Abstract Natural killer (NK) cells have been suggested to be associated with type 2 diabetes by regulating systemic inflammation. However, the mechanism which NK regulate insulin sensitivity remains unknown. This study shows that NK-derived exosomes from lean mice attenuate obesity-induced resistance and inflammation in of diabetes. Moreover, enhance relieve adipocytes hepatocytes. MiR-1249-3p, is significantly upregulated exosomes, can transferred hepatocytes via exosomes. exosomal...

The major adverse cardiovascular events (MACE) often occur with high morbidity and mortality globally. It is very important to predict the MACE occurrences accurately in patients acute coronary syndrome (ACS). Therefore, this paper proposes a stacking ensemble model for prediction of ACS at early stage. Our research contents are summarized as follows. First, we use Korea Acute Myocardial Infarction Registry National Institutes Health (KAMIR-NIH) dataset, our experimental data extracted from...

Nowadays, machine learning (ML) is a revolutionary and cutting-edge technology widely used in the medical domain health informatics diagnosis prognosis of cardiovascular diseases especially. Therefore, we propose ML-based soft-voting ensemble classifier (SVEC) for predictive modeling acute coronary syndrome (ACS) outcomes such as STEMI NSTEMI, discharge reasons patients admitted hospitals, death types affected during hospital stay. We Korea Acute Myocardial Infarction Registry (KAMIR-NIH)...

Wafer maps provide engineers with important information about the root causes of failures during semiconductor manufacturing process. Through efficient recognition wafer map failure pattern type, process and its product performance can be improved, as well reducing cost. Therefore, this paper proposes an accurate model for automatic types using a deep learning-based convolutional neural network (DCNN). For experiment, we use WM811K, which is open-source real-time dataset containing images...

The construction of the index system is incomplete in accuracy evaluation ideological and political work Colleges universities, which leads to poor effect universities. Therefore, this paper proposes introduce artificial intelligence big data technology improve Analyze starring participants determine basic principles importance indicators teachers’ teaching, students’ classroom learning, after-school practice, school work, divide them into primary secondary indicators. naive Bayesian model...

Heart failure is a clinical syndrome that occurs when the heart too weak or stiff and cannot pump enough blood our body needs. It one of most expensive diseases due to frequent hospitalizations emergency room visits. Reducing unnecessary rehospitalizations also an important challenging task has potential saving healthcare costs, enabling discharge planning, identifying patients at high risk. Therefore, this paper proposes deep learning-based prediction model rehospitalization during 6, 12,...

Thieno[3,2-<italic>b</italic>]thiophene (TT) as a π-bridge leads to better photovoltaic performance.

The human heart, crucial for health and longevity, is a primary focus of medical research. Despite advancements in cardiac organoid technology, replicating early chamber formation stages remains challenging. Here, we develop chambered organoids (CCOs) by orchestrating signaling pathways, including the synergistic modulation FGF Wnt via HAND1 transcription factor. These CCOs exhibit stable chambers with self-organized outer myocardial inner endocardial layers, express developmental markers...

Just by replacing alkoxyphenyl with the alkoxybiphenyl group, PCE of PBDTBP–DTffBT based PSCs is higher than that PBDTP–DTffBT devices due to its extended π-conjugation length.

Recent years, the diabetes mellitus is an important public health problem and has been top 10 leading causes of death in lower-middle-income countries upper-middle-income world. In this study, we tried to use a hybrid feature selection approach find proper optimal subsets classify predict patients Korea based on data from National Health Nutrient Examination Survey (KNHANES). We used information gain as filter phase support vector machine with sequential search method wrapper phase. To...

Just by replacing sulfur with oxygen atom, the <italic>V</italic>_oc of PBDT-fDTBO based PSCs is 0.2 V higher than PBDT-fDTBT devices.

ABSTRACT Recently, we have used terthiophene side chain to modify benzo[1,2‐b:4,5‐b′]dithiophene (BDT) form novel building block for BDT polymers. In this paper, is copolymerized with thieno[3,4‐c]pyrrole‐4,6‐dione (TPD) and thieno[3,4‐b]thiophene (TT). This TPD‐ or TT‐based polymers (P1 P3) show high open circuit voltage ( V OC ) (ca. 0.9–0.95 V) low energy loss E g –e in solar cells devices compared similar without bulky chain. We further introduce thiophene π bridge into these backbone...

ABSTRACT In this article, two dithienosilole (DTS) and bithiazole (BTz) backboned donor–acceptor (D‐A) copolymers with (poly{5‐(5‐(4,4‐bis(2‐ethylhexyl)‐4H‐silolo[3,2‐b:4,5‐b']dithiophen‐2‐yl)thiophen‐2‐yl)‐4,4'‐dinonyl‐5'‐(thiophen‐2‐yl)‐2,2'‐bithiazole} (PDTS‐DTBTz)) without (poly{5‐(4,4‐bis(2‐ethylhexyl)‐4H‐silolo[3,2‐b:4,5‐b']dithiophen‐2‐yl)‐4,4'‐dinonyl‐2,2'‐bithiazole} (PDTS‐BTz)) thiophene π‐bridge were synthesized to study the influence of on their photovoltaic performances. Both...

Background and objectives Hypertension is one of the most serious risk factors leading cause mortality in patients with cardiovascular diseases (CVDs). It necessary to accurately predict suffering from CVDs hypertension. Therefore, this paper proposes a novel cost-sensitive deep neural network (CSDNN)-based prediction model for out-of-hospital acute myocardial infarction (AMI) hypertension on imbalanced data. Methods The synopsis our research as follows. First, experimental data extracted...

With the continuous development of society, mental health college students has attracted attention for research. In order to better understand and pay positive emotions students, we designed a digital archive system based on blockchain technology. The is decentralized, untamperable, transparent provides secure, trustworthy, privacy-protected storage sharing mechanism. By collecting students' emotional data, generates personalized emotion profiles advice support health.

In view of the large amount data and slow processing speed radar echo data, sparseness signal, we use different measurement matrices to compress image, restore compare similarity. The result shows that have influences on results recovery. Among them, Gaussian random matrix has best recovery effect.