaaki , Ito Kengo , Kato Takashi , Kimura Yasuyuki 
Published: April 2023

Abstract
Background
The neuropathological changes of early Alzheimer's disease (AD) include neurodegenerative loss of noradrenaline neurons in the locus coeruleus with decreasing noradrenaline availability in their projection areas such as the hippocampus. This diminishing noradrenaline availability is thought to play an important role pathophysiologically in the development of cognitive impairment in AD, because noradrenaline is not only essential for maintaining cognitive functions such as memory, learning and attention, but also its anti-inflammatory action, where its lack is known to accelerate the progression of AD in the mouse model. Therefore, the availability of in vivo biomarkers of the integrity of noradrenaline neurons may be beneficial for furthering our understanding of the role played by the noradrenaline system in the progressive cognitive dysfunction seen in AD patients. In this study, we investigated if PET imaging of noradrenaline transporters can predict the level of noradrenaline in the brain. Our hypothesis was PET measured noradrenaline transporter densities could predict the level of noradrenaline concentrations in the rat hippocampus after lesioning of noradrenaline neurons in this region.
Results
We chemically lesioned the hippocampus of rats (n = 15) by administering a neurotoxin, DSP-4, in order to selectively damage axonal terminals of noradrenergic neurons. These rats then underwent PET imaging of noradrenaline transporters using [11C]MRB ((S, S)-[11C]Methylreboxetine). To validate our hypothesis, postmortem studies of brain homogenates of these rats were performed to measure both noradrenaline transporter and noradrenaline concentrations. [11C]MRB PET showed decreased noradrenaline transporter densities in a DSP-4 dose-dependent manner in the hippocampus of these rats. In turn, these PET measured noradrenaline transporter densities correlated very well with in vitro measured noradrenaline concentrations as well as in vitro transporter densities.
Conclusions
[11C]MRB PET may be used as an in vivo biomarker of noradrenaline concentrations in the hippocampus of the neurodegenerating brain. Further studies appear warranted to extend its applicability to AD studies.
Chameleon Sequences: Ordered or Disordered
Authors: Shahmirani Zohre , Goliaei Bahram , Bahramali Golnaz , Minuchehr Zarrin , Jafaripour Sedighe. Sadat , Shariatpanahi Seyed Peyman 
Published: April 2023

Abstract
Chameleon seqeuences represent a class of sequences violating the important paradigm of molecular biology of one sequence-one structure. Chameleon sequences adopt two different structures in the same protein or in another protein. Why these short sequences are capable of changing their structure has remained unknown. We have examined some properties of chameleon sequences and compared them with those from intreinsically disordered regions of proteins and sequences with known unique secondary structure. Our results show that chameleon sequences have charge distributions very similar to ordered sequences. The GRAVY value of ordered sequences differ from that of intrinsically disordered sequences. Chameleon sequences have GRAVY values close to ordered sequences. A charge-hydropathy plot cleary demonstrated the distribution of ordered, chameleon, and intrinsically disordered regions of proteins. Here again, chameleon sequences placed themselves close to ordered sequences. A conformational analysis of chameleon sequences revealed slight deviations of dihedral angles from ordered sequence values. Based on our analysis we propose that chameleon sequences, with close distance to ordered sequences, have gained limited capability of changing their secondary structure under suitable conditions.
Association between spicy food and hypertension as well as specific types of blood pressure among Han Chinese aged 30–79 years in Sichuan Basin: a population-based cross-sectional study
Authors: Chen Liling , Ding Rui , Luo Qinwen , Ding Xianbin , Yang Xianxian , Liu Xiang , Li Zhifeng , Xu Jingru , Tang Xiaojun , Meng Jiantong , Gao Xufang , Tang Wenge , Wu Jing 
Published: April 2023

