Research works

Autologous Hematopoietic Stem Cell Transplantation in Aquaporin-4 Immunoglobulin G–Positive Neuromyelitis Optica Spectrum Disorder After Satralizumab Failure

Neuromyelitis optica spectrum disorder (NMOSD) is a severe autoimmune astrocytopathy mediated by aquaporin-4 immunoglobulin G (AQP4-IgG), characterized by recurrent inflammatory events affecting predominantly the optic nerves and spinal cord. Despite the availability of targeted...

Single-cell transcriptomics uncovers HPV-driven immune evasion and establishes a TAB2-based prognostic signature in cervical cancer

Background Persistent human papillomavirus (HPV) infection is a key driver in cervical cancer, yet the molecular mechanisms linking HPV to immune escape remain incompletely understood. Methods We integrated single-cell RNA sequencing (scRNA-seq), bulk transcriptome, and clinical...

Students’ social anxiety, fear of missing out, and academic procrastination and their effect on online learning engagement: a mixed-methods study

The prevalence of online learning has been on the rise around the world. The present study aimed to examine the complex relationship between social anxiety, fear of missing out, academic procrastination, and online learning engagement among 1006 students at B University. Utilizin...

An Institutional Ethnographic Study of End-of-Life Home Care for Older Adults in Japan

본 연구는 일본의 지역포괄케어시스템에서 고령자가 생애말기 재택케어를 유지하면서 생애 마지막 장소를 선택하는 과정을 제도적 문화기술지(Institutional Ethnography)로 분석한 연구이다. 일본 고령자의 생애말기 돌봄을 분석한 기존 연구들이 주로 재택임종의 조건이나 ACP의 중요성에 주목해왔다...

Ultrasound-assisted esterification of levulinic acid for sustainable butyl levulinate production over tin(II)-modified silicotungstic acid supported on activated bentonite

Leveraging ultrasound irradiation and Brønsted–Lewis acid synergy, butyl levulinate (BL), a promising bio-based fuel additive, was synthesized by esterifying levulinic acid (LA) with n -butanol over tin(II)-modified silicotungstic acid supported on activated bentonite (Sn x STA/a...

Ontological Pluralism Without Degrees of Being

Contemporary ontological pluralism is largely conducted within a shared quantifier-first settlement in which being is rendered as existence and ontological structure through fundamental quantification. Turner shows that multiple fundamental quantifiers need not collapse under the...

Accounting for noise improves the generalization of acoustic indices when estimating biodiversity

The use of Passive Acoustic Monitoring (PAM) for estimating biodiversity often entails the use of acoustic indices that summarize the acoustic properties of the recordings. Although acoustic indices have been shown to successfully track biodiversity in limited contexts, the recur...

Management of the volcanological data: an overview

Volcanological data are inherently diverse and heterogeneous. They originate from a broad spectrum of sources, including field observations, sample analyses, ground-based, airborne and satellite remote sensing instruments, permanent monitoring networks, and temporary field campai...

Drivers of spectro-temporal variability in multi-spectral soil reflectance measured from space: A continental-scale analysis

In Europe, bare soil is typically exposed only during short time windows and optical sensing by satellite constellations, such as Sentinel-2 and Landsat, therefore commonly relies on aggregates of soil reflectance spectra over extended periods of time. Depending on the length of...

STABILOOP, a cohort trial to assess automated insulin delivery in the management of patients living with type 1 diabetes who are eligible for islet transplantation

A limited subset of people living with type 1 diabetes (T1D) is affected by extreme glycemic lability and frequent unpredictable severe hypoglycemia, significantly impairing quality of life and associated with higher morbidity, mortality, and healthcare costs. Islet transplantati...

Dramatic clinical and radiological improvement in acute hemorrhagic leukoencephalitis: a case report

Acute hemorrhagic leukoencephalitis (AHLE) is a rare, fulminant inflammatory demyelinating disorder considered a severe variant of acute disseminated encephalomyelitis and is associated with high morbidity and mortality, particularly in children. Early diagnosis remains challengi...

Teaching to learn and learning to teach: using machine training to develop artificial intelligence partners in new product development

Artificial intelligence (AI) is increasingly shaping how innovation is developed, and new product development (NPD) is an important domain at the centre of this shift, given its data-rich, high-uncertainty contexts. In this paper, we focus on the design and training of AI systems...

Silent allies: non-living microbes shaping the future of cardiometabolic health

Background Metabolic syndrome and its components constitute significant global health challenges, and growing evidence links their development to gut microbiota disturbances and altered microbial metabolites. Postbiotics have emerged as promising alternatives to traditional probi...

Criterion A in developmental coordination disorder: Is motor competence efficiently assessed? A systematic review and meta-analysis of mixed evidence from standardized assessments

Background Standardized motor batteries are widely used to assess motor competence in children with developmental coordination disorder (DCD), although it remains unclear whether they consistently capture the domains most affected by the disorder . Aims This systematic review and...

Pre-trained knowledge transfer with application in multisystem inflammatory syndrome subphenotyping in children

Multisystem inflammatory syndrome in children (MIS-C) is a severe post-acute sequela of SARS-CoV-2 infection in children and presents with highly heterogeneous signs and symptoms. Disentangling the clinical manifestations of MIS-C by characterizing its subphenotypes can help iden...

Susceptibility haplotypes in non-cystic fibrosis newborns with elevated immunoreactive trypsinogen

Cystic fibrosis (CF) represents the most prevalent life-threatening autosomal recessive disorder in Europe, primarily affecting the respiratory tract, exocrine pancreatic function, and lipid metabolism. Immunoreactive trypsinogen (IRT) quantification constitutes the first-tier te...

Machine learning and deep learning techniques for effective supply chain management

The growth in data volume and complexity of decision-making create the need for new data analytics methods, such as machine learning (ML) and deep learning (DL), which are critical for improving various tasks in supply chain management (SCM). Recent studies have highlighted the b...

A new type of hybrid bream derived from a hybrid of Megalobrama amblycephala (♀) × Xenocypris davidi (♂)

Blunt snout bream ( Megalobrama amblycephala , BSB, 2 n = 48) is an endemic and economically important freshwater fish in China, characterized by its ease of culture, rapid growth, and high meat quality. However, the industry faces challenges such as germplasm degradation and a l...

FABP4 and L-acetylcarnitine as candidate biomarkers for small airway dysfunction in children with obese type 2 asthma: a pilot cross-sectional multi-omics study

Childhood obesity-associated asthma represents a distinct phenotype with incompletely understood metabolic mechanisms. This hypothesis-generating study aimed to screen candidate biomarkers associated with small airway dysfunction in children with obese type 2 asthma and explore p...

Eco-friendly biosynthesis of silver nanoparticles with Amyntas morrisi earthworm extract and its antibacterial activity

Earthworms are soil-dwelling macroinvertebrates that contribute significantly to soil fertility and productivity. In India, various tribes have used earthworms to address diverse health issues. A native earthworm species, identified as Amyntas morrisi , was isolated from Kodaikan...