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Open AccessIndividualized dynamic frailty-tailored therapy (DynaFiT) in elderly patients with newly diagnosed multiple myeloma: a prospective study
It remains a substantial challenge to balance treatment efficacy and toxicity in geriatric patients with multiple myeloma (MM), primarily due to the dynamic nature of frailty. Here, we conducted a prospective ...
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Article
Angiogenin-mediated tsRNAs control inflammation and metabolic disorder by regulating NLRP3 inflammasome
The cellular stress response system in immune cells plays a crucial role in regulating the development of inflammatory diseases. In response to cellular damage or microbial infection, the assembly of the NLRP3...
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Article
Open AccessA negative feedback loop between TET2 and leptin in adipocyte regulates body weight
Ten-eleven translocation (TET) 2 is an enzyme that catalyzes DNA demethylation to regulate gene expression by oxidizing 5-methylcytosine to 5-hydroxymethylcytosine, functioning as an essential epigenetic regul...
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Article
Blockchain-based collaborative business process data sharing and access control
To solve the problems of large-scale data storage and reliable access control in blockchain-based collaborative business process executions with multiple participants and internet of things (IoT) devices, an i...
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Design-time business process compliance assessment based on multi-granularity semantic information
Business process compliance is an essential part of business process management, which saves organizations from penalties caused by non-compliant processes. However, current researches on business process comp...
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Article
Open AccessSelenium Concentration Is Positively Associated with Triglyceride-Glucose Index and Triglyceride Glucose-Body Mass Index in Adults: Data from NHANES 2011–2018
Compiling evidence supports that selenium plays a vital role in glucose metabolism. Triglyceride-glucose index (TyG) and triglyceride-glucose-body mass index (TyG-BMI) are commonly used in epidemiologic studie...
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Article
Central Limit Theorems and Moderate Deviations for Stochastic Reaction-Diffusion Lattice Systems
This paper is concerned with the stochastic reaction-diffusion lattice systems defined on the entire set with both locally Lipschitz nonlinear drift and diffusion terms. The central limit theorem is derived fo...
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Article
Autophagy markers, cognitive deficits and depressive symptoms in Parkinson’s disease
Depressive symptoms are common in Parkinson’s disease (PD). The relationships between autophagy and PD or depression have been documented. However, no studies explored the role of autophagy markers associated ...
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Article
Identification an innovative classification and nomogram for predicting the prognosis of thyroid carcinoma patients and providing therapeutic schedules
Thyroid carcinoma (THCA) represents a prevalent form of cancer globally, with its incidence demonstrating an upward trend in recent years. Accumulating evidence has indicated that programmed cell death (PCD) p...
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The relationship between inflammatory markers, clinical characteristics, and cognitive performance in drug-naïve patients with schizophrenia
Increasing evidence implicates that inflammatory factors do play a crucial role in the pathophysiology of schizophrenia. However, the association between inflammatory markers and different symptom dimensions a...
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Article
Open AccessA non-canonical striatopallidal Go pathway that supports motor control
In the classical model of the basal ganglia, direct pathway striatal projection neurons (dSPNs) send projections to the substantia nigra (SNr) and entopeduncular nucleus to regulate motor function. Recent stud...
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More than 2% circulating plasma cells as a prognostic biomarker in a large cohort of patients with newly-diagnosed multiple myeloma
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Identification a unique disulfidptosis classification regarding prognosis and immune landscapes in thyroid carcinoma and providing therapeutic strategies
Thyroid carcinoma (THCA) is a common type of cancer worldwide, and its incidence has been increasing in recent years. Disulfidptosis, a recently defined form of metabolic-related regulated cell death (RCD), ha...
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Article
Multidirectional short-term traffic volume prediction based on spatiotemporal networks
Traffic volume (i.e., the volumes of cars, bikes and crowds) demonstrates real-time traffic hotspots and city transportation movement patterns, whose prediction is of great significance in traffic management a...
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Sex- and age-specific prevalence and risk factors of depressive symptoms in Parkinson’s disease
Although depressive symptoms are common in PD, few studies investigated sex and age differences in depressive symptoms. Our study aimed to explore the sex and age differences in the clinical correlates of depr...
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Article
Predicting Android malware combining permissions and API call sequences
Malware detection is an important task in software maintenance. It can effectively protect user information from the attack of malicious developers. Existing studies mainly focus on leveraging permission infor...
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Problematic utilization of online social networking site in Chinese college students: prediction of personality and dynamic mediators
Utilization of online social networking sites (SNSs) is often problematic in young people. However, studies seldom seek to understand personal differences and deep-seated reasons in its problematic utilization...
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Negative symptoms and neurocognition in drug-naïve schizophrenia: moderating role of plasma neutrophil gelatinase-associated lipocalin (NGAL) and interferon-gamma (INF-γ)
Previous studies reported that peripheral inflammation was associated with cognitive performance and brain structure in schizophrenia. However, the moderating effect of inflammation has not been extensively st...
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Open AccessNeurophysiological markers of emotion regulation predict efficacy of entrepreneurship education
Recent evidence shows that programs targeting the socio-emotional dimensions of entrepreneurship—e.g., resilience, personal initiative, and empathy—are more highly correlated with success along with key busine...
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STaTRL: Spatial-temporal and text representation learning for POI recommendation
With the rapid development of location-based social networks (LBSNs), point-of-interest (POI) recommendations have become a practical problem attracting more and more attention. Recent studies mostly utilize c...