AbstractBackground:Spicy food has cardiovascular-protective effects, but its effect on hypertension is uncertain. This study aimed to explore the association between spicy food and hypertension as well as specific types of blood pressure in Sichuan Basin, China.Methods:A cross-sectional analysis was conducted using the Sichuan Basin baseline dataset from the China Multi-Ethnic Cohort (CMEC) study, including data from electronic questionnaires, medical examinations, and clinical laboratory tests. A total of 43,657 residents aged 30–79 years were included in the final analysis. Multiple logistic regression was performed to explore the effect of spicy food on hypertension and multiple linear regression was applied to estimate the effect of spicy food on systolic and diastolic blood pressure (SBP/DBP).Results:For hypertension, negative associations were found only in females: compared to those who do not eat spicy food, the odds ratios of consuming spicy food 6-7 days/week, consuming spicy food with strong strength, and years of eating spicy food-to-age ratio were 0.886 (0.799, 0.982), 0.757 (0.587, 0.977), 0.632 (0.505, 0.792), respectively. For SBP, negative effects of consuming spicy food were found in both genders: among males, the β coefficients of 1-2 days/week, weak strength, and years of eating spicy food-to-age ratio were 0.931 (-1.832, -0.030), -0.639 (-1.247, -0.032), and -2.952 (-4.413, -1.492), respectively; among females, the β coefficients of 3-5 days/week, 6-7 days/week, weak strength, moderate strength, and years of eating spicy food-to-age ratio were -1.251 (-2.115, -0.388), -1.215 (-1.897, -0.534), -0.788 (-1.313, -0.263), -1.807 (-2.542, -1.072), and -5.853 (-7.195, -4.512), respectively. Conversely, higher years of eating spicy food-to-age ratio was found to be related to a higher DBP with β coefficients of 1.300 (0.338, 2.263).Conclusion:Spicy food consumption is inversely related to hypertension among 30–79 years in Sichuan Basin, especially in females. The protective effect of spicy food appears to be on SBP.
Development of an AI System to Monitor Atrial Fibrillation with an ECG-based Stroke Potential Detection Engine Running in the Cloud
Authors: Okamura Tomoyuki , Quan Nguyen Sy , Kobayashi Takuya 
Published: April 2023

Abstract
Recent developments in medical technology and their global spread have extended human life expectancy. Even acute illnesses that once had very low survival rates can now be treated quickly and minimally invasively. On the other hand, prognosis and quality of life are becoming increasingly important. For example, cardiogenic cerebral infarction (CCI) is one of the diseases for which the life-saving rate of patients has risen sharply, but the decline in quality of life due to physical and mental impairment in the prognosis and the costs associated with the care of such patients have become a problem. Therefore, early detection and treatment of atrial fibrillation (AF), which is considered to be a cause of cardiogenic stroke, is attracting attention as a means of stroke prevention. However, early detection of AF requires electrocardiographic recording and diagnosis by a physician at the time of AF onset. We have therefore analysed data from different electrocardiographs and developed an AI that can determine the presence or absence of AF with high accuracy. This AI has been designed to operate in the cloud and can receive, analyse and judge data from electrocardiographs worn by people at the onset of atrial fibrillation, whether they are in or out of the hospital. This makes it possible to obtain electrocardiographic data from people in their daily lives, easily determine whether or not they have developed AF and, if it is determined that they have to visit a medical facility and receive treatment at an early stage. As a result, the prevention rate of cardiogenic stroke can be increased, reducing the quality of life due to its sequelae and the costs required to care for the patient. This AI and related system construction will play a major role in addressing the problems associated with a society with a long life expectancy, which is likely to increase in the future.
A Neoadjuvant Therapy Compatible Prognostic Staging for Resected Pancreatic Ductal Adenocarcinoma
Authors: Zhu Lingyu , Shen Shuo , Wang Huan , Zhang Guoxiao , Yin Xiaoyi , Shi Xiaohan , Gao Suizhi , Han Jiawei , Ren Yiwei , Wang Jian , Jiang Hui , Guo Shiwei , Jin Gang 
Published: April 2023

Abstract
Objective: A refined staging system compatible with upfront surgery (UFS) and neoadjuvant therapy (NAT) for PDAC was developed to revise the prediction ability of the AJCC staging system.
Background: The AJCC staging system was developed for patients who have undergone UFS for PDAC, and it has limited prognostic ability for patients receiving NAT.
Methods: We analyzed 146 PDAC patients who underwent resection after NAT and 1771 patients who underwent UFS between 2012 and 2021 at the Changhai Hospital. Cox proportional regression analysis was used to identify the clinicopathological features and the Neoadjuvant Therapy Compatible Prognostic (NATCP) staging was designed based on these variables. Validation was performed in the prospective NAT cohort and the SEER database. The staging system was then compared with the AJCC staging system in terms of prognostic accuracy.
Results: The multivariate analysis demonstrated that tumor differentiation and number of positive lymph nodes were independently associated with OS in the NAT cohort. The NATCP staging simplified the AJCC stages, incorporated tumor differentiation and restaged the disease according to the survival differences observed in the Kaplan-Meier curves. The median OS for NATCP stages IA, IB, II and III were not reached, 31.7 months, 25.0 months, 15.8 months in the NAT cohort and 30.1 months, 22.8 months, 18.3 months ,14.1 months in the UFS cohort. The NATCP staging demonstrated better accuracy compared with the AJCC staging system and was validated in the validation cohort.
Conclusions: The NATCP staging provided better prognostic ability than the current AJCC staging system for resected PDAC regardless of the use of NAT and may facilitate clinical decision-making based on accurate prediction of OS of patients.
Early Puberty Paradox: An Investigation of Anxiety Levels of Mothers and Children, Children's Quality of Life and, Psychiatric Diagnoses
Authors: KARDAŞ Burcu , KARDAŞ Ömer , Demiral Meliha , Özbek Mehmet Nuri 
Published: April 2023

Abstract
Purpose Early puberty signs lead to an increase in anxiety levels of parents and children. The aim of this study was to investigate the quality of life and anxiety levels of girls and their mothers who were admitted to a pediatric endocrinology clinic with concerns about early puberty.Methods Girls and their mothers who were admitted to endocrinology outpatient clinic with concerns about early puberty were compared to healthy control group. Screen for Child Anxiety Related Emotional Disorders-Parent form (SCARED), Quality of Life for Children Scale-parent form (PedsQL) and Beck Anxiety Inventory (BAI) were administered to the mothers. Children were evaluated with the Schedule for Affective Disorders and Schizophrenia for School-Age Children (Kiddie-SADS Lifetime Version) (K-SADS-PL).Results The study sample consisted of 92 girls, 62 of them administered to clinic with concerns about early puberty. There were 30 girls in early puberty group (Group 1), 32 girls in the normal development group (Group 2) and 30 were in the healthy control group (Group 3). The anxiety level of Group 1 and Group 2 was significantly higher and their quality of life was significantly lower when compared to Group 3 (p < 0,001). Mother’s anxiety level was found significantly higher in Group 2 (p < 0,001). It has shown that, anxiety level and quality of life of children was associated with anxiety level of mothers and the current Tanner stage (rspearman = 0.302, p < 0.005).CONCLUSION Mothers and children who have concerns about early puberty are negatively affected when early puberty is a possibility. For this reason, educating parents will prevent negative impacts of this situation on children. At the same time, it will decrease health burden.
The diagnostic and prognositic significances of HIF1A in glioma patients, a meta-analysis and bioinformatics approach
Authors: Ming Cheng , Zheng Liang , Zhang Mao , Wu Jumin , Feng Yuelan , Wu Yun , Wang Xiaoqin , Wang Xiaomin 
Published: April 2023

Abstract
Background Hypoxia-inducible factor 1 (HIF-1) is a transcription factor that plays a critical role in the development and progression of tumors. Recent studies have assessed the relationship between expression level of hypoxia-inducible factor 1α (HIF1A) and prognosis in gliomas patients, and some of the results indicated the gliomas patient with high expression level of HIF1A seemed to have relatively poor prognosis. However, the heterogeneity among these studies was large. So to comprehensively and quantitatively summarize the evidence on the survival of patients with gliomas, a meta-analysis and a bioinformatics analysis was performed.Results Totally, 12 papers including 912 patients were subjected to final analysis. The combined hazard ratio (HR) was 1.47 (95% CI: 1.24–1.70) in the analyses of OS, and the significant heterogeneity (I2 = 48.0%, P = 0.027) was observed. Further, subgroup analyses by ethnicity were conducted: the combined hazard ratio (HR) for Caucasian was 1.30 (95% CI: 1.03 − 1.56, I2 = 40.1%, p = 0.112), and that for Asian was 2.03 (95% CI: 1.56–2.50, I2 = 9.0%, p = 0.355). By analyzing the datasets from The Cancer Genome Atlas (TCGA), The Genotype-Tissue Expression (GTEx) ,Chinese Glioma Genome Atlas (CGGA) and cBioPortal for Cancer Genomics, it was found that there were significantly different for HIF1A expressional levels between gliomas and the normal samples, and HIF1A expressional levels were related to overall survival rate (OS), tumor recurrence and some prognostic factors (eg. 1p/19q co-deletion, IDH mutation and MGMT methylation) of giloma patients.Conclusions Taken together, HIF1A could be a diagnostic marker and independent prognostic factor for gliomas, and comparing with Caucasian patients, Asian patients with HIF1A overexpression tended to have a more poor prognosis.
Improving the Performance and Interpretability on Medical Datasets using Graphical Ensemble Feature Selection
Authors: Battistella Enzo , Ghiassian Dina , Barabási Albert 
Published: April 2023

Abstract

A major hindrance towards using Machine Learning on medical datasets is the discrepancy between a large number of variables and small sample sizes.
While multiple feature selection techniques have been proposed to avoid the resulting overfitting, overall ensemble techniques offer the best selection robustness.
Yet, current methods designed to combine different algorithms generally fail to leverage the dependencies identified by their components.
Here, we propose Graphical Ensembling (GE), a graph-theory-based ensemble feature selection technique designed to improve the stability and relevance of the selected features.
Relying on four datasets, we show that GE increases classification performance with fewer selected features.
For example, on rheumatoid arthritis patient stratification, GE outperforms the baselines by 9% Balanced Accuracy with fewer features than the baseline methods.
We use data on sub-cellular networks to show that the selected features (proteins) are closer to the known disease genes, and the uncovered biological mechanisms are more diversified.
By successfully tackling the complex correlations between biological variables, we anticipate that GE will improve the medical applications of machine learning.
Impact of green finance on green total factor productivity based on environmental governance perspective-Take a provincial panel in China as an example
Authors: wu ziqian 
Published: April 2023

Abstract
This paper selects provincial panel data from 2011–2020 and establishes a spatial error model to quantitatively analyze the impact of green finance on green total factor productivity from an environmental governance perspective. The results show that: green finance has a significant positive and significant direct effect on green total factor productivity improvement; there is significant heterogeneity in the promotion effect of green finance on green total factor productivity, concluding that the impact of green finance on green industries in the eastern and central regions have a greater impact on GTFP enhancement, green finance has a limited impact on the western region, and the effect on low-carbon pilots is greater than the effect on non-low-carbon pilots; with the improvement of environmental governance, the positive promotion relationship between the comprehensive level of green finance and green total factor productivity is strengthened; the comprehensive level of green finance has a There is a direct promotion effect and a single threshold effect, when green finance is smaller than the threshold, the direct promotion effect is stronger; the level of environmental governance promotes the improvement of green total factor productivity by the comprehensive level of green finance, and there is a positive effect and a double threshold effect, as the level of environmental governance improves, the improvement of green total factor productivity by green finance shows a "rising first and then declining "With the improvement of environmental governance, the improvement of green total factor productivity by green finance shows an "inverted U-shaped" change.